The Development of a Text Messaging Platform to Enhance a Youth Diabetes Prevention Program: Observational Process Study.

BACKGROUND: Approximately 1 in 5 adolescents in the United States has prediabetes, and racially and ethnically minoritized youths are disproportionately impacted. Unfortunately, there are few effective youth diabetes prevention programs, and in-person interventions are challenging because of barriers to access and engagement. OBJECTIVE: We aimed to develop and assess the preliminary feasibility and acceptability of a youth-informed SMS text messaging platform to provide additional support and motivation to adolescents with prediabetes participating in a diabetes prevention workshop in East Harlem, New York City, New York, United States. We collaborated with our youth action board and a technology partner (mPulse Mobile) to develop and pilot-test the novel interactive platform. METHODS: The technology subcommittee of our community action board (comprising youths and young adults) used the results from focus groups that we had previously conducted with youths from our community to develop 5 message types focused on healthy eating and active living: goal setting, behavior tracking, individually tailored guidance, motivational messages, and photo diary. We used an iterative process to develop and pilot the program with our internal study team, including youths from our community action board and mPulse Mobile developers. We then conducted a pilot of the 12-week SMS text messaging program with 13 youths with prediabetes. RESULTS: Participants (aged 15-21 years; 10/13, 77% female; 3/10, 23% Black and 10/13, 77% Hispanic or Latinx) received an average of 2 automated messages per day. The system correctly sent 84% (2231/2656) of the messages at the time intended; the remaining 16% (425/2656) of the messages were either sent at the incorrect time, or the system did not recognize a participant response to provide the appropriate reply. The level of engagement with the program ranged from 1 (little to no response) to 5 (highly responsive) based on how frequently participants responded to the interactive (2-way) messages. Highly responsive participants (6/13, 46%) responded >75% (1154/1538) of the time to interactive messages sent over 12 weeks, and 69% (9/13) of the participants were still engaged with the program at week 12. During a focus group conducted after program completion, the participants remarked that the message frequency was appropriate, and those who had participated in our in-person workshops reflected that the messages were reminiscent of the workshop content. Participants rated goal setting, behavior tracking, and tailored messages most highly and informed planned adaptations to the platform. Participants described the program as: "interactive, informative, enjoyable, very convenient, reliable, motivational, productive, and reflective." CONCLUSIONS: We partnered with youths in the initial content development and pilot testing of a novel SMS text messaging platform to support diabetes prevention. This study is unique in the triple partnership we formed among researchers, technology experts, and diverse youths to develop a mobile health platform to address diabetes-related disparities.

A comprehensive youth diabetes epidemiological dataset and web portal: Resource Development and Case Studies.

BACKGROUND: The prevalence of Type 2 diabetes (DM) and prediabetes (preDM) has been increasing among youth in recent decades in the United States, prompting an urgent need for understanding and identifying their associated risk factors. Such efforts, however, have been hindered by the lack of easily accessible youth preDM/DM data. OBJECTIVE: We aimed to first build a high quality, comprehensive epidemiological dataset focused on youth preDM/DM. Subsequently, we aimed to make this data accessible by creating a user-friendly web portal to share it and corresponding codes. Through this, we hope to address this significant gap and facilitate youth preDM/DM research. METHODS: Building on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we cleaned and harmonized hundreds of variables relevant to preDM/DM (fasting plasma glucose level ≥100 mg/dL and/or HbA1C ≥5.7%) for youth aged 12-19 years (n=15,149). We identified individual factors associated with preDM/DM risk using bivariate statistical analyses and predicted preDM/DM status using our Ensemble Integration (EI) framework for multi-domain machine learning. We then developed a user-friendly web portal named Prediabetes/diabetes in youth ONline Dashboard (POND) to share the data and codes. RESULTS: We extracted 95 variables potentially relevant to preDM/DM risk organized into 4 domains (sociodemographic, health status, diet, and other lifestyle behaviors). The bivariate analyses identified 27 significant correlates of preDM/DM (P ≤0.0005, Bonferroni adjusted), including race/ethnicity, health insurance, BMI, added sugar intake, and screen time. Sixteen of these factors were also identified based on the EI methodology (Fisher's P of overlap=7.06x10^-6). In addition to those, the EI approach identified 11 additional predictive variables, including some known (e.g., meat and fruit intake and family income) and less recognized factors (e.g., number of rooms in homes). The factors identified in both analyses spanned over all 4 of the domains mentioned. These data and results, as well as other exploratory tools, can be accessed on POND (https://rstudio-connect.hpc.mssm.edu/POND/). CONCLUSIONS: Using NHANES data, we built one of the largest public epidemiological datasets for studying youth preDM/DM and identified potential risk factors using complementary analytical approaches. Our results align with the multifactorial nature of preDM/DM with correlates across several domains. Also, our data-sharing platform, POND, facilitates a wide range of applications to inform future youth preDM/DM studies.

