Age-period-cohort Analysis of Healthy Lifestyle Behaviors Using the National Health and Nutrition Survey in Japan
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objectives: This study conducted an age-period-cohort (APC) analysis of trends in healthy lifestyle behaviors in Japan. Methods: We used National Health and Nutrition Survey data on salt intake and prevalence of smoking, drinking, and physical activity between 1995 and 2018 in Japan. Age groups were defined from 20 years to 69 years old in 10-year increments. Cohorts were defined for each age group of each year with a 1-year shift, and cohorts born in 1926-1935 (first cohort) until 1989-1998 (last cohort) were examined. We conducted a Bayesian APC analysis, calculating estimated values for each behavior by age group, period, and cohort. Results: Estimated salt intake decreased from cohorts born in the 1930s to the 1960s, but increased thereafter in both genders, and the magnitude of increase was larger for men. Estimated smoking prevalence increased in the cohorts starting from the 1930s for men and the 1940s for women, and then decreased starting in the cohorts born in the 1970s for both genders. Although estimated drinking prevalence decreased starting in the cohorts born in approximately 1960 for men, for women it increased until the cohorts born in approximately 1970. Estimated physical activity prevalence decreased starting in the cohorts born in the 1940s in both genders, but the magnitude of decrease was larger for women. Conclusions: Trends in cohort effects differed by gender, which might be related to changes in the social environment for women. Improvements in dietary and exercise habits are required in more recently born cohorts of both genders.
Abstract
Objectives: This study conducted an age-period-cohort (APC) analysis of trends in healthy lifestyle behaviors in Japan. Methods: We used National Health and Nutrition Survey data on salt intake and prevalence of smoking, drinking, and physical activity between 1995 and 2018 in Japan. Age groups were defined from 20 years to 69 years old in 10-year increments. Cohorts were defined for each age group of each year with a 1-year shift, and cohorts born in 1926-1935 (first cohort) until 1989-1998 (last cohort) were examined. We conducted a Bayesian APC analysis, calculating estimated values for each behavior by age group, period, and cohort. Results: Estimated salt intake decreased from cohorts born in the 1930s to the 1960s, but increased thereafter in both genders, and the magnitude of increase was larger for men. Estimated smoking prevalence increased in the cohorts starting from the 1930s for men and the 1940s for women, and then decreased starting in the cohorts born in the 1970s for both genders. Although estimated drinking prevalence decreased starting in the cohorts born in approximately 1960 for men, for women it increased until the cohorts born in approximately 1970. Estimated physical activity prevalence decreased starting in the cohorts born in the 1940s in both genders, but the magnitude of decrease was larger for women. Conclusions: Trends in cohort effects differed by gender, which might be related to changes in the social environment for women. Improvements in dietary and exercise habits are required in more recently born cohorts of both genders.
참고문헌 (32)
- "The patient survey"[URL]
- "Overview of national medical expenses 2017"[URL]
- Haneda M, "Japanese clinical practice guideline for diabetes 2016", Diabetol Int, 9(1), pp.1~45 (2018)
- Kinoshita M, "Japan Atherosclerosis Society(JAS)guidelines for prevention of atherosclerotic cardiovascular diseases 2017", J Atheroscler Thromb, 25(9), pp.846~984 (2018)
- Shimazu T, "Dietary patterns and cardiovascular disease mortality in Japan : a prospective cohort study", Int J Epidemiol, 36(3), pp.600~609 (2007)
- Yoon Jung Kang, "Associations of Obesity and Dyslipidemia with Intake of Sodium, Fat, and Sugar among Koreans: a Qualitative Systematic Review", Clinical Nutrition Research, 5(4), pp.290~304 (2016), 한국임상영양학회
- Strazzullo P, "Salt intake, stroke, and cardiovascular disease : meta-analysis of prospective studies", BMJ, 339, pp.b4567~ (2009)
- "Overview of the results of the National Health and Nutrition Survey in Japan 2017"[URL]
- Tanaka S, "Status of physical activity in Japanese adults and children", Ann Hum Biol, 46(4), pp.305~310 (2019)
- Smith TR, "A review and comparison of age–period–cohort models for cancer incidence", Stat Sci, 31(4), pp.591~610 (2016)
- Ma E, "Age-period-cohort analysis of mortality due to ischemic heart disease in Japan, 1955 to 2000", Circ J, 72(6), pp.966~972 (2008)
- Ito Y, "Comparison of trends in cancer incidence and mortality in Osaka, Japan, using an age-period-cohort model", Asian Pac J Cancer Prev, 12(4), pp.879~888 (2011)
- Yamakita M, "Effects of age, period, and cohort on the trends in obesity rate and energy intake ratio from fat in Japanese adults", Nihon Koshu Eisei Zasshi, 61(8), pp.371~384 (2014)
- "The National Health and Nutrition Survey in Japan 2017"[URL]
- "The National Health and Nutrition Survey"[URL]
- Saito A, "The trends in total energy, macronutrients and sodium intake among Japanese: findings from the 1995-2016 National Health and Nutrition Survey", Br J Nutr, 120(4), pp.424~434 (2018)
- Naing NN, "Easy way to learn standardization : direct and indirect methods", Malays J Med Sci, 7(1), pp.10~15 (2000)
- "The vital statistics"[URL]
- Kwok MK, "Age-period-cohort projection of trends in blood pressure and body mass index in children and adolescents in Hong Kong", BMC Pediatr, 20(1), pp.43~ (2020)
- Schmid VJ, "Bayesian age-period-cohort modeling and prediction-BAMP", J Stat Softw, 21(8), pp.1~15 (2007)
- 이혜아, "Trends in Ischemic Heart Disease Mortality in Korea, 1985-2009: An Age-period-cohort Analysis", 예방의학회지, 45(5), pp.323~328 (2012), 대한예방의학회
- Peng Y, "Prevalence of three lifestyle factors among Australian adults from 2004 to 2018 : an age-period-cohort analysis", Eur J Public Health, 30(4), pp.827~832 (2020)
- "RStan: the R interface to Stan. R package version 2.19.2"[URL]
- Miura K, "Epidemiology of hypertension in Japan: where are we now?", Circ J, 77(9), pp.2226~2231 (2013)
- Funatogawa I, "Trends in smoking and lung cancer mortality in Japan, by birth cohort, 1949-2010", Bull World Health Organ, 91(5), pp.332~340 (2013)
- Tasuku Okui, "Age-period-cohort Analysis of Cardiovascular Disease Mortality in Japan, 1995-2018", 예방의학회지, 53(3), pp.198~204 (2020), 대한예방의학회[DOI]
- Fukuda Y, "Socioeconomic pattern of smoking in Japan : income inequality and gender and age differences", Ann Epidemiol, 15(5), pp.365~372 (2005)
- Temple MT, "A meta-analysis of change in marital and employment status as predictors of alcohol consumption on a typical occasion", Br J Addict, 86(10), pp.1269~1281 (1991)
- Moore AA, "Longitudinal patterns and predictors of alcohol consumption in the United States", Am J Public Health, 95(3), pp.458~465 (2005)
- Wendt S, "Proximal predictors of alcohol use among Japanese college students", Subst Use Misuse, 53(5), pp.763~772 (2018)
- Van Domelen DR, "Employment and physical activity in the U.S", Am J Prev Med, 41(2), pp.136~145 (2011)
- van Dommelen P, "Objectively measured total and occupational sedentary time in three work settings", PLoS One, 11(3), pp.e0149951~ (2016)
