Employment Preferences of Cardiologists in Türkiye: A Discrete Choice Experiment.

OBJECTIVE: The homogeneous distribution of physicians is important for ensuring patients' access to health services. To encourage physicians to work in underserved areas, policymakers create incentives. Understanding physicians' employment preferences is essential when developing these incentive packages. This study aims to quantitatively reveal the preferences of cardiologists in Türkiye using a discrete choice experiment (DCE). METHODS: A DCE questionnaire was distributed electronically to all cardiologists in Türkiye. It included 14 different pairs of hypothetical job offers based on seven parameters likely to influence their employment preferences. The data were analyzed using a conditional logit model. The coefficients (CEs) of conditional logistic regression and the willingness-to-accept (WTA) values were calculated. RESULTS: The analysis included 278 cardiologists. It revealed that the most influential parameter was location (CE: 2.86). To move to an undesirable location, the average participant would require an earnings increase of at least 123.3% relative to the average potential earnings of a cardiologist. Other parameters included availability of suitable facilities (CE: 1.07, WTA: 46.3%), harmony with co-workers (CE: 0.92, WTA: 39.61%), working conditions (CE: 0.68, WTA: 29.26%), and the number of night shifts (CE: 0.61, WTA: 26.34%). CONCLUSION: 'Location' emerged as the most important factor in the employment preferences of cardiologists in Türkiye. However, several other monetary and non-monetary factors were also influential, suggesting that policymakers should adopt a holistic approach when developing incentives for cardiologists.

Are migrants during the periconception period less likely to be supplementing with folic acid: An Australian cohort study.

BACKGROUND: Folic acid (FA) supplementation before and in early pregnancy is known to improve outcomes such as reducing neural tube defects; however, little is known about groups in Australia at risk of low FA use. AIM: To determine whether differences exist in FA supplementation rates between Australian-born women and migrant women, with a secondary aim of examining the sociodemographic characteristics of women who are not supplementing with FA in early pregnancy. METHODS: A retrospective cohort study from January 2018-July 2022 in a high-migrant population in Western Sydney, Australia. Multivariate logistic regression analysis was conducted adjusting for confounders including place of birth, age, ethnicity, parity, history of diabetes, and type of conception. FINDINGS: There were 48,045 women who met inclusion criteria; 65% of whom were migrants. We identified that 39.4% of the study population did not report FA supplementation by early pregnancy. Women who were migrants were more likely to report FA usage than those born in Australia (aOR 1.24; 95%CI 1.17-1.31). Women least likely to report use of FA were women < 20 years of age (aOR 0.54; 95%CI 0.44-0.67) and multiparous women (aOR 0.84; 95%CI 0.82-0.86). Women with type 1 or type 2 diabetes were more likely to report FA use (aOR 1.66; 95%CI 1.11-2.48, aOR 1.30; 95%CI 1.05-1.61). CONCLUSION: A significant proportion of the population did not report FA supplementation before or during early pregnancy. To increase uptake of FA supplementation, clinicians and public health messaging should target at-risk groups.

Prevalence of mental disorders among middle-aged population of primary healthcare centers in Northeastern Iran.

BACKGROUND: Primary healthcare centers (PHCs) serve as the cornerstone of accessible medical services in society, playing a crucial role in screening, detecting, and treating various health issues. This study aimed to investigate the prevalence of psychiatric disorders in middle-aged individuals who refer to PHCs and the potential of PHCs in diagnosing mental disorders. METHODS: This cross-sectional study was implemented at PHCs under the supervision of Mashhad University of Medical Sciences (MUMS) in northeast Iran in 2018. The enrolled subjects were middle-aged adults who had electronic medical records in SINA, an integrated health management system, and the electronic medical records of MUMS. The prevalence of psychiatric disorders by type and their relationship with demographic information was evaluated by a Chi-square test using SPSS 22. RESULTS: This study involved 218,341 middle-aged participants. Prevalence of psychiatric disorders was 8.59%, and depression (53.72%) and anxiety (42.02%) were the most common psychiatric disorders in both males and females. The prevalence of mental disorders was significantly higher in females than in males (88.18% vs. 18.81%; P < 0.0001). Indeed, a significant higher prevalence of depression, anxiety, somatoform, childhood psychiatric disorder, and bipolar disorders was observed in females compared to males (P < 0.05). In addition, individuals between the age of 45-60 years, and those from rural areas showed more prevalence of mental disorders than others, but these differences were not significant. CONCLUSIONS: Considering the previous studies in Iran, the prevalence of mental disorders among patients presenting to PHCs was noticeably lower than expected rates. It seems probable that this huge difference is due to poor screening and detection of mental illness in PHCs of MUMS. It is recommended that health policymakers pursue specific measures to make PHCs more helpful for people with mental health problems in the community.

