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Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study.

ABSTRACT: Concern over the health risks of sedentary behavior has highlighted the need to examine factors associated with screen-based (television/computer) sedentary behavior. The present study examined the association of screen-based sedentary behavior with body weight and sociodemographic attributes among Japanese adults.A population-based cross-sectional study enrolled 1034 Japanese adults aged 40 to 69 years who lived in 2 Japanese cities. Sociodemographic variables, height, weight, and time spent on screen-based sedentary behavior were collected by self-administered questionnaire. Differences in screen time in relation to body mass index and weight gain since age 20 years were assessed by the Mann-Whitney U test. Independent associations of each variable with screen time were examined by forced-entry logistic regression analyses.Mean (SD) age and median (interquartile range) duration of screen time per week were 55.6 (8.4) years and 832.0 (368.8-1263.1) minutes, respectively, for men, and 55.3 (8.4) years and 852.6 (426.0-1307.5) minutes, respectively, for women. Screen time among participants with weight gain was longer than among those with a weight gain of less than 10 kg (P = 0.08). Unmarried and unemployed participants had longer screen times. Participants aged 40 to 49 years were less likely than older age groups to spend time on screen-based sedentary behavior during leisure hours.The present findings imply that strategies are necessary to discourage screen-based sedentary behavior among all demographic groups, especially among adults who are elderly, unmarried, or unemployed.

SUBMITTER: Ishii K

PROVIDER: S-EPMC3775533 | biostudies-other | 2013 Sep

REPOSITORIES: biostudies-other

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Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study.

Ishii Kaori K Shibata Ai A Oka Koichiro K

Journal of epidemiology 20130727 5

<h4>Background</h4>Concern over the health risks of sedentary behavior has highlighted the need to examine factors associated with screen-based (television/computer) sedentary behavior. The present study examined the association of screen-based sedentary behavior with body weight and sociodemographic attributes among Japanese adults.<h4>Methods</h4>A population-based cross-sectional study enrolled 1034 Japanese adults aged 40 to 69 years who lived in 2 Japanese cities. Sociodemographic variables ...[more]

PMID: 23892711

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Project description:BACKGROUND:Sedentary behavior (SB) is associated with increased risks of detrimental health outcomes. Few studies have explored correlates of SB in physically active individuals. Furthermore, SB correlates may depend on settings of SB, such as occupation, transportation and leisure time sitting. This study aims to identify subject-, lifestyle- and health-related correlates for total SB and different SB domains: transportation, occupation, and leisure time. METHODS:Dutch participants were recruited between June, 2015 and December, 2016. Participant characteristics (i.e. age, sex, weight, height, marital status, education level, employment), lifestyle (sleep, smoking, alcohol consumption, physical activity) and medical history were collected via an online questionnaire. SB was assessed using the Sedentary Behavior Questionnaire and estimated for 9 different activities during weekdays and weekend days. Logistic regression was used to calculate odds ratios and 95% confidence intervals for the association between correlates and SB. Total SB was dichotomized at >?8?h/day and?>?10?h/day, and being sedentary during transportation, occupation and leisure time at the 75th percentile (60?min/day, 275?min/day and 410?min/day, respectively). RESULTS:In total, 8471 participants (median age 55, 55% men) were included of whom 86% met the physical activity guidelines. Median SB was 9.1?h/day (Q25 6.3-Q75 12.0) during weekdays and 7.4?h/day (Q25 5.5-Q75 9.5) during weekend days. SB was most prevalent during leisure time (5.3?h/day; Q25 3.9-Q75 6.8), followed by occupation (2?h/day; Q25 0.1-Q75 4.6) and transportation (0.5?h/day; Q25 0.2-Q75 1.0). Younger age, male sex, being unmarried, higher education, employment and higher BMI were significantly related to higher levels of total SB. Younger age, male sex, employment, and higher BMI increased the odds for high SB volumes during occupation and transportation. Higher education, being unmarried and smoking status were positively associated with high volumes of occupational SB only, whereas older age, being unmarried, unemployment, higher BMI and poor health were positively linked to leisure time SB. CONCLUSIONS:SB is highly prevalent in physically active individuals, with SB during leisure time as the most important contributor. Correlates for high volumes of SB vary substantially across SB domains, emphasizing the difficulty to target this unhealthy lifestyle.