Emotional and Financial Stressors in New York City During the COVID-19 Pandemic: A Consecutive Cross-Sectional Analysis.

Mental and financial hardship during the COVID-19 pandemic in New York City was severe, but how vulnerable groups have been disproportionately impacted is incompletely understood. In partnership with community stakeholders, we administered a web-based survey to a convenience sample of New York City residents (18 + years) from May 2020 to April 2021 to evaluate their financial and emotional stressors. We analyzed outcomes by race, ethnicity, and education level. A total of 1854 adults completed the survey across three consecutive non-overlapping samples. Fifty-five percent identified other than non-Latinx White. Sixty-four percent reported emotional stress; 38%, 32%, and 32% reported symptoms of anxiety, depression, and post-traumatic stress disorder respectively; and 21% reported a large adverse financial impact. The leading unmet needs were mental health and food services (both 19%), and health services (18%). Need for both resources grew over time. Adverse financial impact directly correlated with presence of all four adverse mental health outcomes above. In multivariate analysis, non-White race and lack of college degree were associated with adverse financial impact, whereas LGBT identity and lack of college degree were associated with mental health impact. Throughout the COVID-19 pandemic, participants in this research demonstrated a large and growing mental and financial strain, disproportionately associated with lower education level, non-White race, and LGBT status. Our findings suggest an urgent need to differentially target COVID-19 mental health and resource support in New York City to persons in these vulnerable communities.

The Power of Partnership: NYCEAL Collaborations With Health Agencies and Mobile Vaccination Vans.

New York City experienced a high COVID-19 burden and striking disparities among racial and ethnic minoritized groups. The New York Community Engagement Alliance Against COVID-19 Disparities (NYCEAL) collaborated with health agencies and clinical providers to increase and facilitate COVID-19 vaccinations across New York City. NYCEAL partners and their network of hundreds of community health workers delivered vaccine education, fostered community trust, and supported vaccine uptake among low-income, limited‒English-proficient, and racial and ethnic minoritized communities. With funding from the National Institutes of Health (NIH), the objective of NYCEAL was to reduce COVID-19 disparities by increasing vaccine uptake and promoting trust in science. (Am J Public Health. 2024;114(S1):S92-S95. https://doi.org/10.2105/AJPH.2023.307455).

Sex Differences in Diet and Physical Activity Behaviors Among Racial/Ethnic Minority Adolescents with High Metabolic Risk.

Certain dietary and physical activity (PA) behaviors may differentially predispose male and female adolescents to obesity and diabetes; however, sex differences in dietary and PA behaviors and in factors that impact these behaviors (e.g., self-efficacy, social support) in this population remain unknown. Using data from a community-based adolescent diabetes prevention intervention conducted in East Harlem in New York City, we examined sex differences in baseline characteristics including clinical measurements, lifestyle behaviors, and behavioral determinants. Among 147 overweight/obese adolescents aged 13-19 years, 61.9% were girls, 69.7% were of Hispanic ethnicity, 24.8% were non-Hispanic Black, and 60.5% were diagnosed with prediabetes. Boys had higher metabolic risk scores than girls (3.8 vs. 3.3, p = 0.002) despite girls reporting more perceived barriers to healthy eating and PA. Boys reported doing more moderate to vigorous PA but also had more sedentary behaviors than girls. Boys reported higher self-efficacy and more peer support for PA. Girls reported more depressive symptoms and were more likely to compare their body images to those in magazines/social media. Overall, among a sample of urban adolescents with high metabolic risk, we found significant sex differences in many dietary and PA behaviors and related factors, which could be used to inform tailored strategies for weight management to reduce cardiometabolic risk among youth from similar high-risk populations.

