Screen-time, obesity, ageing and disability: Findings from 91,266 participants in the 45 and up study
Open accessAbstract
OBJECTIVE: To assess the relationship between obesity and sedentary behaviours, such as watching television or using a computer ('screen-time'), and describe how this relationship varies between population subgroups. DESIGN: Cross-sectional analysis of the relationship between obesity (BMI ≥ 30 kg/m2) and screen-time, adjusted for age, sex, income and education and compared according to a range of personal characteristics. SETTING: New South Wales, Australia. SUBJECTS: A total of 91 266 men and women aged 45 years and above from the general population of New South Wales in 2006-2007 and providing self-reported information on height and weight and other factors. RESULTS: Obesity prevalence was 21.4 %. Compared to individuals with <2 h of daily screen-time, the adjusted relative risks (RR) of obesity were 1.35 (95 % CI 1.26, 1.44), 1.70 (95 % CI 1.59, 1.82), 1.94 (95 % CI 1.81, 2.08) and 1.92 (95 % CI 1.80, 2.06) for 2-3, 4-5, 6-7 and ≥8 h, respectively. The increase in obesity with increasing screen-time was similar within categories of overall physical activity, but was attenuated in those in full-time paid work, compared to non-workers (P for interaction < 0.0001). Among non-workers, the overall obesity RR per 2 h increase in daily screen-time was 1.23 (95 % CI 1.21, 1.25) and was significantly elevated in all groups examined, ranging from 1.16 to 1.31 according to sex, level of age, education, income, smoking and fruit consumption. The RR did not differ significantly according to overall physical activity, region of residence and alcohol and vegetable consumption, but was substantially lower in disabled v. not-disabled individuals (P for interaction < 0.0001). CONCLUSIONS: Obesity increases with increasing screen-time, independent of purposeful physical activity. This was observed in all population groups examined, although it is attenuated in full-time workers and disabled individuals.
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There is little difference in sedentary behavior report by gender, with a mean difference of 1.6 ± 1.6%.
“It would appear there is little difference in report by gender (1.6 ± 1.6%) [3,17,18].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
On average, 61.5% of females reported more than 4 h of sitting, compared with 63.5% of males.
“On average 61.5% females reported more than 4 h of sitting compared to males at 63.5% [3,17,18].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
The meta-prevalence of sitting was obtained for a total population of 372,550 compiled from seven surveys covering six countries (Australia, Canada, Norway, Spain, UK and USA).
“These results were obtained for a total population of 372,550 compiled from seven surveys covering six countries (Australia, Canada, Norway, Spain, UK and USA) [3,17,18,24,25,27,33].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
93.6% of the population in Australia, UK and USA reported screen time of over 2 h.
“As can be seen from Figure 6, 52.9% of the population in Australia, UK and USA reported more than 4 h daily and 93.6% reported screen time of over 2 h [18,28,35].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
52.9% of the population in Australia, UK and USA reported more than 4 h of screen time daily.
“As can be seen from Figure 6, 52.9% of the population in Australia, UK and USA reported more than 4 h daily and 93.6% reported screen time of over 2 h [18,28,35].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
The mean difference between males and females in screen time in two datasets was 1.5 ± 1.2%.
“Bank et al. [18] and the Scottish Government [28] report gender specific data, there is little effect of gender with the mean difference between males and females in these two data sets (1.5 ± 1.2%).”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
65% of older adults sit in front of a screen for over 3 h.
“Approximately 60% of older adult’s report sitting for more than 4 h per day and over 54% report watching more than 3 h of TV and 65% sit in front of a screen for over 3 h.”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [18]
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- Authors
- Banks, E., Jorm, L., Rogers, K., Clements, M., & Bauman, A.
- Affiliations
- Australian National University (AU)
- Sax Institute (AU)
- The University of Sydney (AU)
- Corresponding author
- Banks, Emily
- Venue
- Public Health Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2010-04-22
- Volume
- 14
- Issue
- 1
- Pages
- 34-43
- ISSN
- 1368-9800 (ISSN-L)
- 1475-2727
- OpenAlex
- W2166727255
- Cited by
- 98
- References
- 19
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 10 · 2021: 7 · 2020: 9 · 2019: 11 · 2018: 8 · 2017: 6 · 2016: 10 · 2015: 5 · 2014: 4 · 2013: 12 · 2012: 7
- FWCI
- 5.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Public Health Nutrition (publishedVersion)
- PubMed (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Funders
- National Heart Foundation of Australia
- MBF Foundation
- Medical Research Council
- National Health and Medical Research Council (402810)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Social Psychology › Ergonomics and Musculoskeletal Disorders
- Keywords
- screen time, sedentary behavior, obesity, television viewing, computer use, physical activity, disability, aging, older adults, full-time employees, non-workers, subpopulations, 45 and Up Study
- MeSH terms
- Aging, Computers, Cross-Sectional Studies, Female, Persons with Disabilities, Health Surveys, Humans, Male, Middle Aged, New South Wales, Obesity, Risk Factors, Self Disclosure, Television, Exercise, Body Mass Index, Prevalence, Confidence Intervals, Odds Ratio, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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