Positive Association Research Articles

Difference in right and left cardio-ankle vascular index as a useful marker for evaluation of leg ischemia in patients with lower extremity arterial disease.

Cardio-ankle vascular index (CAVI) is a blood pressure-independent measure of heart-ankle pulse wave velocity and is used as an indicator of arterial stiffness. However, there is a paradox that CAVI is inversely associated with leg ischemia in patients with lower extremity arterial disease (LEAD). The aim of this study was to clarify the significance of the absolute value of left and right difference in CAVI (diff-CAVI). The subjects were 165 patients with LEAD who had received medication therapy. Relationships between diff-CAVI and leg ischemia were investigated. Leg ischemia was evaluated by decrease in leg arterial flow using ankle-brachial index (ABI) and by symptoms using the Rutherford classification. There was a significant inverse correlation between diff-CAVI and ABI. The odds ratio for low ABI of the 3rd versus 1st tertile groups of diff-CAVI was 7.03 with a 95% confidence interval of 2.71 ∼ 18.22. In ROC analysis, the cutoff value of diff-CAVI for low ABI was 1.05 with a sensitivity of 61.1% and a specificity of 87.1%. The median of diff-CAVI was significantly higher in subjects with grade 2 of the Rutherford classification than in subjects with its grade 1. diff-CAVI showed an inverse association with ABI and a positive association with symptoms of leg ischemia. Thus, diff-CAVI is thought to be a useful indicator of leg ischemia in LEAD patients.

Using mobile phone data to capture residential segregation and its association with travel mobility

AbstractThis study measures residential segregation and investigates its association with travel mobility by using mobile phone data from Shenzhen, China. It considers residential segregation in terms of income level and migrant group; and travel mobility in terms of travel frequency, activity space, and travel distance. Unlike previous research on residential segregation and travel mobility, our research uses mobile phone data to produce empirical evidence. The extent of segregation between different migrant and income‐level groups is measured using the location quotient and Getis‐Ord index. This enables us to develop a linear regression model with which to investigate the associations of residential segregation with travel mobility. The study results show that the segregation of middle‐ and low‐income groups and migrants from Southwestern China and Jiangxi is negatively associated with travel mobility among those in the suburbs; meanwhile, for groups segregated in the city center, there is a positive association with travel mobility. These findings suggest that residential segregation is especially adverse for the travel mobility of disadvantaged groups and those living in the suburbs. Accordingly, the paper presents policy recommendations that would enhance travel mobility by alleviating the problems associated with the residential segregation of socially disadvantaged groups living in the suburbs.

Research on the risk effects of accounting information disclosure

Drawing upon accounting-based asset pricing model and insights from theories of information asymmetry and cognitive psychology, this study investigates the risk implications of accounting information disclosure from dual perspectives: firm-specific risk and market risk. Our findings reveal a positive association between earnings management and both firm-specific and market risk effects of accounting information, underscoring the presence of post-disclosure risk effects. Heterogeneity analysis further uncovers the moderating roles of factors such as accounting firm size, company tenure, and regional economic growth in firm-specific risk effects, while corporate governance structures influence market risk effects. This study enriches the theoretical literature on accounting information and risk effects.

Correlation between Alzheimer's Disease and Gastrointestinal Tract Disorders.

Alzheimer's disease is the most common cause of dementia globally. The pathogenesis is multifactorial and includes deposition of amyloid-β in the central nervous system, presence of intraneuronal neurofibrillary tangles and a decreased amount of synapses. It remains uncertain what causes the progression of the disease. Nowadays, it is suggested that the brain is connected to the gastrointestinal tract, especially the enteric nervous system and gut microbiome. Studies have found a positive association between AD and gastrointestinal diseases such as periodontitis, Helicobacter pylori infection, inflammatory bowel disease and microbiome disorders. H. pylori and its metabolites can enter the CNS via the oropharyngeal olfactory pathway and may predispose to the onset and progression of AD. Periodontitis may cause systemic inflammation of low severity with high levels of pro-inflammatory cytokines and neutrophils. Moreover, lipopolysaccharide from oral bacteria accompanies beta-amyloid in plaques that form in the brain. Increased intestinal permeability in IBS leads to neuronal inflammation from transference. Chronic inflammation may lead to beta-amyloid plaque formation in the intestinal tract that spreads to the brain via the vagus nerve. The microbiome plays an important role in many bodily functions, such as nutrient absorption and vitamin production, but it is also an important factor in the development of many diseases, including Alzheimer's disease. Both the quantity and diversity of the microbiome change significantly in patients with AD and even in people in the preclinical stage of the disease, when symptoms are not yet present. The microbiome influences the functioning of the central nervous system through, among other things, the microbiota-gut-brain axis. Given the involvement of the microbiome in the pathogenesis of AD, antibiotic therapy, probiotics and prebiotics, and faecal transplantation are being considered as possible therapeutic options.

