Assessing Direct and Spillover Effects of Intervention Packages in Network-randomized Studies.

BACKGROUND: Intervention packages may result in a greater public health impact than single interventions. Understanding the separate impact of each component on the overall package effectiveness can improve intervention delivery. METHODS: We adapted an approach to evaluate the effects of a time-varying intervention package in a network-randomized study. In some network-randomized studies, only a subset of participants in exposed networks receive the intervention themselves. The spillover effect contrasts average potential outcomes if a person was not exposed to themselves under intervention in the network versus no intervention in a control network. We estimated the effects of components of the intervention package in HIV Prevention Trials Network 037, a Phase III network-randomized HIV prevention trial among people who inject drugs and their risk networks using marginal structural models to adjust for time-varying confounding. The index participant in an intervention network received a peer education intervention initially at baseline, then boosters at 6 and 12 months. All participants were followed to ascertain HIV risk behaviors. RESULTS: There were 560 participants with at least one follow-up visit, 48% of whom were randomized to the intervention, and 1,598 participant visits were observed. The spillover effect of the boosters in the presence of initial peer education training was a 39% rate reduction (rate ratio = 0.61; 95% confidence interval = 0.43, 0.87). CONCLUSIONS: These methods will be useful for evaluating intervention packages in studies with network features.

St. Louis Enhancing Engagement and Retention in HIV/AIDS Care (STEER): a participatory intersectional needs assessment for intervention and implementation planning.

Background Missouri is one of seven priority states identified by the Ending the HIV Epidemic Initiative, and St. Louis contains almost half of the people living with HIV (PLWH) in Missouri. As St. Louis has a marked history of structural racism and economic inequities, we utilized the Intersectionality Based Policy Analysis (IBPA) framework to guide a participatory needs assessment for planning and program development. Methods The planning team included researchers, the lead implementer from our community partner, and two community representatives, and had biweekly 60-90 minute meetings for 18 months. The planning team discussed and approved all research materials, reviewed and interpreted results, and made decisions about outreach, recruitment, conduct of the needs assessment and development of the planned intervention. The needs assessment integrated information from existing data, (1) interviews with (a) PLWH (n=12), (b) community leaders (n=5), (c) clinical leaders (n=4), and (d) community health workers (CHWs) (n=3) and (e) CHW supervisors (n=3) who participated in a Boston University-led demonstration project on CHWs in the context of HIV and (2) focus groups (2 FG, 12 participants) with front line health workers such as peer specialists, health coaches and outreach workers. A rapid qualitative analysis approach was used for all interviews and focus groups. Results The IBPA was used to guide team discussions of team values, definition and framing of the problem, questions and topics in the key informant interviews, and implementation strategies. Applying the IBPA framework contributed to a focus on intersectional drivers of inequities in HIV services. The effective management of HIV faces significant challenges from high provider turnover, insufficient integration of CHWs into care teams, and organizational limitations in tailoring treatment plans. Increasing use of CHWs for HIV treatment and prevention also faces challenges. People living with HIV (PLWH) encounter multiple barriers such as stigma, lack of social support, co-morbidities, medication side effects and difficulties in meeting basic needs. Conclusions Addressing intersectional drivers of health inequities may require multi-level, structural approaches. We see the IBPA as a valuable tool for participatory planning while integrating community engagement principles in program and implementation design for improving HIV outcomes.

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure.

Regression calibration as developed by Rosner, Spiegelman, and Willett is used to adjust the bias in effect estimates due to measurement error in continuous exposures. The method involves two models: a measurement error model relating the mismeasured exposure to the true (or gold-standard) exposure and an outcome model relating the mismeasured exposure to the outcome. However, no comprehensive guidance exists for determining which covariates should be included in each model. In this article, we investigate the selection of the minimal and most efficient covariate adjustment sets under a causal inference framework. We show that to address the measurement error, researchers must adjust for, in both measurement error and outcome models, any common causes (1) of true exposure and the outcome and (2) of measurement error and the outcome. We also show that adjusting for so-called prognostic variables that are independent of true exposure and measurement error in the outcome model, may increase efficiency, while adjusting for any covariates that are associated only with true exposure generally results in efficiency loss in realistic settings. We apply the proposed covariate selection approach to the Health Professional Follow-up Study dataset to study the effect of fiber intake on cardiovascular disease. Finally, we extend the originally proposed estimators to a nonparametric setting where effect modification by covariates is allowed.

