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Prevalence of atrial fibrillation : The Swiss population-based CoLaus|PsyCoLaus study. Herz 2023; 48:48-54. [PMID: 34902049 PMCID: PMC9892084 DOI: 10.1007/s00059-021-05090-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/31/2021] [Accepted: 11/16/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is the most common arrhythmia worldwide and is associated with increased morbi-mortality. The prevalence of AF in the Western world is increasing; however, reports on the prevalence of AF in the past decade are scarce, and whether the prevalence of AF increased during the last decade in Switzerland remains uncertain. Therefore, using data from a Swiss population-based sample, we aimed to assess the point prevalence of AF from 2014 to 2017 and to investigate determinants of AF. METHODS A cross-sectional analysis of 4616 Caucasian participants aged 45-86 years (55% women) from a population-based sample was designed to explore the point prevalence and determinants of cardiovascular risk factors in the population of Lausanne, Switzerland. AF was assessed using electrocardiography (ECG) between 2014 and 2017. RESULTS Overall, the point prevalence of AF was 0.9% (95% confidence interval [95% CI]: 0.7-1.2%) and the combined AF + atrial flutter (AFL) point prevalence was 1.1% (95% CI: 8.4-1.5%). The point prevalence of AF was higher among men (81% vs. 19% in women) and increased with age, reaching 3.1% in participants aged ≥ 80. In multivariable analysis, male gender (odds ratio and 95% CI: 4.98 [1.01-24.6]) and increasing age (2.86 [1.40-5.87] per decade) were associated with AF. CONCLUSION The point prevalence of AF and of AF + AFL, assessed between 2014 and 2017 in the city of Lausanne (Switzerland), was low but increased with age and in men.
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Associations between Hunger and Psychological Outcomes: A Large-Scale Ecological Momentary Assessment Study. Nutrients 2022; 14:nu14235167. [PMID: 36501197 PMCID: PMC9736756 DOI: 10.3390/nu14235167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/21/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
Abstract
Studies assessing the association between hunger and psychological states have been conducted in laboratory settings, or limited to persons with eating disorders. In this study, 748 community-dwelling adults (56.4% women, 60.0 ± 9.3 years) completed the Ecological Momentary Assessment four times a day (08:00, 12:00, 16:00 and 20:00) for seven days. At each assessment, respondents indicated their current hunger level, food intake, and psychological states (sad, anxious, active, lively, distracted, anhedonic, angry, slow thinking and restless). Time-lagged associations assessing the effect of hunger on subsequent psychological states 4 h later and vice-versa were assessed. Hunger intensity increased subsequent active feeling (coefficient and 95% confidence interval: 0.029 (0.007; 0.051)) and lively feeling (0.019 (0.004; 0.034)) and decreased later slow thinking (-0.016 (-0.029; -0.003)). Previous eating increased later activity (0.116 (0.025; 0.208)). Feeling active (0.050 (0.036; 0.064)), lively (0.045 (0.023; 0.067)) and restless (0.040 (0.018; 0.063)) increased later hunger intensity, while distraction (-0.039 (-0.058; -0.019)) and slow thinking (-0.057 (-0.080; -0.034)) decreased it. No association was found between hunger, food intake and negative psychological states (sadness, anxiety and anger). Conclusions: Positive psychological states and hunger influence each other, while no association was found between hunger and negative psychological states.
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Petit JM, Strippoli MPF, Stephan A, Ranjbar S, Haba-Rubio J, Solelhac G, Heinzer R, Preisig M, Siclari F, Do KQ. Sleep spindles in people with schizophrenia, schizoaffective disorders or bipolar disorders: a pilot study in a general population-based cohort. BMC Psychiatry 2022; 22:758. [PMID: 36463186 PMCID: PMC9719140 DOI: 10.1186/s12888-022-04423-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/24/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Sleep spindles have been involved in sleep stabilization and sleep-related memory mechanisms and their deficit emerged as possible biomarker in schizophrenia. However, whether this sleep phenotype is also present in other disorders that share psychotic symptoms remains unclear. To address this gap, we assessed sleep spindles in participants of a prospective population-based cohort who underwent psychiatric assessment (CoLaus|PsyCoLaus) and polysomnographic recording (HypnoLaus). METHODS Sleep was recorded using ambulatory polysomnography in participants (N = 1037) to the PsyCoLaus study. Sleep spindle parameters were measured in people with a lifelong diagnosis of schizophrenia (SZ), schizoaffective depressive (SAD), schizoaffective manic (SAM), bipolar disorder type I (BP-I) and type II (BP-II). The associations between lifetime diagnostic status (independent variables, SZ, SAD, SAM, BPD-I, BPD-II, controls) and spindle parameters (dependent variables) including density, duration, frequency and maximum amplitude, for all (slow and fast), slow- and fast-spindle were assessed using linear mixed models. Pairwise comparisons of the different spindle parameters between the SZ group and each of the other psychiatric groups was performed using a contrast testing framework from our multiple linear mixed models. RESULTS Our results showed a deficit in the density and duration of sleep spindles in people with SZ. They also indicated that participants with a diagnosis of SAD, SAM, BP-I and BP-II exhibited different sleep spindle phenotypes. Interestingly, spindle densities and frequencies were different in people with a history of manic symptoms (SAM, BP-I, and BP-II) from those without (SZ, SAD). CONCLUSIONS Although carried out on a very small number of participants due to the low prevalence of these disorders in general population, this pilot study brought new elements that argued in favor of a deficit of sleep spindles density and duration in people with schizophrenia. In addition, while we could expect a gradual change in intensity of the same sleep spindle parameters through psychotic diagnoses, our results seem to indicate a more complex situation in which the frequency of sleep spindles might be more impacted by diagnoses including a history of mania or hypomania. Further studies with a larger number of participants are required to confirm these effects.
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Affiliation(s)
- Jean-Marie Petit
- Center for Psychiatric Neuroscience (CNP), CHUV, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 11c, CH-1008, Prilly, Switzerland.
| | - Marie-Pierre F. Strippoli
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology (CEPP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Aurélie Stephan
- grid.8515.90000 0001 0423 4662Center for Sleep Research and Investigation (CIRS), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Serateh Ranjbar
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology (CEPP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - José Haba-Rubio
- grid.8515.90000 0001 0423 4662Center for Sleep Research and Investigation (CIRS), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Geoffroy Solelhac
- grid.8515.90000 0001 0423 4662Center for Sleep Research and Investigation (CIRS), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Raphaël Heinzer
- grid.8515.90000 0001 0423 4662Center for Sleep Research and Investigation (CIRS), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology (CEPP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Francesca Siclari
- grid.8515.90000 0001 0423 4662Center for Sleep Research and Investigation (CIRS), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Kim Q. Do
- grid.414250.60000 0001 2181 4933Center for Psychiatric Neuroscience (CNP), CHUV, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Route de Cery 11c, CH-1008 Prilly, Switzerland
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Marchi NA, Pizzarotti B, Solelhac G, Berger M, Haba‐Rubio J, Preisig M, Vollenweider P, Marques‐Vidal P, Lutti A, Kherif F, Heinzer R, Draganski B. Abnormal brain iron accumulation in obstructive sleep apnea: A quantitative MRI study in the HypnoLaus cohort. J Sleep Res 2022; 31:e13698. [PMID: 35830960 PMCID: PMC9787990 DOI: 10.1111/jsr.13698] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/23/2022] [Accepted: 06/28/2022] [Indexed: 12/30/2022]
Abstract
Obstructive sleep apnea syndrome (OSA) may be a risk factor for Alzheimer's disease. One of the hallmarks of Alzheimer's disease is disturbed iron homeostasis leading to abnormal iron deposition in brain tissue. To date, there is no empirical evidence to support the hypothesis of altered brain iron homeostasis in patients with obstructive sleep apnea as well. Data were analysed from 773 participants in the HypnoLaus study (mean age 55.9 ± 10.3 years) who underwent polysomnography and brain MRI. Cross-sectional associations were tested between OSA parameters and the MRI effective transverse relaxation rate (R2*) - indicative of iron content - in 68 grey matter regions, after adjustment for confounders. The group with severe OSA (apnea-hypopnea index ≥30/h) had higher iron levels in the left superior frontal gyrus (F3,760 = 4.79, p = 0.003), left orbital gyri (F3,760 = 5.13, p = 0.002), right and left middle temporal gyrus (F3,760 = 4.41, p = 0.004 and F3,760 = 13.08, p < 0.001, respectively), left angular gyrus (F3,760 = 6.29, p = 0.001), left supramarginal gyrus (F3,760 = 4.98, p = 0.003), and right cuneus (F3,760 = 7.09, p < 0.001). The parameters of nocturnal hypoxaemia were all consistently associated with higher iron levels. Measures of sleep fragmentation had less consistent associations with iron content. This study provides the first evidence of increased brain iron levels in obstructive sleep apnea. The observed iron changes could reflect underlying neuropathological processes that appear to be driven primarily by hypoxaemic mechanisms.
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Affiliation(s)
- Nicola Andrea Marchi
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Beatrice Pizzarotti
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Geoffroy Solelhac
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Mathieu Berger
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - José Haba‐Rubio
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Martin Preisig
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of PsychiatryLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Peter Vollenweider
- Service of Internal Medicine, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Pedro Marques‐Vidal
- Service of Internal Medicine, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Raphael Heinzer
- Centre for Investigation and Research on Sleep, Department of MedicineLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical NeurosciencesLausanne University Hospital (CHUV) and University of LausanneLausanneSwitzerland
- Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
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105
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Cífková R, Bruthans J, Strilchuk L, Wohlfahrt P, Krajčoviechová A, Šulc P, Jozífová M, Eremiášová L, Pudil J, Linhart A, Widimský J, Filipovský J, Mayer O, Škodová Z, Lánská V. Longitudinal trends in blood pressure, prevalence, awareness, treatment, and control of hypertension in the Czech population. Are there any sex differences? Front Cardiovasc Med 2022; 9:1033606. [PMID: 36440040 PMCID: PMC9686845 DOI: 10.3389/fcvm.2022.1033606] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/28/2022] [Indexed: 03/20/2025] Open
Abstract
BACKGROUND Hypertension is the most common cardiovascular disease which substantially increases cardiovascular morbidity and mortality. Despite the broad availability of antihypertensive medication, control of hypertension is not satisfactory worldwide. OBJECTIVE The study aim was to assess longitudinal trends in blood pressure, prevalence, awareness, treatment, and control of hypertension in a representative population sample of the Czechia from 1985 to 2016/2017, focusing on sex differences. METHODS A total of 7,606 men and 8,050 women aged 25-64 years were screened for major CV risk factors in seven independent cross-sectional surveys run consistently in the same six country districts of the Czechia between 1985 and 2016/2017. The population samples were randomly selected. RESULTS Over a study period of 31/32 years, there was a significant decline in systolic and diastolic blood pressure in both sexes, whereas the prevalence of hypertension decreased only in women. There was an increase in hypertension awareness in both sexes over the entire study period with consistently higher rates in women. The proportion of individuals treated with antihypertensive drugs increased significantly in both sexes throughout the study, again with consistently higher rates in women. Control of hypertension increased significantly over the study period with consistently higher rates in women. The age-adjusted trends in blood pressure, prevalence, awareness, and treatment of hypertension were significantly different in men and women, always in favor of women. The age-adjusted trends in control of hypertension in treated patients were equally poor in both sexes. CONCLUSION There are significant differences in longitudinal trends in blood pressure, prevalence, awareness, treatment, and control of hypertension between men and women, always in favor of women except for the control of hypertension in treated patients, where it is equally poor in both sexes.
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Affiliation(s)
- Renata Cífková
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
- Department of Medicine II, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Jan Bruthans
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
| | - Larysa Strilchuk
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
- Department of Therapy No. 1, Medical Diagnostics, Hematology and Transfusiology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Peter Wohlfahrt
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
| | - Alena Krajčoviechová
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
| | - Pavel Šulc
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
| | - Marie Jozífová
- Center for Cardiovascular Prevention, First Faculty of Medicine and Thomayer University Hospital, Charles University in Prague, Prague, Czechia
| | - Lenka Eremiášová
- Department of Medicine II, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Jan Pudil
- Department of Medicine II, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Aleš Linhart
- Department of Medicine II, First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Jiří Widimský
- Department of Medicine III, First Faculty of Medicine, Charles University, Prague, Czechia
| | - Jan Filipovský
- Department of Medicine II, Faculty of Medicine, Charles University, Pilsen, Czechia
| | - Otto Mayer
- Department of Medicine II, Faculty of Medicine, Charles University, Pilsen, Czechia
| | - Zdenka Škodová
- Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - Věra Lánská
- Medical Statistics Unit, Institute for Clinical and Experimental Medicine, Prague, Czechia
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106
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Raguindin PF, Cardona I, Muka T, Lambrinoudaki I, Gebhard C, Franco OH, Marques‐Vidal P, Glisic M. Does reproductive stage impact cardiovascular disease risk factors? Results from a population-based cohort in Lausanne (CoLaus study). Clin Endocrinol (Oxf) 2022; 97:568-580. [PMID: 35377481 PMCID: PMC9790265 DOI: 10.1111/cen.14730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/25/2022] [Accepted: 03/26/2022] [Indexed: 12/30/2022]
Abstract
CONTEXT Menopause has been associated with adverse cardiovascular disease (CVD) risk profile, yet it is unclear whether the changes in CVD risk factors differ by reproductive stage independently of underlying ageing trajectories. DESIGN The CoLaus study is a prospective population-based cohort study in Lausanne, Switzerland. PATIENTS We used data from women at baseline and follow-up (mean: 5.6 ± 0.5 years) from 2003 to 2012 who did not use hormone therapy. We classified women into (i) premenopausal, (ii) menopausal transition, (iii) early (≤5 years) and (iv) late (>5 years) postmenopausal by comparing their menstruation status at baseline and follow-up. MEASUREMENTS We measured fasting lipids, glucose and cardiovascular inflammatory markers. We used repeated measures (linear mixed models) for longitudinal analysis, using premenopausal women as a reference category. We adjusted analyses for age, medications and lifestyle factors. RESULTS We used the data from 1710 women aged 35-75 years. Longitudinal analysis showed that the changes in CVD risk factors were not different in the other three menopausal categories compared to premenopausal women. When age was used as a predictor variable and adjusted for menopause status, most CVD risk factors increased, while interleukin-6 and interleukin-1β decreased with advancing age. CONCLUSION The current study suggests that women have a worsening cardiovascular risk profile as they age, and although menopausal women may have higher levels of cardiovascular risk factors compared to premenopausal women at any given time, the 5-year changes in cardiovascular risk factors may not depend on the reproductive stage.
