Impact of Vietnam-era G.I. Bill eligibility on later-life blood pressure distribution: evidence from the Vietnam draft lottery natural experiment.

We quantified the impact of Vietnam-era G.I Bill eligibility, which subsidized college education for eligible Veterans, on the later-life blood pressure distribution by exploiting the Vietnam draft lottery natural experiment. We restricted Health and Retirement Study data (2006-2018) to men born between 1947-1953 (N=1,970). We estimated intention-to-treat effects at the mean and 1st-99th quantiles of blood pressure using linear and quantile regressions. Our outcomes were systolic blood pressure (SBP), diastolic blood pressure (DBP), hypertension, and self-reported stroke. We proxied G.I. Bill eligibility using lottery-defined draft eligibility. We also conducted analyses stratified by childhood socioeconomic status (cSES) defined based on a previously validated measure. Draft eligibility reduced mean blood pressure outcomes (e.g., effect on SBP: -1.33 [95% confidence interval (CI) -2.85, 0.19]). Draft eligibility also had larger protective effects at higher quantiles of the SBP and DBP distributions relative to lower quantiles (effects on SBP at the 10th and 90th quantiles: -0.33mmHg [95% CI -2.35,1.68]; -3.00mmHg [95% CI -5.68,-0.32]). Draft eligibility had protective effects on blood pressure among low and medium cSES men but opposite effects among high cSES men. G.I. Bill eligibility reshaped the blood pressure distribution to one of lower morbidity risk, particularly among low and medium cSES men.

Acceptability of heart rate-based remote monitoring of smoking status.

Introduction: Digital interventions present a scalable solution to overcome barriers to smoking cessation treatment, and changes in resting heart rate (HR) may offer a viable option for monitoring smoking status remotely. The goal of this study was to explore the acceptability of using smartphone cameras and activity trackers to measure heart rate for use in a smoking cessation intervention. Methods: Participants (N=410), most of whom identified as female (75.8 %) with mean age 38.3 years (SD 11.4), were recruited via the Smoke Free app. They rated the perceived comfort, convenience, and likelihood of using smartphone cameras and wrist-worn devices for HR monitoring as an objective measure of smoking abstinence. Wilcoxon signed-rank tests and Kruskal-Wallis tests assessed differences in acceptability across device types and whether the participant owned an activity tracker/smartwatch or smartphone. Results: Participants reported high levels of acceptability for both HR monitoring methods, with activity trackers/smartwatches rated more favorably in terms of comfort, convenience, and likelihood of use compared to smartphone cameras. Participants indicated a statistically significantly greater likelihood of using the activity tracker/smartwatch over the smartphone camera. Participants viewed the activity tracker/smartwatch as more acceptable than the smartphone camera (87.0% vs 50.0%). Conclusions: HR monitoring via smartphone cameras and wrist-worn devices was deemed acceptable among people interested in quitting smoking. Wrist-worn devices, in particular, were preferred, suggesting their potential as a scalable, user-friendly method for remotely monitoring smoking status. These findings support the need for further exploration and implementation of HR monitoring technology in smoking cessation research and interventions.

Advances in Difference-in-differences Methods for Policy Evaluation Research.

Difference-in-differences (DiD) is a powerful, quasi-experimental research design widely used in longitudinal policy evaluations with health outcomes. However, DiD designs face several challenges to ensuring reliable causal inference, such as when policy settings are more complex. Recent economics literature has revealed that DiD estimators may exhibit bias when heterogeneous treatment effects, a common consequence of staggered policy implementation, are present. To deepen our understanding of these advancements in epidemiology, in this methodologic primer, we start by presenting an overview of DiD methods. We then summarize fundamental problems associated with DiD designs with heterogeneous treatment effects and provide guidance on recently proposed heterogeneity-robust DiD estimators, which are increasingly being implemented by epidemiologists. We also extend the discussion to violations of the parallel trends assumption, which has received less attention. Last, we present results from a simulation study that compares the performance of several DiD estimators under different scenarios to enhance understanding and application of these methods.

Mediating pathways between neighborhood disadvantage and cardiovascular risk: Quasi-experimental evidence from a Danish refugee dispersal policy.

