Sitting time and work patterns as indicators of overweight and obesity in Australian adults

Brown, Wendy J.; Miller, Yvette D.; Miller, Ruth A.

doi:10.1038/sj.ijo.0802426

Cited by 144 publications

(120 citation statements)

References 15 publications

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“…These results concur with a previous study that examined steps and ST in young mothers and full-time workers which found that the mothers of young children accumulated less ST than the full-time working women without a new baby (Brown et al, 2003).…”

Section: Discussionsupporting

confidence: 92%

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Clark

Peeters

Gomersall

et al. 2014

Preventive Medicine

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Word count abstract: 200 Word count main text: 2 769 Highlights• Over nine years sitting time (ST) decreased in young women and increased in midaged women.• Decreased ST was associated with having a baby, beginning work and decreased income in young women.• Decreased ST was associated with retirement and decreased income in mid-aged women. 2• Increased ST was associated with returning to study and job loss in young women.• Increased ST was associated with changes at work in mid-aged women. Results Against a background of complex changes there was an overall decrease in ST in young women(median change -0.48 hrs/day, interquartile range [IQR] =-2.54, 1.50) and an increase in ST in mid-aged women (median change 0.43 hrs/day; IQR =-1.29, 2.0) over nine years. In young women, returning to study and job loss were associated with increased ST, while having a baby, beginning work and decreased income were associated with decreased ST. In mid-aged women, changes at work were associated with increased ST, while retiring and decreased income were associated with decreased ST. ConclusionsST changed over nine years in young and mid-aged Australian women. The life events they experienced, particularly events related to work and family, were associated with these changes.

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Section: Discussionsupporting

confidence: 92%

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Clark

Peeters

Gomersall

et al. 2014

Preventive Medicine

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“…7 These studies did not, however, explore week day and weekend day variation. Others have reported a positive association between working hours and overall sitting time 13 and week day sitting time, 7 and no association between employment hours and weekend day sitting time. 16 As the sitting time measure in these studies combined both occupational and leisure time sedentary behavior, it is likely that the increased overall and week day sitting time predominantly reflects occupational behavior.…”

Section: Introductionmentioning

confidence: 99%

Mid-Aged Adults' Sitting Time in Three Contexts

Burton

Haynes

Uffelen

et al. 2012

American Journal of Preventive Medicine

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Background: To develop evidence based approaches for reducing sedentary behavior, there is a need to identify the specific settings where prolonged sitting occurs, associated factors, and variations.Purpose: To examine the sociodemographic and health factors associated with mid-aged adults' sitting time in three contexts, and variations between week and weekend days.Methods: A mail survey was sent to 17,000 adults (aged 40-65 years) in 2007; 11,037 responses were received (68.5%); and 7,719 were analyzed in 2010. Respondents indicated time spent sitting on a usual week day and weekend day for watching television, general leisure, and home computer use. Multivariate linear mixed models with area-level random intercepts were used to examine (i) associations between sociodemographic and health variables and sitting time, and (ii) interaction effects between week/weekend day for each of sex, age, education, and employment status, on sitting time.Results: For each context, longer sitting times were reported by those single and living alone, and those whose health restricted activity. For watching television, longer sitting times were reported by men; smokers; and those with high school or lower education, not in paid employment, in poor health, and with BMI >25 kg/m 2 . For general leisure, longer sitting times were reported by women, smokers, and those not in full time employment. For home computer use, longer sitting times were reported by men; and those aged 40-44 years, with university qualifications; in the mid income range; and with BMI >30 kg/m 2 . Sitting times tended to be longer on weekend than week days, although the extent of this differed among sociodemographic groups. Conclusions: Sociodemographic and health factors associated with sitting time differ bycontext and between week and weekend days.3 BackgroundEmerging evidence suggests that prolonged sitting time may be associated with an increased risk of adverse health outcomes such obesity, diabetes, cardiovascular risk biomarkers, and mortality. [1][2][3][4] To develop evidence based approaches for reducing sedentary behavior, there is a need to identify the specific settings where prolonged sitting occurs, associated factors, and variations. 5There is data to suggest that those adults with high levels of sedentary behavior are more likely to be men; 6-9 and older; 10, 11 to have low levels of income 7, 10, 12 and education; 1, 2,6,[10][11][12] and to have other health risks such as overweight or obesity, MeasuresRespondents indicated the time spent sitting on each of a usual week day and weekend day (a) while watching television (including DVDs, videos, and video games) (b) while using a computer at home, and (c) in leisure time, NOT including watching television and using a computer (e.g., hobbies, reading, dining out). This measure has been shown to have acceptable levels of reliability and validity with mid-aged adults. 19 Data were converted to minutes/day for each context. To minimize potential error associated with over-reporting, responses ...

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“…There is research in high-income countries regarding the prevalence of physical activity and its correlates (7)(8)(9)(10) . However, national representative data from Latin American countries are limited (11)(12)(13) .…”

mentioning

confidence: 99%

Sociodemographic factors associated with physical activity in Mexican adults

Hernández

Ramos-Ibáñez

2010

Public Health Nutr.

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Objective: To estimate the physical activity level among Mexican adults and to establish the sociodemographic variables that may be linked to active lifestyles. Design: Data from a cross-sectional survey were analysed. Physical activity was assessed using the short version of the International Physical Activity Questionnaire. The independent variables were sex, age, socio-economic status and size of town. Ordinal regression models were fitted to assess the association of physical activity levels with sociodemographic factors. Setting: Fieldwork was conducted from November 2002 through April 2003; the non-response rate was 3?1 %. Subjects: Data from a national representative sample (n 38 746) of Mexican adults aged .18 years old were analysed. Results: Almost 60 % of the population was classified into the high physical activity level. Women were less active than men in rural areas; in urban areas, the opposite trend was observed. In women, higher socio-economic status was associated with less physical activity, while among men there were no differences. People from rural and urban areas had a higher probability of engaging in physical activity than those from cities. In urban localities and cities, respondents of low socio-economic status had a lower probability of engaging in physical activity. Conclusions: Using a validated instrument to measure physical activity, we found that the prevalence of active lifestyle among Mexican adults was high. The socioeconomic and gender inequalities are different according to size of town (i.e. an effect modifier), which must be considered in the design of policies and programmes to promote physical activity.

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Sitting time and work patterns as indicators of overweight and obesity in Australian adults

Cited by 144 publications

References 15 publications

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Mid-Aged Adults' Sitting Time in Three Contexts

Sociodemographic factors associated with physical activity in Mexican adults

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