Volume 12, Issue 2 (2024)                   Health Educ Health Promot 2024, 12(2): 225-230 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ryosuke O, Kazuma S. Association between Lifestyle Habits and Mortality Rates; A Prefectural Analysis in Japan. Health Educ Health Promot 2024; 12 (2) :225-230
URL: http://hehp.modares.ac.ir/article-5-73243-en.html
1- Department of Nursing, School of Nursing, Osaka Metropolitan University, Osaka, Japan
2- Department of Consulting & Sales, Insight Edge, Inc., Chiyoda, Japan
Abstract:   (697 Views)
Aims: Malignant tumors, heart disease, and cerebrovascular disease stand as the primary causes of mortality in Japan. This study was done to elucidate potential correlations between lifestyle-related factors and mortality rates at the prefectural level.
Instrument & Methods: This descriptive study utilized the 2nd National Database Open Data and the 2015 Vital Statistics to explore the correlation between responses to the Specified Health Examination Questionnaire and age-adjusted mortality rates for malignant tumors, heart disease, and cerebrovascular disease among individuals aged 40-74 in each prefecture. Multiple regression analysis, incorporating the stepwise variable increase/decrease method, was employed to pinpoint lifestyle habits influencing mortality rates.
Findings: The multiple regression analysis unveiled distinct connections between lifestyle habits and mortality rates for each disease. Smoking habits, eating speed, and drinking habits were identified as factors linked to mortality from malignant tumors. Regarding heart disease, an increase of more than 10kg from body weight at age 20, drinking habits, eating speed, and meal time emerged as significant lifestyle contributors. Increased mortality from cerebrovascular disease was associated with drinking and smoking habits, lifestyle modification behaviors, breakfast-skipping habits, eating speed, walking speed, and getting enough rest from sleep.
Conclusion: Lifestyle habits within each prefecture are associated with fluctuations in mortality rates for the three primary causes of death.
 
Keywords: Life Style [MeSH], Habits [MeSH], Mortality [MeSH]
Full-Text [PDF 615 kb]   (806 Downloads) |   |   Full-Text (HTML)  (58 Views)  
Article Type: Descriptive & Survey | Subject: Healthy Life Style
Received: 2024/01/4 | Accepted: 2024/04/22 | Published: 2024/06/21
* Corresponding Author Address: Osaka Metropolitan University School of Nursing, Habikino, Habikino-shi, Osaka, 583-8555, Japan. Postal Code: 583-8555 (e24118i@omu.ac.jp)

References
1. Ministry of Health, Labour and Welfare. Summary of the 2021 vital statistics monthly report (approximate figures). Tokyo: Ministry of Health, Labour and Welfare; 2022. [Japanese] [Link]
2. Ikeda K, Ueki T. The relationship between mortality and nutrition in Japan. Tokyo Metrop Res Lab Public Health. 2001;52:293-8. [Japanese] [Link]
3. Hayama, Hirofumi, Kamazawa, Yuki, Matsumura, Ryosuke, et al. Effects of climatic conditions and place of death on causes of death. Indic Health. 2011;58(13):1-6. [Japanese] [Link]
4. Ohashi Y. Relationships between acute cardiovascular or cerebrovascular diseases and monthly meteorological or annual climatic changes. J Environ Inform Sci. 2019;33:301-6. [Japanese] [Link]
5. Inoue M, Yamamoto S, Kurahashi N, Iwasaki M, Sasazuki S, Tsugane S, et al. Daily total physical activity level and total cancer risk in men and women: Results from a large-scale population-based cohort study in Japan. Am J Epidemiol. 2008;168(4):391-403. [Link] [DOI:10.1093/aje/kwn146]
6. WCRF. Wholegrains, vegetables and fruit and the risk of cancer. London: World Cancer Research Fund International; 2020. [Link]
7. Ministry of Health, Labour and Welfare. 2nd NDB Open Data; 2012 [cited 2023/10/5]. Available from: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000177221.html. [Japanese] [Link]