Geographic and Sociodemographic Variations in Prevalence of Mental Health Symptoms Among US Youths, 2022.

Objectives. To assess geographic and sociodemographic variations in prevalence of mental health symptoms among US youths. Methods. We analyzed data from the Household Pulse Survey, phases 3.5 and 3.6, between June 1 and November 14, 2022. The sample included 103 296 households with an estimated 190 017 youths younger than 18 years. We defined mental health symptoms based on parental responses and estimated prevalence by state and subgroups, including race/ethnicity, parental education, household income, housing tenure, household food sufficiency, and health insurance coverage. All analyses incorporated sampling weight. Results. An estimated 34.5% (95% confidence interval [CI] = 33.7%, 35.3%) of youths had parent-reported mental health symptoms. The prevalence of symptoms varied across states, ranging from 27.9% (95% CI = 23.8%, 32.0%) in Florida to 46.4% (95% CI = 41.9%, 50.9%) in New Hampshire. We observed variations by subgroup, with youths in households that did not pay rent reporting a prevalence of 43.8% (95% CI = 39.3%, 48.4%) and those experiencing food insufficiency reporting a prevalence of 56.0% (95% CI = 50.9%, 61.2%). Conclusions. There is an urgent need for attention to mental health challenges among youths, taking into account geographic and sociodemographic variations. (Am J Public Health. 2023;113(10):1116-1119. https://doi.org/10.2105/AJPH.2023.307355).

New York City's Community-Based Organizations and the COVID-19 Pandemic: A Descriptive Analysis of Local Organizations' Response Efforts and Their Role During Public Health Crises.

Community-based organizations (CBOs) are on the frontlines offering resources and support to residents during times of distress. Through a community-academic partnership, an interdisciplinary team developed, collected, and analyzed 91 surveys from social services providers across New York City assessing the impact of the COVID-19 pandemic on their organizations' operations. The majority (93%) of these organizations stayed open during the pandemic but had to shift the services they offered to meet new needs. Although most (89%) shared they were not offering on-site testing for COVID-19, 53% expressed interest in becoming a test site, citing needs such as funding, test kits, and skills-building for staff. More than half of the respondents were eager to get involved in public health efforts in other ways, such as joining local research advisory boards. Despite increasing the services they provided, CBOs saw decreases in staffing and volunteers. Furthermore, although nearly half (48%) received governmental aid, many faced financial pressures and several had to close offices during the pandemic. As trusted resources, CBOs can help meet public health needs if provided with proper support and resources. It is critical that those working in prevention and relief are considerate about how and when they leverage effective partnerships between public health organizations and CBOs, offering organizations the resources they need to be effective in this charge, given the role they can have in promoting health equity.

Facilitating youth diabetes studies with the most comprehensive epidemiological dataset available through a public web portal.

The prevalence of type 2 diabetes mellitus (DM) and prediabetes (preDM) is rapidly increasing among youth, posing significant health and economic consequences. To address this growing concern, we created the most comprehensive youth-focused diabetes dataset to date derived from National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018. The dataset, consisting of 15,149 youth aged 12 to 19 years, encompasses preDM/DM relevant variables from sociodemographic, health status, diet, and other lifestyle behavior domains. An interactive web portal, POND (Prediabetes/diabetes in youth ONline Dashboard), was developed to provide public access to the dataset, allowing users to explore variables potentially associated with youth preDM/DM. Leveraging statistical and machine learning methods, we conducted two case studies, revealing established and lesser-known variables linked to youth preDM/DM. This dataset and portal can facilitate future studies to inform prevention and management strategies for youth prediabetes and diabetes.

Perspectives from diverse stakeholders in a youth community-based participatory research project.

