National Sample Research Articles

What Makes a Good Match? Predictors of Quality Mentorship Among Doctoral Students.

Quality mentoring promotes graduate student success. Despite an abundance of practical advice, empirical evidence regarding how to match mentees and mentors to form quality mentoring relationships is lacking. Here, we examine the influence of variables theorized to predict mentorship support and quality in a national sample of 565 science doctoral students from 70 universities in 38 states. Our structural equation modeling results indicate that mentor rank, mentee capital, and the relationship matching mechanism (direct admissions, rotations) were not associated with higher-quality relationships. We found no support for the widely held belief that students whose mentors shared their gender, race, or ethnicity experienced greater mentorship quality. Rather, mentees who shared attitudes, beliefs, and values with their mentor, or whose mentors displayed greater cultural awareness experienced more supportive, higher quality mentoring. Furthermore, these patterns were largely consistent across both mentee and mentor demographic groups. These results highlight the potential benefits of pairing mentees and mentors who share personal and intrinsic qualities rather than demographic or surface-level attributes. Our findings also indicate that graduate students from marginalized backgrounds can be effectively mentored by faculty who are demographically dissimilar if their mentors engage in culturally aware mentorship.

Survival of In-Hospital Cardiopulmonary Arrest in Trauma Patients

IntroductionRelative to other hospitalized patients, trauma patients are younger with fewer comorbidities, but the incidence and outcomes of in-hospital cardiopulmonary arrest (IHCA) with cardiopulmonary resuscitation (CPR) in this population is unknown. Therefore, we aimed to investigate factors associated with survival in trauma patients after IHCA to test the hypothesis that compared to other hospitalized patients, trauma patients with IHCA have improved survival. MethodsRetrospective review of the Trauma Quality Improvement Program database 2017 to 2019 for patients who had IHCA with CPR. Primary outcome was survival to hospital discharge. Secondary outcomes were in-hospital complications, hospital length of stay, intensive care unit length of stay, and ventilator days. Data were compared with univariate and multivariate analyses at P < 0.05. ResultsIn 22,346,677 admitted trauma patients, 14,056 (0.6%) received CPR. Four thousand three hundred seventy-seven (31.1%) survived to discharge versus 26.4% in a national sample of all hospitalized patients (P < 0.001). In trauma patients, median age was 55 y, the majority were male (72.2%). Mortality was higher for females versus males (70.3% versus 68.3%, P = 0.026). Multivariate regression showed that older age 1.01 (95% confidence interval (CI) 1.01-1.02), Hispanic ethnicity 1.21 (95% CI 1.04-1.40), and penetrating trauma 1.51 (95% CI 1.32-1.72) were risk factors for mortality, while White race was a protective factor 0.36 (95% CI 0.14-0.89). ConclusionsThis is the first study to show that the incidence of IHCA with CPR is approximately six in 1000 trauma admissions and 31% survive to hospital discharge, which is higher than other hospitalized patients. Age, gender, racial, and ethnic disparities also influence survival.

Beyond Gender and Race: The Representation of Concealable Identities Among College Science Instructors at Research Institutions.

Concealable stigmatized identities (CSIs) are identities that can be kept hidden and carry negative stereotypes. To understand the potential influence instructors have as role models, we must first explore the identities instructors have and whether they disclose those identities to undergraduates. We surveyed national samples of science instructors (n = 1248) and undergraduates (n = 2428) at research institutions to assess the extent to which instructors hold CSIs, whether they reveal those identities to undergraduates, how the prevalence of CSIs among instructors compares to their prevalence among undergraduates, and the reasons instructors reveal or conceal their CSIs. The most common CSIs instructors reported were having anxiety (35%) and being a first-generation college student (29%). Relatively few instructors revealed CSIs to students. The largest mismatches of CSI prevalence were for struggling academically in college (-30%) and having anxiety (-25%); all mismatches grew when accounting for instructor CSI disclosure, highlighting that students perceive fewer role models of scientists with CSIs than actually exist.

How Do Behavioral Framing, Linguistic Certainty, and Target Specification Impact Responses to Vaping Prevention Messages?

