Multinomial Regression Research Articles

Syndemic Psychosocial Conditions among Youth Living with HIV: a Latent Class Analysis.

Drug use, mental distress, and other psychosocial factors threaten HIV care for youth living with HIV (YLWH). We aimed to identify syndemic psychosocial patterns among YLWH and examine how such patterns shape HIV outcomes. Using baseline data from 208 YLWH enrolled in an HIV treatment adherence intervention, we performed latent class analysis on dichotomized responses to 9 psychosocial indicators (enacted HIV stigma; clinical depression and anxiety; alcohol, marijuana, and illicit drug misuse; food and housing insecurity; legal history). We used multinomial logistic regression to assess latent class-demographic associations and the automatic Bolck-Croon-Hagenaars method to assess HIV outcomes by class. Mean age of participants was 21 years; two thirds identified as cis male, 60% were non-Hispanic Black, and half identified as gay. Three classes emerged: "Polydrug-Socioeconomic Syndemic" (n = 29; 13.9%), "Distress-Socioeconomic Syndemic" (n = 35, 17.1%), and "Syndemic-free" (n = 142, 69.0%). Older, unemployed non-students were overrepresented in the "Polydrug-Socioeconomic Syndemic" class. Missed/no HIV care appointments was significantly higher in the "Polydrug-Socioeconomic Syndemic" class (81.4%) relative to the "Syndemic-free" (32.8%) and "Distress-Socioeconomic Syndemic" (31.0%) classes. HIV treatment nonadherence was significantly higher in the "Polydrug-Socioeconomic Syndemic" class (88.5%) relative to the "Syndemic-free" class (59.4%) but not the "Distress-Socioeconomic Syndemic" class (70.8%). Lack of HIV viral load suppression was non-significantly higher in the "Polydrug-Socioeconomic Syndemic" class (29.7%) relative to the "Syndemic-free" (16.2%) and "Distress-Socioeconomic Syndemic" (15.4%) classes. Polydrug-using, socioeconomically vulnerable YLWH are at risk for adverse HIV outcomes, warranting tailored programming integrated into extant systems of HIV care.

Temporal and external validation of the algorithm predicting first trimester outcome of a viable pregnancy.

Symptoms like vaginal bleeding or abdominal pain in early pregnancy can create anxiety about potential miscarriage. Previous studies have demonstrated ultrasonographic variables at the first trimester transvaginal scan (TVS) which can assist in predicting outcomes by 12 weeks gestation. To validate the miscarriage risk prediction model (MRP) in women who present with a viable intrauterine pregnancy (IUP) at the primary ultrasound. A multi-centre diagnostic study of 1490 patients was performed between 2011 and 2019 for retrospective external and 2017-2019 for prospective temporal validation. The reference standard was a viable pregnancy at 12 + 6 weeks. The MRP model is a multinomial logistic regression model based on maternal age, embryonic heart rate, logarithm (gestational sac volume/crown-rump length (CRL)) ratio, CRL and presence or absence of clots. Temporal validation data from 290 viable IUPs were collected: 225 were viable at the end of the first trimester, 31 had miscarried and 34 were lost to follow-up. External validation data from 1203 viable IUPs were collected at two other ultrasound units: 1062 were viable, 69 had miscarried and 72 were lost to follow-up. Temporal validation with a cut-off of 0.1 demonstrated: area under the curve (AUC) of 0.8 (0.7-0.9), sensitivity 66.7%, specificity 83.9%, positive predictive value (PPV) 35.7%, negative predictive value (NPV) 94.9%, positive likelihood ration (LR+) 4.1 and negative LR (LR-) 0.4. External validation demonstrated: AUC 0.7 (0.7-0.8), sensitivity 44.9%, specificity 90.4%, PPV 23.3%, NPV 96.2%, LR+ 4.6 and LR- 0.6 (0.4-0.7). The MRP model is not able to be used in real time for counselling, and management should be individualised.

Immigrant and Racialized Populations' Cumulative Exposure to Discrimination and Associations with Long-Term Conditions During COVID-19: A Nationwide Large-Scale Study in Canada.