Erythrocyte membrane n-3 PUFA are inversely associated with breast cancer risk among Chinese women.

The relationship between erythrocyte membrane n-3 PUFA and breast cancer risk is controversial. We aimed to examine the associations of erythrocyte membrane n-3 PUFA with odds of breast cancer among Chinese women by using a relatively large sample size. A case-control study was conducted including 853 newly diagnosed, histologically confirmed breast cancer cases and 892 frequency-matched controls (5-year interval). Erythrocyte membrane n-3 PUFA were measured by GC. Logistic regression and restricted cubic spline were used to quantify the association between erythrocyte membrane n-3 PUFA and odds of breast cancer. Erythrocyte membrane α-linolenic acid (ALA), docosapentaenoic acid (DPA) and total n-3 PUFA were inversely and non-linearly associated with odds of breast cancer. The OR values (95 % CI), comparing the highest with the lowest quartile (Q), were 0·57 (0·43, 0·76), 0·43 (0·32, 0·58) and 0·36 (0·27, 0·49) for ALA, DPA and total n-3 PUFA, respectively. Erythrocyte membrane EPA and DHA were linearly and inversely associated with odds of breast cancer ((EPA: ORQ4 v. Q1 (95 % CI) = 0·59 (0·45, 0·79); DHA: ORQ4 v. Q1 (95 % CI) = 0·50 (0·37, 0·67)). The inverse associations were observed between ALA and odds of breast cancer in postmenopausal women, and between DHA and oestrogen receptor+ breast cancer. This study showed that erythrocyte membrane total and individual n-3 PUFA were inversely associated with odds of breast cancer. Other factors, such as menopause and hormone receptor status, may warrant further investigation when examining the association between n-3 PUFA and odds of breast cancer.

Prediction Model of Adverse Pregnancy Outcome in Pre-Eclampsia Based on Logistic Regression and Random Forest Algorithm.

Aim: To construct a prediction model for adverse pregnancy outcomes of preeclampsia (PE). Thus assisting clinicians to identify high-risk patients. Provide guidance for treatment intervention. Methods: A retrospective study was conducted on 319 PE patients admitted to the Huzhou Maternal and Child Health Hospital from April 2021 to December 2022, The patients were divided into an adverse group (93 cases) and a non-adverse group (226 cases) based on whether they had adverse pregnancy outcomes after admission. Collect clinical data from patients, using a single factor analysis to screen statistically significant indicators as input variables, the outcome of the analysis is dependent on the incidence of PE adverse pregnancy outcomes. Divide patients into training and testing sets in a 7:3 ratio, Logistic regression model and random forest model were constructed respectively. Evaluate the predictive performance of two statistical models. Results: Among the 319 PE patients included 93 had adverse pregnancy outcomes after admission. Among them, Age (OR: 1.702, 95%CI: 1.069~2.710), small gestational age (OR: 0.757,95%CI: 0.607~0.945), more clinical symptoms (OR: 3.618, 95%CI: 1.682~7.783), high 24 h proteinuria (OR: 2.532, 95%CI: 1.290~4.968), low PLT index (OR: 0.616, 95%CI: 0.419~0.906), high AST index (OR: 1.554, 95%CI: 1.012~2.387), high D-Dimer index (OR:1.966, 95%CI: 1.183~3.267) were the influencing factors of adverse pregnancy outcomes in PE patients. The test set found that the random forest model was superior to the Logistic regression model in predicting the risk of adverse pregnancy outcomes in PE patients. Conclusions: The random forest model has good stability in predicting the risk of adverse pregnancy outcomes in PE, and its prediction efficiency is better than the Logistic regression model.

