Joint Effects Model Research Articles

Joint effects of prenatal exposure to indoor air pollution and psychosocial factors on early life inflammation

It is hypothesized that air pollution and stress impact the central nervous system through neuroinflammatory pathways Despite this, the association between prenatal exposure to indoor air pollution and psychosocial factors on inflammatory markers in infancy has been underexplored in epidemiology studies. This study investigates the individual and joint effects of prenatal exposure to indoor air pollution and psychosocial factors on early life inflammation (interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α)). We analyzed data from the South African Drakenstein Child Health Study (N = 225). Indoor air pollution and psychosocial factor measurements were taken in the 2nd trimester of pregnancy. Circulating inflammatory markers (IL-1β, Il-6, and TNF-α) were measured in serum in the infants at 6 weeks postnatal. Linear regression models were used to investigate associations between individual exposures and inflammatory markers. To investigate joint effects of environmental and psychosocial factors, Self-Organizing Maps (SOM) were used to create exposure profile clusters. These clusters were added to linear regression models to investigate the associations between exposure profiles and inflammatory markers. All models were adjusted for maternal age, maternal HIV status, and ancestry to control for confounding. Most indoor air pollutants were positively associated with inflammatory markers, particularly benzene and TNF-α in single pollutant models. No consistent patterns were found for psychosocial factors in single-exposure linear regression models. In joint effects analyses, the SOM profile with high indoor air pollution, low SES, and high maternal depressive symptoms were associated with higher inflammation. Indoor air pollutants were consistently associated with increased inflammation in both individual and joint effects models, particularly in combination with low SES and maternal depressive symptoms. The trend for individual psychosocial factors was not as clear, with mainly null associations. As we have observed pro- and anti-inflammatory effects, future research should investigate joint effects of these exposures on inflammation and their health effects.

Preoperative DLco and FEV1 are correlated with postoperative pulmonary complications in patients after esophagectomy

Limited information is available regarding the association between preoperative lung function and postoperative pulmonary complications (PPCs) in patients with esophageal cancer who undergo esophagectomy. This is a retrospective cohort study. Patients were classified into low and high lung function groups by the cutoff of the lowest fifth quintile of forced expiratory volume in 1 s (FEV1) %predicted (%pred) and diffusing capacity of the carbon monoxide (DLco) %pred. The PPCs compromised of atelectasis requiring bronchoscopic intervention, pneumonia, and acute lung injury/acute respiratory distress syndrome. Modified multivariable-adjusted Poisson regression model using robust error variances and inverse probability treatment weighting (IPTW) were used to assess the relative risk (RR) for the PPCs. A joint effect model considered FEV1%pred and DLco %pred together for the estimation of RR for the PPCs. Of 810 patients with esophageal cancer who underwent esophagectomy, 159 (19.6%) developed PPCs. The adjusted RR for PPCs in the low FEV1 group relative to high FEV1 group was 1.48 (95% confidence interval [CI] = 1.09–2.00) and 1.98 (95% CI = 1.46–2.68) in the low DLco group relative to the high DLco group. A joint effect model showed adjusted RR of PPCs was highest in patients with low DLco and low FEV1 followed by low DLco and high FEV1, high DLco and low FEV1, and high DLco and high FEV1 (Reference). Results were consistent with the IPTW. Reduced preoperative lung function (FEV1 and DLco) is associated with post-esophagectomy PPCs. The risk was further strengthened when both values decreased together.

Reduction of haemoglobin is related to metal mixtures exposure in Chinese preschoolers: Joint effect models

Heavy metal exposure is a known risk factor for hematologic disorders in children, yet the impact of co-exposure to multiple metals remains underexplored. This cross-sectional study investigates the relationship between urinary levels of 23 metals and haemoglobin (Hb) in 1460 Chinese preschoolers. The concentrations of the 23 urinary metals were quantified using an inductively coupled plasma mass spectrometer, while Hb levels were assessed through finger prick blood samples. To evaluate the co-exposure effects, we employed three approaches: Generalized linear regression model, joint effect models including Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR). From the generalized linear regression and Quantile g-computation, urinary uranium, thallium, aluminium, iron and tungsten were correlated negatively with Hb, while urinary barium was correlated positively (all P < 0.05). Moreover, significant negative associations between metal mixtures exposure with Hb were identified in both Quantile g-computation [β (95% CI): -0.083 (-0.132, -0.033), P = 0.0012] and BKMR [90th percentile vs. 50th percentile β (95% CI): -0.238 (-0.368, -0.107), P < 0.001] with aluminium emerging as the primary contributor to this joint effect (weight in Quantile g-computation = 0.399, PIPs in BKMR = 0.896). These findings provide a potential explanation for environmental exposure to metals and Hb-related disease in preschoolers.

