ArticleInternational journal of environmental research and public health2021
Association of Dietary Pattern, Lifestyle and Chronotype with Metabolic Syndrome in Elderly-Lessons from the Population-Based Hamburg City Health Study.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sleep and the Mediterranean diet: A systematic review and meta-analysis.Sleep medicine reviews · 2025Pooled it
- Occupational exposures and coronary heart disease in the Hamburg City Health Study (HCHS) - a cross-sectional study.BMC public health · 2025Article
- Article
- Integration of Time-Based Recommendations with Current Pediatric Health Behavior Guidelines: Implications for Obesity Prevention and Treatment in Youth.Current obesity reports · 2022Review
- Mediterranean Diet and Atrial Fibrillation: Lessons Learned from the AFHRI Case-Control Study.Nutrients · 2022Article
- Effect of a Community Gerontology Program on the Control of Metabolic Syndrome in Mexican Older Adults.Healthcare (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
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Abstract
In aging populations, the increasing prevalence of metabolic syndrome and the resulting elevated risk of developing non-communicable diseases is a major challenge for worldwide health care. The elderly population-based Hamburg City Health Study (HCHS) allows investigating the association in the relevant age group 45-74 years. For 3513 of 10,000 participants, self-reported information on dietary patterns (DASH, MEDAS), chronotype, lifestyle, and data on metabolic syndrome parameters was available. Overall, having a "low" DASH score was a statistically significant risk factor (OR 1.23; 95% CI 1.01-1.48). Only for "late" chronotype, a slightly elevated OR (1.06) was found, but no statistically significant effect on the outcome of metabolic syndrome. Still, considering chronotype vastly improved the model. However, a trend of an increasing predicted probability from early to late chronotype was found for participants with low adherence to the DASH diet. Future research should focus on options for prevention in persons with late chronotype, so they can be supported better in adherence to, e.g., DASH diet to lower their risk.
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