While research on youth vaping prevention has begun to grow, little work has examined language choice in vaping prevention messages. This study examined adolescents’ responses to vaping prevention statements that varied on three features: behavioral framing, linguistic certainty, and target specification. We conducted a 2 (behavioral framing) by 2 (linguistic certainty) by 2 (target specification) by 3 (risk type) plus control condition between-subjects experiment using a national probability sample. Adolescents (N = 1,603) were randomly assigned to one of 25 conditions in which they viewed a vaping prevention statement (or a control statement about vape litter) followed by measures of perceived message effectiveness (PME), perceived severity and susceptibility of vaping risks, message trustworthiness, message relevance, and intentions to seek more information about vaping risks. Results showed main effects of behavioral framing, such that a declarative frame (“Vaping can … ”) led to higher PME, higher perceived severity, and greater information seeking intentions than a contingent frame (“If you vape, it can…”), while an interaction revealed that most declarative frame effects were driven by adolescents who were susceptible to vaping. There were also main effects of linguistic certainty, such that the word “can” (“Vaping can … ”) led to higher PME, higher perceived susceptibility and severity, and greater information seeking intentions than the word “could” (“Vaping could … ”). No main effect of target specification (“you” vs. “teens”) was observed. Overall, findings suggest that vaping prevention messages that communicate greater certainty have greater behavior change potential.

Serum neurofilament light chain as a prognostic marker of all-cause mortality in a national sample of US adults.

Neurofilament light chain (NfL) is a neuron-specific structural protein released into the extracellular space, including body fluids, upon neuroaxonal damage. Despite evidence of a link in neurological disorders, few studies have examined the association of serum NfL with mortality in population-based studies. Data from the National Health and Nutrition Survey were utilized including 2,071 Non-Hispanic White, Non-Hispanic Black and Hispanic adult participantsand adult participants of other ethnic groups (20-85 years) with serum NfL measurements who were followed for ≤ 6 years till 2019. We tested the association of serum NfL with mortality in the overall population and stratified by sex with the addition of potential interactive and mediating effects of cardio-metabolic risk factors and nutritional biomarkers. Elevated serum NfL levels (above median group) were associated with mortality risk compared to the below median NfL group in the overall sample (P = 0.010), with trends observed within each sex group (P < 0.10). When examining Loge NfL as a continuum, one standard deviation of Loge NfL was associated with an increased mortality risk (HR = 1.88, 95% CI 1.60-2.20, P < 0.001) in the reduced model adjusted for age, sex, race, and poverty income ratio; a finding only slightly attenuated with the adjustment of lifestyle and health-related factors. Four-way decomposition indicated that there was, among others, mediated interaction between NfL and HbA1c and a pure inconsistent mediation with 25(OH)D3 in predicting all-cause mortality, in models adjusted for all other covariates. Furthermore, urinary albumin-to-creatinine ratio interacted synergistically with NfL in relation to mortality risk both on the additive and multiplicative scales. These data indicate that elevated serum NfL levels were associated with all-cause mortality in a nationally representative sample of US adults.

Psychiatry Resident Physicians Experience Personal and Professional Grief, Burnout and Depression: Results From a National Survey.

Resident physicians experience personal and professional stressors throughout training. These experiences may increase levels of burnout, depression, and grief. Understanding how these stressors impact trainees is essential for improving wellbeing during residency. We examined the prevalence and associations between burnout, depression, and grief among a national sample of psychiatry resident physicians. A survey including validated scales for burnout (Modified Maslach Burnout Inventory-Health Services Survey [MBI]), depression (Patient Health Questionnaire-9 [PHQ-9]), and grief (Traumatic Grief Inventory Self Report [TGSIR]) was distributed to 296 psychiatry program directors in January 2023 for dispersal to their respective residents. Fifty-seven participants completed the survey out of 245 participants who opened and started the survey (23.3%). All participants were current psychiatry residents. MBI scores averaged 21.2 (SD 6.5, range 11-40); 11 participants reported high levels of burnout (scores >27; 19.3%). PHQ-9 scores averaged 3.42 (SD 3.0, range 0-14), with 8 responses meeting the criteria for moderate depressive symptoms (scores >10-14; 14.0%). Suicidal ideation was reported by 5 of 57 participants (8.7%). TGISR scores averaged 12.2 (SD 11, range 0-43); no participants met the criteria for pathologic grief. TGISR scores were correlated with MBI (r = .30; P = .02) and PHQ-9 scores (r = .53; P < .0001). MBI scores were also correlated with PHQ-9 scores (r = .54; P < .0001). Non-pathological grief was correlated with burnout and depression. 14% to 20% of psychiatry residents reported clinically significant levels of burnout and depression. Future studies should aim to further characterize burnout, depression, and grief in larger samples of trainees.