This cross-sectional study examines associations between the race-migration nexus, cumulative exposure to intersectional discrimination (2years before and during the COVID-19 pandemic), and long-term conditions. A nationwide self-selected sample (n = 32,605) was obtained from a Statistics Canada's Crowdsourcing online survey from August 4 to 24, 2020. Binary and multinomial logistic regression models were used to examine disparities by the race-migration nexus in accumulative experiences of multiple situations- and identity-based discrimination and their relations with long-term conditions, after controlling for sociodemographic covariates. During the pandemic, discrimination stemming from racialization - such as race/skin color (24.4% vs 20.1%) and ethnicity/culture (18.5% vs 16.5%) - and cyberspace (34.1% vs 29.8%) exaggerated relative to pre-pandemic period; compared to Canadian-born (CB) whites, the likelihood of experiencing multiple discrimination increased alongside the domains of discrimination being additively intersected (e.g., identity-based, all p's < 0.001) among CB racialized minorities (ORs 2.08 to 11.78), foreign-born (FB) racialized minorities (ORs 1.99 to 12.72), and Indigenous populations (ORs 1.62 to 8.17), except for FB whites (p > 0.01); dose-response relationships were found between cumulative exposure to multiple discrimination and odds of reporting long-term conditions (p's < 0.001), including seeing (ORs 1.63 to 2.99), hearing (ORs 1.83 to 4.45), physical (ORs 1.66 to 3.87), cognitive (ORs 1.81 to 3.79), and mental health-related impairments (ORs 1.82 to 3.41). Despite a universal health system, Canadians who are CB/FB racialized and Indigenous populations, have a higher prevalence of cumulative exposure to different aspects of discrimination that are associated with multiple long-term conditions during the COVID-19 pandemic. Equity-driven solutions are needed to tackle upstream determinants of health inequalities through uprooting intersectional discrimination faced by racialized and immigrant communities.

Engagement and willingness to communicate in the L2 classroom: identifying the latent profiles and their relationships with achievement emotions

ABSTRACT Engagement and willingness to communicate (WTC) are crucial elements for second language (L2) learning. However, little is written about whether L2 learners demonstrate heterogeneous patterns of engagement and WTC in the classroom. This study aims to identify intraindividual differences in these two constructs and examine the roles of eight achievement emotions in predicting these profiles. To this end, 607 Chinese college L2 learners were recruited to complete three valid scales. Latent Profile Analysis (LPA) using Mplus 8.7 revealed a four-profile solution: high engagement-low engagement (C1: 26.85%), moderate engagement-moderate WTC (C2: 48.11%), moderate engagement-low WTC (C3: 14.83%), and low engagement-low WTC (C4: 10.21%). Multinomial logistic regression analyses revealed that negative achievement emotions did not predict these profiles, whereas positive ones did. Particularly, enjoyment was a positive predictor for all profiles, with a decreasing order of impact (C1 > C2 > C3 > C4). Hope did not differentiate between C1 and C2 but showed a decreasing influence on the subsequent profiles (C1 = C2 > C3 > C4). Lastly, pride was a significant predictor only for C4 (C1 = C2 = C3 > C4). This study also discusses the theoretical and pedagogical implications and suggests directions for future research.

Learning analytics dashboard design: Workplace learner preferences for reference frames in immersive training in practice

AbstractBackgroundLearning analytics dashboards are increasingly being used to communicate feedback to learners. However, little is known about learner preferences for dashboard designs and how they differ depending on the self‐regulated learning (SRL) phases the dashboards are presented (i.e., forethought, performance, and self‐reflection phases) and SRL skills. Insight into design preferences for dashboards with different reference frames (i.e., progress, social, internal achievement and external achievement) is important because the effectiveness of feedback can depend upon how a learner perceives it.ObjectiveThis study examines workplace learner preferences for four dashboard designs for each SRL phase and how SRL skills relate to these preferences.MethodsSeventy participants enrolled in a chemical process apprenticeship program took part in the study. Preferences were determined using a method of adaptive comparative judgement and SRL skills were measured using a questionnaire. Preferences were tested on four dashboard designs informed by social and temporal comparison theory and goal setting theory. Multinomial logistic regressions were used to examine the relationship between dashboard preferences and SRL.Results and ConclusionsResults show that the progress reference frame is more preferred before and after task performance, and the social reference frame is less preferred before and after task performance. It was found that the higher the SRL skill score the higher the probability a learner preferred the progress reference frame compared to having no preference before task performance. The results are consistent with other findings, which suggest caution when using social comparison in designing dashboards which provide feedback.