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Affiliation(s)
- Peter Francis Raguindin
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
- Swiss Paraplegic ResearchNottwilSwitzerland
- Graduate School for Health SciencesUniversity of BernBernSwitzerland
| | - Isabel Cardona
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Taulant Muka
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Irene Lambrinoudaki
- 2nd Department of Obstetrics and Gynecology, Medical School, Aretaieio HospitalNational and Kapodistrian University of AthensAthensGreece
| | - Catherine Gebhard
- Department of Nuclear MedicineUniversity Hospital ZurichZurichSwitzerland
| | - Oscar H. Franco
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
| | - Pedro Marques‐Vidal
- Department of Nuclear Medicine, Lausanne University Hospital (CHUV)University of LausanneLausanneSwitzerland
| | - Marija Glisic
- Institute of Social and Preventive Medicine (ISPM)University of BernBernSwitzerland
- Swiss Paraplegic ResearchNottwilSwitzerland
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107
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Hodel F, Naret O, Bonnet C, Brenner N, Bender N, Waterboer T, Marques-Vidal P, Vollenweider P, Fellay J. The combined impact of persistent infections and human genetic variation on C-reactive protein levels. BMC Med 2022; 20:416. [PMID: 36320076 PMCID: PMC9623937 DOI: 10.1186/s12916-022-02607-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 10/13/2022] [Indexed: 01/24/2023] Open
Abstract
Multiple human pathogens establish chronic, sometimes life-long infections. Even if they are often latent, these infections can trigger some degree of local or systemic immune response, resulting in chronic low-grade inflammation. There remains an incomplete understanding of the potential contribution of both persistent infections and human genetic variation on chronic low-grade inflammation. We searched for potential associations between seropositivity for 13 persistent pathogens and the plasma levels of the inflammatory biomarker C-reactive protein (CRP), using data collected in the context of the UK Biobank and the CoLaus|PsyCoLaus Study, two large population-based cohorts. We performed backward stepwise regression starting with the following potential predictors: serostatus for each pathogen, polygenic risk score for CRP, and demographic and clinical factors known to be associated with CRP. We found evidence for an association between Chlamydia trachomatis (P-value = 5.04e - 3) and Helicobacter pylori (P-value = 8.63e - 4) seropositivity and higher plasma levels of CRP. We also found an association between pathogen burden and CRP levels (P-value = 4.12e - 4). These results improve our understanding of the relationship between persistent infections and chronic inflammation, an important determinant of long-term morbidity in humans.
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Affiliation(s)
- Flavia Hodel
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Olivier Naret
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Clara Bonnet
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nicole Brenner
- Division of Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Noemi Bender
- Division of Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Tim Waterboer
- Division of Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jacques Fellay
- Global Health Institute, School of Life Sciences, EPFL, Lausanne, Switzerland. .,Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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108
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Guseva Canu I, Hemmendinger M, Toto A, Wild P, Veys-Takeuchi C, Bochud M, Suárez G. Oxidative Potential in Exhaled Air (OPEA) as a Tool for Predicting Certain Respiratory Disorders in the General Adult Population: Cross-Sectional Analysis Nested in the Swiss Health Study. Antioxidants (Basel) 2022; 11:2079. [PMID: 36290803 PMCID: PMC9598404 DOI: 10.3390/antiox11102079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/09/2022] [Accepted: 10/19/2022] [Indexed: 11/16/2022] Open
Abstract
In a pilot clinical study, OPEA allowed for distinguishing participants with and without chronic obstructive pulmonary disease. This study aimed to assess whether abnormal spirometry parameters and immunity against SARS-CoV-2 are associated with increased OPEA and estimating the OPEA reference interval. Swiss adult residents of the Vaud Canton aged 20-69 years randomly selected from the Federal Statistical Office's registries, speaking French or German, were included and examined between 1 October 2020 and 31 December 2021. General health status and presence of respiratory diseases were assessed by questionnaire and spirometry. Spirometric results were compared with the predicted values and their lower limits of norms of the Global Lung Function Initiative. SARS-CoV-2-seroprevalence was assessed using the Luminex-based test of IgG. Statistical analysis consisted of unilateral t-tests and ANOVA. Lower and upper limit of OPEA reference interval with associated 90%-confidence interval (90%CI) were estimated for the sub-sample of healthy adults by bootstrap, after excluding outliers. The study sample included 247 participants. SARS-CoV-2-seropositive participants and those with an obstructive syndrome had a significantly higher OPEA than seronegative and healthy participants. The estimated reference interval was: -0.0516 (90%CI = -0.0735; -0.0316); -0.0044 (90%CI = -0.0224; 0.0153). OPEA could predict inflammatory-based respiratory disorders, but needs further validation in different settings and for other pathologies.
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Affiliation(s)
- Irina Guseva Canu
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges, Switzerland
| | - Maud Hemmendinger
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges, Switzerland
| | - Antonio Toto
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges, Switzerland
| | - Pascal Wild
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges, Switzerland
| | - Caroline Veys-Takeuchi
- Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1015 Lausanne, Switzerland
| | - Murielle Bochud
- Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1015 Lausanne, Switzerland
| | - Guillaume Suárez
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges, Switzerland
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109
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Jaques DA, Vollenweider P, Bochud M, Ponte B. Aging and hypertension in kidney function decline: A 10 year population-based study. Front Cardiovasc Med 2022; 9:1035313. [PMID: 36277793 PMCID: PMC9582457 DOI: 10.3389/fcvm.2022.1035313] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Aging is associated with a physiological decline in kidney function (KFD). In this study, we aimed to describe the impact of age on the rate of KFD and its interplay with risk factors for chronic kidney disease (CKD), considering mainly hypertension (HT), in the general population. Materials and methods Participants of European descent, aged 35-75, were recruited from a populational cohort in Lausanne, Switzerland. Participants with a 10 year follow-up were selected. KFD was defined as the difference in estimated glomerular filtration rate (eGFR) between baseline and follow-up, divided by the observation period. Multivariate linear regressions were used with KFD as the outcome and age as the main predictor. HT was tested as a modifying factor. Results We included 4,163 participants with mean age 52.2 ± 10.4, 44.7% men, 31.9% HT, and 5.0% diabetics. Mean baseline eGFR was 85.9 ± 14.6 ml/min/1.73 m2. Mean KFD was -0.49 ± 1.08 ml/min/1.73 m2 per year with 70% of participants decreasing their eGFR during follow-up. The relationship between age and KFD was non-linear and age was divided in tertiles. Old participants had faster rates of KFD as compared to young and middle-age participants (p < 0.001). A significant interaction was found between age and HT on KFD prediction (p < 0.001). In HT participants, KFD was significantly different across tertiles of age (p < 0.001). On contrary, KFD was not different across tertiles of age in non-HT participants. Conclusion A physiological KFD is present over time in the general population. Age contributes non-linearly to the rate of this decline with older subjects declining the fastest. The presence of HT is a major contributing factor in this setting as KFD worsened with age only in hypertensive participants. Thus, HT represents an important pathological factor aggravating the age-related physiological decline in eGFR in the general population.
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Affiliation(s)
- David A. Jaques
- Division of Nephrology, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland,*Correspondence: David A. Jaques,
| | - Peter Vollenweider
- Department of Internal Medicine, University Hospital of Lausanne, Lausanne, Switzerland
| | - Murielle Bochud
- Department of Epidemiology and Health Systems, University Center of General Medicine and Public Health, Lausanne, Switzerland
| | - Belen Ponte
- Division of Nephrology, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland,Department of Epidemiology and Health Systems, University Center of General Medicine and Public Health, Lausanne, Switzerland,Belen Ponte,
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110
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Richard A, Rohrmann S, Pestoni G, Strippoli MPF, Lasserre A, Marques-Vidal P, Preisig M, Vandeleur CL. Associations between anxiety disorders and diet quality in a Swiss cohort study. Compr Psychiatry 2022; 118:152344. [PMID: 35985108 DOI: 10.1016/j.comppsych.2022.152344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/25/2022] [Accepted: 08/06/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES Anxiety disorders are common in the general population and can have a major impact on a person's behavior. These disorders may also affect shopping and cooking habits, which may lead to a less healthy diet. Thus, we aimed to assess whether any current anxiety disorder or current specific anxiety disorders were associated with diet quality. METHODS Data of 6392 observations of 3993 participants were retrieved from 2 data waves of a population-based prospective cohort study conducted in an urban area in Switzerland. To assess the associations of anxiety status with diet quality measured by the Alternate Healthy Eating Index (AHEI), we performed cross-sectional multilevel random-effects linear regression analyses, which accounted for potential repeated participation and a series of potential confounders. RESULTS We observed an association between the presence of any current anxiety disorder and lower diet quality. For the most conclusive model, the AHEI was 1.2 points lower among those with current anxiety disorders compared to those participants with no anxiety disorder (p = 0.016). When specific anxiety disorders were included separately into the model, panic disorder was associated with lower diet quality in the fully adjusted model (p = 0.037). CONCLUSIONS Our findings of reduced diet quality in people with any current anxiety disorder suggest that practical support is needed when it comes to buying and processing food. This might be systematically addressed in psychotherapy and external interdisciplinary support (e.g. occupational therapy and dietary counselling) should be involved. However, further data is needed to strengthen the findings of the present study.
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Affiliation(s)
- Aline Richard
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
| | - Giulia Pestoni
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland; Nutrition Group, Health Department, Swiss Distance University of Applied Sciences, Zurich, Switzerland
| | - Marie-Pierre F Strippoli
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Aurélie Lasserre
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Caroline L Vandeleur
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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111
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Jannasch F, Dietrich S, Bishop TRP, Pearce M, Fanidi A, O'Donoghue G, O'Gorman D, Marques-Vidal P, Vollenweider P, Bes-Rastrollo M, Byberg L, Wolk A, Hashemian M, Malekzadeh R, Poustchi H, Luft VC, de Matos SMA, Kim J, Kim MK, Kim Y, Stern D, Lajous M, Magliano DJ, Shaw JE, Akbaraly T, Kivimaki M, Maskarinec G, Le Marchand L, Martínez-González MÁ, Soedamah-Muthu SS, Wareham NJ, Forouhi NG, Schulze MB. Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies. Eur J Nutr 2022; 61:3649-3667. [PMID: 35641800 PMCID: PMC9464116 DOI: 10.1007/s00394-022-02909-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 05/09/2022] [Indexed: 02/02/2023]
Abstract
PURPOSE In several studies, exploratory dietary patterns (DP), derived by principal component analysis, were inversely or positively associated with incident type 2 diabetes (T2D). However, findings remained study-specific, inconsistent and rarely replicated. This study aimed to investigate the associations between DPs and T2D in multiple cohorts across the world. METHODS This federated meta-analysis of individual participant data was based on 25 prospective cohort studies from 5 continents including a total of 390,664 participants with a follow-up for T2D (3.8-25.0 years). After data harmonization across cohorts we evaluated 15 previously identified T2D-related DPs for association with incident T2D estimating pooled incidence rate ratios (IRR) and confidence intervals (CI) by Piecewise Poisson regression and random-effects meta-analysis. RESULTS 29,386 participants developed T2D during follow-up. Five DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, were associated with higher incidence of T2D. The strongest association was observed for a DP comprising these food groups besides others (IRRpooled per 1 SD = 1.104, 95% CI 1.059-1.151). Although heterogeneity was present (I2 = 85%), IRR exceeded 1 in 18 of the 20 meta-analyzed studies. Original DPs associated with lower T2D risk were not confirmed. Instead, a healthy DP (HDP1) was associated with higher T2D risk (IRRpooled per 1 SD = 1.057, 95% CI 1.027-1.088). CONCLUSION Our findings from various cohorts revealed positive associations for several DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, adding to the evidence-base that links DPs to higher T2D risk. However, no inverse DP-T2D associations were confirmed.