Research has documented that neighborhood disadvantage is associated with increased cardiovascular disease risk, but it is unclear which mechanistic pathways mediate this association across the life course. Leveraging a natural experiment in which refugees to Denmark were quasi-randomly assigned to neighborhoods across the country during 1986-1998 and using 30 years of follow-up data from population and health registers, we assessed whether and how individual-level poverty, unstable employment, and poor mental health mediate the relation between neighborhood disadvantage and the risk of hypertension, hyperlipidemia, and type 2 diabetes among Danish refugees (N= 40,811). Linear probability models using the discrete time-survival framework showed that neighborhood disadvantage was associated with increased risk of hypertension (0.05 percentage points [pp] per year [95%CI -0.00, 0.10]); hyperlipidemia (0.03 pp per year [95%CI -0.01, 0.07]), and diabetes (0.01 pp per year (95%CI -0.02, 0.03)). The Baron-Kenny product-of-coefficients method for counterfactual mediation analysis indicated that cumulative income mediated 6%-28% of the disadvantage effect on these outcomes. We find limited evidence of mediation by unstable employment and poor mental health. This study informs our theoretical understanding of the pathways linking neighborhood disadvantage with cardiovascular disease risk and identifies income security as a promising point of intervention in future research.

Individual and regional differences in the effects of school racial segregation on Black students' health.

Background: School racial segregation in the US has risen steadily since the 1990s, propelled by Supreme Court decisions rolling back the legacy of Brown v. Board. Quasi-experimental research has shown this resegregation harms Black students' health. However, whether individual or family characteristics (e.g., higher family incomes) are protective against segregation's health harms-or whether segregation is more damaging in regions of the US with fewer public sector investments-remains unclear. We leverage the quasi-random timing of school districts being released from Brown-era integration plans to examine heterogeneity in the association between resegregation and Black students' health. Methods & findings: We took an instrumental variables approach, using the timing of integration order releases as an instrument for school segregation and analyzing a pre-specified list of theoretically-motivated modifiers in the Panel Study of Income Dynamics. In sensitivity analyses, we fit OLS models that directly adjusted for relevant covariates. Results suggest resegregation may have been particularly harmful in the South, where districts resegregated more quickly after order releases. We find little evidence that the effects of school segregation differed across family income, gender, or age. Conclusion: The end of court-ordered integration threatens the health of Black communities-especially in the US South. Modestly higher incomes do not appear protective against school segregation's harms. Research using larger samples and alternative measures of school segregation-e.g., between districts, instead of within districts-may further our understanding of segregation's health effects, especially in Northern states.

The end of court-ordered desegregation and U.S. children's health: Quasi-experimental evidence.

School racial segregation significantly impacts racial disparities in U.S. children's health. Recently, school segregation has been increasing, partially due to Supreme Court decisions since 1991 that have made it easier for school districts to be released from court-ordered desegregation. We investigated the association of the end of court-ordered desegregation with child health using the 1997-2018 waves of the National Health Interview Survey (N=8,182 Black, 16,930 White children). We exploited quasi-random variation in the timing of school districts' releases from court orders to estimate effects on general health, body weight, mental health, and asthma, using difference-in-differences and event-study methods (including traditional and heterogeneity-robust estimators). Heterogeneity-robust difference-in-differences analyses show that release was associated with increased school segregation, improved mental health among Black children, and better self-reported health among White children. For heterogeneity-robust event-study analyses, school segregation increased steadily over time after release, with worse self-reported health and higher risk of asthma episodes among Black children 18+ years after release. Black children's mental health temporarily improved in the short term. In contrast, White children had improved self-reported health, mental health, and risk of asthma episodes in some years. Interventions to address the harms of school segregation are important for reducing racial health inequities.

Medicaid Expansion and Perinatal Health Outcomes: A Quasi-Experimental Study.

OBJECTIVE: There has been little evidence of the impact of preventive services during pregnancy covered under the Affordable Care Act (ACA) on birthing parent and infant outcomes. To address this gap, this study examines the association between Medicaid expansion under the ACA and birthing parent and infant outcomes of low-income pregnant people. METHODS: This study used individual-level data from the 2004-2017 annual waves of the Pregnancy Risk Assessment Monitoring System (PRAMS). PRAMS is a surveillance project of the Centers for Disease Control and Prevention and health departments that annually includes a representative sample of 1,300 to 3,400 births per state, selected from birth certificates. Birthing parents' outcomes of interest included timing of prenatal care, gestational diabetes, hypertensive disorders of pregnancy, cigarette smoking during pregnancy, and postpartum care. Infant outcomes included initiation and duration of breastfeeding, preterm birth, and birth weight. The association between ACA Medicaid expansion and the birthing parent and infant outcomes were examined using difference-in-differences estimation. RESULTS: There was no association between Medicaid expansion and the outcomes examined after correcting for multiple testing. This finding was robust to several sensitivity analyses. CONCLUSIONS FOR PRACTICE: Study findings suggest that expanded access to more complete insurance benefits with limited cost-sharing for pregnant people, a group that already had high rates of insurance coverage, did not impact the birthing parents' and infant health outcomes examined.

