BETA: a comprehensive benchmark for computational drug-target prediction.

Internal validation is the most popular evaluation strategy used for drug-target predictive models. The simple random shuffling in the cross-validation, however, is not always ideal to handle large, diverse and copious datasets as it could potentially introduce bias. Hence, these predictive models cannot be comprehensively evaluated to provide insight into their general performance on a variety of use-cases (e.g. permutations of different levels of connectiveness and categories in drug and target space, as well as validations based on different data sources). In this work, we introduce a benchmark, BETA, that aims to address this gap by (i) providing an extensive multipartite network consisting of 0.97 million biomedical concepts and 8.5 million associations, in addition to 62 million drug-drug and protein-protein similarities and (ii) presenting evaluation strategies that reflect seven cases (i.e. general, screening with different connectivity, target and drug screening based on categories, searching for specific drugs and targets and drug repurposing for specific diseases), a total of seven Tests (consisting of 344 Tasks in total) across multiple sampling and validation strategies. Six state-of-the-art methods covering two broad input data types (chemical structure- and gene sequence-based and network-based) were tested across all the developed Tasks. The best-worst performing cases have been analyzed to demonstrate the ability of the proposed benchmark to identify limitations of the tested methods for running over the benchmark tasks. The results highlight BETA as a benchmark in the selection of computational strategies for drug repurposing and target discovery.

Mental Health Service Use, Barriers, and Service Preferences During COVID-19 among Low-Income Housing and Market-Rate Housing Residents of Harlem in New York City.

This study examined the differences in mental health service use, barriers, and service preferences among 393 low-income housing (LIH) and market-rate housing (MRH) Harlem residents in New York City. One-third (34.6%) endorsed the need for professional support for psychological issues, 27.2% and 15.8% reported using counseling services and psychotropic medication, with no differences between housing types. LIH residents (21.6-38.8%) reported significantly higher use of all types of mental health resources (e.g., websites, anonymous hotlines, self-help tools) compared with MRH residents (16.1-26.4%). Eighty-six percent reported barriers to mental health access, with LIH residents reporting more than double the barriers. Particularly, LIH residents reported greater difficulty getting time off work (34.1% vs. 14%), lack of health insurance (18.7% vs. 9.8%), lack of trust in mental health providers (14.6% vs. 4.7%), and stigma (12.2% vs. 5.1%) compared with MRH residents. Residents most preferred places of services were health clinics and houses of worship; provided by healthcare and mental health providers; and services delivered in-person and phone-based counseling. In contrast, residents least preferred getting support at mental health clinics; from family/friends; and by the Internet. No differences were found between service preferences by housing type. LIH residents reported higher use of mental health services and resources, but they face significantly more barriers to mental health care, suggesting a need to address specific barriers. Preferences for mental health services suggest a need for expanding mental health services to different settings given the low preference for services to be delivered at mental health clinics.

Caregiver Experience of Tele-dementia Care for Older Veterans.

BACKGROUND: For the 5 million persons living with dementia (PLWD) in the USA, telemedicine may improve access to specialty care from their homes. OBJECTIVE: To elicit informal caregiver perceptions of tele-dementia care provided during COVID-19. DESIGN: Qualitative, observational study using grounded theory. PARTICIPANTS: Informal caregivers aged 18 + who cared for an older adult who received tele-dementia services at two major VA healthcare systems participated in 30-60-min semi-structured telephone interviews. INTERVENTIONS: Interviews were designed using Fortney's Access to Care model. MAIN MEASURES: Thirty caregivers (mean age = 67, SD = 12, 87% women) were interviewed. KEY RESULTS: Five major themes were (1) Tele-dementia care avoids routine disruption and pre-visit stress; (2) Transportation barriers to in-person visits include not only travel logistics but navigating the sequelae of dementia and comorbid medical conditions. These include cognitive, behavioral, physical, and emotional challenges such as balance issues, incontinence, and agitation in traffic; (3) Tele-dementia care saves time and money and improves access to specialists; (4) Tele-dementia facilitated communication between caregiver and provider without hindering communication between PLWD and provider; and (5) Caregivers described ideal future dementia care as a combination of virtual and in-person modalities with in-home help, financial and medical support, and dementia-sensitive caregiver access. Caregivers interviewed saved 2.6 h ± 1.5 h (range: 0.5 to 6 h) of travel time. Multiple caregivers described disruption of routines as difficult in PLWD and appreciated the limited preparation and immediate return to routine post telemedicine visit as positives. CONCLUSIONS: Caregivers found tele-dementia care convenient, comfortable, stress reducing, timesaving, and highly satisfactory. Caregivers would prefer a combination of in-person and telemedicine visits, with an opportunity to communicate with providers privately. This intervention prioritizes care for older Veterans with dementia who have high care needs and are at higher risk for hospitalization than their same age counterparts without dementia.

