General Linear Regression Model Research Articles

Helpful activities during the COVID-19 pandemic: Perceived benefits and actual association with psychiatric symptoms and psychological wellbeing

BackgroundFew studies have rigorously examined the effectiveness of commonly reported coping activities during the COVID-19 pandemic. This study was designed to assess perceived helpful activities during the pandemic and to investigate the extent to which these activities were associated with psychological outcomes. MethodAdults living in the US (N = 204), who were part of a longitudinal family study of depression responded to an online survey. They reported on their perceived helpful activities during the pandemic. General linear regression models (GLM) were used to evaluate the association between perceived helpful activities and current psychiatric symptoms, controlling for demographic factors, and pre-pandemic psychiatric history and symptoms. ResultsThe top perceived helpful activity during COVID-19 was communicating with friends/family via telephone text or video (75.5 %). However, of the top five activities endorsed, cooking/baking was associated with the most clinical outcomes, including lower anxiety/depression and greater psychological wellbeing (all ps < 0.05). These relationships were most prominent among younger individuals < age 40 years, females, and those with recent psychiatric history, although they extended to younger males, and individuals at high or low depression risk. LimitationsClose ended items limited variability in coping activities reported. The study lacked data on substance use. The sample was racially and ethnically homogenous. ConclusionsThese findings move beyond anecdotal evidence that cooking/baking as a coping activity yields protection against psychopathology. Its ready accessibility and ability to confer benefits across a range of individual characteristics, make it a useful adjunct in therapeutic interventions for people confined to their homes.

Are loneliness and social isolation equal threats to health and well-being? An outcome-wide longitudinal approach

The detrimental effects of loneliness and social isolation on health and well-being outcomes are well documented. In response, governments, corporations, and community-based organizations have begun leveraging tools to create interventions and policies aimed at reducing loneliness and social isolation at scale. However, these efforts are frequently hampered by a key knowledge gap: when attempting to improve specific health and well-being outcomes, decision-makers are often unsure whether to target loneliness, social isolation, or both. Filling this knowledge gap will inform the development and refinement of effective interventions. Using data from the Health and Retirement Study (13,752 participants (59% women and 41% men, mean [SD] age = 67 [10] years)), we examined how changes in loneliness and social isolation over a 4-year follow-up period (from t0:2008/2010 to t1:2012/2014) were associated with 32 indicators of physical-, behavioral-, and psychosocial-health outcomes 4-years later (t2:2016/2018). We used multiple logistic-, linear-, and generalized-linear regression models, and adjusted for sociodemographic, personality traits, pre-baseline levels of both exposures (loneliness and social isolation), and all outcomes (t0:2008/2010). We incorporated data from all participants into the overall estimate, regardless of whether their levels of loneliness and social isolation changed from the pre-baseline to baseline waves. After adjusting for a wide range of covariates, we observed that both loneliness and social isolation were associated with several physical health outcomes and health behaviors. However, social isolation was more predictive of mortality risk and loneliness was a stronger predictor of psychological outcomes. Loneliness and social isolation have independent effects on various health and well-being outcomes and thus constitute distinct targets for interventions aimed at improving population health and well-being.

Concentrations and association between exposure to mixed perfluoroalkyl and polyfluoroalkyl substances and glycometabolism among adolescents