Evaluation of Changes in Prices and Purchases Following Implementation of Sugar-Sweetened Beverage Taxes Across the US.

Importance: Sugar-sweetened beverage (SSB) taxes are promoted as key policies to reduce cardiometabolic diseases and other conditions, but comprehensive analyses of SSB taxes in the US have been difficult because of the absence of sufficiently large data samples and methods limitations. Objective: To estimate changes in SSB prices and purchases following SSB taxes in 5 large US cities. Design, Setting, and Participants: In this cross-sectional study with an augmented synthetic control analysis, changes in prices and purchases of SSBs were estimated following SSB tax implementation in Boulder, Colorado; Philadelphia, Pennsylvania; Oakland, California; Seattle, Washington; and San Francisco, California. Changes in SSB prices (in US dollars) and purchases (volume in ounces) in these cities in the 2 years following tax implementation were estimated and compared with control groups constructed from other cities. Changes in adjacent, untaxed areas were assessed to detect any increase in cross-border purchases. Data used for this analysis spanned from January 1, 2012, to February 29, 2020, and were analyzed between June 1, 2022, and September 29, 2023. Main Outcomes and Measures: The main outcomes were the changes in SSB prices and volume purchased. Results: Using nutritional information, 5500 unique universal product codes were classified as SSBs, according to tax designations. The sample included 26 338 stores-496 located in treated localities, 1340 in bordering localities, and 24 502 in the donor pool. Prices of SSBs increased by an average of 33.1% (95% CI, 14.0% to 52.2%; P < .001) during the 2 years following tax implementation, corresponding to an average price increase of 1.3¢ per oz and a 92% tax pass-through rate from distributors to consumers. SSB purchases declined in total volume by an average of 33.0% (95% CI, -2.2% to -63.8%; P = .04) following tax implementation, corresponding to a -1.00 price elasticity of demand. The observed price increase and corresponding volume decrease immediately followed tax implementation, and both outcomes were sustained in the months thereafter. No evidence of increased cross-border purchases following tax implementation was found. Conclusions and Relevance: In this cross-sectional study, SSB taxes led to substantial, consistent declines in SSB purchases across 5 taxed cities following price increases associated with those taxes. Scaling SSB taxes nationally could yield substantial public health benefits.

Adolescent Total and Mental Health-Related Emergency Department Visits During the COVID-19 Pandemic.

Importance: Previous research has assessed changes in pediatric and adolescent health care utilization during the COVID-19 pandemic; however, less is known regarding how the pandemic affected adolescents' use of emergency care, specifically for mental health (MH). Objective: To determine how adolescents (ages 12-17 years), compared with other age groups, sought help in emergency departments (EDs) in general and for MH conditions during the COVID-19 pandemic. Design and Setting: In this cross-sectional study, National Syndromic Surveillance Program data and the Centers for Disease Control and Prevention Mental Health, version 1, query were used to track patterns in weekly adolescent ED visits by region across the 10 US Department of Health and Human Services regions from January 2019 through December 2021. Data analysis was performed in April and May 2023. Main Outcomes and Measures: Total ED visits, MH-related ED visits, and the proportion of total ED visits that were MH related by week-region. Results: Both weekly regional ED visits and MH-related ED visits dropped after the onset of the pandemic. Because total ED visits dropped more than MH-related ED visits, the proportion of MH-related ED visits increased for the adolescent group. Total ED visits only returned to prepandemic weekly levels (2019: mean [range], 7358 [715-25 908] visits) in the middle of 2021 (overall in 2021: mean [range], 6210 [623-25 777] visits). Mental health-related visits also dropped in 2020 but rebounded to prepandemic weekly levels (2019: mean [range], 634 [56-1703] visits) by the end of 2020 (mean [range], 533 [39-1800] visits). Conclusions and Relevance: This cross-sectional study suggests that families' perceptions of the need for emergent MH care were reduced during the pandemic by less than their perception of the need for emergency care overall. Emergency departments should be equipped to provide critical care specifically for adolescents facing MH emergencies.

