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Neeland IJ, Lim S, Tchernof A, Gastaldelli A, Rangaswami J, Ndumele CE, Powell-Wiley TM, Després JP. Metabolic syndrome. Nat Rev Dis Primers 2024; 10:77. [PMID: 39420195 DOI: 10.1038/s41572-024-00563-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/17/2024] [Indexed: 10/19/2024]
Abstract
The metabolic syndrome (MetS) is a multiplex modifiable risk factor for cardiovascular disease, type 2 diabetes mellitus and other health outcomes, and is a major challenge to clinical practice and public health. The rising global prevalence of MetS, driven by urbanization, sedentary lifestyles and dietary changes, underlines the urgency of addressing this syndrome. We explore the complex underlying mechanisms, including genetic predisposition, insulin resistance, accumulation of dysfunctional adipose tissue and ectopic lipids in abdominal obesity, systemic inflammation and dyslipidaemia, and how they contribute to the clinical manifestations of MetS. Diagnostic approaches vary but commonly focus on abdominal obesity (assessed using waist circumference), hyperglycaemia, dyslipidaemia and hypertension, highlighting the need for population-specific and phenotype-specific diagnostic strategies. Management of MetS prioritizes lifestyle modifications, such as healthy dietary patterns, physical activity and management of excess visceral and ectopic adiposity, as foundational interventions. We also discuss emerging therapies, including new pharmacological treatments and surgical options, providing a forward-looking perspective on MetS research and care. This Primer aims to inform clinicians, researchers and policymakers about MetS complexities, advocating for a cohesive, patient-centred management and prevention strategy. Emphasizing the multifactorial nature of MetS, this Primer calls for integrated public health efforts, personalized care and innovative research to address this escalating health issue.
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Affiliation(s)
- Ian J Neeland
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Division of Cardiovascular Medicine, University Hospitals Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
| | - André Tchernof
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Québec, Québec, Canada
| | - Amalia Gastaldelli
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Janani Rangaswami
- Division of Nephrology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Chiadi E Ndumele
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tiffany M Powell-Wiley
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Jean-Pierre Després
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Québec, Québec, Canada.
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, Québec, Québec, Canada.
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Gholami A, Doustmohammadian A, Shamshirgaran SM, Aminisani N, Azimi-Nezhad M, Abasi H, Hariri M. Association Between Metabolic Syndrome and Health-Related Quality of Life in Older Adults: Findings from the IRanian Longitudinal Study on Ageing. Metab Syndr Relat Disord 2024; 22:575-582. [PMID: 38959090 DOI: 10.1089/met.2023.0049] [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] [Indexed: 07/05/2024] Open
Abstract
Objectives: There are some studies without consensus on the association between metabolic syndrome (MetS) and health-related quality of life (HRQoL) and few studies among elderly participants; therefore, the aim of this study is evaluating the association between MetS and HRQoL between elderly participants after adjusting for possible confounding factors. Methods: A cross-sectional analysis was conducted with the data from baseline phase of the IRanian Longitudinal Study on Ageing. The MetS diagnosis was conducted based on the National Cholesterol Education Program Adult Treatment Panel III guidelines. The participants were 3452 subjects aged ≥60 years with and without MetS. The Prospective Epidemiological Research Studies in Iran version of the SF-12 questionnaire was used to examine subjects' perspectives on their well-being and general health level. The association between MetS and HRQoL was evaluated through multivariable linear regression model after adjusting for possible covariates. Results: MetS independently had an inverse association with subscales of HRQoL including physical functioning, physical problems, general health, social functioning, and emotional problems, even after fully adjusting for studied confounding factors. An inverse association was also observed between MetS and both mental component summary and physical component summary in the fully adjusted model. Conclusion: Older adults with MetS had a relatively worse physical and mental HRQoL in comparison with individuals without MetS. Independent of any underlying factors, the inverse association of MetS with HRQoL emphasizes the necessity of routine screening and treatment of MetS in older populations.
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Affiliation(s)
- Ali Gholami
- Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran
- Department of Epidemiology and Biostatistics, School of Public Health, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Azam Doustmohammadian
- Gastrointestinal and Liver Disease Research Center (GILDRC), Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | | | - Nayyereh Aminisani
- Healthy Ageing Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Mohsen Azimi-Nezhad
- Healthy Ageing Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Hamid Abasi
- Public Health Department, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Mitra Hariri
- Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran
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Bjelica B, Wohnrade C, Osmanovic A, Schreiber-Katz O, Schuppner R, Greten S, Petri S. Metabolic syndrome is common in adults with 5q-spinal muscular atrophy and impacts quality of life and fatigue. Muscle Nerve 2024; 70:257-264. [PMID: 38872508 DOI: 10.1002/mus.28183] [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: 10/11/2023] [Revised: 05/27/2024] [Accepted: 06/01/2024] [Indexed: 06/15/2024]
Abstract
INTRODUCTION/AIMS Spinal muscular atrophy (SMA) is a multisystem disorder. We assessed metabolic syndrome (MetS) prevalence in adults with SMA and its association with motor function, quality of life (QoL), fatigue, and depression. METHODS MetS was diagnosed using 2009 consensus criteria. Hammersmith Functional Motor Scale Expanded (HFMSE), Revised Upper Limb Module (RULM), Fatigue Severity Scale (FSS), Beck Depression Inventory (BDI), and 36-Item Short Form Health Survey (SF-36) were recorded and correlations between muscle function, depression, fatigue, QoL, and MetS were analyzed. RESULTS We included 36 individuals (18 males; mean age: 38.7 ± 14.6 years). MetS was present in 25.0%. The most common component of MetS was central obesity (69.7%). Nearly half of the SMA individuals exhibited at least one abnormal lipid level result. Individuals with MetS more frequently were SMA type 3 (77.8% vs. 37.0%, p = .02) and had higher levels of fatigue (48.4 ± 6.7 vs. 39.5 ± 11.6, p = .03) than those without MetS. No associations of the presence of MetS with ambulatory status or HFMSE/RULM scores were observed. SMA individuals with MetS scored significantly lower in mental and social domains of QoL and total SF-36 score (p = .04). We observed weak to moderate correlations between the presence of MetS and SMA type, presence of comorbidities, QoL, and fatigue. DISCUSSION The frequency of MetS was modestly higher among adults with SMA than in the general population, particularly in SMA type 3. MetS was associated with reduced QoL and increased fatigue. Larger studies are needed to fully understand the significance of MetS in adults with SMA.