8. General Contact Point for Government Statistics. 2015 Age-adjusted mortality rates by prefecture. Tokyo: e-Stat [cited 2023/10/10]. Available from: https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450013&tstat=000001102115&cycle=7&year=20150&month=0&tclass1val=0 [Japanese] [Link]
9. Gandini S, Botteri E, Iodice S, Boniol M, Lowenfels AB, Maisonneuve P, et al. Tobacco smoking and cancer: A meta-analysis. Int J Cancer. 2008;122(1):155-64. [Link] [DOI:10.1002/ijc.23033]
10. Macacu A, Autier P, Boniol M, Boyle P. Active and passive smoking and risk of breast cancer: A meta-analysis. Breast Cancer Res Treat. 2015;154(2):213-24. [Link] [DOI:10.1007/s10549-015-3628-4]
11. Ikegami T. Cancer mortality by prefecture correlates with smoking prevalence. Indic Health. 2019;66(4):43-7. [Japanese] [Link]
12. Wilson LM, Avila Tang E, Chander G, Hutton HE, Odelola OA, Elf JL, et al. Impact of tobacco control interventions on smoking initiation, cessation, and prevalence: A systematic review. J Environ Public Health. 2012;2012:961724. [Link] [DOI:10.1155/2012/961724]
13. Papadimitriou N, Markozannes G, Kanellopoulou A, Critselis E, Alhardan S, Karafousia V, et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat Commun. 2021;12(1):4579. [Link] [DOI:10.1038/s41467-021-24861-8]
14. Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, et al. Light alcohol drinking and cancer: A meta-analysis. Ann Oncol. 2013;24(2):301-8. [Link] [DOI:10.1093/annonc/mds337]
15. Popova S, Giesbrecht N, Bekmuradov D, Patra J. Hours and days of sale and density of alcohol outlets: Impacts on alcohol consumption and damage: A systematic review. Alcohol Alcohol. 2009;44(5):500-16. [Link] [DOI:10.1093/alcalc/agp054]
16. Sherk A, Stockwell T, Chikritzhs T, Andréasson S, Angus C, Gripenberg J, et al. Alcohol consumption and the physical availability of take-away alcohol: Systematic reviews and meta-analyses of the days and hours of sale and outlet density. J Stud Alcohol Drugs. 2018;79(1):58-67. [Link] [DOI:10.15288/jsad.2018.79.58]
17. Chei CL, Iso H, Yamagishi K, Inoue M, Tsugane S. Body mass index and weight change since 20 years of age and risk of coronary heart disease among Japanese: The Japan public health center-based study. Int J Obes. 2008;32(1):144-51. [Link] [DOI:10.1038/sj.ijo.0803686]
18. Okada C, Kubota Y, Eshak ES, Cui R, Tamakoshi A, Iso H, et al. Weight change and mortality from cardiovascular diseases: The Japan collaborative cohort study. J Atheroscler Thromb. 2021;28(1):25-33. [Link] [DOI:10.5551/jat.54114]
19. Cahill LE, Chiuve SE, Mekary RA, Jensen MK, Flint AJ, Hu FB, et al. Prospective study of breakfast eating and incident coronary heart disease in a cohort of male US health professionals. Circulation. 2013;128(4):337-43. [Link] [DOI:10.1161/CIRCULATIONAHA.113.001474]
20. Azizi F, Mirmiran P, Momenan AA, Hadaegh F, Habibi Moeini A, Hosseini F, et al. The effect of community-based education for lifestyle intervention on the prevalence of metabolic syndrome and its components: Tehran lipid and glucose study. Int J Endocrinol Metab. 2013;11(3):145-53. [Link] [DOI:10.5812/ijem.5443]
21. Sarikaya H, Ferro J, Arnold M. Stroke prevention--medical and lifestyle measures. Eur Neurol. 2015;73(3-4):150-7. [Link] [DOI:10.1159/000367652]
22. Lachman ME, Lipsitz L, Lubben J, Castaneda-Sceppa C, Jette AM. When adults don't exercise: Behavioral strategies to increase physical activity in sedentary middle-aged and older adults. Innov Aging. 2018;2(1):igy007. [Link] [DOI:10.1093/geroni/igy007]
23. Fan M, Sun D, Zhou T, Heianza Y, Lv J, Li L, et al. Sleep patterns, genetic susceptibility, and incident cardiovascular disease: A prospective study of 385292 UK biobank participants. Eur Heart J. 2020;41(11):1182-9. [Link] [DOI:10.1093/eurheartj/ehz849]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.