Cultivating and Sharing Tacit Knowledge in the Medical Field

This study explores tacit knowledge transfer in healthcare, aiming to identify barriers and opportunities in sharing this nuanced expertise among practitioners and its impact on patient care standards. Employing a mixed-methods approach, it gathers data from healthcare professionals, analyzing it via reliability, statistical tests, and multinomial logistic regression. Results show moderate scale reliability, significant relationships between responses, and various factors influencing patient care quality, such as patient confidentiality, effectiveness of mentoring programs, and engagement in online forums. Challenges in tacit knowledge transfer were found insignificant, yet specific factors like mentoring and online participation are crucial for care quality. The study concludes that mentorship and organizational strategies play vital roles in enhancing care delivery by facilitating tacit knowledge sharing, underlining the importance of addressing confidentiality issues, and promoting innovation through active online engagement and effective knowledge use.

Climate-Smart Agriculture as an Adaptation Measure to Climate Change in Togo: Determinants of Choices and Its Impact on Rural Households’ Food Security

Climate-smart agriculture is one of the most important actions for agricultural climate change adaptation, especially in Togo, a sub-Saharan African country with a fragile ecology and where agriculture is profoundly impacted by climate change. Using a multinomial endogenous switching regression (MESR) and a multinomial endogenous treatment effect (METE) approach, we conducted empirical research to identify the factors influencing the adoption decisions of climate-smart agricultural practices (CSAPs) and their impact on household food security among smallholder farmers in Togo. The findings of this study revealed that the adoption of CSAPs by farmers is influenced by a range of factors, such as age, marital status, the household head’s gender, engagement in off-farm activities, level of education, farm size, agroecological zone, regional location, land ownership, distance between homestead and farm, access to credit, the presence of agricultural associations and cooperatives, and access to extension agents. On the one hand, the MESR analysis demonstrated a positive correlation between the number of adopted CSAPs and households’ food consumption score. Similarly, greater adoption of CSAPs resulted in a significant reduction in the food insecurity experience scale. On the other hand, the METE model portrayed an increase in acceptable food consumption when households adopted up to three CSAPs. Likewise, it significantly alleviated severe food insecurity. Further results based on the propensity score matching technique showed that the adoption of a crop rotation system, utilization of improved varieties of seeds, plant protection products, inorganic fertilizer, organic fertilizer, and irrigation improved adopters’ food consumption scores while reducing their level of food insecurity.

Age at natural menopause and associated factors with early and late menopause among Chinese women in Zhejiang province: A cross-sectional study.

Menopause is a significant life transition for women, impacting their physical and psychological health. The age at natural menopause (ANM) and its associated factors have differed by race and region. This study aimed to investigate ANM and associated factors of early and late menopause among Chinese women in Zhejiang province. A cross-sectional study was conducted using a multi-stage stratified cluster sampling method to recruit 8,006 women aged 40-69 years who had resided in Zhejiang province for over 6 months between July 2019 and December 2021. Self-reported ANM and sociodemographics, lifestyle behaviors, reproductive history, and health-related factors were collected using questionnaires in face-to-face surveys. ANM were categorized into three groups: early menopause (<45 years), normal menopause (45-54 years), and late menopause (≥55 years). Kaplan-Meier survival analysis was utilized to calculate the median ANM. Multivariable multinomial logistic regression was employed to explore the associated factors of early menopause and late menopause. A total of 6,047 women aged 40-69 years were included for survival analysis, with 3,176 of them for the regression analysis. The overall median ANM was 51 years (Inter-quartile range [IQR]: 51-52). Women who were smokers (odds ratio [OR]:4.54, 95% confidence interval [CI]:1.6-12.84), had irregular menstrual cycles (OR:1.78, 95% CI:1.12-2.83) and hypertension (OR:1.55, 95% CI:1.09-2.21) had a higher odds ratio of early menopause, while central obesity (OR:1.33, 95% CI:1.03-1.73) and hyperlipidemia (OR:1.51, 95% CI:1.04-2.18) were factors associated with late menopause. This study revealed the associations between ANM and various factors among Chinese women. These factors included socio-demographic factors such as age; life behavior factors like current or prior smoking status; reproductive history factors such as irregular menstrual cycles, miscarriages, and breastfeeding; and health-related factors like central adiposity, hypertension, and hyperlipidemia. These findings provided a basis for understanding factors associated with ANM.