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Affiliation(s)
- Bogdan Bjelica
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Camilla Wohnrade
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Alma Osmanovic
- Department of Neurology, Hannover Medical School, Hannover, Germany
- Essen Center for Rare Diseases (EZSE), University Hospital Essen, Essen, Germany
| | | | - Ramona Schuppner
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Stephan Greten
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
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Baenas I, Camacho-Barcia L, Granero R, Razquin C, Corella D, Gómez-Martínez C, Castañer-Niño O, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibáñez N, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Jiménez-Murcia S, Dalsgaard S, Garcia-Arellano A, Babio N, Sorli JV, Lassale C, García-de-la-Hera M, Gómez-García E, Zulet MA, Konieczna J, Martín-Peláez S, Tojal-Sierra L, Basterra-Gortari FJ, de Las Heras-Delgado S, Portoles O, Muñoz-Pérez MÁ, Arenas-Larriva AP, Compañ-Gabucio L, Eguaras S, Shyam S, Fitó M, Baños RM, Salas-Salvadó J, Fernández-Aranda F. Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population. J Endocrinol Invest 2024; 47:1405-1418. [PMID: 38218741 PMCID: PMC11142971 DOI: 10.1007/s40618-023-02278-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/07/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVES To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up. METHODS n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control. RESULTS The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up. CONCLUSIONS This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.
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Affiliation(s)
- I Baenas
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Doctoral Program in Medicine and Translational Research, University of Barcelona, 08007, Barcelona, Spain
| | - L Camacho-Barcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
| | - R Granero
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department de Psicobiologia I Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - C Razquin
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - D Corella
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Gómez-Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Castañer-Niño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - J A Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - Á M Alonso-Gómez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - J Wärnberg
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - J Vioque
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - D Romaguera
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - J López-Miranda
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - R Estruch
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - F J Tinahones
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29590, Málaga, Spain
| | - J Lapetra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Seville, Spain
| | - J L Serra-Majem
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas de Gran Canaria, Spain
| | - N Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (IBS.GRANADA), 18012, Granada, Spain
| | - J A Tur
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma, Spain
| | - V Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - X Pintó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Universidad de Barcelona, 08908, Barcelona, Spain
| | - J J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071, Jaén, Spain
| | - P Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - J Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - C Vázquez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, 28024, Madrid, Spain
| | - L Daimiel
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28668, Madrid, Spain
| | - E Ros
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Lipid Clinic, Hospital Clínic, 08036, Barcelona, Spain
| | - S Jiménez-Murcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain
| | - S Dalsgaard
- NCRR-National Centre for Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8210, Aarhus, Denmark
- CIRRAU-Centre for Integrated Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
| | - A Garcia-Arellano
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - N Babio
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - J V Sorli
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Lassale
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Barcelona Institute for Global Health (ISGlobal), 08036, Barcelona, Spain
| | - M García-de-la-Hera
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - E Gómez-García
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - J Konieczna
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - S Martín-Peláez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - L Tojal-Sierra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - F J Basterra-Gortari
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, 31008, Pamplona, Spain
| | - S de Las Heras-Delgado
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Portoles
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - M Á Muñoz-Pérez
- Unitat de Suport a la Recerca en Atenció Primaria de Barcelona. IDIAP Jordi Gol. Primary Care Division, Institut Català de La Salut, 08007, Barcelona, Spain
| | - A P Arenas-Larriva
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - L Compañ-Gabucio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - S Eguaras
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - S Shyam
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - M Fitó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
| | - R M Baños
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Personality, Evaluation and Psychological Treatment of the University of Valencia, 46010, Valencia, Spain
| | - J Salas-Salvadó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain.
| | - F Fernández-Aranda
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain.
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain.
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain.
