Prevalence and predictors of female sexual dysfunction among sexually active women in the diabetes prevention program outcomes study.

OBJECTIVE: To determine the burden and identify correlates of female sexual dysfunction (FSD) among women with prediabetes (PreD) and type 2 diabetes (T2D) enrolled in the Diabetes Prevention Program (DPP) Outcomes Study (DPPOS). METHODS: The DPPOS visit included the Female Sexual Function Index (FSFI) to determine sexual function. Of 1464 participants, 1320 (90%) completed the (FSFI) and 426 were sexually active. A backward selection multivariable logistic regression model estimated the odds of FSD for sociodemographic, clinical, and diabetes-related covariates. RESULTS: One hundred and eighty-five (43%) had a score of ≤26.55 and met the criteria for FSD. After adjustment for DPP treatment and age, urinary incontinence (UI) (odds ratio [OR] = 1.91, 95% confidence interval [CI] = 1.15-3.17) and hysterectomy (OR = 1.89, 95% CI = 1.01-3.53) were associated with increased odds of FSD. Increased body mass index was protective for FSD (OR = 0.93 per kg/m2, 95% CI = 0.89-0.96). Michigan Neuropathy Screening Instrument-based peripheral neuropathy (mean±SD scores 1.1±1.3 vs. 0.9±1.1, p < 0.0001) and Electrocardiogram (ECG)-based autonomic dysfunction measures (mean ± SD heart rate levels 64.3 ± 6.8 vs. 65.6 ± 10.2, p = 0.008) were associated with FSD. There were no differences in diabetes rates between women who did (66.5%) and did not (66%) have (p = 0.7). CONCLUSIONS: FSD is prevalent in women with PreD and T2D. Our findings suggest that FSD is associated with neuropathic complications commonly observed in PreD and T2D.

The influence of social and environmental determinants of health on hospitalizations for pediatric asthma.

BACKGROUND: Asthma is the most common chronic disease of childhood, and has several social, environmental, and demographic factors potentially influential to its disease burden. This study sought to determine the influence of these factors on hospital admissions and readmissions for pediatric asthma. METHODS: This was a retrospective cohort study using data from the Indiana Network for Patient Care, a state-wide health information exchange in the United States. Study participants were children 2-18 years old admitted to the hospital with a respiratory diagnostic code between 2010 and 2021. Clinical variables were obtained from electronic health record data, and social and environmental determinants of health data were obtained from the Indiana Social Assets and Vulnerabilities Indicators using geocoding systems. Negative binomial models were used to examine community level social and environmental risk factors modifying the relationship between patient characteristics and the risk of asthma-related hospitalizations and 30-day readmissions. RESULTS: The study sample included 25,063 patients with an average follow-up of 9 (SD = 5) years. Of these, there were 17,816 asthma-related admissions. There were a total of 1,037 asthma-related 30-day readmissions, with an incidence rate of readmissions relative to total visits of 0.028 per person-year. A high social vulnerability index (SVI) was associated with an increased rate of hospital admissions (Proportion attributable ratio: 1.09, 95%CI (1.03,1.15), p < 0.05). No environmental determinants of health were significantly associated with hospitalization rate. CONCLUSION: High SVI was significantly associated with increased risk of total hospital admissions for pediatric asthma.

Service Utilization among Persons Who Inject Drugs Attending a Syringe Exchange Program in New York State.

