Log Link Function Research Articles

Shorter Telomere Length Is Associated With Older Age, Poor Sleep Hygiene, and Orthopedic Injury, but Not Mild Traumatic Brain Injury, in a Cohort of Canadian Children.

Predicting recovery following pediatric mild traumatic brain injury (mTBI) remains challenging. The identification of objective biomarkers for prognostic purposes could improve clinical outcomes. Telomere length (TL) has previously been used as a prognostic marker of cellular health in the context of mTBI and other neurobiological conditions. While psychosocial and environmental factors are associated with recovery outcomes following pediatric mTBI, the relationship between these factors and TL has not been investigated. This study sought to examine the relationships between TL and psychosocial and environmental factors, in a cohort of Canadian children with mTBI or orthopedic injury (OI). Saliva was collected at a postacute (median 7days) timepoint following injury to assess TL from a prospective longitudinal cohort of children aged 8 to 17years with either mTBI (n=202) or OI (n=90), recruited from 3 Canadian sites. Questionnaires regarding psychosocial and environmental factors were obtained at a postacute follow-up visit and injury outcomes were assessed at a 3-month visit. Univariable associations between TL and psychosocial, environmental, and outcome variables were assessed using Spearman's correlation. Further adjusted analyses of these associations were performed by including injury group, age, sex, and site as covariates in multivariable generalized linear models with a Poisson family, log link function, and robust variance estimates. After adjusting for age, sex, and site, TL in participants with OI was 7% shorter than those with mTBI (adjusted mean ratio=0.93; 95% confidence interval, 0.89-0.98; P =.003). As expected, increasing age was negatively associated with TL (Spearman's r =-0.14, P =.016). Sleep hygiene at 3months was positively associated with TL (adjusted mean ratio=1.010; 95% confidence interval, 1.001-1.020; P =.039). The relationships between TL and psychosocial and environmental factors in pediatric mTBI and OI are complex. TL may provide information regarding sleep quality in children recovering from mTBI or OI; however, further investigation into TL biomarker validity should employ a noninjured comparison group.

Reducing economic burden through split-shared care model for people living with uncontrolled type 2 diabetes and polypharmacy: a multi-center randomized controlled trial

BackgroundInterprofessional collaborative care such as a split-shared care model involving family physicians and community pharmacists can reduce the economic burden of diabetes management. This study aimed to evaluate the economic outcome of a split-shared care model between family physicians and community pharmacists within a pharmacy chain in managing people with uncontrolled type 2 diabetes and polypharmacy.MethodThis was a multi-center, parallel arm, open label, randomized controlled trial comparing the direct and indirect economic outcomes of people who received collaborative care involving community pharmacists (intervention) versus those who received usual care without community pharmacist involvement (control). People with uncontrolled type 2 diabetes, defined as HbA1c > 7.0% and taking ≥ 5 chronic medications were included while people with missing baseline economic data (such as consultation costs, medication costs) were excluded. Direct medical costs were extracted from the institution’s financial database while indirect costs were calculated from self-reported gross income and productivity loss, using Work Productivity Activity Impairment Global Health questionnaire. Separate generalized linear models with log link function and gamma distribution were used to analyze changes in direct and indirect medical costs.ResultsA total of 175 patients (intervention = 70, control = 105) completed the trial and were included for analysis. The mean age of the participants was 66.9 (9.2) years, with majority being male and Chinese. The direct medical costs were significantly lower in the intervention than the control group over 6 months (intervention: -US$70.51, control: -US$47.66, p < 0.001). Medication cost was the main driver in both groups. There were no significant changes in productivity loss and indirect costs in both groups.ConclusionImplementation of split-shared visits with frontline community partners may reduce economic burden for patient with uncontrolled type 2 diabetes and polypharmacy.Trial registrationClinicaltrials.gov Reference Number: NCT03531944 (Date of registration: June 6, 2018).

The effect of heavy smoking on retirement risk: A mendelian randomisation analysis

Background and aimsThe extent to which heavy smoking and retirement risk are causally related remains to be determined. To overcome the endogeneity of heavy smoking behaviour, we employed a novel approach by exploiting the genetic predisposition to heavy smoking, as measured with a polygenic risk score (PGS), in a Mendelian Randomisation approach. Methods8164 participants (mean age 68.86 years) from the English Longitudinal Study of Ageing had complete data on smoking behaviour, employment and a heavy smoking PGS. Heavy smoking was indexed as smoking at least 20 cigarettes a day. A time-to-event Mendelian Randomization (MR) analysis, using a complementary log–log (cloglog) link function, was employed to model the retirement risk. ResultsOur results show that being a heavy smoker significantly increases the risk of retirement (β = 1.324, standard error = 0.622, p < 0.05). Results were robust to a battery of checks and a placebo analysis considering the never-smokers. ConclusionsOverall, our findings support a causal pathway from heavy smoking to earlier retirement.

