» Articles » PMID: 38279820

Association of Sociodemographic, Anthropometric, and Sleep Quality Factors with Accelerometer-measured Sitting and Physical Activity Times Among Emirati Working Women During the COVID-19 Pandemic: A Cross-sectional Study

Overview
Date 2024 Jan 27
PMID 38279820
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Although a significant lack of physical activity has been linked to an increase in obesity among Emirati women, the factors associated with accelerometer-measured sitting and physical activity times in Emirati women remain unclear.

Objectives: To explore the association of accelerometer-measured sitting and physical activity times with sociodemographic, anthropometric, and sleep quality factors among Emirati working women.

Design: A cross-sectional study.

Methods: A convenience sample of 163 healthy working Emirati women aged 18-45 years was used. Sedentary and physical activity times were measured using the Fibion accelerometers worn on the thighs for 4-7 days. General demographic information, anthropometric measurements, and self-reported sleep quality (Pittsburgh sleep quality index score) were collected. Only participants who had valid data (i.e. wear time of ⩾600 min (10 h) per day for a minimum of 4-7 days) were evaluated. All values were normalized to a 16-h day to mitigate differences in wear time among the participants.

Results: Overall, 110 Emirati women were included. The mean sitting time per 16-h day was 11.6 ± 1.1 h; mean moderate activity time per day, 40.88 ± 17.99 min; and mean vigorous activity time per day, 2.41 ± 1.21 min. Longer sitting time was associated with high body fat, secondary education, and divorce. Sitting time was reduced in those with good sleep quality. Moderate-to-vigorous physical activity time was increased in women with postgraduate education and was decreased in women with a longer work experience and with comorbidities. The total activity time increased with increasing age and good sleep quality, whereas it decreased with increasing body fat, presence of at least one comorbidity, secondary education, and divorce.

Conclusion: Certain demographic, anthropometric, and sleep quality factors were associated with accelerometer-measured sitting and physical activity times among Emirati working women. Future longitudinal studies should consider these factors when investigating predictors of physical activity levels in this population.

Citing Articles

Health and fitness trends in the post-COVID-19 era in the United Arab Emirates: A cross-sectional study.

Batrakoulis A, Banicevic Z, Banicevic I, Arumugam A, Marovic I, Krstic N AIMS Public Health. 2024; 11(3):861-885.

PMID: 39416891 PMC: 11474326. DOI: 10.3934/publichealth.2024044.


Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.

Liang Y, Wang C, Hsiao C J Med Internet Res. 2024; 26:e59497.

PMID: 39259962 PMC: 11425027. DOI: 10.2196/59497.


Concurrent validity between self-reported International Physical Activity Questionnaire Short Form and Fibion accelerometer data among young adults in the UAE.

Arumugam A, Alsaafin N, Shalash R, Qadah R, Al-Sharman A, Moustafa I Eur J Med Res. 2024; 29(1):426.

PMID: 39155363 PMC: 11331689. DOI: 10.1186/s40001-024-01975-5.


Are accelerometer-measured sitting and physical activity times associated with muscle mass and strength in healthy young adults in the UAE?.

Qadah R, Al-Sharman A, Shalash R, Arumugam A Heliyon. 2024; 10(10):e30899.

PMID: 38770340 PMC: 11103532. DOI: 10.1016/j.heliyon.2024.e30899.

References
1.
Miller Y, Trost S, Brown W . Mediators of physical activity behavior change among women with young children. Am J Prev Med. 2002; 23(2 Suppl):98-103. DOI: 10.1016/s0749-3797(02)00484-1. View

2.
Pesola A, Laukkanen A, Heikkinen R, Sipila S, Saakslahti A, Finni T . Accelerometer-assessed sedentary work, leisure time and cardio-metabolic biomarkers during one year: Effectiveness of a cluster randomized controlled trial in parents with a sedentary occupation and young children. PLoS One. 2017; 12(8):e0183299. PMC: 5570316. DOI: 10.1371/journal.pone.0183299. View

3.
Paing A, McMillan K, Kirk A, Collier A, Hewitt A, Dunstan D . Diurnal patterns of objectively measured sedentary time and interruptions to sedentary time are associated with glycaemic indices in type 2 diabetes. J Sci Med Sport. 2020; 23(11):1074-1079. DOI: 10.1016/j.jsams.2020.06.003. View

4.
Androutsos O, Gerasimidis K, Karanikolou A, Reilly J, Edwards C . Impact of eating and drinking on body composition measurements by bioelectrical impedance. J Hum Nutr Diet. 2014; 28(2):165-71. DOI: 10.1111/jhn.12259. View

5.
Dalibalta S, Majdalawieh A, Yousef S, Gusbi M, Wilson J, Tully M . Objectively quantified physical activity and sedentary behaviour in a young UAE population. BMJ Open Sport Exerc Med. 2021; 7(1):e000957. PMC: 7797257. DOI: 10.1136/bmjsem-2020-000957. View