Home food availability, parents’/caregivers’ support, and family meals influence on dietary servings of low-income urban adolescent girls from Brazil

When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles

BACKGROUND

The aim of the present study was to identify eaters profiles using the latest advantages of Machine Learning approach to cluster analysis.

METHODS

A total of 317 participants completed an online-based survey including self-reported measures of body image dissatisfaction, bulimia, restraint, and intuitive eating. Analyses were conducted in two steps: (a) identifying an optimal number of clusters, and (b) validating the clustering model of eaters profile using a procedure inspired by the Causal Reasoning approach.

RESULTS

This study reveals a 7-cluster model of eaters profiles. The characteristics, needs, and strengths of each eater profile are discussed along with the presentation of a continuum of eaters profiles.

CONCLUSIONS

This conceptualization of eaters profiles could guide the direction of health education and treatment interventions targeting perceptual and eating dimensions.

The influence of the urban food environment on diet, nutrition and health outcomes in low-income and middle-income countries: a systematic review

Introduction

Diet and nutrition are leading causes of global morbidity and mortality. Our study aimed to identify and synthesise evidence on the association between food environment characteristics and diet, nutrition and health outcomes in low-income and middle-income countries (LMICs), relevant to urban settings, to support development and implementation of appropriate interventions.

Methods

We conducted a comprehensive search of 9 databases from 1 January 2000 to 16 September 2020 with no language restrictions. We included original peer-reviewed observational studies, intervention studies or natural experiments conducted in at least one urban LMIC setting and reporting a quantitative association between a characteristic of the food environment and a diet, nutrition or health outcome. Study selection was done independently in duplicate. Data extraction and quality appraisal using the National Heart Lung and Blood Institute checklists were completed based on published reports using a prepiloted form on Covidence. Data were synthesised narratively.

Results

74 studies met eligibility criteria. Consistent evidence reported an association between availability characteristics in the neighbourhood food environment and dietary behaviour (14 studies, 10 rated as good quality), while the balance of evidence suggested an association with health or nutrition outcomes (17 of 24 relevant studies). We also found a balance of evidence that accessibility to food in the neighbourhood environment was associated with diet (10 of 11 studies) although evidence of an association with health outcomes was contradictory. Evidence on other neighbourhood food environment characteristics was sparse and mixed. Availability in the school food environment was also found to be associated with relevant outcomes. Studies investigating our other primary outcomes in observational studies of the school food environment were sparse, but most interventional studies were situated in schools. We found very little evidence on how workplace and home food environments are associated with relevant outcomes. This is a substantial evidence gap.

Conclusion

‘Zoning’ or ‘healthy food cart’ interventions to alter food availability may be appropriate in urban LMIC.

PROSPERO registration number

CRD42020207475.

Is the local food environment associated with excess body weight in adolescents in São Paulo, Brazil?

The obesogenic environment stimulates an inadequate diet by hampering healthy choices. This cross-sectional study evaluated the association between the local food environment and the prevalence of overweight and obesity in a representative sample population of adolescents living in the city of São Paulo, Brazil, using multilevel logistic regression models. Among the adolescents, 29.6% were overweight/obese. There were no significant differences between food environment and adolescents’ weight status. However, the presence of fast food restaurants near their home increased the chances of being overweight or obese (OR = 2.53; 95%CI: 1.02-6.27). Results suggest the need to intensify food and nutrition policies, development of culinary skills, and the reduction in prices of healthy foods to facilitate access to these foods, so that adolescents have options in locations to socialize with friends and family.

"Healthy Habits, Healthy Girls-Brazil": an obesity prevention program with added focus on eating disorders

PURPOSE

To evaluate the immediate post-intervention and 6-month post-intervention effects of a Brazilian school-based randomized controlled trial for girls targeting shared risk factors for obesity and disordered eating.

METHODS

Total of 253 girls, mean of 15.6 (0.05) years from 1st to 3rd grades of high school participated in this 6-month school-based cluster randomized controlled trial. "Healthy Habits, Healthy Girls-Brazil (H3G-Brazil)", originally developed in Australia, emphasized 10 key nutrition and physical activity (PA) messages delivered over 6 months. Disordered eating prevention procedures, i.e., prevention of weight-teasing, body satisfaction, and unhealthy weight control behavior, were added to the intervention. Body dissatisfaction, unhealthy weight control behaviors and social cognitive-related diet, and physical activity variables were assessed at baseline, immediate post-intervention, and 6-month post-intervention. Intervention effects were determined by one-way analysis of covariance or logistic regression, after checking for the clustering effects of school. The control group did not receive intervention prior to follow-up assessment. A conservative significance level was set at p < 0.01.

RESULTS

Beneficial effects were detected for PA social support (F = 6.005, p = 0.01), and healthy eating strategies (F = 6.08, p = 0.01) immediate post-intervention; and healthy eating social support (F = 14.731, p = 0.00) and healthy eating strategies (F = 5.812, p = 0.01) at 6-month post-intervention. Intervention group was more likely to report unhealthy weight control behaviors (OR = 1.92, 95% CI 1.15-3.21, p = 0.01) at 6-month post-intervention. No other significant immediate or 6-month post effects were detected.

CONCLUSION

H3G-Brazil demonstrated positive 6-month effects on some social cognitive variables but an adverse effect on unhealthy weight control behaviors. Thus, this study was not able to achieve synergy by combining obesity and disordered eating prevention procedures in an intervention among low-income girls in Brazil.

TRIAL REGISTRATION

Level I: cluster randomized controlled trial.