Recent evidence indicates a widening gap in fruit and vegetable (F/V) consumption between high- and low-income Americans. This gap is related, in part, to decreased access to food retailers that sell fresh F/V in low-income communities. Farmers' markets are identified as a strategy for improving F/V consumption by increasing access to these foods. The aim of this systematic review was to examine literature published from 1994 to 2014 to identify facilitators and barriers of farmers' markets use, particularly among low-income consumers. Peer-reviewed literature was identified in Ebsco Host (Academic Search Complete). Inclusion criteria for abstract review was primary research focused on farmers' market use identifying 87 studies for full-text review. Full-text review identified articles focused on facilitators and/or barriers of farmers' market use resulting in 49 articles. At least two reviewers completed review of all articles. Of the 49 articles, 39% specified inclusion of low-income consumers and fewer than 15% focused on racial and ethnic minorities. Few studies were guided by theory and/or used standardized metrics. Results indicate farmers' market use is influenced by multiple economic, service delivery, spatial-temporal, social, and personal factors. Among studies that included low-income populations (n=19), key barriers to farmers' market use were perceptions that food assistance benefits were not accepted, belief that food variety at farmers' markets was limited, lack of access to transportation, lack of racial/ethnic diversity in the market space, and mismatch between markets and personal lifestyles. There is wide variation in study design and reporting standards and infrequent use of standardized measures limiting comparisons across studies. There is a need to establish valid and reliable metrics and reporting standards for evaluating farmers' markets. Findings may inform interventions, programs, and policies to promote farmers' market use.

Objective To develop and test a model based on Bandura's social cognitive theory to predict healthy lifestyle behaviors for the prevention of osteoporosis. Methods Participants were 354 girls, ages 8–11 years, recruited from area Girl Scout troops. Baseline data from a randomized trial of behavioral interventions are presented. Measures of social support, knowledge, self-efficacy, dietary calcium intake, and weight-bearing physical activity (WBPA) were obtained via interviews and self-administered questionnaires. Results A structural equation model was tested and fit the data well. Family social support, perceived self-efficacy for eating a calcium-rich diet, and knowledge of WBPA significantly predicted calcium intake. Friend and family support for exercise predicted WBPA. Self-efficacy partially mediated the relationship between family support and calcium intake, as confirmed by Holmbeck's post-hoc probing strategy (2002). Conclusions Suggestions are made for primary prevention interventions such as parent and peer involvement, health education, and problem-solving training.

A better understanding of the optimal “dose” of behavioral interventions to affect change in weight-related outcomes is a critical topic for childhood obesity intervention research. The objective of this review was to quantify the relationship between dose and outcome in behavioral trials targeting childhood obesity to guide future intervention development. A systematic review and meta-regression included randomized controlled trials published between 1990 and June 2017 that tested a behavioral intervention for obesity among children 2–18 years old. Searches were conducted among PubMed (Web-based), Cumulative Index to Nursing and Allied Health Literature (EBSCO platform), PsycINFO (Ovid platform) and EMBASE (Ovid Platform). Two coders independently reviewed and abstracted each included study. Dose was extracted as intended intervention duration, number of sessions, and length of sessions. Standardized effect sizes were calculated from change in weight-related outcome (e.g., BMI-Z score). Of the 258 studies identified, 133 had sufficient data to be included in the meta-regression. Average intended total contact (# sessions x length of sessions) was 27.7 (SD 32.2) hours and average duration was 26.0 (SD 23.4) weeks. When controlling for study covariates, a random-effects meta-regression revealed no significant association between contact hours, intended duration or their interaction and effect size. This systematic review identified wide variation in the dose of behavioral interventions to prevent and treat pediatric obesity, but was unable to detect a clear relationship between dose and weight-related outcomes. There is insufficient evidence to provide quantitative guidance for future intervention development. One limitation of this review was the ability to uniformly quantify dose due to a wide range of reporting strategies. Future trials should report dose intended, delivered, and received to facilitate quantitative evaluation of optimal dose. The protocol was registered on PROSPERO (Registration # CRD42016036124 ).