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Objective: Advanced algorithmic methods may improve the assessment of performance validity during neuropsychological testing. This study investigated whether unsupervised machine learning (ML) could serve as one such method. Method: Participants were 359 adult outpatients who underwent a neuropsychological evaluation for various referral reasons. Data relating to participants' performance validity test scores, medical and psychiatric history, referral reason, litigation status, and disability status were examined in an unsupervised ML model. The model was programmed to synthesize the data into an unspecified number of clusters, which were then compared to predetermined ratings of whether patients had valid or invalid test performance. Ratings were established according to multiple empirical performance validity test scores. To further understand the model, we examined which data were most helpful in its clustering decision-making process. Results: Similar to the clinical determination of patients' performance on neuropsychological testing, the model identified a two-cluster profile consisting of valid and invalid data. The model demonstrated excellent predictive accuracy (area under the curve of .92 [95% CI .88, .97]) when referenced against participants' predetermined validity status. Performance validity test scores were the most influential in the differentiation of clusters, but medical history, referral reason, and disability status were also contributory. Conclusions: These findings serve as a proof of concept that unsupervised ML can accurately assess performance validity using various data obtained during a neuropsychological evaluation. The manner in which unsupervised ML evaluates such data may circumvent some of the limitations with traditional validity assessment approaches. Importantly, unsupervised ML is adaptable to emerging digital technologies within neuropsychology that can be used to further improve the assessment of performance validity.

In LGBTQIA+ adults, 36% are parents, but there are a limited number of parenting scales that have undergone psychometric evaluation in LGBTQIA+ parents. This study assessed the Multidimensional Assessment of Parenting Scale (MAPS) in LGBTQIA+ parents, addressing a gap in parenting scales considering both positive and negative aspects for this group. Our study includes two racially and ethnically diverse national samples of parents ( n = 2,299, mean age = 37.05 years, 32.84% LGBTQIA+). We explored measurement invariance between LGBTQIA+ and non-LGBTQIA+ parents. The analysis revealed a modest fit for configural and metric invariance, indicating the MAPS structure and item loadings were consistent across groups, although scalar invariance was only partially supported. Subscales showed good internal consistency for both parent groups. Importantly, following false discovery rate corrections, interactions between LGBTQIA+ status and specific MAPS subscales (supportiveness, physical control) were significantly, but differentially, related to various child psychopathology dimensions, suggesting parenting impacts may differ for LGBTQIA+ families. These findings underscore the importance of including LGBTQIA+ perspectives in parenting research to develop tailored interventions that address their unique strengths and challenges. Acknowledging and supporting the diverse experiences of LGBTQIA+ parents can enhance targeted resources and interventions, contributing to better outcomes for all families., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: The current study uses a nationally representative longitudinal dataset of sexual minority adults in the US to investigate the pathways from adverse childhood experiences (ACEs) to adulthood suicidal thoughts and behaviors., Methods: ACEs were measured at year one, potential mediators at year two, and suicidal thoughts and behaviors (suicidal ideation, intent, plan, and attempt) at year three. We conducted an exploratory mediation analysis to identify potential mediating factors linking ACEs to suicidal thoughts and behaviors. Ten candidate mediators were examined: social well-being, felt stigma, experiences of everyday discrimination, social support, psychological distress, alcohol and drug use, importance of sexual identity, community connection, and internalized homophobia., Results: Participants were 1518 adults who identified as lesbian or gay (n = 833; 55 %), bisexual (n = 493; 33 %), or with other sexual minority identities (n = 181; 12 %) and were on average 36.48 years (SD = 14.7) of age. Psychological distress served as a common mediator between ACEs and suicidal ideation, intent, plan, and attempt. Additionally, experiences of everyday discrimination emerged as a specific mediator leading to suicidal intent, whereas social support uniquely mediated the relation between ACEs and suicide plan., Limitations: Potential recall bias due to retrospective reporting of ACEs may be a limitation. Future studies should broaden the measurement scope of ACEs and implement intersectional methods., Conclusion: The current findings underscore the urgent need for targeted interventions that address the specific mental health needs of sexual minority individuals, particularly focusing on mitigating psychological distress, combating systemic discrimination, and enhancing social support., Competing Interests: Declaration of competing interest All authors declare no conflicts of interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objectives: This study investigated the Wechsler Adult Intelligence Scale-Fourth Edition Letter-Number Sequencing (LNS) subtest as an embedded performance validity indicator among adults undergoing an attention-deficit/hyperactivity disorder (ADHD) evaluation, and its potential incremental value over Reliable Digit Span (RDS). Method: This cross-sectional study comprised 543 adults who underwent neuropsychological evaluation for ADHD. Patients were divided into valid ( n  = 480) and invalid ( n  = 63) groups based on multiple criterion performance validity tests. Results: LNS total raw scores, age-corrected scaled scores, and age- and education-corrected T-scores demonstrated excellent classification accuracy (area under the curve of .84, .83, and .82, respectively). The optimal cutoff for LNS raw score (≤16), age-corrected scaled score (≤7), and age- and education-corrected T-score (≤36) yielded .51 sensitivity and .94 specificity. Slightly lower sensitivity (.40) and higher specificity (.98) was associated with a more conservative T-score cutoff of ≤33. Multivariate models incorporating both LNS and RDS improved classification accuracy (area under the curve of .86), and LNS scores explained a significant but modest proportion of variance in validity status above and beyond RDS. Chaining LNS T-score of ≤33 with RDS cutoff of ≤7 increased sensitivity to .69 while maintaining ≥.90 specificity. Conclusions: Findings provide preliminary evidence for the criterion and construct validity of LNS as an embedded validity indicator in ADHD evaluations. Practitioners are encouraged to use LNS T-score cutoff of ≤33 or ≤36 to assess the validity of obtained test data. Employing either of these LNS cutoffs with RDS may enhance the detection of invalid performance.