Changes of sex ratio at birth and son preferences in China: a mixed method study

AbstractIn 2020, China’s sex ratio at birth (SRB) stood at 111.3, still exhibiting a notable bias. Son preference ranks as the most essential and fundamental reason for the skewed SRB. This study, using a mixed-methods approach, seeks to address what the temporal changes and regional differences in SRB and the gender preferences are in China, whether and why son preference persists, how people practice such preferences and how they relate to the persistently high SRB in the Chinese context. Analysis of data from five national sample surveys finds that son preference is waning and daughter preference is gaining momentum, consistent with significant downward trends in SRB. The study also reveals that value shifts and intergenerational relations have a strong influence on gender preferences and their translation into reproductive behavior. Additionally, this study highlights the challenges that are hindering the decline in son preference, suggesting that more efforts are needed to empower women and to change social norms.

Protocol for a nationwide case-control study of firearm violence prevention tactics and policies in K-12 schools.

Most U.S. K-12 schools have adopted safety tactics and policies like arming teachers and installing metal detectors, to address intentional school gun violence. However, there is minimal research on their effectiveness. Furthermore, sociodemographic factors may influence their implementation. Controlled studies are necessary to investigate their impact on gun violence and related disciplinary outcomes. The paper outlines the protocol for a case-control study examining gun violence prevention policies in U.S. K-12 schools. The study aims to investigate if there is an association between the total number and type of specific safety tactics and policies and the occurrence of intentional shootings in K-12 public schools, student disciplinary outcomes, and if urbanicity, economic, and racial factors modify these associations. We will create a nationally representative dataset for this study and ascertain a full census of case schools (schools that experienced intentional gunfire on the campus during school hours since 2015) through national school shooting databases. Matched control schools will be randomly selected from U.S. Department of Education's national database of all public schools. We will analyze 27 school safety strategies organized into seven key exposure groupings. Supported by the National Institutes for Child Health and Development (R01HD108027-01) and having received Institutional Review Board approval, our study is currently in the data collection phase. Our analytical plan will determine the association between the number and type of school safety tactics and policies with the occurrence of intentional shootings and suspensions and expulsions in a national sample of approximately 650 K-12 public schools. Additional analyses will investigate the effect modification of specific covariates. As the first national, controlled study, its results will provide novel and needed data on the effectiveness of school safety tactics and policies in preventing intentional shootings at K-12 public schools.

The Inequality in Healthcare Access in Bihar: Pattern and Determinants

Healthcare access varies across socioeconomic determinants and therefore, states’ demographic and socioeconomic structure plays an important role in an individual’s health status in the state. For example, richer have better access to healthcare than poorer, and women have lower healthcare access than men. In this study, the role of socioeconomic determinants in healthcare access is discussed in five states of India—Jharkhand, Uttar Pradesh, Odisha and Madhya Pradesh; therefore, this article aims to determine how healthcare access across socioeconomic determinants varies across states. The study is based on the National Sample Survey 75th round of data on health (2017–2018). A comparative study is conducted to know the percentage of non-access to healthcare (unmet needs) across different socioeconomic determinants such as age, gender, income, religion, caste and others. A logistic regression model is used to determine significant socioeconomic factors in healthcare access in all five states. The concentration index and concentration curve show the inequality in healthcare access across income quintiles. The result shows that Bihar has the highest cases of non-access to healthcare across most socioeconomic determinants followed by Odisha and Jharkhand. In addition, cases of non-access to healthcare in all five states are largely higher than the national average. The result further shows that only a few socioeconomic determinants such as income class and caste are significant to healthcare access and state-wise, they vary. JEL: I140; I150; I18

Detection of outliers in survey–weighted linear regression

ABSTRACT Regression diagnostics help identify influential data points in a model. Detecting outliers in complex survey design data involving stratification, clustering, and unequal probability sampling is difficult due to the presence of masking, where one outlier makes it hard to detect others. The masking factor for survey–weighted linear regression is developed and applied to analyzing the Household Consumer Expenditure dataset of 68th round of the National Sample Survey Organization survey of India. Regression parameters are calculated before and after detection and removal of outliers. The standard error of regression parameters for survey-weighted least squares models is reduced by 2% for the intercept, 5% for variable “meat” (X 5), 4% for “served processed food” (X 9), and 4% for “packaged processed food” (X 10). Inference alters the significance of regression coefficients of the variable “served processed food” (X 9) leading to the emergence of significance. There is no change in inference for other variables.

