Occupational Sitting Time and Overweight and Obesity in Australian Workers

Mummery, W. Kerry; Schofield, Grant; Steele, Rebekah; Eakin, Elizabeth G.; Brown, Wendy J.

doi:10.1016/j.amepre.2005.04.003

Cited by 208 publications

(205 citation statements)

References 28 publications

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“…While some inverse associations have been reported between occupational activity and obesity and its associated sequelae (King et al, 2001;Barengo et al, 2004;Mummery et al, 2005), others have found no association (Ball et al, 2001;GutierrezFisac et al, 2002). The majority of this work investigates Model 2 also includes occupational activity as specified in Model 1, results did not substantially differ so are not shown above.…”

Section: Discussionmentioning

confidence: 98%

Longitudinal relationships between occupational and domestic physical activity patterns and body weight in China

Monda

Zhai³

et al. 2007

Eur J Clin Nutr

146

114

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Objectives: To examine the longitudinal relationship between occupational and domestic sources of physical activity and body weight in a sample of Chinese adults. Methods: Population-based longitudinal observational study of Chinese adults (4697 women and 4708 men) aged 18-55 from the 1991, 1993, 1997, and 2000 waves of the China Health and Nutrition Survey. Measured height and weight and detailed self-reported energy expenditure from multiple occupational and domestic sources were assessed over a 9-year period. Longitudinal relationships were modeled using linear random effects models. Results: Increased occupational physical activity resulted in overall lower body weight for both men and women (b-coefficients (95% confidence interval (CI)) for high levels: À0.46 (À0.76, À0.15) for men, À0.36 (À0.62, À0.10) for women, and increased domestic physical activity resulted in overall lower body weight in men (b-coefficient (95% CI): À0.40 (À0.62, À0.18)). Conclusions: Physical activity that occurs in the occupational and domestic sectors is often overlooked; yet our research suggests they have important effects on body weight in Chinese adults. As China continues to urbanize, energy expenditure from these sources is decreasing, and our results point out the need to explore these types of physical activity more broadly across the world as potential sources of weight gain.

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Section: Discussionmentioning

confidence: 98%

Longitudinal relationships between occupational and domestic physical activity patterns and body weight in China

Monda

Zhai³

et al. 2007

Eur J Clin Nutr

146

114

View full text Add to dashboard Cite

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“…TV watching, sitting at work) is related to overweight and obesity, independent of physical activity level 22,45 Decreasing sedentary time and increasing lightto-moderate activity such as household chores may bring substantial health benefits. 18,22 À100 kcal 8. Think about your drinks Choose water or sugar-free squashes.…”

Section: Discussionmentioning

confidence: 99%

“…We therefore hypothesized that a habit-formation model could provide the basis for a simple weight control intervention. We developed a leaflet based around a set of everyday eating and activity behaviours that have been shown to be associated with weight loss, [16][17][18][19][20][21][22][23][24][25] and incorporated advice on repetition in consistent contexts to promote habit formation (see Table 1). The leaflet also contained a brief self-monitoring form.…”

Section: Introductionmentioning

confidence: 99%

Healthy habits: efficacy of simple advice on weight control based on a habit-formation model

2007

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Objective: To evaluate the efficacy of a simple weight loss intervention, based on principles of habit formation. Design: An exploratory trial in which overweight and obese adults were randomized either to a habit-based intervention condition (with two subgroups given weekly vs monthly weighing; n ¼ 33, n ¼ 36) or to a waiting-list control condition (n ¼ 35) over 8 weeks. Intervention participants were followed up for 8 months. Participants: A total of 104 adults (35 men, 69 women) with an average BMI of 30.9 kg m À2 . Intervention: Intervention participants were given a leaflet containing advice on habit formation and simple recommendations for eating and activity behaviours promoting negative energy balance, together with a self-monitoring checklist. Main outcome measures: Weight change over 8 weeks in the intervention condition compared with the control condition and weight loss maintenance over 32 weeks in the intervention condition. Results: At 8 weeks, people in the intervention condition had lost significantly more weight (mean ¼ 2.0 kg) than those in the control condition (0.4 kg), with no difference between weekly and monthly weighing subgroups. At 32 weeks, those who remained in the study had lost an average of 3.8 kg, with 54% losing 5% or more of their body weight. An intention-to-treat analysis (based on last-observation-carried-forward) reduced this to 2.6 kg, with 26% achieving a 5% weight loss. Conclusions: This easily disseminable, low-cost, simple intervention produced clinically significant weight loss. In limited resource settings it has potential as a tool for obesity management.

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“…We also tested physical activity and sitting time as possible mediators given that previous studies have suggested that these variables could be important (Di Milia and Mummery 2009;Mummery et al 2005). Furthermore, given that previous studies have identified possible sex differences in the relationships between sleep, work hours and obesity, we examined these associations separately in males and females.…”

Section: Introductionmentioning

confidence: 99%

“…For example, white collar workers who work long hours could be at an increased risk of obesity because they spend more time sitting (Mummery et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Short sleep mediates the association between long work hours and increased body mass index

2010

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This study examined whether short sleep duration, physical activity and time spent sitting each day mediated the association between long work hours and body mass index (BMI). Participants included 16,951 middle aged Australian adults who were employed in full time work (i.e. ≥35 h a week). Data on BMI, sleep duration, work hours and other health and demographic variables were obtained through a self-report questionnaire. A multiple mediation model was tested whereby sleep duration, physical activity and amount of time spent sitting were entered as potential mediators between work hours and BMI. The results demonstrated that short sleep partially mediated the association between long work hours and increased BMI in males. In females, long work hours were indirectly related to higher BMI through short sleep. The results provide some support for the hypothesis that long work hours could contribute to obesity via a reduction in sleep duration; this warrants further investigation in prospective studies.

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Occupational Sitting Time and Overweight and Obesity in Australian Workers

Cited by 208 publications

References 28 publications

Longitudinal relationships between occupational and domestic physical activity patterns and body weight in China

Longitudinal relationships between occupational and domestic physical activity patterns and body weight in China

Healthy habits: efficacy of simple advice on weight control based on a habit-formation model

Short sleep mediates the association between long work hours and increased body mass index

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