Changes in male permanent contraception as partner access to long-acting reversible contraception (LARC) increases: an analysis of the National Survey for Family Growth, 2006-2010 versus 2017-2019.

Male permanent contraception (PC), that is, vasectomy, is an effective way of preventing pregnancy. In the United States, male PC use has historically been concentrated among higher-educated/higher-income males of White race. In the last decade, use of long-acting reversible contraception (LARC) has increased dramatically. We sought to understand how sociodemographic patterns of male PC have changed in the context of rising LARC use. We examined the nationally representative male public use files of the National Survey for Family Growth (NSFG) across five survey waves. Our outcome was primary contraceptive use at last sexual encounter within 12 months. Using four-way multinomial logistic regressions (male PC, female PC, LARC, lower-efficacy methods), we compared sociodemographic factors predictive of male PC use versus reported partner LARC use between 2006-2010 (early) and 2017-2019 (recent) waves. We included 15 964 participants. From 2006 to 2019, there were absolute declines in male PC from 8.0% to 6.8%, while male-reported partner LARC use increased three-fold, from 3.4% to 11.0%. Among the highest economic strata, use of LARC converged with male PC. In adjusted analyses, high income significantly associated with male PC use in the early wave (OR 4.6 (1.4, 14.8)), but no longer in the recent wave (OR 0.9 (0.2, 4.2)). Marital status remained a significant but declining predictor of male PC across survey waves, and instead, by 2019, number of children newly emerged as the strongest predictor of male PC use. Sociodemographic variables associated with vasectomy use are evolving, especially among high-income earners.

Patterns of multidimensional social exclusion among older home care services recipients.

The guiding principle of current ageing policies has been to promote older adults to live in their private homes, but little attention has been paid to social exclusion of older adults receiving home-based care. The aim of this study is to increase understanding on different patterns of multidimensional social exclusion among older adults receiving formal home care services, and through this to shed light on the possible challenges of current ageing-in-place policies. The survey data was collected in 2022 among older adults aged 65 to 102 years receiving home care services in Finland and merged with administrative data (n=733). A latent class analysis was used to identify different types of social exclusion. Multinomial logistic regression modeling examined factors associated with different social exclusion types. Four social exclusion types were identified: (1) not excluded (16.9 %), (2) homebound economically excluded (40.1 %), (3) excluded from social relations (28.6 %), and (4) multidimensionally excluded (14.3 %). Poor self-rated health and poor functional ability significantly increase the risk of being multidimensionally excluded or homebound economically excluded. The group using home care and medical services the most are the most multidimensionally excluded. The group living in urban areas are more likely to be excluded from social relations. Different types of social exclusion should be acknowledged when addressing social exclusion among home care clients. Enhanced measures should be developed to support older adults using home and health care services the most, as they are at high risk of severe exclusion.

Identifying discriminant factors between phantom limb pain, residual limb pain, and both in people with lower limb amputations: a cross-sectional study.

