Randomized trial of an integrated care intervention among Latino adults: Sustained effects on diabetes management.

We examined the 12-month maintenance effects of a previously successful integrated model of diabetes care at improving glycemic management and psychological well-being among Latino adults with type 2 diabetes (T2D). A randomized controlled trial (2015-19) compared an integrated care intervention (ICI) with usual care among 456 adults with T2D. The ICI included integrated medical and behavioral care and health education over 6 months. Assessments were completed at baseline, 3, 6, 9, and 12 months. Most participants were female (63.7%) with a mean age of 55.7 years. In multilevel models, significant Group × Time (quadratic) interaction effects were found for HbA1c [Bint = 0.10, 95% confidence interval (CI) 0.02, 0.17, P < .01] and anxiety symptoms (Bint = 0.20, 95% CI 0.05, 0.35, P < .009), but not depression symptoms (Bint = 0.15, 95% CI -0.01, 0.31, P < .07). Analyses of instantaneous rate of change in the ICI group showed significant decreases at 3 and 6 months for both HbAc1 (B = -0.31 at 3 months; B = -0.12 at 6 months) and anxiety symptoms (B = -0.92 at 3 months; B = -0.46 at 6 months), and no significant instantaneous changes at 9 or 12 months, suggesting that initial improvements were largely maintained. The usual care group showed a small decrease in anxiety symptoms at 6 months (B = -0.17), but no other significant changes at any time-point for anxiety or HbA1c (all Ps > .05). This culturally tailored integrated care model shows potential in producing and sustaining positive effects on clinical and psychological outcomes above standard care.

Our previous studies found that a culturally adapted, enhanced service (integrated care intervention) that we developed improved glycemic management and decreased depression and anxiety symptoms over the 6 months that the service was offered. In this study, we examined whether those improvements in diabetes management and depression and anxiety symptoms were maintained up to 6 months after the conclusion of the intervention. The integrated care intervention involved providing medical and behavioral healthcare on the same day and at the same location as well as health education for 6 months. The study participants were 456 Latino adults (aged 23­80 years) who had type 2 diabetes and were not taking insulin. Participants were randomly assigned to one of two groups: the integrated care intervention or usual care. In this study, we found that the improvements in glycemic management and in anxiety and depression symptoms previously shown were largely maintained. These findings suggest that culturally adapted health services that include both medical and behavioral care and health education programs may benefit Latino patients with type 2 diabetes.

Moderators of Loneliness Trajectories in People with Systemic Sclerosis During the COVID-19 Pandemic: A SPIN COVID-19 Cohort Longitudinal Study.

BACKGROUND: Many individuals with systemic sclerosis (SSc) are at heightened risk for COVID-19 related morbidity and isolation due to interstitial lung disease, frailty, and immunosuppressant use. Minimal research has explored loneliness predictors in individuals with chronic illnesses during COVID-19. This study evaluated moderators of loneliness trajectories in individuals with SSc during COVID-19. METHODS: Longitudinal data were analyzed across 30 timepoints from April 2020 to May 2022 from 775 adults in the Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Cohort. Hierarchical linear modeling evaluated cross-level moderators of loneliness trajectories, including marital status, baseline number of household members, number of virtual or telephone one-on-one or virtual group conversations, number of hours spent enjoying in-person household conversations or activities, and satisfaction with quality of in-person household conversations (all in the past week). Level-1 moderation analyses assessed effects of conversation, activity, and satisfaction means and slopes over time. RESULTS: Baseline values were not statistically significant moderators of loneliness trajectories. Higher mean (averaged over time) virtual or telephone one-on-one and in-person household conversations, in-person household activity, and in-person household conversation satisfaction were associated with lower loneliness trajectories (ps < .05). The relationship between in-person household conversation satisfaction and loneliness trajectory was statistically significantly but minimally attenuated over time (p < .001). CONCLUSIONS: For people with SSc, higher mean conversation, activity, and satisfaction variables were associated with lower levels of loneliness during the pandemic, but changes in these social variables were generally not predictive of changes in loneliness.

Measurement equivalence of the English and French versions of the self-efficacy to manage chronic disease scale: a Scleroderma Patient-Centered Intervention Network (SPIN) study.