Background Perfluoroalkyl and polyfluoroalkyl substances (PFASs) are widely used for industrial and commercial purposes and have received increasing attention due to their adverse effects on health. Objective To examine the relationship of serum PFAS and glycometabolism among adolescents based on the US National Health and Nutrition Examination Survey. Methods General linear regression models were applied to estimate the relationship between exposure to single PFAS and glycometabolism. Weighted quantile sum (WQS) regression models and Bayesian kernel machine regressions (BKMR) were used to assess the associations between multiple PFASs mixture exposure and glycometabolism. Results A total of 757 adolescents were enrolled. Multivariable regression model showed that Me-PFOSA-AcOH exposure was negatively associated with fasting blood glucose. WQS index showed that there was marginal negative correlation between multiple PFASs joint exposure and the homeostasis model of assessment for insulin resistance index (HOMA-IR) (β = −0.26, p < .068), and PFHxS had the largest weight. BKMR models showed that PFASs mixture exposure were associated with decreased INS and HOMA-IR, and the exposure-response relationship had curvilinear shape. Conclusions The increase in serum PFASs were associated with a decrease in HOMA-IR among adolescents. Mixed exposure models could more accurately and effectively reveal true exposure. Key Messages The detection rates of different PFAS contents in adolescent serum remained diverse. Adolescent serum PFASs had negative curvilinear correlation with INS and HOMA-IR levels. PFHxS had the highest weight in the associations between multiple PFASs and adolescent glycometabolism.

Climate change and mortality rates of COPD and asthma: A global analysis from 2000 to 2018

BackgroundClimate change plays a significant role in global health threats, particularly with respiratory diseases such as chronic obstructive pulmonary disease (COPD) and asthma, but the long-term global-scale impact of climate change on these diseases' mortality remains unclear. ObjectiveThis study aims to investigate the impact of climate change on the age-standardized mortality rates (ASMR) of COPD and asthma at national levels. MethodsWe used Global Burden of Disease (GBD) data of ASMR of COPD and asthma from 2000 to 2018. The climate change index was represented as the deviance percentage of temperature (DPT) and relative humidity (DPRH), calculated based on 19-year temperature and humidity averages. Annual temperature, RH, and fine particulate matter (PM2.5) levels in 185 countries/regions were obtained from ERA5 and the OECD's environmental statistics database. General linear mixed-effect regression models were used to examine the associations between climate change with the log of ASMR (LASMR) of COPD and asthma. ResultsAfter adjusting for annual PM2.5, SDI level, smoking prevalence, and geographical regions, a 0.26% increase in DPT was associated with decreases of 0.016, 0.017, and 0.014 per 100,000 people in LASMR of COPD and 0.042, 0.046, and 0.040 per 100,000 people in LASMR of asthma for both genders, males, and females. A 2.68% increase in DPRH was associated with increases of 0.009 and 0.011 per 100,000 people in LASMR of COPD. We observed a negative association of DPT with LASMR for COPD in countries/regions with temperatures ranging from 3.8 to 29.9 °C and with LASMR for asthma ranging from −5.3–29.9 °C. However, we observed a positive association of DPRH with LASMR for both COPD and asthma in the RH range of 41.2–67.2%. ConclusionClimate change adaptation and mitigation could be crucial in reducing the associated COPD and asthma mortality rates, particularly in regions most vulnerable to temperature and humidity fluctuations.

Laxative Abuse Is Associated With a Depleted Gut Microbial Community Structure Among Women and Men With Binge-Eating Disorder or Bulimia Nervosa: The Binge Eating Genetics Initiative.

This study assessed the associations of binge eating, compensatory behaviors, and dietary restraint with the composition and diversity of the intestinal microbiota among participants with binge-eating disorder or bulimia nervosa. We analyzed data from 265 participants aged 18 to 45 years with current binge-eating disorder or bulimia nervosa enrolled in the Binge Eating Genetics Initiative study. We evaluated the associations of binge-eating frequency; presence/absence and frequency of vomiting, laxative use, and compulsive exercise; and dietary restraint with abundances of gut microbial genera, species, and diversity (Shannon diversity, Faith phylogenetic diversity, and Peilou's evenness) from 16S rRNA gene sequencing. General linear regression models adjusted for potential confounders, including age and current body mass index, were used to test associations; p values were corrected for the false discovery rate. The normalized abundance of four genus- and species-level gut microbes and three diversity indices were lower among Binge Eating Genetics Initiative participants who reported any laxative use compared with those who reported no laxative use. Vomiting frequency was positively associated with the normalized abundance of the genus Escherichia-Shigella , a potential pathobiont, although the association was attenuated to nonsignificance after adjustment for age, body mass index, and binge-eating episodes. Laxative use was highly and uniformly predictive of a reduced gut microbial diversity including potential commensals and pathobionts, and should be assessed and accounted for in all future studies of eating disorders and the gut microbiota. Future studies should collect data on specific medications-particularly laxatives-and dietary intake to obtain unbiased estimates of the effect of eating disorders on the gut microbiota and identify potential downstream clinical implications.Trial Registration:ClinicalTrials.gov identifier: NCT04162574 .