INTRODUCTION: TEEN HEED (Help Educate to Eliminate Diabetes) is a community-based youth participatory action research (YPAR) study in which prediabetic adolescents from a predominantly low-income, non-white neighborhood in New York City participated in a peer-led diabetes prevention intervention. The aim of the current analysis is to evaluate the TEEN HEED program through examination of multiple stakeholder perspectives to identify strengths and areas for improvement that may inform other YPAR projects. METHODS: We conducted 44 individual in-depth interviews with representatives from six stakeholder groups (study participants, peer leaders, study interns and coordinators, and younger and older community action board members). Interviews were recorded, transcribed, and analyzed using thematic analysis to identify overarching themes. RESULTS: Dominant themes identified were: 1) YPAR principles and engagement, 2) Youth engagement through peer education, 3) Challenges and motivations for research participation, 4) Study improvements and sustainability, and 5) Professional and personal impacts of the study. CONCLUSIONS: Emergent themes from this study provided insights on the value of youth participation in research and informed recommendations for future YPAR studies.

A Pilot Study to Examine the Feasibility and Acceptability of a Virtual Adaptation of an In-Person Adolescent Diabetes Prevention Program.

BACKGROUND: Rates of prediabetes and type 2 diabetes are alarmingly high among racial/ethnic minority youth. The current study examines the virtual adaptation of an in-person peer-led youth diabetes prevention program. METHODS: The initial phase involved the study team adapting workshop sessions from an in-person to a virtual format (Zoom). We conducted a 2-h feasibility pilot in December 2020 and implemented the full 12 session pilot program from June to September 2021 with 14 prediabetic adolescents recruited from our hospital-based general pediatric clinic. Weekly sessions were led by trained peer educators and focused on promoting healthy eating and physical activity using behavioral techniques (e.g., goal setting, brainstorming, and problem solving). RESULTS: The virtual adaptation of our program was shown to be feasible and acceptable among our pilot participants. We were able to deliver the same workshop content and behavioral skills development as the in-person workshop using a variety of Zoom features. CONCLUSIONS: Our peer-led youth diabetes prevention program was successfully adapted and implemented in a virtual format and was well accepted by at-risk youth. Future research is needed to examine the impact of virtual youth lifestyle interventions on behavioral and clinical outcomes such as weight and diabetes risk.

Use of Focus Groups to Inform a New Community-Based Youth Diabetes Prevention Program.

There have been few youth-led diabetes prevention programs. Our objective was to conduct focus groups to explore peer influences on adolescent lifestyle behaviors and strategies for implementing a youth peer education model for diabetes prevention. We conducted six focus groups with 52 youth (ages 13-22; 62% male, 38% female; 64% Hispanic, 36% non-Hispanic Black) from East Harlem, NYC. We used a Thematic Analysis approach to identify major themes, compared findings, and resolved differences through discussion and consensus. Three dominant themes arose: (1) Adolescents generally encounter more unhealthy peer influences on diet and more healthy peer influences on physical activity; (2) Adolescents endorse youth-led diabetes prevention strategies and describe ideal qualities for peer leaders and methods to support and evaluate leaders; (3) Adolescents prefer text messaging to monitor behaviors, track goals, and receive personalized guidance. Using study findings, our Community Action Board developed a peer-led diabetes prevention program for prediabetic adolescents.

Trends in Metabolic Syndrome Among US Youth, From 1999 to 2018.

This survey study uses representative data from the National Health and Nutrition Examination Survey to examine trends in prevalence of metabolic syndrome among US youth aged 12 to 19 years.

Child Disruptions, Remote Learning, and Parent Mental Health during the COVID-19 Pandemic.

New York City (NYC) was an epicenter of the COVID-19 pandemic, which resulted in broad economic, social, and emotional consequences in the lives of individuals. The current study examined associations between pandemic-related stressors and adverse mental health symptoms among NYC parents/caregivers. Community-based participatory research was used to develop a survey, and logistic regression models were utilized to assess associations between factors including disruptions in child routines and remote learning, and parent-reported symptoms of stress, anxiety, depression, and post-traumatic stress disorder (PTSD). Some 91.0% of parents reported stress and 41.2, 26.6, and 33.7% reported symptoms of anxiety, depression, and PTSD, respectively. Most parents (87.6%) reported cancellation of at least one child activity. Of the parents, 60.3% reported that their children participated in remote learning and the majority (70.3%) reported feeling overwhelmed by it. Having more cancelled child activities was associated with higher odds of reported mental health symptoms, with not being able to play outside associated with higher odds of anxiety (1.80 (1.26, 2.58), p = 0.001), depression (1.93 (1.29, 2.91), p = 0.002), PTSD (1.64 (1.13, 2.39), p = 0.009), and stress (2.34 (1.27, 4.44), p = 0.008). Feeling overwhelmed by remote learning was also associated with higher odds of all four outcomes. Pre-existing mental illness, lower resilience scores, and lower socioeconomic status emerged as additional factors associated with symptoms of mental illness. These findings highlight the importance of resources to minimize adverse psychological effects among vulnerable families.