Mental health, functional impairment, and barriers to mental health access among cancer patients in Vietnam.

OBJECTIVE: This study evaluated the prevalence and severity of depression and anxiety symptomatology, barriers to mental health access, and correlates of functional impairment among cancer inpatients. METHODS: This cross-sectional study recruited adult cancer patients (N = 300) in June and July 2022 at the largest oncological hospital in Vietnam. Multivariable linear regression analyses examined the association between demographics, clinical characteristics, and patients' functional impairment. RESULTS: Approximately 46.3% and 27.0% showed some depression and anxiety symptomatology, while 8.0% and 3.0% experienced major depressive and anxiety symptoms, respectively. Patients reported the most impairment in mobility and capacity for life activities. More functional impairment was identified in patients with gastrointestinal cancers, those receiving radiation therapy alone, and those scoring higher on depression and anxiety than in those with cancers originating in the head, neck, or lung or those receiving chemotherapy alone. Reports of better overall health status were negatively associated with functional impairment. Patients reported extensive perceived barriers to seeking psychiatric care, including not knowing where to get mental health support (86.7%), wanting to manage mental health independently (73.7%), and thinking mental health will resolve on its own (73.7%), and denying mental health concerns (61.0%). CONCLUSION: High frequency and severity of depression and anxiety symptomatology underscore the importance of integrating mental health services into existing oncological treatment protocols. Increasing mental health literacy and provision of psychoeducation is critical to addressing barriers to mental health service access. Integration of functional impairment evaluations into hospital admission and discharge planning is also needed.

Effects of M-DEPTH Model of Depression Care on Maternal HIV Viral Suppression and Adherence to the PMTCT Care Continuum Among HIV-Infected Pregnant Women in Uganda: Results from a Cluster Randomized Controlled Trial at Pregnancy Completion.

Perinatal depression has been shown to impede adherence to antiretroviral therapy (ART) and the prevention of mother-to-child transmission (PMTCT) care continuum; therefore, treating perinatal depression may result in increased viral suppression and PMTCT adherence. We examined the effects of the M-DEPTH (Maternal Depression Treatment in HIV) depression care model (including antidepressants and individual Problem Solving Therapy) on depression, maternal viral suppression and adherence to PMTCT care processes in an ongoing cluster-randomized controlled trial of 391 HIV-infected pregnant women (200 usual care; 191 intervention) with at least mild depressive symptoms enrolled across 8 antenatal care clinics in Uganda. At baseline, 68.3% had clinical depression and 41.7% had detectable HIV viral load. Adjusted repeated-measures multivariable regression models found that the intervention group was nearly 80% less likely to be clinically depressed [Adjusted OR (95% CI) 0.22 (0.05, 0.89)] at the 2-month post-pregnancy assessment, compared to the control group. However, the intervention and control groups did not differ meaningfully on maternal viral suppression, ART adherence, and other PMTCT care processes and outcomes. In this sample of women who were mostly virally suppressed and ART adherent at baseline, the depression care model had a strong effect on depression alleviation, but no downstream effects on viral suppression or other PMTCT care processes.Trial Registration NIH Clinical Trial Registry NCT03892915 (clinicaltrials.gov).

Alcohol Misuse, Binge Drinking, and their Associations with Psychosocial Factors during COVID-19 among Harlem Residents in New York City.