BACKGROUND: Epidemiologic studies commonly recommend the integration of harm reduction programs with health and social services to improve the well-being of persons who inject drugs (PWIDs). This study identified service utilization clusters for PWIDs attending a syringe exchange program (SEP) in 2017 to better understand in-house service usage. METHODS: We applied Multiple Correspondence Analysis and Hierarchical Clustering on Principal Components to classify 475 PWIDs into clusters using anonymized, SEP records data from New York. Multinomial logistic regression was used to identify sociodemographic and program engagement correlates of cluster membership. RESULTS: Only 22% of participants utilized at least one service. We identified three clusters of service utilization defined by 1) Nonuse; 2) Support, Primary Care, & Maintenance service use; and 3) HIV/STD, Support, Primary Care, & Maintenance service use. Cluster 2 members were less likely to be living alone compared to Cluster 1 (AOR = 0.08, 95% CI: 0.04, 0.17) while Cluster 3 members were less likely to be White (AOR = 0.19, 95% CI: 0.07, 0.50) or living alone (AOR = 0.16, 95% CI: 0.06, 0.44) and more likely to be Medicaid recipients (AOR = 2.89, 95% CI: 1.01, 8.36) compared to Cluster 1. Greater than one SEP interaction, lower syringe return ratios, and being a long-term client increased the odds of service utilization. DISCUSSION: Overall, PWID clients had a low prevalence of in-house service use particularly those who live alone. However, higher service utilization was observed among more vulnerable populations (i.e., non-White and LGBT). Future research is needed to profile services used outside of the SEP.

Bifidobacteriumlongum subsp. infantis EVC001 Administration Is Associated with a Significant Reduction in the Incidence of Necrotizing Enterocolitis in Very Low Birth Weight Infants.

OBJECTIVE: To assess the effects of Bifidobacteriumlongum subsp. infantis EVC001 (Binfantis EVC001) administration on the incidence of necrotizing enterocolitis (NEC) in preterm infants in a single level IV neonatal intensive care unit (NICU). STUDY DESIGN: Nonconcurrent retrospective analysis of 2 cohorts of very low birth weight (VLBW) infants not exposed and exposed to Binfantis EVC001 probiotic at Oregon Health & Science University from 2014 to 2020. Outcomes included NEC incidence and NEC-associated mortality, including subgroup analysis of extremely low birth weight (ELBW) infants. Log-binomial regression models were used to compare the incidence and risk of NEC-associated outcomes between the unexposed and exposed cohorts. RESULTS: The cumulative incidence of NEC diagnoses decreased from 11.0% (n = 301) in the no EVC001 (unexposed) cohort to 2.7% (n = 182) in the EVC001 (exposed) cohort (P < .01). The EVC001 cohort had a 73% risk reduction of NEC compared with the no EVC001 cohort (adjusted risk ratio, 0.27; 95% CI, 0.094-0.614; P < .01) resulting in an adjusted number needed to treat of 13 (95% CI, 10.0-23.5) for Binfantis EVC001. NEC-associated mortality decreased from 2.7% in the no EVC001 cohort to 0% in the EVC001 cohort (P = .03). There were similar reductions in NEC incidence and risk for ELBW infants (19.2% vs 5.3% [P < .01]; adjusted risk ratio, 0.28; 95% CI, 0.085-0.698 [P = .02]) and mortality (5.6% vs 0%; P < .05) in the 2 cohorts. CONCLUSIONS: In this observational study of 483 VLBW infants, Binfantis EVC001 administration was associated with significant reductions in the risk of NEC and NEC-related mortality. Binfantis EVC001 supplementation may be considered safe and effective for reducing morbidity and mortality in the NICU.

Risk of Type 2 Diabetes Among Individuals with Excess Weight: Weight Trajectory Effects.

PURPOSE OF REVIEW: Increased risk of type 2 diabetes mellitus (T2D) among individuals with overweight or obesity is well-established; however, questions remain about the temporal dynamics of weight change (gain or loss) on the natural course of T2D in this at-risk population. Existing epidemiologic evidence is limited to studies that discretely sample and assess excess weight and T2D risk at different ages with limited follow-up, yet changes in weight may have time-varying and possibly non-linear effects on T2D risk. Predicting the impact of weight change on the risk of T2D is key to informing primary prevention. We critically review the relationship between weight change, trajectory groups (i.e., distinct weight change patterns), and T2D risk among individuals with excess weight in recently published T2D prevention randomized controlled trials (RCTs) and longitudinal cohort studies. RECENT FINDINGS: Overall, weight trajectory groups have been shown to differ by age of onset, sex, and patterns of insulin resistance or beta-cell function biomarkers. Lifestyle (diet and physical activity), pharmacological, and surgical interventions can modify an individual's weight trajectory. Adolescence is a critical etiologically relevant window during which onset of excess weight may be associated with higher risk of T2D. Changes in insulin resistance and beta-cell function biomarkers are distinct but related correlates of weight trajectory groups that evolve contemporaneously over time. These multi-trajectory markers are differentially associated with T2D risk. T2D risk may differ by the age of onset and duration of excess body weight, and the type of weight loss intervention. A better understanding of the changes in weight, insulin sensitivity, and beta-cell function as distinct but related correlates of T2D risk that evolve contemporaneously over time has important implications for designing and targeting primary prevention efforts.

