Discordance in chromosomal and self-reported sex in the UK Biobank: Implications for transgender- and intersex-inclusive data collection.

There is growing need to distinguish between sex and gender. While sex is assigned at birth, gender is socially constructed and may not correspond to one's assigned sex. However, in most research studies, sex or gender is assessed in isolation or the terms are used interchangeably, which has implications for research accuracy and inclusivity. We used data from the UK Biobank to quantify the prevalence of disagreement between chromosomal and self-reported sex and identify potential reasons for discordance. Among approximately 200 individuals with sex discordance, 71% of discordances were potentially explained by the presence of intersex traits or transgender identity. The findings indicate that when describing sex- and/or gender-specific differences in health, researchers may be limited in their ability to draw conclusions regarding specific sex and/or gender health information.

Depression at the intersection of race/ethnicity, sex/gender, and sexual orientation in a nationally representative sample of US adults: A design-weighted intersectional MAIHDA.

This study examined how race/ethnicity, sex/gender, and sexual orientation intersect under interlocking systems of oppression to socially pattern depression among US adults. With cross-sectional data from the 2015-2020 National Survey on Drug Use and Health (NSDUH; n=234,722), we conducted design-weighted multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) under an intersectional framework to predict past-year and lifetime major depressive episode (MDE). With 42 intersectional groups constructed from seven race/ethnicity, two sex/gender, and three sexual orientation categories, we estimated age-standardized prevalence and excess/reduced prevalence attributable to two-way or higher interaction effects. Models revealed heterogeneity across groups, with prevalence ranging from 1.9-19.7% (past-year) and 4.5-36.5% (lifetime). Approximately 12.7% (past-year) and 12.5% (lifetime) of total individual variance were attributable to between-group differences, indicating key relevance of intersectional groups in describing the population distribution of depression. Main effects indicated, on average, people who were White, women, gay/lesbian, or bisexual had greater odds of MDE. Main effects explained most between-group variance. Interaction effects (past-year: 10.1%; lifetime: 16.5%) indicated a further source of heterogeneity around averages with groups experiencing excess/reduced prevalence compared to main effects expectations. We extend the MAIHDA framework to calculate nationally representative estimates from complex sample survey data using design-weighted, Bayesian methods.

HIV estimation using population-based surveys with non-response: A partial identification approach.

HIV estimation using data from the demographic and health surveys (DHS) is limited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instrument. Using Manski's partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and compare our method against its competitors. We illustrate the proposed method using DHS data from Zambia, Malawi and Kenya. Our simulations show that imputation leads to seriously biased results even under mild violations of non-random missingness. Using worst case identification bounds that do not make assumptions about the non-response mechanism is robust but not informative. By taking the union of instrumental variable bounds balances informativeness of the bounds and robustness to inclusion of some invalid instruments. Non-response and refusals are ubiquitous in population based HIV data such as those collected under the DHS. Partial identification bounds provide a robust solution to HIV prevalence estimation without strong assumptions. Union bounds are significantly more informative than the worst case bounds without sacrificing credibility.

Epidemiology of overweight in under-five children in India: insights from National Family Health Survey.

Childhood overweight is not only an immediate health concern due to its implications but also significantly increases the risk of persistent obesity and consequently CVD in the future, posing a serious threat to public health. The objective of this study was to examine the trends and associated factors of childhood overweight in India, using nationally representative data from three rounds of the National Family Health Survey (NFHS). For the primary analysis, we used data from 199 375 children aged 0-59 months from fifth round of the NFHS (NFHS-5). Overweight was defined as BMI-for-age Z (BMI Z) score > +2 sd above the WHO growth standards median. We compared the prevalence estimates of childhood overweight with third round of the third round of NFHS and fourth round of the NFHS. Potential risk factors were identified through multiple logistic regression analyses. The prevalence of overweight increased from 1·9 % in third round of NFHS to 4·0 % in NFHS-5, a trend seen across most states and union territories, with the Northeast region showing the highest prevalence. The BMI Z-score distributions from the latest two surveys indicated that the increase in overweight was substantially larger than the decrease in underweight. The consistent upward trend in the prevalence across different demographic groups raises important public health concerns. While undernutrition rates have remained relatively stable, there has been a noticeable rise in the incidence of overweight during the same time frame. The increasing trend of overweight among children in India calls for immediate action.

