Associations between media parenting practices and early adolescent screen use.

BACKGROUND: To assess the prevalence of various media parenting practices and identify their associations with early adolescent screen time and problematic social media, video game, and mobile phone use. METHODS: Cross-sectional data from Year 3 of the Adolescent Brain Cognitive Development (ABCD) Study (2019-2022) that included 10,048 adolescents (12-13 years, 48.3% female, 45.6% racial/ethnic minorities) in the US were analyzed using multiple linear regression analyses adjusting for potential confounders. RESULTS: Parent screen use, family mealtime screen use, and bedroom screen use were associated with greater adolescent screen time and problematic social media, video game, and mobile phone use. Parental use of screens to control behavior (e.g., as a reward or punishment) was associated with higher screen time and greater problematic video game use. Parental monitoring of screens was associated with lower screen time and less problematic social media and mobile phone use. Parental limit setting of screens was associated with lower screen time and less problematic social media, video game, and mobile phone use. DISCUSSION: Parent screen use, mealtime screen use, and bedroom screen use were associated with higher adolescent problematic screen use and could be limited in a family media use plan. Parental monitoring and limiting of screen time are associated with less problematic screen use. IMPACT STATEMENT: Although the American Academy of Pediatrics provides guidance for screen use for children 5-18 years, there is a paucity of evidence-based guidance for media parenting practices, specifically for early adolescents. In a diverse sample of 10,048 early adolescents across the US, we found cross-sectional associations between parent, mealtime, and bedroom screen use and higher adolescent problematic screen use. Parental monitoring and limiting of adolescent screen time were cross-sectionally associated with less problematic screen use in our analytic sample and may be incorporated into a family media use plan.

Prospective association of screen time with binge-eating disorder among adolescents in the United States: The mediating role of depression.

OBJECTIVE: Screen time has been reported to be associated with binge-eating disorder (BED) among adolescents in the US; however, potential mediators remain unclear. This study aimed to evaluate depression symptoms as a mediator of the prospective association between screen time and BED. METHOD: We utilized data from 9465 children (aged 9-11 years at baseline) from the Adolescent Brain Cognitive Development (ABCD) study (2016-2021). A generalized structural equation model was used to examine the prospective association between average daily screen time at baseline and BED at year 2, adjusting for baseline BED diagnosis, and other potential covariates (e.g., age, sex, and income). Mediation was examined using bias-corrected (BC) 95% confidence intervals for the indirect effect of baseline screen time on year 2 BED through depression symptoms (change from baseline to year 1). RESULTS: One hundred and one participants (42.7% male, 49.4% racial/ethnic minority) met the criteria for BED in year 2. Participants were 9.9 years of age on average at baseline, 51.3% identified as male, and 43.1% identified as a racial/ethnic minority. Adjusting for covariates, screen time was prospectively associated with BED (OR = 1.09, 95% CI [1.03, 1.14], p = .005). Depression symptoms (B = .19, BC 95% CI [0.10, 0.28]) partially mediated (9.2%) the prospective association between screen time and BED. DISCUSSION: Among US adolescents, higher baseline screen time was prospectively associated with BED diagnosis at year 2, and this relationship was partially mediated by increased depression symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents. PUBLIC SIGNIFICANCE: Among U.S. adolescents, higher screen time was prospectively associated with the incidence of BED. This association was partially mediated by the change in depressive symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents.

Association of body mass index with progression from binge-eating behavior into binge-eating disorder among adolescents in the United States: A prospective analysis of pooled data.

The association between body mass index (BMI) and binge-eating disorder (BED) is well-established. However, data on the extent to which BMI is associated with progression from binge-eating behavior into BED among adolescents are limited, which was the aim of this investigation. Participants were 9964 U.S. adolescents from the Adolescent Brain Cognitive Development (ABCD) Study, aged 9-13 at the time of study enrollment. A computerized parent-reported assessment was used to establish adolescents' binge-eating behaviors and BED. Cox proportional hazards models adjusting for sociodemographic covariates were used to examine prospective associations between BMI and likelihood of BED onset among a) adolescents with binge-eating behavior, and b) adolescents with no binge-eating behavior. Of 975 adolescents who met the study criteria for binge-eating behavior, 89 (9.1%) subsequently met the study criteria for BED. Of 8989 adolescents with no binge-eating behavior, 82 (0.9%) subsequently met the study criteria for BED. BMI percentile was significantly associated with the likelihood of BED onset in participants with (adjusted HR = 1.03, 95% confidence interval [CI] 1.00, 1.06) and participants without (adjusted HR = 1.05, 95% CI 1.03, 1.07) binge-eating behavior. Results were also significant when examining BMI as a dichotomous predictor (above and below 85th percentile) among those with (adjusted HR = 2.60, 95% CI 1.00, 6.68) and those without (adjusted HR = 6.01, 95% CI 3.90, 11.10) binge-eating behavior. Overall, results indicate that elevated BMI is prospectively associated with a greater risk for BED onset among U.S. adolescents with or without binge-eating behavior. Adolescents with a higher BMI may benefit from screening for binge eating, and prevention/early intervention strategies to mitigate the risk for developing BED.