Prediction of quality-adjusted life years (QALYs) after bariatric surgery using regularized linear regression models: results from a Swedish nationwide quality register

PurposeTo investigate whether the quality-adjusted life years (QALYs) of the patients who underwent bariatric surgery could be predicted using their baseline information.Materials and MethodsAll patients who received bariatric surgery in Sweden between January 1, 2011 and March 31, 2019 were obtained from the Scandinavian Obesity Surgery Registry (SOReg). Baseline information included patients’ sociodemographic characteristics, details regarding the procedure, and postsurgical conditions. QALYs were assessed by the SF-6D at follow-up years 1 and 2. The general and regularized linear regression models were used to predict postoperative QALYs.ResultsAll regression models demonstrated satisfactory and comparable performance in predicting QALYs at follow-up year 1, with R2 and relative root mean squared error (RRMSE) values of about 0.57 and 9.6%, respectively. The performance of the general linear regression model increased with the number of variables; however, the improvement was ignorable when the number of variables was more than 30 and 50 for follow-up years 1 and 2, respectively. Although minor L1 and L2 regularization provided better prediction ability, the improvement was negligible when the number of variables was more than 20. All the models showed poorer performance for predicting QALYs at follow-up year 2.ConclusionsPatient characteristics before bariatric surgery including health related quality of life, age, sex, BMI, postoperative complications within six weeks, and smoking status, may be adequate in predicting their postoperative QALYs after one year. Understanding these factors can help identify individuals who require more personalized and intensive support before, during, and after surgery.Graphical

Relationships of neck circumference and abdominal obesity with insulin resistance considering relative handgrip strength in middle-aged and older individuals

PurposeThis cross-sectional study evaluated how neck circumference (NC) influences the association between abdominal obesity (AO) and insulin resistance (IR) while considering relative handgrip strength (RHGS) in middle-aged and older people. MethodsUsing data from the 2019 Korea National Health and Nutrition Examination Survey for 3804 Korean adults aged 40–80 years, AO (waist circumference [WC] ≥90 cm for men, ≥85 cm for women), large NC (sex-specific highest 5th quintile), weak RHGS (sex-specific 1st quintile of HGS/body mass index), and IR (homeostasis model assessment of IR [HOMA-IR] ≥2.5) were defined. A complex sample general linear model and logistic regression analyses were performed after adjusting for confounding factors. ResultsAs NC increased, the relationship between WC and HOMA-IR increased (p for interaction <0.001). In the group with AO, large NC, or both, the adjusted odds ratio (AOR) for IR increased in the group with weak RHGS than in the group with normal RHGS. In the group with normal NC, the AOR for IR in those with AO (vs. those without AO) was 3.3 (95% confidence interval, 2.6–4.3) even after controlling for RHGS; however, the AOR was 5.3 (95% confidence interval, 2.7–10.4) in the group with large NC. These relationships of WC, NC, and RHGS with IR were comparable across sex and age groups. ConclusionsLarge NC increased the association between AO and IR independent of RHGS and the relationships between large NC and AO and insulin resistance varied according to RHGS.

Measuring Brain Temperature in Youth Bipolar Disorder Using a Novel Magnetic Resonance Imaging Approach: A Proof-of-concept Study.