Effects of extreme temperature events on deaths and its interaction with air pollution

BackgroundBoth extreme temperature events (ETEs) and air pollution affected human health, and their effects were often not independent. Previous studies have provided limited information on the interactions between ETEs and air pollution. MethodsWe collected data on deaths (non-accidental, cardiovascular, and respiratory) in Zibo City along with daily air pollution and meteorological data from January 2015 to December 2019. Distributed lag non-linear model was used to explore the health effects of ETEs on deaths. Non-parametric binary response model, hierarchical model and joint effect model were used to further explore the interaction between ETEs and air pollution in different seasons. Meanwhile, subgroup analysis by gender and age (≥ 65 years old and < 65 years old) was conducted to identify the vulnerable population. ResultsETEs increased death risk, especially for cardiovascular and respiratory deaths. Heat waves had a stronger impact than cold spells. Cold spells had a longer lag and fluctuating trend. Heat waves had a short-term impact, followed by a decrease. Females and those aged ≥ 65 were more affected, but subgroup differences were not significant. During ETEs and non-ETEs, there were different effects on deaths with per IQR increase in air pollutant concentrations. Joint effect models revealed that there was a significant interaction between ETEs and air pollution on non-accidental deaths. The interaction between PM2.5 and cold spells was antagonistic in the cold season. In the warm season, the health effects of heat waves and high O3 concentration were enhanced. The relative excess risk due to interaction (RERI) of cold spells and PM2.5 in total population was −0.09 (95 % CI: −0.17, −0.01), and 9 % (95 % CI: 1 %, 17 %) of the total effect was attributable to interaction. Subgroup analysis confirmed the interactions in females and those aged ≥ 65. ConclusionsSignificant association observed between ETEs and deaths. Females and ≥ 65 age groups were vulnerable. There were interactions between ETEs and air pollution. The effect of PM2.5 on deaths decreased during cold spells, while the effect of O3 increased during heat waves. In addition to improving air quality, it is necessary to further strengthen the prevention and control of ETEs.

Childhood Adversity Determines the Syndemic Effects of Violence, Substance Misuse, and Sexual Behavior on Psychotic Spectrum Disorder Among Men.

Childhood adversity (CA) increases the risk for several adult psychiatric conditions. It is unclear why some exposed individuals experience psychotic symptoms and others do not. We investigated whether a syndemic explained a psychotic outcome determined by CA. We used self-reported cross-sectional data from 7461 British men surveyed in different population subgroups. Latent class analysis (LCA) identified categorical psychopathological outcomes. LCs were tested by interaction analysis between syndemic factors derived from confirmatory factor analysis according to CA experiences. Pathway analysis using partial least squares path modeling. A 4-class model with excellent fit identified an LC characterized by both psychotic and anxiety symptoms (class 4). A syndemic model of joint effects, adducing a 3-component latent variable of substance misuse (SM), high-risk sexual behavior (SH), violence and criminality (VC) showed synergy between components and explained the psychotic outcome (class 4). We found significant interactions between factor scores on the multiplicative scale, specific only to class 4 (psychosis), including SM × SH, SH × VC, and SM × VC (OR > 1, P < .05); and on the additive scale SM × SH (relative excess risk due to interaction >0, P < .05), but only for men who experienced CA. Multiplicative synergistic interactions between SM, SH, and VC constituted a mechanism determining a psychotic outcome, but not for anxiety disorder, mixed anxiety disorder/depression, or depressive disorder. This was specific to men who had experienced CA along direct and syndemic pathways. Population interventions should target SM and VC in adulthood but prioritize primary prevention strategies for CA.