How effective is the BNT162b2 mRNA vaccine against SARS-CoV-2 transmission and infection? A national programme analysis in Monaco, July 2021 to September 2022

BackgroundWe quantified SARS-CoV-2 dynamics in different community settings and the direct and indirect effect of the BNT162b2 mRNA vaccine in Monaco for different variants of concern (VOC).MethodsBetween July 2021 and September 2022, we prospectively investigated 20,443 contacts from 6320 index cases using data from the Monaco COVID-19 Public Health Programme. We calculated secondary attack rates (SARs) in households (n = 13,877), schools (n = 2508) and occupational (n = 6499) settings. We used binomial regression with a complementary log–log link function to measure adjusted hazard ratios (aHR) and vaccine effectiveness (aVE) for index cases to infect contacts and contacts to be infected in households.ResultsIn households, the SAR was 55% (95% CI 54–57) and 50% (48–51) among unvaccinated and vaccinated contacts, respectively. The SAR was 32% (28–36) and 12% (10–13) in workplaces, and 7% (6–9) and 6% (3–10) in schools, among unvaccinated and vaccinated contacts respectively. In household, the aHR was lower in contacts than in index cases (aHR 0.68 [0.55–0.83] and 0.93 [0.74–1.1] for delta; aHR 0.73 [0.66–0.81] and 0.89 [0.80–0.99] for omicron BA.1&2, respectively). Vaccination had no significant effect on either direct or indirect aVE for omicron BA.4&5. The direct aVE in contacts was 32% (17, 45) and 27% (19, 34), and for index cases the indirect aVE was 7% (− 17, 26) and 11% (1, 20) for delta and omicron BA.1&2, respectively. The greatest aVE was in contacts with a previous SARS-CoV-2 infection and a single vaccine dose during the omicron BA.1&2 period (45% [27, 59]), while the lowest were found in contacts with either three vaccine doses (aVE − 24% [− 63, 6]) or one single dose and a previous SARS-CoV-2 infection (aVE − 36% [− 198, 38]) during the omicron BA.4&5 period.ConclusionsProtection conferred by the BNT162b2 mRNA vaccine against transmission and infection was low for delta and omicron BA.1&2, regardless of the number of vaccine doses and previous SARS-CoV-2 infection. There was no significant vaccine effect for omicron BA.4&5. Health authorities carrying out vaccination campaigns should bear in mind that the current generation of COVID-19 vaccines may not represent an effective tool in protecting individuals from either transmitting or acquiring SARS-CoV-2 infection.

Patient factors associated with chemotherapy modifications: Results from the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study.

520 Background: Understanding patient factors associated with an increased likelihood of receiving chemotherapy modifications is important for treatment planning and anticipating which patient groups might require extra support through the course of treatment. Methods: We have evaluated patient and tumor factors associated with chemotherapy modifications in a cohort of 9700 women receiving adjuvant chemotherapy for breast cancer at Kaiser Permanente Northern California (KPNC) and Kaiser Permanente Washington (KPWA) in the Optimal Breast Cancer Chemotherapy Dosing (OBCD) Study diagnosed between 2005-2019. The outcome variable, receipt of a ‘chemotherapy modification’ is defined as a composite representing any of the following deviations from the intended regimen: dose reduction &gt;10% (first cycle or overall), extensive delay (any single delay &gt;14 days), regimen change, or receipt of fewer cycles of any given drug than intended in the original chemotherapy plan. Multivariable-adjusted prevalence ratios (PR) and corresponding 95% confidence intervals (95% CI) were calculated using generalized linear models of the Poisson family with a log link-function and robust standard errors. Results: Several factors were associated with chemotherapy modifications. Notably, older age was associated with an increased likelihood of modifications (p-trend&lt;0.001), with adults aged 80+ years at diagnosis 1.93-fold more likely to experience modification than adults 18-39 years (95% CI: 1.50-2.50). Increased comorbidity and BMI were also associated with increased likelihood of modification (p-trend for both:&lt;0.001), with patients with a Charlson Comorbidity Index of 3+ (vs 0) having an PR of 1.33 (95% CI: 1.19-1.48) and those with a BMI of 35+ kg/m2 (vs &lt;25 kg/m2) having an PR of 1.53 (95% CI: 1.41-1.65). HER2+ status (PR HER2+ vs HER2-: 1.99 95% CI: 1.89-2.10) and higher stage of disease (PR IIIA vs I:1.24; 95% CI: 1.13-1.35; p-trend&lt;0.001) were associated with increased likelihood of chemotherapy modification, while hormone receptor positivity was associated with lower likelihood of modification (PR ER+ and/or PR+ vs ER-/PR-: 0.93; 95% CI: 0.88-0.99). Diagnosis in more recent years was also associated with decreased likelihood of modification (PR 2015-2019 vs 2004-2009: 0.70; 95% CI: 0.66-0.75), as was higher neighborhood income (PR Q4 vs Q1: 0.78; 95% CI: 0.72-0.84). Conclusions: Several patient-level and clinical factors were associated with chemotherapy modifications, including age, comorbidity, BMI, and ER/PR/HER2 status. Future research might focus on the groups noted to have increased risk of treatment modification to better understand the factors underlying these changes, as well as the impact on patient outcomes.