Postamputation pain is a common condition in patients with lower limb amputation (LLA), which compromises amputees' rehabilitation, use of the prosthesis, and quality of life. The aim of our study was to investigate the prevalence of phantom limb pain (PLP), residual limb pain (RLP), or both types of pain among individuals with LLA, and to identify the factors associated with the presence of one type of pain versus the other. Patients who underwent amputation for traumatic or vascular reasons and who reported on RLP or PLP were analyzed and divided into three groups: PLP, RLP, or a group of subjects that presented both pains. We searched for factors that affect the occurrence of limb pain using univariate analyses, followed by multinomial logistic regression. Among the 282 participants with transtibial and transfemoral amputations, 192 participants (150 male and 42 female) presented PLP, RLP, or both types of pain, while 90 participants declared to perceive no pain. The estimated prevalence of any type of pain after transfemoral and transtibial amputation was therefore 68% (27% PLP, 10% RLP, and 31% both). Among the studied characteristics, only amputation level was associated with the type of pain (P = 0.001). Multinomial logistic regression identified transfemoral amputation as the only statistically significant predictor for PLP (odds ratio = 2.8; P = 0.002). Hence, it was estimated that individuals with transfemoral amputation have nearly three times higher odds of experiencing PLP compared with those with transtibial amputation.

Relationship between family history of mandatory boarding school experiences and suicide risk in US reservation-based Native American youth: a cross-sectional analysis

IntroductionSuicide is a leading cause of death among Native American youth and adolescents in the USA. A myriad of factors have been correlated with risk for suicide ideation (SI)/suicide attempt...

Factors influencing nursing student satisfaction in aged care placements: An Australian cross-sectional study

AimThis study aimed to investigate factors influencing nursing students’ satisfaction with aged care placements. BackgroundProviding positive clinical experiences in aged care is crucial for students to learn safe, quality care and to foster a sustainable workforce. DesignCross-sectional study MethodsNursing students in nursing degrees participated in the national placement evaluation survey. A total of 2378 responses were extracted from the national clinical placement evaluation survey in 2023. Using multinomial logistic regression, demographics, academic, placement characteristics and placement education quality (clinical environment and learning support) were investigated in relation to three different levels of students' overall satisfaction (low, moderate, high). ResultsStudents reported overall satisfaction with their clinical placement, with a mean score of 7.9 (SD=2.1) on a 10-point scale. While most students agreed that they had achieved their learning objectives (90.0 %), they reported limited opportunities to interact with the multidisciplinary team (80.0 %). Further, students reported a relatively negative experience with staff, such as willingness to work with students (78.9 %) and being positive role models (78.9 %). Comparing the low satisfaction group to the moderate satisfaction group, male gender, identifying as an indigenous student and higher academic years increased the odds of being ‘least satisfied’, whereas international students, whose first language was not English and those with higher perceived placement education quality scores had lower odds of low satisfaction group membership. Conversely, compared with the moderate satisfaction group, those with the highest satisfaction with their clinical placement had a greater odds of being older, an international student and having higher scores in placement quality for the clinical environment and learning support. This model predicted 58.7 % of students' overall satisfaction. ConclusionsPositive learning experiences in aged care may promote the importance of practice in this area to new graduates. Despite students’ overall positive satisfaction with aged care placements, it is clear there are areas to address: a need to develop a structured approach to enhance aged care clinical experiences, progressive development of learning objectives, enhancing student career preparation and increasing participation in interprofessional collaboration may be useful approaches.