The Association Between Adverse Childhood Experiences (ACEs), Bullying Victimization, and Internalizing and Externalizing Problems Among Early Adolescents: Examining Cumulative and Interactive Associations.

Both adverse childhood experiences (ACEs) and bullying victimization are linked with mental health problems in adolescents. However, little is known about the overlap between the two factors and how this impacts adolescent mental health problems (i.e., internalizing and externalizing problems). The current study analyzed data from 8,085 participants (47.7% female; 44.1% racial/ethnic minority) in the Adolescent Brain Cognitive Development (ABCD) study, baseline (2016-2018, ages 9-10 years) to Year 2. Regression analyses were used to estimate associations between ACEs, bullying victimization and mental health problems, respectively, adjusting for sex, race/ethnicity, country of birth, household income, parental education, and study site. The findings showed that both ACEs and bullying victimization were independently associated with higher internalizing and higher externalizing problems. However, no significant interaction was found between ACEs and bullying victimization. Overall, the results align with the cumulative risk model of adversity, linking cumulative ACEs and bullying victimization to internalizing and externalizing problems in early adolescents.

Social epidemiology of the Mediterranean-dietary approaches to stop hypertension intervention for neurodegenerative delay (MIND) diet among early adolescents: the Adolescent Brain Cognitive Development Study.

BACKGROUND: The purpose of our study was to understand the relationship between sociodemographic factors and adherence to the MIND (Mediterranean-DASH [Dietary Approaches to Stop Hypertension] Intervention for Neurodegenerative Delay) diet in a demographically diverse national population-based sample of 9-12-year-olds in the US. METHODS: We analyzed data from the Adolescent Brain and Cognitive Development (ABCD) Study (Year 1, N = 8333). Multivariable linear regression analysis was used to identify associations between MIND diet score and sociodemographic factors, including race/ethnicity, household income, parent education level, age, sex, and sexual minority status. RESULTS: Compared to White adolescents, Latino adolescents showed the greatest adherence to the MIND diet. Boys had lower adherence to the MIND diet than girls. Lower household income was associated with lower adherence to the MIND diet. Older age was associated with lower adherence to the MIND diet. Sexual minorities had a lower adherence to the MIND diet when compared to their heterosexual counterparts. DISCUSSION: Female sex, Latino ethnicity, Asian and Black race, high household income, heterosexual sexual orientation, and younger age were associated with higher adherence to the MIND diet. These sociodemographic differences can inform targeted screening and counseling for clinicians and public health organizations among diverse adolescent populations. IMPACT STATEMENT: Sociodemographic disparities in diet quality have been documented, but none have explored adherence to the MIND (Mediterranean-DASH [Dietary Approaches to Stop Hypertension] Intervention for Neurodegenerative Delay) diet in early adolescence. In this demographically diverse sample of 9-12-year-old early adolescents in the U.S., we found notable and nuanced sociodemographic disparities in adherence to the MIND diet. Sociodemographic factors associated with higher adherence to the MIND diet included female sex, Latino ethnicity, high household income, heterosexual sexual orientation, and younger age.

Characterization of trajectories of physical activity and cigarette smoking from early adolescence to adulthood.