Patient characteristics associated with primary prophylactic granulocyte colony-stimulating factor (G-CSF) use among women treated for early-stage breast cancer.

e12605 Background: The National Comprehensive Cancer Network (NCCN) recommends several chemotherapy regimens for early-stage breast cancer that have elevated risk of neutropenia (&gt;20%). In these regimens, primary prophylactic use of granulocyte colony-stimulating factor (G-CSF) is recommended. Little is known about how patient-level factors relate to receipt of prophylactic G-CSF among women receiving these regimens. Methods: In the Optimal Breast Cancer Chemotherapy Dosing (OBCD) Study, we examined use of G-CSF among women with stage I-IIIA breast cancer between 2005-2019 in Kaiser Permanente Northern California (KPNC) and Kaiser Permanente Washington (KPWA). We evaluated the patient-level factors associated with primary prophylactic G-CSF use (≤7 days before to ≤3 days after first day of chemotherapy) among women receiving chemotherapy regimens with high risk of neutropenia, for which the NCCN guidelines recommend prophylactic G-CSF use. Multivariable-adjusted prevalence ratios (PR) and their corresponding 95% Confidence Intervals (95% CI) were calculated using generalized linear models of the Poisson family with a log link-function and robust standard errors. Results: Overall, while all 3,083 women receiving these regimens ultimately received G-CSF, 2412 (79%) received primary prophylactic G-CSF within the period 7 days prior to 3 days post first cycle. Younger women had higher prevalence of prophylactic G-CSF receipt (82.7% in ages 18-39 years vs. 58.1% in 70+ years). Black women had higher prevalence of receipt compared to white women (82.7% in non-Hispanic Black women vs 76.1% in White women). Women with a higher body mass index (BMI) had lower prevalence of receipt compared to normal weight women (73.3% in 35+ kg/m2 group vs 81.5% in 18.5-&lt;25 kg/m2 group). In multivariable models, older women were less likely to receive prophylactic G-CSF (PR70+ vs 18-39: 0.69; 95% CI: 0.57-0.84; p-trend&lt;0.001), as were those with a higher BMI (PRBMI 35+ vs 18.5-&lt;25: 0.92; 95% CI: 0.85, 0.97; p-trend=0.006), and a later year of diagnosis (PR2016-19 vs 2005-07: 0.81; 95% CI: 0.77, 0.85; p-trend&lt;0.001). Although race/ethnicity was not significantly associated with receipt of prophylactic G-CSF use overall in multivariable models, we observed Non-Hispanic Black women to experience slightly higher likelihood of G-CSF receipt than Non-Hispanic White women (PR: 1.08; 95% CI: 1.02, 1.15). Conclusions: Women of older age and those with higher BMI were less likely to receive primary prophylactic G-CSF, as were women treated in later years. Further research looking at timing of G-CSF use is warranted, as are studies examining provider/facility-level factors in relation to patterns of G-CSF use, G-CSF’s impact on survival outcomes, and the real-world impact of decisions around G-CSF use across age, BMI, and racial/ethnic groups.

Spending Analysis of Machine Learning-Based Communication Nudges in Oncology.

