Objective
To examine the use of two different mobile diet self-monitoring methods for weight loss.
Methods
Overweight adults (n=81; mean BMI 34.7±5.6 kg/m2) were randomized to self-monitor their diet with a mobile app (App, n=42) or wearable Bite Counter device (Bite, n=39). Both groups received the same behavioral weight loss information via twice weekly podcasts. Weight, physical activity (International Physical Activity Questionnaire), and energy intake (2 dietary recalls) were assessed at 0, 3, and 6 months.
Results
At six months, 75% of participants completed the trial. The App group lost significantly more weight (-6.8±0.8 kg) than the Bite group (-3.0±0.8 kg; group×time interaction: P<0.001). Changes in energy intake (-621±157 App, -456±167 Bite; P=0.47) or number of days diet was tracked (90.7±59.2 App, 68.4±61.2 Bite; P=0.09) did not differ between groups, but the Bite group had significant increases in physical activity METs min/wk (+2015.4±684.6; P=0.02) compared to little change in the App group (-136.5±630.6; P=0.02). Total weight loss was significantly correlated with number of podcasts downloaded (r=-0.33, P<0.01) and number of days diet was tracked (r=-0.33, P<0.01).
Conclusions
While frequency of diet tracking was similar between the App and Bite groups, there was greater weight loss observed in the App group.
Background
Pregnancy can be a stressful time for many women; however, it is unclear if higher stress and depressive symptoms are associated with poorer diet quality during pregnancy.
Objective
The aims for this narrative review were to (1) synthesize findings of original, peer-reviewed studies that examined associations of stress and/or depressive symptoms with diet quality during pregnancy; (2) review the measurement tools used to assess stress, depressive symptoms, and diet quality; (3) identify current gaps in the extant literature; and (4) offer recommendations for future research.
Methods
A search strategy was used to identify peer-reviewed manuscripts published between January 1997 and October 2018, using the following databases: PubMed, CINAHL Complete, PsycINFO, Academic Search Complete, and Psychology & Behavioral Sciences Collection. The search was updated December 2019. Two reviewers independently assessed title, abstract, and full-text of the studies that met the inclusion criteria. Data were extracted and a quality assessment was conducted.
Results
Twenty-seven observational studies were identified in this review (21 cross-sectional and 6 longitudinal). In 22 studies, higher stress and/or depressive symptoms were associated with poorer diet quality or unhealthy dietary patterns; 5 studies found no association. Findings are mixed and inconclusive regarding the relationship among stress, depressive symptoms, and food groups related to diet quality and frequency of fast-food consumption.
Conclusions
The current data suggest stress and depressive symptoms may be a barrier to proper diet quality during pregnancy; however, variability in the assessment tools, timing of assessments, and use of covariates likely contribute to the inconsistency in study findings. Gaps in the literature include limited use of longitudinal study designs, limited use of comprehensive diet-quality indices, underrepresentation of minority women, and lack of multilevel theoretical frameworks. Studies should address these factors to better assess associations of stress and/or depressive symptoms with diet quality during pregnancy.
The goal of this study was to examine the usability and feasibility of the mobile Bite Counter (a watch-like device that detects when a user consumes food or beverage) and the impact of weekly behavioral challenges on diet and physical activity outcomes. Overweight (mean BMI 31.1±4.9 kg/m2) adults (n=12) were recruited to participate in a four-week study to test both the usability and feasibility of using the device as part of a behavioral weight loss intervention. Participants were instructed to self-monitor number of bites/day using the Bite Counter, attend weekly group sessions, and listen to weekly podcasts. Participants were given weekly challenges: use a daily bite limit goal (wk1), turn off Bite Counter when fruits/vegetables are consumed (wk2), self-monitor kilocalories vs. bites (wk3), and receive a 10 bites/day bonus for every 30 minutes of exercise (wk4). Participants lost a mean of −1.2±1.3 kg. Only the wk3 challenge produced significant differences in kcal change (wk3 1302±120 kcal/day vs. baseline 2042±302 kcal/d, P<0.05). Bite Counter use was significantly correlated with weight loss (r= −0.58, P<0.05). Future studies should examine the use of the Bite Counter and impact of behavioral challenges over a longer period of time in a controlled study.
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