This study examined alcohol misuse and binge drinking prevalence among Harlem residents, in New York City, and their associations with psycho-social factors such as substance use, depression symptom severity, and perception of community policing during COVID-19. An online cross-sectional study was conducted among 398 adult residents between April and September 2021. Participants with a score of at least 3 for females or at least 4 for males out of 12 on the Alcohol Use Disorders Identification Test were considered to have alcohol misuse. Binge drinking was defined as self-reporting having six or more drinks on one occasion. Modified Poisson regression models were used to examine associations. Results showed that 42.7% used alcohol before COVID-19, 69.1% used it during COVID-19, with 39% initiating or increasing alcohol use during COVID-19. Alcohol misuse and binge drinking prevalence during COVID-19 were 52.3% and 57.0%, respectively. Higher severity of depression symptomatology, history of drug use and smoking cigarettes, and experiencing housing insecurity were positively associated with both alcohol misuse and binge drinking. Lower satisfaction with community policing was only associated with alcohol misuse, while no significant associations were found between employment insecurity and food insecurity with alcohol misuse or binge drinking. The findings suggest that Harlem residents may have resorted to alcohol use as a coping mechanism to deal with the impacts of depression and social stressors during COVID-19. To mitigate alcohol misuse, improving access to mental health and substance use disorder services, and addressing public safety through improving relations with police could be beneficial.

Study protocol for type II hybrid implementation-effectiveness trial of strategies for depression care task-sharing in community health stations in Vietnam: DEP Project.

BACKGROUND: It is not clear what the most effective implementation strategies are for supporting the enactment and sustainment of depression care services in primary care settings. This type-II Hybrid Implementation-Effectiveness study will compare the effectiveness of three system-level strategies for implementing depression care programs at 36 community health stations (CHSs) across 2 provinces in Vietnam. METHODS: In this cluster-randomized controlled trial, CHSs will be randomly assigned to one of three implementation conditions: (1) Usual Implementation (UI), which consists of training workshops and toolkits; (2) Enhanced Supervision (ES), which includes UI combined with bi-weekly/monthly supervision; and (3) Community-Engaged Learning Collaborative (CELC), which includes all components of ES, combined with bi-monthly province-wide learning collaborative meetings, during which cross-site learning and continuous quality improvement (QI) strategies are implemented to achieve better implementation outcomes. The primary outcome will be measured based on the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation quality, and Maintenance) using indicators on implementation, provider, and client factors. The secondary outcome examines factors associated with barriers and facilitators of quality implementation, while the tertiary outcome evaluates the incremental cost-effectiveness ratio of services provided in the ES and CELC conditions, relative to UI condition for depression care. A total of 1,296 clients receiving depression care at CHSs will be surveyed at baseline and 6-month follow-up to assess mental health and psychosocial outcomes (e.g., depression and anxiety severity, health function, quality of life). Additionally, 180 CHS staff and 180 non-CHS staff will complete pre- and post-training evaluation and surveys at baseline, 6, 12, and 24 months. DISCUSSION: We hypothesize that the additional implementation supports will make mental health service implementation superior in the ES and CELC arms compared to the UI arm. The findings of this project could identify effective implementation models and assess the added value of specific QI strategies for implementing depression care in primary care settings in Vietnam, with implications and recommendations for other low- and middle-income settings. More importantly, this study will provide evidence for key stakeholders and policymakers to consider policies that disseminate, scale up, and advance quality mental health care in Vietnam. TRIAL REGISTRATION: NCT04491045 on Clinicaltrials.gov. Registered July 29, 2020.

Stressors and Maladaptive Coping Mechanisms Associated with Elevated Perinatal Depressive Symptoms and Suicidality Among Women Living with HIV in Uganda.

BACKGROUND: Perinatal depression is highly prevalent among women living with HIV and contributes to nonadherence to the PMTCT (prevention of mother-to-child transmission) care continuum. We examined correlates of elevated depressive symptoms and suicidality in this population. METHOD: Baseline data from 391 Ugandan women enrolled in a cluster randomized controlled trial of a depression care intervention were analyzed. Adult women with confirmed sero-positive HIV status were eligible if their gestation period was ≤ 32 weeks, and they had a Patient Health Questionnaire (PHQ-9) score ≥ 5. Correlates of elevated depressive symptoms (PHQ-9 > 9) and moderate-to-severe suicidal ideation (more than half of the days in the prior 2 weeks) were assessed using bivariate and multivariate logistic regression models, controlling for clustering within study sites by using a random effects specification (with study site as the random effect), as well as age and education. RESULTS: The mean PHQ-9 score was 12.7 (SD = 5.1); 267 (68.3%) participants had elevated depressive symptoms, and 51 (13.0%) reported moderate-to-severe suicidality. In multiple logistic regression analysis, perceived provider stigma of childbearing [OR (95% CI) = 1.81 (1.16, 2.84)], greater use of negative problem-solving [OR (95% CI) = 1.09 (1.04, 1.15)], and lower general social support [OR (95% CI) = 0.50 (0.30, 0.82)] were correlated with elevated depression symptoms, while moderate-to-severe suicidal ideation was correlated with greater experience of physical interpersonal violence (IPV) and greater use of negative problem-solving. CONCLUSIONS: Programs aimed at improving provider support for the childbearing needs of persons living with HIV, supporting women who are experiencing IPV, and helping women to develop effective problem-solving skills and social supports may reduce symptoms of perinatal depression and help optimize PMTCT care outcomes. TRIAL REGISTRATION: Clinicaltrials.gov NCT03892915 (registered March 21, 2019).

