Literature DB >> 28477211

Which Women are Highly Active Over a 12-Year Period? A Prospective Analysis of Data from the Australian Longitudinal Study on Women's Health.

Toby G Pavey1,2, Tracy L Kolbe-Alexander3, Leonie Uijtdewilligen4, Wendy J Brown3.   

Abstract

INTRODUCTION: Current Australian physical activity (PA) guidelines encourage adults to accumulate 150-300 min of moderate to vigorous PA each week. Some critics assert that 300 min is unachievable.
OBJECTIVES: The aims of this study were to identify the proportion of younger and mid-aged women who met the 300-min recommendation over a 12-year period, examine how the "highly active" women achieved this level of activity (in terms of walking, moderate activity, and vigorous activity), and to identify the sociodemographic, biological, lifestyle, and work-related determinants of being "highly active".
METHODS: Younger (n = 7843) and mid-aged (n = 8043) participants in the Australian Longitudinal Study on Women's Health completed triennial surveys between 2000 and 2013, when their ages were 24.6-36.3 and 52.5-64.5 years, respectively. Self-reported PA was assessed as time spent in walking, moderate activity, and vigorous activity in the previous week; an index of MET.min/week was derived and dichotomized as <1000 MET.min/week (<300 min; not highly active) or ≥1000 MET.min/week (≥300 min; highly active). Generalized estimating equations were used to examine univariable and multivariable associations between a number of sociodemographic, lifestyle, and health variables with PA status (measured at every survey).
RESULTS: In the younger cohort, the proportion who were highly active decreased from 40% in 2000 to 31% in 2012. High levels of activity were achieved through a combination of walking (39.1-45.1% of total activity) and vigorous PA (41.8-47.7%). In the mid-age cohort, the proportion of women who were highly active increased from 32% in 2001 to 47% in 2013; this was achieved predominantly through walking (55.8-59.7%). In multi-variable models, the highest odds for being in the high PA category (odds ratios [ORs] ≥ 1.20; p < 0.001) were for younger women who were single, those who worked long full-time hours, those who drank any quantity of alcohol, and those who sat for less than 8 h/day. In the mid-age cohort, the highest odds for being in the high PA category (ORs ≥1.20; p < 0.001) were for women with post-school education, those who were retired, those who were low-risk drinkers (compared with non-drinkers), those who sat for less than 8 h/day, and those with lower levels of stress. DISCUSSION: Our findings clearly indicate that the upper limit of the Australian PA guidelines is achievable for large numbers of women. Factors associated with being highly active were different for younger and mid-age women, but healthy weight, high education, and paid work (full-time in the younger women, part-time in mid-age) were common characteristics of highly active women in both cohorts.

Entities:  

Keywords:  High Physical Activity; Physical Activity; Vigorous Activity; Vigorous Physical Activity; Young Cohort

Mesh:

Year:  2017        PMID: 28477211     DOI: 10.1007/s40279-017-0732-0

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  26 in total

1.  Determinants of physical activity in a cohort of young adult women. Who is at risk of inactive behaviour?

Authors:  Léonie Uijtdewilligen; Geeske M E E Peeters; Jannique G Z van Uffelen; Jos W R Twisk; Amika S Singh; Wendy J Brown
Journal:  J Sci Med Sport       Date:  2014-02-12       Impact factor: 4.319

Review 2.  Global physical activity levels: surveillance progress, pitfalls, and prospects.

Authors:  Pedro C Hallal; Lars Bo Andersen; Fiona C Bull; Regina Guthold; William Haskell; Ulf Ekelund
Journal:  Lancet       Date:  2012-07-21       Impact factor: 79.321

3.  Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study.

Authors:  F B Hu; R J Sigal; J W Rich-Edwards; G A Colditz; C G Solomon; W C Willett; F E Speizer; J E Manson
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

4.  Sitting time and all-cause mortality risk in 222 497 Australian adults.

Authors:  Hidde P van der Ploeg; Tien Chey; Rosemary J Korda; Emily Banks; Adrian Bauman
Journal:  Arch Intern Med       Date:  2012-03-26

Review 5.  Life events and change in leisure time physical activity: a systematic review.

Authors:  Elina Engberg; Markku Alen; Katriina Kukkonen-Harjula; Juha E Peltonen; Heikki O Tikkanen; Heikki Pekkarinen
Journal:  Sports Med       Date:  2012-05-01       Impact factor: 11.136

6.  Concurrent and prospective associations between physical activity, walking and mental health in older women.

Authors:  Kristiann C Heesch; Nicola W Burton; Wendy J Brown
Journal:  J Epidemiol Community Health       Date:  2010-06-01       Impact factor: 3.710

7.  A life-course perspective on physical functioning in women.

Authors:  Geeske Peeters; Annette J Dobson; Dorly J H Deeg; Wendy J Brown
Journal:  Bull World Health Organ       Date:  2013-09-01       Impact factor: 9.408

8.  Life events and changing physical activity patterns in women at different life stages.

Authors:  Wendy J Brown; Kristiann C Heesch; Yvette D Miller
Journal:  Ann Behav Med       Date:  2009-06-09

9.  Adherence to physical activity recommendations and the influence of socio-demographic correlates - a population-based cross-sectional study.

Authors:  Patrick Bergman; Andrej M Grjibovski; Maria Hagströmer; Adrian Bauman; Michael Sjöström
Journal:  BMC Public Health       Date:  2008-10-22       Impact factor: 3.295

Review 10.  Promoting and maintaining physical activity in the transition to retirement: a systematic review of interventions for adults around retirement age.

Authors:  S Baxter; M Johnson; N Payne; H Buckley-Woods; L Blank; E Hock; A Daley; A Taylor; T Pavey; G Mountain; E Goyder
Journal:  Int J Behav Nutr Phys Act       Date:  2016-02-01       Impact factor: 6.457

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  1 in total

1.  Does Gender Influence Physiological Tolerance in Resuscitators When Using Personal Protection Equipment against Biological Hazards?

Authors:  Francisco Martín-Rodríguez; José Luis Martín Conty; Verónica Casado Vicente; Pedro Arnillas Gómez; Alicia Mohedano-Moriano; Miguel Ángel Castro Villamor
Journal:  Emerg Med Int       Date:  2018-10-16       Impact factor: 1.112

  1 in total

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