Testing mediating pathways between school segregation and health: Evidence on peer prejudice and health behaviors.

School racial segregation is increasingly recognized as a threat to US public health: rising segregation in recent decades has been linked to a range of poor health outcomes for Black Americans. Key theorized mediators of these harms remain underexamined, including experiences of interpersonal and institutional racism driving increased stress, and peers' health behaviors influencing students' own. Using cross-sectional survey data on a national sample of adolescents, we investigated associations between school segregation and these two potential mediating pathways, operationalized as adolescents' perceptions of prejudice from fellow students and the health behaviors of their peers (drinking and smoking). We further investigated whether associations were modified by individual race/ethnicity and school racial composition. Pooling across all schools and students, higher levels of school segregation were associated with decreased perceptions of peer prejudice (OR 0.54, 95% CI = 0.34-0.86), but not with peers' health behaviors. However, this masked important differences by respondents' race/ethnicity and school racial/ethnic composition. In predominantly White schools, school segregation was not associated with Black students' perceptions of peers' prejudice, but higher levels of segregation were associated with increased rates of peers' drinking and smoking. In predominantly non-White schools, in contrast-where most Black students are educated-higher levels of school segregation were not associated with perceived peer prejudice nor unhealthier peer behaviors for Black students (in fact, peers' health behaviors improved). And across both school types, higher levels of district segregation were associated with lower odds of reporting peer prejudice among non-Black students of color. Our findings suggest that the paths between school segregation and poor health depend on the type of school children attend in segregated districts. In schools predominantly serving students of color, structural factors upheld by school segregation-i.e., material, educational, disciplinary, or economic disadvantage-likely dominate over peer behaviors as the primary drivers of segregation's health harms.

Developing a Game (Inner Dragon) Within a Leading Smartphone App for Smoking Cessation: Design and Feasibility Evaluation Study.

BACKGROUND: Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. So far, the uptake of these games has been modest, and the evidence base for their efficacy in promoting smoking cessation is still evolving. The feasibility of integrating a game into a popular smoking cessation app is unclear. OBJECTIVE: The aim of this paper was to describe the design and iterative development of the Inner Dragon game within Smoke Free, a smartphone app with proven efficacy, and the results of a single-arm feasibility trial as part of a broad program that seeks to assess the effectiveness of the gamified app for smoking cessation. METHODS: In phase 1, the study team undertook a multistep process to design and develop the game, including web-based focus group discussions with end users (n=15). In phase 2, a single-arm study of Smoke Free users who were trying to quit (n=30) was conducted to assess the feasibility and acceptability of the integrated game and to establish the feasibility of the planned procedures for a randomized pilot trial. RESULTS: Phase 1 led to the final design of Inner Dragon, informed by principles from psychology and behavioral economics and incorporating several game mechanics designed to increase user engagement and retention. Inner Dragon users maintain an evolving pet dragon that serves as a virtual avatar for the users' progress in quitting. The phase-2 study established the feasibility of the study methods. The mean number of app sessions completed per user was 13.8 (SD 13.1; median 8; range 1-46), with a mean duration per session of 5.8 (median 1.1; range 0-81.1) minutes. Overall, three-fourths (18/24, 75%) of the participants entered the Inner Dragon game at least once and had a mean of 2.4 (SD 2.4) sessions of game use. The use of Inner Dragon was positively associated with the total number of app sessions (correlation 0.57). The mean satisfaction score of participants who provided ratings (11/24, 46%) was 4.2 (SD 0.6) on a 5-point scale; however, satisfaction ratings for Inner Dragon were only completed by 13% (3/24) of the participants. CONCLUSIONS: Findings supported further development and evaluation of Inner Dragon as a beneficial feature of Smoke Free. The next step of this study is to conduct a randomized pilot trial to determine whether the gamified version of the app increases user engagement over a standard version of the app.

Patterns of US Mental Health-Related Emergency Department Visits During the COVID-19 Pandemic.