PURPOSE: The Self-Efficacy to Manage Chronic Disease (SEMCD) scale is widely used, including in systemic sclerosis (SSc). The SEMCD has been validated in SSc, but the metric equivalence of the English and French versions has not been assessed (i.e., whether psychometric properties are equivalent across English and French). METHODS: Participants were adults from the Scleroderma Patient-Centered Intervention Network (SPIN) Cohort (N = 2159) who completed baseline measures in English (n = 1473) or French (n = 686) between May 2014 to July 2020. Analyses assessed internal consistency reliability via Cronbach's alpha and McDonald's omega, convergent validity via Pearson's correlations, structural validity via confirmatory factor analysis (CFA), and differential item functioning via the Multiple-Indicator Multiple-Cause (MIMIC) model. RESULTS: Internal consistency reliability was high in English (α = .93, ω = .93) and French (α = .92, ω = .93). All correlations between the SEMCD and measures of health outcomes were moderate to large, statistically significant, and in the hypothesized direction in both languages. The CFA demonstrated that the one-factor model of self-efficacy, overall, fit reasonably well (CFI = .96, TLI = .93, SRMR = .03, RMSEA = .14). Standardized factor loadings were large (.76 to .88). Three items displayed statistically significant uniform DIF and all six displayed nonuniform DIF; all DIF was of minimal magnitude. Comparison of unadjusted and DIF-adjusted models indicated that DIF did not meaningfully impact total score (ICC = 0.999, r = 0.999). CONCLUSION: Scores from English- and French-speaking adults with SSc can be combined for analysis or compared.

Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies.

STUDY OBJECTIVES: To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults. METHODS: Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score. RESULTS: Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09). CONCLUSIONS: Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.

Hub-and-Spoke centralized intervention to optimize colorectal cancer screening and follow-up: A pragmatic, cluster-randomized controlled trial protocol.

BACKGROUND: Guidelines recommend screening for colorectal cancer (CRC), but participation and abnormal test follow up rates are suboptimal, with disparities by demography. Evidence-based interventions exist to promote screening, but community adoption and implementation are limited. METHODS: The San Diego Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) program is an academic-community partnership testing regional implementation of a Hub-and-Spoke model for increasing CRC screening and follow-up. The "hub" is a non-academic, non-profit organization that includes 17 community health center (CHC) systems, serving over 190 rural and urban clinic sites. The "spokes" are 3 CHC systems that oversee 11-28 clinics each, totaling over 60 clinics. Using a cluster-randomized trial design, 9 clinics were randomized to intervention and 16 to usual care. Within intervention clinics, approximately 5000 eligible patients not up-to-date with CRC screening per year were identified for intervention. Interventions include an invitation primer, a mailed fecal immunochemical test with completion instructions, and phone and text-based reminders (hub) and patient navigation protocol to promote colonoscopy completion after abnormal FIT (spoke). Outcomes include: 1) proportion of patients up-to-date with screening after three years in intervention versus non-intervention clinics; 2) proportion of patients with abnormal FIT completing colonoscopy within six months of the abnormal result. Implementation science measures are collected to assess acceptability, intervention and usual care adaptations, and sustainability of the intervention strategies. CONCLUSION: This large-scale, regional cluster randomized trial among CHCs serving diverse populations is anticipated to accelerate progress in CRC prevention in underserved populations. TRIAL REGISTRATION: NCT04941300.

Pain-Related Anxiety in Spanish-Speaking Mexican Americans Who Report Chronic Pain: Psychometric Evaluation of a New Spanish Adaptation of the 20-Item Pain Anxiety Symptom Scale (PASS-20).

