Focus groups based on the Appreciative Inquiry process were found to be a useful approach to discover features that are important to low-income, urban-living parents to include in an adolescent weight management program. Recommendations for designing and conducting focus groups based on the Appreciative Inquiry process are provided.

Applying the Behavior Change Technique Taxonomy has the potential to facilitate identification of effective childhood obesity intervention components. This article evaluates the feasibility of coding Childhood Obesity Prevention and Treatment Consortium interventions and compares reliability between external taxonomy-familiar coders and internal intervention-familiar coders. After training, coder pairs independently coded prespecified portions of intervention materials. An adjudication process was used to explore coding discrepancies. Reliability between internal and external coders was moderate (prevalence and bias-adjusted kappa .38 to .55). Reliability for specific target behaviors varied with substantial agreement for physical activity (.63 to .76) and moderate for dietary intake (.44 to .63). Applying the taxonomy to these interventions was feasible, but agreement was modest. Coding discrepancies highlight the importance of refining coding to capture the complexities of childhood obesity interventions, which often engage multiple recipients (e.g., parents and/or children) and address multiple behaviors (e.g., diet, physical activity, screen time).

We implemented an Appreciative Inquiry (AI) intervention to assist people with hypertension improve diet, physical activity, and blood pressure. In a two-group randomized controlled trial conducted over 12 weeks, 50 participants were recruited at an urban outpatient health care clinic. The intervention used participants’ high peak positive experiences to promote behavior change, during two face-to-face individual sessions and three coaching telephone calls. Data were analyzed using test of differences between groups and analysis of covariance controlling for confounding variables. The intervention group had significantly higher levels of ideal self, positive emotions, and self-efficacy for chronic disease management than the control group. No significant group differences in physical activity, diet, or blood pressure. Findings provide empirical evidence about the underlying processes by which AI may promote health behavior change. Future research should examine the effectiveness of this AI intervention in a larger sample of patients and over a longer intervention period.

Body mass index may not directly relate to WRQOL but may be associated through other factors, including child social problems. Interventions should screen for and treat mood and social problems and address family/friend support for healthy eating.

Climate change has significant implications for pregnant people. The Heat‐Related Illness Screening Tool was developed by faculty in the nurse‐led Center for Climate Change, Climate Justice, and Health at the MGH Institute of Health Professions. In an effort to integrate content on the health effects of climate change on pregnant people, faculty in the Women's Health/Gender‐Related Nurse Practitioner program in the School of Nursing developed a case study that incorporated heat and environmental exposures in pregnancy into an existing module on preterm birth. The case study aims to increase awareness about the intersections between climate change, social determinants of health, structural racism, and potential adverse pregnancy outcomes. Together this case study and screening tool for heat‐related illness represent innovations for health professions educators and clinicians to detect intensifying risks to already vulnerable people who are pregnant.