BACKGROUND: Cigarette smoking and physical inactivity are two critical risk factors for noncommunicable diseases and all-cause mortality. However, few studies have compared the long-term trajectories of both behaviors, as well as multilevel factors associated with trajectory patterns. Using the National Longitudinal Study of Adolescent to Adult Health (Add Health) Wave I through V survey data, this study characterized distinct subgroups of the population sharing similar behavioral patterns from adolescence to adulthood, as well as predictors of subgroup membership for physical activity (PA) and cigarette smoking behavior respectively. METHODS: Using the Add Health Wave I through V survey data, we identified the optimal number of latent classes and class-specific trajectories of PA and cigarette smoking from early adolescence to adulthood, fitting latent growth mixture models with standardized PA score and past 30-day cigarette smoking intensity as outcome measures and age as a continuous time variable. Associations of baseline sociodemographic factors, neighborhood characteristics, and sociopsychological factors with trajectory class membership were assessed using multinomial logistic regression. RESULTS: We identified three distinct subgroups of non-linear PA trajectories in the study population: moderately active group (N = 1067, 5%), persistently inactive group (N = 14,257, 69%) and worsening activity group (N = 5410, 26%). Foror cigarette smoking, we identified three distinct non-linear trajectory subgroups: persistent non-smoker (N = 14,939, 72%), gradual quitter (N = 2357, 11%), and progressing smoker (N = 3393, 16%). Sex, race/ethnicity, neighborhood environment and perceived peer support during adolescence were significant predictors of both physical activity and cigarette smoking trajectory subgroup membership from early adolescence to adulthood. CONCLUSIONS: There are three distinct subgroups of individuals sharing similar PA and cigarette smoking behavioral profile respectively from adolescence to adulthood in the Add Health study population. Behavioral interventions that focus on neighborhood environment (e.g. establish community-based activity center) and relationship to peers during adolescence (e.g. peer counseling) could be key to long-term PA promotion and cigarette smoking cessation.

Risk Factors for Stroke in Patients With Sepsis and Bloodstream Infections.

Background and Purpose- Sepsis has been identified as a trigger for stroke, but the underlying mechanisms and risk factors that predispose patients with sepsis to increased stroke risk remain unclear. We sought to identify predictors of stroke after sepsis and bloodstream infections. Methods- The 2007-2009 California State Inpatient Database from the Health Care Utilization Project was used to identify patients over the age of 18 years and hospitalized with sepsis or bloodstream infection defined by International Classification of Diseases, Ninth Revision codes. Patients who died during their sepsis hospitalization were excluded. The primary outcome was a primary diagnosis of ischemic or hemorrhagic stroke on a subsequent hospitalization within 1 year. Associations between risk factors, also defined by International Classification of Diseases, Ninth Revision codes, and stroke were analyzed using multivariable logistic regression. A composite risk score was generated to predict stroke risk. Results- Of 121 947 patients with sepsis, 0.5% (n=613) had a primary diagnosis of stroke within a year of their sepsis hospitalization. Significant predictors for stroke were identified. A score was generated from these risk factors with points assigned based on regression coefficients: valvular heart diseases (1 point), congestive heart failure (1), renal failure (1), lymphoma (2), peripheral vascular diseases (2), pulmonary circulation disorders (2), and coagulopathy (3). The C statistic for the receiver operating characteristic curve for the score was 0.68. The risk of stroke increased 43% (odds ratio, 1.43; 95% CI, 1.37-1.48) per-point increase in the score. The effect of increase in score was greater among younger patients. Conclusions- Risk factors and a composite risk score for stroke may help identify a subpopulation of sepsis patients that could be targeted to reduce the short-term risk of stroke after serious infections.

Association of Atrial Fibrillation With White Matter Disease.

Background and Purpose- Evidence suggests that atrial fibrillation (AF) is associated with increased risk of cognitive decline and dementia, even in the absence of stroke. White matter disease (WMD) is a potential mechanism linking AF to cognitive impairment. In this study, we explored the association between prevalent AF and WMD. Methods- We performed a cross-sectional analysis of participants attending the ARIC-NCS (Atherosclerosis Risk in Communities-Neurocognitive Study) in 2011 to 2013 who underwent brain magnetic resonance imaging. AF was ascertained from study visit electrocardiograms or prior hospitalization codes. Extent of WMD was defined by measures of white matter (WM) microstructural integrity and WM hyperintensity volume. Multivariable linear regression models were used to assess the association between AF and WMD. Results- Among 1899 participants (mean age, 76 years; 28% black; 60% women), 133 (7%) had prevalent AF. After multivariable adjustment, differences between participants with and without AF were -0.001 (95% CI, -0.006 to 0.004) for global WM fractional anisotropy, 0.031×10-4 mm2/s (95% CI, -0.075 to 0.137) for global WM mean diffusivity, and 0.08 mm3 (95% CI, -0.14 to 0.30) for WM hyperintensity volume. Conclusions- The results suggest that there is no association between prevalent AF and WMD.