Mindful self-care among oncology nurses in China: a latent profile analysis

BackgroundOncology nurses are considered the group with the highest risk for moral distress, compassion fatigue and burnout. Mindful self-care may help oncology nurses improve their well-being and solve psychological problems. However, the investigation and in-depth analysis of mindful self-care among oncology nurses in China is lacking.ObjectivesTo identify heterogeneity groups of oncology nurses on mindful self-care ability and examine the sociodemographic correlation to these profiles.DesignCross-sectional descriptive study.ParticipantsThe study was carried out among oncology nurses in two affiliated comprehensive hospitals and one affiliated oncology hospital. A total of 839 oncology nurses were enrolled in this survey.MethodsFrom January to May 2023, a cross-sectional study was carried out among oncology nurses using convenient sampling. The subjects were given the brief Mindful Self-Care Scale (B-MSCS) and the General Demographic Information Questionnaire. Latent profile analysis using the Mplus 7.4 program was used to separate oncology nurses’ mindful self-care into a variety of subgroups. The SPSS 25.0 statistical program was used to analyze the data. One-way ANOVA and the chi-square test were performed to compare the score of B-MSCS in each class and the difference in sociodemographic characteristics among the subgroups. Multinomial logistic regression was used to examine the influence of the sociodemographic variables on each class.ResultsThe total score of the B-MSCS was 76.40 ± 13.19. The support structure dimension had the highest score, with an average mean value of 3.60, and physical care had the lowest score at 2.57. The findings of the latent profile analysis showed that respondents were divided into three classes, moderate mindful self-care(51.2%), low-low mindful relaxation(14.8%), and high-high mindfulness self-awareness(34.0%). Across scale scores and dimensions, three groups demonstrated statistically significant differences (p < 0.05). Univariate analysis revealed significant differences between the three profiles in terms of professional title, position, concern about self-care, interest in mindfulness, and experience with meditation (p < 0.05). Profile membership was predicted by 3 factors, namely, self-care status, interest in mindfulness, and experience with meditation.ConclusionThe mindful self-care among oncology nurses can be categorized into three latent profiles: moderate mindful self-care, low-low mindful relaxation, and high-high mindfulness self-awareness. Multinomial logistic regression results indicated that whether oncology nurses concern about self-care, interest in mindfulness and have experience with meditation influenced different latent profiles. Nursing manager should develop targeted intervention based on the typological characteristics of the oncology nurses to improve their mindful self-care ability and mental health.

Vitamin D Status among 2–18-Year-Old Romanian Pediatric Patients: A Single-Center Study

An adequate vitamin D level is essential for optimal bone mass formation during growth. The present study aimed to assess (i) the sex-specific, age-specific, and potential seasonal (spring, summer, winter) influences on the pediatric circulating levels of 25-hydroxyvitamin D (25(OH)D); (ii) determine the frequency of pediatric patients with vitamin D deficiency (VDD) or insufficiency (VDI); and (iii) quantify the association between age category, sex, and season types and susceptibility to VDD and VDI, respectively. Laboratory data were collected on serum 25(OH)D levels in children aged between 2 and 18 years (n = 1674) who underwent blood sampling following admission to a university pediatric hospital in Cluj-Napoca (Romania) between January and June 2023. VDD (&lt;20 ng/mL) was observed in 27% of pediatric patients. Among toddlers and preschoolers (2–5 years), VDD was 11%, while it was 33% among school-aged children (6–11 years) and 39% among adolescents (12–18 years). We found a significant difference in the frequencies of vitamin D status between females and males (p = 0.006). Also, we found significant associations of vitamin D status with age categories (p &lt; 0.0001) and seasonal variations (p = 0.03). After adjusting for season of blood collection, the multinomial logistic regression model showed that children aged 6–11 years old (adjusted OR = 7, 95% CI: (4.9, 9.4)), children aged 12–18 years old (adjusted OR = 14, 95% CI: (9.3, 19.6)), and females (adjusted OR = 1.43, 95% CI: (1.10, 1.86)) were significantly associated with higher odds of VDD. In conclusion, the study revealed a significant difference in the frequency of VDD and VDI among pediatric patients older than six years, with a significant difference according to sex and season, being more pronounced among girls and during the winter and spring seasons.

Outcomes of Hospitalised COVID-19 Patients Arriving With Hypoxic Respiratory Failure