Association between maternal physical activity from pre-pregnancy to child-rearing and their children's physical activity in early childhood among Japanese.

This study aimed to determine the association between cumulative maternal physical activity level and their children's physical activity in early childhood. We also compared the influence of each maternal physical activity on children's physical activity in early childhood. We analyzed the data from 1,067 Japanese mother-child pairs. Maternal physical activity was assessed using the International Physical Activity Questionnaire. Cumulative physical activity level in mothers was computed based on the categories (low, moderate, and high) of physical activity from 5 time points (pre-pregnancy, during pregnancy, 1.5, 3.5, and 5.5 years postpartum). Children's physical activity level was measured at age 5.5 years using the WHO Health Behaviour School-aged Children questionnaire and defined as engaging in physical activity for at least 60 minutes per day for more than 5 days. Logistic regression analysis was used to determine the association between maternal and children's physical activity levels. The results showed the positive association between cumulative maternal physical activity and children's physical activity level (P for trend < 0.001). Furthermore, maternal physical activity during pregnancy (P for trend = 0.031) and 5.5 years postpartum (P for trend < 0.001) was positively associated with children's physical activity. A positive association was observed between the cumulative maternal physical activity level and the physical activity level of their children at 5.5 years of age. Furthermore, maternal physical activity during pregnancy and at 5.5 years postpartum were positively associated with the level of children's physical activity.

Relationship of triglyceride-glucose index to gallstone prevalence and age at first gallstone surgery in American adults

The triglyceride-glucose (TyG) index is a novel marker of insulin resistance that has been strongly associated with many diseases related to metabolic disorders, such as diabetes, coronary heart disease, myocardial infarction, obesity, nonalcoholic fatty liver disease, and stroke. However, whether the TyG index is associated with the prevalence of gallstones has not been determined. Therefore, the purpose of this study was to evaluate the relationship between the TyG index and the prevalence of gallstones in American adults, as well as the age at which adults in America undergo their first gallstone surgery. We selected individuals from the National Health and Nutrition Examination Survey (NHANES) database from 2017 to March 2020. Based on the goal of our study, comprehensive inclusion and exclusion criteria were created. A logistic regression analysis, dose–response curve, and subgroup analysis were computed to assess the relationship between the TyG index and gallstone prevalence and age at first surgery for gallstone. A total of 3905 participants aged > 20 years were included in our study, of whom 421 had a self-reported history of gallstones. A total of 1884 (48.2%) males and 2021 (51.8%) females were included. After confounders adjustment, it was found single-unit increases in the TyG index were linked with a 25.0% increase in gallstone prevalence (odds ratio [OR] = 1.25, 95% confidence interval [95%CI]: 1.04, 1.51). After conversion of the TyG index values from continuous to categorical variables with tertiles, a marked 48% increase in gallstone incidence was found in tertile 3 relative to tertile 1 (OR = 1.48, 95% CI: 1.09, 1.99). The dose–response curve results indicated positive associations between gallstone prevalence and the TyG index, while the latter was negatively associated with age at first gallstone surgery. Based on subgroup analysis, the positive association between TyG index and high-incidence of gallstones was more significant in females (OR = 1.39, 95% CI: 1.09, 1.77), age < 40 years (OR = 2.02, 95% CI: 1.23, 3.29), and other race (OR = 1.46, 95% CI: 1.06, 2.02). A higher TyG index is associated with a higher incidence of gallstones and may lead to an earlier age of first gallstone surgery. However, a causal relationship between TyG and gallstones cannot be established.