The 20-item Pain Anxiety Symptom Scale (PASS-20) was adapted for Spanish-speaking Mexican Americans who report chronic pain (SSMACP). The instrument measures pain-related anxiety with fear, physiological, avoidance/escape, and cognitive anxiety as subtypes. In SSMACP, the Spanish PASS-20's psychometric properties were evaluated while exploring relationships between pain-related anxiety with other variables. Using convenience sampling, 188 SSMACP (women = 108, men = 77; mean age = 37.20 years, standard deviation = 9.87) were recruited across the United States. Confirmatory factor analyses examined the structural validity of the hierarchical factor structure. Hierarchical multiple regression examined incremental validity. Correlational analyses examined convergent validity. Cronbach's coefficient alphas and McDonald's omegas examined internal consistency. Pearson's r, t-tests, and analysis of variance tests examined relationships between demographic variables and PASS-20 scores. Confirmatory factor analyses supported the hierarchical factor structure (root mean square error of approximation = .061, standardized root mean residual = .038, comparative fit index = .940). Total and subscale PASS-20 scores had acceptable convergent validity and internal consistency (range = .75-.93). Hierarchical multiple regression found that total and subscale PASS-20 scores have adequate incremental validity, considering that they contributed uniquely to the prediction of generalized anxiety scores above and beyond other pain-related scores. Demographic variables were significantly related to total and subscale PASS-20 scores. Evidence supports the use of Spanish total and subscale PASS-20 scores in SSMACP. Exploratory evidence also informed on the possible consequences and predictors of their pain-related anxiety. The results also encourage pain research in specific populations from Latin America (eg, Mexican Americans). PERSPECTIVE: The Spanish PASS-20 has adequate psychometric properties in SSMACP. This instrument can help catalyze pain research in SSMACP by informing on their pain-related anxiety and by helping evaluate other pain-related instruments. Evidence also informed on pain-related anxiety in SSMACP.

Evaluation of Measurement Properties and Differential Item Functioning in the English and French Versions of the University of California, Los Angeles, Loneliness Scale-6: A Scleroderma Patient-Centered Intervention Network (SPIN) Study.

OBJECTIVE: Loneliness has been associated with poorer health-related quality of life but has not been studied in patients with systemic sclerosis (SSc). The current study was undertaken to examine and compare the psychometric properties of the English and French versions of the University of California, Los Angeles, Loneliness Scale-6 (ULS-6) in patients with SSc during the COVID-19 pandemic. METHODS: This study used baseline cross-sectional data from 775 adults enrolled in the Scleroderma Patient-Centered Intervention Network (SPIN) COVID-19 Cohort. Reliability and validity of ULS-6 scores overall and between languages were evaluated using confirmatory factor analysis (CFA), differential item functioning (DIF) through the multiple-indicator multiple-cause (MIMIC) model, omega/alpha calculation, and correlations of hypothesized convergent relationships. RESULTS: CFA for the total sample supported the single-factor structure (comparative fit index [CFI] 0.96, standardized root mean residual [SRMR] 0.03), and all standardized factor loadings for items were large (0.60-0.86). The overall MIMIC model with language as a covariate fit well (CFI 0.94, SRMR 0.04, root mean square error of approximation 0.11). Statistically significant DIF was found for 3 items across language (ßitem2  = 0.14, P < 0.001; ßitem4  = -0.07, P = 0.01; ßitem6  = 0.13, P < 0.001), but these small differences were without practical measurement implications. Analyses demonstrated high internal consistency with no language-based convergent validity differences. CONCLUSION: Analyses demonstrated evidence of acceptable reliability and validity of ULS-6 scores in English- and French-speaking adults with SSc. DIF analysis supported use of the ULS-6 to examine comparative experiences of loneliness without adjusting for language.

Tailoring dissemination strategies to increase evidence-informed policymaking for opioid use disorder treatment: study protocol.