Childhood wheeze trajectory-specific risk factors: A systematic review and meta-analysis.

BACKGROUND: There is growing interest in the use of latent trajectory methodology to identify wheeze patterns in heterogeneous populations of children. This study systematically reviewed and meta-analyzed childhood wheeze trajectory studies to identify childhood wheeze trajectory group-specific risk factors among children from birth through to adolescence. METHODS: We included studies that used latent trajectory methodology to identify wheeze trajectories and associated risk factors. We searched PubMed, EMBASE, and Google Scholar from 2000 through September 30, 2019, for relevant studies. The study was conducted according to the PRISMA recommendations. RESULTS: Thirteen cohort studies conducted in eleven high-income countries were included in our meta-analysis with the length of follow-up ranging from 3 to 18 years. Five distinct latent wheeze trajectory groups were identified: Never/Infrequent, Early-Transient, Early-Persistent, Intermediate-Onset, and Late-Onset. We found moderate-to-strong evidence that family history of asthma predicted persistent childhood wheezing among male children but with lower risk among first-born children. There was weak-to-moderate evidence for childhood atopy, male sex, short duration of breastfeeding, tobacco exposure, daycare attendance, and having siblings as risk factors for Early-Transient wheezing; except for breastfeeding, these factors were also associated with intermediate and Late-Onset wheezing with varying effect sizes in high-risk vs general population cohorts. CONCLUSIONS: Our findings confirm the consistency of wheeze trajectory groups defined by onset, peak prevalence, and duration; we also suggest a common nomenclature for future trajectory studies. With the exception of the relationship between a family history of asthma and persistent childhood wheezing, commonly suspected wheeze risk factors (childhood atopy, male sex, short duration of breastfeeding, tobacco exposure, daycare attendance, and having siblings) are not trajectory-specific and have varying effects in high-risk vs general population cohorts. Delineation of time-varying risk factor effects may be critical to the specificity of wheeze trajectory group prediction to better inform prognosis and targeted early preventive intervention among at-risk children.

Decision tree-based rules outperform risk scores for childhood asthma prognosis.

BACKGROUND: There are no widely accepted prognostic tools for childhood asthma; this is in part due to the multifactorial and time-dependent nature of mechanisms and risk factors that contribute to asthma development. Our study objective was to develop and evaluate the prognostic performance of conditional inference decision tree-based rules using the Pediatric Asthma Risk Score (PARS) predictors as an alternative to the existing logistic regression-based risk score for childhood asthma prediction at 7 years in a high-risk population. METHODS: The Canadian Asthma Primary Prevention Study data were used to develop, compare, and contrast the prognostic performance (area under the curve [AUC], sensitivity, and specificity) of conditional inference tree-based decision rules to the pediatric asthma risk score for the prediction of childhood asthma at 7 years. RESULTS: Conditional inference decision tree-based rules have higher prognostic performance (AUC: 0.85; 95% CI: 0.81, 0.88; sensitivity = 47%; specificity = 93%) than the pediatric asthma risk score at an optimal cutoff of ≥6 (AUC: 0.71; 95% CI: 0.67, 0.76; sensitivity = 60%; specificity = 74%). Moreover, the pediatric asthma risk score is not linearly related to asthma risk, and at any given pediatric asthma risk score value, different combinations of its pediatric asthma risk score clinical variables differentially predict asthma risk. CONCLUSION: Conditional inference tree-based decision rules could be a useful childhood asthma prognostic tool, providing an alternative way to identify unique subgroups of at-risk children, and insights into associations and effect mechanisms that are suggestive of appropriate tailored preventive interventions. However, the feasibility and effectiveness of such decision rules in clinical practice is warranted.

