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      No modifying effect of education level on the association between lifestyle behaviors and cardiovascular mortality: the Japan Collaborative Cohort Study

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          Abstract

          We examined the effect of education level on the association between healthy lifestyle behaviors and cardiovascular mortality in the Japanese population. A total of 42,647 community-based men and women aged 40–79 years were enrolled at baseline (1988–1990), followed through 2009. The components of the healthy lifestyle score included the intake of fruits, fish, and milk; body mass index; exercise; avoidance of smoking; moderate alcohol intake; and moderate sleep duration. During the 19.3 years of follow-up, 8,314 all-cause and 2,377 total cardiovascular mortality cases were noted. Inverse associations were observed between healthy lifestyle scores and total cardiovascular disease (CVD) for both the lower and higher education level groups. Multivariable hazard ratios (95% confidence interval) for CVD mortality from the highest to the lowest healthy lifestyle scores, and the population attributable fraction (95% CIs) without healthy lifestyle scores of 7–8 were 0.51 (0.33–0.52) and 42% (24–58%), and 0.38 (0.27–0.47) and 55% (36–69%) for the higher and lower education levels, respectively. Our findings suggest that the association between higher CVD mortality and lower education level can be explained by the individuals’ lower adherence to a healthy lifestyle; hence, lifestyle modification would be beneficial for the prevention of cardiovascular mortality, irrespective of the education level.

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          Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms.

          Higher levels of physical activity are associated with fewer cardiovascular disease (CVD) events. Although the precise mechanisms underlying this inverse association are unclear, differences in several cardiovascular risk factors may mediate this effect. In a prospective study of 27,055 apparently healthy women, we measured baseline levels of hemoglobin A1c, traditional lipids (total, low-density lipoprotein, and high-density lipoprotein cholesterol), novel lipids [lipoprotein(a) and apolipoprotein A1 and B-100], creatinine, homocysteine, and inflammatory/hemostatic biomarkers (high-sensitivity C-reactive protein, fibrinogen, soluble intracellular adhesion molecule-1) and used women's self-reported physical activity, weight, height, hypertension, and diabetes. Mean follow-up was 10.9+/-1.6 years, and 979 incident CVD events occurred. The risk of CVD decreased linearly with higher levels of activity (P for linear trend or = 1500 kcal/wk of 27%, 32%, and 41%, respectively. Differences in known risk factors explained a large proportion (59.0%) of the observed inverse association. When sets of risk factors were examined, inflammatory/hemostatic biomarkers made the largest contribution to lower risk (32.6%), followed by blood pressure (27.1%). Novel lipids contributed less to CVD risk reduction compared with traditional lipids (15.5% and 19.1%, respectively). Smaller contributions were attributed to body mass index (10.1%) and hemoglobin A1c/diabetes (8.9%), whereas homocysteine and creatinine had negligible effects (< 1%). The inverse association between physical activity and CVD risk is mediated in substantial part by known risk factors, particularly inflammatory/hemostatic factors and blood pressure.
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            A prospective study of sleep duration and coronary heart disease in women.

            Long-term sleep deprivation is common in today's society. Recent experiments have demonstrated that short-term sleep deprivation in healthy subjects results in adverse physiologic changes, including a decreased glucose tolerance and an increased blood pressure. However, the long-term health consequences of long-term sleep deprivation are unclear. The objective of this study was to determine whether decreased sleep duration (from self-reports) is associated with an increased risk of coronary events. We studied a cohort of 71 617 US female health professionals (aged 45-65 years), without reported coronary heart disease (CHD) at baseline, who were enrolled in the Nurses' Health Study. Subjects were mailed a questionnaire in 1986 asking about daily sleep duration. Subjects were followed up until June 30, 1996, for the occurrence of CHD-related events. We assessed the relationship between self-reported sleep duration and incident CHD. A total of 934 coronary events were documented (271 fatal and 663 nonfatal) during the 10 years of follow up. Age-adjusted relative risks (95% confidence intervals) of CHD (with 8 hours of daily sleep being considered the reference group) for individuals reporting 5 or fewer, 6, and 7 hours of sleep were 1.82 (1.34-2.41), 1.30 (1.08-1.57), and 1.06 (0.89-1.26), respectively. The relative risk (95% confidence interval) for 9 or more hours of sleep was 1.57 (1.18-2.11). After adjusting for various potential confounders, including snoring, body mass index, and smoking, the relative risks of CHD (95% confidence intervals) for individuals reporting 5 or fewer, 6, and 7 hours of sleep were 1.45 (1.10-1.92), 1.18 (0.98-1.42), and 1.09 (0.91-1.30), respectively. The relative risk (95% confidence interval) for 9 or more hours of sleep was 1.38 (1.03-1.86). Short and long self-reported sleep durations are independently associated with a modestly increased risk of coronary events.
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              Socioeconomic status and health in the Japanese population.

              There is growing interest in the influence of socioeconomic status (SES) on health. Individual SES has been shown to be closely related to mortality, morbidity, health-related behavior and access to health care services in Western countries. Whether the same set of social determinants accounts for higher rates of mortality or morbidity in Japan is questionable, because over the past decade the magnitude of the social stratification within the society has increased due to economic and social circumstances. SES must be interpreted within the economic, social, demographic and cultural contexts of a specific country. In this report we discuss the impact of individuals' socioeconomic position on health in Japan with regard to educational attainment, occupational gradient/class, income level, and unemployment. This review is based mainly on papers indexed in Medline/PubMed between 1990 and 2007. We find that socioeconomic differences in mortality, morbidity and risk factors are not uniformly small in Japan. The majority of papers investigate the relationship between education, occupational class and health, but low income and unemployment are not examined sufficiently in Japan. The results also indicate that different socioeconomic contexts and inequality contribute to the mortality, morbidity, and biological and behavioral risk factors in Japan, although the pattern and direction of the relationships may not necessarily be the same in terms of size, pattern, distribution, magnitude and impact as in Western countries. In particular, the association between higher occupational status and lower mortality, as well as higher educational attainment and either mortality or morbidity, is not as strongly expressed among the Japanese. Japan is still one of the healthiest and most egalitarian nations in the world, and social inequalities within the population are less expressed. However, the magnitude of the social stratification has started to increase, and this is an alarming sign.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                06 January 2017
                2017
                : 7
                : 39820
                Affiliations
                [1 ]Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science , Okayama, Japan
                [2 ]Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine , Suita, Japan
                [3 ]Osaka University Graduate School of Pharmaceutical science , Suita, Japan
                [4 ]Department of Public Health, Fujita Health University School of Medicine , Toyoake, Japan
                [5 ]Department of Public Health, Hokkaido University Graduate School of Medicine , Sapporo, Japan
                Author notes
                Article
                srep39820
                10.1038/srep39820
                5216353
                28057921
                515a7925-e029-4b4c-8d16-bad32a1d98b5
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 08 March 2016
                : 28 November 2016
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