Older Adult Homicide: Investigating Case, Victim and Perpetrator Characteristics in a National Sample from England and Wales

Abstract Older adult homicide (OAH) is the most severe, yet understudied, form of older adult abuse. This study examined the case, victim and perpetrator characteristics of OAH. A secondary analysis of national data from England and Wales (2008–2019) was conducted where cases of non-stranger OAH (victims aged sixty years and over) were compared to adult homicide (victims aged eighteen to fifty-nine years) at the case, victim (n = 3,274) and perpetrator (n = 2,763) levels. Logistic regression models used to identify characteristics that were OAH risk factors, showed only a slight increase in predictive power but high accuracy in classifying adult homicide cases. Nevertheless, some risk factors known to be predictors of older adult abuse were significant predictors of OAH (e.g. living with the perpetrator, the perpetrator’s mental state). Implications for research, policy and practice are discussed.

Latent profiles of cyber violence among South Korean adolescents: Applicability of routine activity theory

AbstractThere is a growing concern towards the risk of cyber violence among young digital natives. This study tested the applicability of routine activity theory in the cyber domain using a national sample of 2228 South Korean adolescents. Latent profile analysis was used to identify the conditions of the motivated offender, suitable target, and capable guardian within the online context. Low‐risk, detached norm, and comprehensive‐risk profiles emerged. Binary logistic regression indicated that adolescents in the comprehensive‐risk profile were most likely to experience cyber violence, compared to other profiles. The risk of perpetration was greater for the low‐risk profile than the detached norm profile. This study identified the contexts of youth that heighten the risk of cyber violence and suggested important points of intervention.

Democratic Erosion, Partisanship, and Election Observers: Evidence from a Survey Experiment

To what extent do voters support election observation missions (EOMs) monitoring their elections? Building on but departing from prior work, we argue that citizens’ support for election observation missions likely depends on their partisanship. To test our argument, we conduct a survey experiment with a national sample of about 3, 500 Americans in the run-up to the 2020 United States presidential election. Respondents read an adapted news article about the deployment of common interventions in the upcoming election. To test our theoretical expectations, we randomize the partisan source endorsing the interventions. We find that respondents who self-identify as Democrats and Independents/Others are much less likely to support election observers when endorsed by Trump. In addition, Democrats are more likely to support election observers if they read that Biden approves of them. In contrast, Republicans are less likely to support an intervention if they read the same. Our results contribute to ongoing debates about how to promote and defend free elections in backsliding or democratizing countries and, more generally, to the literatures on election observation and public opinion.

Regional and rural-urban patterns in the prevalence of diagnosed hypertension among older U.S. adults with diabetes, 2005–2017

BackgroundHypertension prevalence among the overall US adult population has been relatively stable during the last two decades. However, whether this stabilization has occurred across rural-urban communities and across different geographic regions is unknown, particularly among older adults with diabetes who are likely to have concomitant cardiovascular risk factors.MethodsThis serial cross-sectional analysis used the 5% national sample of Medicare administrative claims data (n = 3,516,541) to examine temporal trends (2005–2017) in diagnosed hypertension among older adults with diabetes, across urban-rural communities and US census regions (Northeast, Midwest, South, and West). Joinpoint regression was used to obtain annual percent change (APC) in hypertension prevalence across rural-urban communities and geographic regions, and multivariable adjusted regression was used to assess associations between rural-urban communities and hypertension prevalence.ResultsThe APC in the prevalence of hypertension was higher during 2005–2010, and there was a slowdown in the increase during 2011–2017 across all regions, with significant variations across rural-urban communities within each of the regions. In the regression analysis, in the adjusted model, older adults living in non-core (most rural) areas in the Midwest (PR = 0.988, 95% CI: 0.981–0.995) and West (PR = 0.935, 95% CI: 0.923–0.946) had lower hypertension prevalence than their regional counterparts living in large central metro areas.ConclusionsAlthough the magnitudes of these associations are small, differences in hypertension prevalence across rural-urban areas and geographic regions may have implications for targeted interventions to improve chronic disease prevention and management.