BACKGROUND: Policy is a powerful tool for systematically altering healthcare access and quality, but the research to policy gap impedes translating evidence-based practices into public policy and limits widespread improvements in service and population health outcomes. The US opioid epidemic disproportionately impacts Medicaid members who rely on publicly funded benefits to access evidence-based treatment including medications for opioid use disorder (MOUD). A myriad of misaligned policies and evidence-use behaviors by policymakers across federal agencies, state Medicaid agencies, and managed care organizations limit coverage of and access to MOUD for Medicaid members. Dissemination strategies that improve policymakers' use of current evidence are critical to improving MOUD benefits and reducing health disparities. However, no research describes key determinants of Medicaid policymakers' evidence use behaviors or preferences, and few studies have examined data-driven approaches to developing dissemination strategies to enhance evidence-informed policymaking. This study aims to identify determinants and intermediaries that influence policymakers' evidence use behaviors, then develop and test data-driven tailored dissemination strategies that promote MOUD coverage in benefit arrays. METHODS: Guided by the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework, we will conduct a national survey of state Medicaid agency and managed care organization policymakers to identify determinants and intermediaries that influence how they seek, receive, and use research in their decision-making processes. We will use latent class methods to empirically identify subgroups of agencies with distinct evidence use behaviors. A 10-step dissemination strategy development and specification process will be used to tailor strategies to significant predictors identified for each latent class. Tailored dissemination strategies will be deployed to each class of policymakers and assessed for their acceptability, appropriateness, and feasibility for delivering evidence about MOUD benefit design. DISCUSSION: This study will illuminate key determinants and intermediaries that influence policymakers' evidence use behaviors when designing benefits for MOUD. This study will produce a critically needed set of data-driven, tailored policy dissemination strategies. Study results will inform a subsequent multi-site trial measuring the effectiveness of tailored dissemination strategies on MOUD benefit design and implementation. Lessons from dissemination strategy development will inform future research about policymakers' evidence use preferences and offer a replicable process for tailoring dissemination strategies.

Associations between body image patterns and body image-related pathology in sexual minority individuals: A mixture-modeling approach.

Body image concerns are associated with disordered eating, body dysmorphic disorder (BDD), and illicit appearance and performance enhancing drug (APED) misuse. Sexual minority individuals are a vulnerable population for body image concerns. Latent profile analyses were used to identify body image patterns in sexual minority men (n = 479) and women (n = 483) and to investigate associations between latent profiles and body image-related pathology. A 5-profile solution demonstrated best fit for men and a 4-profile solution for women. Among women, co-occurring high thinness/muscularity concerns had higher probability of vomiting and dietary restriction than the high thinness/low muscularity concerns profile. The probability of driven exercise did not differ across latent profiles for men and only differed between low thinness/low muscularity and high thinness/high muscularity concerns profiles in women. Men with low thinness/high muscularity concerns had significantly lower probability of vomiting and laxative misuse than all other profiles but did not significantly differ from co-occurring high or moderate thinness/muscularity concerns profiles in binge eating and illicit APED misuse. This study may have implications for future research, treatment, and prevention of body image-related pathology in sexual minority individuals.

Mi Puente (My Bridge) Care Transitions Program for Hispanic/Latino Adults with Multimorbidity: Results of a Randomized Controlled Trial.

BACKGROUND: Multimorbidity frequently co-occurs with behavioral health concerns and leads to increased healthcare costs and reduced quality and quantity of life. Unplanned readmissions are a primary driver of high healthcare costs. OBJECTIVE: We tested the effectiveness of a culturally appropriate care transitions program for Latino adults with multiple cardiometabolic conditions and behavioral health concerns in reducing hospital utilization and improving patient-reported outcomes. DESIGN: Randomized, controlled, single-blind parallel-groups. PARTICIPANTS: Hispanic/Latino adults (N=536; 75% of those screened and eligible; M=62.3 years (SD=13.9); 48% women; 73% born in Mexico) with multiple chronic cardiometabolic conditions and at least one behavioral health concern (e.g., depression symptoms, alcohol misuse) hospitalized at a hospital that serves a large, mostly Hispanic/Latino, low-income population. INTERVENTIONS: Usual care (UC) involved best-practice discharge processes (e.g., discharge instructions, assistance with appointments). Mi Puente ("My Bridge"; MP) was a culturally appropriate program of UC plus inpatient and telephone encounters with a behavioral health nurse and community mentor team who addressed participants' social, medical, and behavioral health needs. MAIN MEASURES: The primary outcome was 30- and 180-day readmissions (inpatient, emergency, and observation visits). Patient-reported outcomes (quality of life, patient activation) and healthcare use were also examined. KEY RESULTS: In intention-to-treat models, the MP group evidenced a higher rate of recurrent hospitalization (15.9%) versus UC (9.4%) (OR=1.91 (95% CI 1.09, 3.33)), and a greater number of recurrent hospitalizations (M=0.20 (SD=0.49) MP versus 0.12 (SD=0.45) UC; P=0.02) at 30 days. Similar trends were observed at 180 days. Both groups showed improved patient-reported outcomes, with no advantage in the Mi Puente group. Results were similar in per protocol analyses. CONCLUSIONS: In this at-risk population, the MP group experienced increased hospital utilization and did not demonstrate an advantage in improved patient-reported outcomes, relative to UC. Possible reasons for these unexpected findings are discussed. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02723019. Registered on 30 March 2016.