Substance Use Patterns and Their Association with Depression and Social Factors During COVID-19 Among Harlem Residents in New York City.

This study aimed to identify the prevalence of substance use before and during COVID-19; and examined its association with depression and social factors among 437 residents from the neighborhood of Harlem in Northern Manhattan, New York City. Over a third of respondents reported using any substance before COVID-19, and initiating/increasing substance use during COVID-19. The most common substances used before COVID-19 and initiated/increased during COVID-19 were smoking (20.8% vs. 18.3%), marijuana (18.8% vs. 15.3%), and vaping (14.2% and 11.4%). The percentages of any hard drug use were 7.3% and 3.4%, respectively. After adjustment, residents with mild (Prevalence Ratio [PR] = 2.86, 95% CI 1.65, 4.92) and moderate (PR = 3.21, 95% CI 1.86, 5.56) symptoms of depression, and housing insecurity (PR = 1.47, 95% CI 1.12, 1.91) had at least a 47% greater probability of initiating and/or increasing substance use. Conversely, respondents with employment insecurity (PR = 0.71, 95% CI 0.57, 0.88) were 29% less likely to report such patterns. No association was found between substance use initiation and/or increase and food insecurity. High prevalence of substance use during COVID-19 may lead residents to turn to substance use as a coping mechanism for psychosocial stressors. Thus, it is essential to provide accessible and culturally sensitive mental health and substance use services.

Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation.

BACKGROUND: Multiple types of biomedical associations of knowledge graphs, including COVID-19-related ones, are constructed based on co-occurring biomedical entities retrieved from recent literature. However, the applications derived from these raw graphs (eg, association predictions among genes, drugs, and diseases) have a high probability of false-positive predictions as co-occurrences in the literature do not always mean there is a true biomedical association between two entities. OBJECTIVE: Data quality plays an important role in training deep neural network models; however, most of the current work in this area has been focused on improving a model's performance with the assumption that the preprocessed data are clean. Here, we studied how to remove noise from raw knowledge graphs with limited labeled information. METHODS: The proposed framework used generative-based deep neural networks to generate a graph that can distinguish the unknown associations in the raw training graph. Two generative adversarial network models, NetGAN and Cross-Entropy Low-rank Logits (CELL), were adopted for the edge classification (ie, link prediction), leveraging unlabeled link information based on a real knowledge graph built from LitCovid and Pubtator. RESULTS: The performance of link prediction, especially in the extreme case of training data versus test data at a ratio of 1:9, demonstrated that the proposed method still achieved favorable results (area under the receiver operating characteristic curve >0.8 for the synthetic data set and 0.7 for the real data set), despite the limited amount of testing data available. CONCLUSIONS: Our preliminary findings showed the proposed framework achieved promising results for removing noise during data preprocessing of the biomedical knowledge graph, potentially improving the performance of downstream applications by providing cleaner data.

The Impact of the COVID-19 Pandemic on College Students' Health and Financial Stability in New York City: Findings from a Population-Based Sample of City University of New York (CUNY) Students.

