子供の家庭環境と生活習慣に関連した社会・健康問題：長時間メディア・低い学力・便秘

富山大学・富医薬博乙第74号・山田 正明・2019/08/28関連論文1．Masaaki Yamada, Michikazu Sekine, Takashi Tatsuse. Parental Internet Use and Lifestyle Factors as Correlates of Prolonged Screen Time of Children in Japan: Results From the Super Shokuiku School Project, Journal of Epidemiology, 2018, 28 巻, 10 号, p. 407-413, https://doi.org/10.2188/jea.JE201701002．Yamada, M., Sekine, M., Tatsuse, T. et al. Association between lifestyle, parental smoke, socioeconomic status, and academic performance in Japanese elementary school children: the Super Diet Education Project, Environ Health Prev Med (2019) 24: 22. https://doi.org/10.1186/s12199-019-0776-x 3．Masaaki Yamada, Michikazu Sekine, Takashi Tatsuse. Psychological Stress, Family Environment, and Constipation in Japanese Children: The Toyama Birth Cohort Study, Journal of Epidemiology, 2019, 29 巻, 6 号, p. 220-226, https://doi.org/10.2188/jea.JE201800164．Yamada, M., Sekine, M., Tatsuse, T. et al. Lifestyle, psychological stress, and incidence of adolescent constipation: results from the Toyama birth cohort study. BMC Public Health 21, 47 (2021). https://doi.org/10.1186/s12889-020-10044-5富山大

Country specific associations between social contact and mental health : evidence from civil servant studies across Great Britain, Japan and Finland

Peer reviewe

Occupational Class Differences in Body Mass Index and Weight Gain in Japan and Finland

Background: Occupational class differences in body mass index (BMI) have been systematically reported in developed countries, but the studies have mainly focused on white populations consuming a Westernized diet. We compared occupational class differences in BMI and BMI change in Japan and Finland.Methods: The baseline surveys were conducted during 1998-1999 among Japanese (n = 4080) and during 2000-2002 among Finnish (n = 8685) public-sector employees. Follow-up surveys were conducted among those still employed, in 2003 (n = 3213) and 2007 (n = 7086), respectively. Occupational class and various explanatory factors were surveyed in the baseline questionnaires. Linear regression models were used for data analysis.Results: BMI was higher at baseline and BMI gain was more rapid in Finland than in Japan. In Finland, baseline BMI was lowest among men and women in the highest occupational class and progressively increased to the lowest occupational class; no gradient was found in Japan (country interaction effect, P = 0.020 for men and P < 0.0001 for women). Adjustment for confounding factors reflecting work conditions and health behavior increased the occupational class gradient among Finnish men and women, whereas factors related to social life had no effect. No statistically significant difference in BMI gain was found between occupational classes.Conclusions: The occupational class gradient in BMI was strong among Finnish employees but absent among Japanese employees. This suggests that occupational class inequalities in obesity are not inevitable, even in high-income societies.Peer reviewe

Leisure time physical activity and subsequent physical and mental health functioning among midlife Finnish, British and Japanese employees: a follow-up study in three occupational cohorts

OBJECTIVES: The aim of this study was to examine whether leisure time physical activity contributes to subsequent physical and mental health functioning among midlife employees. The associations were tested in three occupational cohorts from Finland, Britain and Japan. DESIGN: Cohort study. SETTING: Finland, Britain and Japan. PARTICIPANTS: Prospective employee cohorts from the Finnish Helsinki Health Study (2000-2002 and 2007, n=5958), British Whitehall II study (1997-1999 and 2003-2004, n=4142) and Japanese Civil Servants Study (1998-1999 and 2003, n=1768) were used. Leisure time physical activity was classified into three groups: inactive, moderately active and vigorously active. PRIMARY OUTCOME MEASURE: Mean scores of physical and mental health functioning (SF-36) at follow-up were examined. RESULTS: Physical activity was associated with better subsequent physical health functioning in all three cohorts, however, with varying magnitude and some gender differences. Differences were the clearest among Finnish women (inactive: 46.0, vigorously active: 49.5) and men (inactive: 47.8, active vigorous: 51.1) and British women (inactive: 47.3, active vigorous: 50.4). In mental health functioning, the differences were generally smaller and not that clearly related to the intensity of physical activity. Emerging differences in health functioning were relatively small. CONCLUSIONS: Vigorous physical activity was associated with better subsequent physical health functioning in all three cohorts with varying magnitude. For mental health functioning, the intensity of physical activity was less important. Promoting leisure time physical activity may prove useful for the maintenance of health functioning among midlife employees.Peer reviewe