Association between alcohol consumption and chronic kidney disease: a population-based survey.

BACKGROUND: Alcohol consumption is associated with both beneficial and harmful effects, and the role of alcohol consumption in chronic kidney disease (CKD) remains inconclusive. This study aimed to investigate the relationship between alcohol consumption and CKD or estimated glomerular filtration rate (eGFR). METHODS: This study enrolled adults from the second Taiwanese Survey on Prevalences of Hypertension, Hyperglycemia, and Hyperlipidemia, conducted in 2007. Participants were categorized into frequent drinkers, occasional drinkers, and nondrinkers. The amount of alcohol consumption was assessed by standard drinks per week. The primary outcome was the presence of CKD, and the secondary outcome was the eGFR. RESULTS: Among 3967 participants with a mean age of 47.9 years and a CKD prevalence of 11.7%, 13.8% were frequent drinkers, and 23.1% were occasional drinkers. The average amount of alcohol consumed was 3.3 drinks per week. Frequent drinkers (odds ratio [OR] 0.622, 95% confidence interval [CI] 0.443-0.874) and occasional drinkers (OR 0.597 95% CI 0.434-0.821) showed a lower prevalence of CKD than nondrinkers. Consumption of a larger number of standard drinks was associated with a lower prevalence of CKD (OR 0.872, 95% CI 0.781-0.975). Frequent drinkers and those who consumed a larger number of standard drinks per week showed higher eGFRs. CONCLUSION: Within the range of moderate alcohol intake, those who consumed more alcohol had a higher eGFR and reduced prevalence of CKD. The potentially harmful effects of heavy drinking should be taken into consideration, and alcohol intake should be limited to less than light to moderate levels.

An analysis of the dual burden of childhood stunting and wasting in Myanmar: a copula geoadditive modelling approach.

OBJECTIVE: To analyze the spatial variation and risk factors of the dual burden of childhood stunting and wasting in Myanmar. DESIGN: Analysis was carried out on nationally representative data obtained from the Myan-mar Demographic and Health Survey conducted during 2015-2016. Childhood stunting and wasting are used as proxies of chronic and acute childhood undernutrition. A child with standardized height-for-age Z score (HAZ) below -2 is categorized as stunted while that with a weight-for-height Z score (WHZ) below -2 as wasted. SETTING: A nationally representative sample of households from the 15 states and regions of Myanmar. PARTICIPANTS: Children under the age of five (n 4162). RESULTS: Overall marginal prevalence of childhood stunting and wasting were 28.9% (95% CI 27.5, 30.2) and 7.3% (95% CI 6.5, 8.0) while their concurrent prevalence was 1.6% (95% CI 1.2, 2.0). The study revealed mild positive association between stunting and wasting across Myanmar. Both stunting and wasting had significant spatial variation across the country with eastern regions having higher burden of stunting while southern regions having higher prevalence of wasting. Child age and maternal weight-for-height Z score had significant non- linear association with both stunting and wasting while child gender, ethnicity and household wealth quintile had significant association with stunting. CONCLUSION: The study provides data-driven evidence about the association between stunting and wasting and their spatial variation across Myanmar. The resulting insights can aid in the formulation and implementation of targeted, region-specific interventions towards improving the state of childhood under-nutrition in Myanmar.

The Danish Health Survey among Marginalized People: Study design and respondent characteristics.

AIM: The Danish Health Survey among Marginalized People is a nationwide health survey targeting people in marginalized life situations in Denmark. The aim of this paper is to present the study design, data collection methods and respondent characteristics of the survey, which was conducted in 2007, 2012, 2017 and 2022. METHODS: The survey applies an outreach data collection approach which entails reaching out to social services (public and private) asking for their help with distributing self-administered paper questionnaires among their users. Themes include self-rated health, mental health, morbidity, pain, oral health, health behaviours, gambling problems, social relations, violence, sexual harassment and assault, suicide, and source of income. RESULTS: The overall number of respondents has decreased slightly from 2007 (1290) to 2022 (1134). In all survey waves, men were overrepresented among the respondents. In 2007, women represented only 28%, which increased to 37% in 2022. There have been remarkable changes in the age distribution among respondents between 2007 and 2022. For example, the oldest age group (55-80 years) accounted for 15% of the respondents in 2007 and 40% in 2022. CONCLUSIONS: Conducting surveys among marginalized people entails methodological challenges and ethical considerations. However, continually attempting to reach marginalized people in surveys by tailoring data collection strategies to their specific life situation is essential to gain insight into their health and well-being.