Importance: Numerous studies have shown that the prevalence of mental health (MH) conditions worsened during the COVID-19 pandemic. Further research is needed on this phenomenon over a longer time horizon that considers the increasing trend in MH conditions before the pandemic, after the pandemic onset, and after vaccine availability in 2021. Objective: To track how patients sought help in emergency departments (EDs) for non-MH and MH conditions during the pandemic. Design, Setting, and Participants: This cross-sectional study used administrative data on weekly ED visits and a subset of visits for MH from the National Syndromic Surveillance Program from January 1, 2019, to December 31, 2021. Data were reported from the 10 US Department of Health and Human Services (HHS) regions (Boston, New York, Philadelphia, Atlanta, Chicago, Dallas, Kansas City, Denver, San Francisco, and Seattle) for five 11-week periods. Data analysis was performed in April 2023. Main Outcomes and Measures: Weekly trends in total ED visits, mean MH-related ED visits, and proportion of ED visits for MH conditions were investigated to determine changes in each measure after the pandemic onset. Prepandemic baseline levels were established from 2019 data, and time trends of these patterns were examined in the corresponding weeks of 2020 and 2021. A fixed-effects estimation approach with weekly ED region data by year was used. Results: There were 1570 total observations in this study (52 weeks in 2019, 53 weeks in 2020, and 52 weeks in 2021). Statistically significant changes in non-MH and MH-related ED visits were observed across the 10 HHS regions. The mean total number of ED visits decreased by 45 117 (95% CI, -67 499 to -22 735) visits per region per week (39% decrease; P = .003) in the weeks after the pandemic onset compared with corresponding weeks in 2019. The mean number of ED visits for MH conditions (-1938 [95% CI, -2889 to -987]; P = .003) decreased significantly less (23% decrease) than the mean number of total visits after the onset of the pandemic, increasing the mean (SD) proportion of MH-related ED visits from 8% (1%) in 2019 to 9% (2%) in 2020. In 2021, the mean (SD) proportion decreased to 7% (2%), and the mean number of total ED visits rebounded more than that of mean MH-related ED visits. Conclusions and Relevance: In this study, MH-related ED visits demonstrated less elasticity than non-MH visits during the pandemic. These findings highlight the importance of addressing the provision of adequate MH services, both in acute and outpatient settings.

Data envelopment analysis to evaluate the efficiency of tobacco treatment programs in the NCI Moonshot Cancer Center Cessation Initiative.

BACKGROUND: The Cancer Center Cessation Initiative (C3I) is a National Cancer Institute (NCI) Cancer Moonshot Program that supports NCI-designated cancer centers developing tobacco treatment programs for oncology patients who smoke. C3I-funded centers implement evidence-based programs that offer various smoking cessation treatment components (e.g., counseling, Quitline referrals, access to medications). While evaluation of implementation outcomes in C3I is guided by evaluation of reach and effectiveness (via RE-AIM), little is known about technical efficiency-i.e., how inputs (e.g., program costs, staff time) influence implementation outcomes (e.g., reach, effectiveness). This study demonstrates the application of data envelopment analysis (DEA) as an implementation science tool to evaluate technical efficiency of C3I programs and advance prioritization of implementation resources. METHODS: DEA is a linear programming technique widely used in economics and engineering for assessing relative performance of production units. Using data from 16 C3I-funded centers reported in 2020, we applied input-oriented DEA to model technical efficiency (i.e., proportion of observed outcomes to benchmarked outcomes for given input levels). The primary models used the constant returns-to-scale specification and featured cost-per-participant, total full-time equivalent (FTE) effort, and tobacco treatment specialist effort as model inputs and reach and effectiveness (quit rates) as outcomes. RESULTS: In the DEA model featuring cost-per-participant (input) and reach/effectiveness (outcomes), average constant returns-to-scale technical efficiency was 25.66 (SD = 24.56). When stratified by program characteristics, technical efficiency was higher among programs in cohort 1 (M = 29.15, SD = 28.65, n = 11) vs. cohort 2 (M = 17.99, SD = 10.16, n = 5), with point-of-care (M = 33.90, SD = 28.63, n = 9) vs. no point-of-care services (M = 15.59, SD = 14.31, n = 7), larger (M = 33.63, SD = 30.38, n = 8) vs. smaller center size (M = 17.70, SD = 15.00, n = 8), and higher (M = 29.65, SD = 30.99, n = 8) vs. lower smoking prevalence (M = 21.67, SD = 17.21, n = 8). CONCLUSION: Most C3I programs assessed were technically inefficient relative to the most efficient center benchmark and may be improved by optimizing the use of inputs (e.g., cost-per-participant) relative to program outcomes (e.g., reach, effectiveness). This study demonstrates the appropriateness and feasibility of using DEA to evaluate the relative performance of evidence-based programs.