Patients’ perceptions matter: Risk communication and psychosocial factors in orthodontics

Effective risk communication is essential for achieving patient-centered oral health care, but the limited understanding of patients' subjective perceptions of orthodontic-related risks hinders this process. This study aimed to investigate adults' awareness, concerns, and risk-avoidance behaviors about long-term orthodontic risks, exploring their relationship with psychosocial factors. We included 498 adult patients (mean age, 27.3 ± 6.8 years; women, 75.5%) during their initial visits to the orthodontic department at a hospital in Chengdu, China. Participants' understanding of orthodontic risks was gauged before and after exposure to the Oral Health Education Comics (OHEC), a specifically designed digital tool. Concurrently, we used logistic regression models to investigate the associations between patients' depression, anxiety, self-esteem, perfectionism, and dentofacial esthetics with risk perceptions. Approximately 79.5% of participants initially reported low awareness of orthodontic risks, with most knowledge from online sources. Notably, the percentage of participants with high awareness increased to 64.8% after OHEC. The negative facial soft-tissue change was most concerning for participants: 53.4% showed high concerns, and 28.1% showed high avoidance. Furthermore, linear regression indicated positive associations between depression (β= 0.42 [95% confidence interval {CI}, 0.07-0.77]) and anxiety (β= 0.76 [95% CI, 0.35-1.18]) with orthodontic risk concerns, whereas risk avoidance was positively associated with depression (β= 0.62 [95% CI, 0.27-0.97]), anxiety (β= 1.09 [95% CI, 0.68-1.50]), and perfectionism (β= 0.24 [95% CI, 0.02-0.46]). Findings emphasize the imperative of streamlined risk communication in orthodontics. By incorporating comprehensible tools such as OHEC and integrating psychosocial evaluations, more refined patient-practitioner communication and psychosomatic-based dental care can be achieved.

The impact and mechanism analysis of Clean Development Mechanism on the synergistic effects of pollution mitigation and carbon reduction

The establishment of the Clean Development Mechanism (CDM) has greatly improved China's carbon emission trading system. However, due to the unbalanced development of CDM in China, the effects and mechanism of CDM on reducing pollution and carbon are still unclear. In order to explore the effects and mechanism of CDM on the synergistic effects of pollution mitigation and carbon reduction, we first set up a theoretical analysis framework. Utilizing panel data from 254 prefecture-level cities across China spanning from 2004 to 2021, we employ a synergy degree model of composite system to evaluate the synergistic effects of pollution mitigation and carbon reduction. By treating CDM as a quasi-natural experimental research subject, we construct a multi-period difference-in-difference model to assess the CDM projects' effects. Our findings indicate a positive association between CDM projects and the synergistic effects of pollution mitigation and carbon reduction. Heterogeneity analysis reveals that CDM projects located in the western region, areas with lower levels of economic development, non-resource cities, non-old industrial bases, and projects with Certified Emission Reductions issued exhibit the most pronounced synergistic effects. Specially, dynamic policy effect analysis shows that only non-resource cities and non-old industrial bases exhibit enhanced policy implementation regarding CDM. Mechanism analysis demonstrates that CDM primarily enhances synergistic effects through improved energy efficiency, technological innovation and energy transition. These findings enrich empirical investigations concerning market-driven emission reduction policy in China, shedding light on pivotal pathways for synergistic control of pollution mitigation and carbon reduction and offering valuable policy insights for comprehensive economic and social green transformation in China.

Spatial Big Data Analytics of Inequity in Access to Live Music Among Disadvantaged Populations

In recent years, music cities around the world have developed various supportive policy frameworks ensuring live music is accessible to large populations. The question of whether live music is equitably distributed by socioeconomic status remains unanswered, however. This study investigated the accessibility of music events in socially and economically disadvantaged communities. The level of accessible concerts varies substantially across U.S. counties, revealing significant inequity in access to concerts. Almost 80 percent of concerts are located in 5 percent of counties. Ordinary least squares (OLS) regression, geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR) methods were then employed to explore associations between accessible concerts and the socioeconomic characteristics of communities where these concerts are located. The regression models revealed that areas with a higher proportion of residents without a high school degree, higher unemployment rate, and higher poverty rate were less likely to have access to concerts, yet positive associations were found between accessible concerts and mean household income. Local R 2 values further confirmed the robustness of regression results of both GWR and MGWR and showed significant spatial nonstationarity of model performance. GWR and MGWR methods improved model performance significantly over the OLS method and proved how local conditions influence the OLS regression. The results from this study can guide decision makers and stakeholders in making appropriate policies to achieve equitable access to music events, especially for disadvantaged communities.