There is evidence of alterations in mitochondrial energy metabolism and cerebral blood flow (CBF) in adults and youth with bipolar disorder (BD). Brain thermoregulation is based on the balance of heat-producing metabolism and heat-dissipating mechanisms, including CBF. To examine brain temperature, and its relation to CBF, in relation to BD and mood symptom severity in youth. This study included 25 youth participants (age 17.4 ± 1.7 years; 13 BD, 12 control group (CG)). Magnetic resonance spectroscopy data were acquired to obtain brain temperature in the left anterior cingulate cortex (ACC) and the left precuneus. Regional estimates of CBF were provided by arterial spin labeling imaging. Analyses used general linear regression models, covarying for age, sex, and psychiatric medications. Brain temperature was significantly higher in BD compared to CG in the precuneus. A higher ratio of brain temperature to CBF was significantly associated with greater depression symptom severity in both the ACC and precuneus within BD. Analyses examining the relationship of brain temperature or CBF with depression severity score did not reveal any significant finding in the ACC or the precuneus. The current study provides preliminary evidence of increased brain temperature in youth with BD, in whom reduced thermoregulatory capacity is putatively associated with depression symptom severity. Evaluation of brain temperature and CBF in conjunction may provide valuable insight beyond what can be gleaned by either metric alone. Larger prospective studies are warranted to further evaluate brain temperature and its association with CBF concerning BD.

Comparison of Cataract Surgery Outcomes in Patients with Type 1 versus Type 2 Diabetes and Patients without Diabetes.

To report outcomes of cataract surgery in type 1 diabetes (T1DM) compared to type 2 diabetes (T2DM) and patients without diabetes (DM). Academic tertiary referral university hospital eye center, Aurora, CO, USA. Retrospective chart review using the University of Colorado Cataract Outcomes Database for all cataract surgeries between 2014-2020. Demographics, ocular history, and postoperative outcomes were compared across groups using general linear and logistic regression modeling with estimating equations to account for some patients having two eyes included. A total of 8117 patients and 13,383 eyes were included. Compared to T2DM eyes undergoing cataract surgery (n=3115), T1DM eyes (n=233) were more likely to have a history of diabetic retinopathy (DR) (60.5% vs 23.6%), p<0.0001), of which proliferative DR was the most common (63.1% vs 42.4%, p<0.0001). T1DM eyes were also more likely to have a history of retinal detachment (RD) (9.0% vs 2.9%, p<0.0001) and prior vitrectomy surgery (12.9% vs 4.0%, p<0.0001). Despite having similar preoperative best-corrected visual acuity (BCVA) as T2DM eyes (logMAR 0.52 vs. 0.44, p=0.092), T1DM eyes had worse BCVA following cataract surgery (logMAR 0.27 vs 0.15, p=0.0003). In a multivariable analysis, a history of proliferative DR and prior RD were significant predictors of worse postoperative BCVA (p<0.0001) but type of DM was not (p=0.894). T1DM eyes have worse visual outcomes after cataract surgery compared to T2DM eyes. Worse postoperative visual acuity was associated with worse preoperative diabetic retinopathy and history of retinal detachment rather than type of DM.

Expert Algorithm for Substance Identification Using Mass Spectrometry: Statistical Foundations in Unimolecular Reaction Rate Theory.