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Affiliation(s)
- Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. .,NutriAct Competence Cluster Nutrition Research Potsdam-Berlin, Nuthetal, Germany. .,German Center for Diabetes Research, Munich-Neuherberg, Germany.
| | - Stefan Dietrich
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,Department of Food Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany
| | - Tom R P Bishop
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Matthew Pearce
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Anouar Fanidi
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Donal O'Gorman
- School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.,CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Liisa Byberg
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Alicja Wolk
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden.,Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maryam Hashemian
- Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.,Biology Department, School of Arts and Sciences, Utica College, Utica, NY, USA
| | - Reza Malekzadeh
- Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Vivian C Luft
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | | | - Jihye Kim
- Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea
| | - Mi Kyung Kim
- Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul, South Korea
| | - Yeonjung Kim
- Division of Health and Nutrition Survey and Analysis, Korea Disease Control Prevention Agency, Seoul, South Korea
| | - Dalia Stern
- CONACyT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Martin Lajous
- CONACyT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Tasnime Akbaraly
- Inserm U 1018, Université Paris-Saclay, UVSQ, Villejuif, Maison des Sciences de l'Homme - SUD, Montpellier, France.,Department of Epidemiology and Public Health, University College London, London, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | | | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.,CIBERobn, Instituto de Salud Carlos III, Madrid, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA
| | - Sabita S Soedamah-Muthu
- Center of Research On Psychological and Somatic Disorders (CORPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, The Netherlands.,Institute for Food, Nutrition and Health, University of Reading, Reading, RG6 6AR, UK
| | | | - Nicholas J Wareham
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, School of Clinical Medicine, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,NutriAct Competence Cluster Nutrition Research Potsdam-Berlin, Nuthetal, Germany.,German Center for Diabetes Research, Munich-Neuherberg, Germany
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112
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Piovezan RD, Yu S, Hirotsu C, Marques-Vidal P, Haba-Rubio J, Tucker G, Adams R, Visvanathan R, Heinzer R. Associations of indicators of sleep impairment and disorders with low muscle strength in middle-aged and older adults: The HypnoLaus cohort study. Maturitas 2022; 164:52-59. [DOI: 10.1016/j.maturitas.2022.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 05/07/2022] [Accepted: 06/15/2022] [Indexed: 11/16/2022]
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113
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Vitamin D and Weight Change: A Mendelian Randomization, Prospective Study. Int J Mol Sci 2022; 23:ijms231911100. [PMID: 36232402 PMCID: PMC9569579 DOI: 10.3390/ijms231911100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/15/2022] [Accepted: 09/17/2022] [Indexed: 12/02/2022] Open
Abstract
The association between 25-hydroxyvitamin D and 5-, 10-, or 15-year weight change were assessed in a population-based, prospective study conducted in Lausanne, Switzerland. Data from the first (2009−2012, N = 3527, 51.3% women), second (2014−2017, N = 3237, 53.8% women), and third (2018−2021, N = 2567, 54.2% women) follow-ups were used. A weighted genetic risk score (GRS) of 115 SNPs associated with vitamin D levels was constructed. At baseline, the GRS correlated positively with 25-hydroxyvitamin D levels based on a Spearman rank correlation and 95% confidence interval: 0.198 (0.166; 0.231), p < 0.001; and with body mass index: 0.036 (0.004; 0.068), p = 0.028. No association was found between quartiles of GRS and weight changes at 5, 10, or 15 years: multivariate-adjusted weight changes ± SEM at 5-years follow-up were 1.39 ± 0.17, 1.13 ± 0.17, 1.24 ± 0.17, and 1.00 ± 0.17 kg for the first to the fourth quartile of the GRS, respectively (p = 0.401). Two-step linear regression showed a significant but clinically meaningless association between GRS-derived vitamin D and weight change at 5- and 15-years: slope and 95% confidence interval for a 5 nmol/L increase in GRS-derived 25-hydroxyvitamin D levels: 0.082 (0.013; 0.150) and 0.130 (0.018; 0.243) kg, respectively. We conclude that there is little association between genetically determined 25-hydroxyvitamin D levels and weight gain.
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114
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Patriota P, Rezzi S, Guessous I, Marques-Vidal P. Association between anthropometric markers of adiposity, adipokines and vitamin D levels. Sci Rep 2022; 12:15435. [PMID: 36104384 PMCID: PMC9474508 DOI: 10.1038/s41598-022-19409-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 08/29/2022] [Indexed: 11/12/2022] Open
Abstract
Inverse association between serum levels of vitamin D and obesity has been pointed out in several studies. Our aim was to identify to the associations between vitamin D levels and a large panel of anthropometric markers and adipokines. Cross-sectional study including 6485 participants. Anthropometric markers included body mass index (BMI), % body fat, waist, waist-to-hip (WHR), waist-to-height (WHtR), conicity index, body roundness index (BRI) and a body shape index (ABSI). 55.7% of women and 60.1% of men presented with vitamin D deficiency. Vitamin D levels were negatively associated with most anthropometric markers, with correlation coefficients ranging between -0.017 (ABSI) and -0.192 (BMI) in women and between -0.026 (weight) and -0.130 (% body fat) in men. Vitamin D levels were inversely associated with leptin levels in both sexes and positively associated with adiponectin levels in women only. The likelihood of vitamin D deficiency increased with increasing adiposity levels, except for ABSI (women) and BMI (men). Total body fat, rather than localized or unevenly distributed body fat, is the adiposity marker most associated with decreased vitamin D levels. Monitoring vitamin D levels in people with overweight/obesity is essential.
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Affiliation(s)
| | - Serge Rezzi
- Swiss Nutrition and Health Foundation, 1066, Epalinges, Switzerland
| | - Idris Guessous
- Division of Primary Care Medicine, Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, University of Lausanne, Office BH10-642, 46 Rue du Bugnon 46, 1011, Lausanne, Switzerland.
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115
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Grosu C, Trofimova O, Gholam-Rezaee M, Strippoli MPF, Kherif F, Lutti A, Preisig M, Draganski B, Eap CB. CYP2C19 expression modulates affective functioning and hippocampal subiculum volume-a large single-center community-dwelling cohort study. Transl Psychiatry 2022; 12:316. [PMID: 35931695 PMCID: PMC9356029 DOI: 10.1038/s41398-022-02091-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 11/09/2022] Open
Abstract
Given controversial findings of reduced depressive symptom severity and increased hippocampus volume in CYP2C19 poor metabolizers, we sought to provide empirical evidence from a large-scale single-center longitudinal cohort in the community-dwelling adult population-Colaus|PsyCoLaus in Lausanne, Switzerland (n = 4152). We looked for CYP2C19 genotype-related behavioral and brain anatomy patterns using a comprehensive set of psychometry, water diffusion- and relaxometry-based magnetic resonance imaging (MRI) data (BrainLaus, n = 1187). Our statistical models tested for differential associations between poor metabolizer and other metabolizer status with imaging-derived indices of brain volume and tissue properties that explain individuals' current and lifetime mood characteristics. The observed association between CYP2C19 genotype and lifetime affective status showing higher functioning scores in poor metabolizers, was mainly driven by female participants (ß = 3.9, p = 0.010). There was no difference in total hippocampus volume between poor metabolizer and other metabolizer, though there was higher subiculum volume in the right hippocampus of poor metabolizers (ß = 0.03, pFDRcorrected = 0.036). Our study supports the notion of association between mood phenotype and CYP2C19 genotype, however, finds no evidence for concomitant hippocampus volume differences, with the exception of the right subiculum.
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Affiliation(s)
- Claire Grosu
- grid.9851.50000 0001 2165 4204Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Olga Trofimova
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Mehdi Gholam-Rezaee
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Marie-Pierre F. Strippoli
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Ferath Kherif
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Antoine Lutti
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Bogdan Draganski
- Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland. .,Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Chin B. Eap
- grid.9851.50000 0001 2165 4204Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland ,grid.8591.50000 0001 2322 4988School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland ,grid.9851.50000 0001 2165 4204Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland ,grid.9851.50000 0001 2165 4204Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Lausanne, Switzerland
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116
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No Association between Vitamin D and Weight Gain: A Prospective, Population-Based Study. Nutrients 2022; 14:nu14153185. [PMID: 35956360 PMCID: PMC9370694 DOI: 10.3390/nu14153185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 07/21/2022] [Accepted: 07/29/2022] [Indexed: 01/27/2023] Open
Abstract
Background: The association between vitamin D and weight gain remains controversial due to important limitations in the studies. We investigated the relationship between vitamin D levels and 5 and 10 years of weight and waist circumference change in a population-based prospective cohort study. Methods: Prospective study including participants aged between 35 and 75 years living in the city of Lausanne, Switzerland. Weight and waist change at 5- and 10-year follow-up were assessed according to baseline vitamin D status (normal, insufficiency and deficiency). Results: A total of 3638 participants (47.9 % women, mean age 51.6 ± 10.4 years) were included for the 5-year follow-up. No association was found between vitamin D categories and weight change, multivariate-adjusted average ± standard error: 1.6 ± 0.3, 1.5 ± 0.2 and 1.2 ± 0.1 kg for normal, insufficiency and deficiency, respectively, p = 0.159. For waist change, the corresponding values were 3.3 ± 0.4, 3.3 ± 0.2 and 3.4 ± 0.2 cm, p = 0.792. For the 10-year follow-up, data from 2999 participants (45.8% women, mean age 50.8 ± 10.3 years) were used. No association was found for weight 2.3 ± 0.4, 2.3 ± 0.2 and 2.0 ± 0.2 kg, p = 0.588, or for waist 3.7 ± 0.4, 3.6 ± 0.3 and 4.2 ± 0.2 cm for normal, insufficiency and deficiency, respectively, p = 0.259. Conclusion: No association between vitamin D status and weight or waist gain at 5- and 10-year follow-up was found.
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117
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Devuyst O, Bochud M, Olinger E. UMOD and the architecture of kidney disease. Pflugers Arch 2022; 474:771-781. [PMID: 35881244 PMCID: PMC9338900 DOI: 10.1007/s00424-022-02733-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 12/17/2022]
Abstract
The identification of genetic factors associated with the risk, onset, and progression of kidney disease has the potential to provide mechanistic insights and therapeutic perspectives. In less than two decades, technological advances yielded a trove of information on the genetic architecture of chronic kidney disease. The spectrum of genetic influence ranges from (ultra)rare variants with large effect size, involved in Mendelian diseases, to common variants, often non-coding and with small effect size, which contribute to polygenic diseases. Here, we review the paradigm of UMOD, the gene coding for uromodulin, to illustrate how a kidney-specific protein of major physiological importance is involved in a spectrum of kidney disorders. This new field of investigation illustrates the importance of genetic variation in the pathogenesis and prognosis of disease, with therapeutic implications.
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Affiliation(s)
- Olivier Devuyst
- Institute of Physiology, University of Zurich, 8057, Zurich, Switzerland.
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1010, Lausanne, Switzerland
| | - Eric Olinger
- Institute of Physiology, University of Zurich, 8057, Zurich, Switzerland
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK
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118
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Aebischer O, Suter MR, Vollenweider P, Marques-Vidal P. Association between chronic pain and physical activity in a Swiss population-based cohort: a cross-sectional study. BMJ Open 2022; 12:e057288. [PMID: 35906050 PMCID: PMC9345067 DOI: 10.1136/bmjopen-2021-057288] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess the bidirectional association between chronic pain and both subjectively and objectively measured physical activity (PA). DESIGN Cross-sectional study. SETTING Population-based sample in Lausanne, Switzerland, May 2014 to April 2017. PARTICIPANTS Non-stratified, representative sample of the population of Lausanne (Switzerland) aged 35-75 years. Participants were excluded if they had missing data for the pain or the PA questionnaires, for accelerometry (defined as >20% of non-wear time or duration <7 days) or for covariates. PRIMARY OUTCOMES Primary outcomes were association between chronic pain and previous, subjectively assessed PA (questionnaire), and subsequent, objectively assessed PA (accelerometry). Daily pain, pain duration, number of painful sites and pain intensity were assessed by questionnaire. PA was assessed by questionnaire 2 weeks prior and by accelerometry 2 weeks after completion of the pain questionnaire. PA was further categorised as sedentary (SED), light and moderate-to-vigorous PA. RESULTS 2598 participants (52.9% women, mean age 60.5 years) had subjectively assessed PA. Multivariable analysis showed time spent in SED to be negatively associated with the number of painful sites: adjusted mean±SE 528±5, 522±7 and 502±7 min/day for 0, 1-2 and 3+ painful sites, respectively, p for trend <0.005. No other association was found between chronic pain and subjectively assessed PA categories. 2205 participants (52.8% women, mean age 61.7 years) had accelerometry-derived PA. No significant association between chronic pain and subsequent objectively assessed PA was found after multivariable analyses. CONCLUSION In this Swiss population-based cohort, no consistent association was found between chronic pain and PA. Hence, in the general population, chronic pain does not significantly impact time spent in PA.
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Affiliation(s)
- Oriane Aebischer
- Department of Internal Medicine, Ensemble Hospitalier de la Côte, Morges, Switzerland
| | - Marc René Suter
- Department of Anaesthesiology, CHUV and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Internal Medicine, CHUV and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Internal Medicine, CHUV and University of Lausanne, Lausanne, Switzerland
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119
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Schyrr F, Marques‐Vidal P, Hans D, Lamy O, Naveiras O. Differential blood counts do not consistently predict clinical measurements of bone mineral density and microarchitecture at homeostasis. JBMR Plus 2022; 6:e10669. [PMID: 36111204 PMCID: PMC9464992 DOI: 10.1002/jbm4.10669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/09/2022] [Accepted: 07/22/2022] [Indexed: 11/29/2022] Open
Abstract
The hematopoietic stem cell niche constitutes a complex bone marrow (BM) microenvironment. Osteoporosis is characterized by both reduced bone mineral density (BMD) and microarchitectural deterioration, constituting the most frequent alteration of the BM microenvironment. It is unclear to which extent modifications of the BM microenvironment, including in the context of osteoporosis, influence blood cell production. We aimed to describe the association between lumbar spine and total hip BMD and microarchitecture (assessed by trabecular bone score [TBS]) and differential blood counts. Data were collected at two time points from 803 (first assessment) and 901 (second assessment) postmenopausal women participating in the CoLaus/OsteoLaus cohort, a population‐based sample in Lausanne, Switzerland. Participants with other active disease or treatment that could influence hematopoiesis or osteoporosis were excluded. Bivariate and multivariate associations between each peripheral blood cell count and BMD or TBS were performed. Additionally, participants in the highest BMD and TBS tertiles were compared with participants in the lowest BMD and TBS tertiles. At first assessment, only neutrophils were significantly different in the lowest BMD and TBS tertile (3.18 ± 0.09 versus 3.47 ± 0.08 G/L, p = 0.028). At the second assessment, leucocytes (5.90 ± 0.11 versus 5.56 ± 0.10 G/L, p = 0.033), lymphocytes (1.87 ± 0.04 versus 1.72 ± 0.04 G/L p = 0.033), and monocytes (0.49 ± 0.01 versus 0.46 ± 0.1 G/L, p = 0.033) were significantly different. Power analysis did not identify quasi‐significant associations missed due to sample size. Although significant associations between blood counts and BMD or TBS were found, none was consistent across bone measurements or assessments. This study suggests that, at homeostasis and in postmenopausal women, there is no clinically significant association between the osteoporotic microenvironment and blood production output as measured by differential blood counts. In the context of conflicting reports on the relationship between osteoporosis and hematopoiesis, our study represents the first prospective two time‐point analysis of a large, homogenous cohort at steady state. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Frederica Schyrr
- Laboratory of Regenerative HematopoiesisSwiss Institute for Experimental Cancer Research (ISREC) & Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
- Department of Biomedical SciencesUniversity of LausanneLausanneSwitzerland
| | | | - Didier Hans
- Centre of Bone Diseases, Bone and Joint DepartmentLausanne University HospitalLausanneSwitzerland
| | - Olivier Lamy
- Centre of Bone Diseases, Bone and Joint DepartmentLausanne University HospitalLausanneSwitzerland
| | - Olaia Naveiras
- Laboratory of Regenerative HematopoiesisSwiss Institute for Experimental Cancer Research (ISREC) & Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
- Department of Biomedical SciencesUniversity of LausanneLausanneSwitzerland
- Hematology Service, Department of OncologyLausanne University Hospital (CHUV) and University of Lausanne (UNIL)LausanneSwitzerland
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Schrempft S, Trofimova O, Künzi M, Draganski B, Kliegel M, Stringhini S. Life-course socioeconomic conditions and cognitive performance in older adults: a cross-cohort comparison. Aging Ment Health 2022; 27:745-754. [PMID: 35848170 DOI: 10.1080/13607863.2022.2084511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVES Socioeconomic disadvantage predicts the level of cognitive performance in old age, but findings have been mixed for trajectories of performance. This study examined associations between life-course socioeconomic conditions, including social mobility, and cognitive performance assessed in terms of level and change, across multiple cognitive domains in two independent cohorts of older adults. METHODS Data were from two Swiss population-based cohorts: CoLaus|PsyCoLaus (N = 1210, mean age 72 years) and Vivre/Leben/Vivere (N = 993, mean age 75 years). Verbal fluency, processing speed, cognitive flexibility, memory, and global cognitive performance were assessed at two time points, each spaced 6 years apart. Associations between socioeconomic conditions (father's occupation, parental education, own education, own occupation, household income, and social mobility) and cognitive performance were examined within each cohort, and using pooled data. Covariates included health behaviors, comorbidities, and depressive symptoms. RESULTS Across cohorts, socioeconomic disadvantage predicted a lower level of performance across different cognitive domains, including processing speed, verbal fluency, and memory. Moreover, individuals who experienced life-course socioeconomic disadvantage performed worse than those who experienced upward social mobility. Associations between socioeconomic disadvantage and cognitive decline were less consistent. CONCLUSION Life-course socioeconomic conditions predict performance level across different cognitive domains, and, to a lesser extent, performance trajectories.
