Zero-inflated Negative Binomial Regression Research Articles

Analysis of the Effects of Highway Geometric Design Features on the Frequency of Truck-Involved Rear-End Crashes Using the Random Effect Zero-Inflated Negative Binomial Regression Model

Statistical data indicate that trucks are more prone to rear-end crashes, making this an area of concern. The objective of this study is to create a model that analyzes the factors influencing the frequency of rear-end crashes involving trucks (TIRC). To achieve this, researchers identified the most appropriate model as Spatial Zero-Inflated Negative Binomial Regression (SZINB). This model takes into account spatial correlation, which plays a significant role in the occurrences of TIRC on different road segments supervised by each highway ward. The estimation of parameters in the SZINB model has led to key findings that shed light on the factors contributing to a higher likelihood of TIRC. These findings include the increased probability of TIRC on curved roads compared to straight ones, roads that feature open middle islands, six lanes per direction, a slope, right-of-way shoulder width, pavement type, lane width, and a post speed limit. Based on these key findings, this study developed policy recommendations and sample measures aimed at reducing the frequency of TIRC. Implementing measures such as improving the road design on curved sections, optimizing middle islands, and enhancing traffic management on wider roads can help mitigate the risk of crashes involving trucks.

Employment and workdays lost among spouses of cancer survivors: Intersection with gender across cancer treatment status.

Cancer patients and survivors have high care needs, often provided by a spouse or partner. The purpose of this study was to elucidate how employment and work loss patterns differed across cancer history/treatment status and gender. Using nationally representative data from the Medical Expenditure Panel Survey (2011, 2016, and 2017), the authors linked data across married participants and categorized them by spouses' cancer treatment status (no cancer history, on treatment for cancer, off treatment for cancer). Multivariable logistic and zero-inflated negative binomial regressions were used to assess the associations among cancer history/treatment status, gender, and employment outcomes (employment status and workdays lost to care for self or others). For men, employment did not differ significantly by cancer history/treatment status (on treatment: odds ratio [OR], 0.58; 95% confidence interval [CI], 0.33-1.02, off treatment: OR, 0.84; 95% CI, 0.62-1.14 vs. no cancer history). For women, employment was not significantly different when the spouse was on treatment for cancer compared to no cancer history (OR, 0.78; 95% CI, 0.33-1.86]) but was significantly increased for women whose spouse was off treatment (OR, 1.39; 95% CI, 1.05-1.84). Among employed participants, women whose spouse was on cancer treatment were nine times more likely to take days off work to provide care (OR, 9.52; 95% CI, 3.94-23.03) and took more than three times as many days off to care for others (OR, 3.21; 95% CI, 2.07-4.97) as men whose spouse had no cancer history. Wives of cancer survivors are at increased risk of work loss, with implications for their financial and psychological well-being. Employers, policymakers, and clinicians have opportunities to support working caregivers.

Risk Factors for Chronic Obstructive Pulmonary Disease Exacerbations among Individuals without a History of Recent Exacerbations: A COPDGene Analysis.

Rationale: Acute exacerbations of chronic obstructive pulmonary disease (AE-COPD) are detrimental events in the natural history of COPD, but the risk factors associated with future exacerbations in the absence of a history of recent exacerbations are not fully understood. Objectives: To identify risk factors for COPD exacerbations among participants in the Genetic Epidemiology of COPD Study (COPDGene) without a history of exacerbation in the previous year. Methods: We identified participants with a smoking history enrolled in COPDGene who had COPD (defined as forced expiratory volume in 1 second [FEV1]/forced vital capacity < 0.70), no exacerbation in the year before their second study site visit, and who completed at least one longitudinal follow-up questionnaire in the following 36 months. We used univariable and multivariable zero-inflated negative binomial regression models to identify risk factors associated with increased rates of exacerbation. Each risk factor's regression coefficient (β) was rounded to the nearest 0.25 and incorporated into a graduated risk score. Results: Among the 1,528 participants with a smoking history and COPD enrolled in COPDGene without exacerbation in the year before their second study site visit, 508 participants (33.2%) had at least one moderate or severe exacerbation in the 36 months studied. Gastroesophageal reflux disease, chronic bronchitis, high symptom burden (as measured by Modified Medical Research Council Dyspnea Scale and COPD Assessment Test), and lower FEV1% predicted were associated with an increased risk of exacerbation. Each 1-point increase in our graduated risk score was associated with a 25-30% increase in exacerbation rate in the 36 months studied. Conclusions: In patients with COPD without a recent history of exacerbations, gastroesophageal reflux disease, chronic bronchitis, high symptom burden, and lower lung function are associated with increased risk of future exacerbation using a simple risk score that can be used in clinical practice.

