The Effect of the More Active MuMs in Stirling Trial on Body Composition and Psychological Well-Being among Postnatal Women.
Alyssa S LeeRhona J McInnesAdrienne R HughesWendy GuthrieRuth JepsonPublished in: Journal of pregnancy (2016)
Introduction. Physical activity is important for health and well-being; however, rates of postnatal physical activity can be low. This paper reports the secondary outcomes of a trial aimed at increasing physical activity among postnatal women. Methods. More Active MuMs in Stirling (MAMMiS) was a randomised controlled trial testing the effect of physical activity consultation and pram walking group intervention among inactive postnatal women. Data were collected on postnatal weight, body composition, general well-being, and fatigue. Participants were also interviewed regarding motivations and perceived benefits of participating in the trial. Results. There was no significant effect of the intervention on any weight/body composition outcome or on general well-being at three or six months of follow-up. There was a significant but inconsistent difference in fatigue between groups. Qualitative data highlighted a number of perceived benefits to weight, body composition, and particularly well-being (including improved fatigue) which were not borne out by objective data. Discussion. The MAMMiS study found no impact of the physical activity intervention on body composition and psychological well-being and indicates that further research is required to identify successful approaches to increase physical activity and improve health and well-being among postnatal women.
Keyphrases
- body composition
- physical activity
- sleep quality
- resistance training
- preterm infants
- bone mineral density
- body mass index
- polycystic ovary syndrome
- randomized controlled trial
- healthcare
- study protocol
- electronic health record
- pregnancy outcomes
- mental health
- public health
- phase iii
- cervical cancer screening
- big data
- emergency department
- systematic review
- pregnant women
- weight loss
- type diabetes
- adipose tissue
- health information
- weight gain
- breast cancer risk
- social media
- machine learning
- high intensity
- adverse drug
- skeletal muscle
- artificial intelligence
- lower limb
- human health