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Affiliation(s)
- Stephanie Schrempft
- Division of Primary Care, Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Olga Trofimova
- Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Morgane Künzi
- Swiss National Centre of Competence in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Geneva, Switzerland.,Department of Psychology, University of Geneva, Geneva, Switzerland.,Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias Kliegel
- Swiss National Centre of Competence in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Geneva, Switzerland.,Department of Psychology, University of Geneva, Geneva, Switzerland.,Centre for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Silvia Stringhini
- Division of Primary Care, Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.,Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
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121
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Naret O, Kutalik Z, Hodel F, Xu ZM, Marques-Vidal P, Fellay J. Improving polygenic prediction with genetically inferred ancestry. HGG ADVANCES 2022; 3:100109. [PMID: 35571679 PMCID: PMC9095896 DOI: 10.1016/j.xhgg.2022.100109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/11/2022] [Indexed: 11/21/2022] Open
Abstract
Genome-wide association studies (GWASs) have demonstrated that most common diseases have a strong genetic component from many genetic variants each with a small effect size. GWAS summary statistics have allowed the construction of polygenic scores (PGSs) estimating part of the individual risk for common diseases. Here, we propose to improve PGS-based risk estimation by incorporating genetic ancestry derived from genome-wide genotyping data. Our method involves three cohorts: a base (or discovery) for association studies, a target for phenotype/risk prediction, and a map for ancestry mapping; successively, (1) it generates for each individual in the base and target cohorts a set of principal components based on the map cohort-called mapped PCs, (2) it associates in the base cohort the phenotype with the mapped-PCs, and (3) it uses the mapped PCs in the target cohort to generate a phenotypic predictor called the ancestry score. We evaluated the ancestry score by comparing a predictive model using a PGS with one combining a PGS and an ancestry score. First, we performed simulations and found that the ancestry score has a greater impact on traits that correlate with ancestry-specific variants. Second, we showed, using UK Biobank data, that the ancestry score improves genetic prediction for our nine phenotypes to very different degrees. Third, we performed simulations and found that the more heterogeneous the base and target cohorts, the more beneficial the ancestry score is. Finally, we validated our approach under realistic conditions with UK Biobank as the base cohort and Swiss individuals from the CoLaus|PsyCoLaus study as the target cohort.
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Affiliation(s)
- Olivier Naret
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zoltan Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- University Center for Primary Care and Public Health, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Flavia Hodel
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zhi Ming Xu
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Berger M, Vakulin A, Hirotsu C, Marchi NA, Solelhac G, Bayon V, Siclari F, Haba‐Rubio J, Vaucher J, Vollenweider P, Marques‐Vidal P, Lechat B, Catcheside PG, Eckert DJ, Adams RJ, Appleton S, Heinzer R. Association Between Sleep Microstructure and Incident Hypertension in a Population‐Based Sample: The HypnoLaus Study. J Am Heart Assoc 2022; 11:e025828. [PMID: 35861817 PMCID: PMC9707830 DOI: 10.1161/jaha.121.025828] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Poor sleep quality is associated with increased incident hypertension. However, few studies have investigated the impact of objective sleep structure parameters on hypertension. This study investigated the association between sleep macrostructural and microstructural parameters and incident hypertension in a middle‐ to older‐aged sample.
Methods and Results
Participants from the HypnoLaus population‐based cohort without hypertension at baseline were included. Participants had at‐home polysomnography at baseline, allowing assessment of sleep macrostructure (nonrapid eye movement sleep stages 1, 2, and 3; rapid eye movement sleep stages; and total sleep time) and microstructure including power spectral density of electroencephalogram in nonrapid eye movement sleep and spindles characteristics (density, duration, frequency, amplitude) in nonrapid eye movement sleep stage 2. Associations between sleep macrostructure and microstructure parameters at baseline and incident clinical hypertension over a mean follow‐up of 5.2 years were assessed with multiple‐adjusted logistic regression. A total of 1172 participants (42% men; age 55±10 years) were included. Of these, 198 (17%) developed hypertension. After adjustment for confounders, no sleep macrostructure features were associated with incident hypertension. However, low absolute delta and sigma power were significantly associated with incident hypertension where participants in the lowest quartile of delta and sigma had a 1.69‐fold (95% CI, 1.00–2.89) and 1.72‐fold (95% CI, 1.05–2.82) increased risk of incident hypertension, respectively, versus those in the highest quartile. Lower spindle density (odds ratio, 0.87; 95% CI, 0.76–0.99) and amplitude (odds ratio, 0.98; 95% CI, 0.95–1.00) were also associated with higher incident hypertension.
Conclusions
Sleep microstructure is associated with incident hypertension. Slow‐wave activity and sleep spindles, 2 hallmarks of objective sleep continuity and quality, were inversely and consistently associated with incident hypertension. This supports the protective role of sleep continuity in the development of hypertension.
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Affiliation(s)
- Mathieu Berger
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Camila Hirotsu
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Nicola Andrea Marchi
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Geoffroy Solelhac
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Virginie Bayon
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Francesca Siclari
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - José Haba‐Rubio
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Julien Vaucher
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Peter Vollenweider
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Pedro Marques‐Vidal
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Bastien Lechat
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Peter G. Catcheside
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Danny J. Eckert
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Robert J. Adams
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Sarah Appleton
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
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Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment. THE PATIENT - PATIENT-CENTERED OUTCOMES RESEARCH 2022; 15:485-496. [PMID: 35067858 PMCID: PMC9197802 DOI: 10.1007/s40271-021-00568-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/12/2021] [Indexed: 11/10/2022]
Abstract
Objective Our objective was to develop and test a discrete choice experiment (DCE) eliciting public and patient preferences for better-coordinated care in Switzerland. Methods We applied a multistage mixed-methods procedure using qualitative and quantitative approaches. First, to identify attributes, we performed a review of the DCE literature in healthcare with a focus on chronic care. Next, attribute selection involved stakeholders (N = 7) from various healthcare sectors to select the most relevant and actionable attributes, followed by three organized focus groups involving the general public and patients (N = 21) to verify the selection and the clarity of the DCE tasks and explanations. Finally, we conducted an online pilot in the target population to test the survey and obtain priors for a final six tested attributes to refine the final design of the experiment. Results After identifying an initial 33 attributes, a final list of six attributes was selected following stakeholder involvement and the three focus groups involving the target population. At the online pilot-testing stage with 301 participants, the majority of respondents found the DCE choice tasks socially relevant for Switzerland but challenging. The quality of the answers was relatively high. Most attributes had signs matching those in the literature and focus group discussions. Conclusion This article will be useful to researchers designing DCEs from a broad health policy perspective. The multistage approach involving a range of stakeholders was essential for the development of a DCE that is relevant for policy makers and well-accepted by the general public and patients. Supplementary Information The online version contains supplementary material available at 10.1007/s40271-021-00568-2.
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Marques-Vidal P, Chekanova V, Vaucher J. Association between genetic risk of high SBP and hypertension control: the CoLaus|PsyColaus study. J Hypertens 2022; 40:1388-1393. [PMID: 35703291 PMCID: PMC10004752 DOI: 10.1097/hjh.0000000000003158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/14/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To assess whether a genetic risk score (GRS) for high SBP is associated with poor control of hypertension. METHODS Data from the four waves of a population-based, prospective study conducted in Lausanne, Switzerland. Control of hypertension was defined based on SBP less than 140 mmHg and DBP less than 90 mmHg. A weighted GRS was computed from 362 SNPs. RESULTS Overall, 1097 (51% men, mean age 61 years), 1126 (53% men, age 65 years), 1020 (52% men, age 69 years) and 809 (50% men, age 71 years) participants treated for hypertension were selected from the baseline (2003-2006), first (2009-2012), second (2014-2017) and third (2018-2021) surveys. Hypertension control rates were 50, 58, 52 and 59% for the baseline, first, second and third surveys, respectively. No association was found between GRS and hypertension control: multivariate-adjusted mean ± standard error for controlled vs. uncontrolled participants: 9.30 ± 0.09 vs. 9.50 ± 0.09 ( P = 0.12); 9.32 ± 0.08 vs. 9.53 ± 0.10 ( P = 0.10); 9.17 ± 0.08 vs. 9.34 ± 0.11 ( P = 0.22), and 9.18 ± 0.09 vs. 9.46 ± 0.11 ( P = 0.07) for the baseline, first, second and third surveys, respectively. Power analysis showed that a minimum of 3410 people treated for hypertension would be necessary to detect an association between the GRS and hypertension control rates. Notably, positive associations between the GRS and SBP levels were found among participants not treated for hypertension, with Spearman correlations ranging between 0.05 and 0.09 (all P < 0.05). CONCLUSION Using a GRS associated with SBP levels is not predictive of hypertension control. The use of GRS for hypertension management is not warranted in clinical practice. http://links.lww.com/HJH/C26.
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Affiliation(s)
- Pedro Marques-Vidal
- Lausanne university hospital and university of Lausanne, Lausanne, Switzerland
| | | | - Julien Vaucher
- Lausanne university hospital and university of Lausanne, Lausanne, Switzerland
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Zapater A, Solelhac G, Sánchez-de-la-Torre A, Gracia-Lavedan E, Benitez ID, Torres G, De Batlle J, Haba-Rubio J, Berger M, Abad J, Duran-Cantolla J, Urrutia A, Mediano O, Masdeu MJ, Ordax-Carbajo E, Masa JF, De la Peña M, Mayos M, Coloma R, Montserrat JM, Chiner E, Mínguez O, Pascual L, Cortijo A, Martínez D, Dalmases M, Lee CH, McEvoy RD, Barbé F, Heinzer R, Sánchez-de-la-Torre M. Respiratory Polygraphy Patterns and Risk of Recurrent Cardiovascular Events in Patients With Acute Coronary Syndrome. Front Med (Lausanne) 2022; 9:870906. [PMID: 35833104 PMCID: PMC9271863 DOI: 10.3389/fmed.2022.870906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Obstructive sleep apnea (OSA) severity is based on the apnea-hypopnea index (AHI). The AHI is a simplistic measure that is inadequate for capturing disease severity and its consequences in cardiovascular diseases (CVDs). Deleterious effects of OSA have been suggested to influence the prognosis of specific endotypes of patients with acute coronary syndrome (ACS). We aim to identify respiratory polygraphy (RP) patterns that contribute to identifying the risk of recurrent cardiovascular events in patients with ACS. Methods Post hoc analysis of the ISAACC study, including 723 patients admitted for a first ACS (NCT01335087) in which RP was performed. To identify specific RP patterns, a principal component analysis (PCA) was performed using six RP parameters: AHI, oxygen desaturation index, mean and minimum oxygen saturation (SaO2), average duration of events and percentage of time with SaO2 < 90%. An independent HypnoLaus population-based cohort was used to validate the RP components. Results From the ISAACC study, PCA showed that two RP components accounted for 70% of the variance in the RP data. These components were validated in the HypnoLaus cohort, with two similar RP components that explained 71.3% of the variance in the RP data. The first component (component 1) was mainly characterized by low mean SaO2 and obstructive respiratory events with severe desaturation, and the second component (component 2) was characterized by high mean SaO2 and long-duration obstructive respiratory events without severe desaturation. In the ISAACC cohort, component 2 was associated with an increased risk of recurrent cardiovascular events in the third tertile with an adjusted hazard ratio (95% CI) of 2.44 (1.07 to 5.56; p-value = 0.03) compared to first tertile. For component 1, no significant association was found for the risk of recurrent cardiovascular events. Conclusion A RP component, mainly characterized by intermittent hypoxemia, is associated with a high risk of recurrent cardiovascular events in patients without previous CVD who have suffered a first ACS.