Prevalence, clinical characteristics, and disease burden of chronic cough in Italy: a cross-sectional study.

BACKGROUND: Chronic cough has been associated with reduced health-related quality of life, negative impacts on sleep, work, and other daily activities, and increased use of health care resources. Little is known about the prevalence of chronic cough in Italy. In the present study we sought to estimate the prevalence of chronic cough in Italy, describe sociodemographic and clinical characteristics associated with chronic cough, and characterize the impact of chronic cough on overall health and wellness, work and other daily activities, and health care resource use. METHODS: We conducted a cross-sectional study to collect sociodemographic and health-related data from Italian residents who participated in the 2020 National Health and Wellness Survey (N = 10,026). To assess the characteristics and burden of chronic cough, adults who indicated that they had experienced chronic cough during the prior 12 months were compared with propensity score-matched controls without chronic cough. RESULTS: The estimated weighted lifetime and 12-month prevalence of chronic cough were estimated as 9.2% and 6.3%, respectively. Compared with matched controls, respondents with chronic cough had significantly lower measures of overall physical and mental health (P < .001 for both comparisons), and significantly higher rates of anxiety, depression, and sleep disorders (P < .001 for all comparisons). Chronic cough was significantly associated with higher rates of impairment of work and other activities (P < .001 for all comparisons) in the past 7 days, any-cause emergency department visits and hospitalizations in the prior 6 months (P < .001 for both comparisons), and more visits to general and specialist health care providers (P < .001 for both comparisons) in the prior 6 months. CONCLUSIONS: In Italy, chronic cough affects an estimated 3.3 million adults annually and represents a significant burden to individuals and the health care system. TAKE HOME MESSAGE: Little is known about the prevalence of chronic cough in Italy. We found that, in Italy chronic cough represents a significant burden to individuals and the health care system, affecting an estimated 3.3 million adults annually.

Precision assessment of a hypertension prevalence survey.

BACKGROUND: Population surveys are crucial for public policy planning and provide valuable representative data. In the health sector studies to identify and assess the prevalence of Arterial Hypertension (AH), a chronic non-communicable disease (NCD), along with its associated risk factors have been conducted. OBJECTIVES: This study aims to assess the effectiveness of a population health survey in estimating the prevalence of arterial hypertension (AH) in the Sorocaba municipality between August 2021 and June 2023. METHODS: The analyzed performance indicator is the precision (design effect - deff) of AH prevalence in adults (≥ 18 years) and their exposure to primary risk factors. The total sample included 1,080 individuals from the urban area, deemed sufficient to estimate a deff of 1.5. This cluster-based study utilized census sectors as clusters, with data collected through household interviews, standardized questionnaires, and measurements of blood pressure and biometric parameters. The deff calculation formula used was weighted variance / raw variance. The Research Ethics Committee approved this study, with registration CAAE 30538520-1-0000-5373. RESULTS: The deff values ranged from 0.44 for chronic obstructive pulmonary disease to 1.63 for asthma, with a deff of 1.00 for AH prevalence. CONCLUSION: The study demonstrated good precision in its results, with high receptivity and cooperation from participants. The cost-effectiveness of the research deemed appropriate. The technique of selecting households within clusters (census sectors) based on detailed mapping and demographic data from the Instituto Brasileiro de Geografia e Estatística (IBGE) proved to be practical and efficient, suitable for replication in other municipalities and for studying other NCDs.

Discrepancies in prevalence estimates of suicidal ideation and attempts in 18- to 22-year-old US college students: a comparison of three surveys.

