Negative Binomial Regression Models Research Articles

Discriminatory experiences among gay, bisexual, and other men who have sex with men, and transgender and non-binary individuals: a cross sectional analysis

Several systems of oppression combine in complex ways to impact the lives of minority populations. Following an intersectionality framework, we assessed the frequency and perceived reasons for discrimination among gay, bisexual, and other cisgender men who have sex with men (MSM) and transgender and non-binary individuals (TGNB), stratified by race. Online survey among MSM and TGNB ≥18 years living in Brazil, between November/2021 and January/2022. We used the 18-item Explicit Discrimination Scale to assess day-to-day experiences of differential treatment, and perceived discrimination. For each item, participants indicated their perceived reasons for differential treatment using 14 pre-defined options. Negative binomial regression models assessed if race was a significant predictor of discrimination. Subsequent models, stratified by race, examined associations of perceived reasons and number of reasons with perceived discrimination. Of 8464 MSM and TGNB, 4961 (58.6%) were White, 2173 (25.7%) Pardo (Brazil's official term for admixed populations), and 1024 (12.1%) Black. Black participants' scores for perceived discrimination (mean, standard deviation) were higher (10.2, 8.8) [Pardo (6.5, 6.8), White (5.2, 5.7)], and race was both the main reason for and the strongest predictor of perceived discrimination. The number of reasons participants used to interpret their discriminatory experiences was also a predictor of discrimination score among White, Pardo, and Black participants. LGBTQIA+phobia was highly prevalent among all participants. Additionally, our results indicated that Black MSM and TGNB participants were more frequently discriminated against than other racial groups, with racial discrimination uniquely contributing these experiences. Fundação Oswaldo Cruz, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro.

Comparison of Racial and Ethnic Mortality Disparities among Post-9/11 Veterans with and without Traumatic Brain Injury to the Total U.S. Adult Population.

The extent of racial/ethnic disparities and whether they are attenuated in the Veteran population compared to the total US population is not well understood. We aimed to assess racial/ethnic mortality disparities from all-cause, cardiovascular (CVD) and cancer among post-9/11 military Veterans with and without exposure to TBI, compared to the total US population. This cohort study included 2,502,101 US military Veterans (18,932,083 person-years) who served after 09/11/2001 with 3 or more years of care in the Military Health System (MHS); or had 3 or more years of care in the MHS and 2 or more years of care in the Veterans Health Administration. Mortality follow-up occurred from 01/01/2002 to 12/31/2020. Mortality rate ratios (MRR) from negative binomial regression models were reported for racial/ethnic groups compared to White non-Hispanic Veterans for all-cause, CVD and cancer mortality. Veteran MRR were compared to the total US population. Mortality rates for Black Non-Hispanic Veterans were higher for all-cause (MRR = 1.21;95%CI: 1.13-1.29; p < 0.001), CVD (MRR = 1.78;95%CI: 1.62-1.96; p < 0.001) and cancer (MRR = 1.17;95%CI: 1.10-1.25; p < 0.001) than in White Non-Hispanic Veterans. Among Veterans with TBI, only Black Non-Hispanics had higher mortality than White Non-Hispanics and only for CVD (MRR = 1.32;95%CI: 1.12-1.54; p < 0.001), while CVD mortality was higher among Veterans without TBI (MRR = 1.77;95%CI: 1.63-1.93;p < 0.001). MRR for Black Non-Hispanics in the total US population, were consistently higher than those in the Veteran population for all-cause (MRR = 1.52;95%CI: 1.46-1.58; p < 0.001), CVD (MRR = 2.03;95%CI: 1.95-2.13; p < 0.001) and cancer (MRR = 1.26;95%CI: 1.22-1.30; p < 0.001). This Veteran cohort experienced less racial/ethnic disparity in mortality than the total US population, especially among Veterans with TBI.