This study aims to resolve one of the longest-standing problems in mass spectrometry, which is how to accurately identify an organic substance from its mass spectrum when a spectrum of the suspected substance has not been analyzed contemporaneously on the same instrument. Part one of this two-part report describes how Rice-Ramsperger-Kassel-Marcus (RRKM) theory predicts that many branching ratios in replicate electron-ionization mass spectra will provide approximately linear correlations when analysis conditions change within or between instruments. Here, proof-of-concept general linear modeling is based on the 20 most abundant fragments in a database of 128 training spectra of cocaine collected over 6 months in an operational crime laboratory. The statistical validity of the approach is confirmed through both analysis of variance (ANOVA) of the regression models and assessment of the distributions of the residuals of the models. General linear modeling models typically explain more than 90% of the variance in normalized abundances. When the linear models from the training set are applied to 175 additional known positive cocaine spectra from more than 20 different laboratories, the linear models enabled ion abundances to be predicted with an accuracy of <2% relative to the base peak, even though the measured abundances vary by more than 30%. The same models were also applied to 716 known negative spectra, including the diastereomers of cocaine: allococaine, pseudococaine, and pseudoallococaine, and the residual errors were larger for the known negatives than for known positives. The second part of the manuscript describes how general linear regression modeling can serve as the basis for binary classification and reliable identification of cocaine from its diastereomers and all other known negatives.

Association between the Urine Cotinine Level and Blood Pressure in Korean Adults with Secondhand Smoke Exposure: Korea National Health and Nutritional Examination Survey 2016-2018.

Similar to smoking, exposure to secondhand smoke is a risk factor for developing hypertension and cardiovascular diseases; however, there is no standardized method for measuring smoke exposure. Measuring urine cotinine levels is one possible means for determining the degree of exposure to secondhand smoke. This study investigated the association between urinary cotinine levels and blood pressure in Korean adults exposed to secondhand smoke. Data from the Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018 were used. A total of 9,273 participants aged ≥19 years self-reported as current non-smokers, which was cotinine- verified. A complex sample general linear model regression analysis was performed to analyze the association between urine cotinine and blood pressure. A P-value of <0.05 was considered statistically significant. Corrected urine cotinine levels were positively associated with systolic and diastolic blood pressure in female participants (P<0.001 and P=0.040, respectively). Furthermore, a 10-fold increase in the corrected urine cotinine level of those in contact with secondhand smoke was independently associated with 2.085 mm Hg and 0.575 mm Hg increases in systolic and diastolic blood pressure, respectively. However, there was no association between systolic and diastolic blood pressure in male participants (P=0.226 and P=0.256, respectively). Urinary cotinine levels were positively associated with increased blood pressure in females exposed to secondhand smoke. Therefore, urinary cotinine may be used as an indicator to quantify and monitor the effects of blood pressure elevation in females exposed to secondhand smoke.

0140 Nightmares are Associated with Increased Suicidality in Young Adulthood: A Population-based Cohort Study

Abstract Introduction Childhood nightmares have a second increase in incidence in young adulthood, which has been attributed to trauma and psychopathology. As suicide rates are high in young adults and have been associated with nightmares, more research is needed regarding this relationship in this age range. This study aimed to examine the association of nightmares, independent of sleep disturbances, insufficient sleep or trauma-history, with suicidality in young adulthood. Methods The Penn State Child Cohort is a random, population-based sample of 700 children (5-12 years at baseline) studied in the sleep laboratory who returned for follow-up visits during adolescence and young adulthood. For the current study, 258 young adults (25.1±2.7 years old, 53.9% female, 24.8% racial/ethnic minority) completed their follow-up visit 15.9±2.0 years later. Nightmares were ascertained by self-report. The presence of suicidality was ascertained from responses on items querying suicidal ideation and/or attempts via clinically-relevant sources (i.e., MINI structured interview, Child Behavior Checklist Adult Self-Report, and Depression Anxiety and Stress Scale). General linear and logistic regression models adjusted for important covariates. Results Subjects reporting nightmares (n=109) had a significantly higher rate of suicidality (29%) than those absent of nightmares (14%; p=0.002), after adjusting for sex, age, sleep disturbances, sleep duration and trauma history. This rate was even higher (46%) in those reporting moderate-to-severe nightmares (n=24; p&amp;lt; 0.01). The odds of suicidality associated with nightmares were 2.3-fold (95%CI=1.1-4.7), after adjusting for sex, age, sleep disturbances, sleep duration and trauma history (p=0.023); a risk that increased to 6.1-fold (95%CI=2.0-18.6) in those reporting moderate-to-severe nightmares (p=0.001). Conclusion These findings further strengthen previous research that has established nightmares’ significant relationship to increased suicidality, even when controlling for other important risk factors such as sleep disturbances and trauma history. Furthermore, as these results come from a random, population-based sample, it also demonstrates the generalizability of the association between nightmares and suicide. As the search for effective prevention strategies for suicide continues, it will be important to assess for the presence and severity of nightmares in those who express suicidal ideation, especially given the treatable nature of nightmares. Support (if any) National Institutes of Health (R01HL136587, R01MH118308, UL1TR000127)