Abstract 13953: A Genome-Wide European Ancestry Study Identifies Coronary Artery Disease-Associated Loci Through Gene-Sex Hormone Interaction

Background: Genome-wide association studies (GWAS) have improved our understanding of the genetic basis of coronary artery disease (CAD). While sex-differences in CAD have been observed, little is known about the role of sex hormones in CAD genetics. Accounting for sex hormone levels may help identify CAD-risk loci and extend our knowledge of its genetic architecture. Methods: We performed a GWAS to identify CAD risk loci by incorporating gene-sex hormone interactions in 365,662 individuals of European ancestry enrolled in the UK Biobank (UKB). Genetic interactions of total testosterone (TT), bioavailable testosterone (BAT) and sex-hormone binding globulin (SHBG) were evaluated. GEM software was used to conduct sex-stratified genome-wide interaction analysis with prevalent CAD. Enrollment age and principal components 1-10 were model covariates. The online post-GWAS tool FUMA was used to annotate the biological functions of marginal, interaction, and joint effects summary statistics. Results: We identified 64 loci in males and 8 loci in females that reached genome-wide significance (p &lt; 5х10 -8 ) for CAD ( Table 1 ). Among males, 3 significant loci were identified for BAT, one for TT and one for SHBG using joint effect model that did not overlap with those identified with marginal effect. Among females, 5 significant loci were identified, all for TT using joint effect that that did not overlap with those identified with marginal effect. Of these 5 loci, two loci were independently identified with significant SNP-TT interaction. These loci were mapped close to the TRDN and THADA genes that have been implicated in congenital ventricular tachycardia and polycystic ovarian syndrome, respectively. Conclusion: This Genome-wide gene-sex hormone interaction study identified genomic-risk loci that may contribute to the differential CAD risk between men and women, which would otherwise not have been discovered in traditional GWAS only including marginal genetic effect.

Enforcing Citizen Participation Through Litigation: Analyzing the Outcomes of Anti-Dam Movements in Brazil and Chile

ABSTRACTIn environmental politics, social movements play a crucial role, promoting participatory rights and confronting injustice, inequality, and the interests of the powerful. This article examines an underexplored topic in the literature on social movements, especially in Latin America: the use of litigation to force decisionmakers to comply with participatory formats, specifically in the course of opposition to hydroelectric dams. These projects often are destructive to the local environment and communities. This study examines four cases of environmental litigation that halted dam construction in Brazil and Chile, singling out causal pathways for successful collective action. It focuses on two dimensions of movement success: the implementation of participatory formats and the resulting cancellation of dam projects. In line with the joint effect model of social movement theory, the cross-case comparison of legal disputes shows that pursuing legal strategies in parallel to broad social mobilization and the support of institutional allies, can lead to successful outcomes.

Influences of genetically predicted and attained education on geographic mobility and their association with mortality

IntroductionBoth educational attainment and genetic propensity to education (PGSEdu) have been associated with geographic mobility. Socioeconomic conditions are, in turn, associated with individuals’ health. Geographic mobility could therefore lead to better health for some since it could provide better opportunities, like education. Our aim was to study how attained education and genetic predisposition for higher education are related to geographic mobility, and how they affect the association between geographic mobility and mortality. MethodsWe used data from the Swedish Twin Registry (twins born 1926–1955; n = 14,211) in logistic regression models to test if attained education and PGSEdu predicted geographic mobility. Cox regression models were then performed to test if geographic mobility, attained education, and PGSEdu were associated with mortality. ResultsThe results show that both attained education and PGSEdu predicted geographic mobility, in both independent and joint effect models, with higher education associated with higher mobility. Geographic mobility was associated with lower mortality in the independent effect model, but joint effect models showed that this association was completely explained by attained education. ConclusionsTo conclude, both attained education and PGSEdu were associated with geographic mobility. Moreover, attained education explained the relationship between geographic mobility and mortality.

Interactive effects of the low-carbohydrate diet score and genetic risk score on Hypo-HDL-cholesterolemia among Korean adults: A cross-sectional analysis from the Ansan and Ansung Study of the Korean Genome and Epidemiology Study.