The impact of teleneonatology on the Transport Risk Index of Physiologic Stability score for outborn neonates: A prospective, observational study.

Teleneonatology (TN) allows neonatologists to use real-time, audio-video telemedicine to manage critically ill neonates located in community hospitals (CHs). The California Transport Risk Index of Physiologic Stability (Ca-TRIPS) score is a validated metric that predicts the risk of 7-day mortality for neonates undergoing medical transport. We hypothesized that neonates born in CHs who received TN consults would have lower (better) Ca-TRIPS scores upon arrival of the transport team than those who did not. Neonates born in CHs between 8 December 2018 and 31 July 2022 who were transported to the neonatal intensive care unit were screened for eligibility. TN was available at 50% (12/24) of CHs, where care teams decided when to activate the service. Study data were abstracted from the electronic health record and used to calculate Ca-TRIPS scores. Scores were evaluated using zero-inflated negative binomial regression. Forty-two percent (161/385) of neonates received a TN consult. Neonates that received TN had lower birth weight, gestational age, and Apgar scores and were more often admitted with respiratory distress syndrome and respiratory failure. Neonates who received TN were less likely to have a Ca-TRIPS score of zero (odds ratio 0.51; 95% confidence interval 0.33, 0.78). When adjusted for baseline characteristics, this difference was no longer significant. Non-zero Ca-TRIPS scores were not different between groups. In this observational study, neonates that received TN did not have lower (better) Ca-TRIPS scores. Findings may be limited by confounding bias given between-group differences in baseline patient characteristics. Randomized studies are needed to determine whether TN impacts the physiologic stability of neonates requiring medical transport.

Recency of Cannabis Vaping in Sexual Minorities in Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study

Background Cannabis vaping is increasing in the United States. Among populations at-risk are sexual minorities (SM) who are more likely to vape cannabis compared to their heterosexual counterparts. Cannabis vaping has been associated with negative health outcomes and concomitant use of other substances with increased risk with more recent use. Objectives This study examined the association between SM identification and recency of cannabis vaping (the last occasion that a participant used their vape device with cannabis) and number of puffs (the count of puffs that the participant took during their most recent use of their vape device with cannabis) using Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study. Results In a weighted sample of participants who reported ever vaping cannabis (N = 5,331), 15% identified as SM, about 60% vaped cannabis in the past 3 or more days, and the mean number of puffs was 2 (SE = 0.17). Using multinomial logistic regression and zero-inflated negative binomial regression, the results showed that compared to heterosexual adults who reported not recently vaping cannabis, SM had higher probabilities of vaping cannabis in the past 3 or more days, 1-2 days, and the day of interview. Conclusion SM individuals were more likely to recently vape cannabis, placing them at higher risk for respiratory diseases and use of other substances. Public health researchers and practitioners need to identify reasons for cannabis vaping in this population and implement targeted public health messaging to inform SM communities of the potential health effects of cannabis vaping.

