Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

Sprod, Judy; Olds, Tim; Burton, Nicola W.; Brown, Wendy J.; Uffelen, Jannique van; Ferrar, Katia; Maher, Carol

doi:10.1016/j.maturitas.2016.05.009

Cited by 6 publications

(8 citation statements)

References 24 publications

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“…The sex differences in time allocation regarding home-based activities are in line with previous research by Adjei and Brand that was conducted in Germany [9], as well as Sprod et al that was conducted in Australia [11,29], who also found that women spend more time on housework but less on gardening than men. Gauthier and Smeeding [12] reported the same ndings for overall home-based activities in nine different countries, but, contrasting our results, saw a decrease with age in women devoting time to housework and an age-related increase in men.…”

Section: Discussionsupporting

confidence: 90%

“…While our ndings suggest that active transport is the domain older adults devote the least amount of time on, several other studies reported leisure PA to be the domain the least time is spent on [11,12,29,30]. Sprod and colleagues [11,29] also made a distinction between active and inactive travel and reported almost three times more minutes per day being spent on it than our study. These differences could be a result of us only using everyday destinations, whereas Sprod et al included every destination.…”

Section: Discussioncontrasting

confidence: 81%

See 1 more Smart Citation

Time allocation to active daily domains, physical activity, and health indicators in older adults: Cross-sectional results from the OUTDOOR ACTIVE study.

Stalling

Albrecht

Doerwald

et al. 2020

Preprint

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Background Physical activity (PA) is one of the key determinants of healthy ageing. Research showed that time allocation plays an important role in PA. Therefore, an understanding of the time use of older adults is crucial for developing PA programs. The aim of this study was to examine the associations of time allocation and objectively measured PA, and several health indicators in older adults. Methods In this cross-sectional study all 915 participants of the OUTDOOR ACTIVE study were included. The participants were 65 to 75 years old and resided in a subdistrict of Bremen, Germany (50.9% female). The active daily domains were derived from the SLOTH model (leisure activities, occupation, active transport, home-based activities). PA was objectively measured with accelerometers over seven consecutive days. Binary logistic regressions were used to test the associations of total PA and time spent in the domains with several health indicators (self-rated health, overweight, obesity, activities of daily living (ADL), handgrip strength). Results Participants over the age of 70 years were significantly less physically active than those under 70 years and women were significantly more physically active than men. Regardless of age and sex, most time was spent on home-based activities (women: 118.5 ± 87.8 min/day; men: 80.2 ± 69.4 min/day). Both PA and time spent on leisure activities were associated with a lower risk of bad self-rated health (0.36; 95%-CL: 0.20, 0.65 for PA; 0.93; 95%-CL: 0.87, 0.99 for leisure activities) and less limitations in ADL. PA and active transport seemed to lower the risk of overweight (0.39; 95%-CL: 0.25, 0.62 for PA; 0.80; 95%-CL: 0.69, 0.93 for active transport) and obesity (0.36; 95%-CL: 0.21, 0.60 for PA; 0.77; 95%-CL: 0.64, 0.92 for active transport). Having an occupation was associated with a lower risk of bad self-rated health (0.60; 95%-CL: 0.40, 0.92). Conclusions The results of this study provide insights in the time allocation to active daily domains and total PA of older adults, as well as the associations with health indicators. These findings have important implications for the development of PA programs. Future research should examine the associations further in longitudinal studies.

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Section: Discussionsupporting

confidence: 90%

Section: Discussioncontrasting

confidence: 81%

Time allocation to active daily domains, physical activity, and health indicators in older adults: Cross-sectional results from the OUTDOOR ACTIVE study.

Stalling

Albrecht

Doerwald

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Males tended to spend more time each day in screen-based (+67 min/d; p < .001) and physical activities (+21 min/d; p < .001), while females spent more time doing household chores (+19 min/d; p < .001), engaging in selfcare (+26 min/d; p < .001), study (+26 min/d; ns), and socio-cultural activities (+13 min/d; ns). These are very stereotypical time use differences found across all age groups (Ferrar et al, 2012;Sprod et al, 2016). These gender differences are important to remember when supporting students in managing their time; targeted support for the gender groups may be needed.…”

Section: Group Differencesmentioning

confidence: 95%

“…Study modes are becoming more diverse (van der Meer et al 2010) and many students have extra-curricular commitments competing for their time, such as part-time work (McInnis & Hartley, 2002) or family/caring responsibilities (Coates, 2010). Time use is also highly stereotyped with expectations around gender, age and status (Ferrar, Olds, & Walters, 2012;Sprod et al, 2016). For example, young male students may be expected to play sport and consume sport on television, go drinking with their male friends, and work to support themselves.…”