Factors associated with COVID-19 vaccine receipt at two integrated healthcare systems in New York City: a cross-sectional study of healthcare workers.

OBJECTIVES: To examine the factors associated with COVID-19 vaccine receipt among healthcare workers and the role of vaccine confidence in decisions to vaccinate, and to better understand concerns related to COVID-19 vaccination. DESIGN: Cross-sectional anonymous survey among front-line, support service and administrative healthcare workers. SETTING: Two large integrated healthcare systems (one private and one public) in New York City during the initial roll-out of the COVID-19 vaccine. PARTICIPANTS: 1933 healthcare workers, including nurses, physicians, allied health professionals, environmental services staff, researchers and administrative staff. PRIMARY OUTCOME MEASURES: The primary outcome was COVID-19 vaccine receipt during the initial roll-out of the vaccine among healthcare workers. RESULTS: Among 1933 healthcare workers who had been offered the vaccine, 81% had received the vaccine at the time of the survey. Receipt was lower among black (58%; OR: 0.14, 95% CI 0.1 to 0.2) compared with white (91%) healthcare workers, and higher among non-Hispanic (84%) compared with Hispanic (69%; OR: 2.37, 95% CI 1.8 to 3.1) healthcare workers. Among healthcare workers with concerns about COVID-19 vaccine safety, 65% received the vaccine. Among healthcare workers who agreed with the statement that the vaccine is important to protect family members, 86% were vaccinated. Of those who disagreed, 25% received the vaccine (p<0.001). In a multivariable analysis, concern about being experimented on (OR: 0.44, 95% CI 0.31 to 0.6), concern about COVID-19 vaccine safety (OR: 0.39, 95% CI 0.28 to 0.55), lack of influenza vaccine receipt (OR: 0.28, 95% CI 0.18 to 0.44), disagreeing that COVID-19 vaccination is important to protect others (OR: 0.37, 95% CI 0.27 to 0.52) and black race (OR: 0.38, 95% CI 0.24 to 0.59) were independently associated with COVID-19 vaccine non-receipt. Over 70% of all healthcare workers responded that they had been approached for vaccine advice multiple times by family, community members and patients. CONCLUSIONS: Our data demonstrated high overall receipt among healthcare workers. Even among healthcare workers with concerns about COVID-19 vaccine safety, side effects or being experimented on, over 50% received the vaccine. Attitudes around the importance of COVID-19 vaccination to protect others played a large role in healthcare workers' decisions to vaccinate. We observed striking inequities in COVID-19 vaccine receipt, particularly affecting black and Hispanic workers. Further research is urgently needed to address issues related to vaccine equity and uptake in the context of systemic racism and barriers to care. This is particularly important given the influence healthcare workers have in vaccine decision-making conversations in their communities.

Disparities in Marijuana and Tobacco Smoke Incursions Among New York City Families During Early Months of the COVID-19 Pandemic.

OBJECTIVES: Once the COVID-19 pandemic arrived in New York City (NYC), stay-at-home orders led to more time spent indoors, potentially increasing exposure to secondhand marijuana and tobacco smoke via incursions from common areas or neighbors. The objective of this study was to characterize housing-based disparities in marijuana and tobacco incursions in NYC housing during the pandemic. DESIGN: We surveyed a random sample of families from May to July 2020 and collected sociodemographic data, housing characteristics, and the presence, frequency, and pandemic-related change in incursions. SETTING: Five pediatric practices affiliated with a large NYC health care system. PARTICIPANTS: In total, 230 caregivers of children attending the practices. MAIN OUTCOME MEASURES: Prevalence and change in tobacco and marijuana smoke incursions. RESULTS: Tobacco and marijuana smoke incursions were reported by 22.9% and 30.7%, respectively. Twenty-two percent of families received financial housing support (public housing, Section-8). Compared with families in private housing, families with financial housing support had 3.8 times the odds of tobacco incursions (95% CI, 1.4-10.1) and 3.7 times the odds of worsening incursions during pandemic (95% CI, 1.1-12.5). Families with financially supported housing had 6.9 times the odds of marijuana incursions (95% CI, 2.4-19.5) and 5 times the odds of worsening incursions during pandemic (95% CI, 1.9-12.8). Children in financially supported housing spent more time inside the home during pandemic (median 24 hours vs 21.6 hours, P = .02) and were more likely to have asthma (37% vs 12.9%, P = .001) than children in private housing. CONCLUSIONS: Incursions were higher among families with financially supported housing. Better enforcement of existing regulations (eg, Smoke-Free Public Housing Rule) and implementation of additional policies to limit secondhand tobacco and marijuana exposure in children are needed. Such actions should prioritize equitable access to cessation and mental health services and consider structural systems leading to poverty and health disparities.

