Physical Activity, Body Composition, and Cardiometabolic Health during Pregnancy: A Compositional Data Approach
Metadatos
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Lippincot Williams & Wilkins
Materia
Compositional data analysis Accelerometry Cardiovascular health Body fatness Gestational weight gain Gestation
Fecha
2022-12Referencia bibliográfica
Sandborg, Johanna... [et al.]. Physical Activity, Body Composition, and Cardiometabolic Health during Pregnancy: A Compositional Data Approach. Medicine & Science in Sports & Exercise: December 2022 - Volume 54 - Issue 12 - p 2054-2063 doi: [10.1249/MSS.0000000000002996]
Patrocinador
Swedish Research Counci 2016-01147; Swedish Research Council for Health, Working Life and Welfare (Forte) 2017-00088 2018-01410; Bo and Vera Ax:son Johnsons' Foundation; Strategic Research Area Health Care Science, Karolinska Institutet/Umea University; Swedish Society of Medicine; Karolinska Institutet; Lions Forskningsfond; ALF Grants, Region OEstergoetland LIO-893101 LIO-941191 M. LResumen
Purpose: The aim of this study was to examine the cross-sectional and longitudinal associations of 24-h movement behaviors (sleep,
sedentary behavior (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA)) with body composition and cardiometabolic
health in i) early and ii) late pregnancy (gestational weeks 14 and 37). Methods: This observational study utilized cross-sectional
(n = 273) and longitudinal data (n = 242) from the HealthyMoms trial. Time spent in movement behaviors over seven consecutive 24-h periods
(ActiGraph wGT3x-BT accelerometer), body composition (Bod Pod), and cardiometabolic health indicators (glucose levels, homeostatic model
for insulin resistance (HOMA-IR), systolic and diastolic blood pressure, metabolic syndrome (MetS) score) were measured in early and late pregnancy.
Results: In early pregnancy, reallocating time to MVPA from LPA, SB, and sleep was associated with lower MetS score (adjusted
γ = −0.343, P = 0.002). Correspondingly, reallocating time to LPA from SB and sleep in early pregnancy was associated with lower body weight
(adjusted γ = −5.959, P = 0.047) and HOMA-IR (adjusted γ = −0.557, P = 0.031) at the same time point. Furthermore, reallocating time to LPA from
SB and sleep in early pregnancy was associated with lower fat mass index (adjusted γ = −0.668, P = 0.028), glucose levels (adjusted γ = −0.315,
P = 0.006),HOMA-IR (adjusted γ = −0.779, P = 0.004), and MetS score (adjusted γ = −0.470, P = 0.027) in late pregnancy. The changes in behaviors
throughout pregnancy were not associated with body weight, body composition, andMetS score in late pregnancy. Conclusions: Our results
demonstrated that increasing LPA or MVPA while reducing SB and sleep was associated with lower weight and more favorable cardiometabolic
health in early pregnancy. In contrast, LPA in early pregnancy seems to be a stimulus of enough intensity to improve body composition
and cardiometabolic health indicators in late pregnancy.