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Affiliation(s)
- Andrea Zapater
- Precision Medicine in Chronic Diseases, Hospital Universitari Arnau de Vilanova-Santa Maria, IRB Lleida, Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Geoffroy Solelhac
- Center for Investigation and Research in Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alicia Sánchez-de-la-Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Ivan David Benitez
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Gerard Torres
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Jordi De Batlle
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - José Haba-Rubio
- Center for Investigation and Research in Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mathieu Berger
- Center for Investigation and Research in Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jorge Abad
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Respiratory Department, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Joaquín Duran-Cantolla
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Servicio de Investigación OSI, IIS Bioaraba, Hospital Universitario Araba, Vitoria-Gasteiz, Spain
| | - Amaia Urrutia
- Servicio Neumologia, Hospital Universitario Cruces, Bizkaia, Spain
| | - Olga Mediano
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Respiratory Department, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - María José Masdeu
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Respiratory and Sleep Department, Hospital Universitari Parc Taulí, Institut Investigació i Innovació Parc Taulí (I3PT), Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Juan Fernando Masa
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Respiratory Department, Hospital San Pedro Alcántara, Cáceres, Spain
| | - Mónica De la Peña
- Clinic Analysis and Respiratory Services, Institut de Investigació Sanitaria de Palma, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Mercé Mayos
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Sleep Unit, Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ramon Coloma
- Respiratory Department, Hospital General Universitario de Albacete, Albacete, Spain
| | - Josep María Montserrat
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Respiratory Department, Hospital Clinic, Barcelona, Spain
| | - Eusebi Chiner
- Respiratory Department, Hospital Universitari Sant Joan d'Alacant, Alicante, Spain
| | - Olga Mínguez
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Lydia Pascual
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Anunciación Cortijo
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Dolores Martínez
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Mireia Dalmases
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Translation Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain
| | - Chi-Hang Lee
- Cardiovascular Research Institute, National University of Singapore, Singapore, Singapore
| | - R Doug McEvoy
- Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Ferran Barbé
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Center for Investigation and Research in Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Pulmonary Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Manuel Sánchez-de-la-Torre
- Precision Medicine in Chronic Diseases, Hospital Universitari Arnau de Vilanova-Santa Maria, IRB Lleida, Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
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Stanasila L, Marques-Vidal P. Serum Phytosterols Are Not Associated with Inflammatory Markers in Two Cross-Sectional, Swiss Population-Based Studies (The CoLaus|PsyCoLaus Study). Nutrients 2022; 14:nu14122500. [PMID: 35745232 PMCID: PMC9229848 DOI: 10.3390/nu14122500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/13/2022] [Accepted: 06/15/2022] [Indexed: 01/27/2023] Open
Abstract
Background: The association between inflammation and dietary sterols remains poorly assessed at the population level. Aims: To assess the possible association between serum levels of various phytosterols (PS) and inflammatory markers. Methods: Serum levels of six PS (campesterol, campestanol, stigmasterol, sitosterol, sitostanol, brassicasterol), four cholesterol synthesis markers (lathosterol, lanosterol, desmosterol, dihydroxylanosterol) and one cholesterol absorption marker (cholestanol) were measured together with levels of CRP, IL-6 and TNF-α in two cross-sectional surveys of a population-based, prospective study. Results: CRP levels were negatively associated with levels of cholestanol and of sterols of plant origin, although some associations were not statistically significant. CRP levels were positively associated with cholesterol synthesis markers in the first but not in the second follow-up. IL-6 levels were negatively associated with cholestanol in both follow-ups. No associations between IL-6 levels and PS were found in the first follow-up, while significant negative associations with campesterol, sitosterol, brassicasterol, sitostanol and campesterol:TC ratio were found in the second follow-up. TNF-α levels were negatively associated with cholestanol in both follow-ups. These associations did not withstand adjusting for sex, age, BMI and statin administration. Conclusions: In a population-based study, PS serum levels were not significantly associated with inflammatory markers.
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The neighborhood environment and its association with the spatio-temporal footprint of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area. Health Place 2022; 76:102845. [PMID: 35714460 DOI: 10.1016/j.healthplace.2022.102845] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/30/2022] [Accepted: 06/06/2022] [Indexed: 11/23/2022]
Abstract
This study aimed to evaluate the association of the neighborhood environment with the spatio-temporal dependence of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area. Data were obtained from the CoLaus cohort (2003-2006, 2009-2012, and 2014-2017) in Lausanne, Switzerland. Local Moran's I was performed to assess the spatial dependence of tobacco consumption. Prospective changes in tobacco consumption and the location of residence of participants were assessed through Cox regressions. Analyses were adjusted by individual and neighborhood data. The neighborhood environment was spatially associated with tobacco consumption and changes in smoking-related behaviors independently of individual factors.
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128
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Chen Z, Zhang X, Duan Y, Mo T, Liu W, Ma Y, Yin P. The Relationship Between Sleep Duration and Blood Lipids Among Chinese Middle-Aged and Older Adults: Cross-Lagged Path Analysis From CHARLS. Front Public Health 2022; 10:868059. [PMID: 35646780 PMCID: PMC9136093 DOI: 10.3389/fpubh.2022.868059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
This study used data from the China Health and Retirement Longitudinal Study to investigate the temporal relationship between blood lipids and sleep duration in Chinese middle-aged and older adults. We used medical examinations and questionnaire data of 5,016 Chinese middle-aged and older adults (age 45+) in 2011 and 2015. Cross-lagged path analysis was performed to examine the bidirectional relationships between blood lipids and sleep duration. Sleep duration and lipids data were analyzed as continuous variables. Temporal relationships between sleep duration and HDL-cholesterol, LDL-cholesterol, total cholesterol, and triglycerides were different. Sleep duration was negatively associated with HDL-cholesterol 4 year later (β1 = −0.171, P = 0.005), and HDL-cholesterol was negatively associated with sleep duration 4 year later (β2 = −0.006, P = 0.002). Longer sleep duration was associated lower levels of LDL-cholesterol (β1 = −0.275, P = 0.097) and total cholesterol (β1 = −0.329, P = 0.096) 4 year later. There was a positive correlation between triglycerides and sleep duration. The path coefficient from triglycerides to sleep duration 4 year later (β2 = 0.001, P = 0.018) was greater than that from sleep duration to triglycerides 4 year later (β1 = 0.109, P = 0.847), with P = 0.030 for the difference between β1 and β2. In stratified analysis, we found that the strength and direction of the relationships may be related to age and BMI. Effects of sleep duration on blood lipids were only observed among participants aged <60 years, while the effect in the opposite direction was observed in older adults (age 60+), and the cross-lagged path coefficients were more significant in adults with BMI > 25.
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Affiliation(s)
- Ziwei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xia Zhang
- The First People's Hospital of Jingzhou, Jingzhou, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Mo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenli Liu
- Department of Statistics, East China Normal University, Shanghai, China
| | - Yilei Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Yilei Ma
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Ping Yin
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129
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Schuster JP, Strippoli MPF, Hoertel N, Marques-Vidal P, Vandeleur CL, Limosin F, Preisig M, von Gunten A. Healthcare use for major depressive disorders among middle-aged and older adults in the community. Soc Psychiatry Psychiatr Epidemiol 2022; 57:953-961. [PMID: 34842964 DOI: 10.1007/s00127-021-02193-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 10/31/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE There is a substantial gap between people having a mental disorder and those treated for this disorder. Studies that assessed the influence of age on healthcare use for major depressive disorder (MDD) have provided inconsistent results. We aimed to assess healthcare use in terms of treatment-seeking and psychotropic medication use in four age groups of 45- to 85-year-old community dwellers meeting criteria for MDD. METHODS Data stemmed from CoLaus|PsyCoLaus, a population-based prospective cohort study. Diagnostic information on mental disorders, utilization of professional healthcare and psychotropic drugs was elicited using a semi-structured interview. Associations between age groups and healthcare use were established using logistic regression models with serial adjustments for socio-demographic and depression characteristics as well as comorbid mental disorders and cardio-metabolic features. RESULTS Compared to participants of the youngest age group (ages 45 to 54 years), (1) those older than 75 years were less likely to use healthcare from psychiatrists or psychologists (OR: 0.4 [95% CI 0.17-0.96]), although the frequency of using any professional health care did not vary across age groups; (2) those older than 55 years used any psychotropic medication more frequently; and (3) those aged 55-64 years used antidepressants more frequently (OR: 1.61 [95% CI 1.07-2.44]), whereas those aged 65-74 years used anxiolytics more frequently (OR: 2.30 [95% CI 1.15-4.58]). CONCLUSION Age is a complex biological and social factor that influences healthcare use.
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Affiliation(s)
- Jean-Pierre Schuster
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Prilly, Switzerland.
| | - Marie-Pierre F Strippoli
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nicolas Hoertel
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Corentin-Celton, Service de Psychiatrie, Issy-les-Moulineaux, France.,Université Paris Descartes, PRES Sorbonne Paris Cité, Paris, France.,Centre Psychiatrie Et Neurosciences, Inserm Umr 894, Paris, France
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Caroline L Vandeleur
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Frédéric Limosin
- Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Corentin-Celton, Service de Psychiatrie, Issy-les-Moulineaux, France.,Université Paris Descartes, PRES Sorbonne Paris Cité, Paris, France.,Centre Psychiatrie Et Neurosciences, Inserm Umr 894, Paris, France
| | - Martin Preisig
- Centre for Research in Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Prilly, Switzerland
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130
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Loued-Khenissi L, Trofimova O, Vollenweider P, Marques-Vidal P, Preisig M, Lutti A, Kliegel M, Sandi C, Kherif F, Stringhini S, Draganski B. Signatures of life course socioeconomic conditions in brain anatomy. Hum Brain Mapp 2022; 43:2582-2606. [PMID: 35195323 PMCID: PMC9057097 DOI: 10.1002/hbm.25807] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 01/19/2022] [Accepted: 01/31/2022] [Indexed: 11/11/2022] Open
Abstract
Socioeconomic status (SES) plays a significant role in health and disease. At the same time, early-life conditions affect neural function and structure, suggesting the brain may be a conduit for the biological embedding of SES. Here, we investigate the brain anatomy signatures of SES in a large-scale population cohort aged 45-85 years. We assess both gray matter morphometry and tissue properties indicative of myelin content. Higher life course SES is associated with increased volume in several brain regions, including postcentral and temporal gyri, cuneus, and cerebellum. We observe more widespread volume differences and higher myelin content in the sensorimotor network but lower myelin content in the temporal lobe associated with childhood SES. Crucially, childhood SES differences persisted in adult brains even after controlling for adult SES, highlighting the unique contribution of early-life conditions to brain anatomy, independent of later changes in SES. These findings inform on the biological underpinnings of social inequality, particularly as they pertain to early-life conditions.
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Affiliation(s)
- Leyla Loued-Khenissi
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.,Theory of Pain Laboratory, University of Geneva, Geneva
| | - Olga Trofimova
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Peter Vollenweider
- Department of medicine, Internal medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Matthias Kliegel
- Laboratoire du Vieillissement Cognitif, Université de Genève, Geneva, Switzerland
| | - Carmen Sandi
- Laboratory of Behavioral Genetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ferhat Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Silvia Stringhini
- University Centre for General Medicine and Public Health (UNISANTE), Lausanne University, Lausanne, Switzerland.,Unit of Population Epidemiology, Primary Care Division, Geneva University Hospitals, Geneva, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.,Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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131
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Vallarta-Robledo JR, Joost S, Vieira Ruas MA, Gubelmann C, Vollenweider P, Marques-Vidal P, Guessous I. Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area. PLoS One 2022; 17:e0252255. [PMID: 35196322 PMCID: PMC8865698 DOI: 10.1371/journal.pone.0252255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 01/26/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Evidence suggests that the built environment can influence the intensity of physical activity. However, despite the importance of the geographic context, most of the studies do not consider the spatial framework of this association. We aimed to assess individual spatial dependence of objectively measured moderate and vigorous physical activity (MVPA) and describe the characteristics of the built environment among spatial clusters of MVPA. Methods Cross-sectional data from the second follow-up (2014–2017) of CoLaus|PsyCoLaus, a longitudinal population-based study of the Lausanne area (Switzerland), was used to objectively measure MVPA using accelerometers. Local Moran’s I was used to assess the spatial dependence of MVPA and detect geographic clusters of low and high MVPA. Additionally, the characteristics of the built environment observed in the clusters based on raw MVPA and MVPA adjusted for socioeconomic and demographic factors were compared. Results Data from 1,889 participants (median age 63, 55% women) were used. The geographic distribution of MVPA and the characteristics of the built environment among clusters were similar for raw and adjusted MVPA. In the adjusted model, we found a low concentration of individuals within spatial clusters of high MVPA (median: 38.5mins; 3% of the studied population) and low MVPA (median: 10.9 mins; 2% of the studied population). Yet, clear differences were found in both models between clusters regarding the built environment; high MVPA clusters were located in areas where specific compositions of the built environment favor physical activity. Conclusions Our results suggest the built environment may influence local spatial patterns of MVPA independently of socioeconomic and demographic factors. Interventions in the built environment should be considered to promote physically active behaviors in urban areas.
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Affiliation(s)
- Juan R Vallarta-Robledo
- Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland
| | - Stéphane Joost
- Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- La Source, School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland
| | - Marco André Vieira Ruas
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Cédric Gubelmann
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Idris Guessous
- Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland
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132
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Bayon V, Berger M, Solelhac G, Haba-Rubio J, Marques-Vidal P, Strippoli MP, Preisig M, Leger D, Heinzer R. Impact of night and shift work on metabolic syndrome and its components: a cross-sectional study in an active middle-to-older-aged population-based sample. BMJ Open 2022; 12:e053591. [PMID: 35168974 PMCID: PMC8852754 DOI: 10.1136/bmjopen-2021-053591] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES To examine the effects of work schedules on metabolic syndrome and its components in active middle-to-older-aged workers. METHODS A cross-sectional analysis including middle-to-older-aged active workers from the population-based CoLaus|PsyCoLaus study (Lausanne, Switzerland) was performed. Work schedule was self-reported and defined as follows: permanent day, day shift, night shift and permanent night work. Associations between work schedule and the risk of metabolic syndrome and its components were analysed using multivariable-adjusted logistic regressions. RESULTS A total of 2301 active workers (median age (IQR): 55.4 (50.8 to 60.4), 50.1% women) were included. Of these, 1905 were permanent day workers, 220 were day-shift workers, 134 were night-shift workers and 42 were permanent night-shift workers. There were significant interactions between sex and work schedule for metabolic syndrome, high triglycerides and visceral obesity. Men but not women permanent night workers had a higher prevalence of metabolic syndrome than permanent day workers in multivariable-adjusted analyses (OR 4.45 (95% CI 1.36 to 14.56)). Analysis of metabolic syndrome subcomponents showed that the association between work schedule and metabolic syndrome in men was mainly driven by visceral obesity (OR 3.35 (95% CI 1.04 to 10.76)). Conversely, women but not men working in night shift were at increased risk of having high triglycerides compared with permanent day workers (OR 2.92 (95% CI 1.03 to 8.27)). CONCLUSIONS The risk of metabolic syndrome is higher in men working in permanent night shift compared with permanent day work, and this association could be mediated by visceral obesity.
