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. 2022 Mar 21;22(1):84.
doi: 10.1186/s12905-022-01664-7.

Physical activity and health-related quality of life among high-risk women for type 2 diabetes in the early years after pregnancy

Niina Sahrakorpi  1   2 , Elina Engberg  3   4 , Beata Stach-Lempinen  5 , Tuija H Tammelin  6 , Janne Kulmala  6 , Risto P Roine  7   8 , Saila B Koivusalo  7   9
Affiliations

Physical activity and health-related quality of life among high-risk women for type 2 diabetes in the early years after pregnancy

Niina Sahrakorpi et al. BMC Womens Health. .

Abstract

Background: Previous studies have shown that physical activity (PA) correlates positively with health-related quality of life (HRQoL) in the general population. Few studies have investigated associations between device-measured PA and HRQoL among premenopausal women at risk for type 2 diabetes (T2D). In addition to physical well-being, general well-being improved by PA has been suggested to strengthen PA's benefits in reducing metabolic diseases. The aim of this study was to examine the associations between PA and HRQoL (general and dimensions) among high-risk women in the early post-pregnancy years when T2D risk is highest and to estimate whether current obesity or prior gestational diabetes (GDM) modified these associations.

Methods: This cross-sectional study of high-risk women [body mass index (BMI) ≥ 30 kg/m2 and/or prior GDM)]4-6 years after delivery measured sleep, sedentary time, daily steps, and light (LPA), moderate-to-vigorous (MVPA), and vigorous PA (VPA) with the SenseWear ArmbandTM accelerometer for seven days and HRQoL with the 15D instrument.

Results: The analyses included 204 women with a median (IQR) age of 39 (6.0) years and a median BMI of 31.1 kg/m2 (10.9). 54% were currently obese (BMI ≥ 30 kg/m2), and 70% had prior gestational diabetes (GDM+). Women with obesity had lower PA levels than women with normal weight or overweight (p < 0.001) but there was no difference between the GDM+ or GDM- women. Women with both current obesity and GDM+ had highest sedentary time and lowest PA levels. The whole sample's median 15D score was 0.934 (IQR 0.092), lower among women with obesity compared to the others (p < 0.001), but not different between GDM+ or GDM-. There was a positive correlation between VPA (adjusted rs = 0.262 p = 0.001) and the 15D score. After grouping according to BMI (< and ≥ 30 kg/m2), the associations remained significant only in women without obesity. Among them, sleep, total steps, MVPA, and VPA were positively associated with 15D.

Conclusions: Higher PA levels are associated with better HRQoL among high-risk women with normal weight and overweight but no differences were found among women affected by obesity in the early years after pregnancy. Trial registration Ethics committees of Helsinki University Hospital (Dnro 300/e9/06) and South Karelian Central Hospital (Dnro 06/08).

Keywords: 15D; Device-measured physical activity; Gestational diabetes; HRQoL; Obesity; Postpartum; Sedentary behaviour; Women.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
15D profiles of women with BMI < 30 kg/m2 and BMI ≥ 30 kg/m2; scores presented as means
Fig. 2
Fig. 2
15D profiles of GDM- and GDM+ women; scores presented as means
See this image and copyright information in PMC

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References

    1. International Diabetes Federation (IDF). IDF Diabetes Atlas. 9th edition. 2019. http://www.diabetesatlas.org. Accessed 3 May 2021.
    1. Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. Lancet. 2017;389(10085):2239–2251. - PubMed
    1. Ahlqvist E, et al. Novel subgroups of Adult-Onset Diabetes and tejir association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6(5):361–369. - PubMed
    1. Slieker RC, Donelly LA, Fitibaldi H, Bouland GA, Giordano GN, Åkerlund M, Gerl MJ, et al. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study. Diabetologia. 2021;64(9):1982–1989. - PMC - PubMed
    1. Pigeyre M, et al. Validation of the classification for type 2 diabetes into five subgroups: a report from ORIGIN trial. Diabetologia. 2022;65(1):206–215. - PubMed

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