Serious illness conversations (SICs) in the outpatient setting may improve mood and quality of life among patients with cancer and decrease aggressive end-of-life care. Interventions informed by behavioral economics may increase rates of SICs between oncology clinicians and patients, but the impact of these interventions on end-of-life spending is unknown. This study is a secondary analysis of a stepped-wedge cluster randomized, controlled trial that involved nine medical oncology practices and their high-risk patients at a large academic institution between June 2019 and April 2020. The study included 1187 patients who were identified by a machine-learning algorithm as high risk of 180-day mortality and who died by December 2020. The patients were randomly assigned to standard of care (controls) or to a behavioral intervention designed to increase clinician-initiated SICs. We abstracted spending - defined as inflation-adjusted costs for acute care (inpatient plus emergency room), office/outpatient care, intravenous systemic therapy, other therapy (e.g., radiation), long-term care, and hospice - from the institution's accounting system, and we captured spending at inpatient, outpatient, and pharmacy settings. To evaluate intervention impacts on spending, we used a two-part model, first using logistic regression to model zero versus nonzero spending and second using generalized linear mixed models with gamma distribution and log-link function to model daily mean spending in the last 180days of life. Models were adjusted for clinic and wedge fixed effects, and they were clustered at the oncologist level. For all patients with at least one SIC within 6 months of death, we also calculated their mean daily spending before and after SIC. Median age at death was 68years (interquartile range, 15.5), 317 patients (27%) were Black or of ethnicities other than white, and 448 patients (38%) had an SIC. The intervention was associated with lower unadjusted mean daily spending in the last 6 months of life for the intervention group versus controls ($377.96 vs. $449.92; adjusted mean difference, -$75.33; 95% confidence interval, -$136.42 to -$14.23; P=0.02), translating to $13,747 total adjusted savings per decedent and $13 million in cumulative savings across all decedents in the intervention group. Compared with controls, patients in the intervention group incurred lower mean daily spending for systemic therapy (adjusted difference, -$44.59; P=0.001), office/outpatient care (-$9.62; P=0.001), and other therapy (-$8.65; P=0.04). The intervention was not associated with differences in end-of-life spending for acute care, long-term care, or hospice. Results were consistent for spending in the last 1 and 3 months of life and after adjusting for age, race, and ethnicity. For patients with SICs, mean daily spending decreased by $37.92 following the first SIC ($329.87 vs. $291.95). A machine learning-based, behaviorally informed intervention to prompt SICs led to end-of-life savings among patients with cancer, driven by decreased systemic therapy and outpatient spending. (Funded by the Penn Center for Precision Medicine and the National Institutes of Health; ClinicalTrials.gov number, NCT03984773.).

The global effects of digestive system cancers worldwide on the COVID-19 pandemic by negative binomial (mixed) regression models

In this study, the main goal is to determine statistically significant relationships between the biggest epidemic problem of last years as the COVID-19 pandemic and digestive system cancers belonging to 168 countries worldwide using generalized linear mixed model (GLMM) and its special case as generalized linear model (GLM) approaches, and to obtain global inferences that will shed light on this pandemic. For this goal, the response variable is “total cases of the COVID-19 pandemic per 100,000 people” until January 14, 2022. The explanatory variables are total number of people suffering from colon and rectum, stomach, lip and oral cavity, esophageal, and nasopharynx cancers belonging to 2019, respectively. In this study, the negative binomial (NB) regression model in GLM using iteratively reweighted least squares (IRLS) algorithm and the NB mixed regression model in GLMM with “countries” taken as “random effects” using Adaptive Gauss-Hermite Quadrature (AGHQ) approximation method at 1, 2, 10, and 20 quadrature points are used for modelling the COVID-19 pandemic and digestive systems cancer data. In this study, by using information criteria, the NB mixed regression model in GLMM under log-link function with 168 countries taken as random effects using AGHQ method at 20 quadrature point is detected as the most appropriate model for the global COVID-19 pandemic and digestive system cancers data.

Ethnicity and refractive errors in Peruvian children aged 7–11 years: A five-year analysis of the Demographic and Health Survey

ObjectiveTo assess the association between ethnicity and self-reported refractive errors (REs) among Peruvian children aged 7–11 years. Materials and methodsWe conducted a cross-sectional study incorporating a secondary data analysis of 2017–2021 data from the Peruvian Demographic and Health Survey (DHS). REs and ethnicity were obtained from focal child's mother's report. Four outcomes were assessed: hyperopia, myopia, astigmatism and any RE. We included potential confounders, such as age, sex, wealth index, area of residence, region of origin, frequency of watching TV and watching screens at less than 30 cm distance. Generalised linear models with the Poisson family and log link function were used to calculate crude prevalence ratio and adjusted prevalence ratio (aPR) with 95% confidence intervals (95% CI). ResultsData from a total of 52,753 children were included. The prevalence of RE in children aged 7–11 years was 10.90% (95% CI 10.49–11.33), of which 5.19% were hyperopia, 3.35% myopia and 2.36% astigmatism. Those of the Aymara ethnicity were less likely to suffer from any RE and astigmatism (aPR = 0.68, 95% CI 0.46–0.99, p = 0.046; aPR = 0.70, 95% CI 0.53–0.92, p = 0.012, respectively), Members of Amazon groups were more likely to have hyperopia (aPR = 1.95, 95% CI 1.14–3.36, p = 0.015) and Quechuas were more likely to have myopia (aPR =1.29, 95% CI 1.02–1.62, p = 0.028), where all were compared to Mestizos. ConclusionAbout 1 in 10 Peruvian children suffer from a RE. The most frequent RE in this study was hyperopia. Ethnic differences were seen in the frequency of RE.

