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Impact of weight variability on mortality among Korean men and women: a population based study.

ABSTRACT: The health consequences of weight fluctuation have been controversial and little-studied within Asian populations. We aimed to determine the effect of weight variability on mortality using Korean National Health Insurance Service - National Health Screening Cohort. Weight variability was defined as the average successive variability of body mass index (BMI) of the first (2002 and 2003), second (2004 and 2005), and third (2006 and 2007) health examinations. Then, we used Cox regression models to estimate the effect of weight variability on mortality. Compared to participants within the first quintile (lowest) of weight variability, those within the fifth quintile (highest) had increased the risk of death from all causes (hazard ratio, HR 1.33, 95% confidence interval, CI 1.26-1.41), cardiovascular disease (HR 1.31, 95% CI 1.12-1.53), cancer (HR 1.11, 95% CI 1.02-1.22), and other causes (HR 1.58, 95% CI 1.45-1.73). The risk-increasing effect of weight variability on mortality was preserved after excluding past and current smokers as well as those with pre-existing cardiovascular disease or cancer. In conclusion, high weight variability may lead to elevated risk of death even among healthy never smokers. Therefore, maintaining a steady weight should be recommended to benefit from reduced risk of death.

SUBMITTER: Choi D

PROVIDER: S-EPMC6606749 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Impact of weight variability on mortality among Korean men and women: a population based study.

Choi Daein D Choi Seulggie S Park Sang Min SM

Scientific reports 20190702 1

The health consequences of weight fluctuation have been controversial and little-studied within Asian populations. We aimed to determine the effect of weight variability on mortality using Korean National Health Insurance Service - National Health Screening Cohort. Weight variability was defined as the average successive variability of body mass index (BMI) of the first (2002 and 2003), second (2004 and 2005), and third (2006 and 2007) health examinations. Then, we used Cox regression models to ...[more]

PMID: 31266987

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Project description:BACKGROUND:Increasing evidence suggests that sleep duration is associated with risks of various diseases including type 2 diabetes, cardiovascular disease (CVD), and certain types of cancer. However, the relationship with mortality is not clear, particularly in non-European populations. In this study, we investigated the association between sleep duration and mortality in a population-based prospective cohort of Korean adults. METHODS:This analysis included 34,264 participants (14,704 men and 19,560 women) of the Korea National Health and Nutrition Examination Survey (KNHANES) 2007-2013 who agreed to mortality follow-up through December 31, 2016. Sleep duration was self-reported at baseline and was categorized into four groups: ?4, 5-6, 7-8, and???9?h/day. Cox proportional hazards models were performed to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the associations with mortality (all-cause as well as CVD- and cancer-specific), adjusting for potential confounders. RESULTS:During up to 9.5?years of follow-up, we identified a total of 1028 deaths. We observed the lowest mortality at 5-6?h/day sleep. Compared with 7-8?h/day of sleep, short (?4?h/day) and long (?9?h/day) sleep were associated with a 1.05-fold (95% CI?=?0.79-1.39) and 1.47-fold (95% CI?=?1.15-1.87) higher all-cause mortality, respectively. After additional adjustment for self-rated health, the positive association with short sleep disappeared (HR?=?0.99, 95% CI?=?0.75-1.32) and the association with long sleep was slightly attenuated (HR?=?1.38, 95% CI?=?1.08-1.76). Long sleep was also nonsignificantly positively associated with both cancer-mortality (HR?=?1.30, 95% CI?=?0.86-1.98) and CVD-mortality (HR?=?1.27, 95% CI?=?0.73-2.21). There was no statistically significant evidence for nonlinearity in the relationships between sleep duration and mortality (all-cause as well as CVD- and cancer-specific). Effect modification by age, sex, education, and occupation were not statistically significant. CONCLUSIONS:Our findings suggest that long sleep duration is associated with an increased all-cause mortality in Korean adults.

Project description:BackgroundIn Russia, cardiovascular disease (CVD) mortality is high and the mortality gap between men and women is large. Conventional risk factors cannot explain these phenomena. Ventricular arrhythmia (VA) is an important contributor to the death toll in community-based populations. The study examines the prevalence and the mortality impacts of VA in men and women and the role of VA in the male mortality excess at older ages.MethodsThis is a secondary analysis of data from the Stress, Aging, and Health in Russia (SAHR) study that was fielded in 2007-9 in Moscow (1800 individuals, mean age 68.8 years), with mean mortality follow-up of 7.4 years (416 deaths, 248 CVD deaths). Indicators reflecting the frequency and the complexity of VA were derived from 24-h ambulatory ECG recordings. Other covariates were: socio-demographic characteristics, conventional risk factors, markers of inflammation, reported myocardial infarction, and stroke. The impacts of VA and other variables on CVD and all-cause mortality among men and women were estimated with the proportional hazard models. We assessed the contributions of VAs to the male-female mortality gap using hazard models that do and do not include groups of the predictors. Logistic models were used to assess the associations between VA and other biomarkers.ResultsVAs were about twice as prevalent among men as among women. In both sexes, they were significantly associated with CVD and all-cause mortality independently of conventional risk factors. The highest hazard ratios (HRs) for CVD death were found for the runs of ventricular premature complexes (VPCs) HR = 2.45, 95% CI 1.63-3.68 for men and 2.75, 95% CI 1.18-6.40 for women. The mortality impacts of the polymorphic VPCs were significant among men only (HR = 1.50, 95% CI 1.08-2.07). VA indicators can potentially explain 12.3% and 9.1% of the male-female gaps in mortality from CVD and all causes, respectively. VAs were associated with ECG-registered ischemic problems and reported MI, particularly among men.ConclusionsVA indicators predicted mortality in older Muscovites independently of other risk factors, and have the potential to explain a non-trivial share of the excess male mortality. The latter may be related to more severe coronary problems in men compared to women.

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Impact of weight variability on mortality among Korean men and women: a population based study.

Publications

Impact of weight variability on mortality among Korean men and women: a population based study.

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