Exploring the Relationship Between Peer Pressure and Frustration in Adults

Peer pressure can be defined as the social influence that peers exert on an individual, compelling them to adopt certain behaviours, attitudes, or values to fit in or gain acceptance within a group. The influence can take many different forms, like pushing conformity, influencing the adoption of beliefs or ways of behaving, or persuading someone to do things they might not have otherwise chosen to do. This paper examines the complex interactions that individuals encounter in a range of social circumstances between peer pressure and frustration. A substantial positive association between frustration and perceived peer pressure was found through quantitative research. The findings suggest that there is a strong moderate correlation between peer pressure and frustration (r=0.348, p&lt;0.001), indicating a significant relationship between the two variables. Additionally, research findings revealed the many ways in which peer pressure fuels frustration, such as perceived expectations, fear of rejection, and social comparison. To address the detrimental effects of peer pressure on individual well-being, specific interventions are required, as the study highlights the widespread influence of peers on adult behaviour and emotional experiences.

Tweeting environmental pollution: Analyzing twitter language to uncover its correlation with county-level obesity rates in the United States

BackgroundEnvironmental pollution has been linked to obesogenic tendencies. Using environmental-related posts from Twitter (now known as X) from U.S. counties, we aim to uncover the association between Twitter linguistic data and U.S. county-level obesity rates. MethodsAnalyzing nearly 300 thousand tweets from January 2020 to December 2020 across 207 U.S. counties, using an innovative Differential Language Analysis technique and drawing county-level obesity data from the 2020 Food Environment Atlas to identify distinct linguistic features in Twitter relating to environmental-related posts correlated with socioeconomic status (SES) index indicators, obesity rates, and obesity rates controlled for SES index indicators. We also employed predictive modeling to estimate Twitter language's predictive capacity for obesity rates. ResultsResults revealed a negative correlation between environmental-related tweets and obesity rates, both before and after adjusting for SES. Contrarily, non-environmental-related tweets showed a positive association with higher county-level obesity rates, indicating that individuals living in counties with lower obesity rates tend to tweet environmental-related language more frequently than those living in counties with higher obesity rates. The findings suggest that linguistic patterns and expressions employed in discussing environmental-related themes on Twitter can offer unique insights into the prevailing cross-sectional patterns of obesity rates. ConclusionsAlthough Twitter users are a subset of the general population, incorporating environmental-related tweets and county-level obesity rates and using a novel language analysis technique make this study unique. Our results indicated that Twitter users engaging in more active dialog about environmental concerns might exhibit healthier lifestyle practices, contributing to reduced obesity rates.

Expose to volatile organic compounds is associated with increased risk of depression: A cross-sectional study

With increasing prevalence rate of depression by years, more attention has been paid to the influence of environmental pollutants on depression, but relationship between exposure to volatile organic compounds (VOCs) and depression is rarely studied. Therefore, this cross-sectional study use the National Center for Health Statistics (NHANES) database (2013–2016 years) to explore association between exposure to multiple VOCs and depression in general population. Multiple linear and logistic regression models were used to analyze the association between urinary VOC metabolism (mVOCs) and depression. To further analyze effect of multiple mVOCs mixed exposure, Bayesian kernel machine regression (BKMR) models were performed. A total of 3240 participants and 16 mVOCs were included in the analysis. Results showed that 10 mVOCs exposure were positively correlated with depression by multiple linear and logistic regression models, especially CYMA and MHBMA3, which also showed significant positive association with depression in BKMR model. Mixed exposure of multiple mVOCs was significantly positively correlated with depression. Gender differences were existed in effects of some VOCs concentrations on depression. AAMA, CYMA and MA had significant positive correlations with depression by women, and DHBMA had significant positive correlations with depression by men. Hence, this study showed that exposing to VOCs might have negative impacts on depression, and impact of CYMA and MHBMA3 on depression may be more evident, which provide new ideas for prevention and control of depression. But further research and exploration are needed to clarify the mechanism and influence factors of this relationship, to demonstrate the reliability of these relationship.

