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The impact of self-monitoring physical and mental health via an mHealth application on postpartum weight retention: Data from the INTER-ACT RCT.
Geusens, Femke; Van Uytsel, Hanne; Ameye, Lieveke; Devlieger, Roland; Jacquemyn, Yves; Van Holsbeke, Caroline; Bogaerts, Annick.
Afiliación
  • Geusens F; Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Van Uytsel H; REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Ameye L; REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Devlieger R; REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Jacquemyn Y; REALIFE Research Group, Research Unit Woman and Child, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
  • Van Holsbeke C; Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium.
  • Bogaerts A; Department of Obstetrics and Gynecology, Antwerp University Hospital UZA, Edegem, Belgium.
Health Promot Perspect ; 14(1): 44-52, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38623343
ABSTRACT

Background:

Postpartum weight retention (PPWR) has many health risks. Digital self-monitoring of weight can potentially make postpartum weight management easier. We aim to test to what extent the self-monitoring of weight, steps and mental health through an mHealth application increases postpartum weight loss and reduces the odds of substantial PPWR (≥5 kg).

Methods:

Participants were mothers in the intervention arm of the INTER-ACT multicenter randomized controlled trial (RCT), an inter-pregnancy lifestyle intervention among mothers with excessive gestational weight gain. Participants (n=288) had access to an mHealth application to log their weight, steps and mental health between 6 weeks and 6 months postpartum. A linear multiple regression model and a logistic regression model were run to test to what extent self-monitoring via the app increases postpartum weight loss and reduces the risk of substantial PPWR.

Results:

Women who logged their weight more often lost more weight (B=0.03, ß=0.26, CIB =[0.01,0.05], P<0.01), and had reduced odds of substantive PPWR (OR=0.99, CIOR =[0.98, 0.999], P<.05). Mental health logging reduced the odds of substantive PPWR (OR=0.98, CIOR =[0.97, 1.00], P<0.05), but was unrelated to the amount of weight loss. Steps logging was unrelated to either weight loss or substantive PPWR.

Conclusion:

Mothers with excessive gestational weight gain can benefit from app-based lifestyle interventions to reduce PPWR by self-monitoring their weight. More attention to mental health in PPWR interventions is needed.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Health Promot Perspect Año: 2024 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Health Promot Perspect Año: 2024 Tipo del documento: Article País de afiliación: Suecia