PURPOSE: Suicidal thoughts and behaviors (STB) have been increasing among US college students. Accurate measurement of STB is key to understanding trends and guiding suicide prevention efforts. We aimed to compare the prevalence estimates of STB among college students from two campus-based surveys (the National College Health Assessment [NCHA] and the Healthy Minds Study [HMS]) and one general population study (the National Survey on Drug Use and Health [NSDUH]). METHODS: Estimates were generated from the three surveys for past year suicidal ideation (PYSI) and past year suicide attempts (PYSA) among 18- to 22-year-old full-time college students. Data were combined from each survey to develop bivariate and multivariate regression models for odds of PYSI and PYSA. RESULTS: Estimates for PYSI varied between the three surveys: 34.3% for NCHA, 15.0% for HMS, and 10.7% for NSDUH. Estimates for PYSA were 2.6% for NCHA, 1.6% for HMS, and 1.7% for NSDUH. After adjusting for demographic and educational characteristics, odds of PYSI remained significantly lower for HMS participants (aOR 0.31, 95% CI 0.29-0.33) and NSDUH participants (aOR 0.19, 95% CI 0.19-0.30) compared to NCHA participants. The odds of PYSA for HMS participants were lower than those for NCHA participants (aOR 0.63, 95% CI 0.54-0.73). CONCLUSION: Estimates of PYSI and PYSA vary between leading sources of data on college student mental health. The differences are likely related to question wording, survey implementation, as well as institutional and individual representation. Accounting for these differences when interpreting estimates of STB can help guide suicide prevention efforts.

Gestational Diabetes Prevalence Estimates from Three Data Sources, 2018.

INTRODUCTION: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey). METHODS: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories. RESULTS: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics. DISCUSSION: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM.

GIS-based spatiotemporal mapping of malaria prevalence and exploration of environmental inequalities.

Malaria poses a significant threat to global health, with particular severity in Nigeria. Understanding key factors influencing health outcomes is crucial for addressing health disparities. Disease mapping plays a vital role in assessing the geographical distribution of diseases and has been instrumental in epidemiological research. By delving into the spatiotemporal dynamics of malaria trends, valuable insights can be gained into population dynamics, leading to more informed spatial management decisions. This study focused on examining the evolution of malaria in Nigeria over twenty years (2000-2020) and exploring the impact of environmental factors on this variation. A 5-year-period raster map was developed using malaria indicator survey data for Nigeria's six geopolitical zones. Various spatial analysis techniques, such as point density, spatial autocorrelation, and hotspot analysis, were employed to analyze spatial patterns. Additionally, statistical methods, including Principal Component Analysis, Spearman correlation, and Ordinary Least Squares (OLS) regression, were used to investigate relationships between indicators and develop a predictive model. The study revealed regional variations in malaria prevalence over time, with the highest number of cases concentrated in northern Nigeria. The raster map illustrated a shift in the distribution of malaria cases over the five years. Environmental factors such as the Enhanced Vegetation Index, annual land surface temperature, and precipitation exhibited a strong positive association with malaria cases in the OLS model. Conversely, insecticide-treated bed net coverage and mean temperature negatively correlated with malaria cases in the same model. The findings from this research provide valuable insights into the spatiotemporal patterns of malaria in Nigeria and highlight the significant role of environmental drivers in influencing disease transmission. This scientific knowledge can inform policymakers and aid in developing targeted interventions to combat malaria effectively.

Exploring Disparities for Obesity in Korea Using Hierarchical Age-Period-Cohort Analysis With Cross-Classified Random Effect Models.

BACKGROUND: This research article investigates the age, period, and birth cohort effects on prevalence of obesity in the Korean population, with the goal of identifying key factors to inform effective public health strategies. METHODS: We analyzed data from the Korea National Health and Nutrition Examination Survey, spanning 2007-2021, including 35,736 men and 46,756 women. Using the hierarchical age-period-cohort (APC) analysis with cross-classified random effects modeling, we applied multivariable mixed logistic regression to estimate the marginal prevalence of obesity across age, period, and birth cohort, while assessing the interaction between APC and lifestyle and socioeconomic factors. RESULTS: Our findings reveal an inverted U-shaped age effect on obesity, influenced by smoking history (P for interaction = 0.020) and physical activity (I for interaction < 0.001). The period effect was positive in 2020 and 2021, while negative in 2014 (P for period effect < 0.001). A declining trend in obesity prevalence was observed in birth cohorts from 1980s onward. Notably, disparities in obesity rates among recent birth cohorts have increased in relation to smoking history (P for interaction = 0.020), physical activity (P for interaction < 0.001), and residence (P for interaction = 0.005). Particularly, those born after 1960 were more likely to be obese if they were ex-smokers, physical inactive, or lived in rural areas. CONCLUSION: These findings highlight growing disparities in obesity within birth cohorts, underscoring the need for targeted health policies that promote smoking cessation and physical activity, especially in rural areas.

Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.