Logistic Regression Analysis of Factors Associated with the Diagnosis of Fungal Bulbar Sinusitis in Western Yunnan.

Objective: Fungal bulb sinusitis (FBS) is mainly caused by fungal infection. Due to its similar clinical symptoms to other sinus diseases such as chronic sinusitis and sinus tumors, it is very easy to have adverse events such as missed diagnosis and misdiagnosis during diagnosis, which further affects patients' negative emotions of quality of life. Therefore, this study investigated the differences between FBS and CRS in Yunnan and western Yunnan, and analyzed the independent risk factors for the diagnosis of FBS, so as to predict the probability of diagnosis of FBS in patients with inflammatory diseases of nasal cavity and sinuses. Methods: A total of 128 FBS patients diagnosed in the First Affiliated Hospital of Dali University from January 2015 to December 2019 were retrospectively selected as the study objects, and 112 FBS patients eligible for this study were selected according to the inclusion and exclusion criteria such as Otolaryngology, Head and Neck Surgery and were set as the study group. And 112 patients with CRS diagnosed in the same period were selected as the control group. Single factor analysis (χ2 test) was applied to screen out the factors with significant differences in the preoperative clinical data of the two diseases, which were incorporated into the multivariate Logistic regression model to find independent risk factors for the diagnosis of FBS, establish the diagnosis prediction equation of the disease, and verify the sensitivity and specificity of the equation by using the collected clinical data. Results: Multifactorial analysis indicated that age, blood in aspirin, calcified spots, unilateral or bilateral lesions, single or multiple sinus tract lesions, and osteophytes were influential as independent risk factors for diagnosing FBS. The O.R.s for unilateral or bilateral lesions, calcified points, single or multiple sinus tract lesions, and blood in aspirin correlated stronger than 10 with the diagnosis of FBS. Based on these results, a logistic regression prediction equation for the diagnosis of FBS was developed: y = -6.879 + 1.295x1 + 2.519x2 + 3.010x3 + 3.605x4 + 2.977x5 + 1.596x6. P = exp(y)/[1 + exp(y)]. Validation revealed that 91.1% of FBS patients had a diagnostic probability of P>0.5 and 79.5% had a diagnostic probability of P > .9. In contrast, only 4.5% of CRS patients had a diagnostic probability of P > .5 and 0 patients had a diagnostic probability of P > .9. Conclusions: FBS remains diagnostic in unilateral or bilateral lesions, calcified spots, single or multiple sinus lesions, and aspirin-containing blood. In addition, the multifactorial regression prediction equation can calculate the probability of a preoperative diagnosis of FBS in patients with inflammatory nasal and sinus diseases, and the prediction efficacy of the established prediction model is good. In addition, the multifactor regression prediction equation has a wide range of applications and can also be used to verify the correlation of other subsequent experiments.

Who returned home? The COVID-19 pandemic and young adults' residential transitions.

The COVID-19 pandemic is thought to have led to an increase in the percentage of young adults living with their parents, but the relative contributions made by moves into and out of the parental home to this increase are unknown. Also unknown is whether changes in the likelihood of home leaving and returning were concentrated among privileged or disadvantaged youth. This study used data from the Panel Study of Income Dynamics Transition into Adulthood Supplement (2013-2021) and estimated logistic regression models to examine changes in the levels and correlates of moving into (n = 1872) and out of (n = 1852) the parental home before and after the onset of the COVID-19 pandemic in the U.S. Results show that relative to pre-pandemic trends, during the COVID-19 pandemic young adults were more likely to move back to the parental home and less likely to leave it. The increase in the likelihood of returning home was concentrated among young, white college students from advantaged families. The decline in leaving home was most pronounced among white and employed young adults.

Interaction between vitamin E intake and a COMT gene variant on colorectal cancer risk among Korean adults: a case-control study.