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Affiliation(s)
- Virginie Bayon
- Center of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Mathieu Berger
- Center of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Geoffroy Solelhac
- Center of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - José Haba-Rubio
- Center of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, CHUV and University of Lausanne, Lausanne, Switzerland
| | | | - Martin Preisig
- Department of Psychiatry, CHUV and University of Lausanne, Lausanne, Switzerland
| | - Damien Leger
- Centre du sommeil et de la vigilance, Hôtel Dieu, APHP, Paris, France
- EA 7330 VIFASOM, Sommeil-Vigilance-Fatigue et Santé Publique, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Raphael Heinzer
- Center of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
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133
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Lutti A, Corbin N, Ashburner J, Ziegler G, Draganski B, Phillips C, Kherif F, Callaghan MF, Di Domenicantonio G. Restoring statistical validity in group analyses of motion-corrupted MRI data. Hum Brain Mapp 2022; 43:1973-1983. [PMID: 35112434 PMCID: PMC8933245 DOI: 10.1002/hbm.25767] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 01/07/2023] Open
Abstract
Motion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterise disease in patient populations. Quality control procedures allow the exclusion of the most affected images from analysis. However, the criterion for exclusion is difficult to determine objectively and exclusion can lead to a suboptimal compromise between image quality and sample size. We provide an alternative, data‐driven solution that assigns weights to each image, computed from an index of image quality using restricted maximum likelihood. We illustrate this method through the analysis of quantitative MRI data. The proposed method restores the validity of statistical tests, and performs near optimally in all brain regions, despite local effects of head motion. This method is amenable to the analysis of a broad type of MRI data and can accommodate any measure of image quality.
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Affiliation(s)
- Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nadège Corbin
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS/University Bordeaux, Bordeaux, France.,Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Gabriel Ziegler
- Institute for Cognitive Neurology and Dementia Research, University of Magdeburg, Germany
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christophe Phillips
- GIGA Cyclotron Research Centre - in vivo imaging, GIGA Institute, University of Liège, Liège, Belgium
| | - Ferath Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Giulia Di Domenicantonio
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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134
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Marques-Vidal P, Schaller R, Vollenweider P, Waeber G, Guessous I, Haba-Rubio J, Heinzer R. The association between objective sleep duration and diet. the colaus|hypnolaus study. Clin Nutr ESPEN 2022; 48:313-320. [DOI: 10.1016/j.clnesp.2022.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 11/26/2022]
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135
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Stamm E, Marques-Vidal P, Gonzalez Rodriguez E, Vollenweider P, Hans D, Lamy O. Association of adiposity evaluated by anthropometric, BIA, and DXA measures with cardiometabolic risk factors in nonobese postmenopausal women: the CoLaus/OsteoLaus cohort. Menopause 2022; 29:450-459. [PMID: 35357367 DOI: 10.1097/gme.0000000000001930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/12/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE After menopause, body composition changes with body fat accumulation, and an increase in cardiometabolic risk factors. Total fat mass, regional fat mass, and visceral adipose tissue (VAT) may be estimated with anthropometric measures, bioelectrical impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA). The aim of our study was to assess which measurement correlated best with cardiometabolic risk factors in healthy nonobese postmenopausal women. METHODS The CoLaus/OsteoLaus cohort included 1,500 postmenopausal women (age range 50-80). We analyzed correlations between: 1) measurements of body composition assessed by anthropometric measures, BIA, and DXA and 2) these measurements and different selected cardiometabolic risk factors, such as blood pressure, lipid markers (cholesterol subtypes and triglycerides), and metabolic markers (glucose, insulin, adiponectin, and leptin). Spearman correlation coefficient, stepwise forward regression, and linear regression analyses were used to determine association between anthropometric measurements and cardiometabolic risk factors. RESULTS In the 803 included participants (mean age 62.0 ± 7.1 y, mean body mass index 25.6 kg/m2 ± 4.4), correlations between total fat mass measured by BIA and total fat mass, android fat, gynoid fat, or VAT measured by DXA are very strong (from r = 0.531, [99% confidence interval (CI), 0.443-0.610] to r = 0.704, [99% CI, 0.640-0.758]). Body mass index and waist circumference have a higher correlation with VAT (r = 0.815, [99% CI, 0.772-0.851] and r = 0.823 [99% CI, 0.782-0.858], respectively) than BIA (r = 0.672 [99% CI, 0.603-0.731]). Among the anthropometric measurement and the measurements derived from DXA and BIA, VAT is the parameter most strongly associated with cardiometabolic risk factors. VAT better explains the variation of most of the cardiometabolic risk factors than age and treatment. For example, nearly 5% of the variability of the diastolic blood pressure (9.9 vs 4.9), nearly 15% of the variability of high-density lipoprotein cholesterol (20.3 vs 3.8) and triglyceride (21.1 vs 6.5), 25.3% of the variability of insulin (33.3 vs 8.1), and 37.5% of the variability of leptin (37.7 vs 1.1) were explained by VAT. CONCLUSIONS BIA seems not to be a good tool to assess VAT. At the population level, waist circumference and body mass index seem to be good tools to estimate VAT. VAT measured by DXA is the parameter most correlated with cardiometabolic risk factors and could become a component of the cardiometabolic marker on its own.
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Affiliation(s)
- Elisabeth Stamm
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Elena Gonzalez Rodriguez
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Didier Hans
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Olivier Lamy
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
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136
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Ottino C, Strippoli MPF, Gholam M, Lasserre AM, Vandeleur CL, Vollenweider P, Marques-Vidal P, Clair C, Preisig M. Short-term and long-term effects of major depressive disorder subtypes on obesity markers and impact of sex on these associations. J Affect Disord 2022; 297:570-578. [PMID: 34718038 DOI: 10.1016/j.jad.2021.10.057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 09/25/2021] [Accepted: 10/23/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Only a few studies with conflicting results have examined the effects of sex on the prospective association between depression and subsequent obesity. OBJECTIVE (1) To simultaneously assess the associations of the subtypes (atypical, melancholic, unspecified) of major depressive disorder (MDD) measured at baseline and subtypes of major depressive episodes (MDE) that emerged during a 5.5-year follow-up with changes in obesity markers (body mass index, waist circumference, fat mass) during this follow-up, and (2) to test the effect of sex on these associations. METHODS Data from CoLaus|PsyCoLaus, a population-based cohort study including 2702 participants (50.1% women, mean age 49.6 years). Criteria for mental disorders were elicited using semi-structured interviews. RESULTS History of atypical MDD at baseline was associated with a steeper increase in BMI and waist circumference, whereas atypical MDE during follow-up was associated with a steeper increase in the three studied obesity markers. Melancholic MDD at baseline was associated with a steeper increase in BMI. Several significant interactions with sex were found indicating higher increase in fat mass in men than in women following melancholic MDD reported at baseline, higher decrease in BMI and fat mass in women than in men related to melancholic MDE emerging during follow-up and higher increase in waist circumference in men than in women following unspecified MDD reported at baseline. LIMITATIONS Urban sample which may not be representative for the whole population. CONCLUSIONS Our results further advocate for the specific need of a thorough monitoring of obesity markers in patients with atypical MDD and suggest less favorable obesity marker changes mainly related to melancholic MDE in men.
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Affiliation(s)
- Clémentine Ottino
- Faculty of Biology and Medicine, University of Lausanne, Av. Edouard-Rod 28, Lausanne CH-1007, Switzerland.
| | - Marie-Pierre F Strippoli
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mehdi Gholam
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Aurélie M Lasserre
- Addiction Medicine, Department of psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Caroline L Vandeleur
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Carole Clair
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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137
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Vendrami C, Marques-Vidal P, Gonzalez Rodriguez E, Hans D, Waeber G, Lamy O. Thyroid-stimulating hormone is associated with trabecular bone score and 5-year incident fracture risk in euthyroid postmenopausal women: the OsteoLaus cohort. Osteoporos Int 2022; 33:195-204. [PMID: 34409507 PMCID: PMC8758596 DOI: 10.1007/s00198-021-06081-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/21/2021] [Indexed: 11/17/2022]
Abstract
Thyroid-stimulating hormone (TSH) excess or deficiency influences bone density and fracture risk. Nevertheless, does TSH in the reference range influence bone health? In euthyroid postmenopausal women, TSH levels in the reference range were positively associated with trabecular bone score and negatively with incident fractures, without affecting BMD. PURPOSE Subclinical hyperthyroidism is associated with low bone mineral density (BMD) and increased fracture risk. In healthy postmenopausal women, association between thyroid-stimulating hormone (TSH) in the normal range and BMD is contradictory. Trabecular bone score (TBS), an index of bone micro-architecture, is often decreased in secondary osteoporosis (OP). The aim was to determine the association between thyroid hormones (TSH, fT4) and BMD, TBS, and the incident 5-year OP fractures, in euthyroid post-menopausal women. METHODS We assessed 1475 women of the CoLaus/OsteoLaus cohort. We evaluated BMD at lumbar spine, femoral neck and total hip, lumbar spine TBS, and vertebral fracture with DXA. Incident major OP fractures were evaluated 5 years later by questionnaire and DXA. Women with anti-osteoporotic, antidiabetic, thyroid-modifying, hormone replacement, or systemic corticoid treatment were excluded. RESULTS Five hundred thirty-three women (age 68.4 ± 7.3 years, BMI 25.9 ± 4.6 kg/m2, TSH 2.03 ± 0.87 mU/l, fT4 15.51 ± 1.85 pmol/l) met the inclusion criteria. There was no significant association between TSH or fT4 and BMD measures at any site. A positive association was found between TSH and TBS (β = 0.138, p < 0.01), even after adjusting for age, BMI, and duration of menopause (β = 0.086, p < 0.05). After a 5-year follow-up, women with incident major OP fractures had lower TSH levels (1.77 ± 0.13 vs. 2.05 ± 0.04 mU/l, p < 0.05) than women without fractures, while no difference was found for fT4. CONCLUSION In euthyroid postmenopausal women, TSH levels were positively associated with TBS and negatively with incident fractures, without affecting BMD. Further studies are needed to evaluate the influence of thyroid hormones on TBS.
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Affiliation(s)
- C Vendrami
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland
| | - P Marques-Vidal
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland
- Internal Medicine Unit, Internal Medicine Department, CHUV, Lausanne, Switzerland
| | - E Gonzalez Rodriguez
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland
- Center of Bone Diseases, Rheumatology Unit, Bone and Joint Department, CHUV, Lausanne, Switzerland
| | - D Hans
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland
- Center of Bone Diseases, Rheumatology Unit, Bone and Joint Department, CHUV, Lausanne, Switzerland
| | - G Waeber
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland
- Internal Medicine Unit, Internal Medicine Department, CHUV, Lausanne, Switzerland
| | - O Lamy
- University of Lausanne, UNIL, CHUV, Lausanne, Switzerland.
- Internal Medicine Unit, Internal Medicine Department, CHUV, Lausanne, Switzerland.
- Center of Bone Diseases, Rheumatology Unit, Bone and Joint Department, CHUV, Lausanne, Switzerland.
- Department of Medicine, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
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138
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Liu L, Li X, Wu M, Yu M, Wang L, Hu L, Li Y, Song L, Wang Y, Mei S. Individual and joint effects of metal exposure on metabolic syndrome among Chinese adults. CHEMOSPHERE 2022; 287:132295. [PMID: 34563779 DOI: 10.1016/j.chemosphere.2021.132295] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 06/13/2023]
Abstract
Growing evidence suggests that metal exposure contributes to metabolic syndrome (MetS), but little is known about the effects of combined exposure to metal mixtures. This cross-sectional study included 3748 adults who were recruited from the Medical Physical Examination Center of Tongji Hospital, Wuhan, China. The levels of 21 metal(loid)s in urine were measured by inductively coupled plasma mass spectrometry. MetS was diagnosed according to National Cholesterol Education Program's Adult Treatment Panel III recommendations. Multivariate logistic regression model was uesd to explore the effects of single-metal and multi-metal exposures. The elastic net (ENET) regularization with an environmental risk score (ERS) was performed to estimate the joint effects of exposure to metal mixtures. A total of 636 participants (17%) were diagnosed with MetS. In single metal models, MetS was positively associated with zinc (Zn) and negatively associated with nickel (Ni). In multiple metal models, the associations remained significant after adjusting for the other metals. In the joint association analysis, the ENET models selected Zn as the strongest predictor of MetS. Compared to the lowest quartile, the highest quartile of ERS was associated with an elevated risk of MetS (OR = 3.72; 95% CI: 2.77, 5.91; P-trend < 0.001). Overall, we identified that the combined effect of multiple metals was related to an increased MetS risk, with Zn being the major contributor. These findings need further validation in prospective studies.
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Affiliation(s)
- Ling Liu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Xiang Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meng Yu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Limei Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Liqin Hu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Yaping Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Surong Mei
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hongkong Road, Wuhan, Hubei, 430030, China.