Differences in mobile food market customer outcomes between 2019 and 2021.

To evaluate the outcomes of increasing mobile market service from mostly biweekly in 2019 to weekly in 2021. Repeated, cross-sectional customer intercept surveys. Mobile market customers in Summers 2019 (N=302) and 2021 (N=72). Mobile food markets bring affordable, high-quality foods to communities that lack such access. Outcomes included food security, fruit/vegetable intake, and food-related characteristics and behaviors. General linear and logistic regression models were used to assess associations between outcomes and survey year and length of mobile market shopping. Models were adjusted for economic assistance use, race, and ethnicity. No outcomes were significantly different between 2019 (with mostly biweekly service) and 2021 (with weekly service). Length of mobile market shopping (e.g., >2 years, 1-2 years, etc.) was positively associated with affordable, quality food access (β=0.20, SE=0.10, p=.03) and fruit/vegetable intake (β=0.28, SE=0.08, p<.001) as well as lower odds of food insecurity in the last 12 months (aOR=0.79, 95% CI=0.64, 0.99). Despite COVID-19 interrupting scheduled market service, the length of time that a survey respondent identified as a full-service mobile market customer was associated with higher food access and fruit/vegetable intake and reduced food insecurity odds. These findings suggest promise and encourage further evaluation.

Effects of Silirum®-Based Vaccination Programs on Map Fecal Shedding and Serological Response in Seven French Dairy Herds.

(1) Background: paratuberculosis is an important disease in ruminants, causing worldwide economic losses to the livestock industry. Although vaccination is known not to prevent transmission of the causative agent Mycobacterium avium subsp. paratuberculosis (Map), it is considered an effective tool for paratuberculosis in infected herds. The objectives of this controlled field study were to evaluate the effects of the whole-cell heat-killed Silirum® vaccine on Map fecal shedding and serological status in dairy herds infected with paratuberculosis. (2) Methods: The serological status (ELISA) and fecal shedding (qPCR) of 358 vaccinated cows were assessed over 3 years in 7 infected dairy herds in the Meuse department, France. Within each herd, cows from the last non-vaccinated birth cohort (n = 265) were used as controls. The probability and level of Map fecal shedding and the serological status were modeled using multivariable mixed general linear regression models. (3) Results: Overall, 34.7% of cows tested positive at least once on fecal qPCR, with significant differences between herds, but high shedding levels were observed in only 5.5% of cows. Compared to non-vaccinated seronegative cows, a statistically significant reduction in the probability of Map shedding was found only in cows vaccinated before 4 to 5 months of age that tested negative for Map antibodies throughout the study period (odds ratio = 0.5, 95% confidence interval: 0.3-0.9, p = 0.008), but no significant effect of vaccination on the amount of Map shedding could be evidenced. Finally, the younger the cows were when vaccinated, the less they tested positive on the serum ELISA. (4) Conclusions: a beneficial effect of vaccination on Map fecal shedding may exist in cows vaccinated before 4 to 5 months of age. The variability of the serum ELISA response in vaccinated cows remains to be investigated.