Effects of a dietary intervention on cardiometabolic risk and food consumption in a workplace.

BACKGROUND: Worksite-based health programs have shown positive impacts on employee health and have led to significant improvements in cardiovascular risk factor profiles. We aimed to determine the effect of cafeteria intervention on cardio-metabolic risk factors diet in a worksite setting (Dhulikhel Hospital) in Nepal. METHODS: In this one-arm pre-post intervention study, we recruited 277 non-pregnant hospital employees aged 18-60 with prediabetes or pre-hypertension. The study was registered in clinicaltrials.gov (NCT03447340; 2018/02/27). All four cafeterias in the hospital premises received cafeteria intervention encouraging healthy foods and discouraging unhealthy foods for six months. We measured blood pressure, fasting glucose level, glycated hemoglobin, cholesterol in the laboratory, and diet intake (in servings per week) using 24-hour recall before and six months after the intervention. The before and after measures were compared using paired-t tests. RESULTS: After six months of cafeteria intervention, the median consumption of whole grains, mono/polyunsaturated fat, fruits, vegetable and nuts servings per week increased by 2.24(p<0.001), 2.88(p<0.001), 0.84(p<0.001) 2.25(p<0.001) and nuts 0.55 (p<0.001) servings per week respectively. The median consumption of refined grains decreased by 5.07 servings per week (p<0.001). Mean systolic and diastolic blood pressure decreased by 2 mmHg (SE = 0.6; p = 0.003) and 0.1 mmHg (SE = 0.6; p = 0.008), respectively. The low-density lipoprotein (LDL) was significantly reduced by 6 mg/dL (SE = 1.4; p<0.001). CONCLUSION: Overall, we found a decrease in consumption of refined grains and an increase in consumption of whole grains, unsaturated fats, fruits, and nuts observed a modest reduction in blood pressure and LDL cholesterol following a 6-month cafeteria-based worksite intervention incorporating access to healthy foods.

Barriers and Facilitators of Implementing a Healthy Lifestyle Intervention at Workplaces in South Africa.

Current evidence indicates that workplace health and wellness programmes provide numerous benefits concerning altering cardiovascular risk factor profiles. Implementing health programmes at workplaces provide an opportunity to engage adults towards positive and sustainable lifestyle choices. The first step in designing lifestyle interventions for the workplace is understanding the barriers and facilitators to implementing interventions in these settings. The barriers and facilitators to implementing lifestyle interventions in the workplace environment was qualitatively explored at two multinational consumer goods companies among seven workplaces in South Africa. Semi-structured in-depth interviews (IDIs) were conducted with ten workplace managers. Five focus group discussions (FGDs) were conducted among workplace employees. The IDI findings revealed that the main facilitators for participation in a lifestyle intervention programme were incentives and rewards, educational tools, workplace support, and engaging lessons. In contrast, the main facilitator of the FGDs was health and longevity. The main barriers from the IDIs included scheduling time for lifestyle interventions within production schedules at manufacturing sites, whereas time limitations, a lack of willpower and self-discipline were the main barriers identified from the FGDs. The findings of this study add to literature on the barriers and facilitators of implementing healthy lifestyle interventions at workplaces and suggest that there is a potential for successfully implementing intervention programmes to improve health outcomes, provided that such efforts are informed and guided through the engagement of workplace stakeholders, an assessment of the physical and food environment, and the availability of workplace resources.

Improving lifestyle behaviors during chemotherapy for breast cancer: The Lifestyle, Exercise, and Nutrition Early After Diagnosis (LEANer) Trial.

