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  • Author: Tessa M. Pollard x
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Tessa M. Pollard and Cornelia Guell

Background:

We assessed the quality of data on physical activity obtained by recall from Muslim women of South Asian origin, and the feasibility of using accelerometer-based physical activity monitors to provide more objective measures of physical activity in this group.

Methods:

In this largely qualitative study, 22 British Pakistani women were asked to wear accelerometers (the GT1M Actigraph and/or the Sensewear Armband) for 4 days, provided 2 24-hour recalls of activities, and were interviewed about their experiences with the monitors.

Results:

Women reported spending most of their time in housework and childcare, activities which generated the majority of recorded bouts of moderate to vigorous physical activity. However, women had difficulty in recalling the timing, and assessing the intensity, of these usually unstructured activities. A significant minority of accelerometer datasets were incomplete and some women reported either forgetting to wear the acceler-ometer or finding it intrusive.

Conclusions:

Questionnaires are unlikely to provide an accurate assessment of physical activity in this group of women. This suggests that accelerometer data will be preferable. However, collecting sufficient data for large-scale studies using activity monitors in this population will be challenging.

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Janelle M. Wagnild and Tessa M. Pollard

Background: Television (TV) time is associated with poor cardiometabolic health outcomes. This finding is commonly attributed to duration of sitting or patterns of sitting associated with high TV time, but there is very little evidence on this link. Methods: Pregnant women (n = 167) at risk of gestational diabetes wore an activPAL accelerometer and self-reported their usual TV time in the second trimester. Generalized linear mixed models were used to compare objectively measured total sedentary time (ST), prolonged ST (bouts ≥30 min), and breaks in ST for all hours and evening hours (6 PM–11 PM) between those with high (≥2 h/d) and low TV time. Results: Over all waking hours, those with high TV time had fewer breaks in ST than those with low TV time, exp(b) 0.92; 95% confidence interval, 0.86 to 0.998; there were no differences in total ST or prolonged ST between the 2 groups. Those with high TV time had significantly higher evening ST (b = 9.9; 95% confidence interval, 0.5 to 19.2); there were no differences in prolonged ST or breaks in ST during evening hours. Conclusions: These findings suggest that high TV time may be associated with higher evening ST and fewer breaks in ST. The link between TV time and sitting patterns requires further investigation.