Section: The Importance Of Time Management Skills In the First Yearmentioning

confidence: 99%

Study and Life: How first year university students use their time

Richardson

King

Olds

et al. 2018

SUCCESS

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Starting university changes the way students must structure their day. This study describes the patterns of time use of 444 Australian first year students and explores differences between gender and age groups. Overall, students were studying on average four hours per day (h/day), sleeping eight h/day and meeting Australian physical activity guidelines. A sizable portion of students’ days were spent engaging in ‘non-modifiable’ activities including self-care, chores and travel. Stereotypical gender and age differences were observed, with males accumulating significantly more screen-time (+68 minutes per day [min/d]) and physical activity (+21 min/d), while females did more chores (+18 min/d) and self-care (+26 min/d). Younger students slept more (+42 min/d), and did fewer chores (-43 min/d). Given there are strong associations between how students use their time and health, well-being and academic success, a better understanding of how students allocate their time on a day-to-day basis will enable more effective support for students in making these changes.

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“…In general, many published studies in this area of research have utilized the Multimedia Activity Recall for Children and Adolescents (MARCA), a computerized self-report instrument for time-use measurement [ 14 ], which has since been adapted for use among adult populations and demonstrated both validity and reliability [ 16 ]. The MARCA has also been applied in a variety of settings, and previous uses include examining activity patterns among older Australian workers [ 17 ] and adolescents [ 18 - 20 ], as well as 5-year-old children [ 21 ]. Despite wide applicability of the MARCA, one limitation of currently available measurements include inability to provide a continuous measurement of time use, as it relies on 24-hour recall rather than real-time assessment within the context of daily life.…”

Section: Introductionmentioning

confidence: 99%

Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study

Ainsworth¹,

Pekmezi²,

Bowles³

et al. 2018

JMIR Cancer

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BackgroundAdvancements in mobile technology allow innovative data collection techniques such as measuring time use (ie, how individuals structure their time) for the purpose of improving health behavior change interventions.ObjectiveThe aim of this study was to examine the acceptability of a 5-day trial of the Life in a Day mobile phone app measuring time use in breast cancer survivors to advance technology-based measurement of time use.MethodsAcceptability data were collected from participants (N=40; 100% response rate) using a self-administered survey after 5 days of Life in a Day use.ResultsOverall, participants had a mean age of 55 years (SD 8) and completed 16 years of school (SD 2). Participants generally agreed that learning to use Life in a Day was easy (83%, 33/40) and would prefer to log activities using Life in a Day over paper-and-pencil diary (73%, 29/40). A slight majority felt that completing Life in a Day for 5 consecutive days was not too much (60%, 24/40) or overly time-consuming (68%, 27/40). Life in a Day was rated as easy to read (88%, 35/40) and navigate (70%, 32/40). Participants also agreed that it was easy to log activities using the activity timer at the start and end of an activity (90%, 35/39). Only 13% (5/40) downloaded the app on their personal phone, whereas 63% (19/30) of the remaining participants would have preferred to use their personal phone. Overall, 77% (30/39) of participants felt that the Life in a Day app was good or very good. Those who agreed that it was easy to edit activities were significantly more likely to be younger when compared with those who disagreed (mean 53 vs 58 years, P=.04). Similarly, those who agreed that it was easy to remember to log activities were more likely to be younger (mean 52 vs 60 years, P<.001). Qualitative coding of 2 open-ended survey items yielded 3 common themes for Life in a Day improvement (ie, convenience, user interface, and reminders).ConclusionsA mobile phone app is an acceptable time-use measurement modality. Improving convenience, user interface, and memory prompts while addressing the needs of older participants is needed to enhance app utility.Trial RegistrationClinicalTrials.gov NCT00929617; https://clinicaltrials.gov/ct2/show/NCT00929617 (Archived by WebCite at http://www.webcitation.org/6z2bZ4P7X)

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Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

Cited by 6 publications

References 24 publications

Time allocation to active daily domains, physical activity, and health indicators in older adults: Cross-sectional results from the OUTDOOR ACTIVE study.

Time allocation to active daily domains, physical activity, and health indicators in older adults: Cross-sectional results from the OUTDOOR ACTIVE study.

Study and Life: How first year university students use their time

Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study

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