Use of screens and intake of unhealthy food among children and adolescents: association with physical activity in a cross-sectional study

BackgroundThe intake of unhealthy food taken on very regular basis may bring even further negative impact on health if associated with excessive time using of screen-based electronic devices.ObjectiveTo estimate the association between the use of different types of screen-based devices and the intake of unhealthy foods amongst children and adolescents and to determine whether daily physical activity (DPA) has a moderating effect on the association.MethodsCross-sectional study carried out with a probabilistic sample of students from second to fifth grade of public elementary schools in Feira de Santana, Bahia (n = 2,477; girls: 53.2%; age: 9.1 ± 1.38 years; BMI z-score 0.37 ± 4.19 Kg/m²). Food intake, screen use, and physical activity were assessed using an online questionnaire based on previous day recall (Web-CAAFE). Prevalence Ratios (PR) and 95% Confidence Intervals (95%CI) were estimated via multiple zero-inflated negative binomial regression, with adjustments for sex, age, and weekly frequency of school meal intake. The moderating effect of DPA was verified by inserting interaction terms with each screen-based device individually and with the daily sum of screen-based device exposure (∑ Screens).ResultsThe majority of students (72.2%) reported using screens. The intake of unhealthy foods was positively associated with the use of cell phones (PR = 1.21; 95%CI = 1.13–1.30), computers (PR = 1.33; 95%CI = 1.22–1.46), and video games (PR = 1.36; 95%CI = 1.22–1.52). TV use was inversely associated with intake of unhealthy foods (PR = 0.92; 95%CI = 0.87–0.99). DPA moderated the effect of video game use on intake of unhealthy foods, that is, among students with DPA ≥ 4 who used video games, the intake of unhealthy foods was 21% lower (PR = 0.79; 95%CI = 0. 65-0.97). Overall, ∑ Screen-based devices were associated with a 20% increase in intake of unhealthy foods.ConclusionThe intake of unhealthy foods was positively associated with the use of cell phones, computers, and video games. In addition, a frequency of four or more DPA attenuated the effect of video game exposure on intake of unhealthy foods. Upcoming investigations on the use of screen-based devices and the intake of unhealthy foods among schoolchildren should consider the exposure to different types of screen-based devices, as well as the influence of DPA.

Discounting of Hyper-Palatable Food and Money: Associations with Food Addiction Symptoms.

Delay discounting (DD), the tendency to prefer small, immediate rewards over larger, delayed rewards, is associated with health-risk behaviors. The study examined associations between DD for money and hyper-palatable foods (HPF) with food addiction (FA) symptoms among a general population sample. Participants (N = 296) completed an adjusting DD task that consisted of a single-commodity condition with HPF as the reward (HPF now vs. HPF later) and cross-commodity conditions comparing money and HPF (money now vs. HPF later; HPF now vs. money later). The Yale Food Addiction Scale 2.0 was used to assess FA symptoms. Zero-inflated negative binomial regression models tested whether discounting of HPF and money was associated with FA symptoms. Findings indicated there were no significant associations between DD and FA symptoms in the single-commodity HPF condition (logit: OR = 1.02, p-value = 0.650; count: IRR = 1.04, p-value = 0.515). There were no significant associations among cross-commodity conditions comparing money now vs. HPF later (logit: OR = 0.96, p-value = 0.330; count: IRR = 1.02, p-value = 0.729) or conditions comparing HPF now vs. money later (logit: OR = 1.02, p-value = 0.682; count: IRR = 0.92, p-value = 0.128) and FA symptoms. Discounting HPF may not be a key behavioral feature among individuals who endorse FA symptoms.

Development of geographic inequality in dental caries and its association with socioeconomic factors over an 18-year period in Denmark

BackgroundFew studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors.MethodsThis nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year’s parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark’s statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created.ResultsBetween 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geographic inequalities persisted with higher caries levels largely concentrated in the relatively deprived areas of Denmark. Increasing relative socioeconomic inequalities in caries over time were observed with significant graded associations between SEP and caries despite adjustment for the various individual and neighborhood-level covariates and the effect of assessment year (e.g., 15-year-olds with parents having basic education had 1.91-fold [95% CI: 1.86–1.95] higher caries experience than those having parents with high education).ConclusionsReducing these enduring inequalities will likely require additional resources and targeted supportive and preventive measures for adolescents from lower SEP backgrounds and those residing in municipalities with higher caries prevalence.