Predicting youth diabetes risk using NHANES data and machine learning.

Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent years. However, simple questionnaire-based screening tools to reliably assess diabetes risk are only available for adults, not youth. As a first step in developing such a tool, we used a large-scale dataset from the National Health and Nutritional Examination Survey (NHANES) to examine the performance of a published pediatric clinical screening guideline in identifying youth with preDM/DM based on American Diabetes Association diagnostic biomarkers. We assessed the agreement between the clinical guideline and biomarker criteria using established evaluation measures (sensitivity, specificity, positive/negative predictive value, F-measure for the positive/negative preDM/DM classes, and Kappa). We also compared the performance of the guideline to those of machine learning (ML) based preDM/DM classifiers derived from the NHANES dataset. Approximately 29% of the 2858 youth in our study population had preDM/DM based on biomarker criteria. The clinical guideline had a sensitivity of 43.1% and specificity of 67.6%, positive/negative predictive values of 35.2%/74.5%, positive/negative F-measures of 38.8%/70.9%, and Kappa of 0.1 (95%CI: 0.06-0.14). The performance of the guideline varied across demographic subgroups. Some ML-based classifiers performed comparably to or better than the screening guideline, especially in identifying preDM/DM youth (p = 5.23 × 10-5).We demonstrated that a recommended pediatric clinical screening guideline did not perform well in identifying preDM/DM status among youth. Additional work is needed to develop a simple yet accurate screener for youth diabetes risk, potentially by using advanced ML methods and a wider range of clinical and behavioral health data.

Youth Peer Led Lifestyle Modification Interventions: A Narrative Literature Review.

The prevalence of obesity remains high among school age children and continues to rise among adolescents in the United States. One strategy to address this challenge is to use peer rather than professional leaders to run weight management programs. Youth peer-led lifestyle interventions have become increasingly common over the last few decades, but there is a lack of review and synthesis of these programs. The purpose of this manuscript was to critically review and synthesize results and lessons learned from evaluated youth peer-led lifestyle modification and weight management programs. We searched the PubMed/MEDLINE database to identify articles published between March 2002 and December 2015. We identified 29 interventions including children from kindergarten to 12th grade from different settings and racial/ethnic and economic backgrounds. We first summarized descriptive information about the interventions and then compared outcomes based on intervention type, peer leader characteristics and training, and other related factors. Our review indicated that youth peer-led interventions of varying structure and content can result in positive changes in behavioral influences, diet, physical activity, body measures and other clinical outcomes. We used information from our analysis to formulate recommendations for design of future youth peer-led lifestyle interventions.

Outcomes of a Weight Loss Intervention to Prevent Diabetes Among Low-Income Residents of East Harlem, New York.