Utilizing psoas muscle cross-sectional area to predict functional outcome

Background This study evaluated psoas muscle area (PMA) as a predictor of frailty and functional outcome in trauma patients. Methods The cohort included 211 trauma patients admitted to an urban level I trauma center from March 2012 to May 2014 who consented to participate in a longitudinal study and underwent abdominal-pelvic computed tomography scans during their initial evaluation. Physical component scores (PCS) of the Veterans RAND 12-Item Health Survey were administered to assess physical functionality at baseline and at 3, 6, and 12 months after injury. PMA in mm2 and Hounsfield units was calculated using the Centricity PACS system. Statistical models were stratified by injury severity score (ISS), <15 or ≥15, and adjusted for age, sex, and baseline PCS. Follow-up PCS were analyzed using general linear regression models. Results For participants with an ISS <15, increased PMA was significantly associated with higher PCS at 3 (P = 0.008), 6 (P = 0.02), and 12 months (P = 0.002), although this relationship was not statistically significant for ISS ≥15 (P = 0.85, 0.66, 0.61). Conclusion For mild to moderately injured (but not seriously injured) patients, those with larger psoas muscles experience better functional outcomes after injury.

Association of environmental volatile organic compounds with depression in adults: NHANES 2013-2018

Volatile organic compounds (VOCs) exposure has been found to be associated with neurological dysfunction, with depression often being one of the classic symptoms of the disease, and indoor environments are more likely to be enriched with concentrations of VOCs. This cross-sectional study measured VOCs levels in whole blood, and estimated level of depression with the Patient Health Questionnaire in adults from NHANES 2013–2018. We found benzene (β = 0.40, 95%CI: 0.19, 0.61) and ethylbenzene (β = 0.22, 95%CI: 0.05, 0.39) were associated with depression adjusted for covariates in general linear regression models (GLM), and remained the consistent trend in quantile regression models. In indoor subgroup with higher VOCs level, benzene (β = 0.71, 95%CI: 0.21, 1.22), ethylbenzene (β = 0.47, 95%CI: 0.15, 0.78), and m-/p-xylene (β = 0.41, 95%CI: 0.15, 0.68) showed significant association with depression adjusted for covariates including cotinine in GLMs. Weighted quantile sum (WQS) model was used to assess the contribution of each VOC in mixed exposure. Results from WQS analyses revealed significantly positive associations between the mixed exposure and depression (β = 1.70, 95%CI: 1.18, 2.47), in which, benzene and ethylbenzene contributed 56% and 26%. We found statistically association between mixed exposure and depression before cotinine adjustment (β = 3.53, 95%CI: 2.78, 4.47). Our founding indicated a positive association between benzene and ethylbenzene exposure and depression, also with the most important effect in the mixture. Additionally, indoor VOCs sources of environmental pollution still cannot be ignored given the higher exposure level and health risk.

Harm reduction and recovery services support (HRRSS) to mitigate the opioid overdose epidemic in a rural community

BackgroundRural areas in the United States (US) are ravaged by the opioid overdose epidemic. Oconee County, an entirely rural county in northwest South Carolina, is likewise severely affected. Lack of harm reduction and recovery resources (e.g., social capital) that could mitigate the worst outcomes may be exacerbating the problem. We aimed to identify demographic and other factors associated with support for harm reduction and recovery services in the community.MethodsThe Oconee County Opioid Response Taskforce conducted a 46-item survey targeting a general population between May and June in 2022, which was mainly distributed through social media networks. The survey included demographic factors and assessed attitudes and beliefs toward individuals with opioid use disorder (OUD) and medications for OUD, and support for harm reduction and recovery services, such as syringe services programs and safe consumption sites. We developed a Harm Reduction and Recovery Support Score (HRRSS), a composite score of nine items ranging from 0 to 9 to measure level of support for placement of naloxone in public places and harm reduction and recovery service sites. Primary statistical analysis using general linear regression models tested significance of differences in HRRSS between groups defined by item responses adjusting for demographic factors.ResultsThere were 338 survey responses: 67.5% were females, 52.1% were 55 years old or older, 87.3% were Whites, 83.1% were non-Hispanic, 53.0% were employed, and 53.8% had household income greater than US$50,000. The overall HRRSS was relatively low at a mean of 4.1 (SD = 2.3). Younger and employed respondents had significantly greater HRRSS. Among nine significant factors associated with HRRSS after adjusting for demographic factors, agreement that OUD is a disease had the greatest adjusted mean difference in HRSSS (adjusted diff = 1.22, 95% CI=(0.64, 1.80), p < 0.001), followed by effectiveness of medications for OUD (adjusted diff = 1.11, 95%CI=(0.50, 1.71), p < 0.001).ConclusionsLow HRRSS indicates low levels of acceptance of harm reduction potentially impacting both intangible and tangible social capital as it relates to mitigation of the opioid overdose epidemic. Increasing community awareness of the disease model of OUD and the effectiveness of medications for OUD, especially among older and unemployed populations, could be a step toward improving community uptake of the harm reduction and recovery service resources critical to individual recovery efforts.