Moving towards a taxonomy of cognitive impairments in epilepsy: application of latent profile analysis to 1178 patients with temporal lobe epilepsy.

In efforts to understand the cognitive heterogeneity within and across epilepsy syndromes, cognitive phenotyping has been proposed as a new taxonomy aimed at developing a harmonized approach to cognitive classification in epilepsy. Data- and clinically driven approaches have been previously used with variability in the phenotypes derived across studies. In our study, we utilize latent profile analysis to test several models of phenotypes in a large multicentre sample of patients with temporal lobe epilepsy and evaluate their demographic and clinical profiles. For the first time, we examine the added value of replacing missing data and examine factors that may be contributing to missingness. A sample of 1178 participants met the inclusion criteria for the study, which included a diagnosis of temporal lobe epilepsy and the availability of comprehensive neuropsychological data. Models with two to five classes were examined using latent profile analysis and the optimal model was selected based on fit indices, posterior probabilities and proportion of sample sizes. The models were also examined with imputed data to investigate the impact of missing data on model selection. Based on the fit indices, posterior probability and distinctiveness of the latent classes, a three-class solution was the optimal solution. This three-class solution comprised a group of patients with multidomain impairments, a group with impairments predominantly in language and a group with no impairments. Overall, the multidomain group demonstrated a worse clinical profile and comprised a greater proportion of patients with mesial temporal sclerosis, a longer disease duration and a higher number of anti-seizure medications. The four-class and five-class solutions demonstrated the lowest probabilities of a group membership. Analyses with imputed data demonstrated that the four-class solution was the optimal solution; however, there was a weak agreement between the missing and imputed data sets for the four-Class solutions (κ = 0.288, P < 0.001). This study represents the first to use latent profile analysis to test and compare multiple models of cognitive phenotypes in temporal lobe epilepsy and to determine the impact of missing data on model fit. We found that the three-phenotype model was the most meaningful based on several fit indices and produced phenotypes with unique demographic and clinical profiles. Our findings demonstrate that latent profile analysis is a rigorous method to identify phenotypes in large, heterogeneous epilepsy samples. Furthermore, this study highlights the importance of examining the impact of missing data in phenotyping methods. Our latent profile analysis-derived phenotypes can inform future studies aimed at identifying cognitive phenotypes in other neurological disorders.

Confirmatory Factor and Measurement Invariance Analyses of the Drive for Muscularity Scale in Sexual Minority Men and Women.

The Drive for Muscularity Scale (DMS) is a commonly used measure used to assess the pursuit of muscularity. However, the factor structure of this measure has yet to be confirmed in a sample of sexual minority women. Moreover, the invariance of this measure across gender has also yet to be explored. The aim of the present study was, therefore, to conduct a confirmatory factor analysis (CFA) of the DMS in samples of both cisgender sexual minority men and women, and subsequently evaluate the measurement invariance by gender. The sample consisted of 962 cisgender sexual minority young adult men (N = 479) and women (N = 483). A series of CFAs were conducted, assessing both the one-factor and two-factor solutions of the DMS, with and without the inclusion of item 10 ("I think about taking anabolic steroids"). Across cisgender sexual minority young adult men and women, the 14-item two-factor solution demonstrated most appropriate fit, although the 15-item two-factor solution was also adequate among only women. Measurement invariance analyses indicated that the 14-item two-factor DMS can be used in samples of both cisgender sexual minority men and women. The present study was novel in exploring the factor structure of the DMS in sexual minority women and measurement invariance by gender; however, future research is needed to further corroborate these findings and assess measurement invariance by sexual orientation and race.

Exploring classes of cancer patient navigators and determinants of navigator role retention.