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5
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Kim T. Quality of Life in Metabolic Syndrome Patients Based on the Risk of Obstructive Sleep Apnea. Behav Sci (Basel) 2024; 14:127. [PMID: 38392480 PMCID: PMC10885961 DOI: 10.3390/bs14020127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 02/24/2024] Open
Abstract
Despite the impact of metabolic syndrome (MetS) and obstructive sleep apnea (OSA) on a sizeable proportion of the global population, the difference in the quality of life (QoL) between a group without risk factors for OSA and a group with risk factors for OSA among individuals with MetS is currently unclear. This study aimed to identify the determinants of QoL in patients with MetS with and without OSA risk factors and to analyze differences between these two groups. Data were extracted from the 2020 Korea National Health and Nutrition Examination Survey (KNHANES). The Rao-Scott χ2 test was performed to evaluate differences in baseline characteristics based on OSA risk factors. A t-test was performed to evaluate differences in the baseline QoL, and linear regression analysis was performed to identify the effect on the QoL of the two groups. The factors affecting QoL in the low-risk group included age, education level, and depression. The factors affecting QoL in the high-risk group were physical activity and depression. These results suggest that nursing interventions should be devised according to patients' characteristics to help improve their QoL.
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Affiliation(s)
- Taehui Kim
- Department of Nursing Science, Joongbu University, Chungnam 32713, Republic of Korea
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6
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Ford ML, Choh AC, Gonzalez B, Lindheim SR, Stanczyk FZ, McGinnis LK, Czerwinski SA, Lee M. Anti-Müllerian hormone levels are associated with skeletal maturity in adolescent girls in the Fels Longitudinal Study. RESEARCH SQUARE 2023:rs.3.rs-3342941. [PMID: 37841846 PMCID: PMC10571635 DOI: 10.21203/rs.3.rs-3342941/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
The role of anti-Müllerian hormone (AMH), a potential marker of the hypothalamic-pituitary-ovarian axis, is not well established in adolescent females. Most studies use secondary sexual characteristics or chronological age as predictors for AMH. Skeletal maturity, an indicator of bone development, has not been examined to predict AMH. This study sought to examine patterns of change in AMH in relation to skeletal maturity. Demographics, anthropometry, hand-wrist radiographs, and cardiometabolic risk factors from 88 females (212 observations), between the ages of 8 to 18 years from the Fels Longitudinal Study were used in this study. AMH was analyzed using ELISA from stored frozen serum samples. Generalized linear mixed effect modeling was used. In the stepwise regression models, log-transformed AMH (AMHlog) was regressed on relative skeletal age as the skeletal maturity indicator (calculated as chronological age minus skeletal age) and adjusted for chronological age, adiposity, and cardiometabolic risk factors. Skeletal maturity significantly predicted lower AMHlog (β= -0.073, SE=0.032, p=0.023). Glucose was significantly associated with decreases in AMHlog (β= -0.008, SE=0.004, p=0.044). Chronological age modeled as a cubic function was not significant. AMH and skeletal maturity may provide correlated information on growth and pubertal status in adolescent females.
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Affiliation(s)
| | - Audrey C Choh
- University of Texas Health Science Center at Houston
| | | | | | | | | | | | - Miryoung Lee
- University of Texas Health Science Center at Houston
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7
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Odler B, Huemer M, Schwaiger E, Borenich A, Kurnikowski A, Krall M, Hafner-Giessauf H, Eleftheriadis G, Bachmann F, Faura A, José Pérez-Sáez M, Pascual J, Budde K, Rosenkranz AR, Hecking M, Eller K. Influence of Early Postoperative Basal Insulin Treatment and Post-Transplant Diabetes Mellitus Risk on Health-Related Quality of Life in Kidney Transplant Recipients-An Analysis of Data From a Randomized Controlled Trial. Transpl Int 2023; 36:11370. [PMID: 37600749 PMCID: PMC10432682 DOI: 10.3389/ti.2023.11370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023]
Abstract
Health-related quality of life (HRQOL) improves after kidney transplantation (KT) but declines over time. Studies on the effect of early postoperative basal insulin therapy on HRQOL after KT, especially KTRs at high risk of developing post-transplant diabetes mellitus (PTDM) are missing. Data from a randomized controlled trial on 148 non-diabetic KTRs were analyzed. HRQOL using the KDQOL-SF™ was compared in KTRs who either received early postoperative basal insulin therapy or standard-of-care and in KTRs at risk of developing PTDM. Determinants of HRQOL outcomes were investigated using multivariable linear regression analysis. In total, 148 patients completed the KDQOL-SF at baseline. Standard-of-care or early basal insulin therapy after KT did not influence HRQOL. Overall, KT improved the mental (MCS) and physical component summary (PCS) scores at 6-month after KT, which remained stable during further follow-up visits. However, patients at high-risk for PTDM had significantly greater impairment in the PCS score (baseline, 24 months) without differences in MCS scores. In the multivariable regression analysis, allograft function and hemoglobin levels were associated with decreased MCS and PCS scores, respectively. A limitation of the study is the fact that only around 50% of the ITP-NODAT study patients participated in the HRQOL evaluation. Still, our data clearly show that early basal insulin therapy does not affect HRQOL after KT but is negatively influenced by classical clinical factors and PTDM-risk at 24 months after KT. The latter might be influenced by older age.