Virologic response of treatment experienced HIV-infected Ugandan children and adolescents on NNRTI based first-line regimen, previously monitored without viral load.

BACKGROUND: Many HIV-infected African children gained access to antiretroviral treatment (ART) through expansion of PEPFAR programs since 2004 and introduction of "Test and Treat" WHO guidelines in 2015. As ART access increases and children transition from adolescence to adulthood, treatment failure is inevitable. Viral load (VL) monitoring in Uganda was introduced in 2016 replacing clinical monitoring. However, there's limited data on the comparative effectiveness of these two strategies among HIV-infected children in resource-limited settings (RLS). METHODS: HIV-infected Ugandan children aged 1-12 years from HIV-care programs with > 1 year of first-line ART using only immunologic and clinical criteria to monitor response to treatment were screened in 2010. Eligible children were stratified by VL ≤ 400 and > 400 copies/ml randomized to clinical and immunological (control) versus clinical, immunological and VL monitoring to determine treatment failure with follow-up at 12, 24, 36, and 48 weeks. Plasma VL was analyzed retrospectively for controls. Mixed-effects logistic regression models were used to compare the prevalence of viral suppression between study arms and identify factors associated with viral suppression. RESULTS: At baseline all children (n = 142) were on NNRTI based ART (75% Nevirapine, 25% efavirenz). One third of ART-experienced children had detectable VL at baseline despite high CD4%. Median age was 6 years (interquartile range [IQR]: 5-9) and 43% were female. Overall, the odds of viral suppression were not different between study arms: (arm by week interaction, p = 0.63), adjusted odds ratio [aOR]: 1.07; 95%CI: 0.53, 2.17, p = 0.57) and did not change over time (aOR: 0 vs 24 week: 1.15; 95% CI: 0.91, 1.46, p = 0.24 and 0 vs 48 weeks: 1.26; 95%CI: 0.92, 1.74, p = 0.15). Longer duration of a child's ART exposure was associated with lower odds of viral suppression (aOR: 0.61; 95% CI: 0.42, 0.87, p < .01). Only 13% (9/71) of children with virologic failure were switched to second-line ART, in spite of access to real-time VL. CONCLUSION: With increasing ART exposure, viral load monitoring is critical for early detection of treatment failure in RLS. Clinicians need to make timely informed decisions to switch failing children to second-line ART. TRIAL REGISTRATION: ClinicalTrials.gov NCT04489953 , 28 Jul 2020. Retrospectively registered. ( https://register.clinicaltrials.gov ).

Frailty and Biomarkers of Frailty Predict Outcome in Veterans After Open and Endovascular Revascularization.

BACKGROUND: Frailty predicts poor outcome after vascular surgery. We determined the predictive utility of the modified frailty index (mFI) after first-time revascularization and identified biomarkers of frailty predictive of outcome in veterans with peripheral arterial disease. METHODS: A retrospective study was performed of first-time revascularizations (open surgery [OS] and endovascular surgery [ES]) in male veterans (2003-2016). Preoperative mFI scores were calculated, and serum and nonserum biomarkers of frailty were recorded. The primary endpoint was 2-y incidence of reintervention, amputation, and mortality. Secondary endpoints included 30-day morbidity and readmissions. RESULTS: Four hundred and thirty one patients (OS, n = 188; ES, n = 243), mean age of 66 ± 9 y, and 16 mo of median follow-up were studied. Mean mFI was 0.39 ± 0.16 for OS and 0.38 ± 0.15 for ES (P = 0.43). 30-day complications (adjusted odds ratio, 4.89; 95% confidence interval [CI]: 1.67-14.33) and readmissions (adjusted hazard ratio [aHR] 3.32; 95% CI: 1.16-9.55) were increased in the OS versus ES group when stratified by mFI. Survival analysis showed a correlation between risk of amputation, death, and composite outcome with increasing mFI (P < 0.005) in both groups. Frailty independently predicted major amputation (aHR 2.16; 1.06-4.39), mortality (aHR 2.62; 95% CI: 1.17-5.88), and composite outcome (aHR 1.97; 95% CI: 1.06-3.68) when the groups are combined. Except for absolute neutrophil count, all preoperative lab values correlated with mFI (P < 0.5). Higher albumin was independently associated with lower risk of amputation (aHR: 0.58 [0.36-0.94]) and mortality (aHR: 0.45 [0.25-0.83]); higher hemoglobin predicted limb salvage (aHR 0.7 [0.62-0.84]). CONCLUSIONS: Frailty predicts short- and long-term outcomes after first-time revascularization in veterans. Hypoalbuminemia and anemia are associated with higher mFI and independently predict poor outcome, suggesting albumin and hemoglobin are viable biomarkers of frailty in veterans.

