Faculty Bibliography

AIMS/OBJECTIVE:To characterize changes in continuous glucose monitoring (CGM)-derived time in tight range (TIR) measures in individuals with prediabetes or non-insulin-treated type 2 diabetes undergoing dietary weight loss intervention and to quantify the association between weight loss and TIR improvement. METHODS:) were analysed. The association between weight change and TIR change adjusted for demographic and clinical covariates was computed using linear regression. RESULTS:. There were no associations between weight loss and change in any overnight TIR measure. CONCLUSION/CONCLUSIONS:in individuals with prediabetes and non-insulin-treated type 2 diabetes undergoing dietary intervention. The daytime time in tight range measures can complement traditional markers like HbA1c, offering a more comprehensive view of glycaemic variations during dietary weight loss programmes for individuals with prediabetes and type 2 diabetes not on insulin.

OBJECTIVE:To examine the associations of deprived neighbourhoods with all-cause mortality and incident cardiovascular disease (CVD) and to investigate whether these associations were independently and concurrently stratified by sex and ethnicity. METHODS:Data came from the UK Biobank, a prospective cohort study of over 500 000 participants aged 22-69 across the UK between 2006 and 2010. The follow-up time was calculated from each participant's enrolment at baseline until the first occurrence of a diagnosis of each death, incident or the censor date (31 December 2020). All-cause mortality, incident total CVD, ischaemic heart disease (IHD) and cerebrovascular disease (CeVD) were the outcomes defined based on the International Classification of Diseases. Deprived neighbourhoods were categorised into four groups: least deprived (referent), somewhat deprived, deprived, and most deprived neighbourhoods. Cox proportional hazards models were used to examine associations of deprived neighbourhoods with each outcome. Analyses were stratified by sex and ethnicity separately and simultaneously. RESULTS:A total of 261 954 participants were included. Participants had a mean follow-up of 14.3 years for all-cause mortality (3 745 307 person-years, 9933 deaths) and 12.7 years for total CVD incidence (3 321 619 person-years, 64 748 events). Those in the most deprived neighbourhoods (compared with the least) had a 31%, 13%, 15% and 34% greater risk of all-cause mortality, incident total CVD, IHD and CeVD, respectively. Patterns of associations were somewhat similar by sex, yet varied by ethnicity. The overall results were consistent with the white cohort but not for the other cohorts. CONCLUSIONS:This study indicated that individuals living in highly deprived neighbourhoods may have an elevated risk of all-cause mortality and incident CVD, particularly among the white cohort but not other cohorts. Future research should focus on efforts to invest in deprived areas to alleviate the burden of all-cause mortality and CVD incidence.

AIMS/OBJECTIVE:This study tested direct and indirect associations between neighborhood social environments and type 2 diabetes (T2D), serially mediated via health-related (physical activity [PA], body mass index [BMI]), psychosocial factors, and inflammation. METHODS:Data came from the Midlife in the United States (MIDUS 3 [2013-2014] and MIDUS 3 Biomarker Project [2017-2022]; n = 518). T2D (yes/no) was based on the American Diabetes Association criteria. Perceived neighborhood social cohesion and safety were assessed separately (higher scores = more favorable neighborhoods). PA, BMI, perceived stress, depression, and c-reactive protein (CRP) were included as mediators in the associations between exposure and the outcome adjusting for covariates. RESULTS:Higher social cohesion was indirectly related to lower likelihood of T2D, serially mediated through PA, BMI, and CRP (odds ratio [OR] = 1.00 [95 % bias-corrected confidence interval [BC CI] = 0.99, 1.00]). Higher social cohesion and safety were indirectly associated with a lower likelihood of T2D, serially mediated via stress, depression, and CRP (Social cohesion: OR = 0.98 [95 % BC CI = 0.96, 1.00]; and safety: OR = 0.98 [95 % BC CI = 0.96, 1.00], all p < 0.05). CONCLUSIONS:This study may be the first to demonstrate underlying potential mechanisms through which socially cohesive and safe neighborhoods lower the risk of T2D. These pathways present potential targets for interventions to reduce the risk.