Understanding the effect of the coronavirus disease 2019 (COVID-19) pandemic on students' health and financial stability is important to establish effective interventions to mitigate these effects, which may have long-term consequences on their health and well-being. Public universities in urban centers represent a substantial proportion of college students in the USA. We implemented a cross-sectional population-based online survey of 2282 students in a large, public university in New York City in April 2020. We created weights to account for non-response and used Poisson regression with robust standard errors to estimate adjusted prevalence ratios (aPR) for factors associated with mental health outcomes. Students experienced high rates of anxiety/depression and financial instability due to the pandemic. Half of the students reported anxiety/depression (54.5%) and an increased need for mental health services (49.0%) as a result of the COVID-19 pandemic. The majority (81.1%) reported loss of household income, and half (49.8%) reported worries about losing housing. High levels of food (aPR  = 1.4, 95% CI 1.2, 1.6) and housing (aPR = 1.3, 95% CI 1.2, 1.4) insecurity were the strongest predictors of anxiety/depression. Household and personal experiences with possible COVID-19 symptoms were also associated with anxiety/depression or the need for increased mental health services. Addressing student needs at public urban universities requires an integrated holistic approach that targets urgent mental health and economic needs related to the impact of COVID-19. Students who become infected need mental health services as well as health monitoring.

Adolescents' family obligation and activities in rural and urban Vietnam: Implications for social change.

This study examined how urbanisation may modify adolescents' values and activities concerning family obligation by surveying 572 adolescents (Mage  = 15.75, SD = .73) in rural and urban Vietnam. Compared with their rural peers, urban adolescents reported a stronger sense of family obligation but spent less time actually engaging in family assistance, findings that were partly explained by urban households' less financial hardship and higher parental education levels. As expected, stronger family obligation values were associated with greater family assistance activities across rural and urban Vietnam. However, stronger family obligation values were associated with more study hours only in urban Vietnam, indicating that urbanisation may broaden the meaning of family obligation to encompass the academic domain. Additionally, weaker family obligation values were associated with more employment hours only in rural Vietnam, suggesting that rural adolescents with little attachment to the traditional value of family obligation may pursue autonomy through employment outside the home. In traditionally familistic societies undergoing urbanisation, family obligation may take on different meaning depending on adolescents' ecological settings that construct cultural values and behavioural norms.

Native American Youth Citizen Scientists Uncovering Community Health and Food Security Priorities.

Citizen science based on principles of community-based participatory research involves the co-creation of research among citizens and professional researchers in substantive aspects of scientific inquiry including equitable contributions to governance, research questions, data collection, analysis, application of findings, and dissemination. This article reports on a citizen science project conducted by 12 youth in the Karuk Tribe collaborating with university scientists. The youth participated in a research leadership development program conducted in their community located in rural/remote northern California. The youth led a community health and food security assessment survey using a mobile application tool (n = 212). They uncovered community concerns about the health of residents and healthfulness of food choices in schools, as well as a significant difference related to confidence in making healthy food choices between those who are and are not physically active. The Tribe applied the study findings with youth in alignment with cultural values and practices investing in developing community gardens, improving school food quality, and promoting native food practices that incorporate physical activities such as hiking, gathering, and preserving food. This study offers lessons for research collaborations among citizen scientists from communities underrepresented in health research and university scientists.

Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations.

MOTIVATION: A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity-based methods for predicting drug-target associations based on the array of varying features of drugs and their targets. Deep learning reveals features of vertices of a large network that can be adapted in accommodating the similarity-based solutions to provide a flexible method of drug-target prediction. RESULTS: We propose a similarity-based drug-target prediction method that enhances existing association discovery methods by using a topology-based similarity measure. DeepWalk, a deep learning method, is adopted in this study to calculate the similarities within Linked Tripartite Network (LTN), a heterogeneous network generated from biomedical linked datasets. This proposed method shows promising results for drug-target association prediction: 98.96% AUC ROC score with a 10-fold cross-validation and 99.25% AUC ROC score with a Monte Carlo cross-validation with LTN. By utilizing DeepWalk, we demonstrate that: (i) this method outperforms other existing topology-based similarity computation methods, (ii) the performance is better for tripartite than with bipartite networks and (iii) the measure of similarity using network topology outperforms the ones derived from chemical structure (drugs) or genomic sequence (targets). Our proposed methodology proves to be capable of providing a promising solution for drug-target prediction based on topological similarity with a heterogeneous network, and may be readily re-purposed and adapted in the existing of similarity-based methodologies. AVAILABILITY AND IMPLEMENTATION: The proposed method has been developed in JAVA and it is available, along with the data at the following URL: https://github.com/zongnansu1982/drug-target-prediction . CONTACT: nazong@ucsd.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

12-Month Cost Outcomes of Community Engagement Versus Technical Assistance for Depression Quality Improvement: A Partnered, Cluster Randomized, Comparative-Effectiveness Trial.