Pemodelan Data Kecelakaan pada Perlintasan Sebidang Kereta Api DAOP VII Madiun

The study aims to find the most suitable regression model of railroad level crossings accident data to obtain factors significantly affect the number of fatalities in DAOP VII Madiun. The variables used were road width, right slope, left slope, train frequency, type of crossing, large kilometer angle of view, small kilometer angle of view, Early Warning System, road status, type of crossing gates, left and right caution sign, and rumble band markings. The study used comparing method between the results of the Poisson regression model and the Negative Binomial regression model. It is found that the Negative Binomial regression model has a smaller Akaike Information Criteria and Root Mean Square Error than the Poisson model. It can be concluded that the Negative Binomial regression model is a better choice in modeling accident data in DAOP VII Madiun level crossing. Based on the modeling result, the factors significantly affect the number of fatalities in level crossings accident are road width, road status, type of crossing gate, and the presence or absence of caution signs.

Unraveling the veil of traffic safety: A comprehensive analysis of factors influencing crash frequency across U.S. States

Abstract Traffic crashes are a prominent cause of fatalities around the world. This study focuses on the dynamics of traffic safety by analyzing factors influencing crash frequency during both nighttime and daytime conditions. Four years data derived from the Fatality Analysis Reporting System (FARS) database were analyzed statistically based on the negative binomial regression model, to identify the contributions of several factors affecting crash outcomes. The findings reveal significant related factors including the area type, roadway alignment, speeding-related factors, gender, number of lanes, grade, surface type, and weather conditions that contributed to the expected crash frequency during both daytime and nighttime conditions. Through quantitative analysis, the extent to which each factor contributes to the expected crash frequency was determined, offering effective insights for policymaking to boost roadway safety. The findings highlight the necessity of implementing targeted strategies to minimize the risk of crashes by creating safer road environments.

Clusters of Jail Incarcerations in US Counties: 2010-2018

This study investigates the spatiotemporal variations in jail incarcerations in addition to associations with several risk factors and jail incarceration counts at the county level for the period 2010-2018 in the contiguous USA. The disease surveillance software SaTScanTM was utilized to identify and test purely spatial and spatiotemporal variations in jail incarceration. Significant spatial and space-time clusters with elevated relative risk for jail incarceration were found in analysis. Additionally, a negative binomial regression model was used to predict jail incarcerations counts based on several covariates and found significant and non-random spatial clusters of jail incarceration that are explained after adjusting for these covariates. The results in this study provide useful information on possible associations in geographical areas where jail incarceration rates are higher than expected and demonstrate significant correlations between jail incarceration counts and several covariates. The study and its conclusions provide an epidemiological framework for identifying and addressing geographic patterns of unusually high jail incarceration rates in the U.S. and provide evidence of appropriate locations to further investigate underlying causes of disproportionate incarceration.

Epidemiological, clinical, and genomic landscape of coccidioidomycosis in northeastern Brazil

Coccidioidomycosis, listed as a priority mycosis by the WHO, is endemic in the United States but often overlooked in Central and South America. Employing a multi-institutional approach, we investigate how disease characteristics, pathogen genetic variation, and environmental factors impact coccidioidomycosis epidemiology and outcomes in South America. We identified 292 cases (1978–2021) and 42 outbreaks in Piauí and Maranhão states, Brazil, the largest series outside the US/Mexico epidemic zone. The male-to-female ratio was 57.4:1 and the most common activity was armadillo hunting (91.1%) 4 to 30 days before symptom onset. Most patients (92.8%) exhibited typical acute pulmonary disease, with cough (93%), fever (90%), and chest pain (77%) as predominant symptoms. The case fatality rate was 8%. Our negative binomial regression model indicates that reduced precipitation levels in the current (p = 0.015) and preceding year (p = 0.001) predict heightened incidence. Unlike other hotspots, acidic soil characterizes this region. Brazilian strains differ genomically from other C. posadasii lineages. Northeastern Brazil presents a distinctive coccidioidomycosis profile, with armadillo hunters facing elevated risks. Low annual rainfall emerges as a key factor in increasing cases. A unique C. posadasii lineage in Brazil suggests potential differences in environmental, virulence, and/or pathogenesis traits compared to other Coccidioides genotypes.