BACKGROUND:Minoritized populations face many barriers to accessing evidence-based diabetes intervention. OBJECTIVES/OBJECTIVE:To evaluate the feasibility, acceptability, and potential efficacy of a social media-based intervention to improve glycemic control among Chinese Americans with type 2 diabetes. DESIGN/METHODS:A pilot randomized controlled trial (RCT) with 3-month and 6-month follow-ups. PARTICIPANTS/METHODS:Chinese Americans (n = 60, mean age 54.3 years old) with limited education (70.0% with high school or less) and low income (50.0% with annual household income < $25,000), and 88.3% have limited English proficiency. INTERVENTION/METHODS:Culturally and linguistically tailored diabetes videos (two videos/week for 12 weeks) delivered via social media and support calls from community health workers. MAIN MEASURES/METHODS:Primary outcomes include feasibility (video watch rate, biweekly call completion rate, and retention rates), acceptability (patient satisfaction), and HbA1c. Secondary health-related outcomes include body weight, BMI, physical activity, and dietary intake. Video watch rate and biweekly call completion rate were assessed at baseline and 3 months, while others were measured at baseline, 3 months, and 6 months. RESULTS:We observed high feasibility and acceptability of the intervention, with retention rates over 87%, an 89% video watch rate, 80% biweekly phone call completion, and a satisfaction rating of 9 out of 10. The intervention group showed a significantly greater increase in fruit intake compared to the control group (0.15 cups vs. - 0.44 cups, adj_p = 0.023) at 3 months. While no significant differences in other outcomes were observed between the groups, the intervention group showed significant improvements in key outcomes, including reduced HbA1c levels (- 1.08%, adj_p < 0.001), weight loss (- 5.15 lbs, adj_p = 0.004), lower BMI (- 0.83, adj_p = 0.023), and reduced starchy food intake (- 0.33 cups, adj_p = 0.033) at 6 months. CONCLUSIONS:The observed high feasibility and acceptability suggest the intervention's feasibility. However, due to the limited sample size, a larger-scale RCT is warranted to test the efficacy of the intervention. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT03557697; https://clinicaltrials.gov/ct2/show/NCT03557697.

OBJECTIVE/UNASSIGNED:Despite persistent disparities in diabetes prevalence among racial and ethnic minorities, there remains a significant lack of understanding regarding the intersectionality of racial and ethnic groups and socioeconomic status (SES) with diabetes. METHODS/UNASSIGNED: = 30,754, mean age = 47.4) using cross-sectional survey cycles from 2007 to 2008 through 2017-2020. Diabetes status was self-reported by physician diagnosis. Sociodemographic factors included racial and ethnic groups and SES. Weighted Poisson models were used to examine the association of racial and ethnic groups and SES with diabetes, stratified by age groups (20-44, 45-64, 65-79), sex, and racial and ethnic groups for SES, separately. RESULTS/UNASSIGNED:Non-Hispanic Black, Hispanic, and other adults had a 47 %, 31 %, and 76 % higher prevalence of diabetes than non-Hispanic White adults, while adults from low and middle SES compared to high SES had a 37 % and 22 % higher prevalence of diabetes. Non-Hispanic Black, Hispanic, and other adults aged 45-64 years had a 45 %, 34 %, and 78 % higher prevalence of diabetes, and low and middle SES had a 57 % and 32 % higher prevalence of diabetes. Similar patterns were observed for adults aged 65-79. Males among non-Hispanic Black, Hispanic, and other adults and females from low and middle-SES families had a higher prevalence of diabetes. CONCLUSION/UNASSIGNED:Minority groups, middle and older-aged adults, males from minority groups, and females from low SES had a greater prevalence of diabetes. Effective interventions should prioritize tailoring efforts to specific minoritized and low SES groups to address diabetes disparities.