This cross‐sectional study investigated the interaction between the genetic risk score (GRS) and abnormal high‐density lipoprotein (HDL) cholesterol lipid levels, which are modified by low‐carbohydrate diets (LCDs) and their effects on the prevalence of hypo‐HDL‐cholesterolemia (hypo‐HDL‐C) in Korean adults. Baseline data were obtained from the Ansan and Ansung study of the Korean Genome and Epidemiology Study (KoGES), conducted from 2001 to 2002, that targeted 8,314 Korean adults aged 40–69 years, including old men (47.6%) and women (52.4%), and whole genomic single nucleotide polymorphism (SNP) genotyping was performed. We identified 18 SNPs significantly associated with hypo‐HDL‐C in the proximity of several genes, including LPL, APOA5, LIPC, and CETP, and calculated the GRS. The low‐carbohydrate diet score (LCDS) was calculated on the basis of energy intake information from food frequency questionnaires. Furthermore, we performed multivariable‐adjusted logistic modeling to examine the odds ratio (OR) for hypo‐HDL‐C across tertiles of LCDS and GRS, adjusted for several covariates. Among participants in the highest GRS tertile, those in the highest tertile of the LCDS had a significantly lower risk of hypo‐HDL‐C (OR: 0.759, 95% CI (confidence interval): 0.625–0.923) than those in the lowest tertile of the LCDS. In the joint effect model, the group with the lowest GRS and highest LCDS was found to have the lowest risk of hypo‐HDL‐C prevalence. This study suggests that individuals with a high genetic risk for low HDL concentrations may have a beneficial effect on a lower intake of carbohydrates.

Clinical implications and molecular mechanisms of Cyclin-dependent kinases 4 for patients with hepatocellular carcinoma

BackgroundHepatocellular carcinoma (HCC) was frequently considered as a kind of malignant tumor with a poor prognosis. Cyclin-dependent kinases (CDK) 4 was considered to be cell-cycle-related CDK gene. In this study, we explored the clinical significance of CDK4 in HCC patients.MethodsData of HCC patients were obtained from The Cancer Genome Atlas database (TCGA) and the Gene Expression Omnibus (GEO) database. Kaplan–Meier analysis and Cox regression model were performed to calculate median survival time (MST) and the hazard ration (HR), respectively. The joint-effect analysis and prognostic risk score model were constructed to demonstrate significance of prognosis-related genes. The differential expression of prognostic genes was further validated using reverse transcription-quantitative PCR (RT-qPCR) of 58 pairs of HCC samples.ResultsCDK1 and CDK4 were considered prognostic genes in TCGA and GSE14520 cohort. The result of joint-effect model indicated patients in CDK1 and CDK4 low expression groups had a better prognosis in TCGA (adjusted HR = 0.491; adjusted P = 0.003) and GSE14520 cohort (adjusted HR = 0.431; adjusted P = 0.002). Regarding Kaplan–Meier analysis, high expression of CDK1 and CDK4 was related to poor prognosis in both the TCGA (P < 0.001 and = 0.001 for CDK1 and CDK4, respectively) and the GSE14520 cohort (P = 0.006 and = 0.033 for CDK1 and CDK4, respectively). However, only CDK4 (P = 0.042) was validated in RT-qPCR experiment, while CDK1 (P = 0.075) was not.ConclusionHCC patients with high CDK4 expression have poor prognosis, and CDK4 could be a potential candidate diagnostic biomarker for HCC.

Racial Disparity in the Surgical Management of Diverticular Disease.

Although minimally invasive surgery (MIS) has clearly been associated with improved colorectal surgery outcomes, not all populations benefit from this approach. Using a national database, we analyzed both, the trend in the utilization of MIS for diverticulitis and differences in utilization by race. Colon-targeted participant user files (PUFs) from 2012 to 18 were linked to respective PUFs in National Surgical Quality Improvement Project. Patients undergoing colectomy for acute diverticulitis or chronic diverticular disease were included. Surgical approach was stratified by race and year. To adjust for confounding and estimate the association of covariates with approach, data were fit using multivariable binary logistic regression main effects model. Using a joint effects model, we evaluated whether the odds of a particular approach over time was differentially affected by race. Of the 46 713 patients meeting inclusion criteria, 83% were white, with 7% black and 10% other. Over the study period, there was a decrease in the rate of open colectomy of about 5% P < .001, and increase in the rate of utilization of laparoscopic and robotic approaches (RC) P < .0001. After adjusting for confounders, black race was associated with open surgery P < .0001. There is disparity in the utilization of MIS for diverticulitis. Further research into the reasons for this disparity is critical to ensure known benefits of MIC are realized across all races.