BACKGROUND: Little is known about improving physical activity (PA) and diet during and after chemotherapy for breast cancer. This secondary analysis examines changes in PA and diet quality during a yearlong intervention for patients with breast cancer undergoing chemotherapy and evaluates factors associated with these changes. METHODS: Newly diagnosed patients with breast cancer (N = 173) undergoing chemotherapy were randomized to a year-long nutrition and exercise intervention (n = 87) or usual care (UC, n = 86). Mixed models compared 1-year changes in PA and diet quality via the Healthy Eating Index (HEI)-2015 by study arm. Among the intervention group, baseline factors associated with change in PA and diet were assessed with multivariable linear and logistic regression. RESULTS: At 1 year, compared with UC, the intervention arm increased PA more (mean difference = 136.1 minutes/week; 95% CI, 90.2-182.0), participated in more strength training (56% vs. 15%; p < .001), and had suggestive improvements in HEI-2015 (mean difference = 2.5; 95% CI, -0.3 to 5.3; p = .08). In the intervention arm, lower fatigue was associated with improved PA (p = .04) and higher education was associated with improved HEI-2015 (p = .001) at 1 year. Higher HEI-2015 (p = .04) and married/living with someone (p = .05) were associated with higher odds of participating in strength training at 1 year. CONCLUSIONS: This year-long lifestyle intervention for patients with breast cancer undergoing chemotherapy resulted in increases in PA and suggestive improvements in diet quality. Behavior change was associated with baseline fatigue, diet quality, education, and married/living with someone. Addressing these factors in interventions may improve uptake of lifestyle behaviors in trials during and after chemotherapy.

Assessing Direct and Spillover Effects of Intervention Packages in Network-Randomized Studies.

Intervention packages may result in a greater public health impact than single interventions. Understanding the separate impact of each component in the overall package effectiveness can improve intervention delivery. We adapted an approach to evaluate the effects of a time-varying intervention package in a network-randomized study. In some network-randomized studies, only a subset of participants in exposed networks receive the intervention themselves. The spillover effect contrasts average potential outcomes if a person was not exposed themselves under intervention in the network versus no intervention in a control network. We estimated effects of components of the intervention package in HIV Prevention Trials Network 037, a Phase III network-randomized HIV prevention trial among people who inject drugs and their risk networks using Marginal Structural Models to adjust for time-varying confounding. The index participant in an intervention network received a peer education intervention initially at baseline, then boosters at 6 and 12 months. All participants were followed to ascertain HIV risk behaviors. There were 560 participants with at least one follow-up visit, 48% of whom were randomized to the intervention, and 1,598 participant-visits were observed. The spillover effect of the boosters in the presence of initial peer education training was a 39% rate reduction (Rate Ratio = 0.61; 95% confidence interval= 0.43, 0.87). These methods will be useful to evaluate intervention packages in studies with network features.

Overall, Direct, Spillover, and Composite Effects of Components of a Peer-Driven Intervention Package on Injection Risk Behavior Among People Who Inject Drugs in the HPTN 037 Study.

We sought to disentangle effects of the components of a peer-education intervention on self-reported injection risk behaviors among people who inject drugs (n = 560) in Philadelphia, US. We examined 226 egocentric groups/networks randomized to receive (or not) the intervention. Peer-education training consisted of two components delivered to the intervention network index individual only: (1) an initial training and (2) "booster" training sessions during 6- and 12-month follow up visits. In this secondary data analysis, using inverse-probability-weighted log-binomial mixed effects models, we estimated the effects of the components of the network-level peer-education intervention upon subsequent risk behaviors. This included contrasting outcome rates if a participant is a network member [non-index] under the network exposure versus under the network control condition (i.e., spillover effects). We found that compared to control networks, among intervention networks, the overall rates of injection risk behaviors were lower in both those recently exposed (i.e., at the prior visit) to a booster (rate ratio [95% confidence interval]: 0.61 [0.46-0.82]) and those not recently exposed to it (0.81 [0.67-0.98]). Only the boosters had statistically significant spillover effects (e.g., 0.59 [0.41-0.86] for recent exposure). Thus, both intervention components reduced injection risk behaviors with evidence of spillover effects for the boosters. Spillover should be assessed for an intervention that has an observable behavioral measure. Efforts to fully understand the impact of peer education should include routine evaluation of spillover effects. To maximize impact, boosters can be provided along with strategies to recruit especially committed peer educators and to increase attendance at trainings. Clinical Trials Registration Clinicaltrials.gov NCT00038688 June 5, 2002.