BACKGROUND: Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in Nigeria and identify the most relevant predictors. METHODS: The study used nationally representative data from the 2018 Nigeria Demographic and Health Survey. The study evaluated the performance of the machine learning models such as the artificial neural network, k-nearest neighbourhood, Support Vector Machine, Naïve Bayes, Random Forest, and Logistic Regression using the true positive rate, false positive rate, accuracy, precision, F-measure, Matthew's correlation coefficient, and the Area Under the Receiver Operating Characteristics. RESULTS: The study found that machine learning models can accurately predict under-five mortality, with the Random Forest and Artificial Neural Network algorithms emerging as the best models, both achieving an accuracy of 89.47% and an AUROC of 96%. The results show that under-five mortality rates vary significantly across different characteristics, with wealth index, maternal education, antenatal visits, place of delivery, employment status of the woman, number of children ever born, and region found to be the top determinants of under-five mortality in Nigeria. CONCLUSIONS: The findings suggest that machine learning models can be useful in predicting U5M in Nigeria with high accuracy. The study emphasizes the importance of addressing social, economic, and demographic disparities among the population in Nigeria. The study's findings can inform policymakers and health workers about developing targeted interventions to reduce under-five mortality in Nigeria.

Helmet wearing and related factors among electric personal mobility device users in Korea.

Using data from the 2022 Korea Community Health Survey (n = 13 320), this study investigated helmet use and related factors among Korean adults using personal mobility devices, without distinguishing between private and hired users. Among mobility device users, 32.1% responded that they always wore a helmet. The proportion of helmet use was 35.2% among men, 25.8% among women, 29.2% among those aged 19-44 years, 42.3% among those aged 45-64 years and 26.6% among those aged 65 years or older. Furthermore, those who drank less frequently and were physically active were more likely to wear helmets. Moreover, people who always wore a seat belt when driving a car or sitting in the rear seat and people who always wore a helmet when riding a motorcycle were more likely to wear a helmet while using electric personal mobility devices. Approximately one-third of users always wore a helmet. The helmet-wearing rate was related to general characteristics such as gender and education level, and to safety behaviors such as wearing a seat belt when driving a car, sitting in the rear seat of a car, or when riding a motorcycle. In addition to considering personal characteristics investigated in this study, the helmet-wearing rate should be improved through policies or systems at the national or regional levels.

Food insecurity and periodontitis in US adults.

OBJECTIVES: To determine the relationship between food insecurity and periodontitis among adults in the United States (US). METHODS: Secondary analysis of the 2009-2014 National Health and Nutrition Examination Survey data. The sample included 6,108 US participants aged ≥ 30 years in a probability weighted sample. Periodontitis status was measured in full-month oral examinations at 6 sites per tooth for clinical attachment loss and periodontal probing depth. Food insecurity was assessed by the 18-item US Food Security Survey Module. RESULTS: Controlling for covariates, multiple logistic regression showed that periodontitis was associated with low food security (adjusted odds ratio (aOR)=1.30, 95% CI: 1.08-1.57). Risk factors for periodontitis included HbA1c ≥ 7% (aOR=1.74, 95% CI: 1.26-2.40), seeking emergency dental care (aOR=1.36, 95% CI:1.19-1.55), smoking status, racial minorities, low income, and older age. Protective factors for periodontitis were annual dental visit (aOR=0.52, 95% CI: 0.43-0.64), health insurance (aOR=0.66, 95% CI: 0.54-0.80), female gender, and college education. CONCLUSIONS: Food insecurity was associated with a higher risk of periodontitis among US adults. Having enough food to eat is a basic human right and would improve well-being.

Tobacco smoking and tooth loss in adults and elderly in Brazil: a populational-based cross-sectional study.