BACKGROUND:Type 2 diabetes (T2D) contributes to significant morbidity and mortality for Chinese immigrants in the United States, exacerbated by social determinants of health (SDOH) barriers such as language barriers, limited access to healthy foods, and low health literacy. OBJECTIVE:The goal of the Integrating Cultural Aspects into Diabetes Education (INCLUDE) study is to test a social media-based intervention adapting the Diabetes Prevention Program (DPP) for Chinese immigrants alongside a culturally adapted, community-supported agriculture program. Here, we report the protocol for the INCLUDE study. METHODS:INCLUDE is a 3-year randomized controlled trial (n=150). Participants with prediabetes or at risk for T2D are enrolled and randomized into either the control or intervention group (n=75 each). Participants from the intervention group receive 2-3 culturally tailored, in-language DPP videos weekly for 12 weeks, as well as biweekly phone calls from bilingual study staff to review video content, support goal setting, and assess and address SDOH-related barriers such as food insecurity. Intervention participants will also be given produce for 10 weeks as part of the community-supported agriculture program. Weight (primary outcome), self-efficacy, diet, physical activity, and food insecurity (secondary outcomes) are measured at baseline, 3-month, and 6-month intervals. Splined linear mixed models will be used to examine group differences in longitudinal weight and other secondary outcomes. The INCLUDE study was approved by the Institutional Review Board at the NYU Grossman School of Medicine. RESULTS:Recruitment started in May 2023, with the first cohort of 75 participants enrolled and randomized into 2 groups in July 2023. The 3-month and 6-month assessment of the first-year cohort has been completed. We have recruited 75 participants for the second cohort as of July 2024. CONCLUSIONS:The INCLUDE study will serve as an innovative model for culturally adapted, multilevel interventions for underserved communities previously unable to access evidence-based diabetes prevention initiatives. Aligning with several national calls for multilevel interventions, the INCLUDE intervention will provide critical data that will inform how researchers and public health professionals address SDOH barriers faced by underserved populations and prevent diabetes. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT05492916; https://clinicaltrials.gov/study/NCT05492916. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:DERR1-10.2196/65455.

OBJECTIVE:Both diabetes and smoking significantly increase the risk of cardiovascular disease (CVD). Understanding whether a diagnosis of diabetes can be leveraged to promote smoking cessation is a gap in the literature. METHODS:We used data from the US National Health Interview Survey, 2006 to 2018, to investigate the relationship between self-report of diagnosis of diabetes and subsequent smoking abstinence among 142,884 respondents who reported regular smoking at baseline. Effect sizes were presented as hazard ratios (HRs) derived from multivariable Cox regression models adjusted for potential confounders using diabetes as a time-dependent covariate. Subgroup-specific estimates were obtained using interaction terms between diabetes and variables of interest. RESULTS:A self-reported diagnosis of diabetes was associated with smoking abstinence (HR: 1.21; 95% CI: 1.16 to 1.27). The strength of the association varied based on race (P for interaction: 0.004), where it was strongest in African Americans (HR: 1.44; 95% CI: 1.29 to 1.60); income (P for interaction <0.001), where it was strongest in those with a yearly income less than $35,000 (HR: 1.45; 95% CI: 1.36 to 1.53); and educational attainment (P for interaction <0.001), where it was strongest in those who did not attend college (HR: 1.48; 95% CI: 1.40 to 1.57). CONCLUSION/CONCLUSIONS:Among adults who smoke, a diagnosis of diabetes is significantly associated with subsequent smoking abstinence. The association is strongest in socially disadvantaged demographics, including African Americans, low-income individuals, and those who did not attend college.

BACKGROUND:The Diabetes Telemedicine Mediterranean Diet (DiaTeleMed) Study is a fully remote randomized clinical trial evaluating personalized dietary management in individuals with type 2 diabetes (T2D). The study aims to test the efficacy of a personalized behavioral approach for dietary management of moderately controlled T2D, versus a standardized behavioral intervention that uses one-size-fits-all dietary recommendations, versus a usual care control (UCC). The primary outcome will compare the impact of each intervention on the mean amplitude of glycemic excursions (MAGE). METHODS:Eligible participants are between 21 and 80 years of age diagnosed with moderately controlled T2D (HbA1c: 6.0 to 8.0%) and managed on lifestyle alone or lifestyle plus metformin. Participants must be willing and able to attend virtual counseling sessions and log meals into a dietary tracking smartphone application (DayTwo), and wear a continuous glucose monitor (CGM) for up to 12 days. Participants are randomized with equal allocation (n = 255, n = 85 per arm) to one of three arms: (1) Personalized, (2) Standardized, or (3) UCC. Measurements occur at 0 (baseline), 3, and 6 months. All participants receive isocaloric energy and macronutrient targets to meet Mediterranean diet guidelines, in addition to 14 intervention contacts over 6 months (4 weekly then 10 biweekly) to cover diabetes self-management education. The first 4 UCC intervention contacts are delivered via synchronous videoconferences followed by educational video links. Participants in Standardized receive the same educational content as those in the UCC arm, following the same schedule. However, all intervention contacts are conducted via synchronous videoconferences, paired with Social Cognitive Theory (SCT)-based behavioral counseling, plus dietary self-monitoring of planned meals using a mobile app that provides real-time feedback on calories and macronutrients. Participants in the Personalized arm receive all elements of the Standardized intervention, in addition to real-time feedback on predicted post-prandial glycemic response (PPGR) to meals and snacks logged into the mobile app. DISCUSSION/CONCLUSIONS:The DiaTeleMed Study aims to address an important gap in the current landscape of precision nutrition by determining the contributions of behavioral counseling and personalized nutrition recommendations on glycemic control in individuals with T2D. The fully remote methodology of the study allows for scalability and innovative delivery of personalized dietary recommendations at a population level. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT05046886. Registered on September 16, 2021.