Unveiling the magic of mega-city block environments: investigating the intriguing mechanisms shaping children’s spontaneous play preferences

IntroductionThis study delves into the spatial preferences of children for play spaces within high-density urban block environments, specifically targeting the area of Baihua Second Road in Shenzhen, China.MethodsRecognizing the critical role of play in children’s development, and the unique challenges posed by dense urban settings, this research employs multiclass logistic regression models and negative binomial regression models to construct a detailed mathematical analysis of neighborhood spatial elements and children’s play space preferences. Data was meticulously gathered through both objective observations of 14 different types of spaces within the block, and subjective assessments via children’s responses to a series of environment photos, capturing the essence of over 3,000 child participants’ interactions and choices.ResultsKey findings reveal a pronounced preference among children for soft facility features and visually appealing spatial experiences, suggesting a nuanced understanding of play space needs beyond traditional playground designs. Notably, the study identifies that while cartoon-style designs in play facilities might increase moderate attractiveness, ordinary designs hold broader appeal, indicating a preference for diversity in play space aesthetics. These insights offer profound implications for urban planners and designers, advocating for a child-centered approach in the creation of urban play environments that prioritize aesthetic diversity, and the integration of natural elements.ConclusionMoreover, the study situates Baihua Second Road as a paradigmatic case, illustrating the methodology and analytical framework applied in addressing the complex interplay between children’s play preferences and urban spatial configurations. By incorporating a comprehensive data-driven analysis, this research contributes significantly to the discourse on child-friendly urban design, offering valuable strategies for cultivating inclusive and engaging urban play spaces for children amidst the constraints of high-density city living.

A spatial analysis of risk factors associated with road collisions in Ciudad Juarez, Mexico and using a geographically weighted regression approach

This study examined changes in the spatial patterns and determinants of road collisions in Ciudad Juarez, Mexico in 2019 and 2020, encompassing the initial period of COVID-19 mobility restrictions. Kernel density estimation and local indicators of spatial association were used to compare collision distributions and identify significant clusters between years. A geographically weighted negative binomial regression model then generated local coefficients to analyze how demographic, socioeconomic, land use, and road network factors influenced collision probability spatially. Results show collisions decreased 13.18% in 2020 but clustered differently, validating restrictions' impact. Population aged 15–64 and industrial land uses significantly increased risk spatially, whereas commercial uses decreased. Lower socioeconomic conditions also correlated with higher risk. Younger populations presented varying collision likelihoods intra-urbanly. This research thus emphasizes how local contexts shape risk factors’ effects and informs data-driven safety policies accounting for place-specific issues. By adopting an explicitly spatial modeling approach, localized risk patterns were uncovered not detectable through traditional methods.

A high density of ultra-processed food, alcohol & tobacco retail stores, and social inequalities are associated with higher mortality rates of non-communicable diseases in Mexican adults: 2005 to 2021.

Non-communicable diseases (NCDs) are the leading causes of mortality in Mexico. Factors contributing to NCDs-related deaths may vary across small geographic areas such as municipalities. We aimed to predict municipal-level factors associated with NCD mortality in Mexican adults from 2005 to 2021 using the small-area analysis (SSA) approach. We gathered data on population sociodemographic, access to healthcare services, and mortality records at the municipal-level from census and public institutions from 2005 to 2021. We identified municipal predictors of NCDs mortality rates (MR) using negative binomial regression models. A total of 584,052 observations of Mexican adults were analyzed. The national expected NCDs MR per 100,000 inhabitants was 210.7 (95%CI: 196.1-226.7) in 2005 and increased to 322.4 (95%CI: 300.3-346.4) by 2021. Predictors of NCDs mortality (quintile 5 vs. quintile 1) included; indigeneity (IRR = 1.15, 95%CI: 1.12-1.19), poverty (IRR = 1.14, 95%CI: 1.13-1.15), affiliation with Mexican Social Security Institute (IRR = 1.11, 95%CI: 1.09-1.14), households with television (IRR = 1.14, 95%CI: 1.11-1.17), and high density of ultra-processed food, alcohol & tobacco retail stores (IRR = 1.15, 95%CI: 1.13-1.17). The greatest increases in MR were observed in municipalities from Oaxaca (>200% increments). There was an overall increase in NCDs MR from 2005 to 2021, with a significant geographic variation among Mexican municipalities. The results of this study highlight the importance of identifying priority areas in the country that urgently require public policies focused on local factors associated with deaths from NCDs, such as the regulation of the ultra-processed food, alcohol & tobacco retail stores, and efforts to reduce social inequalities.