Hypoxia is a common complication seen in people with COVID-19 and can often be the presenting symptom. Using a multi-centre observational database, we analysed 3,624 hospitalised COVID-19 PCR-positive patients at Methodist Health System, Dallas, Texas, USA from March 2020 to December 2020. We compared in-hospital death or hospice referral rates and major adverse cardiovascular events (MACE) between patients with four levels of oxygen (O2) requirements (0-1 L/min, 2-10 L/min, 11-20 L/min, 21-100 L/min). MACE included congestive heart failure (CHF) exacerbations, myocardial infarctions (MI), strokes, pulmonary embolism (PE) / deep venous thrombosis (DVT), and shock. Logistic regression analysis was used to determine comorbidities and demographics associated with mortality. Multinomial regression analysis was used to find which of these variables were associated with hypoxia. Patients who arrived needing 0-1 L/min of O2 had reduced risk of mortality compared to those requiring 2-10 L/min (OR=1.54, 95% CI=1.207-1.976, p<0.0001), 11-20 L/min (OR=4.55, 95% CI=3.169-6.547, p<0.0001), or 21-100 L/min (OR=12.06, 95% CI=8.548-17.016, p<0.0001). In addition, patients who arrived needing 0-1 L/min of O2 showed reduced risk of MACE compared to those requiring 2-10 L/min (OR=1.20, 95% CI=1.029-1.409, p<0.0001), 11-20 L/min (OR=2.76, 95% CI 2.06-3.696, p<0.0001), or 21-100 L/min (OR=6.74, 95% CI 4.966-9.155, p<0.0001). Hypoxia on arrival is associated with a significantly increased risk of mortality and MACE among hospitalised patients with COVID-19. This data will promote better prognostication and help reduce negative outcomes in an inpatient setting.

Antenatal Care Visits, Institutional Births, and Associated Risk Factors in Afghanistan: Insights from the Multiple Indicator Cluster Survey 2022-2023.

Insufficient use of antenatal care (ANC) services and institutional births services can elevate the maternal mortality risk in limited resource settings. Hence, the key objective of this study was to evaluate the potential association between the frequency of ANC visits and institutional birth services in Afghanistan, while also identifying other sociodemographic factors that may exert influence. Furthermore, we explored factors associated with the attendance of women at ANC visits during their pregnancy. We employed data from the most recent Multiple Indicator Cluster Survey conducted in Afghanistan in 2022 to 2023 with a total of 8096 women aged 15 to 49. A complex survey weight-adjusted logistic regression model was used to examine factors related to institutional births, and a multinomial logistic regression model was fitted to assess the relationships between sociodemographic factors and ANC visits, adjusting for survey weights, cluster effects, and strata. Approximately 40% of the sample (n = 3247) had undergone 4 or more ANC visits, and 74.4% (n = 6,022) had opted for institutional birth. Women's higher education was found to be associated with ANC visits. The area of residence, wealth index, education levels of women, ownership of mobile phones, number of children, and number of ANC visits were associated with institutional births. Compared with women with no or one ANC visit, those with more than 3 visits had 31% higher odds (adjusted odds ratio, 1.31; 95% CI, 1.10-1.57) of accessing institutional births. Our findings indicate a significant association between ANC visits and use of institutional birth care. These findings carry implications for advancing safe motherhood and childbirth by enhancing women's social status.

A longitudinal study of glucose tolerance in cystic fibrosis: the central role of beta cell functional mass.

The pathophysiological mechanisms underlying the natural history of glucose intolerance and its fluctuations in subjects with cystic fibrosis (CF) are still unclear. To investigate the relationship between longitudinal changes in glucose tolerance and concomitant changes in the main parameters of insulin secretion/metabolism/action determining glucose regulation in CF subjects. Insulin sensitivity and glucose-stimulated insulin secretion (GSIS, a biomarker of beta cell functional mass), as estimated by the Oral Glucose Sensitivity Index (OGIS) and by a sophisticated mathematical model, respectively, and insulin clearance were assessed in 127 CF subjects, aged 10-25 years, who underwent two OGTT tests over at least 1-year follow-up period. Subjects were classified a posteriori as regressors (improved glucose tolerance), stable, or progressors (worsened glucose tolerance). The interplay between beta cell compensatory action and insulin sensitivity over time was analyzed by vector plots of insulin clearance adjusted GSIS (PCadj) versus OGIS. OGIS decreased in progressors and stable. Insulin clearance decreased in both regressors and progressors. GSIS (beta cell functional mass) improved in regressors and worsened in progressors, whereas it did not change in stable. Vector plot analysis confirmed that glucose regulation changed differently in each group. Multinomial logistic regression analysis showed that baseline glucose tolerance and GSIS changes were the only significant predictors of the changes in glucose tolerance (p<0.02, R2Nagelkerke=0.55), whereas age, gender, z-BMI, CF genotypes, and baseline PCadj were not. In CF subjects, changes in beta cell functional mass are associated with favorable or detrimental changes of glucose tolerance over time.