Wheeze trajectories are modifiable through early-life intervention and predict asthma in adolescence.

BACKGROUND: The objectives of this study were to identify developmental trajectories of wheezing using data-driven methodology, and to examine whether trajectory membership differentially impacts the effectiveness of primary preventive efforts that target modifiable asthma risk factors. METHODS: Secondary analysis of the Canadian Asthma Primary Prevention Study (CAPPS), a multifaceted prenatal intervention among children at high risk of asthma, followed from birth to 15 years. Wheezing trajectories were identified by latent class growth analysis. Predictors, intervention effects, and asthma diagnoses were examined between and within trajectory groups. RESULTS: Among 525 children, 3 wheeze trajectory groups were identified: Low-Progressive (365, 69%), Early-Transient (52, 10%), and Early-Persistent (108, 21%). The study intervention was associated with lower odds of Early-Transient and Early-Persistent wheezing (P < .01). Other predictors of wheeze trajectories included, maternal asthma, maternal education, city of residence, breastfeeding, household pets, infant sex and atopy at 12 months. The odds of an asthma diagnosis were three-fold to six-fold higher in the Early-Persistent vs Low-Progressive group at all follow-up assessments (P = .03), whereas Early-Transient wheezing (limited to the first year) was not associated with asthma. In the Early-Persistent group, the odds of wheezing were lower among intervention than control children (adjusted odds ratio: 0.67; 95% CI: 0.48; 0.93) at 7 years. CONCLUSIONS: Using data-driven methodology, children can be classified into clinically meaningful wheeze trajectory groups that appear to be programmed by modifiable and non-modifiable factors, and are useful for predicting asthma risk. Early-life interventions can alter some wheeze trajectories (ie, Early-Persistent) in infancy and reduce wheezing prevalence in mid-childhood.

Obesity modifies the association between diabetes and iron biomarkers and red cell indices in reproductive-aged women in the United States.

Obesity and diabetes are associated with impaired iron metabolism. We aimed to examine the independent relationship between diabetes and iron after controlling for body weight (or obesity) in women aged 20-49 years. The National Health and Nutrition Examination Survey data from 2015 to 2018 were used in this investigation. Body composition data, HbAc1, iron biomarkers (serum ferritin (SF), soluble transferrin receptor (sTfR), and body iron index (BII)), mean corpuscular volume (MCV), mean hemoglobin concentration (MCH), red cell distribution width (RDW), and hemoglobin were used. Linear regression models were used to examine how and to what extent body mass index (BMI) modified the relationship between diabetes and iron status biomarkers. A total of 1834 women aged 20-49 were included in the analysis with a mean (SD) age of 32 .2 ± 6.1 years and BMI of 29.5 ± 6.9 kg/m2. The mean SF (p = 0.014) and BII (p < 0.001) were lower, while sTfR (p < 0.001) was higher in women with diabetes than those with no diabetes. Mean estimates for MCV and MCH were lower, while RDW (p = 0.001) was higher in diabetes patients (all p < 0.001). Women with diabetes were more likely to have iron deficiency, anemia, and iron deficiency anemia than those without diabetes (18.1% vs 8.6%, p < 0.001), (24.4% vs 8.4%, p < 0.001), and (14.8% vs 5.2%, p < 0.001), respectively. Among women with obesity, those with diabetes had lower predicted ferritin (ß = -0.19, p = 0.016), BII (ß = -0.99, p = 0.016), and hemoglobin (ß = -0.27, p = 0.042) than those without diabetes. The study shows that diabetes is linked to lower iron stores; this is exacerbated in those with obesity.