RESUMEN: Intentamos desenmarañar los efectos de los componentes de una intervención de educación entre pares sobre los comportamientos de inyección de riesgo autorreportados entre personas que se inyectan drogas (n = 560; 226 grupos/redes egocéntricos(as)) aleatorizados(as) a recibir (o no) la intervención en Filadelfia, EUA. Dos componentes fueron administrados a índices de redes de intervención: una capacitación inicial y sesiones de "refuerzo" durante visitas de seguimiento. Usando modelos log-binomial de efectos mixtos ponderados por probabilidad inversa, estimamos los efectos de dichos componentes sobre los comportamientos de riesgo posteriores. Encontramos que en comparación con las redes control, en las redes de intervención, las tasas generales de comportamientos de inyección de riesgo fueron más bajas en ambas aquellas expuestas recientemente a un refuerzo (razón de tasas [intervalo de confianza del 95%]: 0.61 [0.46­0.82]) y aquellas no expuestas recientemente (0.81 [0.67­0.98]). Solamente los refuerzos tuvieron efectos derrame (i.e., contraste de las tasas de resultados si es miembro [no índice] de una red en una red con exposición reciente versus bajo la condición control) significativos (p. ej., 0.59 [0.41­0.86] para la exposición reciente).

Post-diagnosis weight trajectories and mortality among women with breast cancer.

Weight gain after breast cancer diagnosis is associated with adverse health outcomes. Yet, few studies have characterized post-diagnosis weight change in the modern treatment era or populations most at risk for weight changes. Among women diagnosed with stages I-III breast cancer in the Smilow Care Network (2013-2019; N = 5441), we abstracted demographic and clinical characteristics from electronic health records and survival data from tumor registries. We assessed if baseline characteristics modified weight trajectories with nonlinear multilevel mixed-effect models. We evaluated body mass index (BMI) at diagnosis and weight change 1-year post-diagnosis in relation to all-cause and breast cancer-specific mortality with Cox proportional hazard models. Women had 34.4 ± 25.5 weight measurements over 3.2 ± 1.8 years of follow-up. Weight gain was associated with ER/PR-, HER2+ tumors, BMI ≤ 18.5 kg/m2, and age ≤ 45 years (+4.90 kg (standard error [SE] = 0.59), +3.24 kg (SE = 0.34), and +1.75 kg (SE = 0.10), respectively). Weight loss was associated with BMI ≥ 35 kg/m2 and age ≥ 70 years (-4.50 kg (SE = 0.08) and -4.34 kg (SE = 0.08), respectively). Large weight loss (≥10%), moderate weight loss (5-10%), and moderate weight gain (5-10%) 1-year after diagnosis were associated with higher all-cause mortality (hazard ratio [HR] = 2.93, 95% confidence interval [CI] = 2.28-3.75, HR = 1.32, 95% CI = 1.02-1.70 and HR = 1.39, 95% CI = 1.04-1.85, respectively). BMI ≥ 35 kg/m2 or BMI ≤ 18.5 kg/m2 at diagnosis were also associated with higher all-cause mortality. Weight change after a breast cancer diagnosis differed by demographic and clinical characteristics highlighting subgroups at-risk for weight change during a 5-year period post-diagnosis. Monitoring and interventions for weight management early in clinical care are important.

Reasons for using traditional and complementary care by people living with HIV on antiretroviral therapy and association with interrupted care: a mixed methods study in Eswatini.

The use of traditional, complementary, and alternative medicine (TCAM) can lead to delays and interruptions in the HIV continuum of care. This study explores reasons for TCAM use in people living with HIV on antiretroviral therapy (ART) in Eswatini and compares interrupted care between different types of TCAM users. Data were collected using surveys in the MaxART study (a test-and-treat trial) between 2014 and 2017 to assess the exposure, namely visiting a TCAM provider. Additionally, visit dates were retrieved from clinic records to assess the outcome, interrupted care. Open-ended questions were analysed with qualitative content analysis (n = 602) and closed questions with bivariable and multivariable analysis (n = 202). Out of 202 participants, 145 (72%) never used TCAM, 40 (20%) ever used, and 17 (8%) is currently using TCAM (diviners, herbalists, and religious healers). No differences in interrupted care were found comparing never (reference category), past (Odds Ratio: 1.31, 95% confidence interval: 0.63-2.72), and current users (1.34, 0.47-3.77), while adjusting for gender, time since HIV diagnosis, and time on ART. Contextual factors affecting the choice for TCAM were the influence of family, advice from the health facility, and religious beliefs. Individual factors include trust in biomedical care, type of illness, no need for additional care, and practical reasons such as financial means. In conclusion, individual and contextual factors influence the choice for TCAM. Interrupted care does not differ between never, past, and current users.