Investigating built environment and traffic flow impact on crash frequency in urban road networks

While numerous studies have examined the factors that influence crash occurrence, there remains a gap in understanding the intricate relationship between built environment, traffic flow, and crash occurrences across different spatial units. This study explores how built environment attributes, and dynamic traffic flow characteristics affect crash frequency by focusing on proposed traffic density-based zones (TDZs). Utilizing a comprehensive dataset from Greater Melbourne, Australia, this research emphasizes on the dynamic traffic flow variables and insights from the Macroscopic Fundamental Diagram model, considering parameters such as shockwave velocity and congestion index. The association between the potential influencing factors and crash frequency is examined using a random parameter negative binomial regression model. Results indicate that the data segmentation based on TDZs is instrumental in establishing a more refined crash model compared to traditional planning-based zones, as demonstrated by improved goodness-of-fit measures. Factors including density (e.g., employment density), network design (e.g., road density and highway density), land use diversity (e.g., job-housing balance and land use mixture), and public transit accessibility (e.g., bus route density) are significantly associated with crash occurrence. Furthermore, the unobserved heterogeneity effects of the shockwave velocity and congestion index on crashes are revealed. The study highlights the significance of incorporating dynamic traffic flow variables in understanding crash frequency variations across different spatial units. These findings can inform optimal real-time traffic monitoring, environmental design, and road safety management strategies to mitigate crash risks.

Effect of the Communities that HEAL intervention on receipt of behavioral therapies for opioid use disorder: A cluster randomized wait-list controlled trial

BackgroundThe U.S. opioid overdose crisis persists. Outpatient behavioral health services (BHS) are essential components of a comprehensive response to opioid use disorder and overdose fatalities. The Helping to End Addiction Long-Term® (HEALing) Communities Study developed the Communities That HEAL (CTH) intervention to reduce opioid overdose deaths in 67 communities in Kentucky, Ohio, New York, and Massachusetts through the implementation of evidence-based practices (EBPs), including BHS. This paper compares the rate of individuals receiving outpatient BHS in Wave 1 intervention communities (n = 34) to waitlisted Wave 2 communities (n = 33). MethodsMedicaid data included individuals ≥18 years of age receiving any of five BHS categories: intensive outpatient, outpatient, case management, peer support, and case management or peer support. Negative binomial regression models estimated the rate of receiving each BHS for Wave 1 and Wave 2. Effect modification analyses evaluated changes in the effect of the CTH intervention between Wave 1 and Wave 2 by research site, rurality, age, sex, and race/ethnicity. ResultsNo significant differences were detected between intervention and waitlisted communities in the rate of individuals receiving any of the five BHS categories. None of the interaction effects used to test the effect modification were significant. ConclusionsSeveral factors should be considered when interpreting results—no significant intervention effects were observed through Medicaid claims data, the best available data source but limited in terms of capturing individuals reached by the intervention. Also, the 12-month evaluation window may have been too brief to see improved outcomes considering the time required to stand-up BHS. Trial registrationClinical Trials.gov http://www.clinicaltrials.gov: Identifier: NCT04111939

Exploring socioeconomic inequality in caries experience in an adult Norwegian population; the HUNT4 Oral Health Study.

To investigate socioeconomic inequality in caries experience in an adult Norwegian population. This population-based study included 4549 dentate participants aged 25-94 years from the cross-sectional HUNT4 Oral Health Study conducted in Central Norway in 2017-2019. Participants were randomly sampled from the larger HUNT4 Survey and answered questionnaires and underwent clinical and radiographic examinations. Caries experience was measured as numbers of decayed, missing and filled teeth (DMFT index) and socioeconomic position was denoted by education and household income. Negative binomial regression models were used to estimate associations between caries experience and socioeconomic position. Lower levels of both education and income were associated with higher caries experience, particularly pronounced for missing teeth. Socioeconomic gradients were observed for all outcomes DMFT, DT, MT and FT (p-value linear trends <.001). Gradients were similar for both income and education and were apparent for all age groups but were most evident in middle-aged and older individuals. High level of education was associated with a 50% lower mean number of missing teeth compared with basic level education, whereas high income was associated with a 24% lower mean number of decayed teeth and a 15% higher mean number of filled teeth than low income. There was a socioeconomic gradient for caries experience in the study population that was present from early adulthood and increased with age. The gradient was particularly pronounced for missing teeth. Findings indicate that inequality was more associated with treatment given than with untreated disease.