The effects of socio-technical integration on sustainability practices: a supply chain perspective

PurposeThis study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and synergistic effects of social and technical integration on two main sustainability practices (i.e. sustainable production and sustainable sourcing). Supply chain uncertainty is further explored as a key environmental factor.Design/methodology/approachA moderated joint effects model was hypothesized. A sample of 759 manufacturing firms was used to test the proposed hypotheses by hierarchical linear regression.FindingsThe results show that both social and technical integration have positive effects on sustainable production and sustainable sourcing. Interestingly, social and technical integration have an enhancing synergistic effect on sustainable sourcing, which is further strengthened in high-uncertainty supply chains.Originality/valueThis study extends the application of STS theory in the SSCM setting. It enriches the sustainability literature by uncovering the impact of the interplay among the firm's social, technical and environmental systems on sustainable production and sourcing, and offers system-wide insights for sustainability management.

Exhaled volatile organic compounds and lung microbiome in COPD: a pilot randomised controlled trial.

BackgroundBreath analysis is a burgeoning field, with interest in volatile organic compounds (VOCs) as a noninvasive diagnostic tool or an outcome measure, but no randomised controlled trials (RCTs) have yet evaluated this technology in a clinical trial longitudinally. In a pilot RCT, our exploratory objectives were feasibility of measuring VOCs via multiple techniques, assessing relationships between VOCs and Haemophilus colonisation and whether CXCR2 antagonism with danirixin altered lung microbiome composition in individuals with COPD.Method43 participants had VOCs and sputum biomarkers evaluated. VOCs and induced sputum were collected after 6 h of fasting at screening and at days 1, 7 and 14. VOCs were analysed via gas chromatography mass spectrometry (GC-MS), field asymmetric ion mobility spectrometry (FAIMS) and eNose. The primary outcome for these analyses was the relationship between VOCs and Haemophilus abundance determined by 16S rRNA sequencing.ResultsA joint-effects model demonstrated a modest relationship between four exhaled VOCs and Haemophilus relative abundance (R2=0.55) measured only by GC-MS, but not as measured using gas chromtaography FAIMS or eNose. There was considerable variability in absolute quantities of individual VOCs longitudinally.ConclusionsVOC measurement in clinical trials to identify subsets of COPD is feasible, but assessment of new VOC technologies must include concurrent GC-MS validation. Further work to standardise collection of VOCs and measuring a background or “housekeeper” VOC is required to understand and normalise individual VOC quantities.

A syndemic of psychiatric morbidity, substance misuse, violence, and poor physical health among young Scottish men with reduced life expectancy

BackgroundScotland has the shortest life expectancy in Western Europe, driven by high rates of cancer, suicides, alcohol-related causes and drug-related poisonings. These disparities cannot be explained solely by socioeconomic deprivation. Our aim was to investigate whether a syndemic in a socioeconomically deprived area of Glasgow might account for premature mortality among men. MethodsWe analysed data from two cross-sectional population surveys: a national sample of 1916 British men and another of 765 men in Glasgow East. The survey included men aged 18–34, and was undertaken in 2011 to study correlates of violence. Questionnaires covered current physical health, psychiatric symptoms, substance misuse, and crime and violence. Syndemic components were identified using confirmatory factor analysis. Associations and synergistic interactions between these variables and health status were estimated using logistic regression. ResultsAn aggregation of multiple health conditions and health-related behaviours was found in Glasgow East. A syndemic model of joint effects, adducing a four-component latent variable (violence, substance dependence, psychiatric morbidity and a diathesis of biological/behavioural risk) showed synergy between components and explained persistent disparities in poor physical health/chronic health conditions. Effect modification was found between the general syndemic factor and contextual variables at individual and social environmental level according to location. ConclusionsSyndemic effects from synergistic interactions were confirmed between psychiatric morbidity, substance misuse, violence, and biological/behavioural risk for physical health. A hypothetical model was developed to explain how the syndemic leads to potentially life-threatening risks to young men, both currently and as precursors of physical health conditions which may shorten their lives in the future.

Disentangling Racial, Ethnic, and Socioeconomic Disparities in Treatment for Colorectal Cancer.

