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Safe injection self-efficacy (SISE) is negatively associated with injection risk behaviors among people who inject drugs (PWID) but has not been examined in differing risk environments. We compared responses to a validated SISE scale between PWID in San Diego, California and Tijuana, Mexico, and examine correlates of SISE among PWID in Tijuana. PWID were recruited via street outreach for a longitudinal cohort study from October 2020 – September 2021. We compared SISE scale items by city. Due to low variability in SISE scores among San Diego residents, we restricted analysis of factors associated with SISE to Tijuana residents and identified correlates of SISE score levels (low, medium, high) using ordinal logistic regression. Of 474 participants, mostwere male (74%), Latinx (78%) and Tijuana residents (73%). Mean age was 44. MeanSISE scores among San Diego residents were high (3.46 of 4 maximum) relative toTijuana residents (mean: 1.93). Among Tijuana residents, White race and havingpreviously resided in San Diego were associated with higher SISE scores. HCV andHIV seropositivity, homelessness, fentanyl use, polysubstance co-injection, and greaterinjection frequency were associated with lower SISE scores. We found profoundinequalities between Tijuana and San Diego SISE, likely attributable to differential riskenvironments. Associations with fentanyl and polysubstance co-injection, injectionfrequency, and both HIV and HCV seropositivity suggest that SISE contribute to bloodborne infection transmission risks in Tijuana. SISE reflects an actionable intervention target to reduce injection risk behaviors, but structural interventions are required to change the risk environment.

As rates of metabolic syndrome rise, children consume too few vegetables and too much added sugar. Because children tend to eat what is available at home, the home environment plays a key role in shaping dietary habits. This secondary analysis evaluated the effects of a school-based gardening, cooking, and nutrition education intervention (TX Sprouts) compared to control on the availability of vegetables, fruit juice, and sugar-sweetened beverages (SSBs) at home. In the TX Sprouts cluster-randomized trial, 16 schools were randomized to TX Sprouts (n = 8 schools) or control (n = 8 schools) for one academic year. All schools served predominately Hispanic families with low incomes. TX Sprouts built school gardens and taught 18 lessons to all 3rd-5th grade students at intervention schools. TX Sprouts also offered monthly caregiver lessons before and/or after school. Caregivers completed questionnaires pre and post, providing demographics and information about home availability of vegetables, fruit juice, and SSBs. Summary statistics were used to describe the sociodemographic characteristics of participants. Linear regression assessed the change in scores (pre to post) for the food/ beverage availability question. The model was adjusted for the caregivers education, employment status, childs grade, and free or reduced-price lunch eligibility. The analytic sample included 895 participants. Compared to control, the intervention positively changed the home availability of targeted foods and beverages, largely by improving the availability of vegetables and vegetable juice. This study showed that a school gardening, nutrition, and cooking program delivered to elementary children may positively influence the home food environment.

BACKGROUND: Women living in rural areas face unique challenges in achieving a heart-healthy lifestyle that are related to multiple levels of the social-ecological framework. The purpose of this study was to evaluate changes in diet and physical activity, which are secondary outcomes of a community-based, multilevel cardiovascular disease risk reduction intervention designed for women in rural communities. METHODS: Strong Hearts, Healthy Communities was a six-month, community-randomized trial conducted in 16 rural towns in Montana and New York, USA. Sedentary women aged 40 and older with overweight and obesity were recruited. Intervention participants (eight towns) attended twice weekly exercise and nutrition classes for 24 weeks (48 total). Individual-level components included aerobic exercise, progressive strength training, and healthy eating practices; a civic engagement component was designed to address social and built environment factors to support healthy lifestyles. The control group (eight towns) attended didactic healthy lifestyle classes monthly (six total). Dietary and physical activity data were collected at baseline and post-intervention. Dietary data were collected using automated self-administered 24-h dietary recalls, and physical activity data were collected by accelerometry and self-report. Data were analyzed using multilevel linear regression models with town as a random effect. RESULTS: At baseline, both groups fell short of meeting many recommendations for cardiovascular health. Compared to the control group, the intervention group realized significant improvements in intake of fruit and vegetables combined (difference: 0.6 cup equivalents per day, 95% CI 0.1 to 1.1, p = .026) and in vegetables alone (difference: 0.3 cup equivalents per day, 95% CI 0.1 to 0.6, p = .016). For physical activity, there were no statistically significant between-group differences based on accelerometry. By self-report, the intervention group experienced a greater increase in walking MET minutes per week (difference: 113.5 MET-minutes per week, 95% CI 12.8 to 214.2, p = .027). CONCLUSIONS: Between-group differences in dietary and physical activity behaviors measured in this study were minimal. Future studies should consider how to bolster behavioral outcomes in rural settings and may also continue to explore the value of components designed to enact social and environmental change. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT02499731. Registered 16 July 2015.