BACKGROUND: In the current nationwide study, the authors used latent class analysis (LCA) to identify classes of cancer patient navigators (CPNs) and examined whether class membership and 12 indicators were related to navigator role retention. METHODS: By using data from 460 CPNs in the United States, LCA identified classes (ie, homogenous subgroups) of CPNs with the following indicators: type of CPN (clinical vs nonclinical), education level, area(s) of the cancer care continuum in which the CPN provided patient navigation, region and urbanity where the CPN provided services, organizational work setting, and patient navigation program funding source. The associations of navigator retention with class membership and each indicator were examined using χ2 tests. RESULTS: LCA identified 3 classes of CPNs. Classes 1 and 3 were conceptualized as distinct, homogeneous subgroups of clinical CPNs that appeared to differ mainly on their likelihood of engagement in outreach, survivorship, palliative care, and end-of-life patient navigation. Class 2 was conceptualized as a nonclinical CPN subgroup that was distinct primarily based on their high endorsement of employment in programs, which are at least partially funded by grants and engagement in earlier stages of patient navigation (eg, early detection). The provision of survivorship and treatment patient navigation was related to navigator role retention, with senior CPNs providing these patient navigation services more than novice CPNs. CONCLUSIONS: The current study highlights 3 distinct classes of CPNs, provides initial information regarding determinants of navigator retention, and makes several recommendations for future patient navigation research.

Neighborhood built environments and Hispanic/Latino adults' physical activity in the U.S.: The Hispanic community health study/study of Latinos community and surrounding areas study.

Despite experiencing health inequities, less is known about neighborhood environments and physical activity among Hispanic/Latino adults compared to other populations. We investigated this topic in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Hispanic/Latino adults in the San Diego, California area of the U.S. completed measures of overall moderate-to-vigorous physical activity (MVPA) via accelerometry and domain-specific MVPA via questionnaire at Visits 1 (2008-2011; n = 4086) and 2 (2014-2017; n = 1776), ~6 years apart. 800-m home neighborhood buffers were used to create objective measures of residential, intersection, and retail density, bus/trolley stops, greenness, parks, and recreation area at Visit 1. Regression models tested the association of each neighborhood feature with MVPA at Visit 1 and over 6 years, adjusting for individual characteristics and neighborhood socioeconomic deprivation. At Visit 1, those in neighborhoods with higher vs. lower retail density or recreation area (+1 vs. -1 standard deviation from the mean) engaged in 10% more overall MVPA and 12-22% more active transportation. Those in neighborhoods with higher vs. lower residential density engaged in 22% more active transportation. Those in neighborhoods with higher vs. lower greenness and park count engaged in 14-16% more recreational MVPA. Neighborhood features were unassociated with changes in MVPA over 6 years. Although changes in MVPA over time were similar across neighborhoods, Hispanic/Latino adults living in neighborhoods with design features supportive of walking and recreational activity (e.g., greater residential and retail density, more parks and recreation facilities) were consistently more active. Improving neighborhood environments appears important for supporting physical activity among Hispanic/Latino adults.

Neighborhood Environment and Metabolic Risk in Hispanics/Latinos From the Hispanic Community Health Study/Study of Latinos.

INTRODUCTION: This study examines the associations of neighborhood environments with BMI, HbA1c, and diabetes across 6 years in Hispanic/Latino adults. METHODS: Participants from the Hispanic Community Health Study/Study of Latinos San Diego site (n=3,851, mean age=39.4 years, 53.3% women, 94.0% Mexican heritage) underwent assessment of metabolic risk factors and diabetes status (categorized as normoglycemia, prediabetes, and diabetes) at baseline (2008-2011) and approximately 6 years later (2014-2017). In the Study of Latinos Community and Surrounding Areas Study ancillary study (2015-2020), participant baseline addresses were geocoded, and neighborhoods were defined using 800-meter circular buffers. Neighborhood variables representing socioeconomic deprivation, residential stability, social disorder, walkability, and greenness were created using Census and other public databases. Analyses were conducted in 2020-2021. RESULTS: Complex survey regression analyses revealed that greater neighborhood socioeconomic deprivation was associated with higher BMI (ß=0.14, p<0.001) and HbA1c (ß=0.08, p<0.01) levels and a higher odds of worse diabetes status (i.e., having prediabetes versus normoglycemia and having diabetes versus prediabetes; OR=1.25, 95% CI=1.06, 1.47) at baseline. Greater baseline neighborhood deprivation also was related to increasing BMI (ß=0.05, p<0.01) and worsening diabetes (OR=1.27, 95% CI=1.10, 1.46) statuses, whereas social disorder was related to increasing BMI levels (ß=0.05, p<0.05) at Visit 2. There were no associations of expected protective factors of walkability, greenness, or residential stability. CONCLUSIONS: Neighborhood deprivation and disorder were related to worse metabolic health in San Diego Hispanic/Latino adults of mostly Mexican heritage. Multilevel interventions emphasizing individual and structural determinants may be most effective in improving metabolic health among Hispanic/Latino individuals.