Colorectal cancer is curable if diagnosed early and treated properly. Black and Hispanic patients with colorectal cancer are more likely to experience treatment delays and/or receive lower standards of care. Socioeconomic deprivation may contribute to these disparities, but this has not been extensively quantified. We studied the interrelationship between patient race/ethnicity and neighborhood socioeconomic status (nSES) on receipt of timely appropriate treatment among patients with colorectal cancer in California. White, Black, and Hispanic patients (26,870) diagnosed with stage I-III colorectal cancer (2009-2013) in the California Cancer Registry were included. Logistic regression models were used to examine the association of race/ethnicity and nSES with three outcomes: undertreatment, >60-day treatment delay, and >90-day treatment delay. Joint effect models and mediation analysis were used to explore the interrelationships between race/ethnicity and nSES. Hispanics and Blacks were at increased risk for undertreatment [Black OR = 1.39; 95% confidence interval (CI) = 1.23-1.57; Hispanic OR = 1.17; 95% CI = 1.08-1.27] and treatment delay (Black/60-day OR = 1.78; 95% CI = 1.57-2.02; Hispanic/60-day OR = 1.50; 95% CI = 1.38-1.64) compared with Whites. Of the total effect (OR = 1.15; 95% CI = 1.07-1.24) of non-white race on undertreatment, 45.71% was explained by nSES. Lower nSES patients of any race were at substantially higher risk for undertreatment and treatment delay, and racial/ethnic disparities are reduced or eliminated among non-white patients living in the highest SES neighborhoods. Racial and ethnic disparities persisted after accounting for neighborhood socioeconomic status, and between the two, race/ethnicity explained a larger portion of the total effects. This research improves our understanding of how socioeconomic deprivation contributes to racial/ethnic disparities in colorectal cancer.

Ethnic disparities in psychotic experiences explained by area-level syndemic effects.

Ethnic inequalities in health outcomes are often explained by socioeconomic status and concentrated poverty. However, ethnic disparities in psychotic experiences are not completely attenuated by these factors. We investigated whether disparities are better explained by interactions between individual risk factors and place-based clustering of disadvantage, termed a syndemic. We performed a cross-sectional survey of 3750 UK men, aged 18-34 years, oversampling Black and minority ethnic (BME) men nationally, together with men residing in London Borough of Hackney. Participants completed questionnaires covering psychiatric symptoms, substance misuse, crime and violence, and risky sexual health behaviours. We included five psychotic experiences and a categorical measure of psychosis based on the Psychosis Screening Questionnaire. At national level, more Black men reported psychotic experiences but disparities disappeared following statistical adjustment for social position. However, large disparities for psychotic experiences in Hackney were not attenuated by adjustment for social factors in Black men (adjusted odds ratio, 3.24; 95% CI 2.14-4.91; P < 0.002), but were for South Asian men. A syndemic model of joint effects, adducing a four-component latent variable (psychotic experiences and anxiety, substance dependence, high-risk sexual behaviour and violence and criminality) showed synergy between components and explained persistent disparities in psychotic experiences. A further interaction confirmed area-level effects (Black ethnicity × Hackney residence, 0.834; P < 0.001). Syndemic effects result in higher rates of non-affective psychosis among BME persons in certain inner-urban settings. Further research should investigate how syndemics raise levels of psychotic experiences and related health conditions in Black men in specific places with multiple deprivations.

Modulation of brain tumor risk by genetic SNPs in PARP1gene: Hospital based case control study.

PARP-1 gene plays an essential part in base excision repair pathway and its functional variations result in several types of cancer. In this study we have explored the effect of genetic variations in PARP-1 gene in brain tumorigenesis. This case control study comprised of 500 brain tumor cases along with 500 healthy controls. Three polymorphisms of PARP-1 gene, rs1136410 (Val762Ala), rs1805404 (Asp81Asp) and rs1805414 (Ala284Ala) were analyzed using AS-PCR method followed by DNA sequencing. Joint effect model, haplotype analysis and linkage disequilibrium of these polymorphisms was assessed using Haploview 4.2. In rs1136410 (Val762Ala) heterozygous mutant genotype (CT) was observed notably lower (OR: 0.44., 95% CI: 0.33–0.57., p<0.0001) in brain tumor patients compared to controls and ~2 fold increased frequency of homozygous mutant genotype (CC) was observed in brain tumor patients versus controls (OR: 1.51., 95%CI: 1.16–1.96, p = 0.001). In rs1805414 (Ala284Ala), frequency of heterozygous mutant genotype (CT) was observed lower (OR: 0.77., 95% CI: 0.60–0.99., p = 0.05) in patients versus controls. In rs1805404 (Asp81Asp), heterozygous mutant genotyping (CT) was observed lower in brain tumor patients compared with the healthy controls (OR: 0.63., 95% CI: 0.48–0.83., p = 0.001). However, homozygous mutant genotype (TT) was observed increased in patients compared to controls (OR: 1.41., 95% CI:1.07–1.85., p = 0.01). We assessed the fact that in combination the PARP-1 gene SNPs, rs1136410 (Val762Ala), rs1805414 (Ala284Ala) and rs1805404 (Asp81Asp) may increase the brain pathogenesis at least in Pakistani population.