Low HDL-C/ApoA-I index is associated with cardiometabolic risk factors and coronary artery calcium: a sub-analysis of the genetics of atherosclerotic disease (GEA) study

BackgroundThe high-density lipoprotein cholesterol to apolipoprotein A-I index (HDL-C/ApoA-I) may be practical and useful in clinical practice as a marker of atherosclerosis. This study aimed to investigate the association between the HDL-C/ApoA-I index with cardiometabolic risk factors and subclinical atherosclerosis.MethodsIn this cross-sectional sub-analysis of the GEA study, 1,363 individuals, women (51.3%) and men (48.7%) between 20 and 75 years old, without coronary heart disease or diabetes mellitus were included. We defined an adverse cardiometabolic profile as excess adipose tissue metrics, non-alcoholic liver fat measured by non-contrasted tomography, metabolic syndrome, dyslipidemias, and insulin resistance. The population was stratified by quartiles of the HDL-C/Apo-AI index, and its dose-relationship associations were analysed using Tobit regression, binomial, and multinomial logistic regression analysis.ResultsBody mass index, visceral and pericardial fat, metabolic syndrome, fatty liver, high blood pressure, and CAC were inversely associated with the HDL-C/ApoA-I index. The CAC > 0 prevalence was higher in quartile 1 (29.2%) than in the last quartile (22%) of HDL-C/ApoA-I index (p = 0.035). The probability of having CAC > 0 was higher when the HDL-C/ApoA-I index was less than 0.28 (p < 0.001). This association was independent of classical coronary risk factors, visceral and pericardial fat measurements.ConclusionThe HDL-C/ApoA-I index is inversely associated with an adverse cardiometabolic profile and CAC score, making it a potentially useful and practical biomarker of coronary atherosclerosis. Overall, these findings suggest that the HDL-C/ApoA-I index could be useful for evaluating the probability of having higher cardiometabolic risk factors and subclinical atherosclerosis in adults without CAD.

Multiethnic Perspectives of Shared Decision-Making in Hypertension: A Mixed-Methods Study.

Shared decision-making (SDM) has the potential to improve hypertension care quality and equity. However, research lacks diverse representation and evidence about how race and ethnicity affect SDM. Therefore, this study aims to explore SDM in the context of hypertension management. Explanatory sequential mixed-methods design was used. Quantitative data were sourced at baseline and 12-month follow up from RICH LIFE (Reducing Inequities in Care of Hypertension: Lifestyle Improvement for Everyone) participants (n=1212) with hypertension. Qualitative data were collected from semistructured individual interviews, at 12-month follow-up, with participants (n=36) selected based on their SDM scores and blood pressure outcome. Patients were cross- categorized based on high or low SDM scores and systolic blood pressure reduction of ≥10 or <10 mm Hg. Multinomial logistic regression analysis showed that predictors of SDM scores and blood pressure outcome were race and ethnicity (relative risk ratio [RRR], 1.64; P=0.029), age (RRR, 1.03; P=0.002), educational level (RRR, 1.87; P=0.016), patient activation (RRR, 0.98; P<0.001; RRR, 0.99; P=0.039), and hypertension knowledge (RRR, 2.2; P<0.001; and RRR, 1.57; P=0.045). Qualitative and mixed-methods findings highlight that provider-patient communication and relationship influenced SDM, being emphasized both as facilitators and barriers. Other facilitators were patients' understanding of hypertension; clinicians' interest in the patient, and clinicians' personality and attitudes; and barriers included perceived lack of compassion, relationship hierarchy, and time constraints. Participants with different SDM scores and blood pressure outcomes varied in determinants of decision and descriptions of contextual factors influencing SDM. Results provide actionable information, are novel, and expand our understanding of factors influencing SDM in hypertension.