Factors associated with higher alcohol concentrations in emergency department presentations: PACE study.

The health impact from alcohol is of recognised concern, from acute intoxication as well as increased risk of chronic health issues over time. Identifying factors associated with higher alcohol consumption when presenting to the emergency department (ED) will inform public health policy and enable more targeted health care and appropriate referrals. Secondary testing of blood samples collected during routine clinical care of 1160 ED patients presenting to the Royal Brisbane and Women's Hospital in Queensland, Australia, for 10 days between 22 January and 1 February 2021. Alcohol was measured by blood ethanol (intake in recent hours) and phosphatidylethanol (PEth; intake over 2-4 weeks). Zero-inflated negative binomial regression was used to identify demographic and clinical factors associated with higher alcohol concentrations. Males were found to have 83% higher blood ethanol and 32% higher PEth concentrations than females (adjusted rate ratio [ARR] 1.83, 95% confidence interval [CI] 1.37-2.45 and ARR 1.32, 95% CI 1.04-1.68, respectively). Blood ethanol concentrations were 3.4 times higher for those 18-44 years, compared to those aged 65+ (ARR 3.40, 95% CI 2.40-4.82) whereas PEth concentrations were found to be the highest in those aged 45-64 years, being 70% higher than those aged 65+ (ARR 1.70, 95% CI 1.19-2.44). Patients brought in involuntarily had eight-times higher blood ethanol concentrations than those who self-attended. This study used two alcohol markers to identify factors associated with higher alcohol concentrations in emergency presentations. The findings demonstrate how these biomarkers can provide informative data for public health responses and monitoring of alcohol use trends.

To rest or to compete? A 4-week cohort study of analgesic use and willingness to compete hurt in Danish youth elite athletes

ObjectivesTo assess the association between analgesic use and willingness to compete hurt (WCH) in Danish youth elite athletes, and to explore factors associated with such willingness. Design4-week prospective cohort study. Methods592 Danish youth elite athletes (15–20 years) completed a baseline questionnaire assessing demographic information, sport history, and WCH, and provided weekly reports on analgesic use for 4 weeks via text messages. Analgesic use was categorized as no use (0 weeks) or use across 1, 2, 3, or 4 weeks, and as the total number of days with analgesic use. Multinomial logistic regression and zero-inflated negative binomial regression analyses estimated the association between analgesic use and WCH. Linear backward stepwise regression analysis was used to identify factors associated with WCH. ResultsOverall, risk of analgesic use increased significantly with increasing WCH scores (relative risk ratios ranging from 1.06 (95% CI 1.0 to 1.12%) to 1.34% (95% CI 1.15 to 1.57)). The incidence rate of analgesic use increased significantly with increasing WCH scores (incidence rate ratio 1.09 (95% CI 1.04 to 1.14)). Associations between the investigated possible antecedent factors and WCH were weak and not considered practically important (R2 = 0.05 or lower). ConclusionsHigher WCH scores were associated with increasing risk of analgesic use, irrespective of the underlying reason for the use, in Danish youth elite athletes, suggesting that analgesics may be an ingrained part of a sport-specific culture of risk acceptance. Future studies should include measures of culture, norms, and social interaction to better explain the variance in WCH.

Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity.