Background/Objectives: Multilevel interventions have demonstrated efficacy in improving obesity and other related health outcomes. However, heterogeneity in individual responses indicates the need to identify the factors associated with responses and non-responses to multilevel interventions. The objective of this report is to identify the potential sources of heterogeneity through the exploration of the moderation effects of participant characteristics (sociodemographic and baseline physical/mental health) in the Strong Hearts, Healthy Communities-2.0 (SHHC-2.0) intervention. Methods: SHHC-2.0 is a 24-week multilevel intervention to improve people's diet and physical activity evaluated using a cluster-randomized, controlled trial design conducted with women aged 40 and older living in rural communities with an elevated risk of cardiovascular disease, defined as having a BMI > 30, or a BMI 25–30 plus < 1 weekly occurrence of 30 min of physical activity during leisure time. Linear mixed models were used to compare the between-group changes in the outcomes (weight, systolic blood pressure, hemoglobin A1c [HbA1c], and triglycerides), with an interaction term included for each potential moderator. Results: Within the sociodemographic characteristics, there were no differences in effectiveness by age, income, or baseline BMI status, but the participants with a high school education or less experienced less weight loss. Among their health history, only a history of hypertension was associated with differential outcomes; those with a history of hypertension demonstrated a greater reduction in systolic blood pressure. The participants with elevated depressive symptoms demonstrated greater weight loss and a greater reduction in the HbA1c level. Conclusions: SHHC-2.0 was effective across a wide range of participants. The identified moderators (i.e., education level) may inform the future tailoring of the SHHC intervention to optimize the outcomes among participant subgroups, while more broadly, our findings can serve to inform the development and dissemination of multilevel interventions. [ABSTRACT FROM AUTHOR]

Using the internet to recruit participants into research trials is effective but can attract high numbers of fraudulent attempts, particularly via social media. We drew upon the previous literature to rigorously identify and remove fraudulent attempts when recruiting rural residents into a community-based health improvement intervention trial. Our objectives herein were to describe our dynamic process for identifying fraudulent attempts, quantify the fraudulent attempts identified by each action, and make recommendations for minimizing fraudulent responses. The analysis was descriptive. Validation methods occurred in four phases: (1) recruitment and screening for eligibility and validation; (2) investigative periods requiring greater scrutiny; (3) baseline data cleaning; and (4) validation during the first annual follow-up survey. A total of 19,665 attempts to enroll were recorded, 74.4% of which were considered fraudulent. Automated checks for IP addresses outside study areas (22.1%) and reCAPTCHA screening (10.1%) efficiently identified many fraudulent attempts. Active investigative procedures identified the most fraudulent cases (33.7%) but required time-consuming interaction between researchers and individuals attempting to enroll. Some automated validation was overly zealous: 32.1% of all consented individuals who provided an invalid birthdate at follow-up were actively contacted by researchers and could verify or correct their birthdate. We anticipate fraudulent responses will grow increasingly nuanced and adaptive given recent advances in generative artificial intelligence. Researchers will need to balance automated and active validation techniques adapted to the topic of interest, population being recruited, and acceptable participant burden. [ABSTRACT FROM AUTHOR]

Objective: To examine cross-sectional associations between farmers' market shopping behaviours and objectively measured and self-reported fruit and vegetable (FV) intake among rural North Carolina (NC) and New York City (NYC) shoppers.Design: Cross-sectional intercept surveys were used to assess self-reported FV intake and three measures of farmers' market shopping behaviour: (1) frequency of purchasing FV; (2) variety of FV purchased and (3) dollars spent on FV. Skin carotenoids, a non-invasive biomarker for FV intake, were objectively measured using pressure-mediated reflection spectroscopy. Associations between farmers' market shopping behaviours and FV intake were examined using regression models that controlled for demographic variables (e.g. age, sex, race, smoking status, education, income and state).Setting: Farmers' markets (n 17 markets) in rural NC and NYC.Participants: A convenience sample of 645 farmers' market shoppers.Results: Farmers' market shoppers in NYC purchased a greater variety of FV and had higher skin carotenoid scores compared with shoppers in rural NC. Among all shoppers, there was a positive, statistically significant association between self-reported frequency of shopping at farmers' markets and self-reported as well as objectively assessed FV intake. The variety of FV purchased and farmers' market spending on FV also were positively associated with self-reported FV intake, but not skin carotenoids.Conclusion: Those who shop for FV more frequently at a farmers' markets, purchase a greater variety of FV and spend more money on FV have higher self-reported, and in some cases higher objectively measured FV intake. Further research is needed to understand these associations and test causality. [ABSTRACT FROM AUTHOR]