Dataset Information

Combined Impact of Known Lifestyle Factors on Total and Cause-Specific Mortality among Chinese Men: A Prospective Cohort Study.

ABSTRACT: Impact of combined lifestyles on risk of mortality needs to be explored quantitatively. We aimed to evaluate the associations of combined lifestyle factors with total and cause-specific mortality in Chinese men. We used data from the Shanghai Men's Health Study (2002-2013), an on-going population-based prospective cohort study of men (aged 40 to 74 years). Four traditional unfavorable lifestyle factors were included: smoking, heavy alcohol use, unhealthy diet and physical inactivity. Cox proportional hazards models were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). Among about 61,480 men in the cohort, a total of 4,952 men died, of which 1,637 men died from cardiovascular diseases (CVD), 2,122 from cancer during a median of 9.29 years' follow-up. The HRs of men with four risk practices comparing to those with zero were 2.92 (95%CI: 2.53, 3.38) for all-cause mortality, 3.15 (95%CI: 2.44, 4.05) for CVD mortality, and 3.18 (95%CI: 2.55, 3.97) for cancer mortality. The population attributable risks (PARs) were 0.41, 0.40 and 0.38 for total, CVD and cancer mortality, accordingly. As combined unhealthy lifestyle behaviors had substantial impact on total and cause-specific mortality, promotion of healthy lifestyle should be a public health priority.

SUBMITTER: Zhang QL

PROVIDER: S-EPMC5509739 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Combined Impact of Known Lifestyle Factors on Total and Cause-Specific Mortality among Chinese Men: A Prospective Cohort Study.

Zhang Qing-Li QL Zhao Long-Gang LG Zhang Wei W Li Hong-Lan HL Gao Jing J Han Li-Hua LH Zheng Wei W Shu Xiao-Ou XO Xiang Yong-Bing YB

Scientific reports 20170713 1

Impact of combined lifestyles on risk of mortality needs to be explored quantitatively. We aimed to evaluate the associations of combined lifestyle factors with total and cause-specific mortality in Chinese men. We used data from the Shanghai Men's Health Study (2002-2013), an on-going population-based prospective cohort study of men (aged 40 to 74 years). Four traditional unfavorable lifestyle factors were included: smoking, heavy alcohol use, unhealthy diet and physical inactivity. Cox proport ...[more]

PMID: 28706246

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Project description:BackgroundAlthough cigarette smoking, excessive alcohol drinking, obesity, and several other well-studied unhealthy lifestyle-related factors each have been linked to the risk of multiple chronic diseases and premature death, little is known about the combined impact on mortality outcomes, in particular among Chinese and other non-Western populations. The objective of this study was to quantify the overall impact of lifestyle-related factors beyond that of active cigarette smoking and alcohol consumption on all-cause and cause-specific mortality in Chinese women.Methods and findingsWe used data from the Shanghai Women's Health Study, an ongoing population-based prospective cohort study in China. Participants included 71,243 women aged 40 to 70 years enrolled during 1996-2000 who never smoked or drank alcohol regularly. A healthy lifestyle score was created on the basis of five lifestyle-related factors shown to be independently associated with mortality outcomes (normal weight, lower waist-hip ratio, daily exercise, never exposed to spouse's smoking, higher daily fruit and vegetable intake). The score ranged from zero (least healthy) to five (most healthy) points. During an average follow-up of 9 years, 2,860 deaths occurred, including 775 from cardiovascular disease (CVD) and 1,351 from cancer. Adjusted hazard ratios for mortality decreased progressively with an increasing number of healthy lifestyle factors. Compared to women with a score of zero, hazard ratios (95% confidence intervals) for women with four to five factors were 0.57 (0.44-0.74) for total mortality, 0.29 (0.16-0.54) for CVD mortality, and 0.76 (0.54-1.06) for cancer mortality. The inverse association between the healthy lifestyle score and mortality was seen consistently regardless of chronic disease status at baseline. The population attributable risks for not having 4-5 healthy lifestyle factors were 33% for total deaths, 59% for CVD deaths, and 19% for cancer deaths.ConclusionsIn this first study, to our knowledge, to quantify the combined impact of lifestyle-related factors on mortality outcomes in Chinese women, a healthier lifestyle pattern-including being of normal weight, lower central adiposity, participation in physical activity, nonexposure to spousal smoking, and higher fruit and vegetable intake-was associated with reductions in total and cause-specific mortality among lifetime nonsmoking and nondrinking women, supporting the importance of overall lifestyle modification in disease prevention. Please see later in the article for the Editors' Summary.