Integrating mobile health (mHealth) into paediatric obesity treatment can provide opportunities for more personalized and lifetime treatment. However, high attrition rates pose a significant challenge. The current study attempts to better understand attrition by exploring (1) attrition rates of a monitoring mHealth application for usage over 14 days and (2) testing predictors of attrition in adolescents with obesity. Participants were 69 adolescents between 12 and 16 years old who engaged in a multidisciplinary obesity treatment centre (either outpatient or inpatient) in two countries (Belgium and France). To assess the attrition rates, frequency distributions were used. To test the predictors of attrition, zero-inflated negative binomial regression was performed. Attrition rates were high, in the outpatient group, more than half of the participants (53.3%) used the app for only 0-7 days. In the inpatient group, this percentage was 24.1%. Only deficits in initiating (a component of executive functions) were a negative predictor of attrition, indicating that deficits in initiating lead to lower attrition rates. This study provides evidence for high attrition rates in mHealth interventions for adolescents with obesity and was the first to investigate psychological predictors of attrition to an mHealth monitoring tool in adolescents with obesity in treatment. Findings regarding predictors of attrition should be approached with caution due to the small sample size.

Dealing with Zeros: Adolescent Drug Use, Perceived Disapproval, and Perceived Harm.

Because studies examining youth drug use often have data with a high proportion of zeros, they often do not meet the assumptions for univariate or linear regression analyses that are typically used. We demonstrate the use of zero-inflated negative binomial regression models to address excessive zeros in drug use frequency on perceptions of disapproval and perceived harm among middle and high school students (N = 522). We found that perceptions of parent disapproval were a better predictor of marijuana use (p = .01) than peer disapproval. Perceived harm was related to marijuana use (p = .04). Researchers should consider using zero-inflated negative binomial regression models when examining youth drug use.

Effectiveness of BNT162b2 and Sinovac vaccines against the transmission of SARS-CoV-2 during Omicron-predominance in Hong Kong: A retrospective cohort study of COVID-19 cases.

In 2022, SARS-CoV-2 Omicron variants circulated globally, generating concerns about increased transmissibility and immune escape. Hong Kong, having an infection-naive population with a moderate 2-dose vaccine coverage (63% by the end of 2021), experienced a COVID-19 epidemic largely seeded by Omicron BA.2 variants that led to the greatest outbreak in the region to date. Little remains known about the protection of commonly-administered vaccines against transmission of Omicron BA.2 variants. In this retrospective cohort study, we identified 17 535 laboratory-confirmed COVID-19 cases using contact tracing information during the Omicron-predominant period between January and June 2022 in Hong Kong. Demographic characteristics, time from positive test result to case reporting, isolation, or hospital admission, as well as contact tracing history and contact setting were extracted. Transmission pairs were reconstructed through suspected epidemiological links according to contact tracing history, and the number of secondary cases was determined for each index case as a measurement for risk of transmission. The effectiveness of mRNA vaccine (BNT162b2) and inactivated vaccine (Sinovac) against transmission of BA.2 variants was estimated using zero-inflated negative binomial regression models. Vaccine effectiveness against transmission for patients who received the 2-dose BNT162b2 vaccine was estimated at 56.2% (95% CI: 14.5, 77.6), 30.6% (95% CI: 13.0, 44.6), and 21.3% (95% CI: 2.9, 36.2) on 15 - 90, 91 - 180, and 181 - 270 days after vaccination, respectively, showing a significant decrease over time. For 3-dose vaccines, vaccine effectiveness estimates were 41.0% (95% CI: 11.3, 60.7) and 41.9% (95% CI: 6.1, 64.0) on 15 - 180 days after booster doses of Sinovac and BNT162b2, respectively. Although significant vaccine effectiveness was detected in household settings, no evidence of such protective association was detected in non-household settings for either Sinovac or BNT162b2. Moderate and significant protection against Omicron BA.2 variants' transmission was found for 2 and 3 doses of Sinovac or BNT162b2 vaccines. Although protection by 2-dose BNT162b2 may evidently wane with time, protection could be restored by the booster dose. Here, we highlight the importance of continuously evaluating vaccine effectiveness against transmission for emerging SARS-CoV-2 variants.