Trends and predictors of inflation-adjusted costs in transcatheter and surgical aortic valve replacement in a nationally representative sample

BackgroundTranscatheter aortic valve replacement has become an accepted alternative to surgical aortic valve replacement. We examined the trends and predictors in inflation-adjusted costs of transcatheter aortic valve replacement and surgical aortic valve replacement. MethodsNational Inpatient Sample identified patients who underwent aortic valve replacement for severe aortic stenosis by International Classification of Diseases, Ninth and Tenth Revisions, codes. Hospitalization costs were inflation-adjusted using the Federal Reserve’s consumer price index to reflect current valuation. Outcomes of interest were unadjusted trend in annual cost for each procedure and predictors of in-patient cost. Generalized linear models with a log link function identified predictors of adjusted costs. Interaction terms determined where cost predictors were different by operation type. ResultsBetween 2011 and 2019, the mean annual inflation-adjusted cost of surgical aortic valve replacement increased from $62,853 to $63,743, in contrast to decreasing cost of transcatheter aortic valve replacement from $64,913 to $56,042 ($1,854 per year; P = .004). Significant independent predictors of patient-level cost included operation type (transcatheter aortic valve replacement associated with $9,625 increase; P < .001), incidence of in-hospital mortality ($28,836 increase; P < .001), elective status ($2,410 decrease; P < .001), Elixhauser Index ($995 increase; P < .001), and postoperative length of stay ($2,014 per day increase; P < .001). Compared to discharges with Medicare, discharges with private insurance and Medicaid paid $736 less (P = .004) and $1,863 less (P = .01), respectively. Increasing hospital volume was a significant predictor of decreasing patient level cost (P < .001). ConclusionAnnual cost of transcatheter aortic valve replacement has decreased significantly and has been a more cost-effective modality compared to surgical aortic valve replacement since 2017. Predictors of patient-level costs allow for mindful preparation of healthcare systems for aortic valve replacement.

Households neighboring wildlife protected areas may be at a higher risk of rabies than those located further away: a community-based cross-sectional cohort study at Pian Upe game reserve, Bukedea district, Eastern Uganda

IntroductionThis study examines rabies incidence and associated risk factors at the interface between wildlife and human communities near Pian-Upe game reserve in Eastern Uganda. We hypothesized that human settlements in closer proximity to the reserve would exhibit higher rabies risk compared to those located further away.MethodsUsing a standard questionnaire, households within &amp;lt;4, 4-14, and &amp;gt;14 km from the Pian Upe game reserve in Bukedea District were interviewed. Data on socio-demographic characteristics, recent rabid animal bites, and suspected human and livestock rabies cases for the past year (2023) were collected after seeking informed consent. Descriptive statistics were used to analyze socio-demographic information and incidence data, while separate binomial generalized linear models with log-link function were used to identify predictors of rabies incidence and mortality.ResultsBetween January and March 2023, 302 participants were interviewed. Respondents had an average age of 44 years with 34% (n=103) being female. All households owned at least one dog, though only 47% (n=142) had vaccinated their dogs against rabies in the past year. Additionally, 39% (n=118) of respondents used dogs for hunting. Rabies annual incidence increased with decreasing distance to the game reserve (7.5 to 15.7% for humans, for the dogs, and 5.0 to 9.8% for livestock, including cows, goats and sheep). Significant factors associated with rabies in humans included primary education level (aRR=3.8, 95%CI 1.0-23.7) and grazing livestock in the reserve (aRR=5.30, 95%CI 1.0-40.3). Mortality was associated with fetching firewood from the game reserve (aRR=4.7, 95%CI 1.3-17.5).ConclusionsThis study reveals that there is an increased risk of rabies for domesticated animals and people located within proximity to the game reserve. Further efforts to prevent the spread of rabies could include increasing education and awareness for communities along with targeted dog vaccination in settlements surrounding wildlife protected areas.

Hypertension subtypes at high altitude in Peru: Analysis of the Demographic and Family Health Survey 2016-2019.