Objective: To compare community engagement and planning (CEP) for coalition support to implement depression quality improvement (QI) to resources for services (RS) effects on service-use costs over a 12-month period. Design: Matched health and community programs (N=93) were cluster-randomized within communities to CEP or RS. Setting: Two Los Angeles communities. Participants: Adults (N=1,013) with depressive symptoms (Patient Health Questionnaire (PHQ-8) ≥10); 85% African American and Latino. Interventions: CEP and RS to support programs in depression QI. Main Outcome Measures: Intervention training and service-use costs over 12 months. Results: CEP planning and training costs were almost 3 times higher than RS, largely due to greater CEP provider training participation vs RS, with no significant differences in 12-month service-use costs. Conclusions: Compared with RS, CEP had higher planning and training costs with similar service-use costs.

Comparative Effectiveness of Coalitions Versus Technical Assistance for Depression Quality Improvement in Persons with Multiple Chronic Conditions.

Significance: Prior research suggests that Community Engagement and Planning (CEP) for coalition support compared with Resources for Services (RS) for program technical assistance to implement depression quality improvement programs improves 6- and 12-month client mental-health related quality of life (MHRQL); however, effects for clients with multiple chronic medical conditions (MCC) are unknown. Objective: To explore effectiveness of CEP vs RS in MCC and non-MCC subgroups. Design: Secondary analyses of a cluster-randomized trial. Setting: 93 health care and community-based programs in two neighborhoods. Participants: Of 4,440 clients screened, 1,322 depressed (Patient Health Questionnaire, PHQ8) provided contact information, 1,246 enrolled and 1,018 (548 with ≥3 MCC) completed baseline, 6- or 12-month surveys. Intervention: CEP or RS for implementing depression quality improvement programs. Outcomes and Analyses: Primary: depression (PHQ9 <10), poor MHRQL (Short Form Health Survey, SF-12<40); Secondary: mental wellness, good physical health, behavioral health hospitalization, chronic homelessness risk, work/workloss days, services use at 6 and 12 months. End-point regressions were used to estimate intervention effects on outcomes for subgroups with ≥3 MCC, non-MCC, and intervention-by-MCC interactions (exploratory). Results: Among MCC clients at 6 months, CEP vs RS lowered likelihoods of depression and poor MHRQL; increased likelihood of mental wellness; reduced work-loss days among employed and likelihoods of ≥4 behavioral-health hospitalization nights and chronic homelessness risk, while increasing faith-based and park community center depression services; and at 12 months, likelihood of good physical health and park community center depression services use (each P<.05). There were no significant interactions or primary outcome effects for non-MCC. Conclusions: CEP was more effective than RS in improving 6-month primary outcomes among depressed MCC clients, without significant interactions.

Prospective relations between parent-adolescent acculturation conflict and mental health symptoms among Vietnamese American adolescents.

OBJECTIVES: Intergenerational acculturation conflict in immigrant families has been implicated as a risk factor for adolescent maladjustment. However, the directionality and specific family related mediators of this association have not been identified. The present study prospectively examined relations between adolescent reports of perceived acculturation conflict and internalizing and externalizing mental health symptoms. Perceived parent-adolescent relationship strain and perceived parental psychological control were examined as potential mediators. METHOD: Survey measures were administered to 375 Vietnamese American adolescents (48.8% males; M = 15.55 years, SD = .59) at 3 time points over 6 months. RESULTS: Using cross-lagged path analysis, perceived acculturation conflict predicted externalizing symptoms, whereas internalizing symptoms predicted perceived acculturation conflict. Perceived maternal psychological control mediated the association between perceived acculturation conflict and later externalizing symptoms, whereas maternal psychological control, parental unresponsiveness, and unmet parent expectations mediated the association between internalizing symptoms and later acculturation conflict. CONCLUSION: Culturally competent enhancement of parental sensitivity and responsiveness might be targeted as a modifiable protective factor in family-based preventive interventions for at-risk immigrant families. (PsycINFO Database Record