Decision Regret and Decision-Making Process among Caregivers of Older Adults Receiving Home Care: A Cross-Sectional Study

ObjectivesFamily caregivers of older adults receiving home care often find themselves in situations in which they must make important and difficult decisions, which can cause conflict and regret. To tailor shared decision making in this context, we aimed to identify the most difficult decisions they faced, assess their levels of decision regret, and explore the associated factors. DesignThis study used a cross-sectional design. Setting and ParticipantsParticipants included 165 caregivers of older adults who received home care services in Korea. MethodsWe identified difficult decisions perceived by family caregivers of older adults and evaluated decision regret using the Decision Regret Scale (DRS), decisional conflict using the Decisional Conflict Scale (DCS), burden of care using the Short Zarit Burden Inventory, and Preference Control Scale (PCS). We then performed descriptive, bivariate, and multivariate linear regression analyses to identify factors predicting decision regret. ResultsThe most frequently reported difficult decisions were related to place of living (71.6%), management of health conditions (15.1%), and end-of-life decisions (13.3%). The mean DCS score was 37.09 (12.67), the DRS score was 32.33 (15.91), and the burden score was 21.81 (8.25). Matching decisions with preferences and aligning decision-making roles significantly reduced regret, while decision conflicts increased regret. Conclusions and ImplicationsThe positive associations between decision regret, decision conflict, and the alignment of decision-making roles highlight the intricate dynamics involved in the decision-making process for family caregivers. These findings emphasize the need for tailored interventions that recognize and address the diverse factors influencing caregivers’ decision-making experiences. Future research exploring the efficacy of targeted interventions such as decision-support programs or caregiver education initiatives could offer valuable insights into mitigating decision-related challenges and improving the overall well-being of both caregivers and care recipients.

The Association between Body Composition and the Parameters of Muscle Fitness in Selected Young Judokas

This study aimed to determine the influence of body composition on the muscle fitness of selected judokas. This study was conducted on a sample of 23 judokas (cadets n = 12, juniors n = 11), members of the male national team of Serbia. The assessment of body composition was performed using the InBody 720 (Biospace Co., Ltd., Seoul, Republic of Korea) and calipers. Muscle fitness was assessed using “Optojump” (Microgate, Bolzano, Italy), Fitrodine Premium (Fitronic, Bratislava, Slovakia), and a digital force instrument IMADA Z2H-1100 (Imada Inc., Northbrook, IL, USA). Regression analysis revealed a notable association between muscle mass and measures of explosive strength (countermovement jump (CMJ) p = 0.023; drop jump (DJ) p = 0.026). Moreover, this study’s results showed that back extension (p = 0.006; R2 = 0.61) and hand grip (p = 0.009; R2 = 0.52) provide a strong positive association with muscle mass. The findings suggest that tailored training and nutritional strategies that improve muscle mass might significantly enhance muscle fitness in young judokas, optimizing their performance.

Selenium intake is an effective strategy for the improvement of cognitive decline in low cognition older Americans

Age-related cognitive decline is a prominent concern in older adults and selenium (Se) deficiency has been found to be associated with cognitive deficits. For the first time, the present study explored the association between Se intake and cognitive performance in older people with/without cognitive impairment using the data from the National Health and Nutrition Examination Survey 2011–2014. Weighted linear regression models were conducted to evaluate the association between dietary Se/total Se intakes and cognitive assessments. A total of 2387 participants were included. The significant positive association between dietary Se/total Se intakes and total scores of cognitive functioning tests existed only in the older people with low cognitive performance (p < 0.001), not in those with normal cognitive performance. In conclusion, Se intake was beneficial for cognitive decline only in the low cognition older people but failed in normal cognition older people.