Randomized Trial Evaluating a Self-Guided Lifestyle Intervention Delivered via Evidence-Based Materials versus a Waitlist Group on Changes in Body Weight, Diet Quality, Physical Activity, and Quality of Life among Breast Cancer Survivors.

Background: Lifestyle interventions for breast cancer survivors have proved effective at stimulating positive behavior change and promoting healthy weight loss, although integrating these programs into clinical practice is challenging. We evaluated the effect of a 6-month, unsupervised, self-guided, lifestyle intervention using printed materials and online videos vs. waitlist group on body weight for breast cancer survivors. Methods: The Lifestyle, Exercise and Nutrition (LEAN) Self-Guided trial randomized breast cancer survivors with a body mass index ≥25 kg/m2 to a 6-month lifestyle intervention (N = 102) or waitlist group (N = 103). Effects of the intervention on self-reported body weight, physical activity (PA), diet quality (via Health Eating Index-2010 (HEI-2010)), and quality of life were assessed using mixed model repeated measures analysis. Results: At 6 months, the intervention arm had significantly greater weight loss compared with the waitlist group (mean difference = -1.3 kg, 95% confidence interval [CI] = -2.5, -0.13). We observed suggestive improvements in PA (mean difference = 18.7 min/week, 95% CI = -24.2, 61.6), diet quality (mean difference in HEI = 3.2 points, 95% CI = -0.20, 6.5), and fatigue (mean difference in Functional Assessment of Chronic Illness Therapy-Fatigue scale = 1.4 points, 95% CI = -1.1, 3.9). Conclusions: The LEAN Self-Guided intervention led to favorable weight changes over 6 months. Low-resource-intensive programs have the potential to be delivered in diverse healthcare settings and may support breast cancer survivors in achieving a healthy body weight.

Factors associated with receiving results and attending colposcopy in patients with positive HPV screens in Mexico City.

We identified patient and healthcare system factors related to receipt of screening results and attendance to colposcopy among patients with positive screening results in a cervical cancer screening program in Mexico City, Mexico. We analyzed data from 1,351 patients with high-risk human papillomavirus (HPV)-positive results from two screening demonstration studies conducted between 2017 and 2018. Factors associated with receipt of screening results and with adherence to a colposcopy appointment were identified using multivariable logistic regression. Participants had a median age of 40 years (IQR = 32-48), 60% had less than high school education, and 74% had a previous Pap screening in the last 5 years. Fifty-five percent of participants retrieved their screening results at the healthcare facility (HCF) without any reminder. Providing an email address for contact information, attending a HCF with family medicine, and receiving care from experienced nurses were associated with greater adherence to obtaining screening test results. Fifty-seven percent of participants attended their first scheduled colposcopy appointment. Providing a phone number improved adherence to colposcopy, whereas longer travel times between the HCF and the colposcopy clinic was associated with a decrease in colposcopy adherence. Having a Pap test in the last 5 years was positively associated with better compliance with both outcomes. Securing contact information may help to overcome barriers to future follow-up. Additional research is necessary on strategies for obtaining screening test results and scheduling appointments, which may help address barriers to access, such as limited staff availability, distance from the clinic, and travel costs.

Trusted residents and housing assistance to decrease violence exposure in New Haven (TRUE HAVEN): a strengths-based and community-driven stepped-wedge intervention to reduce gun violence.