Trends in depression risk before and during the COVID-19 pandemic.

Using 11 years of the U.S. Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System survey data set for 2011 to 2021, we track the evolution of depression risk for U.S. states and territories before and during the COVID-19 pandemic. We use these data in conjunction with unemployment and COVID case data by state and by year to describe changes in the prevalence of self-reported diagnosis with a depressive disorder over time and especially after the onset of COVID in 2020 and 2021. We further investigate heterogeneous associations of depression risk by demographic characteristics. Regression analyses of these associations adjust for state-specific and period-specific factors using state and year-fixed effects. First, we find that depression risk had been increasing in the US in years preceding the pandemic. Second, we find no significant average changes in depression risk at the onset of COVID in 2020 relative to previous trends, but estimate a 3% increase in average depression risk in 2021. Importantly, we find meaningful variation in terms of changes in depression risk during the pandemic across demographic subgroups.

Evaluation of the sugar-sweetened beverage tax in Oakland, United States, 2015-2019: A quasi-experimental and cost-effectiveness study.

BACKGROUND: While a 2021 federal commission recommended that the United States government levy a sugar-sweetened beverage (SSB) tax to improve diabetes prevention and control efforts, evidence is limited regarding the longer-term impacts of SSB taxes on SSB purchases, health outcomes, costs, and cost-effectiveness. This study estimates the impact and cost-effectiveness of an SSB tax levied in Oakland, California. METHODS AND FINDINGS: An SSB tax ($0.01/oz) was implemented on July 1, 2017, in Oakland. The main sample of sales data included 11,627 beverage products, 316 stores, and 172,985,767 product-store-month observations. The main analysis, a longitudinal quasi-experimental difference-in-differences approach, compared changes in beverage purchases at stores in Oakland versus Richmond, California (a nontaxed comparator in the same market area) before and 30 months after tax implementation (through December 31, 2019). Additional estimates used synthetic control methods with comparator stores in Los Angeles, California. Estimates were inputted into a closed-cohort microsimulation model to estimate quality-adjusted life years (QALYs) and societal costs (in Oakland) from 6 SSB-associated disease outcomes. In the main analysis, SSB purchases declined by 26.8% (95% CI -39.0 to -14.7, p < 0.001) in Oakland after tax implementation, compared with Richmond. There were no detectable changes in purchases of untaxed beverages or sweet snacks or purchases in border areas surrounding cities. In the synthetic control analysis, declines in SSB purchases were similar to the main analysis (-22.4%, 95% CI -41.7% to -3.0%, p = 0.04). The estimated changes in SSB purchases, when translated into declines in consumption, would be expected to accrue QALYs (94 per 10,000 residents) and significant societal cost savings (>$100,000 per 10,000 residents) over 10 years, with greater gains over a lifetime horizon. Study limitations include a lack of SSB consumption data and use of sales data primarily from chain stores. CONCLUSIONS: An SSB tax levied in Oakland was associated with a substantial decline in volume of SSBs purchased, an association that was sustained more than 2 years after tax implementation. Our study suggests that SSB taxes are effective policy instruments for improving health and generating significant cost savings for society.

Effectiveness of Peer-Support Interventions for Smoking Cessation: A Systematic Review and Meta-analysis.

INTRODUCTION: Peer support has been recommended to promote smoking cessation, but results from prior meta-analyses have not established its efficacy. We conducted a systematic review and meta-analysis to assess current evidence and identify potential modifiers of efficacy. METHODS: Randomized controlled trials of peer-support interventions with a smoking cessation outcome were identified in January 2022 from PubMed and references listed in identified studies. The meta-analysis outcome measure was mean risk ratio (RR, 95% confidence interval [CI]) for abstinence at the longest follow-up timepoint between 3 and 9 months from baseline. Potential modifiers tested were peer smoking status (former, current, or unknown), follow-up timepoint, abstinence measure, and cumulative engagement time between peers and smokers ("dose"). Studies were assessed for risk of bias and certainty of evidence. RESULTS: We identified 16 trials, which varied in abstinence effect size (RR 0.61-3.07), sample size (23-2121), dose (41-207 minutes), and follow-up timepoint (<1-15 months). Across 15 trials with follow-up between 3 and 9 months (N = 8573 participants; 4565 intervention, 4008 control), the pooled Mantel-Haenszel RR was 1.34 (95% CI: 1.11-1.62). Effect sizes were greatest among interventions with formerly smoking peers (RR 1.43, 95% CI 1.17-1.74; five trials). We found positive effects for follow-up timepoints ≥3 months but no effect of intervention dose. The overall quality of evidence was deemed "very low." CONCLUSIONS: Peer-support interventions increased smoking abstinence. There remains a lack of consensus about how to define a peer. Intervention features such as peer smoking status appear to have explanatory power. Additional high-quality and more comparable trials are needed. IMPLICATIONS: This study reviewed the latest evidence from randomized controlled trials and found that peer-support interventions enhance smoking cessation. Efficacy varies with key intervention features such as peer smoking status and follow-up timepoint, which may be used to facilitate development of more effective peer-support interventions. Future trials and reviews would benefit from careful consideration and clear reporting of peer smoking status, length of follow-up, abstinence measures, and intervention dose.

