Literature DB >> 22368229

Influence of cut-points on patterns of accelerometry-measured free-living physical activity in rural and urban black South African women.

Ian Cook1, Marianne Alberts, Estelle V Lambert.   

Abstract

BACKGROUND: We describe the effect of 2 different accelerometer cut-points on physical activity (PA) patterns in rural and urban black South African women.
METHODS: Hip-mounted uni-axial accelerometers were worn for 6 to 7 days by rural (n = 272) and urban (n = 16) participants. Twenty-hour (4 AM to 12 AM) PA counts (cts) and volumes (min·day⁻¹) were extracted: sedentary (SED, <100 cts·min⁻¹), light (100-759 cts·min⁻¹), moderate-1 (MOD1, 760-1951 cts·min⁻¹), moderate-2 to vigorous (MOD2VG, ≥1952 cts·min⁻¹), and bouts ≥10 min for ≥760 cts·min⁻¹ (MOD1VGbt) and ≥1952 cts·min⁻¹ (MOD2VGbt).
RESULTS: Valid data were obtained from 263 rural women and 16 urban women. Total counts and average counts were higher (+80,399 cts·day⁻¹, +98 cts·min⁻¹.day⁻¹) (P < .01), SED lower (-61 min·day⁻¹, P = .0042), MOD1 higher (+65 min·day⁻¹, P < .0001), and MOD1VGbt higher (+19 min·day⁻¹, P = .0179) in rural women compared with urban women. Estimated adherence (≥30 min·day⁻¹ for 5 days·wk⁻¹) was 1.4-fold higher in rural women than urban women for MOD-1VGbt, but 3.3-fold higher in urban women than rural women for MOD2VGbt.
CONCLUSIONS: Rural women accumulate greater amounts of PA than urban women within a particular count band. Depending on which moderate PA cut-point was used to estimate PA public health adherence, rural women could be classified as less physically active than urban women.

Entities:  

Mesh:

Year:  2012        PMID: 22368229     DOI: 10.1123/jpah.9.2.300

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  10 in total

1.  Review: Metabolic Syndrome in Black South African Women.

Authors:  Philippe Jean-Luc Gradidge; Nigel J Crowther
Journal:  Ethn Dis       Date:  2017-04-20       Impact factor: 1.847

2.  The Role of Lifestyle and Psycho-Social Factors in Predicting Changes in Body Composition in Black South African Women.

Authors:  Philippe Jean-Luc Gradidge; Shane A Norris; Lisa K Micklesfield; Nigel J Crowther
Journal:  PLoS One       Date:  2015-07-14       Impact factor: 3.240

3.  Combined influence of epoch length, cut-point and bout duration on accelerometry-derived physical activity.

Authors:  Mark Orme; Katrien Wijndaele; Stephen J Sharp; Kate Westgate; Ulf Ekelund; Soren Brage
Journal:  Int J Behav Nutr Phys Act       Date:  2014-03-10       Impact factor: 6.457

4.  Effectiveness of a group diabetes education programme in under-served communities in South Africa: a pragmatic cluster randomized controlled trial.

Authors:  R J Mash; H Rhode; M Zwarenstein; S Rollnick; C Lombard; K Steyn; N Levitt
Journal:  Diabet Med       Date:  2014-05-20       Impact factor: 4.359

5.  Objectively-measured step cadence and walking patterns in a rural African setting: a cross-sectional analysis.

Authors:  Ian Cook
Journal:  BMC Res Notes       Date:  2022-05-04

6.  Objectively determined habitual physical activity in South African adolescents: the PAHL study.

Authors:  Sandra N Wushe; Sarah J Moss; Makama A Monyeki
Journal:  BMC Public Health       Date:  2014-05-19       Impact factor: 3.295

7.  Patterns, levels and correlates of self-reported physical activity in urban black Soweto women.

Authors:  Philippe Jean-Luc Gradidge; Nigel J Crowther; Esnat D Chirwa; Shane A Norris; Lisa K Micklesfield
Journal:  BMC Public Health       Date:  2014-09-08       Impact factor: 3.295

8.  Comparisons of intensity-duration patterns of physical activity in the US, Jamaica and 3 African countries.

Authors:  Lara R Dugas; Pascal Bovet; Terrence E Forrester; Estelle V Lambert; Jacob Plange-Rhule; Ramon A Durazo-Arvizu; David Shoham; Jacolene Kroff; Guichan Cao; Richard S Cooper; Soren Brage; Ulf Ekelund; Amy Luke
Journal:  BMC Public Health       Date:  2014-08-27       Impact factor: 3.295

9.  Resilience does not explain the dissociation between chronic pain and physical activity in South Africans living with HIV.

Authors:  Antonia L Wadley; Duncan Mitchell; Peter R Kamerman
Journal:  PeerJ       Date:  2016-09-13       Impact factor: 2.984

10.  The Prevalence and Determinants of Chronic Non-Communicable Disease Risk Factors amongst Adults in the Dikgale Health Demographic and Surveillance System (HDSS) Site, Limpopo Province of South Africa.

Authors:  Eric Maimela; Marianne Alberts; Sewela E P Modjadji; Solomon S R Choma; Sekgothe A Dikotope; Thembelihle S Ntuli; Jeane-Pierre Van Geertruyden
Journal:  PLoS One       Date:  2016-02-16       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.