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139
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Xu Y, Ajdacic-Gross V, Müller M, Buadze A, Seifritz E, Kleim B, von Känel R, Wagner EYN, Strippoli MPF, Castelao E, Preisig M, Vandeleur CL. Childhood adversity patterns differentially cluster with mental disorders and socioeconomic indicators in a large Swiss community sample. Compr Psychiatry 2022; 112:152282. [PMID: 34749059 DOI: 10.1016/j.comppsych.2021.152282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/24/2021] [Accepted: 10/15/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Exposure to childhood adversities (CHAD) has been found to be strongly associated with individuals' mental health and social development. Recently, it has been suggested that certain CHAD patterns exist in the population, which are more closely related to individuals' later mental health than the simple summation of adversities. The current study aims 1) to establish CHAD patterns based on self-reported child abuse and family dysfunction and 2) to assess their associations with mental disorders and sociodemographic indicators reported in adulthood. METHODS Data used in this cross-sectional study were derived from the representative CoLaus/PsyCoLaus population-based cohort (N = 5111, 35 to 88 years). Latent class analysis was conducted for the identification of CHAD patterns, while their associations with mental disorders and socioeconomic achievements (e. g. education and income) were investigated using correspondence analysis. RESULTS Four CHAD patterns emerged. While the majority (70.7%) of the sample showed an overall low adversity pattern (c1), 13.6% had not been raised by both of their biological parents due to divorce or being placed in foster home (c2), 11.0% had been raised by conflictive / dysfunctional / abusive parents (c3), and 4.7% showed high overall adversities (c4). Patterns c3 and c4 were most strongly associated with various mental disorders, especially c3 with internalizing anxiety disorders, while c2 was closely related to lower educational achievement. CONCLUSIONS Four CHAD patterns characterised by varying levels of child abuse and family dysfunction existed in this community sample. They yielded distinct associations with mental disorders and socioeconomic indicators.
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Affiliation(s)
- Yanhua Xu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.
| | - Vladeta Ajdacic-Gross
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Mario Müller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Anna Buadze
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Birgit Kleim
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Roland von Känel
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - En-Young N Wagner
- Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marie-Pierre F Strippoli
- Department of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Enrique Castelao
- Department of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Caroline L Vandeleur
- Department of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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140
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Probst-Hensch N, Bochud M, Chiolero A, Crivelli L, Dratva J, Flahault A, Frey D, Kuenzli N, Puhan M, Suggs LS, Wirth C. Swiss Cohort & Biobank - The White Paper. Public Health Rev 2022; 43:1605660. [PMID: 36619237 PMCID: PMC9817110 DOI: 10.3389/phrs.2022.1605660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- *Correspondence: Nicole Probst-Hensch,
| | - Murielle Bochud
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Department of Epidemiology and Health Systems (DESS), University Center for General Medicine and Public Health (Unisanté), Lausanne, Switzerland
| | - Arnaud Chiolero
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Luca Crivelli
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland
- Institute of Public Health Università della Svizzera Italiana, Lugano, Switzerland
| | - Julia Dratva
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Public Health, Department of Health Sciences, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland
| | - Antoine Flahault
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Daniel Frey
- Swiss Society for Public Health, Bern, Switzerland
| | - Nino Kuenzli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute (Swiss TPH), Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
| | - Milo Puhan
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - L. Suzanne Suggs
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Swiss Society for Public Health, Bern, Switzerland
- Institute of Public Health Università della Svizzera Italiana, Lugano, Switzerland
| | - Corina Wirth
- Swiss Society for Public Health, Bern, Switzerland
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141
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Schrempft S, Belsky DW, Draganski B, Kliegel M, Vollenweider P, Marques-Vidal P, Preisig M, Stringhini S. Associations between life course socioeconomic conditions and the Pace of Aging. J Gerontol A Biol Sci Med Sci 2021; 77:2257-2264. [PMID: 34951641 DOI: 10.1093/gerona/glab383] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Socioeconomic disadvantage is a well-established predictor of morbidity and mortality, and is thought to accelerate the aging process. This study examined associations between life course socioeconomic conditions and the Pace of Aging, a longitudinal measure of age-related physiological decline. METHODS Data were drawn from a Swiss population-based cohort of individuals originally recruited between 2003 and 2006, and followed up for 11 years (2834 women, 2475 men aged 35 - 75 years (mean 52)). Pace of Aging was measured using three repeated assessments of 12 biomarkers reflecting multiple body systems. Analysis tested associations of socioeconomic conditions with physiological status at baseline and with the Pace of Aging. RESULTS Participants with more life course socioeconomic disadvantage were physiologically older at baseline and experienced faster Pace of Aging. Effect-sizes (β) for associations of childhood socioeconomic disadvantage with baseline physiological status ranged from 0.1-0.2; for adulthood socioeconomic disadvantage, effect-sizes ranged from 0.2-0.3. Effect-sizes were smaller for associations with the Pace of Aging (< 0.05 for childhood disadvantage, 0.05-0.1 for adulthood disadvantage). Those who experienced disadvantaged socioeconomic conditions from childhood to adulthood aged 10% faster over the 11 years of follow-up as compared with those who experienced consistently advantaged socioeconomic conditions. Covariate adjustment for health behaviors attenuated associations, but most remained statistically significant. CONCLUSIONS Socioeconomic inequalities contribute to a faster Pace of Aging, partly through differences in health behaviors. Intervention to slow aging in at risk individuals is needed by midlife, before aetiology of aging-related diseases become established.
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Affiliation(s)
- Stephanie Schrempft
- Division of Primary Care, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health.,Robert N. Butler Columbia Aging Center, Columbia University, New York
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging LREN, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias Kliegel
- Swiss National Centre of Competences in Research, "LIVES - Overcoming Vulnerability: Life Course Perspectives," University of Geneva, Switzerland.,Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland.,Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Silvia Stringhini
- Division of Primary Care, Unit of Population Epidemiology, Geneva University Hospitals, Geneva, Switzerland.,Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
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142
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Janett-Pellegri C, Wildisen L, Feller M, Del Giovane C, Moutzouri E, Grolimund O, Walter P, Waeber G, Marques-Vidal P, Vollenweider P, Rodondi N. Prevalence and factors associated with chronic use of levothyroxine: A cohort study. PLoS One 2021; 16:e0261160. [PMID: 34928965 PMCID: PMC8687586 DOI: 10.1371/journal.pone.0261160] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 11/25/2021] [Indexed: 11/19/2022] Open
Abstract
Importance Levothyroxine prescriptions are rising worldwide. However, there are few data on factors associated with chronic use. Objective To assess the prevalence of chronic levothyroxine use, its rank among other chronic drugs and factors associated with chronic use. To assess the proportion of users outside the therapeutic range of thyroid-stimulating hormone (TSH). Design Cohort study (CoLaus|PsyCoLaus) with recruitment from 2003 to 2006. Follow-ups occurred 5 and 10 years after baseline. Participants A random sample of Lausanne (Switzerland) inhabitants aged 35–75 years. Main outcomes We evaluated the prevalence of chronic levothyroxine use and we then ranked it among the other most used chronic drugs. The ranking was compared to data from health insurance across the country. We assessed the association between each factor and chronic levothyroxine use in multivariable logistic regression models. The proportion of chronic levothyroxine users outside the usual TSH therapeutic range was assessed. Results 4,334 participants were included in the analysis (mean±SD age 62.8±10.4 years, 54.9% women). 166 (3.8%) participants were chronic levothyroxine users. Levothyroxine was the second most prescribed chronic drug after aspirin in the cohort (8.2%) and the third most prescribed when using Swiss-wide insurance data. In multivariable analysis, chronic levothyroxine use was associated with increasing age [odds ratio 1.03, 95% confidence interval 1.01–1.05 per 1-year increase]; female sex [11.87 (5.24–26.89)]; BMI [1.06 (1.02–1.09) per 1-kg/m2 increase]; number of concomitant drugs [1.22 (1.16–1.29) per 1-drug increase]; and family history of thyroid pathologies [2.18 (1.37–3.48)]. Among chronic levothyroxine users with thyroid hormones assessment (n = 157), 42 (27%) were outside the TSH therapeutic range (17% overtreated and 10% undertreated). Conclusions In this population-based study, levothyroxine ranked second among chronic drugs. Age, female sex, BMI, number of drugs and family history of thyroid pathologies were associated with chronic levothyroxine use. More than one in four chronic users were over- or undertreated.
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Affiliation(s)
- Camilla Janett-Pellegri
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Lea Wildisen
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Martin Feller
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Elisavet Moutzouri
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | | | | | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Nicolas Rodondi
- Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
- * E-mail:
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143
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Delabays B, Cavassini M, Damas J, Beuret H, Calmy A, Hasse B, Bucher HC, Frischknecht M, Müller O, Méan M, Vollenweider P, Marques-Vidal P, Vaucher J. Cardiovascular risk assessment in people living with HIV compared to the general population. Eur J Prev Cardiol 2021; 29:689-699. [PMID: 34893801 DOI: 10.1093/eurjpc/zwab201] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/02/2021] [Accepted: 11/12/2021] [Indexed: 12/16/2022]
Abstract
AIMS We prospectively assessed and compared the accuracy of cardiovascular risk scores in people living with HIV (PLWH) and individuals from the general population. METHODS AND RESULTS The Systematic Coronary Risk Evaluation Score 2 (SCORE2), the Pooled Cohort Equations (PCE), and the HIV-specific Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) score were calculated in participants free from atherosclerotic cardiovascular disease (ASCVD) between 2003 and 2009. In total, 6373 [mean age, 40.6 years (SD, 9.9)] PLWH from the Swiss HIV Cohort Study (SHCS) and 5403 [52.8 years (SD, 10.7)] individuals from the CoLaus|PsyCoLaus study were eligible for analysis. We tested discrimination and calibration, and the value of adding HIV-specific factors to scores using the net reclassification improvement (NRI). During mean follow-ups of 13.5 (SD, 4.1) in SHCS and 9.9 (SD, 2.3) years in CoLaus|PsyCoLaus study, 533 (8.4%) and 374 (6.9%) people developed an incident ASCVD, respectively. This translated into age-adjusted incidence rates of 12.9 and 7.5 per 1000 person-year, respectively. In SHCS, SCORE2, PCE, and D:A:D presented comparable discriminative capacities [area under the receiver operating characteristic curve of 0.745 (95% confidence interval, CI, 0.723-0.767), 0.757 (95% CI, 0.736-0.777), and 0.763 (95% CI, 0.743-0.783)]. Adding HIV-specific variables (CD4 nadir and abacavir exposure) to SCORE2 and PCE resulted in an NRI of -0.1% (95% CI, -1.24 to 1, P = 0.83) and of 2.7% (95% CI, 0.3-5.1, P = 0.03), respectively. CONCLUSIONS PLWH present a two-fold higher rate of incident ASCVD compared to individuals from the general population. SCORE2 and PCE, which are clinically easier to use (reduced set of variables without adding HIV-specific factors), are valid to predict ASCVD in PLWH.
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Affiliation(s)
- Benoît Delabays
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Jose Damas
- Division of Infectious Diseases, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Hadrien Beuret
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Alexandra Calmy
- Division of Infectious Diseases, Department of Medicine, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Barbara Hasse
- Department of Infectious Diseases and Hospital Epidemiology, Zürich University Hospital, Rämistrasse 100, 8091 Zürich, Switzerland
| | - Heiner C Bucher
- Basel Institute for Clinical Epidemiology & Biostatistics, Basel University Hospital, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Manuel Frischknecht
- Division of Infectious Diseases and Hospital Epidemiology, Department of Internal Medicine, Cantonal Hospital St. Gallen, Rorschacher Strasse 95, 9007 St. Gallen, Switzerland
| | - Olivier Müller
- Division of Cardiology, Heart and Vessel Department, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Marie Méan
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Peter Vollenweider
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Julien Vaucher
- Division of Internal Medicine, Department of Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
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144
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Berger M, Pichot V, Solelhac G, Marques-Vidal P, Haba-Rubio J, Vollenweider P, Waeber G, Preisig M, Barthélémy JC, Roche F, Heinzer R. Association between nocturnal heart rate variability and incident cardiovascular disease events: The HypnoLaus population-based study. Heart Rhythm 2021; 19:632-639. [PMID: 34864166 DOI: 10.1016/j.hrthm.2021.11.033] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/10/2021] [Accepted: 11/29/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Although heart rate variability (HRV) is widely used to assess cardiac autonomic function, few studies have specifically investigated nocturnal HRV. OBJECTIVE The purpose of this study was to assess the association between nocturnal HRV and cardiovascular disease (CVD) incidence over 4 years in a population-based sample. METHODS A total of 1784 participants (48.2% men; 58 ± 11 years) from the HypnoLaus population-based cohort free of CVD at baseline were included. Polysomnography-based electrocardiograms were exported to analyze time- and frequency-domain HRV, Poincaré plots indices, detrended fluctuation analysis, acceleration capacity (AC) and deceleration capacity (DC), entropy, heart rate fragmentation (HRF), and heart rate turbulence. Multivariable-adjusted Cox regression analysis was used to assess the association between HRV indices and incident CVD events. RESULTS Sixty-seven participants (3.8%) developed CVD over mean follow-up of 4.1 ± 1.1 years. In a fully adjusted model, AC (hazard ratio per 1-SD increase; 95% confidence interval: 1.59; 1.17-2.16; P = .004), DC (0.63; 0.47-0.84; P = .002), and HRF (1.41; 1.11-1.78; P = .005) were the only HRV metrics significantly associated with incident CVD events after controlling for false discovery rate. CONCLUSION Nocturnal novel HRV parameters such as AC, DC, and HRF are better predictors of CVD events than time and frequency traditional HRV parameters. These findings suggest a form of dysautonomia and fragmented rhythms, but further experimental studies are needed to delineate the underlying physiological mechanisms of these novel HRV parameters.