Health, Psychological and Demographic Predictors of Depression in People with Fibromyalgia and Osteoarthritis.

Depression is common in people with fibromyalgia (FM) and osteoarthritis (OA) and has been linked to adverse health outcomes in these conditions. The purpose of this study was to examine differences in predictors of depression among individuals with FM and OA using a range of health, demographic, and psychological variables. Of the total 963 participants, 600 were diagnosed with FM, and 363 with OA. The Quality of Well-Being Scale (QWB) was used to assess health status. The Fibromyalgia Impact Questionnaire (FIQ) and the Arthritis Impact Measurement Scale (AIMS) were used to measure disease-specific impact. Additionally, participants completed self-efficacy and helplessness assessments. Depression was measured using the Center for Epidemiological Studies Scale (CES-D). The results of a moderated linear regression showed that higher depression scores were associated with lower health status and a greater condition impact, especially in the FM group. Self-efficacy and helplessness predicted depression in both groups, but more strongly in FM. White participants with OA were more depressed than their non-White counterparts, while the opposite was true for FM. These findings indicate that improving health status and psychological well-being might alleviate depression in both FM and OA.

Dulce Digital-Me: protocol for a randomized controlled trial of an adaptive mHealth intervention for underserved Hispanics with diabetes.

BACKGROUND: By 2034, the number of US individuals with diabetes is predicted to increase from 23.7 to 44.1 million, and annual diabetes-related spending is expected to grow from $113 to $336 billion. Up to 55% of US Hispanics born in the year 2000 are expected to develop diabetes during their lifetime. Poor healthcare access and cultural barriers prevent optimal care, adherence, and clinical benefit, placing Hispanics at disproportionate risk for costly diabetes complications. Mobile technology is increasingly prevalent in all populations and can circumvent such barriers. Our group developed Dulce Digital, an educational text messaging program that improved glycemic control relative to usual care. Dulce Digital-Me (DD-Me) has been tailored to a participant's individual needs with a greater focus on health behavior change. METHODS: This is a three-arm, parallel group, randomized trial with equal allocation ratio enrolling Hispanic adults with low income and poorly managed type 2 diabetes (N = 414) from a San Diego County Federally Qualified Health Center. Participants are randomized to receive Dulce Digital, Dulce Digital-Me-Automated, or Dulce Digital-Me-Telephonic. The DD-Me groups include Dulce Digital components plus personalized goal-setting and feedback delivered via algorithm-driven automated text messaging (DD-Me-Automated) or by the care team health coach (DD-Me-Telephonic) over a 12-month follow-up period. The study will examine the comparative effectiveness of the three groups in improving diabetes clinical control [HbA1c, primary outcome; low-density lipoprotein cholesterol (LDL-C), and systolic blood pressure (SBP)] and patient-provider communication and patient adherence (i.e., medication, self-management tasks) over 12 months and will examine cost-effectiveness of the three interventions. DISCUSSION: Our comparative evaluation of three mHealth approaches will elucidate how technology can be integrated most effectively and efficiently within primary care-based chronic care model approaches to reduce diabetes disparities in Hispanics and will assess two modes of personalized messaging delivery (i.e., automated messaging vs. telephonic by health coach) to inform cost and acceptability. TRIAL REGISTRATION: NCT03130699-All items from the WHO Trial Registration data set are available in https://clinicaltrials.gov/ct2/show/study/NCT03130699 .