OBJECTIVES: To determine the association between smoking and tooth loss in individuals aged 18 years or more living in Brazil. METHODS: Secondary analysis of the 2019 Brazilian National Health Survey data. The outcome was self-reported tooth loss, and the main independent variable was tobacco smoking. Family income, schooling, sex and age were covariates. Multiple linear regression analysis determined the association between tobacco smoking and the number of missing teeth and then the average number of missing teeth was predicted according to smoking status. RESULTS: The mean number of missing teeth in 88,531 individuals aged 18 or more was 7.7 (95%CI: 7.6-7.8). At least one missing tooth was identified in 72.0% (95%CI: 71.4-72.6) of the population, 21.3% (95%CI: 20.9-21.7) had a non-functional dentition, 14.2% (95%CI: 13.9-14.6) had severe tooth loss and 10.3% (95%CI: 10.0-10.6) were edentulous. The adjusted regression coefficients for number of missing teeth showed that current or former smokers, individuals with low family income and schooling, older age and females exhibited higher tooth loss. Current and former smokers had 1.40 (95%CI: 1.35-1.46) and 1.13 (95%CI: 0.54-0.98) times more lost teeth than never smokers, respectively. CONCLUSIONS: Both tooth loss and smoking are common in Brazilians and are associated. Unfavorable socioeconomic status and demographic factors also predict tooth loss.

Prevalence of trachoma in indigenous and non-indigenous areas, Northeastern Brazil, 2019-2021.

Objective: To estimate the prevalence of trachoma in indigenous and non-indigenous populations in selected areas of the state of Maranhão, in northeastern Brazil. Methods: This was a population-based survey with probabilistic sampling. For the diagnosis of trachoma, external ocular examination was performed using head magnifying loupes, at 2.5X magnification. The prevalence of trachomatous inflammation - follicular (TF) in children aged 1-9 years and the prevalence of trachomatous trichiasis (TT) in the population aged ≥15 years were estimated. Relative frequencies of sociodemographic and environmental characteristics were obtained. Results: The study included 7 971 individuals, 3 429 from non-indigenous populations and 4 542 from indigenous populations. The prevalence of TF in non-indigenous and indigenous populations was 0.1% and 2.9%, respectively, and the prevalence of TT among indigenous populations was 0.1%. Conclusions: The prevalence of TF and TT in the two evaluation units in the state of Maranhão were within the limits recommended for the elimination of trachoma as a public health problem. However, the prevalence of TF was higher in the indigenous evaluation unit, indicating a greater vulnerability of this population to the disease. The prevalence of TF of below 5.0% implies a reduction in transmission, which may have resulted from improved socioeconomic conditions and/or the implementation of the World Health Organization SAFE strategy.

Association between dietary supplements and frailty: a cross-sectional study using national survey data in South Korea.

We aimed to examine the association between the use of specific types of dietary supplements and frailty using cross-sectional, nationally representative survey data. Adults aged ≥50 years in the Korea National Health and Nutrition Examination Survey 2018-2020 were included. We calculated a 46-item frailty index to assess frailty. In total, 27,384 older adults were included (mean age: 62.47 years; median frailty index: 0.12). Among them, 72% used at least one dietary supplement. The prevalence of dietary supplement use was higher among women than among men and in participants with higher socioeconomic status. Compared to non-users, users of dietary supplements had a healthier diet and nutrient intake, and lower levels of frailty. After adjusting for socioeconomic and dietary factors, users of vitamin C, red ginseng or calcium were found to be significantly less frail. Our findings indicate promising results concerning dietary supplement intake in managing frailty among older Korean adults.

Caregiver-reported dental manifestations in individuals with genetic neurodevelopmental disorders.

BACKGROUND: Children with neurodevelopmental disorders (NDDs) often have poor oral health and dental abnormalities. An increasing number of genes have been associated with neurodevelopmental conditions affecting the oral cavity, but the specific dental features associated with many genes remain unknown. AIM: To report the types and frequencies of dental manifestations in children with neurodevelopmental conditions of known genetic cause. DESIGN: A 30-question survey assesing ectodermal and dental features was administered through Simons Searchlight, with which formed a recontactable cohort of individuals with genetic NDDs often associated with autism spectrum disorder (ASD). RESULTS: Data were collected from a largely paediatric population with 620 affected individuals across 39 genetic conditions and 145 unaffected siblings without NDDs for comparison. Drooling, difficulty accessing dental care, late primary teeth eruption, abnormal primary and permanent teeth formation, misshapen nails, and hair loss were more frequent in individuals with NDDs. Additionally, we evidenced an association between three new pathogenic gene variant/oral manifestation pairs: CSNK2A1/unusual primary teeth, DYRK1A/late primary teeth eruption, and PPP2R5D/sialorrhea. CONCLUSION: Our results demonstrate that genetic NDDs caused by mutations in CSNK2A1, DYRK1A, and PP2R5D are associated with unique dental manifestations, and knowledge of these features can be helpful to personalize dental care.