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Affiliation(s)
- Balazs Odler
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Matthias Huemer
- Palliative Care Unit Associated With the Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Elisabeth Schwaiger
- Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria
- Department of Internal Medicine II, Kepler University Hospital, Med Campus III, Linz, Austria
| | - Andrea Borenich
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Amelie Kurnikowski
- Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria
| | - Marcell Krall
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | | | - Georgios Eleftheriadis
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Friderike Bachmann
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Faura
- Department of Nephrology, Hospital del Mar, Institute Mar for Medical Research, Barcelona, Spain
| | - María José Pérez-Sáez
- Department of Nephrology, Hospital del Mar, Institute Mar for Medical Research, Barcelona, Spain
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Institute Mar for Medical Research, Barcelona, Spain
| | - Klemens Budde
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander R. Rosenkranz
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Manfred Hecking
- Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria
| | - Kathrin Eller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
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8
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Puchner E, Platzer M, Dalkner N, Schwalsberger K, Lenger M, Fellendorf FT, Unterrainer HF, Schwerdtfeger A, Reininghaus B, Reininghaus EZ. Effects of Metabolic Syndrome and Sex on Stress Coping Strategies in Individuals with Depressive Disorder. Metabolites 2023; 13:metabo13050652. [PMID: 37233693 DOI: 10.3390/metabo13050652] [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: 02/27/2023] [Revised: 04/26/2023] [Accepted: 05/08/2023] [Indexed: 05/27/2023] Open
Abstract
Metabolic syndrome (MetS) is related to depression and contributes to reduced life expectancy in individuals with mental disorders. Stress coping strategies are important factors in the development and maintenance of depressive disorders and have been related to metabolic disturbances. The aim of this study was to determine whether there is a difference in the use of positive (re- and devaluation, distraction, and control) and negative stress coping strategies in relation to patients' MetS. A sample of 363 individuals (n female = 204, n male = 159) with a diagnosis of depression was measured with the Stress Coping Style Questionnaire and the Beck Depression Inventory. In addition, we collected data on MetS (waist circumference, triglycerides, high-density lipoprotein, fasting glucose/diabetes, blood pressure/hypertonia) according to the International Diabetes Federation. A 2 × 2 design including Mets (with vs. without) and sex (female vs. male) was performed to test for differences in stress coping strategies. Individuals with depression and MetS scored higher on distraction strategies than depressed individuals without MetS (p < 0.01, corrected with false discovery rate). In addition, we found sex differences in stress coping strategies indicating that women with depression scored higher on distraction strategies (p < 0.001, FDR corrected), as well as negative strategies (p < 0.001, FDR corrected), than men. No significant interaction between MetS and sex was found regarding the higher value of stress coping strategies. Findings suggest that individuals with depression and MetS used distraction strategies to a higher amount to cope with stress, which could be stress eating in some cases, than those without MetS. Women with depressive disorders had higher values than men on other coping strategies in our sample of individuals with depression. A better understanding of MetS and sex-specific differences in stress coping strategies might help to plan more effective preventive strategies and personalized treatment options for depression.
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Affiliation(s)
- Eva Puchner
- Institute of Psychology, University of Graz, 8010 Graz, Austria
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Karin Schwalsberger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Melanie Lenger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Frederike T Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Human-Friedrich Unterrainer
- Institute of Psychology, University of Graz, 8010 Graz, Austria
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
- Institute of Religious Studies, University of Vienna, 1010 Vienna, Austria
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, 1110 Vienna, Austria
- Faculty of Psychotherapy Science, Sigmund Freud University, 1020 Vienna, Austria
| | | | - Bernd Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria
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9
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Kim HB, Wolf BJ, Kim JH. Association of metabolic syndrome and its components with the risk of depressive symptoms: A systematic review and meta-analysis of cohort studies. J Affect Disord 2023; 323:46-54. [PMID: 36427648 PMCID: PMC10252993 DOI: 10.1016/j.jad.2022.11.049] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 11/02/2022] [Accepted: 11/19/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The purpose of this meta-analysis was to quantitatively analyze the association between metabolic syndrome (MetS) and the risk of depressive symptoms. METHODS Three electronic databases (PubMed, Embase, and PsycINFO) were searched for articles published through February 15, 2022. Cohort studies evaluating the association between MetS and depressive symptoms were selected for inclusion in this study. A random-effects model was used to evaluate the pooled estimates of MetS, including each of its components, associated with depressive symptoms. RESULTS A total of 11 cohort studies were selected including >2.65 million participants. There was a significant association between MetS and depressive symptoms risk, albeit with a high degree of heterogeneity (relative risk = 1.29, 95 % confidence interval: 1.12-1.48; I2 = 79.3 %). This association was consistently significant in Western countries, but it was not significant in Asian countries. When stratified by sex, age, and geographical region, MetS and its components exhibited varying degrees of association with depressive symptoms. CONCLUSIONS MetS is a risk factor for depressive symptoms. Further large-scale prospective cohort studies are required to confirm our findings.
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Affiliation(s)
- Hong-Bae Kim
- Department of Family Medicine, Myongji Hospital, Hanyang University, College of Medicine, Goyang, Republic of Korea
| | - Bethany J Wolf
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, United States
| | - Jung-Ha Kim
- Department of Family Medicine, Chung-ang University Medical Center, Chung-ang University, College of Medicine, Seoul, Republic of Korea.
