Associations between Objectively Determined Physical Activity and Cardiometabolic Health in Adult Women: A Systematic Review and Meta-Analysis.
Yining LuHuw D WiltshireJulien Steven BakerQiaojun WangShanshan YingJianshe LiYichen LuPublished in: Biology (2022)
The purpose of this systematic review and meta-analysis was to qualitatively synthesize and quantitatively assess the evidence of the relationship between objectively determined volumes of physical activity (PA) and cardiometabolic health in women. Four databases (PubMed, Web of Science, Scopus, and the Cochrane library) were searched and, finally, 24 eligible studies were included, with a total of 2105 women from eight countries. A correlational meta-analysis shows that moderate-to-vigorous intensity physical activity (MVPA) was favorably associated with high-density lipoprotein (r = 0.16; 95% CI: 0.06, 0.25; p = 0.002); however, there was limited evidence for the effects of most of the other cardiometabolic biomarkers recorded from steps, total physical activity, light- and moderate-intensity physical activity and MVPA. It is most compelling and consistent that being more physically active is beneficial to the metabolic syndrome. Overall, PA levels are low in adult women, suggesting that increasing the total volume of PA is more important than emphasizing the intensity and duration of PA. The findings also indicate that, according to the confounding effects of body composition and cardiorespiratory fitness, meeting the minimal level of 150 min of moderate-intensity physical activity recommended is not enough to obtain a significant improvement in cardiometabolic indicators. Nonetheless, the high heterogeneity between studies inhibits robust conclusions.
Keyphrases
- physical activity
- high intensity
- body composition
- polycystic ovary syndrome
- body mass index
- public health
- metabolic syndrome
- systematic review
- healthcare
- high density
- pregnancy outcomes
- resistance training
- mental health
- sleep quality
- type diabetes
- cervical cancer screening
- breast cancer risk
- bone mineral density
- pregnant women
- adipose tissue
- health information
- single cell
- machine learning
- deep learning
- skeletal muscle
- cardiovascular risk factors
- uric acid
- meta analyses