Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors

doi:10.1016/j.whi.2022.03.005

. 2022 Sep-Oct;32(5):490-498.

doi: 10.1016/j.whi.2022.03.005. Epub 2022 Apr 28.

Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors

Bridgette Do¹, Jennifer Zink², Tyler B Mason², Britni R Belcher², Genevieve F Dunton³

Affiliations

¹ Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California. Electronic address: bridgetd@usc.edu.
² Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.
³ Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California.

PMID: 35491346
PMCID: PMC9532341
DOI: 10.1016/j.whi.2022.03.005

Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors

Bridgette Do et al. Womens Health Issues. 2022 Sep-Oct.

. 2022 Sep-Oct;32(5):490-498.

doi: 10.1016/j.whi.2022.03.005. Epub 2022 Apr 28.

Authors

Bridgette Do¹, Jennifer Zink², Tyler B Mason², Britni R Belcher², Genevieve F Dunton³

Affiliations

¹ Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California. Electronic address: bridgetd@usc.edu.
² Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.
³ Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California.

PMID: 35491346
PMCID: PMC9532341
DOI: 10.1016/j.whi.2022.03.005

Abstract

Background: Dynamic patterns of how physical activity and sedentary time are accumulated across the day are associated with health outcomes, independent of total activity levels. Individual factors may influence activity patterns in mothers, but these associations are unknown. This study examined multivariable associations between demographic, employment, and household factors and day-level pattern metrics.

Methods: Mothers (N = 200) of school-aged children (ages 8-12 years) participated in 6 semi-annual 7-day assessments. Waist-worn Actigraph GT3X accelerometers assessed daily moderate-to-vigorous physical activity (MVPA; minutes, number of short bouts [<10 minutes], proportion of long bouts [≥20 minutes]) and sedentary time (minutes, number of breaks, proportion of long bouts [≥60 minutes], temporal dispersion). Multilevel models examined associations between individual characteristics and activity metrics.

Results: There were 4,930 day-level observations. Having a college degree was associated with fewer short MVPA bouts (B = -2.67), more sedentary minutes (B = 21.66), greater long sedentary bouts (odds ratio = 1.50), and having sedentary time less evenly distributed across the day (B = 0.01). Working full-time was associated with more short MVPA bouts (B = 1.39) and breaks in sedentary time (B = 2.08). Having at least 1 infant (<6 months old) in the same household was associated with fewer MVPA minutes (B = -0.11) and short MVPA bouts (B = -4.46), whereas having at least 1 young child (6 months-5 years old) in the same household was associated with fewer sedentary minutes (B = -11.85) and fewer long sedentary bouts (odds ratio = 0.70).

Conclusions: Day-level pattern metrics show differences not captured when examining total volume alone. Results provide more nuanced information as to how activity is accumulated in terms of bouts and breaks, which can inform programs to increase MVPA and reduce sedentary time by elucidating subpopulations that should be targeted by health behavior interventions.

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Declaration of interests: None.

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References

1. Aadland E, & Ylvisåker E (2015). Reliability of the Actigraph GT3X+ Accelerometer in Adults under Free-Living Conditions. PLoS ONE, 10(8), e0134606. 10.1371/journal.pone.0134606 - DOI - PMC - PubMed
1. Archer E, Lavie CJ, McDonald SM, Thomas DM, Hébert JR, Taverno Ross SE, McIver KL, Malina RM, & Blair SN (2013). Maternal inactivity: 45-year trends in mothers’ use of time. Mayo Clinic Proceedings, 88(12), 1368–1377. 10.1016/j.mayocp.2013.09.009 - DOI - PubMed
1. Bellows-Riecken KH, & Rhodes RE (2008). A birth of inactivity? A review of physical activity and parenthood. Preventive Medicine, 46(2), 99–110. 10.1016/j.ypmed.2007.08.003 - DOI - PubMed
1. Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, & Alter DA (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Annals of Internal Medicine, 162(2), 123–132. 10.7326/M14-1651 - DOI - PubMed
1. Boerema ST, van Velsen L, Vollenbroek MM, & Hermens HJ (2020). Pattern measures of sedentary behaviour in adults: A literature review. Digital Health, 6, 2055207620905418. 10.1177/2055207620905418 - DOI - PMC - PubMed

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[1] Aadland E, & Ylvisåker E (2015). Reliability of the Actigraph GT3X+ Accelerometer in Adults under Free-Living Conditions. PLoS ONE, 10(8), e0134606. 10.1371/journal.pone.0134606 - DOI - PMC - PubMed

[2] Aadland E, & Ylvisåker E (2015). Reliability of the Actigraph GT3X+ Accelerometer in Adults under Free-Living Conditions. PLoS ONE, 10(8), e0134606. 10.1371/journal.pone.0134606 - DOI - PMC - PubMed

[3] Archer E, Lavie CJ, McDonald SM, Thomas DM, Hébert JR, Taverno Ross SE, McIver KL, Malina RM, & Blair SN (2013). Maternal inactivity: 45-year trends in mothers’ use of time. Mayo Clinic Proceedings, 88(12), 1368–1377. 10.1016/j.mayocp.2013.09.009 - DOI - PubMed

[4] Archer E, Lavie CJ, McDonald SM, Thomas DM, Hébert JR, Taverno Ross SE, McIver KL, Malina RM, & Blair SN (2013). Maternal inactivity: 45-year trends in mothers’ use of time. Mayo Clinic Proceedings, 88(12), 1368–1377. 10.1016/j.mayocp.2013.09.009 - DOI - PubMed

[5] Bellows-Riecken KH, & Rhodes RE (2008). A birth of inactivity? A review of physical activity and parenthood. Preventive Medicine, 46(2), 99–110. 10.1016/j.ypmed.2007.08.003 - DOI - PubMed

[6] Bellows-Riecken KH, & Rhodes RE (2008). A birth of inactivity? A review of physical activity and parenthood. Preventive Medicine, 46(2), 99–110. 10.1016/j.ypmed.2007.08.003 - DOI - PubMed

[7] Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, & Alter DA (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Annals of Internal Medicine, 162(2), 123–132. 10.7326/M14-1651 - DOI - PubMed

[8] Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, & Alter DA (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Annals of Internal Medicine, 162(2), 123–132. 10.7326/M14-1651 - DOI - PubMed

[9] Boerema ST, van Velsen L, Vollenbroek MM, & Hermens HJ (2020). Pattern measures of sedentary behaviour in adults: A literature review. Digital Health, 6, 2055207620905418. 10.1177/2055207620905418 - DOI - PMC - PubMed

[10] Boerema ST, van Velsen L, Vollenbroek MM, & Hermens HJ (2020). Pattern measures of sedentary behaviour in adults: A literature review. Digital Health, 6, 2055207620905418. 10.1177/2055207620905418 - DOI - PMC - PubMed

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Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors

Affiliations

Physical Activity and Sedentary Time Among Mothers of School-Aged Children: Differences in Accelerometer-Derived Pattern Metrics by Demographic, Employment, and Household Factors

Authors

Affiliations

Abstract

Conflict of interest statement

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References

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Grants and funding

LinkOut - more resources

Full Text Sources

Medical