Pre-operative spine tumour embolization: Clinical outcomes and effect of embolization completeness.

To assess the association between the impact of the completeness of pre-operative spine tumour embolisation and clinical outcomes, including estimated blood loss (EBL), neurological status and complications. Retrospective chart review of all preoperative spine tumour embolisation procedures performed over 11 years by a single operator (2007-2018) at Vancouver General Hospital on 44 consecutive patients (mean age 57; 77% males) with 46 embolisation procedures, of which surgery was done en bloc in 26 cases and intralesional in the remaining 20. A multivariable negative binomial regression model was fit to examine the association between EBL and surgery type, tumour characteristics, embolisation completeness and operative duration. Among intralesional surgeries, complete versus incomplete embolisation was associated with reduced blood loss (772 vs 1428 mL, P < 0.01). There was no statistically significant difference in neurological outcomes or complications between groups. Highly vascular tumours correlated with greater blood loss than their less vascular counterparts, but tumour location did not have a statistically significant effect. This study provides evidence in support of our hypothesis that complete as opposed to incomplete tumour embolisation correlates with reduced blood loss in intralesional surgeries. Randomised control trials with larger samples are necessary to confirm this benefit and to ascertain other potential clinical benefits.

Healthy Days at Home Among Older Medicare Beneficiaries With Traumatic Brain Injury Requiring Inpatient Rehabilitation.

The objectives of this study were to characterize and identify correlates of healthy days at home (HDaH) before and after TBI requiring inpatient rehabilitation. Setting: Inpatient hospital, nursing home, and home health services. Average of n=631 community-dwelling fee-for-service age 66+ Medicare beneficiaries across 30 replicate samples who were hospitalized for traumatic brain injury (TBI) between 2012 and 2014 and admitted to an inpatient rehabilitation facility (IRF) within 72hours of hospital discharge. Retrospective study using data from Medicare claims supplemented with data from the National Trauma Databank. The primary outcome, HDaH, was calculated as time alive not using inpatient hospital, nursing home, and home health services in the year before TBI hospitalization and after IRF discharge. We found HDaH declined from 93.2% in the year before TBI hospitalization to 65.3% in the year after IRF discharge (73.6% among survivors only). Most variability in HDaH was: (1) in the first 3months after discharge and (2) by discharge disposition, with persons discharged from IRF to another acute hospital having the worst prognosis for utilization and death. In negative binomial regression models, the strongest predictors of HDaH in the year after discharge were rehabilitation Functional Independence Measure mobility score (β=0.03; 95% CI, 0.002-0.06) and inpatient Charlson Comorbidity Index score (β=-0.06; 95% CI, -0.13 to 0.001). Dual Medicaid eligible was associated with less HDaH among survivors (β=-0.37; 95% CI, -0.66 to -0.07). In this study, among community-dwelling older adults with TBI, we found a notable decrease in the proportion of time spent alive at home without higher-level care after IRF discharge compared to before TBI. The finding that physical disability and comorbidities were the biggest drivers of healthy days alive in this population suggests that a chronic disease management model is required for older adults with TBI to manage their complex health care needs.

310 Digital Physical Activity Phenotype before Cerebrovascular Disease: A Retrospective Study of Accelerometer-Measured Behavior in UK Biobank Observational Cohort