Examining the impact of polyfluoroalkyl substance exposure on erythrocyte profiles and its related nutrients: Insights from a prospective study on young Taiwanese

Per- and polyfluoroalkyl substances (PFAS) constitute a group of synthetic chemicals extensively utilized across various commonplace products. PFAS are known to have various toxic effects on human health. The relationship between PFAS exposure and erythrocytes has been a subject of interest in epidemiological research, but so far, only limited cross-sectional studies have investigated. Additionally, the role of erythrocyte related nutrition indicators on PFAS-induced changes in erythrograms has not been explored. To fill these knowledge gaps, we launched a longitudinal study over a decade, tracking 502 adolescents and young adults aged 12 to 30 from the YOung TAiwanese Cohort (YOTA). Our analysis encompassed 11 types of plasma PFAS, as well as erythrograms and serum levels of ferritin, transferrin saturation, vitamin B12, and folate. Our examination unveiled positive associations between specific average levels of PFAS compounds, including linear perfluorooctanoic acid (PFOA), branched perfluorooctane sulfonic acid (PFOS), perfluorononanoic acid (PFNA), and perfluorohexane sulfonic acid (PFHxS), and transferrin saturation. Furthermore, linear PFOA and both linear and branched PFOS were negatively correlated with vitamin B12 levels. Specifically, we observed that the average linear PFOA demonstrated positive correlations with mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH), while average PFNA also exhibited positive associations with hemoglobin (Hb) and hematocrit (Hct) in a multiple linear regression model. Subsequent analysis revealed noteworthy interactions between vitamin B12 and PFNA, as well as folate and PFNA, in the context of their impact on Hb, Hct, and PFNA relationships. Additionally, an interaction with transferrin saturation was identified in the correlation between Hct and PFNA. These findings suggest a plausible link between PFAS exposure and erythrograms among young populations, underscoring the potential involvement of iron status, vitamin B12, and folate in this association. Further studies are imperative to elucidate the precise effects of PFAS on erythrocyte in human subjects.

Is high exposure to antisocial media content associated with increased participation in malicious online trolling? exploring the moderated mediation model of hostile attribution bias and empathy

Malicious online trolling is prevalent among Chinese college students and has recently garnered extensive attention from researchers due to the substantial harm it causes to the victims and the damage it inflicts on the online environment. Most previous studies have focused on examining how personal traits related to malicious online trolling. Further comprehensive research is needed to explore the mechanisms linking external environmental factors (antisocial media exposure) and malicious online trolling. A total of 1259 Chinese college students completed questionnaires regarding malicious online trolling, antisocial media exposure, hostile attribution bias, and empathy. The results indicated a positive association between antisocial media exposure and malicious online trolling among Chinese college students, with hostile attribution bias serving as a mediating factor. Furthermore, the direct and mediated paths between antisocial media exposure and malicious online trolling were moderated by empathy. Specifically, as the level of empathy increased among college students, the relations between the variables all weakened. Excessive exposure to antisocial media content among college students may trigger hostile attribution bias and lead to more malicious online trolling behavior. However, the relation between antisocial media exposure and malicious online trolling, hostile attribution bias and malicious online trolling, was attenuated when college students’ empathy levels were high.

N100 as a response prediction biomarker for accelerated 1 Hz right DLPFC-rTMS in major depression

Background and objectiveRepetitive transcranial magnetic stimulation (rTMS) is a safe and effective treatment for major depressive disorder (MDD); however, this treatment currently lacks reliable biomarkers of treatment response. TMS-evoked potentials (TEPs), measured using TMS-electroencephalography (TMS-EEG), have been suggested as potential biomarker candidates, with the N100 peak being one of the most promising. This study investigated the association between baseline N100 amplitude and 1 Hz right dorsolateral prefrontal cortex (R-DLPFC) accelerated rTMS (arTMS) treatment in MDD. MethodsBaseline TMS-EEG sessions were performed for 23 MDD patients. All patients then underwent 40 sessions of 1 Hz R-DLPFC (F4) arTMS over 5 days and a follow-up TMS-EEG session one week after the end of theses arTMS sessions. ResultsBaseline N100 amplitude at F4 showed a strong positive association (p < .001) with treatment outcome. The association between the change in N100 amplitude (baseline to follow-up) and treatment outcome did not remain significant after Bonferroni correction (p = .06, corrected; p = .03, uncorrected). Furthermore, treatment responders had a significantly larger mean baseline F4 TEP amplitude during the N100 time frame compared to non-responders (p < .001). Topographically, after Bonferroni correction, F4 is the only electrode at which its baseline N100 amplitude showed a significant positive association (p < .001) with treatment outcome. LimitationsLack of control group and auditory masking. ConclusionBaseline N100 amplitude showed a strong association with treatment outcome and thus demonstrated great potential to be utilized as a cost-effective and widely adoptable biomarker of rTMS treatment in MDD.