A test of the main-effects, stress-buffering, stress-exacerbation, and joint-effects models among Mexican-origin adults.

A test of the main-effects, stress-buffering, stress-exacerbation, and joint-effects models among Mexican-origin adults.

Sitting time and depression in young women over 12-years: The effect of physical activity

ObjectivesLack of physical activity (PA) and prolonged sitting time (ST) are associated with increased risk of mortality and chronic illnesses, including depression. While there have been claims that the two risks are ‘independent’, their joint and stratified effects are unclear. The aim of this study was to explore the combined effects of physical activity and sitting time on the 12year risk of depressive symptoms (DS) in young women. DesignCohort-9061 young participants in the Australian Longitudinal Study on Women’s Health completed triennial surveys from 2000 (age 22–27), to 2012. MethodsGeneralised Estimating Equation models were used to calculate the joint effects of PA and ST on DS, with <4h/day of ST and the highest PA quartile as the reference categories. Relationships between PA and DS, and between ST and DS, were also examined after stratification by ST and PA respectively. ResultsIn the adjusted joint effects model, compared with the reference category (low sitting, high PA), odds for DS were significantly higher in women who sat for >4, 6 and 8h/day and reported doing no PA. In every physical activity category, women who sat for ≥10h/day were at highest risk of DS (OR for lowest physical activity quartile, 1.72 [95% CI=1.38–2.14]; OR for highest physical activity quartile, 1.49 [95% CI=1.16–1.91]). After stratification by ST, odds of DS were reduced in women who reported any physical activity (compared with none), except when ST was >10h/day. After stratification by physical activity, the increased risk of sitting 8–10h/day was attenuated by any physical activity, but there was no reduction in risk of depressive symptoms with increasing PA levels in women who sat for ≥10h per day. ConclusionsThese data suggest that there are both joint and stratified effects of too little activity and too much sitting on the risk of depressive symptoms in young women. High levels of PA are protective against the hazards of high ST at this life stage, except in women with very high levels of sitting.

Family Separation and Maternal Self-rated Health: Evidence from a Prospective Cohort of Marginalized Mothers in a Canadian Setting.

Involuntary child removal via the child protection system disproportionately affects marginalized women, yet the impacts on maternal health are under-investigated. This study prospectively examined the association of child removal with self-rated health of mothers who are sex workers. Given high levels of intergenerational family separation in this population, particularly among Indigenous sex workers, we also estimated joint effects of child removal spanning two generations. Analyses drew on 2010-2015 data from AESHA (An Evaluation of Sex Workers' Health Access), a prospective cohort of sex workers (n = 950) in Vancouver, Canada. Using logistic regression with generalized estimating equations, we modeled the association of past child removal and current self-rated health in a sample of 466 sex workers who ever had a live birth. Joint effects of child removal and history of removal from own parents were also investigated. Of 466 sex workers, 180 (38.6%) reported child removal at baseline and 147 (31.6%) had a history of removal from own parents. In main effects model, child removal was associated with increased odds of poorer self-rated health [odds ratio (OR) 1.50, 95% confidence interval (CI) 1.04, 2.16]. Joint effects model showed higher odds of poorer self-rated health (OR2.04, 95% CI1.27, 3.27) among women with intergenerational family separation. Child removal was negatively associated with sex workers' health that was worsened when family separation spanned two generations. Findings underscore need to develop sex worker and Indigenous-led family support services, along with tailored interventions to address health needs of those separated from their children.