Public health initiatives in Zambia encourage the uptake of early infant male circumcision (EIMC) as an HIV prevention strategy. This study assessed EIMC parental decision-making during perinatal care in Lusaka, Zambia, focusing on the influence of sociodemographic factors, family, and friends. A longitudinal pilot perinatal intervention, Like Father Like Son (LFLS), was implemented among 300 couples attending antenatal clinics in four urban community health centers. Participants were assessed postpartum regarding subsequent EIMC decisions. Partners, religion, and marital status were associated with the EIMC decision-making. Large scale EIMC promotion interventions that target both parents during perinatal care should be explored., (© 2024. The Author(s).)

Parenting predicts a wide range of developmental outcomes. Thus, improved assessment of parenting has critical implications for screening into services, identifying additional needs during interventions, and monitoring intervention progress. While there is rising interest in family research focusing on racial and ethnic diversity, there is an unmet need for valid, reliable, and equitable assessments of parenting in racially and ethnically diverse populations. The Multidimensional Assessment of Parenting Scale (MAPS) is a measure of parenting with strong psychometric properties. Despite its high utility, the MAPS is limited in that it was developed in a predominantly White sample (87%). Yet, minoritized racial and ethnic groups currently comprise 40% of the U.S. population. Therefore, this project extended the utility of the MAPS to racially and ethnically diverse families by (a) refining MAPS items using n = 100 cognitive interviews with parents from racially and ethnically diverse backgrounds to enhance racial and ethnic representation, (b) quantitatively establishing the Revised MAPS factor structure, and (c) assessing reliability, validity, and measurement invariance by race and ethnicity among N = 1,699 parents (25.2% non-Hispanic White, 22.2% non-Hispanic Asian, 23.8% non-Hispanic Black, and 25.6% Hispanic). Following revisions guided by cognitive interviews to improve and add items, the factor structure of the MAPS was replicated in the Revised MAPS. Further, measurement invariance, reliability, and validity of the Revised MAPS were partially supported. Using a multimethod approach, this revision increases the utility of the MAPS by extension to this historically underrepresented segment of the U.S. population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Adverse childhood experiences (ACEs) are associated with a range of negative health outcomes, including attention-deficit/hyperactivity disorder (ADHD) and neurocognitive deficits. This study identified symptom profiles in adult patients undergoing neuropsychological evaluations for ADHD and examined the association between these profiles and ACEs., Methods: Utilizing unsupervised machine learning models, the study analyzed data from 208 adult patients., Results: The Gaussian Mixture Model revealed two distinct symptom profiles: "Severely Impaired" and "Moderately Impaired". The "Severely Impaired" profile, 23.6% of the sample, was characterized by more severe ADHD symptomatology in childhood and worse neurocognitive performance. The "Moderately Impaired" profile, 76.4% of the sample, had scores in the average range for self-reported internalizing and externalizing psychopathology and better neurocognitive performance. There was a greater number of ACEs reported by patients in the Severely Impaired profile than the Moderately Impaired profile (p = .022). Specifically, using an ACEs cutoff of ≥4, 53.1% of patients in the Severely Impaired profile reported four or more ACEs, compared with 34.6% in the Moderately Impaired profile (p = .020). Profiles were not related to clinician-ascribed diagnosis., Conclusions: Findings underscore the association between ACEs and worse symptom profiles marked by impaired neurocognitive function, increased internalizing and externalizing psychopathology, and heightened perceived stress in adults with ADHD. Future research may explore the effect of ACEs on symptom profiles in diverse populations and potential moderators or mediators of these associations. Findings offers valuable insights for clinicians in their assessment and treatment planning., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Attention-deficit/hyperactivity disorder (ADHD) is associated with various cognitive, behavioral, and mood symptoms that complicate diagnosis and treatment. The heterogeneity of these symptoms may also vary depending on certain sociodemographic factors. It is therefore important to establish more homogenous symptom profiles in patients with ADHD and determine their association with the patient's sociodemographic makeup. The current study used unsupervised machine learning to identify symptom profiles across various cognitive, behavioral, and mood symptoms in adults with ADHD. It was then examined whether symptom profiles differed based on relevant sociodemographic factors., Methods: Participants were 382 adult outpatients (62% female; 51% non-Hispanic White) referred for neuropsychological evaluation for ADHD., Results: Employing Gaussian Mixture Modeling, we identified two distinct symptom profiles in