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Diego VP, Manusov EG, Mao X, Almeida M, Peralta JM, Curran JE, Mahaney MC, Göring H, Blangero J, Williams-Blangero S. Metabolic syndrome traits exhibit genotype-by-environment interaction in relation to socioeconomic status in the Mexican American family heart study. Front Genet 2024; 15:1240462. [PMID: 38495670 PMCID: PMC10940335 DOI: 10.3389/fgene.2024.1240462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/08/2024] [Indexed: 03/19/2024] Open
Abstract
Background: Socioeconomic Status (SES) is a potent environmental determinant of health. To our knowledge, no assessment of genotype-environment interaction has been conducted to consider the joint effects of socioeconomic status and genetics on risk for metabolic disease. We analyzed data from the Mexican American Family Studies (MAFS) to evaluate the hypothesis that genotype-by-environment interaction (GxE) is an essential determinant of variation in risk factors for metabolic syndrome (MS). Methods: We employed a maximum likelihood estimation of the decomposition of variance components to detect GxE interaction. After excluding individuals with diabetes and individuals on medication for diabetes, hypertension, or dyslipidemia, we analyzed 12 MS risk factors: fasting glucose (FG), fasting insulin (FI), 2-h glucose (2G), 2-h insulin (2I), body mass index (BMI), waist circumference (WC), leptin (LP), high-density lipoprotein-cholesterol (HDL-C), triglycerides (TG), total serum cholesterol (TSC), systolic blood pressure (SBP), and diastolic blood pressure (DBP). Our SES variable used a combined score of Duncan's socioeconomic index and education years. Heterogeneity in the additive genetic variance across the SES continuum and a departure from unity in the genetic correlation coefficient were taken as evidence of GxE interaction. Hypothesis tests were conducted using standard likelihood ratio tests. Results: We found evidence of GxE for fasting glucose, 2-h glucose, 2-h insulin, BMI, and triglycerides. The genetic effects underlying the insulin/glucose metabolism component of MS are upregulated at the lower end of the SES spectrum. We also determined that the household variance for systolic blood pressure decreased with increasing SES. Conclusion: These results show a significant change in the GxE interaction underlying the major components of MS in response to changes in socioeconomic status. Further mRNA sequencing studies will identify genes and canonical gene pathways to support our molecular-level hypotheses.
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Affiliation(s)
- Vincent P. Diego
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Eron G. Manusov
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Xi Mao
- Department of Economics, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Marcio Almeida
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Juan M. Peralta
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Joanne E. Curran
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Michael C. Mahaney
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Harald Göring
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - John Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
| | - Sarah Williams-Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, United States
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Ungvari Z, Tabák AG, Adany R, Purebl G, Kaposvári C, Fazekas-Pongor V, Csípő T, Szarvas Z, Horváth K, Mukli P, Balog P, Bodizs R, Ujma P, Stauder A, Belsky DW, Kovács I, Yabluchanskiy A, Maier AB, Moizs M, Östlin P, Yon Y, Varga P, Vokó Z, Papp M, Takács I, Vásárhelyi B, Torzsa P, Ferdinandy P, Csiszar A, Benyó Z, Szabó AJ, Dörnyei G, Kivimäki M, Kellermayer M, Merkely B. The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging. GeroScience 2024; 46:191-218. [PMID: 38060158 PMCID: PMC10828351 DOI: 10.1007/s11357-023-01018-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/11/2023] [Indexed: 12/08/2023] Open
Abstract
The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.