Project description:BackgroundThe combined impact of healthy lifestyle factors on total mortality among elder Chinese is unclear. This study aimed to investigate the overall impact of lifestyle factors on total mortality in a senior Chinese population, and determine whether these associations were consistent in the presence of different characteristics, including physical comorbidities.MethodsThe Chinese Longitudinal Healthy Longevity Survey (CLHLS) is a large population-based prospective cohort study in 22 of 31 provinces from mainland China. We included 15,163 adults aged ≥65 years recruited from 1998- to 2002 and followed-up until 2014. A healthy lifestyle score was calculated considering five lifestyle factors (exercise, smoking, dietary diversity, body mass index and drinking). The scores ranged from zero to five points and were classified into the following three categories: unhealthy (0-1 point), intermediate (2-3 points) and healthy (4-5 points). Cox proportional hazards regression analyses were used to assess the associations between the combined healthy lifestyle score and total mortality, adjusting for demographic characteristics and physical comorbidities, as appropriate. Stratification analyses and interaction analyses were further performed.ResultsAmong the 15,163 participants, the mean age (SD) was 86.2 (11.6) years. During an average follow-up period of 12.5 (SD = 3.9) years, 9655 deaths occurred. The adjusted hazard ratios (HRs) of total mortality decreased as the number of healthy lifestyle factors increased. Compared to the unhealthy lifestyle group, the healthy lifestyle group had a HR and 95% CI of 0.78 and 0.72-0.83. The population attributable risk of total death among those without a healthy lifestyle was 25.2%. A healthier lifestyle pattern was associated with a lower total mortality risk among individuals with different severities of physical comorbidities, although the associations were stronger among those with fatal physical comorbidities (p-interaction < .001).ConclusionsIn this large-scale study, a healthier lifestyle measured by regular exercise participation, never smoking, never drinking, good dietary diversity and normal weight, was inversely associated with total mortality, regardless of physical comorbidity status. These findings support the necessity of multiple lifestyle modifications to prevent premature death in both general elderly populations and those with physical comorbidities.

Project description:Objective To evaluate the combined associations of diet, physical activity, moderate alcohol consumption, and smoking with body weight on risk of all cause and cause specific mortality.Design Longitudinal study with up to 32 years of follow-up.Setting Nurses' Health Study (1980-2012) and Health Professionals Follow-up Study (1986-2012).Participants 74 582 women from the Nurses' Health Study and 39 284 men from the Health Professionals Follow-up Study who were free from cardiovascular disease and cancer at baseline.Main outcome measures Exposures included body mass index (BMI), score on the alternate healthy eating index, level of physical activity, smoking habits, and alcohol drinking while outcome was mortality (all cause, cardiovascular, cancer). Cox proportional hazard models were used to calculate the adjusted hazard ratios of all cause, cancer, and cardiovascular mortality with their 95% confidence intervals across categories of BMI, with 22.5-24.9 as the reference.Results During up to 32 years of follow-up, there were 30 013 deaths (including 10 808 from cancer and 7189 from cardiovascular disease). In each of the four categories of BMI studied (18.5-22.4, 22.5-24.9, 25-29.9, ≥30), people with one or more healthy lifestyle factors had a significantly lower risk of total, cardiovascular, and cancer mortality than individuals with no low risk lifestyle factors. A combination of at least three low risk lifestyle factors and BMI between 18.5-22.4 was associated with the lowest risk of all cause (hazard ratio 0.39, 95% confidence interval 0.35 to 0.43), cancer (0.40, 0.34 to 0.47), and cardiovascular (0.37, 0.29 to 0.46) mortality, compared with those with BMI between 22.5-24.9 and none of the four low risk lifestyle factors.Conclusion Although people with a higher BMI can have lower risk of premature mortality if they also have at least one low risk lifestyle factor, the lowest risk of premature mortality is in people in the 18.5-22.4 BMI range with high score on the alternate healthy eating index, high level of physical activity, moderate alcohol drinking, and who do not smoke. It is important to consider diet and lifestyle factors in the evaluation of the association between BMI and mortality.

