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Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population.

ABSTRACT: BACKGROUND:Americans have a shorter life expectancy compared with residents of almost all other high-income countries. We aim to estimate the impact of lifestyle factors on premature mortality and life expectancy in the US population. METHODS:Using data from the Nurses' Health Study (1980-2014; n=78?865) and the Health Professionals Follow-up Study (1986-2014, n=44?354), we defined 5 low-risk lifestyle factors as never smoking, body mass index of 18.5 to 24.9 kg/m2, ?30 min/d of moderate to vigorous physical activity, moderate alcohol intake, and a high diet quality score (upper 40%), and estimated hazard ratios for the association of total lifestyle score (0-5 scale) with mortality. We used data from the NHANES (National Health and Nutrition Examination Surveys; 2013-2014) to estimate the distribution of the lifestyle score and the US Centers for Disease Control and Prevention WONDER database to derive the age-specific death rates of Americans. We applied the life table method to estimate life expectancy by levels of the lifestyle score. RESULTS:During up to 34 years of follow-up, we documented 42?167 deaths. The multivariable-adjusted hazard ratios for mortality in adults with 5 compared with zero low-risk factors were 0.26 (95% confidence interval [CI], 0.22-0.31) for all-cause mortality, 0.35 (95% CI, 0.27-0.45) for cancer mortality, and 0.18 (95% CI, 0.12-0.26) for cardiovascular disease mortality. The population-attributable risk of nonadherence to 5 low-risk factors was 60.7% (95% CI, 53.6-66.7) for all-cause mortality, 51.7% (95% CI, 37.1-62.9) for cancer mortality, and 71.7% (95% CI, 58.1-81.0) for cardiovascular disease mortality. We estimated that the life expectancy at age 50 years was 29.0 years (95% CI, 28.3-29.8) for women and 25.5 years (95% CI, 24.7-26.2) for men who adopted zero low-risk lifestyle factors. In contrast, for those who adopted all 5 low-risk factors, we projected a life expectancy at age 50 years of 43.1 years (95% CI, 41.3-44.9) for women and 37.6 years (95% CI, 35.8-39.4) for men. The projected life expectancy at age 50 years was on average 14.0 years (95% CI, 11.8-16.2) longer among female Americans with 5 low-risk factors compared with those with zero low-risk factors; for men, the difference was 12.2 years (95% CI, 10.1-14.2). CONCLUSIONS:Adopting a healthy lifestyle could substantially reduce premature mortality and prolong life expectancy in US adults.

SUBMITTER: Li Y

PROVIDER: S-EPMC6207481 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population.

Li Yanping Y Pan An A Wang Dong D DD Liu Xiaoran X Dhana Klodian K Franco Oscar H OH Kaptoge Stephen S Di Angelantonio Emanuele E Stampfer Meir M Willett Walter C WC Hu Frank B FB

Circulation 20180701 4

<h4>Background</h4>Americans have a shorter life expectancy compared with residents of almost all other high-income countries. We aim to estimate the impact of lifestyle factors on premature mortality and life expectancy in the US population.<h4>Methods</h4>Using data from the Nurses' Health Study (1980-2014; n=78 865) and the Health Professionals Follow-up Study (1986-2014, n=44 354), we defined 5 low-risk lifestyle factors as never smoking, body mass index of 18.5 to 24.9 kg/m<sup>2</sup>, ≥30 ...[more]

PMID: 29712712

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Project description:BackgroundUnderstanding the influence of healthy lifestyle behaviors on population-level life satisfaction is few known in the aging population, especially in low- and middle-income countries in Asia. The objective of our study was to analyse the association of lifestyle behaviors with life satisfaction in a nationally-representative sample of older persons in Thailand.MethodsThe sample was obtained from a baseline phase of a nationally-representative, longitudinal survey of the Thai population. The study employed a multistage sampling technique to recruit study participants age 60 years or older from the five geographic regions of Thailand. In this study, 1460 adults age 60 years or older from 3670 households successfully completed face-to-face interviews by trained staff with a structured questionnaire. Information on self-reported life satisfaction, lifestyle behaviors, and sociodemographic characteristics were collected via survey questionnaire. Life satisfaction was assessed using the Scale with Life Satisfaction (SWLS) [1 to 7] response. Binary logistic regression analysis was used in investigating the association between lifestyle behaviors and life satisfaction.ResultsThe median age of the participants was 68.1 (60-93 years). The overall mean life satisfaction score was 24.2 ± 5.6. Regular physical activity (at least 30 min per day) and sufficient fruit and vegetable (FV) intake (at least 400 g per day) were significantly associated with older people's life satisfaction (p ≤ 0.001 and p ≤ 0.10, respectively) after controlling all sociodemographic variables. Participants who had regular physical activity were 1.7 times as likely to be satisfied as those with less physical activity (95% CI 1.284-2.151). Participants with sufficient daily FV intake were 1.3 times as likely to be satisfied with life as those with insufficient daily FV (95% CI 0.994-1.723). Life satisfaction score also differed significantly by sociodemographic characteristics (sex, age, marital status, educational attainment) and presence of chronic disease.ConclusionsTo improve the life satisfaction of older persons, taking into account sociodemographic characteristics of the population and absence of chronic disease, the need for promotion of healthy lifestyle behaviors, especially regular physical activity and sufficient FV intake, must be recommended.

Project description:BackgroundThere is a current lack of consensus on defining metabolically healthy obesity (MHO). Limited data on dietary and lifestyle factors and MHO exist. The aim of this study is to compare the prevalence, dietary factors and lifestyle behaviours of metabolically healthy and unhealthy obese and non-obese subjects according to different metabolic health criteria.MethodCross-sectional sample of 1,008 men and 1,039 women aged 45-74 years participated in the study. Participants were classified as obese (BMI ? 30 kg/m(2)) and non-obese (BMI < 30 kg/m(2)). Metabolic health status was defined using five existing MH definitions based on a range of cardiometabolic abnormalities. Dietary composition and quality, food pyramid servings, physical activity, alcohol and smoking behaviours were examined.ResultsThe prevalence of MHO varied considerably between definitions (2.2% to 11.9%), was higher among females and generally increased with age. Agreement between MHO classifications was poor. Among the obese, prevalence of MH was 6.8% to 36.6%. Among the non-obese, prevalence of metabolically unhealthy subjects was 21.8% to 87%. Calorie intake, dietary macronutrient composition, physical activity, alcohol and smoking behaviours were similar between the metabolically healthy and unhealthy regardless of BMI. Greater compliance with food pyramid recommendations and higher dietary quality were positively associated with metabolic health in obese (OR 1.45-1.53 unadjusted model) and non-obese subjects (OR 1.37-1.39 unadjusted model), respectively. Physical activity was associated with MHO defined by insulin resistance (OR 1.87, 95% CI 1.19-2.92, p = 0.006).ConclusionA standard MHO definition is required. Moderate and high levels of physical activity and compliance with food pyramid recommendations increase the likelihood of MHO. Stratification of obese individuals based on their metabolic health phenotype may be important in ascertaining the appropriate therapeutic or intervention strategy.

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Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population.

Publications

Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population.

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