Sugar-Sweetened Beverage Taxes and Perinatal Health: A Quasi-Experimental Study.

INTRODUCTION: One in 5 pregnant individuals report consuming sugar-sweetened beverages at least once per day. Excess sugar consumption during pregnancy is associated with several perinatal complications. As sugar-sweetened beverage taxes become increasingly common public health measures to reduce sugar-sweetened beverage consumption, evidence of the downstream effects of sugar-sweetened beverage taxes on perinatal health remains limited. METHODS: This longitudinal retrospective study examines whether sugar-sweetened beverage taxes in 5 U.S. cities were associated with decreased risk of perinatal complications, leveraging 2013-2019 U.S. national birth certificate data and a quasi-experimental difference-in-differences approach to estimate changes in perinatal outcomes. Analysis occurred from April 2021 through January 2023. RESULTS: The sample included 5,324,548 pregnant individuals and their live singleton births in the U.S. from 2013 through 2019. Sugar-sweetened beverage taxes were associated with a 41.4% decreased risk of gestational diabetes mellitus (-2.2 percentage points; 95% CI= -4.2, -0.2), a -7.9% reduction in weight-gain-for-gestational-age z-score (-0.2 standard deviations; 95% CI= -0.3, -0.01), and decreased risk of infants born small for gestational age (-4.3 percentage points; 95% CI= -6.5, -2.1). There were heterogeneous effects across subgroups, particularly for weight-gain-for-gestational-age z-score. CONCLUSIONS: Sugar-sweetened beverage taxes levied in five U.S. cities were associated with improvements in perinatal health. Sugar-sweetened beverage taxes may be an effective policy instrument for improving health during pregnancy, a critical window during which short-term dietary exposures can have lifelong consequences for the birthing person and child.

Neighborhood disadvantage and the risk of dementia and mortality among refugees to Denmark: A quasi-experimental study.

Objectives: Neighborhood disadvantage may increase the risk of adverse health outcomes among older refugees. Yet few studies rigorously estimate the effects of place-based factors on later-life health, particularly dementia and mortality. Evidence about refugees is especially sparse. Methods: This study leveraged a natural experiment in the form of a Danish policy (1986-1998) that dispersed refugees quasi-randomly across neighborhoods upon arrival. We used longitudinal registers allowing 30 years of follow-up among refugees aged 40+ years upon arrival in Denmark (N = 9,854). Cox models assessed the association between neighborhood disadvantage and risk of dementia and mortality. We examined heterogeneous effects by sex, age, and family size. We also examined associations among non-refugee immigrants and native-born Danes. Results: Neighborhood disadvantage was not associated with dementia in any group. One unit increase in neighborhood disadvantage index (ranges -8 to 5.7) was associated with greater mortality risk among non-refugee immigrants (HR 1.06, 95%CI: 1.02, 1.10) and native-born Danes (HR 1.11, 95%CI: 1.06, 1.17). In contrast, neighborhood disadvantage was associated with lower mortality risk among refugees (HR 0.96, 95%CI: 0.93, 0.99). Neighborhood disadvantage remained negatively associated with mortality risk in subgroups: refugees who are female (on moderate-disadvantage compared to low-disadvantage), aged 60+, and who arrived with families. Discussion: While neighborhood disadvantage was associated with lower mortality risk among refugees, it was associated with greater mortality risk among non-refugee immigrants and native-born Danes, perhaps due to confounding in the latter groups or different place-based experiences by immigration status. Future research is warranted to explain the reasons for contrasting findings.