The prevalence of hypertension in Peru has increased over the years. Approximately one third of the Peruvian population lives at high altitudes. This population presents particular physiological, genetic and environmental characteristics that could be related to the prevalence of hypertension and its subtypes. To assess the association between altitude and hypertension in the Peruvian population through an analysis of a nationally representative survey. We conducted a cross-sectional analysis of the Demographic and Family Health Survey for the period 2016-2019. We included 122,336 individuals aged 18 years and older. Hypertension was defined according to the JNC-7 guidelines. High-altitude location was defined as a residential cluster located above 2,500 meters above sea level. We utilized generalized linear models from the Poisson family with a log-link function to assess the magnitude of the association between high altitude and hypertension. Additionally, we employed multinomial regression models to analyze the association between high altitude and subtypes of hypertension, including isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic-diastolic hypertension (SDH). In the adjusted Poisson regression model, we found that the prevalence of hypertension among participants living at high altitudes was lower compared to those living at low altitudes (aPR: 0.89; 95% CI: 0.86-0.93). In the adjusted multinomial regression model, we observed a lower prevalence rate of ISH among participants residing at high altitudes (aRPR: 0.68; 95% CI: 0.61-0.73) and a higher prevalence rate of IDH among participants residing at high altitudes (aRPR: 1.60; 95% CI: 1.32-1.94). Residents at high altitudes in Peru have a lower prevalence rate of ISH and a higher prevalence rate of IDH compared to those living at low altitudes. Further studies are needed to determine the influence of other biological, environmental, and healthcare access factors on this relationship.

The effect of improving psychosocial stressors on psychological distress: a quasi-experiment of Finnish health and social care workers.

To examine how a positive change in one to three psychosocial stressors (job demands, job rewards, and workplace social capital) influenced psychological distress. The analysis included 3605 Finnish health and social services workers who completed surveys in 2019, 2020 and 2021. A logistic regression model was used to estimate the propensity score of experiencing a positive change in one to three psychosocial stressors between 2019 and 2020. We balanced the baseline characteristics with propensity scoring. A generalised linear model with a binomial distribution and a log link function was used to compare the quasi-intervention and quasi-control groups for the risk of psychological distress in 2021. Among the total sample, neither improving a single stressor nor two or three stressors affected psychological distress. However, among employees younger than 50 years, improving two or three psychosocial stressors in 2019-2020 decreased the risk of moderate to severe psychological distress in 2021 by 41% (risk ratio 0.59, 95% confidence interval 0.36-0.96). Among employees aged 50 years or older, improving job rewards lowered the risk of mild to severe psychological distress by 23% (risk ratio 0.77, 95% confidence interval 0.62-0.96). The results of this quasi-experiment suggest that the positive effect of improving psychosocial stressors is stronger among younger than older workers. Future interventions should be customised for different ages and aim to improve accumulated work stressors and individual stress-coping skills.

MbDecoda: a debiased approach to compositional data analysis for microbiome surveys.

Potentially pathogenic or probiotic microbes can be identified by comparing their abundance levels between healthy and diseased populations, or more broadly, by linking microbiome composition with clinical phenotypes or environmental factors. However, in microbiome studies, feature tables provide relative rather than absolute abundance of each feature in each sample, as the microbial loads of the samples and the ratios of sequencing depth to microbial load are both unknown and subject to considerable variation. Moreover, microbiome abundance data are count-valued, often over-dispersed and contain a substantial proportion of zeros. To carry out differential abundance analysis while addressing these challenges, we introduce mbDecoda, a model-based approach for debiased analysis of sparse compositions of microbiomes. mbDecoda employs a zero-inflated negative binomial model, linking mean abundance to the variable of interest through a log link function, and it accommodates the adjustment for confounding factors. To efficiently obtain maximum likelihood estimates of model parameters, an Expectation Maximization algorithm is developed. A minimum coverage interval approach is then proposed to rectify compositional bias, enabling accurate and reliable absolute abundance analysis. Through extensive simulation studies and analysis of real-world microbiome datasets, we demonstrate that mbDecoda compares favorably with state-of-the-art methods in terms of effectiveness, robustness and reproducibility.

The hospital frailty risk score independently predicts postoperative outcomes in meningioma patients