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Affiliation(s)
- Zoltan Ungvari
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Adam G Tabák
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- UCL Brain Sciences, University College London, London, UK
- Department of Internal Medicine and Oncology, Semmelweis University, Faculty of Medicine, Budapest, Hungary
| | - Roza Adany
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - György Purebl
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Csilla Kaposvári
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Vince Fazekas-Pongor
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Csípő
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Zsófia Szarvas
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Krisztián Horváth
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Mukli
- International Training Program in Geroscience/Healthy Aging Program, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Piroska Balog
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Robert Bodizs
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Peter Ujma
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Adrienne Stauder
- Institute of Behavioral Sciences, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Daniel W Belsky
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Illés Kovács
- Department of Ophthalmology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Ophthalmology, Weill Cornell Medical College, New York City, NY, USA
- Department of Clinical Ophthalmology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Healthy Longevity, National University Health System, Singapore, Singapore
- Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Mariann Moizs
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Ministry of Interior of Hungary, Budapest, Hungary
| | | | - Yongjie Yon
- WHO Regional Office for Europe, Copenhagen, Denmark
| | - Péter Varga
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Clinical Center, Semmelweis University, Budapest, Hungary
| | - Zoltán Vokó
- Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
| | - Magor Papp
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - István Takács
- UCL Brain Sciences, University College London, London, UK
| | - Barna Vásárhelyi
- Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Torzsa
- Department of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Ferdinandy
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, The Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltán Benyó
- Department of Translational Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Cerebrovascular and Neurocognitive Diseases Research Group, Budapest, Hungary
| | - Attila J Szabó
- First Department of Pediatrics, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Pediatrics and Nephrology Research Group, Semmelweis University, Budapest, Hungary
| | - Gabriella Dörnyei
- Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, London, UK
| | - Miklos Kellermayer
- Department of Biophysics and Radiation Biology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Bela Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Vera-Ponce VJ, Torres-Malca JR, Ramos W, Espinoza Rojas R, Guerra Valencia J, Loayza-Castro JA, Zuzunaga-Montoya FE, Zeñas-Trujillo GZ, Cruz-Ausejo L, De La Cruz-Vargas JA. Factors Associated with Symptoms of Depression among People with Obesity: Analysis of a 3-Year-Peruvian National Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20031816. [PMID: 36767183 PMCID: PMC9914351 DOI: 10.3390/ijerph20031816] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/24/2022] [Accepted: 01/04/2023] [Indexed: 05/25/2023]
Abstract
INTRODUCTION Obesity and depression contribute to the global burden of economic cost, morbidity, and mortality. Nevertheless, not all people with obesity develop depression. OBJECTIVE To determine the factors associated with depressive symptoms among people aged 15 or older with obesity from the National Demographic and Family Health Survey (ENDES in Spanish 2019-2021). METHODS Cross-sectional analytical study. The outcome of interest was the presence of depressive symptoms, assessed using the Patient Health Questionnaire-9 (PHQ-9). Crude (cPR) and adjusted (aPR) prevalence ratios were estimated using GLM Poisson distribution with robust variance estimates. RESULTS The prevalence of depression symptoms was 6.97%. In the multivariate analysis, a statistically significant association was found between depressive symptoms and female sex (PRa: 2.59; 95% CI 1.95-3.43); mountain region (PRa: 1.51; 95% CI 1.18-1.92); wealth index poor (PRa: 1.37; 95% CI 1.05-1.79, medium (PRa: 1.49; 95% CI 1.11-2.02), and rich (PRa: 1.65; 95% CI 1.21-2.26); daily tobacco use (PRa: 2.05, 95% CI 1.09-3.87); physical disability (PRa: 1.96, 95% CI 1.07-3.57); and a history of arterial hypertension (PRa: 2.05; 95% CI 1.63-2.55). CONCLUSION There are several sociodemographic factors (such as being female and living in the Andean region) and individual factors (daily use of tobacco and history of hypertension) associated with depressive symptoms in Peruvian inhabitants aged 15 or older with obesity. In this study, the COVID-19 pandemic was associated with an increase in depressive symptoms.
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Affiliation(s)
- Víctor Juan Vera-Ponce
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
| | - Jenny Raquel Torres-Malca
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
- Facultad de Psicología, Universidad Tecnológica del Perú, Lima 15046, Peru
| | - Willy Ramos
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
- Instituto de Investigaciones Clínicas, Universidad Nacional Mayor de San Marcos, Lima 15001, Peru
| | - Rubén Espinoza Rojas
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
| | - Jamee Guerra Valencia
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
- Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima 15314, Peru
| | - Joan A. Loayza-Castro
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
| | | | | | - Liliana Cruz-Ausejo
- Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru
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BERGET AM, MOEN VP, HUSTOFT M, EIDE GE, SKOUEN JS, STRAND LI, HETLEVIK Ø. Long-Term Change and Predictors of Change in Physical and Mental Function after Rehabilitation: A Multi-Centre Study. J Rehabil Med 2023; 55:jrm00358. [PMID: 36601734 PMCID: PMC9837623 DOI: 10.2340/jrm.v55.2809] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/03/2022] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE To investigate changes and predictors of change in physical and mental function over a 3-year period after rehabilitation. DESIGN Prospective cohort. PARTICIPANTS Patients, across diseases, living in western Norway, accepted for somatic specialized interprofessional rehabilitation (n = 984). METHODS Physical and mental function were assessed at admittance (baseline), and after 1 and 3 years using the Medical Outcome Study Short Form 36 (SF-36). Associations between changes in SF-36 component summary scores and sense of coherence, pain, disease group (musculoskeletal, neoplasm, cardiovascular, neurological, other), exercise habits and demographic variables were analysed using linear mixed modelling. RESULTS In the total group, mean (standard deviation) physical component summary scores improved by 2.9 (8.4) and 3.4 (9.3) points at 1 and 3 years, respectively. Mental component summary scores improved by 2.1 (9.7) and 1.6 (10.8) points. Improvement in physical component summary was significantly greater for patients with higher sense of coherence (b = 0.09, p = 0.001) and for the neoplasm disease group (b = 2.13, p = 0.046). Improvement in mental component summary was significantly greater for patients with low sense of coherence (b = -0.13, p = < 0.001) and higher level of education (b = 3.02, p = 0.0302). Interaction with age (physical component summary: b = 0.22, p = 0.039/mental component summary b = 0.51, p = 0.006) indicated larger effect at 1 year than at 3 years. CONCLUSION Physical and mental function improved in the total study group over the 3-year period. Sense of coherence at baseline was associated with improved physical and mental function, suggesting that coping resources are important in rehabilitation.