There is a need for diabetes prevention efforts targeting vulnerable populations. Our community-academic partnership, the East Harlem Partnership for Diabetes Prevention, conducted a randomized controlled trial to study the impact of peer led diabetes prevention workshops on weight and diabetes risk among an economically and racially diverse population in East Harlem, New York. We recruited overweight/obese adults from more than 50 community sites and conducted oral glucose tolerance testing and completed other clinical assessments and a health and lifestyle survey. We randomized prediabetic participants to intervention or delayed intervention groups. Intervention participants attended eight 90-minute peer-led workshop sessions at community sites. Participants in both groups returned for follow-up assessments 6 months after randomization. The main outcomes were the proportion of participants who achieved 5% weight loss, percentage weight loss, and change in the probability of developing diabetes over the next 7.5 years according to the San Antonio Diabetes Prediction Model. We enrolled 402 participants who were mainly female (85%), Latino (73%) or Black (23%), foreign born (64%), and non-English speaking (58%). At 6 months, the intervention group lost a greater percentage of their baseline weight, had significantly lower rise in HbA1c (glycated hemoglobin), decreased risk of diabetes, larger decreases in fat and fiber intake, improved confidence in nutrition label reading, and decrease in sedentary behavior as compared with the control group. Thus, in partnership with community stakeholders, we created an effective low-resource program that was less intensive than previously studied programs by incorporating strategies to engage and affect our priority population.

Adapting family-based treatment for paediatric obesity: A randomized controlled pilot trial.

OBJECTIVE: This pilot study aimed to refine and test an adaption of family-based treatment (FBT) for eating disorders that addressed the distinct clinical needs of adolescents with overweight or obesity in the absence of eating disorder pathology. Our hypothesis was that FBT for paediatric obesity (FBT-PO) would be feasible to implement and superior to a nutrition education counselling (NEC) condition delivered to both parents and patients, thereby controlling for key information dissemination across groups while manipulating active therapeutic content and strategy. METHOD: Seventy-seven adolescents were randomized to FBT-PO or NEC across two sites. RESULTS: Results supported our core prediction, in that weight status among adolescent study participants receiving FBT-PO remained stable while increasing among participants randomized to NEC. Attrition was high in both conditions. CONCLUSIONS: FBT-PO, while not seeming to yield a marked decrease in body mass index z-score, may arrest an otherwise-occurring weight-gain trajectory for these adolescents. This efficacy finding is consistent with the overall PO literature supporting parental involvement in the treatment of PO. Future research efforts should address retention in FBT-PO.

Smartphone ownership and perspectives on health apps among a vulnerable population in East Harlem, New York.

BACKGROUND: Individuals from low-income and racial/ethnic minority backgrounds have traditionally had less access to mobile health (mHealth) technologies, but there is evidence that this gap has been rapidly narrowing. Given the increase in access to mobile technologies recently seen in vulnerable populations, mHealth has been championed as a strategy for improving population health and reducing health disparities. However, members of low-income and racial/ethnic minority populations have had a limited role in the development and implementation of mHealth interventions designed to impact them. METHODS: We used community-based participatory research (CBPR), a research approach that is frequently employed to help reach communities that are disproportionately affected by illness but are difficult to engage. Our community-academic collaboration, the East Harlem Partnership for Diabetes Prevention, sought to create a mobile technology platform that would allow adults in East Harlem, New York to improve their own health and promote the health of the broader community. As a first step, we developed and conducted a survey of community residents to better understand access to, usage of, and attitudes towards mobile technologies among diverse, low-income adults. We administered the cross-sectional survey to a convenience sample of adults who utilized a variety of community-based organizations in East Harlem. We examined frequencies for each survey item and then used chi-square tests (or Fisher's exact tests) and multivariate logistic regression to evaluate relationships between these outcomes and sociodemographic factors. RESULTS: We approached 154 people, of whom 104 (68%) agreed to participate. The majority of respondents were of Black and/or Hispanic/Latino descent with a mean age of 37 years. Our sample displayed a high percentage of smartphone ownership (82% of the participants reported that they owned a cell phone, and 88% of owners reported that their cell phone was a smartphone). We found lower rates of ownership among individuals who were older, self-identified as Latino, insured by Medicare, and had a household income of less than $30,000 per year. Multivariate logistic regression showed that after adjusting for age, gender and race, those with at least a high school education were seven times more likely to use health apps than those with less than a high school education (OR 6.8, 95% CI: 1.7-27.1). Participants expressed interest in health promoting apps that provide interactive, individualized diet, exercise and weight loss tools and offer information about local health resources and events. CONCLUSIONS: Despite some notable disparities, our study results suggest that the digital divide is narrowing in the East Harlem community with relatively high rates of smartphone ownership and use, even among individuals from low-income, low education backgrounds and those without health insurance. Based on study results, our partnership developed an app supporting healthy lifestyle and diabetes prevention tailored to the East Harlem community.