A qualitative study exploring pregnant women's weight-related attitudes and beliefs in UK: the BLOOM study.

BACKGROUND: There is little information on the individual cognitive, perceptual and psychosocial factors that influence the lifestyle behaviours of pregnant women. This study explored pregnant women's weight-related attitudes and beliefs during pregnancy. METHODS: Nineteen pregnant women with different pre-pregnancy BMIs and in their third trimester were purposefully sampled for face-to-face interviews. Topics covered included lifestyles, sources of information, feelings about their bodies, and level of control over themselves and their bodies. Systematic thematic content analysis was used to identify recurrent themes. RESULTS: Women perceived their bodies as fragmented into 'my pregnancy' (the bump) and 'me' (rest of my body). This fragmentation was the key driver of their weight-related attitudes and beliefs and influenced their dietary and physical activity behaviours. Consuming healthy foods was necessary for 'my pregnancy' to provide the ideal gestational environment. Simultaneously, pregnancy was perceived as a time to relax previously set rigid rules around diet and physical activity, allowing women to consume unhealthy foods and lead sedentary lifestyles. Women faced emotional conflicts between limiting weight gain for 'me', and being perceived as acting morally by gaining enough weight for 'baby'. Although 'bump' related weight gain was acceptable, weight gain in other parts of their body was viewed negatively and implied lack of self-control. Conflict was often alleviated, and weight-related behaviours validated, by seeking practical and reputable information for weight management. Women felt that their midwives provided detailed information on what they should not do during pregnancy, but were rarely given information about what they should do in relation to diet and physical activity for weight management. Consequently, women often used information from a variety of sources which they filtered using 'common sense'. CONCLUSIONS: This study has identified that a central concept to pregnant women's diet and physical activity beliefs during pregnancy is the fragmentation of self into 'me' and 'my pregnancy'. This fragmentation influenced beliefs about diet and physical activity, and control and acceptability of gestation weight gain on different parts of the body. Future interventions and antenatal care should take this fragmentation into consideration when providing pregnant women with advice, information and support relating to their diet and physical activity behaviours.

Short-term trajectories of use of a caloric-monitoring mobile phone app among patients with type 2 diabetes mellitus in a primary care setting.

BACKGROUND: Self-management plays an important role in maintaining good control of diabetes mellitus, and mobile phone interventions have been shown to improve such self-management. The Health Promotion Board of Singapore has created a caloric-monitoring mobile health app, the "interactive Diet and Activity Tracker" (iDAT). OBJECTIVE: The objective was to identify and describe short-term (8-week) trajectories of use of the iDAT app among patients with type 2 diabetes mellitus in a primary care setting in Singapore, and identify patient characteristics associated with each trajectory. METHODS: A total of 84 patients with type 2 diabetes mellitus from a public primary care clinic in Singapore who had not previously used the iDAT app were enrolled. The app was demonstrated and patients' weekly use of the app was monitored over 8 weeks. Weekly use was defined as any record in terms of food entry or exercise workout entry in that week. Information on demographics, diet and exercise motivation, diabetes self-efficacy (Diabetes Empowerment Scale-Short Form), and clinical variables (body mass index, blood pressure, and glycosylated hemoglobin/HbA1c) were collected at baseline. iDAT app use trajectories were delineated using latent-class growth modeling (LCGM). Association of patient characteristics with the trajectories was ascertained using logistic regression analysis. RESULTS: Three iDAT app use trajectories were observed: Minimal Users (66 out of 84 patients, 78.6%, with either no iDAT use at all or use only in the first 2 weeks), Intermittent-Waning Users (10 out of 84 patients, 11.9%, with occasional weekly use mainly in the first 4 weeks), and Consistent Users (8 out of 84 patients, 9.5%, with weekly use throughout all or most of the 8 weeks). The adjusted odds ratio of being a Consistent User, relative to a Minimal User, was significantly higher for females (OR 19.55, 95% CI 1.78-215.42) and for those with higher exercise motivation scores at baseline (OR 4.89, 95% CI 1.80-13.28). The adjusted odds ratio of being an Intermittent-Waning User relative to a Minimal User was also significantly higher for those with higher exercise motivation scores at baseline (OR 1.82, 95% CI 1.00-3.32). CONCLUSIONS: This study provides insight into the nature and extent of usage of a caloric-monitoring app among patients with type 2 diabetes and managed in primary care. The application of LCGM provides a useful framework for evaluating future app use in other patient populations.

Cross-validation of a non-exercise measure for cardiorespiratory fitness in Singaporean adults.

INTRODUCTION: Cardiorespiratory fitness (CRF) is an independent predictor of voluminous health outcomes and can be measured using non-exercise fitness assessment (NEFA) equations. However, the accuracy of such equations in Asian populations is unknown. The objective of this study was to cross-validate the NEFA equation, developed by Jurca et al in 2005, in the adult Singaporean population. METHODS: A total of 100 participants (57 men, 43 women; aged 18-65 years) were recruited, and their maximal oxygen consumption (VO2 max) was measured in the laboratory by indirect calorimetry. The participants also completed the NEFA questionnaire, which helps to predict VO2 max with the NEFA equation. The relationship between NEFA-predicted and laboratory-measured VO2 max values was analysed. RESULTS: Overall, our study demonstrated a high correlation between the NEFA-predicted and laboratory-measured VO2 max values (r = 0.83). The Pearson's correlation coefficient values for the men and women in the study were 0.61 and 0.77, respectively. To improve the accuracy of the predictive equation, we transformed the original equation developed by Jurca et al into new equations that would allow estimation of VO2 max with and without resting heart rate as a variable. CONCLUSION: The modified NEFA equations accurately estimated CRF and may be applied to the majority of adult Singaporeans. With this, health practitioners and researchers are now able to assess CRF levels at both the individual and population levels in either the primary care, fitness or research setting.