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Affiliation(s)
- Mathieu Berger
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland; SNA-EPIS Laboratory, University Hospital of Saint-Etienne, Saint-Etienne, France.
| | - Vincent Pichot
- SNA-EPIS Laboratory, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Geoffroy Solelhac
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - José Haba-Rubio
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | | | - Frédéric Roche
- SNA-EPIS Laboratory, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
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145
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Ponte B, Sadler MC, Olinger E, Vollenweider P, Bochud M, Padmanabhan S, Hayward C, Kutalik Z, Devuyst O. Mendelian randomization to assess causality between uromodulin, blood pressure and chronic kidney disease. Kidney Int 2021; 100:1282-1291. [PMID: 34634361 DOI: 10.1016/j.kint.2021.08.032] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 08/02/2021] [Accepted: 08/26/2021] [Indexed: 11/24/2022]
Abstract
UMOD variants associated with higher levels of urinary uromodulin (uUMOD) increase the risk of chronic kidney disease (CKD) and hypertension. However, uUMOD levels also reflect functional kidney tubular mass in observational studies, questioning the causal link between uromodulin production and kidney damage. We used Mendelian randomization to clarify causality between uUMOD levels, kidney function and blood pressure in individuals of European descent. The link between uUMOD and estimated glomerular filtration rate (eGFR) was first investigated in a population-based cohort of 3851 individuals. In observational data, higher uUMOD associated with higher eGFR. Conversely, when using rs12917707 (an UMOD polymorphism) as an instrumental variable in one-sample Mendelian randomization, higher uUMOD strongly associated with eGFR decline. We next applied two-sample Mendelian randomization on four genome wide association study consortia to explore causal links between uUMOD and eGFR, CKD risk (567,460 individuals) and blood pressure (757,461 individuals). Higher uUMOD levels significantly associated with lower eGFR, higher odds for eGFR decline or CKD, and higher systolic or diastolic blood pressure. Each one standard deviation (SD) increase of uUMOD decreased log-transformed eGFR by -0.15 SD (95% confidence interval -0.17 to -0.13) and increased log-odds CKD by 0.13 SD (0.12 to 0.15). One SD increase of uUMOD increased systolic blood pressure by 0.06 SD (0.03 to 0.09) and diastolic blood pressure by 0.08 SD (0.05 to 0.12). The effect of uUMOD on blood pressure was mediated by eGFR, whereas the effect on eGFR was not mediated by blood pressure. Thus, our data support that genetically driven levels of uromodulin have a direct, causal and adverse effect on kidney function outcome in the general population, not mediated by blood pressure.
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Affiliation(s)
- Belen Ponte
- Nephrology and Hypertension Service, Department of Medicine, University Hospitals of Geneva (HUG), Geneva, Switzerland.
| | - Marie C Sadler
- Department of Epidemiology and Health Systems, University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland; Statistical Genetics Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Eric Olinger
- Mechanisms of Inherited Kidney Disorders Group, Institute of Physiology, University of Zurich, Zürich, Switzerland
| | - Peter Vollenweider
- Department of Internal Medicine, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Murielle Bochud
- Department of Epidemiology and Health Systems, University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
| | - Sandosh Padmanabhan
- Department of Health and Social Care, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland
| | - Caroline Hayward
- Biomedical Genomics Section, Medical Research Council (MRC) Human Genetics Unit, Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, Scotland
| | - Zoltán Kutalik
- Department of Epidemiology and Health Systems, University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland; Statistical Genetics Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Olivier Devuyst
- Mechanisms of Inherited Kidney Disorders Group, Institute of Physiology, University of Zurich, Zürich, Switzerland.
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146
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Impact of diet on the management of cardiovascular risk factors. CLINICAL NUTRITION OPEN SCIENCE 2021. [DOI: 10.1016/j.nutos.2021.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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147
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Sönmez Flitman R, Khalili B, Kutalik Z, Rueedi R, Brümmer A, Bergmann S. Untargeted Metabolome- and Transcriptome-Wide Association Study Suggests Causal Genes Modulating Metabolite Concentrations in Urine. J Proteome Res 2021; 20:5103-5114. [PMID: 34699229 PMCID: PMC9286311 DOI: 10.1021/acs.jproteome.1c00585] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
![]()
Gene products can
affect the concentrations of small molecules
(aka “metabolites”), and conversely, some metabolites
can modulate the concentrations of gene transcripts. While many specific
instances of this interplay have been revealed, a global approach
to systematically uncover human gene-metabolite interactions is still
lacking. We performed a metabolome- and transcriptome-wide association
study to identify genes influencing the human metabolome using untargeted
metabolome features, extracted from 1H nuclear magnetic
resonance spectroscopy (NMR) of urine samples, and gene expression
levels, quantified from RNA-Seq of lymphoblastoid cell lines (LCL)
from 555 healthy individuals. We identified 20 study-wide significant
associations corresponding to 15 genes, of which 5 associations (with
2 genes) were confirmed with follow-up NMR data. Using metabomatching,
we identified the metabolites corresponding to metabolome features
associated with the genes, namely, N-acetylated compounds with ALMS1 and trimethylamine (TMA) with HPS1. Finally, Mendelian randomization analysis supported a potential
causal link between the expression of genes in both the ALMS1- and HPS1-loci and their associated metabolite
concentrations. In the case of HPS1, we additionally
observed that TMA concentration likely exhibits a reverse causal effect
on HPS1 expression levels, indicating a negative
feedback loop. Our study highlights how the integration of metabolomics,
gene expression, and genetic data can pinpoint causal genes modulating
metabolite concentrations.
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Affiliation(s)
- Reyhan Sönmez Flitman
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Bita Khalili
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Zoltan Kutalik
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,University Center for Primary Care and Public Health, University of Lausanne, Lausanne 1010, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Anneke Brümmer
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne 1015, Switzerland.,Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.,Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town 7700, South Africa
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148
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Morelle J, Marechal C, Yu Z, Debaix H, Corre T, Lambie M, Verduijn M, Dekker F, Bovy P, Evenepoel P, Bammens B, Selgas R, Bajo MA, Coester AM, Sow A, Hautem N, Struijk DG, Krediet RT, Balligand JL, Goffin E, Crott R, Ripoche P, Davies S, Devuyst O. AQP1 Promoter Variant, Water Transport, and Outcomes in Peritoneal Dialysis. N Engl J Med 2021; 385:1570-1580. [PMID: 34670044 DOI: 10.1056/nejmoa2034279] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Variability in ultrafiltration influences prescriptions and outcomes in patients with kidney failure who are treated with peritoneal dialysis. Variants in AQP1, the gene that encodes the archetypal water channel aquaporin-1, may contribute to that variability. METHODS We gathered clinical and genetic data from 1851 patients treated with peritoneal dialysis in seven cohorts to determine whether AQP1 variants were associated with peritoneal ultrafiltration and with a risk of the composite of death or technique failure (i.e., transfer to hemodialysis). We performed studies in cells, mouse models, and samples obtained from humans to characterize an AQP1 variant and investigate mitigation strategies. RESULTS The common AQP1 promoter variant rs2075574 was associated with peritoneal ultrafiltration. Carriers of the TT genotype at rs2075574 (10 to 16% of patients) had a lower mean (±SD) net ultrafiltration level than carriers of the CC genotype (35 to 47% of patients), both in the discovery phase (506±237 ml vs. 626±283 ml, P = 0.007) and in the validation phase (368±603 ml vs. 563±641 ml, P = 0.003). After a mean follow-up of 944 days, 139 of 898 patients (15%) had died and 280 (31%) had been transferred to hemodialysis. TT carriers had a higher risk of the composite of death or technique failure than CC carriers (adjusted hazard ratio, 1.70; 95% confidence interval [CI], 1.24 to 2.33; P = 0.001), as well as a higher risk of death from any cause (24% vs. 15%, P = 0.03). In mechanistic studies, the rs2075574 risk variant was associated with decreases in AQP1 promoter activity, aquaporin-1 expression, and glucose-driven osmotic water transport. The use of a colloid osmotic agent mitigated the effects of the risk variant. CONCLUSIONS A common variant in AQP1 was associated with decreased ultrafiltration and an increased risk of death or technique failure among patients treated with peritoneal dialysis. (Funded by the Swiss National Science Foundation and others.).
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Affiliation(s)
- Johann Morelle
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Céline Marechal
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Zanzhe Yu
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Huguette Debaix
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Tanguy Corre
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Mark Lambie
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Marion Verduijn
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Friedo Dekker
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Philippe Bovy
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Pieter Evenepoel
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Bert Bammens
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Rafael Selgas
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Maria A Bajo
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Annemieke M Coester
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Amadou Sow
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Nicolas Hautem
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Dirk G Struijk
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Raymond T Krediet
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Jean-Luc Balligand
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Eric Goffin
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Ralph Crott
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Pierre Ripoche
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Simon Davies
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
| | - Olivier Devuyst
- From the Division of Nephrology, Cliniques Universitaires Saint-Luc (J.M., E.G., O.D.), and Institut de Recherche Expérimentale et Clinique (J.M., C.M., H.D., A.S., N.H., J.-L.B., E.G., O.D.) and Institut de Recherche Santé et Société, Faculty of Public Health (R.C.), UCLouvain, Brussels, the Division of Nephrology, Clinique Saint-Joseph, Liege (P.B.), and the Department of Microbiology, Immunology, and Transplantation, Nephrology and Renal Transplantation Research Group, KU Leuven (P.E., B.B.), and the Department of Nephrology, Dialysis, and Renal Transplantation, University Hospitals Leuven (P.E., B.B.), Leuven - all in Belgium; the Department of Nephrology, Shanghai Jiao Tong University School of Medicine and Renji Hospital, Shanghai, China (Z.Y.); the Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom (Z.Y., M.L., S.D.); the Institute of Physiology, University of Zurich, Zurich (H.D., O.D.), and the Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne (T.C.) - both in Switzerland; the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden (M.V., F.D.), the Division of Nephrology, Department of Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam (A.M.C., D.G.S., R.T.K.), and the Department of Surgery, University Medical Center Groningen, Groningen (A.M.C.) - all in the Netherlands; the Division of Nephrology, Hospital Universitario La Paz, and Instituto de Investigación Sanitaria La Paz, Red de Investigación Renal, Universidad Autonoma, Madrid (R.S., M.A.B.); and Institut National de la Transfusion Sanguine, Paris (P.R.)
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149
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Patriota P, Marques-Vidal P. Retirement is associated with a decrease in dietary quality. Clin Nutr ESPEN 2021; 45:206-212. [PMID: 34620319 DOI: 10.1016/j.clnesp.2021.08.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/29/2021] [Accepted: 08/23/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIM Retirement has been associated with changes in dietary intake. We evaluated dietary intake and compliance to dietary guidelines after retirement in a population-based survey. METHODS Data from a prospective study conducted in Lausanne, Switzerland. Dietary intake was assessed using a validated food frequency questionnaire in 2009-2012 (first survey) and 2014-2017 (second survey). Total energy intake (TEI), macro and micronutrients, foods, dietary scores and compliance to dietary guidelines were assessed. Three approaches were used comparing changes in dietary intake: 1) before and after retiring (paired analysis); 2) in participants who retired with gender- and age-matched participants who did not retire (two-group comparison), and 3) in participants who retired, who did not retire or who were retired at both surveys (analysis of variance). RESULTS Using the first approach, newly retired participants (n = 215) increased their intake of total (median and [interquartile range]: 15.2 [13.7-17.5] vs. 14.9 [13.3-17.1] % of TEI) and animal (11.1 [9.1-13.0] vs. 10.0 [8.5-12.6] %TEI) protein; total (35.8 [32.1-40.7] vs. 34.6 [30.0-39.1] %TEI), saturated and monounsaturated fat; alcohol; cholesterol; vitamin D and fish, and decreased their intake of vegetable protein; total carbohydrates and monosaccharides, and of the Mediterranean diet score. Those findings were confirmed for total and saturated fat, alcohol, total carbohydrates and monosaccharides; vitamin D and fish intake, and of the Mediterranean diet score in the other two approaches. CONCLUSION Retirement was associated with an unhealthier dietary intake.
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Affiliation(s)
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, University of Lausanne, 46 Rue du Bugnon, 1011, Lausanne, Switzerland.
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150
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Soltani A, Abolhassani N, Marques-Vidal P, Aminian K, Vollenweider P, Paraschiv-Ionescu A. Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study. Sci Rep 2021; 11:18966. [PMID: 34556721 PMCID: PMC8460744 DOI: 10.1038/s41598-021-98359-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 08/24/2021] [Indexed: 02/08/2023] Open
Abstract
Gait speed is a reliable outcome measure across multiple diagnoses, recognized as the 6th vital sign. The focus of the present study was on assessment of gait speed in long-term real-life settings with the aim to: (1) demonstrate feasibility in large cohort studies, using data recorded with a wrist-worn accelerometer device; (2) investigate whether the walking speed assessed in the real-world is consistent with expected trends, and associated with clinical scores such as frailty/handgrip strength. This cross-sectional study included n = 2809 participants (1508 women, 1301 men, [45-75] years old), monitored with a wrist-worn device for 13 consecutive days. Validated algorithms were used to detect the gait bouts and estimate speed. A set of metrics were derived from the statistical distribution of speed of gait bouts categorized by duration (short, medium, long). The estimated usual gait speed (1-1.6 m/s) appears consistent with normative values and expected trends with age, gender, BMI and physical activity levels. Speed metrics significantly improved detection of frailty: AUC increase from 0.763 (no speed metrics) to 0.798, 0.800 and 0.793 for the 95th percentile of individual's gait speed for bout durations < 30, 30-120 and > 120 s, respectively (all p < 0.001). Similarly, speed metrics also improved the prediction of handgrip strength: AUC increase from 0.669 (no speed metrics) to 0.696, 0.696 and 0.691 for the 95th percentile of individual's gait speed for bout durations < 30, 30-120 and > 120 s, respectively (all p < 0.001). Forward stepwise regression showed that the 95th percentile speed of gait bouts with medium duration (30-120 s) to be the best predictor for both conditions. The study provides evidence that real-world gait speed can be estimated using a wrist-worn wearable system, and can be used as reliable indicator of age-related functional decline.
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Affiliation(s)
- Abolfazl Soltani
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Nazanin Abolhassani
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Kamiar Aminian
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Peter Vollenweider
- grid.8515.90000 0001 0423 4662Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Anisoara Paraschiv-Ionescu
- grid.5333.60000000121839049Laboratory of Movement Analysis and Measurement (LMAM)
, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
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