OBJECTIVES: Previous human trials have not supported the anticarcinogenic effect of vitamin E despite biological plausibility and considerable epidemiological evidence. A possible explanation for this inconsistency is the interactive effect of the catechol-O-methyltransferase (COMT) gene and supplemental vitamin E on cancer. We examined whether a COMT gene variant modulates the effect of dietary vitamin E intake on colorectal cancer (CRC) risk. METHODS: In this case-control study of Korean adults (975 cases and 975 age- and sex-matched controls), dietary vitamin E density (mg/1,000 kcal) was measured using a semiquantitative food frequency questionnaire, COMT single nucleotide polymorphism (SNP) rs740603 (A>G) was genotyped, and CRC was verified histologically. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression models with adjustments for potential confounders. RESULTS: Higher vitamin E density was associated with a lower risk of CRC (highest vs. lowest quartiles: OR, 0.72; 95% CI, 0.55 to 0.96; p-for-trend=0.002). When stratified by COMT SNP rs740603 genotype, the inverse association between vitamin E density and CRC risk was confined to those with at least 1 A allele (≥median vs.

Factors influencing TCM syndrome types of acute cerebral infarction: A binomial logistic regression analysis.

BACKGROUND: Acute cerebral infarction, characterized by a rapid onset and high fatality rate, presents a significant global challenge in terms of timely and effective treatment. In recent years, research focusing on the combined approach of traditional Chinese medicine (TCM) and Western medicine has demonstrated promising results in improving therapeutic outcomes in patients with acute cerebral infarction. DIAGNOSIS: This study adhered to the latest edition of Internal Medicine of Traditional Chinese Medicine, published by the China Press of Traditional Chinese Medicine, as a reference. It selects eight commonly encountered TCM syndrome differentiations for accurate diagnosis. METHODS: This study included 151 patients admitted to the hospital between 2019 and 2022 with acute cerebral infarction. Data on various diagnostic indicators were meticulously collected and subjected to single-factor analysis. RESULTS: Among the multiple factors analyzed, those exhibiting a significance level of P < 0.05 included blood pressure, uric acid, glucose level, triglyceride level, total cholesterol level, homocysteine level, duration of disease, and cerebral infarction site. Subsequently, a binary logistic regression analysis was performed to assess the impact of these factors on different TCM syndrome types. CONCLUSION: The findings of this study indicate that Wind Phlegm Obstruction syndrome, triglyceride levels, location of cerebral infarction, uric acid levels, and disease duration significantly influence the development and progression of acute cerebral infarction. Additionally, blood pressure and cerebral infarction site were found to have a statistically significant impact on the Wind Yang Disturbance syndrome. Uric acid level and blood pressure were also identified as statistically significant factors. Moreover, total cholesterol and homocysteine levels were found to significantly affect phlegm stasis-blocking collateral syndrome. The insights gained from this study will contribute to the advancement of integrated treatment approaches, combining traditional Chinese and Western medicine, for acute cerebral infarction. Furthermore, these findings can serve as a valuable reference for the general population in terms of preventive measures against this condition.

Development and validation of non-invasive prediction models for migraine in Chinese adults.

BACKGROUND: Migraine is a common disabling neurological disorder with severe physical and psychological damage, but there is a lack of convenient and effective non-invasive early prediction methods. This study aimed to develop a new series of non-invasive prediction models for migraine with external validation. METHODS: A total of 188 and 94 subjects were included in the training and validation sets, respectively. A standardized professional questionnaire was used to collect the subjects' 9-item traditional Chinese medicine constitution (TCMC) scores, Pittsburgh Sleep Quality Index (PSQI) score, Zung's Self-rating Anxiety Scale and Self-rating Depression Scale scores. Logistic regression was used to analyze the risk predictors of migraine, and a series of prediction models for migraine were developed. Receiver operating characteristic (ROC) curve and calibration curve were used to assess the discrimination and calibration of the models. The predictive performance of the models were further validated using external datasets and subgroup analyses were conducted. RESULTS: PSQI score and Qi-depression score were significantly and positively associated with the risk of migraine, with the area of the ROC curves (AUCs) predicting migraine of 0.83 (95% CI:0.77-0.89) and 0.76 (95% CI:0.68-0.84), respectively. Eight non-invasive predictive models for migraine containing one to eight variables were developed using logistic regression, with AUCs ranging from 0.83 (95% CI: 0.77-0.89) to 0.92 (95% CI: 0.89-0.96) for the training set and from 0.76 (95% CI: 0.66-0.85) to 0.83 (95% CI: 0.75-0.91) for the validation set. Subgroup analyses showed that the AUCs of the eight prediction models for predicting migraine in the training and validation sets of different gender and age subgroups ranged from 0.80 (95% CI: 0.63-0.97) to 0.95 (95% CI: 0.91-1.00) and 0.73 (95% CI: 0.64-0.84) to 0.93 (95% CI: 0.82-1.00), respectively. CONCLUSIONS: This study developed and validated a series of convenient and novel non-invasive prediction models for migraine, which have good predictive ability for migraine in Chinese adults of different genders and ages. It is of great significance for the early prevention, screening, and diagnosis of migraine.