Prognostic models for predicting insomnia treatment outcomes: A systematic review.

OBJECTIVE: To identify and critically evaluate models predicting insomnia treatment response in adult populations. METHODS: Pubmed, EMBASE, and PsychInfo databases were searched from January 2000 to January 2023 to identify studies reporting the development or validation of multivariable models predicting insomnia treatment outcomes in adults. Data were extracted according to CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) guidelines and study quality was assessed using the Prediction model study Risk Of Bias Assessment Tool (PROBAST). RESULTS: Eleven studies describing 53 prediction models were included and appraised. Treatment response was most frequently assessed using wake after sleep onset (n = 10; 18.9%), insomnia severity index (n = 10; 18.9%), and sleep onset latency (n = 9, 17%). Dysfunctional Beliefs About Sleep (DBAS) score was the most common predictor in final models (n = 33). R2 values ranged from 0.06 to 0.80 for models predicting continuous response and area under the curve (AUC) ranged from 0.73 to 0.87 for classification models. Only two models were internally validated, and none were externally validated. All models were rated as having a high risk of bias according to PROBAST, which was largely driven by the analysis domain. CONCLUSION: Prediction models may be a useful tool to assist clinicians in selecting the optimal treatment strategy for patients with insomnia. However, no externally validated models currently exist. These results highlight an important gap in the literature and underscore the need for the development and validation of modern, methodologically rigorous models.

Body mass index trajectories and mortality risk in Japan using a population-based prospective cohort study: the Japan Public Health Center-based Prospective Study.

BACKGROUND: Recent studies have found that long-term changes in weight during adulthood are associated with a high risk of mortality. The objective of this study was to characterize body mass index (BMI) trajectories during adulthood and to examine the association between BMI trajectories and risk of death in the Japanese population. METHODS: The data were extracted from Japan Public Health Center-based Prospective Study-a population-based prospective cohort study in Japan with participants aged 40-69 years followed over 20 years. The participants were categorized into multiple BMI trajectory groups using the latent class growth model. The Cox proportional-hazards model was conducted using all-cause mortality and cause-specific mortality as outcomes and the identified BMI trajectory groups as a predictor. In total, 65 520 participants were included in the analysis. RESULTS: Six BMI trajectory groups were identified: underweight stable (Group 1), low-to-high normal (Group 2), high-to-low normal (Group 3), normal to overweight (Group 4), overweight to normal (Group 5) and normal to obese (Group 6). Our Cox models showed a higher hazard (risk) of all-cause mortality among participants in the BMI-declining groups [Group 3, adjusted hazard ratio (aHR): 1.10, 95% CI: 1.05-1.16; Group 5, aHR: 1.16, 95% CI: 1.08-1.26], underweight stable group (Group 1, aHR: 1.27, 95% CI: 1.21-1.33) and normal to obese group (Group 6, aHR: 1.22, 95% CI: 1.13-1.33) than Group 2 (low-to-high normal BMI trajectory). CONCLUSIONS: Stable underweight and weight loss were associated with a high risk of mortality, both of which were uniquely observed in a Japanese population.

Race/ethnic differences in the association of anxiety, depression, and discrimination with subsequent nicotine and cannabis use among young adults: A prospective longitudinal study.