Sociodemographic Associations With Blood Pressure in 10-14-Year-Old Adolescents.

PURPOSE: To determine the association between sociodemographic characteristics and blood pressure among a demographically diverse population-based sample of 10-14-year-old US adolescents. METHODS: We conducted cross-sectional analyses of data from the Adolescent Brain Cognitive Development Study (N = 4,466), year two (2018-2020). Logistic and linear regression models were used to determine the association between sociodemographic characteristics (sex, race/ethnicity, sexual orientation, household income, and parental education) with blood pressure among early adolescents. RESULTS: The sample was 49.3% female and 46.7% non-White. Overall, 4.1% had blood pressures in the hypertensive range. Male sex was associated with 48% higher odds of hypertensive-range blood pressures than female sex (95% confidence interval [CI], 1.02; 2.14), and Black race was associated with 85% higher odds of hypertensive-range blood pressures compared to White race (95% CI, 1.11; 3.08). Several annual household income categories less than $100,000 were associated with higher odds of hypertensive-range blood pressures compared to an annual household income greater than $200,000. We found effect modification by household income for Black adolescents; Black race (compared to White race) was more strongly associated with higher odds of hypertensive-range blood pressures in households with income greater than $75,000 (odds ratio 3.92; 95% CI, 1.95; 7.88) compared to those with income less than $75,000 (odds ratio 1.53; 95% CI, 0.80; 2.92). DISCUSSION: Sociodemographic characteristics are differentially associated with higher blood pressure in early adolescents. Future research could examine potential mediating factors (e.g., physical activity, nutrition, tobacco) linking sociodemographic characteristics and blood pressure to inform targeted interventions.

Associations of Contemporary Screen Time Modalities With Early Adolescent Nutrition.

OBJECTIVE: To determine the associations between screen time across several contemporary screen modalities (eg, television, video games, text, video chat, social media) and adherence to the Mediterranean-DASH (dietary approaches to stop hypertension) intervention for neurodegenerative delay (MIND) diet in early adolescents. METHODS: We analyzed data from the Adolescent Brain Cognitive Development study of 9 to 12-year-old adolescents in the United States. Multiple linear regression analyses examined the relationship between self-reported screen time measures at baseline (year 0) and the 1-year follow-up (year 1) and caregiver-reported nutrition assessments at year 1, providing a prospective and cross-sectional analysis. Cross-sectional marginal predicted probabilities were calculated. RESULTS: In a sample of 8267 adolescents (49.0% female, 56.9% white), mean age 10 years, total screen time increased from 3.80 h/d at year 0 to 4.61 h/d at year 1. Change in total screen time from year 0 and year 1 was associated with lower nutrition scores at year 1. PROSPECTIVE: Screen time spent on television, video games, and videos at year 0 was associated with lower nutrition scores at year 1. Cross-sectional: Screen time spent on television, video games, videos, texting, and social media at year 1 was associated with lower MIND diet scores at year 1. CONCLUSIONS: Both traditional (television) and several contemporary modalities of screen time are associated, prospectively and cross-sectionally, with lower overall diet quality, measured by the MIND diet nutrition score, in early adolescents. Future studies should further explore the effect of rising digital platforms and media on overall adolescent nutrition.

Social epidemiology of online dating in U.S. early adolescents.

OBJECTIVE: To investigate the prevalence and sociodemographic associations of online dating in a demographically diverse U.S. national cohort of early adolescents. METHODS: We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018-2020, ages 11-12; N = 10,157). Multivariable logistic regression analyses were employed to estimate associations between sociodemographic factors (e.g., age, sex, race/ethnicity, sexual orientation, household income, parental education) and early adolescent-reported online dating behaviors. RESULTS: Overall, 0.4% (n = 38) of participants reported ever using a dating app. Males (AOR 2.72, 95% CI 1.11-6.78) had higher odds of online dating compared to females, and sexual minority identification (e.g., lesbian, gay, or bisexual; AOR 12.97, 95% CI 4.32-38.96) was associated with greater odds of online dating compared to heterosexual identification. CONCLUSION: Given the occurrence of online dating among early adolescents despite age restrictions, interventions might address age misrepresentation. Adolescent sexual health education may consider incorporating anticipatory guidance on online dating, especially for males and sexual minorities. Future research could further investigate online dating patterns from early to late adolescence and associated health effects.