Mapping health assessment questionnaire disability index onto EQ-5D-5L in China.

This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients. The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted R 2 (adjR 2) and concordance correlation coefficient (CCC) were used to assess the predictive ability of the mapping algorithms. According to the average ranking of MAE, RMSE, adjR 2, and CCC, the mapping algorithm based on Beta performed the best. The mapping algorithm would perform better as the number of variables increasing. The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data.

Language exposure during infancy is negatively associated with white matter microstructure in the arcuate fasciculus

Decades of research have established that the home language environment, especially quality of caregiver speech, supports language acquisition during infancy. However, the neural mechanisms behind this phenomenon remain under studied. In the current study, we examined associations between the home language environment and structural coherence of white matter tracts in 52 typically developing infants from English speaking homes in a western society. Infants participated in at least one MRI brain scan when they were 3, 6, 12, and/or 24 months old. Home language recordings were collected when infants were 9 and/or 15 months old. General linear regression models indicated that infants who heard the most adult words and participated in the most conversational turns at 9 months of age also had the lowest fractional anisotropy in the left posterior parieto-temporal arcuate fasciculus at 24 months. Similarly, infants who vocalized the most at 9 months also had the lowest fractional anisotropy in the same tract at 6 months of age. This is one of the first studies to report significant associations between caregiver speech collected in the home and white matter structural coherence in the infant brain. The results are in line with prior work showing that protracted white matter development during infancy confers a cognitive advantage.

Association of Maternal BMI and Rapid Infant Weight Gain With Childhood Body Size and Composition.

Maternal prepregnancy BMI (ppBMI) and an infant's rapid weight gain (RWG) are each associated with increased risk for childhood obesity. We hypothesized that ppBMI and RWG interact to further raise childhood obesity risk. Mother-infant dyads (n = 414) from the Healthy Start Study, an observational prebirth cohort, were included. RWG was defined as a weight-for-age z score increase of ≥0.67 from birth to 3 to 7 months. Body composition was measured by air displacement plethysmography at age 4 to 7 years. General linear regression models were fit to characterize associations between ppBMI, RWG, and their interaction with the outcomes of childhood BMI-for-age z score and percent fat mass (%FM). A total of 18.6% (n = 77) of offspring experienced RWG. Maternal ppBMI and RWG were both positively associated with offspring BMI z score and %FM. RWG amplified the association between ppBMI and BMI z score, especially among females. Females exposed to maternal obesity and RWG had an average BMI at the 94th percentile (1.50 increase in childhood BMI z score) compared with those exposed to normal ppBMI and no RWG (average childhood BMI at the 51st percentile). RWG had a weaker effect on the association between ppBMI and %FM. Adjustment for breastfeeding status or childhood daily caloric intake did not significantly alter findings. Rapid infant weight gain interacts with maternal ppBMI to jointly exacerbate risk of childhood obesity. Pediatric providers should monitor infants for RWG, especially in the context of maternal obesity, to reduce future risk of obesity.