BACKGROUND: We describe the rationale and study design for "TRUsted rEsidents and Housing Assistance to decrease Violence Exposure in New Haven (TRUE HAVEN)," a prospective type 1 hybrid effectiveness/implementation study of a multi-level intervention using a stepped wedge design. TRUE HAVEN aims to lower rates of community gun violence by fostering the stability, wealth, and well-being of individuals and families directly impacted by incarceration through the provision of stable housing and by breaking the cycle of trauma. DESIGN: TRUE HAVEN is an ongoing, multi-level intervention with three primary components: financial education paired with housing support (individual level), trauma-informed counseling (neighborhood level), and policy changes to address structural racism (city/state level). Six neighborhoods with among the highest rates of gun violence in New Haven, Connecticut, will receive the individual and neighborhood level intervention components sequentially beginning at staggered 6-month steps. Residents of these neighborhoods will be eligible to participate in the housing stability and financial education component if they were recently incarcerated or are family members of currently incarcerated people; participants will receive intense financial education and follow-up for six months and be eligible for special down payment and rental assistance programs. In addition, trusted community members and organization leaders within each target neighborhood will participate in trauma-informed care training sessions to then be able to recognize when their peers are suffering from trauma symptoms, to support these affected peers, and to destigmatize accessing professional mental health services and connect them to these services when needed. Finally, a multi-stakeholder coalition will be convened to address policies that act as barriers to housing stability or accessing mental healthcare. Interventions will be delivered through existing partnerships with community-based organizations and networks. The primary outcome is neighborhood rate of incident gun violence. To inform future implementation and optimize the intervention package as the study progresses, we will use the Learn As You Go approach to optimize and assess the effectiveness of the intervention package on the primary study outcome. DISCUSSION: Results from this protocol will yield novel evidence for whether and how addressing structural racism citywide leads to a reduction in gun violence. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05723614. Registration date: February 01, 2023. Please refer to https://clinicaltrials.gov/ct2/show/NCT05723614 for public and scientific inquiries.

Design and Implementation of a Culturally-Tailored Randomized Pilot Trial: Puerto Rican Optimized Mediterranean-Like Diet.

Background: Adhering to a Mediterranean Diet (MedDiet) is associated with a healthier cardiometabolic profile. However, there are limited studies on the MedDiet benefits for non-Mediterranean racial/ethnic minorities, for whom this diet may be unfamiliar and inaccessible and who have a high risk of chronic diseases. Objectives: To describe the study design of a pilot trial testing the efficacy of a MedDiet-like tailored to adults in Puerto Rico (PR). Methods: The Puerto Rican Optimized Mediterranean-like Diet (PROMED) was a single-site 4-mo parallel two-arm randomized pilot trial among a projected 50 free-living adults (25-65 y) living in PR with at least two cardiometabolic risk factors (clinicaltrials.gov registration #NCT03975556). The intervention group received 1 individual nutritional counseling session on a portion-control culturally-tailored MedDiet. Daily text messages reinforced the counseling content for 2 mo, and we supplied legumes and vegetable oils. Participants in the control group received cooking utensils and one standard portion-control nutritional counseling session that was reinforced with daily texts for 2 mo. Text messages for each group were repeated for two more months. Outcome measures were assessed at baseline, 2 and 4 m. The primary outcome was a composite cardiometabolic improvement score; secondary outcomes included individual cardiometabolic factors; dietary intake, behaviors, and satisfaction; psychosocial factors; and the gut microbiome. Results: PROMED was designed to be culturally appropriate, acceptable, accessible, and feasible for adults in PR. Strengths of the study include applying deep-structure cultural components, easing structural barriers, and representing a real-life setting. Limitations include difficulty with blinding and with monitoring adherence, and reduced timing and sample size. The COVID-19 pandemic influenced implementation, warranting replication. Conclusions: If PROMED is proven efficacious in improving cardiometabolic health and diet quality, the findings would strengthen the evidence on the healthfulness of a culturally-appropriate MedDiet and support its wider implementation in clinical and population-wide disease-prevention programs.

Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomes.

Epidemiologists are often interested in estimating the effect of functions of time-varying exposure histories in relation to continuous outcomes, for example, cognitive function. However, the individual exposure measurements that constitute the history upon which an exposure history function is constructed are usually mismeasured. To obtain unbiased estimates of the effects for mismeasured functions in longitudinal studies, a method incorporating main and validation studies was developed. Simulation studies under several realistic assumptions were conducted to assess its performance compared to standard analysis, and we found that the proposed method has good performance in terms of finite sample bias reduction and nominal confidence interval coverage. We applied it to a study of long-term exposure to PM 2.5 $\text{PM}_{2.5}$ , in relation to cognitive decline in the Nurses' Health Study Previously, it was found that the 2-year decline in the standard measure of cognition was 0.018 (95% CI, -0.034 to -0.001) units worse per 10 µ g/m 3 $\mu \text{g/m}^3$ increase in PM 2.5 $\text{PM}_{2.5}$ exposure. After correction, the estimated impact of PM 2.5 $\text{PM}_{2.5}$ on cognitive decline increased to 0.027 (95% CI, -0.059 to 0.005) units lower per 10 µ g/m 3 $\mu \text{g/m}^3$ increase. To put this into perspective, effects of this magnitude are about 2/3 of those found in our data associated with each additional year of aging: 0.044 (95% CI, -0.047 to -0.040) units per 1 year older after applying our correction method.

Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal.

BACKGROUND: Cervical cancer ranks as the most common cancer among Nepalese women with a high incidence and mortality. Despite evidence that effective screening programs reduce disease burden, screening services are under-utilized. Cancer stigma can be a major barrier to cervical cancer screening uptake among Nepalese women. OBJECTIVES: This study assessed the association between cancer stigma and cervical cancer screening uptake among women residing in semi-urban areas of Kavrepalanchok district (Dhulikhel and Banepa), Nepal. METHODS: We conducted a cross-sectional study among 426 women aged 30-60 years using telephone interview method from 15th June to 15th October 2021. A validated Cancer Stigma Scale (CASS) was used to measure cancer stigma and categorized women as presence of cancer stigma if the mean total score was greater than three. We obtained information on cervical cancer screening uptake through self-reported responses. Univariable and multivariable logistic regression were performed to assess the association between cancer stigma and cervical cancer screening uptake. We adjusted socio-demographic: age, ethnicity, occupation, religion and education, and reproductive health variables: parity, family planning user, age of menarche and age at first sexual intercourse during multivariable logistic regression. RESULTS: Twenty-three percent of women had cancer stigma and 27 percent reported that they had ever been screened for cervical cancer. The odds of being screened was 0.23 times lower among women who had stigma compared to those who had no stigma (95% CI: 0.11-0.49) after adjusting for confounders: age, ethnicity, occupation, religion, education, parity, contraceptive use, age of menarche and age at first sexual intercourse. CONCLUSION: Women residing in semi-urban areas of Nepal and had cancer stigma were less likely to have been screened for cervical cancer. De-stigmatizing interventions may alleviate cancer stigma and contribute to higher uptake of cervical cancer screening.

TRUsted rEsidents and Housing Assistance to decrease Violence Exposure in New Haven (TRUE HAVEN): A strengths-based and community-driven stepped-wedge intervention to reduce gun violence.

Background We describe the rationale and study design for " TRU sted r Esidents and H ousing A ssistance to decrease V iolence E xposure in N ew Haven (TRUE HAVEN)," a prospective type 1 hybrid effectiveness/implementation study of a multi-level intervention using a stepped wedge design. TRUE HAVEN aims to lower rates of community gun violence by fostering the stability, wealth, and well-being of individuals and families directly impacted by incarceration through the provision of stable housing and by breaking the cycle of trauma. Design: TRUE HAVEN is a multi-level intervention with three primary components: financial education paired with housing support (individual level), trauma-informed counseling (neighborhood level), and policy changes to address structural racism (city/state level). Six neighborhoods with among the highest rates of gun violence in New Haven, Connecticut, will receive the individual and neighborhood level intervention components sequentially beginning at staggered 6-month steps. Residents of these neighborhoods will be eligible to participate in the housing stability and financial education component if they were recently incarcerated or are family members of currently incarcerated people; participants will receive intense financial education and follow-up for six months and be eligible for special down payment and rental assistance programs. In addition, trusted community members and organization leaders within each target neighborhood will participate in trauma-informed care training sessions to then be able to recognize when their peers are suffering from trauma symptoms, to support these affected peers, and to destigmatize accessing professional mental health services and connect them to these services when needed. Finally, a multi-stakeholder coalition will be convened to address policies that act as barriers to housing stability or accessing mental healthcare. Interventions will be delivered through existing partnerships with community-based organizations and networks. The primary outcome is neighborhood rate of incident gun violence. To inform future implementation and optimize the intervention package as the study progresses, we will use the Learn As You Go approach to optimize and assess the effectiveness of the intervention package on the primary study outcome. Discussion Results from this protocol will yield novel evidence for whether and how addressing structural racism citywide leads to a reduction in gun violence. Trial registration ClinicalTrials.gov Identifier: NCT05723614. Registration date: February 01, 2023.