Identification and characterization of screen use trajectories from late childhood to adolescence in a US-population based cohort study.

Screen use is a known risk factor for adverse physical and mental health outcomes during childhood and adolescence. Moreover, racial/ethnic disparity in screen use persists among adolescents. However, limited studies have characterized the population sharing similar longitudinal patterns of screen use from childhood to adolescence. This study will identify and characterize the subgroups of adolescents sharing similar trajectories of screen use from childhood to adolescence. Study participants of the Adolescent Brain Cognitive Development Study (2016-2021) in the U.S with non-missing responses on self-reported screen use at each year of the study were included in the analysis. Growth mixture modeling was used to identify the optimal number of subgroups of adolescents with similar trajectories. Subsequently, socio-demographic characteristics, familial background, and perceived racism and discrimination during childhood was assessed for each subgroup population. Perceived discrimination was measured using the Perceived Discrimination Scale. There were two major subgroups of individuals sharing similar trajectories of screen use: Drastically Increasing group (N = 1333); Gradually Increasing group (N = 10336). Higher proportions of the Drastically Increasing group were racial/ethnic minorities (70%) as compared to the Gradually Increasing group (45%). Moreover, the Drastically Increasing group had higher proportions of individuals reporting perceived racism and discrimination during childhood.

Association of cyberbullying victimization and substance initiation: The Adolescent Brain Cognitive Development (ABCD) study.

BACKGROUND: Evidence shows that cyberbullying is an important risk factor for various adverse mental health outcomes, such as substance use. However, there is limited evidence from longitudinal studies that assessed whether cyberbullying victimization is associated with substance use initiation, especially among adolescent population. METHODS: Using data from the Adolescent Brain Cognitive Development Study, we assessed the association between cyberbullying victimization and substance use initiation among adolescents. In the cross-sectional analysis at year 2, multivariable logistic regressions were used to assess the association between cyberbullying victimization history and substance use initiation. Additionally, the association between year 2 cyberbullying victimization in the past 12 months/lifetime and year 3 substance use initiation was assessed using multivariable logistic regression. RESULTS: Adjusting for sociodemographic characteristics and the presence of depression/anxiety symptoms, lifetime history of cyberbullying victimization was significantly associated with substance use initiation (OR= 2.17, 95% CI: 1.68, 2.81). Recent cyberbullying victimization in the past 12 months was associated with two-times higher odds of initiating substances (OR= 2.31, 95% CI: 1.71, 3.12). In addition, both lifetime history of cyberbullying victimization and recent cyberbullying victimization at year 2 were associated with two times increased risk in substance use initiation at year 3 (OR = 2.22, 95% CI: 1.68, 2.93; OR = 2.34, 95% CI: 1.68, 3.26). CONCLUSION: There is a significant relationship between cyberbullying victimization and substance use initiation among adolescents. Cyberbullying victims are at an increased risk of initiating substance use later in life.

Association of Type of Antidepressant Initiation with Bleeding Risk in Atrial Fibrillation Patients Taking Oral Anticoagulants.

BACKGROUND: Inconsistent evidence suggests that use of certain antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs), in patients using oral anticoagulants (OACs) might be associated with an elevated risk of bleeding. OBJECTIVE: This study aims to investigate the risk of bleeding associated with initiation of different types of antidepressants among atrial fibrillation (AF) patients on OAC therapy. PATIENTS AND METHODS: A total of 30,336 AF patients (mean age 72.2 years; 54% female) on OAC therapy that started antidepressant treatment were identified from the Truven Health Analytics MarketScan Commercial and Medicare Databases for the period 2007-2015. Exposure was defined as filling a prescription for antidepressant, and categorized as SSRI, serotonin/norepinephrine reuptake inhibitors (SNRIs), serotonin reuptake inhibitors (SRIs), tricyclic antidepressants (TCAs), or other antidepressants. The primary outcome was incident hospitalized bleeding. Associations of antidepressant type with bleeding were assessed calculating hazard ratios (HRs) and 95% confidence intervals (CIs) with adjusted Cox models in pairwise propensity score-matched cohorts. RESULTS: During a mean follow-up of 21 months, we identified 1612 bleeding episodes. In pairwise comparisons, SSRI use was associated with an increased risk of bleeding when compared to most other antidepressants (HR 1.22, 95% CI 0.96-1.54 vs SNRI; HR 1.10, 95% CI 0.90-1.35 vs SRI; HR 1.03, 95% CI 0.82-1.30 vs TCA). SNRI use was associated with the lowest bleeding risk. Results did not differ by OAC type, age, and sex. CONCLUSIONS: Among AF patients on OAC initiating antidepressants, risk of bleeding varied across antidepressant type. This information can inform treatment choices among patients receiving OAC.