The Effect of Information Exchange Activities on Literacy in Online Health Community: The Evidence from PatientsLikeMe

Online health communities (OHC) consist of individuals with shared health-related interests who exchange health-related information among themselves and for the benefit of others. Unfortunately, a notable issue within these communities is the dissemination of a substantial volume of inaccurate health information by various online health groups. Nevertheless, a dearth of research examining the impact of information-seeking activities within OHCs exists. This study aimed to examine the influence of direct and indirect health information-seeking behaviors, specifically among users diagnosed with Type 2 diabetes who have reported complications in OHC, also called claims. Employing association rule mining (ARM) techniques, user data from PatientsLikeMe were extracted to capture information on users’ reported complications subsequent to being diagnosed with Type 2 diabetes (N = 6371). Subsequently, we utilized zero-inflated negative binomial regression (ZINB) to evaluate the effect of direct and indirect information search activities on false notes, including their interaction of them. The outcomes of this investigation have the potential to offer patients valuable insights regarding the reliability and trustworthiness of information derived from OHCs.

Predictors of self-reported research engagement and academic-career interest amongst medical students in the United Kingdom: a national cross-sectional survey.

We hypothesised that the gender/ethnic disparities and reductions in the UK academic-clinician workforce stem from research experience in medical school. This study investigated the factors influencing research engagement and academic-career interests among UK medical students. Using a 42-item online questionnaire, a national multicentre cross-sectional survey of UK medical students was conducted over 9 weeks in the 2020/21 academic year. Multiple binary logistic and zero-inflated negative binomial regressions were used to evaluate associations between the predictor variables and research engagement (yes/no), number of research projects conducted, and academic-career interest (yes/no). P < 0.05 was considered statistically significant. In total, 1573 students participated from 36 medical schools. No ethnic/gender differences in research engagement were observed. However, compared to men, women had a 31% decrease in the odds of being interested in an academic-clinician career [odds ratio (OR): 0.69; 95% confidence interval (CI): 0.52, 0.92]. Positive predictors of interest in academia were being a PubMed-indexed author (OR: 2.19; 95% CI: 1.38, 3.47) and having at least one national/international presentation (OR: 1.40; 95% CI: 1.04, 1.88). Career progression was the primary motivating factor (67.1%) for pursuing research, whereas limited awareness of opportunities (68.0%) and time constraints (67.5%) were the most common barriers. There were no ethnic differences in research engagement or academic-career intent. Although there were no gender differences in research engagement, female students were less likely to be interested in an academic career. This could be tackled by providing targeted opportunities to increase research productivity and self-efficacy in medical schools. Key messages: What is already known on this topic: There has been a decline in the number of academic clinicians, with a disproportionate gender and ethnic representation in the academic workforce. Engaging medical students in research activities during their medical training could mitigate the declining number of academic clinicians. Differential attainment occurs in medical school and persists after graduation. What this study adds: Although there were no gender/ethnic differences in research engagement amongst UK medical students, our study suggests that female students were less likely to be interested in pursuing an academic career. Time constraints, a lack of awareness of opportunities, and difficulty in finding research supervisors/mentors were the most common barriers to research engagement, whereas PubMed-indexed authorship was the strongest positive predictor of interest in an academic career. How this study might affect research, practice, or policy: Medical schools should facilitate the selection of good-quality research mentors that would provide adequate support to ensure that their students' works are published in peer-reviewed journals. Medical schools should employ local research officers to increase students' awareness of research opportunities.

Risk Factors Influencing the Severity of Cognitive Decline in Elderly Taxi Drivers Over 65 Years of Age: Applying a Zero-Inflated Negative Binomial Regression Model.

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Are car safety systems associated with more speeding violations? Evidence from police records in Israel.