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10
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Dhingra R, He F, Al-Shaar L, Saunders EFH, Chinchilli VM, Yanosky JD, Liao D. Cardiovascular disease burden is associated with worsened depression symptoms in the U.S. general population. J Affect Disord 2023; 323:866-874. [PMID: 36566933 DOI: 10.1016/j.jad.2022.12.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/19/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cardiovascular disease (CVD) and depression are the leading causes of disability in the U.S. Using five cycles (2009-2018) of the U.S. National Health and Nutrition Examination Survey, we examined the cross-sectional association between CVD risk factor burden and depression severity in nonpregnant adults with no history of CVD events. METHODS With at least 3000 participants per cycle, the overall N was 18,175. CVD risk factors were ascertained through self-report, lab tests, or medications. The sum of hypertension, diabetes, dyslipidemia, and current smoking represented a CVD risk score variable (range: 0-4). Depression severity was assessed using scores on the 9-item patient health questionnaire: 0-9 (none-mild) and 10-27 (moderate-to-severe). Logistic regression models were performed to investigate the association between CVD risk score categories and moderate-to-severe depression. Cycle-specific odds ratios (OR) were meta-analyzed to obtain a pooled OR (95 % CI) (Q-statistic p > 0.05). RESULTS Compared to participants with no CVD risk factors, participants with risk scores of 1, 2, 3, and 4, had 1.28 (0.92-1.77), 2.18 (1.62-2.94), 2.53 (1.86-3.49), 2.97 (1.67-5.31) times higher odds of moderate-to-severe depression, respectively, after adjusting for socio-demographics and antidepressant use (linear trend p < 0.0001). This relationship persisted after additionally adjusting for lifestyle variables. LIMITATIONS NHANES data is cross-sectional and self-reported, thus preventing causal assessments and leading to potential recall bias. CONCLUSIONS Among U.S. adults, CVD risk factor burden was associated with worsened depression symptoms. Integrated mental and physical healthcare services could improve risk stratification among persons with CVD and depression, possibly reducing long-term disability and healthcare costs.
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Affiliation(s)
- Radha Dhingra
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fan He
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Laila Al-Shaar
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Erika F H Saunders
- Department of Psychiatry and Behavioral Health, Penn State College of Medicine and Penn State Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
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11
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Lohse B, Ramirez A, Hickey J, Bailey-Davis L, Drees B, Masters KS, Ruder EH, Trabold N. Changes in Depressive Symptoms, Perceived Stress, and Food Security Among Study Participants With Metabolic Syndrome During a COVID-19-Mandated Research Pause. Prev Chronic Dis 2022; 19:E88. [PMID: 36580415 PMCID: PMC9809392 DOI: 10.5888/pcd19.220206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION We explored how depressive symptoms, perceived stress, and food security of people with metabolic syndrome (MetS) changed during the COVID-19 pandemic. METHODS An online survey was administered from October 2019 through March 2020, to participants in a 2-year lifestyle intervention trial to reverse MetS; the survey was repeated during the COVID-19 pandemic. Outcomes were a change in depressive symptoms, perceived stress, and food security as measured by the Patient Health Questionnaire-8 (PHQ-8), Perceived Stress Scale, and US Department of Agriculture's 10-item Adult Food Security Module. We analyzed changes in outcomes with measures of association, paired t tests, repeated measures, and independent t tests. RESULTS Survey respondents (N = 132) were mostly female (67%), White (70%), and middle-aged, with a median income of $86,000. Frequency of depressive symptoms increased from baseline to follow-up and the increase was related to lower mean (SD) baseline vitality (44.4 [20.7] vs 60.3 [18.9]; P = .01) and mental health decline (71.0 [14.3] vs 82.0 [10.4]; P = .002). Mean (SD) perceived stress was significantly higher at baseline than follow-up (18.5 [6.4] vs 14.9 [7.2]; P < .001). Food security increased from 83% at baseline to 90% at follow-up (P < .001). Movement to or continued food insecurity (n = 13) tended to be associated with a racial or ethnic minority group (P = .05). CONCLUSION A sample at high risk for COVID-19 did not experience increased stress or food insecurity, but demonstrated increased depressive symptoms after the onset of the COVID-19 pandemic, with some baseline susceptibility.
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Affiliation(s)
- Barbara Lohse
- Wegmans School of Health and Nutrition, Rochester Institute of Technology, 180 Lomb Memorial Dr, Rochester, NY 14623.