ObjectiveThe Hospital Frailty Risk Score (HFRS) is a recently developed tool that uses ICD-10 codes to measure patient frailty. However, the effectiveness of HFRS has not yet been assessed in meningioma patients specifically. The present study aimed to evaluate the effectiveness of HFRS in predicting surgical outcomes for patients with meningiomas. MethodsThis retrospective study utilized data from patients undergoing meningioma resection at a single institution (2017–2019). Data were obtained through a combination of automated data retrieval and manual chart review. Bivariate logistic regression was used to assess the prognostic ability of several frailty indices for predicting postoperative outcomes. Further, discrimination for each model was assessed using the area under the receiver operating characteristic curve (AUROC). Generalized linear models with gamma error distributions and a log-link function were used to model hospital length of stay (LOS), total charges, complications, and disposition. ResultsA total of 464 meningioma patients (mean age 58.20 years, 72.8 % female, 66.4 % white) were included. HFRS had a significantly greater AUROC when compared to ASA (p = 0.0074) for postoperative complications, and HFRS significantly outperformed ASA (p = 0.0021) and mFI-5 (p = 0.018) when predicting nonroutine discharge. On multivariate analysis, increasing HFRS scores were significantly and independently associated with greater LOS (p < 0.0001), higher hospital charges (p < 0.0001), higher odds of postoperative complications (OR = 1.05, p = 0.019), and nonroutine discharge (OR = 1.12, p < 0.0001). The HFRS was non-inferior compared to the mFI-5, CCI, ASA and mFI-11 in terms of model discrimination. ConclusionHFRS effectively predicts postoperative outcomes for meningiomas and outperforms other indices in predicting complications and nonroutine discharge. This novel index may be used to improve clinical decision-making and reduce adverse postoperative outcomes among meningioma patients.

Association between Body Appreciation and Depression, Anxiety, and Stress among Filipino Emerging Adults: Modification by Age and Sex at Birth

Emerging adulthood is a new stage of development that follows identity explorations during adolescence and precedes adulthood. During this phase, varied perceptions of body image may affect the mental health status of these individuals. This research examined the association between body appreciation (BA) as a measure of body image and mental health outcomes – particularly, depression, anxiety, and stress. A cross-sectional survey was used to ascertain data from 3,127 18–29-yr-old Filipinos (67% female; mean age = 21) residing in the Philippines using an online self-administered questionnaire. BA Scale-2 (BAS-2) measured BA, whereas DASS-21 assessed levels of depression, anxiety, and stress. Associations between BA, and mental health outcomes were estimated using Poisson regression models with a log-link function and a robust variance estimator. A higher BAS- 2 score (2nd–4th Quartiles) is associated with a reduced risk of severe/extreme levels of depression, anxiety, and stress than a low BAS-2 score (1st Quartile). Moreover, the association between BA and stress may be stronger among female participants (p-value interaction = 0.01) and late emerging adults (p-value interaction = 0.47). However, effect modification by age and sex was insignificant for the association between BA and anxiety and depression (p-values for interaction &gt; 0.15).

Air pollution and upper respiratory diseases: an examination among medically insured populations in Wuhan, China.

Multiple evidence has supported that air pollution exposure has detrimental effects on the cardiovascular and respiratory systems. However, most investigations focus on the general population, with limited research conducted on medically insured populations. To address this gap, the current research was designed to examine the acute effects of inhalable particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), ground-level ozone (O3), and sulfur dioxide (SO2) on the incidence of upper respiratory tract infections (URTI), utilizing medical insurance data in Wuhan, China. Data on URTI were collected from the China Medical Insurance Basic Database for Wuhan covering the period from 2014 to 2018, while air pollutant data was gathered from ten national monitoring stations situated in Wuhan city. Statistical analysis was performed using generalized additive models for quasi-Poisson distribution with a log link function. The analysis indicated that except for ozone, higher exposure to four other pollutants (NO2, SO2, PM2.5, and PM10) were significantly linked to an elevated risk of URTI, particularly during the previous 0-3 days and previous 0-4 days. Additionally, NO2 and SO2 were found to be positively linked with laryngitis. Furthermore, the effects of air pollutants on the risk of URTI were more pronounced during cold seasons than hot seasons. Notably, females and the employed population were more susceptible to infection than males and non-employed individuals. Our findings gave solid proof of the link between ambient air pollution exposure and the risk of URTI in medically insured populations.

Risk factors associated with neonatal mortality among neonates admitted to neonatal intensive care unit of the University Teaching Hospital in Lusaka