Risk factors for middle ear cholesteatoma surgery based on Korean population data

Background Studies of risk factors for middle ear cholesteatoma surgery using population-based data are lacking. Objectives To investigate the risk factors for cholesteatoma surgery in adults based on population data from Korea. Materials and Methods For this retrospective study, we used Korean National Health Insurance Service National Sample Cohort data. Patients who were 20 years or older and underwent mastoidectomy from 2006 through 2015 under the diagnostic codes of cholesteatoma were defined as patients with middle ear cholesteatoma surgery. The control group was comprised of the remaining database sample in 2006. Sociodemographic factors in 2006 and histories of medical diseases, allergic diseases, and chronic sinusitis from 2003 through 2005 were compared between cholesteatoma surgery and control groups. Results A total of 459 patients underwent cholesteatoma surgery. In multivariate Cox regression analysis, age 40–59 years and residence in metropolitan cities and small- and medium-sized cities and counties were significant risk factors for cholesteatoma surgery whereas allergic rhinitis, asthma, atopic dermatitis, and chronic sinusitis were not significant risk factors for middle ear cholesteatoma surgery. Conclusions and significance The present study found no evidence of associations between allergic diseases or chronic sinusitis and cholesteatoma surgery in adults.

Regular source of primary care and health services utilisation among Brazilian elderly with mental-physical multimorbidity

BackgroundIn ageing populations, multimorbidity is a complex challenge to health systems, especially when the individuals have both mental and physical morbidities. Although a regular source of primary care (RSPC) is associated with better health outcomes, its relation with health service utilisation in elderly patients with mental-physical multimorbidity (MP-MM) is scarce.ObjectiveThis study explored the relations among health service utilisation, presence of RSPC and MP-MM among elderly Brazilians.MethodsA national cross-sectional study performed with data from national representative samples from the Brazilian National Health Research (PNS, in Portuguese; Pesquisa Nacional de Saúde) carried out in 2013 with 11,177 elderly Brazilian people. MP-MM was defined as the presence of two or more morbidities, including at least one mental morbidity, and was evaluated using a list of 16 physical and mental morbidities. The RSPC was analysed by the presence of regular font of care in primary care and health service utilisation according to the demand for health services ≤ 15 days, medical consultation ≤ 12 months, and hospitalisation ≤ 1 year. Frequency description of variables and bivariate association were performed using Stata v.15.2 software.ResultsThe majority of individuals was female (56.4%), and their mean age was 69.8 years. The observed prevalence of MP-MM was 12.2%. Individuals with MP-MM had higher utilisation of health services when compared to those without MP-MM. RSPC was present at 36.5% and was higher in women (37.8% vs. 34.9%). There was a lower occurrence of hospitalisation ≤ 1 year among MP-MM individuals with RSPC and without a private plan of health.ConclusionOur findings demonstrate that RSPC can be an important component of care in elderly individuals with MP-MM because it was associated with lower occurrence of hospitalisation, mainly in those that have not a private plan of health. Longitudinal studies are necessary to confirm these findings.

Projected volume of primary total joint arthroplasty in the USA from 2019 to 2060.

The global incidence of total joint arthroplasty (TJA) has consistently risen over time, and while various forecasts differ in magnitude, future projections suggest a continued increase in these procedures. Differences in future United States projections may arise from the modeling method selected, the nature of the national arthroplasty registry employed, or the representativeness of the specific hospital discharge records utilized. In addition, many models have not accounted for ambulatory surgery as well as all payer types. Therefore, to attempt to make a more accurate model, we utilized a national representative sample that included outpatient arthroplasties and all insurance types to predict the volumes of primary TJA in the USA from 2019 to 2060. A national, all-payer database was queried. All patients who underwent primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) from January 1, 2010, to December 31, 2019, were identified using international classification of disease Ninth Revision (9) and Tenth Revision (10) codes and current procedure terminology codes. Absolute frequencies and incidence rates were calculated per 100,000 for both THA and TKA procedures, with 95% confidence intervals. Mean growth in absolute frequency and incidence rates were calculated for each procedure from 2010 to 2014, and 2010 to 2019, with 95% confidence intervals (CI). The overall increase in THA and TKA procedures are expected to grow + 10 and + 36%, respectively, using linear regressions and + 9 and + 37%, respectively. The most positive mean growth in procedure frequency occurred from 2010 to 2014 for THA (+ 24, 95% Confidence Interval (CI): + 21, + 27) and 2010-2019 for TKA (+ 11%, 95% CI: + 9, + 14). There positive trend patterns in incidence rate growth for both procedures, with similar 2010-2019 incidence rates + 6%) for THA (+ 3%, 95% CI: + 0, + 6%) and TKA (+ 3%, 95% CI: + 1%, + 6%). Utilizing a nationally representative database, we demonstrated that TJA procedures would continue with an increased growth pattern to 2060, though slightly decreased from the surge from 2014 to 2019. While this finding applies to the representativeness of the population at hand, the inclusion of outpatient arthroplasty and all payer types validates an approach that has not been undertaken in previous projection studies.