| | - Anahi Ramirez
- Department of Psychology, University of Missouri–Kansas City, Missouri
| | - Jenna Hickey
- Wegmans School of Health and Nutrition, Rochester Institute of Technology, Rochester, New York
| | - Lisa Bailey-Davis
- Department of Population Health Sciences, Geisinger Health, Danville, Pennsylvania
| | - Betty Drees
- Department of Biomedical and Health Informatics, University of Missouri–Kansas City, Missouri,Graduate School of the Stowers Institute for Medical Research, Kansas City, Missouri
| | - Kevin S. Masters
- Department of Psychology and Anschutz Health and Wellness Center, University of Colorado Denver, Denver, Colorado
| | - Elizabeth H. Ruder
- Wegmans School of Health and Nutrition, Rochester Institute of Technology, Rochester, New York
| | - Nicole Trabold
- Wegmans School of Health and Nutrition, Rochester Institute of Technology, Rochester, New York
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12
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Chan JKY, Ku CW, Loy SL, Godfrey KM, Fan Y, Chua MC, Yap F. Effects of an integrated mobile health lifestyle intervention among overweight and obese women planning for pregnancy in Singapore: protocol for the single-arm healthy early life moments in Singapore (HELMS) study. BMJ Open 2022; 12:e061556. [PMID: 36523242 PMCID: PMC9748919 DOI: 10.1136/bmjopen-2022-061556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Changes in social and lifestyle factors have led to increasing rates of metabolic and mental health problems. We hypothesise that a transformation of the current maternal and child health system is required to deliver interventions that effectively promote a good start to life in populations at risk of metabolic and mental health problems. We describe a single-arm implementation study 'Healthy Early Life Moments in Singapore', which aims to examine whether an integrated lifestyle intervention initiated at preconception and continuing throughout pregnancy and postpartum periods can improve the metabolic and mental health of overweight and obese women, and improve early child growth. METHODS AND ANALYSIS This single-centre implementation trial is conducted at KK Women's and Children's Hospital, Singapore. The trial aims to recruit 500 women, aged 21-40 years with a body mass index of 25-40 kg/m2 who plan to get pregnant, with interventions delivered before conception, until 18 months postdelivery. Primary outcomes comprise pregnancy rate, maternal metabolic and mental health status. Secondary outcomes include maternal reproductive health, pregnancy outcomes and offspring growth. The intervention will be delivered using a mobile health application, to provide anticipatory guidance, raise awareness and guide goal-setting on lifestyle behaviours that include diet, physical activity, mental wellness and sleep hygiene from preconception to postpartum. Women who conceive within 1 year of recruitment will be followed through pregnancy and studied with their infants at six-time points during the first 18 months of life. Questionnaires, anthropometric measurements and multiple biosamples will be collected at each visit. ETHICS AND DISSEMINATION The study has been approved by the Centralised Institutional Review Board of SingHealth (2021/2247). Written informed consent will be obtained from all participants. The findings will be published in peer-reviewed journals and disseminated to national and international policy makers. TRIAL REGISTRATION NUMBER NCT05207059.
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Affiliation(s)
- Jerry Kok Yen Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
- Duke-NUS Medical School, Singapore
- NUS Yong Loo Lin School of Medicine, Singapore
| | - Chee Wai Ku
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
- Duke-NUS Medical School, Singapore
| | - See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
- Duke-NUS Medical School, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Yiping Fan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
| | - Mei Chien Chua
- Duke-NUS Medical School, Singapore
- Department of Neonatology, KK Women's and Children's Hospital, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
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13
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Aldridge E, Schubert KO, Pathirana M, Sierp S, Leemaqz SY, Roberts CT, Dekker GA, Arstall MA. A prospective registry analysis of psychosocial and metabolic health between women with and without metabolic syndrome after a complicated pregnancy. BMC Womens Health 2022; 22:461. [PMID: 36404332 PMCID: PMC9677702 DOI: 10.1186/s12905-022-02035-y] [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: 05/13/2022] [Accepted: 10/27/2022] [Indexed: 11/22/2022] Open
Abstract
PURPOSE Pregnancy complications affect over one quarter of Australian pregnancies, and this group of mothers is vulnerable and more likely to experience adverse cardiometabolic health outcomes in the postpartum period. Metabolic syndrome is common in this population and may be associated with postpartum mental health issues. However, this relationship remains poorly understood. To compare the differences in psychosocial parameters and mental health outcomes between women with metabolic syndrome and women without metabolic syndrome 6 months after a complicated pregnancy. METHODS This study is prospective registry analysis of women attending a postpartum healthy lifestyle clinic 6 months following a complicated pregnancy. Mental health measures included 9-item Patient Health Questionnaire (PHQ-9), 7-item Generalised Anxiety Disorder questionnaire (GAD-7), self-reported diagnosed history of depression, anxiety and/or other psychiatric condition, and current psychotropic medication use. RESULTS Women with metabolic syndrome reported significantly more subjective mental health concerns, were more likely to have a history of depression and other psychiatric diagnoses and were more likely prescribed psychotropic medications. However, there were no significant differences in PHQ-9 and GAD-7 scores. CONCLUSION Amongst new mothers who experienced complications of pregnancy, those with metabolic syndrome represent a particularly vulnerable group with regards to psychosocial disadvantage and mental health outcomes. These vulnerabilities may not be apparent when using common standardised cross-sectional mental health screening tools such as PHQ-9 and GAD-7.