OBJECTIVES/GOALS: To investigate digital behavior patterns before cerebrovascular disease (CeVD), we compared accelerometer-measured physical activity (PA) phenotypes of future CeVD patients versus controls in UK Biobank. METHODS/STUDY POPULATION: Accelerometer data from 76,525 eligible participants monitored for 7-days (Jan. 2013-Dec. 2015) was classified into four categories: sedentary, light PA (LPA), moderate-to-vigorous PA (MVPA), and sleep. Covariables and diagnoses were defined using baseline data and patient records. Daily PA patterns associated with incident CeVD were compared to controls using negative binomial regression models. RESULTS/ANTICIPATED RESULTS: Adult participants with future CeVD (n = 2,163) spent 4.4% less time in MVPA (Incident Rate-Ratio (IRR) 0.956; 95% CI = 0.923-0.992; p = 0.016) compared to controls. During 0:00-5:59h (midnight to 5:59AM), future CeVD patients were less likely to sleep (IRR = 0.985; 95% CI = 0.977-0.992; p &lt;0.001) but more likely to be sedentary (IRR = 1.189; 95% CI = 1.098-1.290; p &lt;0.001) or in LPA (IRR = 1.108; 95% CI = 1.015-1.211; p &lt;0.001). In subgroup analyses, decreased MVPA was observed in current/former smokers (IRR = 0.887; 95% CI = 0.819-0.963), males (IRR = 0.931; 95% CI = 0.870-0.997), and the unemployed/retired (IRR = 0.923; 95% CI = 0.856-0.998), an effect more pronounced in depressed patients (p for interaction = 0.044) and prolonged (&gt; 2 hr/day) screen users (p for interaction = 0.018). DISCUSSION/SIGNIFICANCE: The digital phenotype of PA prior to CeVD is characterized by less sleep during 0:00-5:59h and less daily MVPA, demonstrating the utility of accelerometer data in identifying candidates for preventative intervention.

Associations of Serum Vitamin D With Dental Caries and Periodontitis: The HUNT Study

ObjectiveTo study the relationships of serum 25-hydroxyvitamin D [25(OH)D] with dental caries and periodontitis in a general Norwegian adult population. MethodsWe analysed a subsample of 1605 participants from the Trøndelag Health Study (HUNT) in Norway that had serum 25(OH)D) levels measured in HUNT3 (2006-08) and oral health assessed in the HUNT4 Oral Health Study (2017-19). Negative binomial and Poisson regression models were used to estimate the ratios of means (RMs; for count oral outcomes) and prevalence ratios (PRs; for dichotomous oral outcomes). ResultsSerum 25(OH)D was inversely associated with the number of decayed teeth in a dose-response gradient (<30.0 nmol/L: RM 1.41, 95% CI 1.07-1.85; 30.0-49.9 nmol/L: 1.14, 0.98-1.32 and ≥75.0 nmol/L: 0.84, 0.67-1.04, as compared to the 50.0-74.9 nmol/L group, P for trend <.001). Each 25 nmol/L decrease in 25(OH)D level was associated with a 15% (RM 1.15, 95% CI 1.05-1.26) increase in the mean number of decayed teeth. Serum 25(OH)D <30.0 nmol/L was associated with a 35% higher prevalence of severe periodontitis (PR 1.35, 95% CI 1.00-1.83). No association was observed between 25(OH)D and the number of natural teeth. ConclusionThe present study suggested that serum 25(OH)D level had an inverse and dose-response association with the number of decayed teeth, and serum 25(OH)D <30 nmol/L was associated with a higher prevalence of severe periodontitis in this Norwegian adult population.

Estimating the Effects of Regulating In-Person University Lectures on the Spread of COVID-19: Evidence from Japan

Universities were the only educational institutions that restricted in-person lectures during the prolonged coronavirus disease 2019 (COVID-19) pandemic. This study is the first attempt to estimate the effects of restricting in-person lectures on containing the spread of COVID-19. Our investigation was conducted on Japanese universities since their various lecture styles are suitable for our analysis. A multiple-event study negative binomial regression model was employed, and the results showed that restricting the ratio of in-person lectures had limited effects on decreasing COVID-19 infections among university students. For example, if universities restrict almost all in-person lecture from a rate of over half of in-person lectures, the number of student infections would decline by 5.5 per 10,000 students between seven weeks before and after the change. Other lecture style changes had even smaller differences. In addition, we estimated the effect of the start of long breaks on the number of infections and found that they lead to a relatively higher level of infections regardless of lecture styles at the end of semesters. This implies that students are more likely to be infected outside than in class.

The Moderating Role of Collectivism on Physical Activity and Family Support: A Cross-Sectional Design.