Mediation analysis in the presence of continuous exposure measurement error.

The difference method is used in mediation analysis to quantify the extent to which a mediator explains the mechanisms underlying the pathway between an exposure and an outcome. In many health science studies, the exposures are almost never measured without error, which can result in biased effect estimates. This article investigates methods for mediation analysis when a continuous exposure is mismeasured. Under a linear exposure measurement error model, we prove that the bias of indirect effect and mediation proportion can go in either direction but the mediation proportion is usually be less biased when the associations between the exposure and its error-prone counterpart are similar with and without adjustment for the mediator. We further propose methods to adjust for exposure measurement error with continuous and binary outcomes. The proposed approaches require a main study/validation study design where in the validation study, data are available for characterizing the relationship between the true exposure and its error-prone counterpart. The proposed approaches are then applied to the Health Professional Follow-up Study, 1986-2016, to investigate the impact of body mass index (BMI) as a mediator for mediating the effect of physical activity on the risk of cardiovascular diseases. Our results reveal that physical activity is significantly associated with a lower risk of cardiovascular disease incidence, and approximately half of the total effect of physical activity is mediated by BMI after accounting for exposure measurement error. Extensive simulation studies are conducted to demonstrate the validity and efficiency of the proposed approaches in finite samples.

Validation of the Cancer Stigma Scale in Nepalese Women.

BACKGROUND: Cancer stigma is known to have an adverse impact on cancer patients as well as vulnerable groups who are at risk of developing cancer. In Nepal, there is no validated instrument for assessing cancer stigma and there has been relatively little research examining the stigmatization of cancer among the Nepalese population. OBJECTIVE: We aimed to validate the Cancer Stigma Scale (CASS) among apparently healthy Nepali women. METHODS: We interviewed 426 Nepali women after the translation, back-translation, and cross-cultural adaptation of the CASS into Nepali. We assessed internal consistency using Cronbach's alpha and assessed model fit using confirmatory component analysis. RESULTS: The Nepali CASS had satisfactory internal reliability, Cronbach's alpha of the overall scale and six components was 0.88 and 0.70-0.89, respectively. Confirmatory factor analysis confirmed the six-factor structure (RMSEA = 0.074, GFI = 0.864, AGFI = 0.825, CFI = 0.901, NFI = 0.866, χ2/df=3.341). Having no formal education was associated with higher levels of stigma related to avoiding cancer patients and attributing cancer to personal responsibility. CONCLUSIONS: The Nepali CASS demonstrated sufficient internal consistency, reliability, and model fit indices, making it suitable for assessing cancer stigma among Nepali people.

The impact of a community health worker intervention on uptake of antenatal care: a cluster-randomized pragmatic trial in Dar es Salaam.

The provision of high-quality antenatal care (ANC) is important for preventing maternal and newborn mortality and morbidity, but only around half of pregnant women in Tanzania attended four or more ANC visits in 2019. Although there is emerging evidence on the benefit of community health worker (CHW) interventions on ANC uptake, few large-scale pragmatic trials have been conducted. This pragmatic cluster-randomized trial, implemented directly through the public sector health system, assessed the impact of an intervention that trained public sector CHWs to promote the uptake of ANC. We randomized 60 administrative wards in Dar es Salaam to either a targeted CHW intervention or a standard of care. The impact of the intervention was assessed using generalized estimating equations with an independent working correlation matrix to account for clustering within wards. A total of 243 908 women were included in the analysis of our primary outcome of four or more ANC visits. The intervention significantly increased the likelihood of attending four or more ANC visits [relative risk (RR): 1.42; 95% confidence interval (CI): 1.05, 1.92] and had a modest beneficial effect on the total number of ANC visits (percent change: 7.7%; 95% CI: 0.2%, 15.5%). While slightly more women in the intervention arm attended ANC in their first trimester compared with the standard-of-care arm (19% vs 18.7%), the difference was not significant (RR: 1.02; 95% CI: 0.84, 1.22). Our findings suggest that trained CHWs can increase attendance of ANC visits in Dar es Salaam and similar settings. However, additional interventions appear necessary to promote the early initiation of ANC. This study demonstrates that routine health system data can be leveraged for outcome assessment in trials and programme evaluation and that the results are likely superior, both in terms of bias and precision, to data that are collected specifically for science.