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Affiliation(s)
- Emily Aldridge
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,grid.1010.00000 0004 1936 7304Robinson Research Institute, University of Adelaide, Adelaide, South Australia Australia ,Department of Cardiology, Northern Adelaide Local Health Network, Elizabeth Vale, South Australia Australia
| | - K. Oliver Schubert
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,Division of Mental Health, Northern Adelaide Local Health Network, Elizabeth Vale, South Australia Australia ,Headspace Early Psychosis, Sonder, Adelaide, South Australia Australia
| | - Maleesa Pathirana
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,grid.1010.00000 0004 1936 7304Robinson Research Institute, University of Adelaide, Adelaide, South Australia Australia
| | - Susan Sierp
- Department of Cardiology, Northern Adelaide Local Health Network, Elizabeth Vale, South Australia Australia
| | - Shalem Y. Leemaqz
- grid.1014.40000 0004 0367 2697Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia Australia
| | - Claire T. Roberts
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,grid.1010.00000 0004 1936 7304Robinson Research Institute, University of Adelaide, Adelaide, South Australia Australia ,grid.1014.40000 0004 0367 2697Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia Australia
| | - Gustaaf A. Dekker
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,grid.1010.00000 0004 1936 7304Robinson Research Institute, University of Adelaide, Adelaide, South Australia Australia ,Department of Obstetrics & Gynaecology, Northern Adelaide Local Health Network, Elizabeth Vale, South Australia Australia
| | - Margaret A. Arstall
- grid.1010.00000 0004 1936 7304Adelaide Medical School, University of Adelaide, Adelaide, South Australia Australia ,Department of Cardiology, Northern Adelaide Local Health Network, Elizabeth Vale, South Australia Australia
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Yu H, Wen Q, Lv J, Sun D, Ma Y, Man S, Yin J, Tong M, Wang B, Yu C, Li L. Association between Dietary Patterns Reflecting C-Reactive Protein and Metabolic Syndrome in the Chinese Population. Nutrients 2022; 14:nu14132566. [PMID: 35807747 PMCID: PMC9268474 DOI: 10.3390/nu14132566] [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: 06/03/2022] [Revised: 06/17/2022] [Accepted: 06/19/2022] [Indexed: 02/01/2023] Open
Abstract
It is unclear how the dietary patterns reflecting C-reactive protein (CRP) affect metabolic syndrome (MetS) in the Chinese population. To examine the effect of the dietary pattern reflecting CRP with MetS, a cross-sectional study was based on the health checkup data from the Beijing MJ Health Screening Centers between 2008 and 2018. The CRP-related dietary pattern was derived from 17 food groups using reduced-rank regression. Participants were divided into five groups according to the quintiles of dietary pattern score. Multivariate logistic regression was then applied to estimate the odds ratios (OR) and 95% confidence intervals (CIs) for the quintiles of diet pattern score related to MetS and its four components. Of the 90,130 participants included in this study, 11,209 had MetS. A CRP-related dietary pattern was derived, characterized by a higher consumption of staple food, fresh meat, processed products, and sugar-sweetened beverages but a lower intake of honey and jam, fruits, and dairy products. Compared with participants in the lowest quintile (Q1), participants in the higher quintiles were associated with increased risks of MetS in a dose−response manner after adjustment for potential confounders (p for linear trend < 0.001), the ORs for Q2 to Q5 were 1.10 (95% CI: 1.02−1.19), 1.14 (95% CI: 1.05−1.22), 1.23 (95% CI: 1.15−1.33), and 1.49 (95% CI: 1.38−1.61), respectively. Moreover, the effects were stronger among individuals aged 50 years or older. A CRP-related dietary pattern was associated with the risk of MetS. It provides new insights that dietary intervention to achieve a lower inflammatory level could potentially prevent MetS.
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Affiliation(s)
- Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
| | - Qiaorui Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
| | - Yuan Ma
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
- MJ Health Care Group, Shanghai 200041, China;
| | - Sailimai Man
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
- MJ Health Care Group, Shanghai 200041, China;
| | | | - Mingkun Tong
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
- MJ Health Care Group, Shanghai 200041, China;
| | - Bo Wang
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
- MJ Health Care Group, Shanghai 200041, China;
- Correspondence: (B.W.); (C.Y.)
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
- Correspondence: (B.W.); (C.Y.)
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; (H.Y.); (Q.W.); (J.L.); (D.S.); (S.M.); (L.L.)
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China; (Y.M.); (M.T.)
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Gangireddy VGR, Pilkerton C, Xiang J, Tinajero R, Ashcraft AM. Hepatic Fibrosis and Steatosis in Metabolic Syndrome. J Obes Metab Syndr 2022; 31:61-69. [PMID: 35283365 PMCID: PMC8987451 DOI: 10.7570/jomes21062] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/29/2021] [Accepted: 12/12/2021] [Indexed: 12/13/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a group of factors associated with increased risks of cardiovascular disease and overall mortality. Nonalcoholic fatty liver disease (NAFLD) is a common disorder that has been shown to cause hepatic steatosis and fibrosis. The relationship between NAFLD and MetS appears to be bidirectional, but very few studies have examined the role of MetS in hepatic steatosis and fibrosis. The present study investigated the relationships between MetS and its components and the severity of hepatic fibrosis and steatosis, and fibrosis independent of steatosis. Methods The study was a cross-sectional population-based survey of 4,678 National Health and Nutrition Examination Survey participants from 2017 to 2018 in the United States. Hepatic fibrosis and steatosis were measured using liver elastography. The MetS components were assessed using demographic, examination, laboratory, and self-reported data. Results Using survey-weighted population estimates, 26% of the population had steatosis, 7.5% had fibrosis, and 3.3% had fibrosis without steatosis. The adjusted odds ratio for any level of steatosis was 4.12 times higher (95% confidence interval [CI], 3.16-5.37) and any level of fibrosis was 3.34 times higher (95% CI, 2.26-4.94) among participants with MetS than those without. The adjusted odds ratio for fibrosis without steatosis is 2.67 times higher (95% CI, 1.47-4.87) among participants with MetS than those without. Conclusion The presence of MetS significantly increases the risk of hepatic fibrosis and steatosis, providing evidence for MetS to be considered an additional independent risk factor for hepatic fibrosis together with other known etiologies.