Making the cut on caesarean section: a logistic regression analysis on factors favouring caesarean sections without medical indication in comparison to spontaneous vaginal birth.

BACKGROUND: In the absence of medical necessity, opting for caesarean sections exposes mothers and neonates to increased risks of enduring long-term health problems and mortality. This ultimately results in greater economic burden when compared to the outcomes of spontaneous vaginal births. In Switzerland around 33% of all births are by caesarean section. However, the rate of caesarean sections without medical indication is still unknown. Therefore, we devise an identification strategy to differentiate caesarean sections without medical indication using routine data. In addition, we aim to categorize the influencing factors for women who undergo spontaneous vaginal births as opposed to those with caesarean sections without medical indication. METHOD: We use Swiss Federal Statistics data including 98.3% of all women giving birth from 2014 to 2018. To determine non-medically indicated caesarean sections in our dataset, we base our identification strategy on diagnosis-related groups, diagnosis codes, and procedure classifications. Subsequently, we compare characteristics of women who give birth by non-medically CS and external factors such as the density of practicing midwives to women with spontaneous vaginal birth. Logistic regression analysis measures the effect of factors, such as age, insurance class, income, or density of practicing midwives on non-medically indicated caesarean sections. RESULTS: Around 8% of all Swiss caesarean sections have no medical indication. The regression analysis shows that higher age, supplemental insurance, higher income, and living in urban areas are associated with non-medically indicated caesarean sections, whereas a higher density of midwives decreases the likelihood of caesarean sections without medical indication. CONCLUSIONS: By identifying non-medically indicated caesarean sections using routine data, it becomes feasible to gain insights into the characteristics of impacted mothers as well as the external factors involved. Illustrating these results, our recommendation is to revise the incentive policies directed towards healthcare professionals. Among others, future research may investigate the potential of midwife-assisted pregnancy programs on strengthening spontaneous vaginal births in absence of medical complications.

Association between blood selenium with parkinson's disease in the US (NHANES 2011-2020).

Selenium is an essential trace element for human health, playing a key role in regulating cellular oxidative stress, immune response, and inflammation. In recent years, the association between selenium and Parkinson's disease (PD) has aroused people's attention. The objective of this study is to investigate the relationship between blood selenium concentrations and PD risk in a sample of U.S. adults. A cross-sectional study was conducted using the National Health and Nutrition Examination Survey (NHANES) data from 2011-2020 and included 15,660 adults aged over 40 years old. Univariate logistic regression and multivariate logistic regression models were utilized to analyze the association between blood selenium concentrations and PD prevalence. Additionally, the restricted cubic spline (RCS) model was applied to investigate the dose-response relationships between blood selenium and PD. The findings indicated a link between elevated blood selenium levels and a reduced occurrence of Parkinson's disease (PD). Notably, this association between blood selenium and PD exhibited a non-linear pattern, wherein the decline in PD risk was more pronounced at higher selenium concentrations than at lower levels. An inflection point emerged at approximately 2.4 µmol/L, beyond which the rate of decline in risk significantly diminished with increasing selenium levels. A potential association between blood selenium concentrations and PD has been observed, with PD patients having lower blood selenium levels compared to non-PD patients. Higher levels of blood selenium may have a protective effect against PD. However, further prospective studies are needed to investigate the effect of blood selenium in PD patients and to determine causality.

Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample.

