OBJECTIVE: To evaluate the effect of baseline combination of 6 lifestyle factors on all-cause mortality. METHODS: A total of 62,106 Japanese men and women aged 40-79 years were followed for 12.5 years on average. Hazard ratios and 95% confidence intervals (CIs) of all-cause mortality in relation to healthy lifestyle factors (not currently smoking, not heavily drinking, walking 1 h or more per day, sleeping 6.5 to 7.4 h per day, eating green-leafy vegetables almost daily and BMI between 18.5 and 24.9) were calculated from proportional-hazards regression models. We also estimated population-attributable fractions of death to address the impact of potential lifestyle modifications on mortality. RESULTS: Until 2003, 8497 deaths were observed. Age-adjusted HR of all-cause mortality for the group with 6 healthy lifestyle factors was 0.42 (95% CI: 0.32-0.56) among men and 0.49 (0.39-0.60) among women, respectively, compared with the group with 0-2 healthy lifestyle factors. Even at ages 60-79 years, a healthy lifestyle has a major impact on mortality. Had the subjects achieved even a 1-point increment in their lifestyle scores, death rates of 24.7% among men and 18.5% among women could have been reduced. CONCLUSION: We found an inverse association between baseline combination of 6 healthy lifestyle factors and all-cause mortality as well as its impact on preventable fraction of death. Our results also demonstrated that healthy lifestyle behaviors are important even in old age.
OBJECTIVE: To evaluate the effect of baseline combination of 6 lifestyle factors on all-cause mortality. METHODS: A total of 62,106 Japanese men and women aged 40-79 years were followed for 12.5 years on average. Hazard ratios and 95% confidence intervals (CIs) of all-cause mortality in relation to healthy lifestyle factors (not currently smoking, not heavily drinking, walking 1 h or more per day, sleeping 6.5 to 7.4 h per day, eating green-leafy vegetables almost daily and BMI between 18.5 and 24.9) were calculated from proportional-hazards regression models. We also estimated population-attributable fractions of death to address the impact of potential lifestyle modifications on mortality. RESULTS: Until 2003, 8497 deaths were observed. Age-adjusted HR of all-cause mortality for the group with 6 healthy lifestyle factors was 0.42 (95% CI: 0.32-0.56) among men and 0.49 (0.39-0.60) among women, respectively, compared with the group with 0-2 healthy lifestyle factors. Even at ages 60-79 years, a healthy lifestyle has a major impact on mortality. Had the subjects achieved even a 1-point increment in their lifestyle scores, death rates of 24.7% among men and 18.5% among women could have been reduced. CONCLUSION: We found an inverse association between baseline combination of 6 healthy lifestyle factors and all-cause mortality as well as its impact on preventable fraction of death. Our results also demonstrated that healthy lifestyle behaviors are important even in old age.
Authors: Bonnie Spring; Arlen C Moller; Laura A Colangelo; Juned Siddique; Megan Roehrig; Martha L Daviglus; Joseph F Polak; Jared P Reis; Stephen Sidney; Kiang Liu Journal: Circulation Date: 2014-04-28 Impact factor: 29.690
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Authors: Akbar Fazel-Tabar Malekshah; Marsa Zaroudi; Arash Etemadi; Farhad Islami; Sadaf Sepanlou; Maryam Sharafkhah; Abbas-Ali Keshtkar; Hooman Khademi; Hossein Poustchi; Azita Hekmatdoost; Akram Pourshams; Akbar Feiz Sani; Elham Jafari; Farin Kamangar; Sanford M Dawsey; Christian C Abnet; Paul D Pharoah; Paul J Berennan; Paolo Boffetta; Ahmad Esmaillzadeh; Reza Malekzadeh Journal: Arch Iran Med Date: 2016-11 Impact factor: 1.354
Authors: Yanping Li; An Pan; Dong D Wang; Xiaoran Liu; Klodian Dhana; Oscar H Franco; Stephen Kaptoge; Emanuele Di Angelantonio; Meir Stampfer; Walter C Willett; Frank B Hu Journal: Circulation Date: 2018-07-24 Impact factor: 29.690