Objective: Longitudinal changes in physical activity (PA) and sedentary behavior patterns from preconception to postpartum are not fully characterized. We examined changes and baseline sociodemographic/clinical correlates of PA and sedentary behavior in women from preconception to postpartum.
Methods: The Singapore Preconception Study of Long-Term Maternal and Child Outcomes cohort recruited 1032 women planning pregnancy. Participants completed questionnaires at preconception, 34 to 36 weeks gestation, and 12 months postpartum. Repeated-measures linear regression models were used to analyze changes in walking, moderate to vigorous PA (MVPA), screen time, and total sedentary time, and to identify sociodemographic/clinical correlates associated with these changes.
Results: Of the 373 women who delivered singleton live births, 281 provided questionnaires for all time points. Walking time increased from preconception to late pregnancy but decreased postpartum (adjusted means [95% CI]: 454 [333-575], 542 [433-651], and 434 [320-547] min/wk, respectively). Vigorous-intensity PA and MVPA decreased from preconception to late pregnancy but increased postpartum (vigorous-intensity PA: 44 [11-76], 1 [-3-5], and 11 [4-19] min/wk, MVPA: 273 [174-372], 165 [95-234], and 226 [126-325] min/wk, respectively). Screen time and total sedentary time remained consistent from preconception to pregnancy but decreased postpartum (screen: 238 [199-277], 244 [211-277], and 162 [136-189] min/d, total: 552 [506-598], 555 [514-596], and 454 [410-498] min/d, respectively). Individual characteristics of ethnicity, body mass index, employment, parity, and self-rated general health significantly influenced women's activity patterns.
Conclusion: During late pregnancy, walking time increased, while MVPA declined significantly, and partially returned to preconception levels postpartum. Sedentary time remained stable during pregnancy but decreased postpartum. The identified set of sociodemographic/clinical correlates underscores need for targeted strategies.
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http://dx.doi.org/10.1123/jpah.2022-0642 | DOI Listing |
Alzheimers Dement
December 2024
Douglas Mental Health University Institute, Montreal, QC, Canada.
Background: Alzheimer's disease (AD) affects about 416 million individuals across the disease continuum. An estimated 40% of dementia cases can be prevented or delayed in onset by addressing modifiable risk factors like sleep time, physical activity (PA), and mood. These three behaviors (sleep time, physical inactivity, and mood) are linked to cognitive decline, and their tridirectional link has been shown by prior research work.
View Article and Find Full Text PDFJ Rural Med
January 2025
Graduate School of Rehabilitation Sciences, Health Sciences University of Hokkaido, Japan.
Objective: To determine the seasonal differences in instrumental activities of daily living (IADL) and objective physical activity among older adults residing in non-urban areas in snowy and cold regions according to sex.
Patients And Methods: Fifty older adults aged ≥65 years were included in the present study. IADL was assessed using the revised Frenchay Activities Index (FAI), and physical activity was measured using a triaxial accelerometer.
Brain Behav
January 2025
Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Purpose: The prevalence of sedentary lifestyles (SL), which includes both high volumes of extended sitting behavior and a low volume of steps accumulated across the day, among older adults continues to rise contributing to increases in associated comorbidities and the loss of independence. The social, personal, and economic burdens are enormous. In recognition of the health implications of SL, current public health physical activity guidelines now emphasize the complimentary goals of sitting less by moving more.
View Article and Find Full Text PDFJ Phys Act Health
January 2025
Institute of Education, University of Minho, Minho, Portugal.
Objective: This systematic review summarizes the literature on the associations between movement behaviors (eg, sleep, sedentary behavior, and physical activity [PA]) and cognition, and academic achievement (AA) in children and adolescents.
Methods: Four electronic databases (PubMed, Embase, PsycINFO, and SPORTDiscus) were searched from inception until October 2023.
Results: This systematic review included 24 reports, representing 48,558 youth aged 6-17.
JMIR Form Res
January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Background: Heart failure (HF) is a common and deadly disease, precipitated by physical inactivity and sedentary behavior. Although the 1-year survival rate after the first diagnosis is high, physical inactivity and sedentary behavior are associated with increased mortality and negatively impact the health-related quality of life (HR-QoL).
Objective: We tested the recruitment frequency, implementation fidelity, and feasibility of outcomes of the Activity Coach app that was developed using an existing mobile health (mHealth) tool, Optilogg, to support older adults with HF to be more physically active and less sedentary.
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