A systematic review of temporal body weight and dietary intake patterns in adults: implications on future public health nutrition interventions to promote healthy weight

Tan, Sze‐Yen; Curtis, Annie R; Leech, Rebecca M.; Ridgers, Nicola D.; Crawford, David; McNaughton, Sarah A.

doi:10.1007/s00394-021-02791-x

Cited by 2 publications

(1 citation statement)

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“…For example, many papers are reporting that blood pressure rises in winter [9]. Many papers have also concluded that central obesity, dyslipidemia, and insulin resistance exhibit seasonal variations [10][11][12][13]. Some studies also investigated the factors behind seasonal variation.…”

Section: Introductionmentioning

confidence: 99%

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Seto,

Toki,

Kitora

et al. 2024

Environ. Health Prev. Med.

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Background It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups. Methods A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG). Results We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations. Conclusions This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.23-00216 .

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Section: Introductionmentioning

confidence: 99%

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Seto,

Toki,

Kitora

et al. 2024

Environ. Health Prev. Med.

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Impacts of temperature and solar radiation changes in northern Europe on key population health behaviors: a scoping review of reviews

Wennman,

Partonen

2023

Scand J Public Health

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Aim: Climate change threatens health directly as well as indirectly through impacts on health-related behaviors. Physical activity, nutrition and sleep are key health-related behaviors for population health. We aimed at elucidating the impacts of climate change which emerge gradually on these three key health-related behaviors, particularly focusing on scenarios and projections relevant to people living in the northern Europe. Methods: We conducted a systematic literature search in three different databases in January 2023 to identify English language review articles summarizing the effects of climate change on either physical activity, nutrition, sleep, or their combination. Results: We identified 15 review articles on the topic. Data on climate change impacts on nutrition and sleep were sparse, and those on physical activity were heterogeneous. The climate in northern Europe will become warmer and sunnier in summer as well as warmer and darker in winter, which will probably increase the level of physical activity, but decrease the consumption of fruits and vegetables, as well as increase the occurrence of sleep disturbances in a population. Conclusions: The anticipated changes in physical activity, nutrition and sleep driven by climate change influence population health and call for grass-roots action plans for adaptation.

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A systematic review of temporal body weight and dietary intake patterns in adults: implications on future public health nutrition interventions to promote healthy weight

Cited by 2 publications

References 50 publications

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

Impacts of temperature and solar radiation changes in northern Europe on key population health behaviors: a scoping review of reviews

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