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Affiliation(s)
- Anne Mette BERGET
- Centre of Habilitation and Rehabilitation in Western Norway, Haukeland University Hospital,Department of Global Public Health and Primary Care, University of Bergen
| | - Vegard Pihl MOEN
- Centre of Habilitation and Rehabilitation in Western Norway, Haukeland University Hospital,Department of Health and Functioning, Western Norway University of Applied Sciences
| | - Merethe HUSTOFT
- Centre of Habilitation and Rehabilitation in Western Norway, Haukeland University Hospital,Department of Health and Functioning, Western Norway University of Applied Sciences
| | - Geir Egil EIDE
- Department of Global Public Health and Primary Care, University of Bergen,Centre for Clinical Research
| | - Jan Sture SKOUEN
- Department of Physical Medicine and Rehabilitation, Haukeland University Hospital, Bergen, Norway
| | - Liv Inger STRAND
- Department of Global Public Health and Primary Care, University of Bergen
| | - Øystein HETLEVIK
- Department of Global Public Health and Primary Care, University of Bergen
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Jatta S, Ian BS, Robert M. Inequalities in recovery or methodological artefact? A comparison of models across physical and mental health functioning. SSM Popul Health 2022; 17:101067. [PMID: 35284618 PMCID: PMC8914363 DOI: 10.1016/j.ssmph.2022.101067] [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: 09/22/2021] [Revised: 01/31/2022] [Accepted: 03/03/2022] [Indexed: 12/03/2022] Open
Abstract
Considerable attention has been paid to inequalities in health. More recently, focus has also turned to inequalities in ‘recovery’; with research, for example, suggesting that lower grade of employment is strongly associated with slower recovery from both poor physical and poor mental health. However, this research has tended to operationalise recovery as ‘return to baseline’, and we know less about patterns and predictors when recovery is situated as a ‘process’. This paper seeks to address this gap. Drawing on data from the UK Household Longitudinal Study, we operationalise recovery as both an ‘outcome’ and as a ‘process’ and compare patterns and predictors across the two models. Our analysis demonstrates that the determinants of recovery from poor health, measured by the SF-12, are robust, regardless of whether recovery is operationalised as an outcome or as a process. For example, being employed and having a higher degree were found to increase the odds of recovery both from poor physical and mental health functioning, when recovery was operationalised as an outcome. These variables were also important in distinguishing health functioning trajectories following a poor health episode. At one and the same time, our analysis does suggest that understandings of inequalities in recovery will depend in part on how we define it. When recovery is operationalised as a simple transition from poor health state to good, it loses sight of the fact that there may be inequalities (i) within a ‘poor health’ state, (ii) in how individuals are able to step into the path of recovery, and (iii) in whether health states are maintained over time. We therefore need to remain alert to the additional nuance in understanding which comes from situating recovery as a process; as well as possible methodological artefacts in population research which come from how recovery is operationalised. There is no consensus on what recovery is and how it should be operationalised. Understanding of inequalities in recovery across health conditions remains scarce. We operationalised recovery both as an outcome and as a process. We found robust inequalities in recovery across the two approaches. Considering recovery as a process revealed more nuanced patterns in inequalities.
