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Physical Activity Accumulated Across Adulthood and Resting Heart Rate at Age 41–46 Years in Women: Findings From the Menarche to Premenopause Study

Gregore I. Mielke, Jenny Doust, Hsiu-Wen Chan, and Gita D. Mishra

: Australian longitudinal study on women’s health . Int J Epidemiol . 2015 ; 44 ( 5 ): 1547a – 1547f . doi:10.1093/ije/dyv110 24. World Health Organization . WHO Technical Specifications for Automated Non-Invasive Blood Pressure Measuring Devices With Cuff . World Health Organization ; 2020 . 25. Brown

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Examination of Physical Activity, Organized Sport, and Sitting Time Among Women and Mothers From Culturally and Linguistically Diverse Backgrounds

Susan Paudel, Gita D. Mishra, Jenny Veitch, Gregore I. Mielke, and Kylie D. Hesketh

used data from the 1973 to 1978 cohort of the Australian Longitudinal Study on Women’s Health (ALSWH; https://alswh.org.au/). ALSWH details have been reported previously. 33 Briefly, in 1996 the ALSWH recruited 3 age cohorts of Australian women (born 1973–1978, 1946–1951, and 1921–1926) from the

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Correlates of Sitting Time in Working Age Australian Women: Who Should Be Targeted With Interventions to Decrease Sitting Time?

Jannique G. Z. van Uffelen, Kristiann C. Heesch, and Wendy Brown

Background:

While there is emerging evidence that sedentary behavior is negatively associated with health risk, research on the correlates of sitting time in adults is scarce.

Methods:

Self-report data from 7724 women born between 1973–1978 and 8198 women born between 1946–1951 were collected as part of the Australian Longitudinal Study on Women’s Health. Linear regression models were computed to examine whether demographic, family and caring duties, time use, health, and health behavior variables were associated with weekday sitting time.

Results:

Mean sitting time (SD) was 6.60 (3.32) hours/day for the 1973–1978 cohort and 5.70 (3.04) hours/day for the 1946–1951 cohort. Indicators of socioeconomic advantage, such as full-time work and skilled occupations in both cohorts and university education in the mid-age cohort, were associated with high sitting time. A cluster of ‘healthy behaviors’ was associated with lower sitting time in the mid-aged women (moderate/high physical activity levels, nonsmoking, nondrinking). For both cohorts, sitting time was highest in women in full-time work, in skilled occupations, and in those who spent the most time in passive leisure.

Conclusions:

The results suggest that, in young and mid-aged women, interventions for reducing sitting time should focus on both occupational and leisure-time sitting.

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Prospective Relationships Between Physical Activity and Optimism in Young and Mid-aged Women

Toby G. Pavey, Nicola W. Burton, and Wendy J Brown

Background:

There is growing evidence that regular physical activity (PA) reduces the risk of poor mental health. Less research has focused on the relationship between PA and positive wellbeing. The study aims were to assess the prospective associations between PA and optimism, in both young and mid-aged women.

Methods:

9688 young women (born 1973–1978) completed self-report surveys in 2000 (age 22 to 27), 2003, 2006, and 2009; and 11,226 mid-aged women (born 1946–1951) completed surveys in 2001 (age 50–55) 2004, 2007, and 2010, as part of the Australian Longitudinal Study on Women’s Health. Generalized estimating equation models (with 3-year time lag) were used to examine the relationship between PA and optimism in both cohorts.

Results:

In both cohorts, women reporting higher levels of PA had greater odds of reporting higher optimism over the 9-year period, (young, OR = 5.04, 95% CI: 3.85–6.59; mid-age, OR = 5.77, 95% CI: 4.76–7.00) than women who reported no PA. Odds were attenuated in adjusted models, with depression accounting for a large amount of this attenuation (young, OR = 2.00, 95% CI: 1.57–2.55; mid-age, OR = 1.64 95% CI: 1.38–1.94).

Conclusions:

Physical activity can promote optimism in young and mid-aged women over time, even after accounting for the negative effects of other psychosocial indicators such as depression.

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Life Course Epidemiology Applied to Physical Activity Research

Gregore Iven Mielke, Ding Ding, Tracy Kolbe-Alexander, Esther van Sluijs, and Pedro C. Hallal

for several decades, and contemporary cohorts established since 2010. These influential studies include the 1970 British Cohort Study, 9 the Australian Longitudinal Study on Women’s Health, 10 the Pelotas (Brazil) Birth Cohort studies, 3 , 5 – 8 the Southampton Women’s Survey, 4 the Singapore

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The Relationship Between Habitual Physical Activity, Sitting Time, and Cognitive Function in Young Adult Women

Eka Peng Cox, Rebecca Cook, Nicholas O’Dwyer, Cheyne Donges, Helen Parker, Hoi Lun Cheng, Katharine Steinbeck, Janet Franklin, and Helen O’Connor

WJ . Weight gain, overweight, and obesity: determinants and health outcomes from the Australian Longitudinal Study on Women’s Health . Curr Obes Rep . 2014 ; 3 ( 1 ): 46 – 53 . PubMed ID: 26626467 doi:10.1007/s13679-013-0077-4 26626467 10.1007/s13679-013-0077-4 19. Cook RL , O’Dwyer NJ

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Physical Activity and Sitting Time From 16 to 24 Weeks of Pregnancy to 12, 24, and 48 Months Postpartum: Findings From the 2015 Pelotas (Brazil) Birth Cohort Study

Gregore I. Mielke, Inacio Crochemore-Silva, Marlos Rodrigues Domingues, Mariangela Freitas Silveira, Andréa Dâmaso Bertoldi, and Wendy J. Brown

 months before pregnancy and in each trimester of the gestational period, and showed a sharp decrease during pregnancy. 6 Three months after delivery, the levels of physical activity were still similar to those in the third trimester. Data from the Australian Longitudinal Study on Women’s Health also

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Physical Activity, Sedentary Behavior, and Educational Outcomes Among Australian University Students: Cross-Sectional and Longitudinal Associations

Lena Babaeer, Michalis Stylianou, and Sjaan R. Gomersall

Warwick-Edinburgh Mental Well-Being Scale 30 ), psychological distress (using the Kessler Psychological Distress Scale 31 ), fruit and vegetable intake (ie, adherence to the Australian dietary guidelines 32 ), smoking status and alcohol consumption (using items of the Australian Longitudinal Study on