Social and built neighborhood environments and blood pressure 6 years later: Results from the Hispanic Community Health Study/Study of Latinos and the SOL CASAS ancillary study.

Neighborhood-level socioeconomic deprivation can increase risk for higher blood pressure or hypertension, while greater neighborhood safety and walkability may protect against hypertension. Large-scale prospective research, particularly among Hispanics/Latinos, is lacking. We examined cross-sectional and prospective associations between neighborhood environments and blood pressure and hypertension among 3851 Hispanic/Latinos enrolled in the Hispanic Community Health Study/Study of Latinos San Diego, CA cohort. Addresses from Visit 1 (2008-2011) were geocoded and neighborhood characteristics were determined as part of the SOL CASAS ancillary study. Home addresses were geocoded and home areas created using 800 m circular radial buffers. Neighborhood indices socioeconomic deprivation, residential stability, and social disorder were created using Census and other publicly available data. Walkability was computed as density of intersections, retail spaces, and residences. Greenness was measured via satellite imagery using the Normalized Difference Vegetation Index. Visit 1 and Visit 2 (2014-2017) clinical outcomes included systolic (SBP) and diastolic (DBP) blood pressure, as well as prevalent and 6-year incident hypertension, defined as SBP/DBP ≥140/90 mmHg or antihypertensive medication use. Complex survey regression models adjusted for covariates revealed cross-sectional associations between greater walkability and lower SBP (B = -0.05; 95% CI: -0.09, -0.003). In prospective analyses, greater neighborhood social disorder was related to increasing SBP (B = 0.05; 95% CI: 0.01, 0.09) and DBP (B = 0.07; 95% CI: 0.02, 0.12) over time. Greater socioeconomic deprivation (OR = 1.47; 95% CI: 1.06, 2.04) and greater social disorder (OR = 1.25; 95% CI: 1.02, 1.54) were associated with higher odds of incident hypertension. All other associations were not significant. Beyond individual-level characteristics, greater neighborhood social disorder and socioeconomic deprivation were related to adverse changes in blood pressure over 6 years among Hispanics/Latinos. Neighborhood social environment may help identify, or be an area for future intervention for, cardiovascular risk among Hispanics/Latinos.

Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model.

Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1-5 years of follow-up. Classes were defined using 'peak-age' global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1Stable Elite (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2Quadratic Average (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3Quadratic Low (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1Stable Elite included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health.

RESUMEN: A pesar de los riesgos neurocognitivos de envejecer con VIH, datos transversales iniciales sugieren que una subpoblación de personas con VIH (PCV) de edad mayor posee neurocognición (NC) juvenil, característica de los Súper-Ancianos (SA). Aquí nosotros caracterizamos trayectorias longitudinales de NC en PCV mayores y su validez convergente con su status de referencia de SA, según los criterios establecidos en PCV, y factores biopsicosociales en la base de referencia. El modelo de mezclas Gaussianas (GMM) identificó clases longitudinales de NC en 184 PCV mayores (edad ≥ 50-años) con 1­5 años de seguimiento. Las clases fueron definidas utilizando puntuaciones-T (T-scores) globales de "edad pico", que comparan el desempeño con una muestra normativa de personas de 25 años de edad. 3-clases fueron identificadas: Clase 1Élite Estable (n = 31 [16.8%], puntuaciones-T de edad pico de referencia altas con trayectoria plana; Clase 2Promedio Cuadrático (n = 100 [54.3%], puntuaciones-T de edad pico de referencia intermedias con trayectoria en forma de u); Clase 3Cuadrática Baja (n = 53 [28.8%], %], puntuaciones-T de edad pico de referencia bajas con trayectoria en forma de u). Los predictores de referencia de la Clase 1Élite Estable incluyen estatus de SA, edad mas joven, reserva cognitiva y fisiológica superior, y menos dificultades cognitivas subjetivas. Este análisis GMM apoya la validez del constructo de Súper-Envejecimiento en PCV mayores mediante la identificación de un subgrupo longitudinalmente estable, neurocognición juvenil y una robusta salud biopsicosocial.