Association between lifestyle, parental smoke, socioeconomic status, and academic performance in Japanese elementary school children: the Super Diet Education Project

Abstract Background Health and education are closely linked. However, few studies have explored the correlates of children’s academic performance in Japan. We aimed to investigate comprehensively the associations of low academic performance among school children with lifestyles, parental smoke, and socioeconomic status. Methods In 2016, children aged 6 to 13 years from the Super Diet Education School Project were surveyed using questionnaires. The survey explored the lifestyles and subjective academic performance of 1663 children and asked their parents about parental smoke and subjective socioeconomic status. Academic performance and socioeconomic status were divided into three levels. Then, we defined subjective academic performance in the lower two levels as low academic performance. The odds ratios (OR) were analyzed by logistic regression analysis. Results Among all participants, 299 (18.0%) children reported low academic performance. In general, low academic performance was significantly associated with late wakeup time (OR = 1.36 for 6:30 to < 7 a.m. and OR = 2.48 for ≥ 7 a.m.), screen time ≥ 2 h (OR = 1.35), studying at home < 1 h (OR = 1.82), paternal smoke (OR = 1.47), maternal smoke (OR = 1.87), and low socioeconomic status (OR = 1.48). Analyses stratified by grade showed stronger associations between academic performance and socioeconomic status in senior (OR = 1.62 for middle, OR = 1.52 for low in grades 4 to 6) than in junior children (OR = 1.15 for middle, OR = 1.38 for low in grades 1 to 3). Conclusions Children’s lifestyles, parental smoke, and socioeconomic status were significantly associated with low academic performance among Japanese children. Parents and health care providers should take these findings into consideration to prevent children from having low academic performance

Prevalence and associated factors of pathological Internet use and online risky behaviors among Japanese elementary school children

Background: Little is known about pathological Internet use (PIU) and online risky behaviors among elementary school children. We aimed to investigate the prevalence and factors associated with PIU and online risky behaviors. Methods: A school-based cross-sectional study was conducted in Toyama, Japan in 2018. The study included 13,413 children in the 4th–6th grades (mean, 10.5 years old) from 110 elementary schools (61.1% of elementary schools in Toyama). We assessed PIU using Young’s Diagnostic Questionnaire (YDQ) and risky behaviors. Poisson regression analysis was conducted. Results: Totally, 13,092 children returned questionnaires (response rate 97.6%). The prevalence of PIU was 4.2% and that of each risky behavior was as follows: 21.6% for spending money online, 6.6% for uploading personal movies, 5.2% for interpersonal issues, and 2.4% for having met strangers. PIU was significantly associated with boys (prevalence ratio [PR] 1.26; 95% confidence interval [CI], 1.04–1.52), skipping breakfast (PR 1.43; 95% CI, 1.14–1.79), Internet time (for 2∼3 h, PR 3.49; 95% CI, 2.63–4.65; for 3∼4 h, PR 4.45; 95% CI, 3.27–6.06; and for ≥4 h, PR 8.25; 95% CI, 6.45–10.55), physical inactivity (PR 2.63; 95% CI, 2.00–3.47), late bedtime (PR 1.86; 95% CI, 1.45–2.39 for ≥11 p.m.), no rules at home (PR 1.22; 95% CI, 1.01–1.46), no child-parent interaction (PR 1.37; 95% CI, 1.06–1.77), and no close friends in real life (PR 1.69; 95% CI, 1.30–2.19). Conclusions: PIU and risky behaviors were not rare among the elementary school children. Besides unhealthy lifestyles, social and family environments were associated with PIU. Having child-parent interaction and helping children develop close friendships in real life are effective deterrents to PIU