BACKGROUND: In order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 percent. The objective of the present study was to determine the rate and associated factors of usage SBA among Bangladeshi mothers during their delivery. METHODS: This study utilized secondary data that was collected by Bangladesh Demographic and Health Survey (BDHS) 2017-18. The usage of SBA was measured by a question to respondent, who assisted during your delivery? It was classified into two classes; (i) skilled birth attendant (qualified doctors, nurses, midwives, or paramedics; family welfare visitors, community skilled birth attendants, and sub-assistant community medical officers) (code 1), and (ii) unskilled birth attendant (untrained traditional birth attendants, trained traditional birth attendants, relatives, friends, or others) (code 0). Two logistic regression model was used to determine the associated factors of SBA after removing the cluster effect of the outcome variable. RESULTS: This study found 53.2% mothers were delivered by SBA in Bangladesh, among them 56.33% and 42.24% mothers were delivered by nurse/midwife/paramedic and doctor respectively. The two level logistic model demonstrated that geographical location (division), type of residence, religion, wealth index, mothers' body mass index, mothers' education level, mothers' occupation, total ever born children, mothers' age at first birth (year), number of ANC visits, husbands' education level and husbands' occupation were significant (p<0.01) predictors of SBA. Mothers' education and wealth index were the most important contributory factors for SBA in Bangladesh. CONCLUSIONS: This study revealed that still 46.8% mothers are delivered by unskilled birth attendant, this might be treated of Bangladesh Government to achieve SDGs indicator 3.1.2 by 2030. Counseling could be integrated during ANC to increase awareness, and should ensure for every Bangladeshi mothers visit ANC service during their pregnancy at least 4 times.

Association of niacin intake with constipation in adult: result from the National Health and Nutrition Examination.

BACKGROUND: Although dietary intake is believed to be associated with constipation, there is currently a lack of research exploring the relationship between niacin intake and constipation. Therefore, the aim of this study is to investigate the association between niacin intake in adults and constipation using data from the National Health and Nutrition Examination Survey (NHANES). METHODS: This study included 5170 participants (aged ≥ 20 years) from the NHANES survey conducted between 2009 and 2010. Participants who reported experiencing constipation "always", "most of the time", or "sometimes" in the past 12 months were defined as constipation cases. The daily niacin intake was obtained from dietary recall and dietary supplement recalls of the patients. Weighted multivariate logistic regression analysis, restricted cubic spline regression, subgroup analysis, and interaction analysis were used to assess the correlation between niacin intake and constipation. RESULTS: After adjustment for covariates, the multivariate logistic regression model showed that low niacin intake was associated with a higher risk of constipation (Model 1: OR: 0.917, 95% CI 0.854-0.985, P = 0.023; Model 2: OR: 0.871, 95% CI 0.794-0.955, P = 0.01). After dividing niacin intake into four groups, a daily intake of 0-18 mg niacin was associated with a higher risk of constipation (Model 1: OR: 1.059, 95% CI 1.012-1.106, P = 0.019; Model 2: OR: 1.073, 95% CI 1.025-1.123, P = 0.013). The restricted cubic spline regression analysis also showed a non-linear relationship between niacin intake and the risk of constipation. CONCLUSION: The findings of this study suggested that daily intake of 0-18 mg of niacin was associated with a higher risk of constipation compared to a daily intake of 18-27 mg of niacin.

Iron-rich food consumption and associated factors among children aged 6-23 months in Sierra Leone: multi-level logistic regression analysis.

BACKGROUND: Iron deficiency is the most common micronutrient deficiency worldwide. Also, iron deficiency is a significant public health problem in low- and middle-income countries. Thus, this study aimed to assess iron-rich food consumption and associated factors among children aged 6-23 months in Sierra Leone. METHOD: This study is a cross-sectional study based on data from the Sierra Leone Demographic and Health Survey dataset with a total weighted sample of 2622 children aged 6-23 months. Data cleaning, coding, and labeling were done using STATA version 14 software. A multilevel logistic regression model was employed to identify associated factors. RESULT: Almost half (53.38%) of children aged between 6-23 months consumed iron-rich foods. The odds of iron rich food consumption were high among children in the age group of 12-17 months (AOR = 4.81, 95% CI: 3.67, 6.31) and 18-23 months (AOR = 9.3, 95% CI: 6.55, 13.2), and who fed minimum acceptable diet (AOR = 22.5, 95% CI: 11.65, 43.46). Moreover, a child from a mother who had work (AOR = 1.49, 95% CI: 1.08, 2.06), and with a mother who had more than four ANC visits during her pregnancy of the most recent live birth (AOR = 1.87; 95%CI: 1.36-2.55) had higher odds of iron-rich food consumption compared to their counterparts. On the other hand, children who were breastfeeding (AOR = 0.72, 95% CI: 0.53, 0.97), and mothers aged 15-19 (AOR = 0.48, 95% CI: 0.27, 0.85) decreased the odds of iron rich food consumption. CONCLUSION: Consumption of iron-rich food is low among children aged 6-23 months in Sierra Leone. Iron-rich food consumption among children was significantly associated with maternal occupation, child's age, child's breastfeeding status, taking drugs for intestinal parasites, minimum acceptable diet, frequency, and timing of ANC, and region. Thus, special emphasis should be given to those children aged between 6-11 months, currently breastfeeding, children who did not get the minimum acceptable diet, and children from women who did not have work.