BACKGROUND:Emerging evidence indicates that individuals with type 2 diabetes (T2D) are more prone to mental health issues than the general population; however, there is a significant lack of data concerning the mental health burden in Chinese Americans with T2D. OBJECTIVE:The aim of this study was to explore the comorbid mental health status, health-seeking behaviors, and mental service utilization among Chinese Americans with T2D. METHODS:A cross-sectional telephone survey was performed among 74 Chinese Americans with T2D in New York City. We used standardized questionnaires to assess mental health status and to gather data on mental health-seeking behaviors and service utilization. Descriptive statistics were applied for data analysis. RESULTS:A total of 74 Chinese Americans with T2D completed the survey. Most participants (mean age 56, SD 10 years) identified as female (42/74, 57%), were born outside the United States (73/74, 99%), and had limited English proficiency (71/74, 96%). Despite nearly half of the participants (34/74, 46%) reporting at least one mental health concern (elevated stress, depressive symptoms, and/or anxiety), only 3% (2/74) were currently using mental health services. Common reasons for not seeking care included no perceived need, lack of information about Chinese-speaking providers, cost, and time constraints. The cultural and language competence of the provider was ranked as the top factor related to seeking mental health care. CONCLUSIONS:Chinese Americans with T2D experience relatively high comorbid mental health concerns yet have low service utilization. Clinicians may consider team-based care to incorporate mental health screening and identify strategies to provide culturally and linguistically concordant mental health services to engage Chinese Americans with T2D.

OBJECTIVE:To assess contemporaneous and temporal dynamics of perceived social isolation (PSI), secondary conditions, and daily activity patterns in individuals post-stroke. DESIGN/METHODS:Longitudinal observational study using ecological momentary assessment (EMA) as a real-time assessment of an individual's lived experiences. We conducted dynamic network analyses to examine longitudinal associations among EMA variables. SETTINGS/METHODS:Home and Community. PARTICIPANTS/METHODS:202 individuals with mild-to-moderate chronic stroke (median age=60 years; 45% women; 44% black; 90% ischemic stroke; median NIHSS score=2; N=202). INTERVENTION/METHODS:Not applicable. MAIN OUTCOME MEASURES/METHODS:EMA questions measured PSI, secondary conditions (pain, tiredness, stress, anxiety, worthlessness, difficulty concentrating, and cheerfulness), and daily activity patterns (being at home, being alone, and participating in productive activities). RESULTS:The median EMA response rate was 84%. The contemporaneous model showed that PSI was associated with being home, alone, and all symptoms except pain. The temporal model revealed a pathway indicating that feelings of worthlessness predicted PSI (regression coefficient=0.06, P=.019), followed by stress (regression coefficient=0.06, P=.024), and then by being not at home (regression coefficient=-0.04, P=.013). CONCLUSION/CONCLUSIONS:Implementing dynamic network analyses on EMA data can uncover dynamic connections among PSI, secondary conditions, and daily activity patterns after stroke. This study found a significant temporal association between PSI and negative emotions. Feeling isolated was followed by feeling stressed, which was followed by a tendency to be out of home, indicating adaptive behaviors in individuals with stroke. These findings highlight the importance of engaging in out-of-home or outdoor activities to mitigate PSI and negative emotions.