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Affiliation(s)
| | - Courtney Pilkerton
- Department of Family Medicine, West Virginia University, Morgantown, WV, USA
| | - Jun Xiang
- Department of Family Medicine, West Virginia University, Morgantown, WV, USA
| | - Ruben Tinajero
- Department of Family Medicine, West Virginia University, Morgantown, WV, USA
| | - Amie M Ashcraft
- Department of Family Medicine, West Virginia University, Morgantown, WV, USA
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Comparative Analysis of the Quality of Life Scales Parameters in Patients with Combination of Stable Ischemic Heart Disease and Metabolic Syndrome. Fam Med 2021. [DOI: 10.30841/2307-5112.5-6.2021.253007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Modern epidemiological studies confirm that comorbid diseases and conditions can have significant impact on diagnostic and treatment of the underlying disease. The problem of the comorbidy of stable coronary heart disease (SCHD) and metabolic syndrome (MS) has high medical and social significance, need high costs for diagnosis and treatment, and leads to decreased of quality of life (QOL). QOL is an important indicator of the health status of patients, which comprehensively characterizes human physical, psychological, emotional and social functioning.
The objective: to conduct a comparative analysis of the QOL of patients with combination of SCAD and MS versus patients with isolated SCHD.
Materials and methods. The study included 102 patients: 52 people with MS in combination with SCAD and 50 patients with SCHD only. There were 42 (51.2%) men (mean age 49.8 ± 5.3 years), and 40 (48.8%) women (mean age 51.6 ± 6.7 years). The QoL score was assessed by general medical questionnaire – the Medical Outcomes Study 36-Item (SF-36), in which all scales form two indicators: mental and physical health and a specialized questionnaire for patient with stable angina pectoris – SAQ (Seattle Angina Questionnaire). The diagnosis of SCHD with functional class (FC) assessment was performed by European Society of Cardiology criteria. MS was established if three out of five diagnostic criteria were met.
Results. Patients with comorbid MS and SCHD demonstrated significantly lower QoL scores, both in psychological and physical components of health (according to the SF-36 questionnaire) compared to patients with SCHD alone (p <0.05). An analysis of the SAQ questionnaire data also showed significantly lower points in group of patients with NAS and SCHD combination compared to the group of patients with isolated SCHD (in total, by 8.76%; p <0.05).
Conclusion. Patients with metabolic syndrome in combination with stable coronary heart disease (SCHD) had a statistically significantly lower level of quality of life according to the evaluation by both SF-36 nonspecific questionnaire and the SAQ specific questionnaire comparing to group of patients with isolated SCAD.
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Datta Banik S, Avila-Nava A, Lugo R, Chim Aké R, Gutiérrez Solis AL. Association between low-grade of inflammation and hyperuricemia in adults with metabolic syndrome in Yucatan, Mexico. Can J Diabetes 2021; 46:369-374. [DOI: 10.1016/j.jcjd.2021.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 11/24/2021] [Accepted: 11/28/2021] [Indexed: 11/26/2022]
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Chen MZ, Wong MWK, Lim JY, Merchant RA. Frailty and Quality of Life in Older Adults with Metabolic Syndrome - Findings from the Healthy Older People Everyday (HOPE) Study. J Nutr Health Aging 2021; 25:637-644. [PMID: 33949631 DOI: 10.1007/s12603-021-1609-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Metabolic syndrome (MetS) and frailty are both associated with increased morbidity and mortality. Frailty is associated with reduced quality of life (QoL) but association of QoL with MetS have produced mixed results suggesting that other factors such as disease burden, obesity and depression may have a more significant influence. We aim to investigate the demographics of frail participants with MetS, and relationship between frailty and QoL in MetS. METHODS Cross-sectional population study involving 292 older adults ≥ 65 years with MetS. MetS was defined using the Modified ATP III for Asians which requires the presence of 3 or more of the following 5 components 1) waist circumference ≥ 90cm for males or ≥ 80cm for females, 2) TG ≥ 150mg/dL, 3) HDLc < 40mg/dL in males or < 50mg/dL in females, 4) blood pressure ≥ 130/85mmHg or use of anti-hypertensive medication, and 5) fasting plasma glucose ≥ 100mg/dL or use of pharmacological treatment for diabetes mellitus. Data were collected on demographics, frailty (FRAIL), QoL (Euroqol-5D), perceived health, functional status, cognition, Timed-Up-and-Go (TUG), and hand-grip strength (HGS). RESULTS 40.4% of the participants were pre-frail (MetSprefrail) and 7.2% were frail (MetSfrail). MetSfrail were significantly older, had lower education level, higher polypharmacy burden and higher prevalence of diabetes. The prevalence of at least 1 activity of daily living impairment was 4 times higher, and depression 9 times higher than their robust counterparts. MetSfrail also had longer TUG, higher prevalence of poor grip strength and poor perceived health. After adjusting for age, gender and education, MetSfrail was significantly associated with much higher odds of EQ-5D moderate to extreme problems with mobility (Odds Ratio (OR) =10.99, CI 2.62-46.14), usual activities (OR=37.82, CI 3.77-379.04) and pain (OR=10.79, CI 3.18-36.62). EQ-5D Index Value and Perceived Health improved by 0.1 (Mean Difference (MD) =0.07, CI 0.04-0.10) and 6.0 (MD=6.01, CI 3.29-8.73) respectively as frailty status improved. CONCLUSION Frailty in MetS is associated with depression, polypharmacy, greater functional impairment, poorer QoL and perceived health. Frailty screening and personalized management is crucial in MetS as frailty may be a mediator for negative outcomes in MetS, and frailty may be reversible.
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Affiliation(s)
- M Z Chen
- Associate Professor Reshma A Merchant, Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore 119228, , Telephone number: +65 6779 5555
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