Project description:BACKGROUND:Physical inactivity and sedentary behavior are major concerns for public health. Although global initiatives have been successful in monitoring physical activity (PA) worldwide, there is no systematic action for the monitoring of correlates of these behaviors, especially in low- and middle-income countries. Here we describe the prevalence and distribution of PA domains and sitting time in population sub-groups of six south American countries. METHODS:Data from the South American Physical Activity and Sedentary Behavior Network (SAPASEN) were used, which includes representative data from Argentina (n?=?26,932), Brazil (n?=?52,490), Chile (n?=?3719), Ecuador (n?=?19,851), Peru (n?=?8820), and Suriname (n?=?5170). Self-reported leisure time (?150?min/week), (?150?min/week), transport (?10?min/week), and occupational PA total (?10?min/week), as well as sitting time (?4?h/day) were captured in each national survey. Sex, age, income, and educational status were exposures. Descriptive statistics and harmonized random effect meta-analyses were conducted. RESULTS:The prevalence of PA during leisure (Argentina: 29.2% to Peru: 8.6%), transport (Peru: 69.7% to Ecuador: 8.8%), and occupation (Chile: 60.4 to Brazil 18.3%), and ?4?h/day of sitting time (Peru: 78.8% to Brazil: 14.8%) differed widely between countries. Moreover, total PA ranged between 60.4% (Brazil) and 82.9% (Chile) among men, and between 49.4% (Ecuador) and 74.9% (Chile) among women. Women (low leisure and occupational PA) and those with a higher educational level (low transportation and occupational PA as well as high sitting time) were less active. Concerning total PA, men, young and middle-aged adults of high educational status (college or more) were, respectively, 47%?[OR?=?0.53 (95% CI?=?0.36-0.78), I2 =?76.6%], 25%?[OR?=?0.75 (95% CI?=?0.61-0.93), I2 =?30.4%] and 32%?[OR?=?0.68 (95% CI?=?0.47-1.00), I2 =?80.3%] less likely to be active. CONCLUSIONS:PA and sitting time present great ranges and tend to vary across sex and educational status in South American countries. Country-specific exploration of trends and population-specific interventions may be warranted.

Project description:BackgroundSociodemographic inequalities in depression are well established. However, less is known about variation in inequalities across countries. In this study, we describe cross-national variation in sociodemographic inequalities in depression among older adults. Comparing inequalities across countries is an important step towards understanding how the social environment shapes depression risk.MethodsIn this cross-sectional study, we harmonised data from eight large ageing cohort studies from 18 countries. We restricted our study to adults aged 55 years and older, and measured depression using established cut points in shortened Center for Epidemiologic Studies Depression or EURO-D scales. Next, we estimated prevalence ratios for each country by age, marital status, educational attainment, and gender with logistic regression. To compare estimates across countries, we standardised estimates to the mean sociodemographic distribution across our sample.FindingsBetween Jan 1, 2007, and May 31, 2015, 93 590 older adults completed questions related to depressive symptoms. Sociodemographic inequalities in depression varied substantially across countries. Variation was most apparent for age: prevalence ratios (adults aged 75 years or older vs adults aged 55-65 years) ranged from 2·66 (95% CI 2·13-3·20) in Israel to 0·78 (95% CI 0·72-0·84) in the USA. Heterogeneity by other factors was also apparent. Gender prevalence ratios (women vs men) ranged from 1·07 (95% CI 1·01-1·14) in Korea to 1·96 (95% CI 1·55-2·36) in Greece. Educational prevalence ratios (less than secondary education vs some post-secondary education) ranged from 1·01 (95% CI 0·88-1·14) in Japan to 2·34 (95% CI 2·14-2·55) in the USA. Marital status prevalence ratios (divorced or separated vs married) ranged from 1·11 (95% CI 1·01-1·21) in Chile to 2·01 (95% CI 1·73-2·29) in England.InterpretationInequalities in depression among older adults vary substantially across countries, which might be due to country-specific aspects of the social environment. Future research should investigate social inequality determinants of mental health that might inform the design and evaluation of social, economic, and mental health-related policies and interventions to reduce depression.FundingUS National Institute of Mental Health and Chilean National Commission for Scientific and Technological Research.

Dataset Information

Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study.

Publications

Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study.

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