Association between United States Environmental Contaminants and the Prevalence of Psoriasis Derived from the National Health and Nutrition Examination Survey.

(1) Background: Prolonged coexposure to environmental contaminants is reportedly associated with adverse impacts on skin health. However, the collective effects of contaminant mixtures on psoriasis prevalence remain unclear. (2) Methods: A nationally representative cohort study was conducted using data from the National Health and Nutrition Examination Survey 2003-2006 and 2009-2014. The association between contaminant exposures and psoriasis prevalence was analyzed through weighted quantile sum regressions, restricted cubic splines, and multivariable logistic regression. (3) Results: 16,453 participants and 60 contaminants in 8 groups were involved. After adjusting for demographics and comorbidities, exposure to urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.10, 95% CI: 1.00-1.21) demonstrated a significant positive linear association with psoriasis prevalence. Ethyl paraben (OR: 1.21, 95% CI: 1.02-1.44) exhibited a significant positive correlation with psoriasis risk as an individual contaminant. The association between blood cadmium, lead, and mercury mixtures (OR: 1.10, 95% CI: 1.00-1.21), urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.16, 95% CI: 1.00-1.34), and psoriasis prevalence was more pronounced in the lower healthy lifestyle score subgroup. (4) Conclusions: Exposure to perchlorate, nitrate, and thiocyanate mixtures, and ethyl paraben was associated with an elevated psoriasis prevalence. Furthermore, the association between cadmium and lead and mercury mixtures as well as perchlorate, nitrate and thiocyanate mixtures, and psoriasis prevalence was more pronounced in individuals with less healthy lifestyles.

Genetic distance and ancestry proportion modify the association between maternal genetic risk score of type 2 diabetes and fetal growth

BackgroundMaternal genetic risk of type 2 diabetes (T2D) has been associated with fetal growth, but the influence of genetic ancestry is not yet fully understood. We aimed to investigate the influence of genetic distance (GD) and genetic ancestry proportion (GAP) on the association of maternal genetic risk score of T2D (GRST2D) with fetal weight and birthweight.MethodsMulti-ancestral pregnant women (n = 1,837) from the NICHD Fetal Growth Studies – Singletons cohort were included in the current analyses. Fetal weight (in grams, g) was estimated from ultrasound measurements of fetal biometry, and birthweight (g) was measured at delivery. GRST2D was calculated using T2D-associated variants identified in the latest trans-ancestral genome-wide association study and was categorized into quartiles. GD and GAP were estimated using genotype data of four reference populations. GD was categorized into closest, middle, and farthest tertiles, and GAP was categorized as highest, medium, and lowest. Linear regression analyses were performed to test the association of GRST2D with fetal weight and birthweight, adjusted for covariates, in each GD and GAP category.ResultsAmong women with the closest GD from African and Amerindigenous ancestries, the fourth and third GRST2D quartile was significantly associated with 5.18 to 7.48 g (weeks 17–20) and 6.83 to 25.44 g (weeks 19–27) larger fetal weight compared to the first quartile, respectively. Among women with middle GD from European ancestry, the fourth GRST2D quartile was significantly associated with 5.73 to 21.21 g (weeks 18–26) larger fetal weight. Furthermore, among women with middle GD from European and African ancestries, the fourth and second GRST2D quartiles were significantly associated with 117.04 g (95% CI = 23.88–210.20, p = 0.014) and 95.05 g (95% CI = 4.73–185.36, p = 0.039) larger birthweight compared to the first quartile, respectively. The absence of significant association among women with the closest GD from East Asian ancestry was complemented by a positive significant association among women with the highest East Asian GAP.ConclusionsThe association between maternal GRST2D and fetal growth began in early-second trimester and was influenced by GD and GAP. The results suggest the use of genetic GD and GAP could improve the generalizability of GRS.