Project description:Background: Lifestyles generally change across the life course yet no prospective study has examined direct associations between healthy lifestyle trajectories and subsequent cardiovascular disease (CVD) or all-cause mortality risk. Methods: Healthy lifestyle score trajectories during 2006-2007, 2008-2009, and 2010-2011 were collated through latent mixture modeling. An age-scale based Cox proportional hazard regression model was implemented to calculate hazard ratios (HR) with corresponding 95% confidence intervals (CI) for developing CVD or all-cause mortality across healthy lifestyle trajectories. Results: 52,248 participants were included with four distinct trajectories identified according to healthy lifestyle scores over 6 years i.e., low-stable (n = 11,248), high-decreasing (n = 7,374), low-increasing (n = 7,828), and high-stable (n = 25,799). Compared with the low-stable trajectory, the high-stable trajectory negatively correlated with lower subsequent risk of developing CVD (HR, 0.73; 95% CI, 0.65-0.81), especially stroke (HR, 0.70; 95% CI, 0.62-0.79), and all-cause mortality (HR, 0.89; 95% CI, 0.80-0.99) under a multivariable-adjusted model. A protective effect for CVD events was observed only in men and in those without diabetes, while a reduced risk of all-cause mortality was observed only in those older than 60 years, though interactions were not statistically significant. Marginally significant interactions were observed between the changing body mass index (BMI) group, healthy lifestyle score trajectories and stratified analysis. This highlighted an inverse correlation between the high-stable trajectory and CVD in BMI decreased and stable participants as well as all-cause mortality in the stable BMI group. The low-increasing trajectory also had reduced risk of CVD only when BMI decreased and in all-cause mortality only when BMI was stable. Conclusions: Maintaining a healthy lifestyle over 6 years corresponds with a 27% lower risk of CVD and an 11% lower risk in all-cause mortality, compared with those engaging in a consistently unhealthy lifestyle. The benefit of improving lifestyle could be gained only after BMI change is considered further. This study provides further evidence from China around maintaining/improving healthy lifestyles to prevent CVD and early death.

Project description:OBJECTIVE:To investigate the association of predicted lean body mass, fat mass, and body mass index (BMI) with all cause and cause specific mortality in men. DESIGN:Prospective cohort study. SETTING:Health professionals in the United States PARTICIPANTS: 38?006 men (aged 40-75 years) from the Health Professionals Follow-up Study, followed up for death (1987-2012). MAIN OUTCOME MEASURES:All cause and cause specific mortality. RESULTS:Using validated anthropometric prediction equations previously developed from the National Health and Nutrition Examination Survey, lean body mass and fat mass were estimated for all participants. During a mean of 21.4 years of follow-up, 12?356 deaths were identified. A J shaped association was consistently observed between BMI and all cause mortality. Multivariable adjusted Cox models including predicted fat mass and lean body mass showed a strong positive monotonic association between predicted fat mass and all cause mortality. Compared with those in the lowest fifth of predicted fat mass, men in the highest fifth had a hazard ratio of 1.35 (95% confidence interval 1.26 to 1.46) for mortality from all causes. In contrast, a U shaped association was found between predicted lean body mass and all cause mortality. Compared with those in the lowest fifth of predicted lean body mass, men in the second to fourth fifths had 8-10% lower risk of mortality from all causes. In the restricted cubic spline models, the risk of all cause mortality was relatively flat until 21 kg of predicted fat mass and increased rapidly afterwards, with a hazard ratio of 1.22 (1.18 to 1.26) per standard deviation. For predicted lean body mass, a large reduction of the risk was seen within the lower range until 56 kg, with a hazard ratio of 0.87 (0.82 to 0.92) per standard deviation, which increased thereafter (P for non-linearity <0.001). For cause specific mortality, men in the highest fifth of predicted fat mass had hazard ratios of 1.67 (1.47 to 1.89) for cardiovascular disease, 1.24 (1.09 to 1.43) for cancer, and 1.26 (0.97 to 1.64) for respiratory disease. On the other hand, a U shaped association was found between predicted lean body mass and mortality from cardiovascular disease and cancer. However, a strong inverse association existed between predicted lean body mass and mortality from respiratory disease (P for trend <0.001). CONCLUSIONS:The shape of the association between BMI and mortality was determined by the relation between two body components (lean body mass and fat mass) and mortality. This finding suggests that the "obesity paradox" controversy may be largely explained by low lean body mass, rather than low fat mass, in the lower range of BMI.

Dataset Information

Combined Impact of Known Lifestyle Factors on Total and Cause-Specific Mortality among Chinese Men: A Prospective Cohort Study.

Publications

Combined Impact of Known Lifestyle Factors on Total and Cause-Specific Mortality among Chinese Men: A Prospective Cohort Study.

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