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Chae WR, Schienkiewitz A, Du Y, Hapke U, Otte C, Michalski N. Comorbid depression and obesity among adults in Germany: Effects of age, sex, and socioeconomic status. J Affect Disord 2022; 299:383-392. [PMID: 34910960 DOI: 10.1016/j.jad.2021.12.025] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/03/2021] [Accepted: 12/10/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Depression and obesity are common health problems with major public health implications. These conditions frequently co-occur, adversely affecting the course of the other. The sociodemographic and socioeconomic risk factors for comorbid depression and obesity in the German adult population have not yet been reported. METHODS We analyzed the prevalence and sociodemographic and socioeconomic correlates of comorbid depression and obesity using cross-sectional data from the national German health interview and examination survey for adults (DEGS1; n = 7987) and its mental health module (DEGS1-MH; n = 4493). The Composite International Diagnostic Interview was used to diagnose major depressive disorder (CIDI-MDD). Sensitivity was analyzed using the self-reported depression measure and current depressive symptoms measured by Patient Health Questionnaire-9 (PHQ-9). Obesity was defined by body mass index calculated from measured data. RESULTS Prevalence of comorbid depression and obesity was 1.3% (95% CI 0.8-2.0) in men and 2.0% (95% CI 1.3-3.0) in women. We found significant sex differences in results from the self-reported depression measure and the PHQ-9, but not from the CIDI-MDD. Low socioeconomic status and poor social support were linked to a higher prevalence of comorbid depression and obesity among women. LIMITATIONS Severe depression may have been underreported. CONCLUSIONS Depression is statistically more prevalent in women than in men, which accounts for many of the sex differences in the prevalence of comorbid depression and obesity in our models. Targeted public health strategies need to be developed to prevent and treat comorbid depression and obesity in women with a low socioeconomic position.
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Affiliation(s)
- Woo Ri Chae
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany.
| | - Anja Schienkiewitz
- Department of Epidemiology and Health Monitoring, Division of Health Behaviour, Robert Koch Institute, Berlin, Germany
| | - Yong Du
- Department of Epidemiology and Health Monitoring, Physical Health Unit, Robert Koch Institute, Berlin, Germany
| | - Ulfert Hapke
- Department of Epidemiology and Health Monitoring, Mental Health Unit, Robert Koch Institute, Berlin, Germany
| | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany
| | - Niels Michalski
- Department of Epidemiology and Health Monitoring, Unit of Social Determinants of Health, Robert Koch Institute, Berlin, Germany
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Affiliation(s)
| | - Jennifer J Griggs
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, University of Michigan, Ann Arbor
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor
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Tao T, Shao R, Hu Y. The Effects of Childhood Circumstances on Health in Middle and Later Life: Evidence From China. Front Public Health 2021; 9:642520. [PMID: 33614591 PMCID: PMC7888477 DOI: 10.3389/fpubh.2021.642520] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 01/15/2021] [Indexed: 01/06/2023] Open
Abstract
Background: This study examined the relationship between childhood circumstances and health in middle and later life. We quantified how childhood circumstances contribute to health in later life, both directly and indirectly, through their effects on potential mediators. Methods: This study used three waves of data from the national longitudinal survey of the China Health and Retirement Longitudinal Study (CHARLS). The final model in this study included 7,476 eligible respondents aged 45 years and above. We constructed a simple health status measure based on the first principal component of CHARLS survey responses with 25 health-related information. It is a multi-dimensional measurement that comprehensively reflects the individual's healthy aging. We formulated childhood circumstances factors into five domains: childhood health and nutrition, childhood socioeconomic status, access to health care, parental genetics, and adverse childhood experiences. Ordered logit regression was conducted to analyze the relationship between health in middle and later life and childhood circumstances, with other explanatory variables controlled. Results: Controlling for educational attainment, personal income, and health status in the last wave, adults who experience good childhood health (poor as the base, coefficient 0.448, p < 0.01), and better family financial status (worse as the base, coefficient 0.173, p < 0.01) have significantly better health during their middle and later life, in comparison, being inconvenient to visit a doctor (coefficient −0.178, p < 0.01), and having two or three adverse childhood experiences (0 as the base, coefficient −0.148, p < 0.01) are significantly associated with poorer health. Childhood circumstances appear to act both through a lasting effect of initial health and financial status in childhood and through their impact on achievements in adulthood. Conclusion: Our findings suggest that investments in health during childhood not only contribute to health in later life but also dynamically improve an individual's educational attainment and personal income, as well as other life prospects. All these returns may extend far beyond childhood and continue throughout the lifespan.
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Affiliation(s)
- Tiantian Tao
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
| | - Rong Shao
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China
| | - Yuanjia Hu
- State Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
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Galenkamp H, van Oers H, Stronks K. To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study. J Public Health (Oxf) 2020; 42:e412-e420. [PMID: 31838505 PMCID: PMC7685859 DOI: 10.1093/pubmed/fdz173] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking. METHODS Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18-70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME). RESULTS Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (-0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment. CONCLUSION Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH.
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Affiliation(s)
- Henrike Galenkamp
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, 22660 1100 DD Amsterdam, The Netherlands
| | - Hans van Oers
- Tilburg School of Social and Behavioral Sciences, Tranzo Scientific Center for Care and Welfare, Tilburg University, 90153 5000 LE Tilburg, The Netherlands.,National Institute for Public Health and the Environment, 1 3720 BA Bilthoven, The Netherlands
| | - Karien Stronks
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, 22660 1100 DD Amsterdam, The Netherlands
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