The birth center model of care: Staffing, business characteristics, and core clinical outcomes.

OBJECTIVES: Interest in expanding access to the birth center model is growing. The purpose of this research is to describe birth center staffing models and business characteristics and explore relationships to perinatal outcomes. METHODS: This descriptive analysis includes a convenience sample of all 84 birth center sites that participated in the AABC Site Survey and AABC Perinatal Data Registry between 2012 and 2020. Selected independent variables include staffing model (CNM/CM or CPM/LM), legal entity status, birth volume/year, and hours of midwifery call/week. Perinatal outcomes include rates of induction of labor, cesarean birth, exclusive breastfeeding, birthweight in pounds, low APGAR scores, and neonatal intensive care admission. RESULTS: The birth center model of care is demonstrated to be safe and effective, across a variety of staffing and business models. Outcomes for both CNM/CM and CPM/LM models of care exceed national benchmarks for perinatal quality with low induction, cesarean, NICU admission, and high rates of breastfeeding. Within the sample of medically low-risk multiparas, variations in clinical outcomes were correlated with business characteristics of the birth center, specifically annual birth volume. Increased induction of labor and cesarean birth, with decreased success breastfeeding, were present within practices characterized as high volume (>200 births/year). The research demonstrates decreased access to the birth center model of care for Black and Hispanic populations. CONCLUSIONS FOR PRACTICE: Between 2012 and 2020, 84 birth centers across the United States engaged in 90,580 episodes of perinatal care. Continued policy development is necessary to provide risk-appropriate care for populations of healthy, medically low-risk consumers.

Patients' willingness to accept adverse event and cost tradeoffs from oral nicotinamide for reduced risk of non-melanoma skin cancer.

BACKGROUND: Non-immunosuppressed patients with a history of multiple non-melanoma skin cancers (NMSCs) taking oral nicotinamide supplementation experienced a 23% decrease in annual NMSC risk in a randomized clinical trial. Patient preferences for risks and costs associated with nicotinamide are unknown. OBJECTIVES: To understand how patients prioritize NMSC reduction, infection risk, and cost. METHODS: A sample of adults with history of ≥2 NMSC within the past five years undergoing Mohs procedure completed a discrete-choice experiment comprising two hypothetical treatments-characterized by varying reductions in NMSC incidence, increased severe infection risk, and cost-and no treatment. The data were analyzed with random-parameters logit models. RESULTS: A total of 203 subjects (mean age 71.5 years, 65.5% males) participated. For a 23% annual reduction in NMSC incidence, a 26% [95% CI: 8%-45%] annual increase in severe infection risk and $8 [95% CI: $2-14] monthly cost was acceptable. Outcomes across analyzed subgroups (before vs. during COVID pandemic, site of interview, less vs. more prior NMSCs) were similar. CONCLUSIONS: Patients were unwilling to accept high severe infection risks to obtain the reduction in NMSC incidence observed in a nicotinamide trial, suggesting that routinely recommending nicotinamide may run counter to some patients' preferences.

Preferred language and disease severity predict evaluation for liver transplantation among patients admitted with alcohol-associated hepatitis.