Incidence and risk factors of postoperative delirium following hepatic resection: a retrospective national inpatient sample database study

BackgroundPostoperative delirium (POD) is a common complication after major surgery and can cause a variety of adverse effects. However, no large-scale national database was used to assess the occurrence and factors associated with postoperative delirium (POD) following hepatic resection.MethodsPatients who underwent hepatic resection from 2015 to 2019 were screened using the International Classification of Diseases (ICD) 10th edition clinical modification code from the National Inpatient Sample (NIS) Database. Peri-operative factors associated with delirium were screened and underwent statistical analysis to identify independent predictors for delirium following hepatic resection.ResultsA total of 80,070 patients underwent hepatic resection over a five-year period from 2015 to 2019. The overall occurrence of POD after hepatic resection was 1.46% (1039 cases), with a slight upward trend every year. The incidence of elective admission was 6.66% lower (88.60% vs. 81.94%) than that of patients without POD after hepatic resection and 2.34% (45.53% vs. 43.19%) higher than that of patients without POD in teaching hospitals (P < 0.001). In addition, POD patients were 6 years older (67 vs. 61 years) and comprised 9.27% (56.69% vs. 47.42%) more male patients (P < 0.001) compared to the unaffected population. In addition, the occurrence of POD was associated with longer hospitalization duration (13 vs. 5 days; P < 0.001), higher total cost ($1,481,89 vs. $683,90; P < 0.001), and higher in-hospital mortality (12.61% vs. 4.11%; P < 0.001). Multivariate logistic regression identified hepatic resection-independent risk factors for POD, including non-elective hospital admission, teaching hospital, older age, male sex, depression, fluid and electrolyte disorders, coagulopathy, other neurological disorders, psychoses, and weight loss. In addition, the POD after hepatic resection has been associated with sepsis, dementia, urinary retention, gastrointestinal complications, acute renal failure, pneumonia, continuous invasive mechanical ventilation, blood transfusion, respiratory failure, and wound dehiscence / non-healing.ConclusionAlthough the occurrence of POD after hepatic resection is relatively low, it is beneficial to investigate factors predisposing to POD to allow optimal care management and improve the outcomes of this patient population.

The opportunity to lead facilitates PA professional well-being.

Physician associates/assistants (PAs) with mature careers represent an important leadership resource for healthcare employers. This study sought to determine whether PA leadership task responsibility interacted with experience level to predict professional well-being. This quantitative study used an archival dataset from a national sample of PAs. The Professional Fulfillment Index was used to measure well-being and career length was used to represent experience level. PA leadership task responsibility was calculated as an aggregate score. Bivariate linear regression with mediation analysis was conducted to determine the relationship between variables. An increase in PA experience level predicted higher professional fulfillment and lower burnout, and aggregate leadership task score partially mediated this relationship. Granting leadership task responsibility compatible with experience level may enhance PA professional fulfillment, mitigate burnout, and increase PA usefulness for healthcare employers.

Unveiling non-communicable disease trends among Indian states: predicting health outcomes with socioeconomic and demographic factors

PurposeThe present study examines the fluctuations in Socioeconomic and demographic (SED) factors and the prevalence of Non-Communicable Diseases (NCDs) across clusters of states in India. Further, it attempts to analyze the extent to which the SED determinants can serve as predictive indicators for the prevalence of NCDs.Design/methodology/approachThe study uses three rounds of unit-level National Sample Survey self-reported morbidity data for the analysis. A machine learning model was constructed to predict the prevalence of NCDs based on SED characteristics. In addition, probit regression was adopted to identify the relevant SED variables across the cluster of states that significantly impact disease prevalence.FindingsOverall, the study finds that the disease prevalence can be reasonably predicted with a given set of SED characteristics. Also, it highlights age as the most important factor across a cluster of states in understanding the distribution of disease prevalence, followed by income, education, and marital status. Understanding these variations is essential for policymakers and public health officials to develop targeted strategies that address each state’s unique challenges and opportunities.Originality/valueThe study complements the existing literature on the interplay of SEDs with the prevalence of NCDs across diverse state-level dynamics. Its predictive analysis of NCD distribution through SED factors adds valuable depth to our understanding, making a notable contribution to the field.