adults with ADHD: "ADHD-Plus Symptom Profile" and "ADHD-Predominate Symptom Profile." These profiles were primarily differentiated by internalizing psychopathology (Cohen's d  = 1.94-2.05), rather than by subjective behavioral and cognitive symptoms of ADHD or neurocognitive test performance. In a subset of 126 adults without ADHD who were referred for the same evaluation, the unsupervised machine learning algorithm only identified one symptom profile. Group comparison analyses indicated that female patients were most likely to present with an ADHD-Plus Symptom Profile ( χ2  = 5.43, p < .001)., Conclusion: The machine learning technique used in this study appears to be an effective way to elucidate symptom profiles emerging from comprehensive ADHD evaluations. These findings further underscore the importance of considering internalizing symptoms and patients' sex when contextualizing adult ADHD diagnosis and treatment.

Male circumcision is a protective HIV prevention strategy. However, uncircumcised Zambian men are reluctant to undergo voluntary medical male circumcision (VMMC). Tailored interventions are necessary to stimulate the uptake of early infant male circumcision (EIMC) and VMMC in Zambia. This feasibility study presents the formative process of utilising the PRECEDE framework in the development of a family-centred EIMC/VMMC intervention, Like Father Like Son, and its application in an existing VMMC intervention, Spear & Shield. We found that fear of the pain associated with EIMC procedures, foreskin disposal, beliefs in children's autonomy and rights, and men's dominance in health decision-making were factors affecting EIMC uptake. Perceived benefits for infants included improved hygiene, protection from HIV infection, and faster recovery. Reinforcing factors included female partners and fathers' MC status. The availability and access to EIMC services and information, skill and experience of health workers, and engagement and belief in traditional circumcision practices were factors enabling EIMC uptake. These individual, interpersonal, and structural factors positively and negatively influencing EIMC uptake in the Zambian clinic context were integrated into the intervention for expecting parents. Feedback from community advisory boards suggested the process was effective in developing a culturally tailored and acceptable EIMC/VMMC promotion intervention.

Parenting has been implicated in a range of youth health outcomes. Positive parenting during adolescence, a critical period of developmental change, may equip youth with the necessary tools for their transition into adulthood and, for youth living with HIV, their transition from pediatric HIV care into adult HIV care. Yet, because few studies have carefully assessed the psychometric properties of parenting instruments applied cross-culturally, the validity of parenting research derived in these contexts remains unclear. This study tested the factor structure of the Children's Report of Parenting Behavior Inventory (CRPBI) in a novel setting (e.g., Rwanda), context (e.g., youth with HIV), and considering multiple informants (caregivers and youth). Youth ( N = 330) were on average 16.78 years of age; 51% self-identified as female. Caregivers ( N = 330) were on average 44.40 years of age; 80% self-identified as female. The factor structures for youth and caregiver CRPBIs appeared to be indicative of two dimensions: (a) acceptance and positive involvement, and (b) hostile detachment and rejection. The CRPBI worked well for youth reports and showed predictive validity. The CRPBI worked less well for caregivers, necessitating the removal of 10 items, seven of which were related to hostile detachment and rejection. The reliability of both CRPBIs was supported. The CRPBI appears to function well for youth, but not as well for caregivers, in this novel context with this unique population of youth with HIV. The findings support careful assessment of instruments developed in high-resource settings and then used in resource-constrained contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Introduction: This study used an unsupervised machine learning algorithm, sidClustering and random forests, to identify clusters of risk behaviors of Bacterial Vaginosis (BV), the most common cause of abnormal vaginal discharge linked to STI and HIV acquisition.  METHODS: Participants were 391 cisgender women in Miami, Florida, with a mean of 30.8 (SD = 7.81) years of age; 41.7% identified as Hispanic; 41.7% as Black and 44.8% as White. Participants completed measures of demographics, risk behaviors [sexual, medical, and reproductive history, substance use, and intravaginal practices (IVP)], and underwent collection of vaginal samples; 135 behavioral variables were analyzed. BV was diagnosed using Nugent criteria., Results: We identified four clusters, and variables were ranked by importance in distinguishing clusters: Cluster 1: nulliparous women who engaged in IVPs to clean themselves and please sexual partners, and used substances frequently [n = 118 (30.2%)]; Cluster 2: primiparous women who engaged in IVPs using vaginal douches to clean themselves (n = 112 (28.6%)]; Cluster 3: primiparous women who did not use IVPs or substances [n = 87 (22.3%)]; and Cluster 4: nulliparous women who did not use IVPs