ArticleJournal of epidemiology2013
Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: a population-based cross-sectional study.
Article in Journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach.BMC public health · 2016Pooled it
- Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study.The international journal of behavioral nutrition and physical activity · 2015Pooled it
- Sedentary time by occupation in a nationally representative Japanese population: a descriptive study using the National Health and Nutrition Survey.Journal of occupational health · 2026Article
- Teleworking as the main risk factor for sedentary behavior: the COVISTRESS international study.PloS one · 2026Observational
- Population-based cross-sectional study of the correlation of physical inactivity and sedentary behaviour with sociodemographic factors among Bangladeshi adults.Journal of preventive medicine and hygiene · 2025Article
- Status of Sedentary Time and Physical Activity of Rural Residents: A Cross-Sectional Population-Based Study in Eastern China.Frontiers in public health · 2022Observational
- Prevalence and patterns of physical activity, sedentary behaviour, and their association with health-related quality of life within a multi-ethnic Asian population.BMC public health · 2021Article
- Sedentary time in a nationally representative sample of adults in Japan: Prevalence and sociodemographic correlates.Preventive medicine reports · 2021Article
- The effect of a community-based e-health program to promote the role of physical activity among healthy adults in Hungary.BMC public health · 2020Article
- Examining total and domain-specific sedentary behaviour using the socio-ecological model - a cross-sectional study of Irish adults.BMC public health · 2019Article
- Article
- Do singles or couples live healthier lifestyles? Trends in Queensland between 2005-2014.PloS one · 2018Article
- Social correlates of leisure-time sedentary behaviours in Canadian adults.Preventive medicine reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConcern 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.
methodsA 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.
resultsMean (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.
conclusionsThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.