BACKGROUND: Liver transplantation (LT) for alcohol-associated hepatitis (AH) is a relatively new practice and limited work exists surrounding the role social determinants of health may play in evaluation. This includes language that defines how patients interact with the healthcare system. We explored characteristics of patients with AH evaluated for LT within an integrated health system. METHODS: Using a system-wide registry, we identified admissions for AH from 1 January 2016 to 31 July 2021. A multivariable logistic regression model was developed to evaluate independent predictors of LT evaluation. RESULTS: Among 1723 patients with AH, 95 patients (5.5%) underwent evaluation for LT. Evaluated patients were more likely have English as their preferred language (95.8% vs 87.9%, P = 0.020), and had higher INR (2.0 vs 1.4, P < 0.001) and bilirubin (6.2 vs 2.9, P < 0.001). AH patients who underwent evaluation had a lower burden of mood and stress disorders (10.5% vs 19.2%, P < 0.05). Patients with English preferred language had a greater than three times adjusted odds of LT evaluation compared with all others when adjusting for clinical disease severity, insurance status, sex, and psychiatric comorbid conditions (OR, 3.20; 95% CI, 1.14-9.02). CONCLUSION: Patients with AH evaluated for LT were more likely to have English as their preferred language, more psychiatric comorbidities, and more severe liver disease. Despite adjustment for psychiatric comorbidities and disease severity, English preferred language remained the strongest predictor of evaluation. As programs expand LT for AH, it is vital to build equitable systems that account for the interaction between language and healthcare in transplantation.

Negative associations between folate and bacterial vaginosis in the NHANES 2001 to 2004.

BACKGROUND: Bacterial vaginosis (BV) is one of the most common infections among women of reproductive age and accounts for 15-50% of infections globally. The role played by folate in the pathogenesis and progression of BV is poorly understood. The aim of this study was to investigate the association between serum folate, red blood cell (RBC) folate, and BV in American women. METHODS: 1,954 participants from the 2001-2004 National Health and Nutrition Examination Survey (NHANES) program were included in this study. Multiple logistic regression was used to analyze the association between serum folate, RBC folate, and BV, and covariates including race, age, education level, and body mass index were used to construct adjusted models. Stratified analysis was used to explore the stability of the above associations in different populations. RESULTS: In the present cross-sectional study, we found that serum folate and RBC folate were inversely associated with the risk of BV. In the fully adjusted model, the risk of BV was reduced by 35% (OR=0.65, 95% CI: 0.51~0.83, p=0.0007) in the highest serum folate group and 32% (OR=0.68, 95% CI: 0.53~0.87, p=0.0023) in the highest RBC folate group compared to the lowest group. CONCLUSIONS: The results of this study indicated that serum folate and RBC folate were inversely associated with the risk of BV folate supplementation may play an important role in the prevention and management of BV.

Association Between a Medical School Applicant's Community College Attendance and the Likelihood of Application Acceptance: An Investigation of Select Medical School Characteristics.

PURPOSE: One-third of medical school applicants attend a community college (CC), and they represent a diverse group of applicants. However, they have a lower likelihood of being accepted to medical school. Using application-level data, this study examines how an applicant's CC attendance impacts the likelihood of application acceptance and how 3 medical school characteristics moderate this association. METHOD: Data examined were from 2,179,483 applications submitted to at least one of 146 U.S. Liaison Committee on Medical Education-accredited medical schools by 124,862 applicants between 2018 and 2020. The outcome was application acceptance. The main measures were applicants' CC attendance (no, lower [> 0%-19% of college course hours], or higher [≥ 20%]) and 3 medical school characteristics: geographic region, private versus public control, and admissions policy regarding CC coursework. Multilevel logistic regression models estimated the association between CC attendance and the likelihood of application acceptance and how this association was moderated by school characteristics. RESULTS: Among applicants, 23.8% (29,704/124,862) had lower CC attendance and 10.3% (12,819/124,862) had higher CC attendance. Regression results showed that, relative to no CC attendance, applications with lower (adjusted odds ratio [AOR] = .96; 95% confidence internal [CI], .94-.97) and higher (AOR = .78; 95% CI, .76-.81) CC attendance had significantly decreased odds of acceptance when the 3 school characteristics were included. Each of the 3 medical school characteristics significantly moderated the association between an applicant's CC attendance and the likelihood of application acceptance. CONCLUSIONS: The negative association between CC attendance and medical school application acceptance varies by medical school characteristics. Professional development for admissions officers focused on understanding the CC pathway and potential biases related to CC attendance would likely be beneficial in terms of trying to attract and select a diverse cohort of medical students in a holistic and equitable manner.