Atrial Fibrillation, Brain Volumes, and Subclinical Cerebrovascular Disease (from the Atherosclerosis Risk in Communities Neurocognitive Study [ARIC-NCS]).

The aim of the present study was to investigate the association between atrial fibrillation (AF) and total and regional brain volumes among participants in the community-based Atherosclerosis Risk in Communities Neurocognitive study (ARIC-NCS). A total of 1,930 participants (130 with AF) with a mean age of 76.3 ± 5.2, who underwent 3T brain MRI scans in 2011 to 2013 were included. Prevalent AF was ascertained from study ECGs and hospital discharge codes. Brain volumes were measured using FreeSurfer image analysis software. Markers of subclinical cerebrovascular disease included lobar microhemorrhages, subcortical microhemorrhages, cortical infarcts, subcortical infarcts, lacunar infarcts, and volume of white matter hyperintensities. Linear regression models were used to assess the associations between AF status and brain volumes. In adjusted analyses, AF was not associated with markers of subclinical cerebrovascular disease. However, AF was associated with smaller regional brain volumes (including temporal, occipital, and parietal lobes; deep gray matter; Alzheimer disease signature region; and hippocampus [all p <0.05]) after controlling for demographics, cardiovascular risk factors, prevalent cardiovascular disease, and markers of subclinical cerebrovascular disease. Subgroup analysis revealed a significant interaction between AF and total brain volume with respect to age (p = 0.02), with associations between AF and smaller brain volumes being stronger for older individuals. In conclusion, AF was associated with smaller brain volumes, and the association was stronger among older individuals. This finding may be related to the longer exposure period of the older population to AF or the possibility that older people are more susceptible to the effects of AF on brain volume.

HIV Infection and Incidence of Cardiovascular Diseases: An Analysis of a Large Healthcare Database.

Background People living with HIV ( PLWH ) experience higher risk of myocardial infarction ( MI ) and heart failure ( HF ) compared with uninfected individuals. Risk of other cardiovascular diseases ( CVD s) in PLWH has received less attention. Methods and Results We studied 19 798 PLWH and 59 302 age- and sex-matched uninfected individuals identified from the MarketScan Commercial and Medicare databases in the period 2009 to 2015. Incidence of CVD s, including MI , HF , atrial fibrillation, peripheral artery disease, stroke and any CVD -related hospitalization, were identified using validated algorithms. We used adjusted Cox models to estimate hazard ratios and 95% CI s of CVD end points and performed probabilistic bias analysis to control for unmeasured confounding by race. After a mean follow-up of 20 months, patients experienced 154 MI s, 223 HF , 93 stroke, 397 atrial fibrillation, 98 peripheral artery disease, and 935 CVD hospitalizations (rates per 1000 person-years: 1.2, 1.7, 0.7, 3.0, 0.8, and 7.1, respectively). Hazard ratios (95% CI ) comparing PLWH with uninfected controls were 1.3 (0.9-1.9) for MI , 3.2 (2.4-4.2) for HF , 2.7 (1.7-4.0) for stroke, 1.2 (1.0-1.5) for atrial fibrillation, 1.1 (0.7-1.7) for peripheral artery disease, and 1.7 (1.5-2.0) for any CVD hospitalization. Adjustment for unmeasured confounding led to similar associations (1.2 [0.8-1.8] for MI , 2.8 [2.0-3.8] for HF , 2.3 [1.5-3.6] for stroke, 1.3 [1.0-1.7] for atrial fibrillation, 0.9 [0.5-1.4] for peripheral artery disease, and 1.6 [1.3-1.9] for CVD hospitalization). Conclusions In a large health insurance database, PLWH have an elevated risk of CVD , particularly HF and stroke. With the aging of the HIV population, developing interventions for cardiovascular health promotion and CVD prevention is imperative.