but used substances [n = 74 (18.9%)]. Clusters were related to BV (p < 0.001). Cluster 2, the cluster of women who used vaginal douches as IVPs, had the highest prevalence of BV (52.7%)., Conclusions: Machine learning methods may be particularly useful in identifying specific clusters of high-risk behaviors, in developing interventions intended to reduce BV and IVP, and ultimately in reducing the risk of HIV infection among women., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Parenting significantly influences youth development, yet there's a dearth of research on measuring parenting among LGBTQIA+ caregivers, or caregivers of LGBTQIA+ children (hereafter LGBTQIA+ families). In this systematic review we identified and evaluated the psychometrics of parenting scales validated for this population. The inclusion criteria encompassed studies with LGBTQIA+ families in major databases and secondary sources, psychometric assessment, and English language. Eight studies validating ten scales measuring parenting practices, parental attitudes, beliefs, and perceptions were identified. Generally, studies reported promising psychometrics, showing evidence of construct validity in all and reliability in seven. However, the review also unveiled crucial gaps: a paucity of scales validated among LGBTQIA+ fathers, and predominantly featured non-Hispanic White participants. Findings underscore the necessity for more inclusive samples that reflect the diversity of LGBTQIA+ families. The validation of parenting scales is crucial for understanding parenting in LGBTQIA+ families and developing parenting interventions to promote their well-being., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Despite compelling evidence linking voluntary medical male circumcision (VMMC) with 60-70% HIV risk reduction in sub-Saharan Africa, Zambian men have been especially reluctant to undergo VMMC. The Government of Zambia set targets for VMMC uptake and promoted community-level interventions. Spear & Shield (S&S) is an innovative, evidence-based, service program promoting VMMC uptake while ensuring both VMMC supply and demand. This study assessed the large-scale provincial rollout of the program (S&S2) utilizing the RE-AIM model for translating interventions into the community. The S&S2 study was conducted between November 2015 and December 2020, and sequentially rolled out over four Zambian provinces in 96 clinics; 24 observation clinics received VMMC training only. Local clinic healthcare workers were trained to conduct the VMMC procedure and HIV counselors were trained to lead S&S group sessions. Using the RE-AIM model, primary outcomes were: Reach, the number, proportion, and representativeness of S&S attendees; Effectiveness, the impact of S&S2 on VMMC uptake; Adoption, the number, proportion, and representativeness of clinics implementing S&S2; Implementation, fidelity to the S&S intervention manual; and Maintenance, the extent to which S&S2 became an element of standard care within community clinics. Initially, n = 109 clinics were recruited; 96 were sustained and randomized for activation (Adoption). A total of 45,630 clinic patients (n = 23,236 men and n = 22,394 women) volunteered to attend the S&S sessions (Reach). The S&S2 program ran over 2,866 clinic-months (Implementation). Although the study did not target individual-level VMMCs, ~58,301 additional VMMCs were conducted at the clinic level (Effectiveness). Fidelity to the S&S intervention by group leaders ranged from 42%-95%. Sustainability of the program was operationalized as the number of CHCs initially activated that sustained the program. Intervention delivery ended, however, when study funding ceased (Maintenance). The S&S2 program successfully utilized the RE-AIM model to achieve study goals for implementation and dissemination in four Zambian provinces. Innovative VMMC programs such as S&S2 can improve the uptake of VMMC, one of the most effective strategies in the HIV prevention arsenal., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Weiss et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: Adverse childhood experiences (ACEs) are early life experiences that influence mental health outcomes, though there are mixed findings reported in relation to attention deficit hyperactivity disorder (ADHD) symptoms. The current study compared adults who experienced ACEs on measures of ADHD symptom reporting, psychological symptoms, and neurocognitive test performance., Method: The sample ( n  = 115) had mean age of 28.42 ( SD  = 6.46); educational attainment of 16.47 years ( SD  = 1.99); and was 35% male/65% female and racially/ethnically diverse. Participants completed measures of ACEs, ADHD symptoms, psychopathology, and perceived stress, as well as neuropsychological tests., Results: The high ACEs group endorsed higher levels of childhood/adulthood inattentive, impulsive, and hyperactive symptoms, and overall childhood symptoms when compared to the low ACEs group., Conclusions: This study provides a more comprehensive understanding of the association between ACEs and cognitive/mental health outcomes. Greater ACEs resulted in higher ADHD symptom reporting but not significantly greater psychological symptoms or worse neurocognitive performance., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.