Globally, several children die shortly after birth and many more of them within the first 28 days of life. Sub-Sharan Africa accounts for almost half (43%) of the global neonatal death with slow progress in reduction. These neonatal deaths are associated with lack of quality care at or immediately after birth and in the first 28 days of life. This study aimed to determine the trends and risk factors of facility-based neonatal mortality in a major referral hospital in Lusaka, Zambia. We conducted retrospective analysis involving all neonates admitted in the University Teaching Hospital Neonatal Intensive Care Unit (UTH-NICU) in Lusaka from January 2018 to December 2019 (N = 2340). We determined the trends and assessed the factors associated with facility-based neonatal mortality using Generalized Linear Models (GLM) with a Poisson distribution and log link function. Overall, the facility-based neonatal mortality was 40.2% (95% CI 38.0–42.0) per 1000 live births for the 2-year period with a slight decline in mortality rate from 42.9% (95% CI 40.0–46.0) in 2018 to 37.3% (95% CI 35.0–40.0) in 2019. In a final multivariable model, home delivery (ARR: 1.70, 95% CI 1.46–1.96), preterm birth (ARR: 1.59, 95% CI 1.36–1.85), congenital anomalies (ARR: 1.59, 95% CI 1.34–1.88), low birthweight (ARR: 1.57, 95% CI 1.37–1.79), and health centre delivery (ARR: 1.48, 95% CI 1.25–1.75) were independently associated with increase in facility-based neonatal mortality. Conversely, hypothermia (ARR: 0.36, 95% CI 0.22–0.60), antenatal attendance (ARR: 0.76, 95% CI 0.68–0.85), and 1-day increase in neonatal age (ARR: 0.96, 95% CI 0.95–0.97) were independently associated with reduction in facility-based neonatal mortality. In this hospital-based study, neonatal mortality was high compared to the national and global targets. The improvement in neonatal survival observed in this study may be due to interventions including Kangaroo mother care already being implemented. Early identification and interventions to reduce the impact of risks factors of neonatal mortality in Zambia are important.

Association between intimate partner violence and pregnancy intention: evidence from the Peruvian demographic and health survey

BackgroundIntimate partner violence (IPV) in Peru represents a significant public health challenge. IPV can influence women’s reproductive and social behaviors, undermining fertility control, and exacerbating unintended pregnancies. Our objective was to assess the association between IPV and pregnancy intention among Peruvian women of reproductive age.MethodsWe conducted a secondary analysis of Peru’s 2020 Demographic and Family Health Survey data. The independent variable in this study was IPV against women, which includes psychological IPV, sexual IPV, and physical IPV. If a respondent experienced any of these three forms of IPV, the IPV variable was labeled as “yes”; if none were present, it was labeled as “no”. The dependent variable was pregnancy intention (no vs. yes). We utilized a generalized linear model (GLM) from the Poisson family with a log link function to assess the relationship between IPV occurrences (total and each IPV type) and pregnancy intention. We report crude and adjusted prevalence ratios (aPR) with 95% confidence intervals (95%CI).ResultsWe analyzed data from 8466 women aged 15 to 49. The prevalence of any IPV was 49.6% (psychological IPV: 45.8%; physical IPV: 22.2%; and sexual IPV: 4.3%). Exposure to physical IPV (aPR: 1.05; 95% CI: 1.03–1.07), psychological IPV (aPR: 1.04; 95% CI: 1.02–1.06), and sexual IPV (aPR: 1.09; 95% CI: 1.04–1.13), as well as a history of any IPV (aPR: 1.05; 95% CI: 1.02–1.07), were associated with a higher probability of not intending to become pregnant. This association persisted after adjusting for confounders like age, marital status, educational attainment, education level of the child’s father, place of residence, wealth, ethnicity, and parity.ConclusionOne in two Peruvian women reported experiencing IPV. An association was observed between IPV exposure and a higher probability of not holding an intention to become pregnant.

Sleep duration has a limited impact on the prevalence of menstrual irregularities in athletes: a cross-sectional study.

This study aimed to investigate the relationship between the prevalence of menstrual irregularities, energy intake, and sleep deprivation among female athletes. A total of 128 female athletes, with an average age of 19.2 ± 1.2 years, participated in the study and tracked their food intake over a three-day period. Menstrual status and sleep duration were assessed using a questionnaire, and psychological anxiety was evaluated using the State and Trait Anxiety Inventory (STAI). These were measured once during the investigation. The impact of sleep status on state anxiety and daily energy intake was examined using the T-test. A generalized linear model (GLM) with a log link function was employed to investigate the effects of sleep deprivation on the presence of menstrual irregularities. As the results of the present study, sleep deprivation significant increased both state and trait anxiety (p < 0.05), as well as affecting energy intake (p < 0.05), particularly protein and carbohydrate intakes (p < 0.05). However, GLM analysis indicated that while sleep deprivation did not directly influence the prevalence of menstrual irregularities (p > 0.05), state anxiety emerged as a significant factor impacting the prevalence of menstrual irregularities (p < 0.05). The results of the present study suggest a potential pathway wherein sleep deprivation might elevate state anxiety levels, consequently indirectly contributing to an increase the probability of menstrual irregularities. In conclusion, the results of the presents study provide novels insights suggesting that sleep deprivation might directly increase state anxiety and indirectly affect the prevalence of menstrual irregularities. Hence, decreased sleep duration might be related to mental health issues and the prevalence of menstrual irregularities both significant concerns among female athletes. Future studies will play a crucial role in further elucidating how sleep patterns impact the health and well-being of female athletes.