An important value among Korean Americans is collectivism or giving a group priority over the individual. This value, family support, and demographic characteristics have been reported to influence health behaviors among this group. Yet, no study has examined how collectivism, family support, and demographic characteristics interact with each other and then influence physical activity among Korean American adults. The purpose of the study was to examine the association between family support and physical activity, and the moderating role of demographic characteristics and collectivism on this association among Korean American adults. A descriptive, cross-sectional study was conducted with a sample of 110 Korean American adults 18 years and older, residing in a Southwestern city in the United States. Self-administered questionnaires were used to measure demographics, collectivism, family support, and physical activity. Data analysis using a zero-inflated negative binomial regression model revealed a positive relationship between family support and physical activity, while age and gender were moderators of the relationship between family support and physical activity. Collectivism was positively related to physical activity and moderated the relationship between family support and physical activity. These findings indicate the significance of collectivism and family support that influence Korean American adults' physical activity.

Healthcare Utilization and Direct Costs Prior to Subspecialty Care in Children with Chronic Pain Compared with Other Chronic Childhood Diseases: A Cohort Study

ObjectivesTo understand the burden associated with pediatric chronic pain (CP) on the healthcare system compared with other costly chronic diseases prior to subspecialty care. Study designIn this retrospective cohort study, we assessed all-cause healthcare utilization and direct healthcare costs associated with pediatric CP (n=91) compared with juvenile-onset arthritis (JA, n=135), inflammatory bowel disease (IBD, n=90), type 1 or type 2 diabetes (T1D, n=475, T2D, n=289), anxiety (n=7,193) and controls (n=273) two and five years prior to patients entering subspecialty care in Manitoba, Canada. Linked data from physician encounters, emergency department visits, hospitalizations, and prescriptions were extracted from administrative databases. Differences in healthcare utilization and direct healthcare costs associated with CP versus the other conditions were tested using negative binomial and zero-inflated negative binomial regression models, respectively. ResultsAfter adjustment for age at diagnosis, sex, location of residence, and socioeconomic status, CP continued to be associated with the highest number of consulted physicians and subspecialists and the highest number of physician billings compared with all other conditions (p<0.01, respectively). CP was significantly associated with higher physician costs than JA, IBD, T1D, T2D, or controls (p<0.01, respectively); anxiety was associated with the highest physician and prescription costs among all cohorts (p<0.01, respectively). ConclusionCompared with chronic inflammatory and endocrinologic conditions, pediatric CP and anxiety were associated with substantial burden on the healthcare system prior to subspecialty care, suggesting a need to assess gaps and resources in the management of CP and mental health conditions in the primary care setting.

Prevalence of osteosarcopenia and its association with mortality and fractures among patients undergoing hemodialysis.

Osteosarcopenia is an age-related syndrome characterized by the coexistence of osteoporosis and sarcopenia. Little is known about the clinical implications of osteosarcopenia among patients undergoing hemodialysis. This study investigated the prevalence of osteosarcopenia and its association with all-cause mortality and fractures in this population. This retrospective cohort study included outpatients undergoing hemodialysis in Japan. Sarcopenia was defined according to the recommendations of the Asian Working Group for Sarcopenia 2019. Osteoporosis was defined as a T-score of the calcaneus bone < - 2.5. We divided patients into three groups: robust (no osteoporosis or sarcopenia), osteoporosis or sarcopenia alone (osteoporosis without sarcopenia or sarcopenia without osteoporosis), and osteosarcopenia (osteoporosis and sarcopenia). Cox proportional-hazard and negative binomial regression models were used to estimate the associations between osteosarcopenia and all-cause mortality and fractures. Among the 328 patients (mean age, 65.5 ± 11.3years; men, 59.1%), the prevalence of osteosarcopenia was 22.9%. During the follow-up period (1972 person-years), 131 deaths and 113 fractures occurred. Patients with osteoporosis or sarcopenia alone (hazard ratio 1.36; 95% confidence interval 0.85-2.18) and osteosarcopenia (hazard ratio 2.13; 95% confidence interval, 1.23-3.68) showed a higher risk of all-cause mortality than the robust group. Similar results were observed for the risk of fractures in patients with osteosarcopenia. Patients undergoing hemodialysis showed a high prevalence of osteosarcopenia, and osteosarcopenia was associated with a poor prognosis in this patient population. Assessing osteosarcopenia may be useful for accurate prognostic stratification of patients undergoing hemodialysis.