INTRODUCTION: The shifting patterns in nicotine and cannabis use among young adults is taking place at a time when there is also increased reports of psychosocial stressors such as anxiety, depression, and everyday discrimination. Although race/ethnicity has been found to moderate the impact of psychosocial stressors, there is limited research examining the association of anxiety, depression, and discrimination with patterns of nicotine and/or cannabis product use among diverse young adults. METHODS: Data were from a longitudinal study of 2478 US young adults surveyed between 2019 and 2021. General estimating equation models were used to examine associations of self-reported psychological symptoms (depression, anxiety) and social stressors (discrimination) with substance use (any nicotine and cannabis product use; nicotine and cannabis vaping). RESULTS: Young adults from different racial/ethnic groups differed significantly in their depression and discrimination scores with young adults of color having higher mean scores. Overall, higher depression and everyday discrimination score was associated with increased odds of past 6-month use of any nicotine/tobacco and cannabis products. Higher generalized anxiety score increased odds of any nicotine/tobacco and dual nicotine and cannabis product use. Higher everyday discrimination score was associated with increased odds nicotine and cannabis vaping overall. Stratified models showed variation in associations among different racial/ethnic groups. CONCLUSIONS: Psychosocial stressors are associated with increased substance use odds among young adults. However, these stressors have a differential impact on substance use odds among young adults from different racial/ethnic contexts.

Correlates of early breastfeeding cessation and breastmilk expression in Uganda: a case-control study.

OBJECTIVE: To identify the correlates of early breastfeeding (BF) cessation and breastmilk expression (BE) among mothers 12 months after childbirth. METHODS: We used a case-control study design to compare characteristics between mothers who stopped BF and expressed breastmilk 12 months after childbirth in Uganda. BF practices were determined in 12-month follow-up interviews using an adapted World Health Organization infant feeding questionnaire. Univariate and bivariate logistic regression models identified correlates of early BF cessation and BE as distinct but related outcomes. RESULTS: The odds of early BF cessation were higher among mothers who expressed breastmilk irrespective of maternal age (adjusted odds ratio: 2.82; 95% confidence interval: 1.39, 5.68). Mothers who stopped BF and did not express breastmilk were more likely to be older than those who continued BF and did not express breastmilk during the first 12 postpartum months. CONCLUSION: Mothers living with human immunodeficiency virus infection have disproportionately high odds of early BF cessation that may contribute to disparities in child health outcomes. Promotion of safe BF practices coupled with family and social support could be a viable preventive strategy for attenuating such disparities, especially among young mothers at risk of early BF cessation.

Promoting Healthy Adolescent Romantic Relationships: Results of a Multisite, Two-group Parallel Randomized Clinical Trial.

PURPOSE: To examine the impact of About Us, an innovative healthy relationships intervention that promotes positive adolescent romantic relationships and the use of effective contraceptives, on improving behavior, attitudes, and intentions related to sexual intercourse, relationship communication, and conflict resolution at 3- and 9-month follow-up, compared to services as usual. METHODS: This was a multi-site, two-group, parallel, randomized-controlled trial with an intervention/comparison allocation ratio of 3:2 conducted at seven high schools in California between February 2018 and May 2021. RESULTS: Overall, our study did not find statistically significant evidence of improved behavior, attitudes, and intentions related to sexual intercourse, relationship communication, and conflict resolution among participants (14-18 years old) randomized to the intervention group (n = 316) compared to services as usual (n = 217) during follow-up (group x time; p > .05). Exploratory within group analyses showed that, compared to baseline, at the 3-month follow-up, the prevalence of reporting having had sex increased in the control group relative to intervention group (+19% vs. +9%, p < .01). Our sub-group analyses showed that changes in condom use intentions scores differed across school sites (group x time x school; p < .01); mixed (positive and negative) trends were observed for intervention effect, and schools with positive intervention effect trends tended to have greater program participation. DISCUSSION: About Us did not show statistically significant positive impacts on primary or secondary outcomes as anticipated. Our exploratory findings show evidence of some promising trends of intervention effects at the school-level, suggesting a need for better tailored intervention components and/or delivery to address the unique environmental contexts of participants. Overall, the context of study implementation was negatively affected by the COVID-19 pandemic and challenges related to using a non-classroom delivery intervention approach. Combined, these factors may have contributed to the study null findings. Moreover, it is difficult to know (or determine) the intervention's impact under more ideal conditions (i.e., no COVID pandemic).