Over the past decade, the popularity of installing advanced driver-assistance systems (ADAS) in cars has increased markedly. However, the effectiveness of ADAS is subject to debate, primarily because these systems intervene in drivers' perceptions and actions and could lead to adaptive behavior. Using complete national data for the installation of three leading safety systems and speeding tickets issued over the course of an entire year, allowed us to pinpoint the impact of these safety systems at a national level. Employing zero-inflated negative binomial regression models, we found that the installation of the three safety systems was associated with higher number of speeding tickets. These findings are in line with the literature that indicates adaptive behavior in the context of risk. However, when we accounted for the proneness to commit other traffic violations, the effect of the safety systems on the prevalence of speeding tickets was evident only for those prone to violations. Further research should be conducted to identify which drivers will be more likely to be affected and under what circumstances and safety system types.

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India.

To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes. In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization. Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio-economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1-year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively). There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

Factors associated with the number of months of delaying in multiple sclerosis diagnosis: Comparison of count regression models.

Background: It may take a long time to diagnose multiple sclerosis (MS) since the emergence of primary symptoms. This study aimed to use count regression models to compare their fit and to identify factors affecting delay in the diagnosis of MS. Methods: Data were collected from the Nationwide MS Registry of Iran (NMSRI) for Mazandaran Province, Iran, using census sampling until April 2022. The four models of Poisson regression, negative binomial (NB) regression, zero-inflated Poisson (ZIP) regression, and zero-inflated negative binomial (ZINB) regression were used in this study. Results: In this study on 2894 patients, 74.0% were women, and 8.5% had a family history of MS. The mean ± standard deviation (SD) of the patients' age was 34.96 ± 9.41 years, and the mean delay in diagnosis was 12.32 ± 33.26 months, with a median of 0 (Q1-Q3: 0-9). The NB regression model showed the best performance, and factors, including a history of hospitalization and the year of symptom onset, had significant effects on a delayed diagnosis. Besides, the Expanded Disability Status Scale (EDSS) score was significantly different before and after 2017; it was also associated with sex, type of MS, and history of hospitalization. Conclusion: The mean diagnostic delay and the mean age of MS diagnosis are critical in Mazandaran Province. Patients with MS develop the disease at an early age and are diagnosed with a long delay. The time of symptom onset is a significant factor in the diagnosis of MS, and in recent years, there have been improvements in the diagnostic process.

Emergency Surgery, Multimorbidity and Hospital-Free Days: A Retrospective Observational Study

IntroductionAnalyzing hospital-free days (HFDs) offers a patient-centered approach to health services research. We hypothesized that, within emergency general surgery (EGS), multimorbidity would be associated with fewer HFDs, whether patients were managed operatively or nonoperatively. MethodsEGS patients were identified using national Medicare claims data (2015-2018). Patients were classified as multimorbid based on the presence of a Qualifying Comorbidity Set and stratified by treatment: operative (received surgery within 48 h of index admission) and nonoperative. HFDs were calculated through 180 d, beginning on the day of index admission, as days alive and spent outside of a hospital, an Emergency Department, or a long-term acute care facility. Univariate comparisons were performed using Kruskal–Wallis tests and risk-adjusted HFDs were compared between multimorbid and nonmultimorbid patients using multivariable zero-inflated negative binomial regression models. ResultsAmong 174,891 operative patients, 45.5% were multimorbid. Among 398,756 nonoperative patients, 59.2% were multimorbid. Multimorbid patients had fewer median HFDs than nonmultimorbid patients among operative and nonoperative cohorts (P < 0.001). At 6 mo, among operative patients, multimorbid patients had 6.5 fewer HFDs (P < 0.001), and among nonoperative patients, multimorbid patients had 7.9 fewer HFDs (P < 0.001). When length of stay was included as a covariate, nonoperative multimorbid patients still had 7.9 fewer HFDs than nonoperative, nonmultimorbid patients (P < 0.001). ConclusionsHFDs offer a patient-centered, composite outcome for claims-based analyses. For EGS patients, multimorbidity was associated with less time alive and out of the hospital, especially when patients were managed nonoperatively.