Excess Relative Risk Research Articles

Sleep patterns, physical activity, genetic susceptibility, and incident rheumatoid arthritis: a prospective cohort study

BackgroundSleep and physical activity (PA) are thought to be interconnected with the development of rheumatoid arthritis (RA). However, the precise nature and extent of these relationships have yet to be fully quantified. This study aimed to quantify the longitudinal effects of sleep behaviors, PA, and genetic susceptibility on the incidence of RA and to estimate the combined effects and interactions among these exposures.MethodsA total of 363,211 adults were derived from a large European cohort. We incorporated five sleep behaviors (sleep duration, insomnia, snoring, chronotype, and daytime sleepiness) to generate sleep patterns, which were defined based on healthy sleep scores. Multivariate-adjusted Cox proportional hazard models were conducted to assess the individual and combined associations of sleep patterns, PA, and genetic susceptibility with the risk of RA occurrence. Multiplicative and additive interactions were estimated by Pinteraction and relative excess risk due to interaction (RERI) between each of the two exposures.ResultsDuring a follow-up of 12.5 years, 4262 RA cases were ascertained. A healthy sleep pattern was associated with a decreased risk of RA in a dose-response manner, with an adjusted hazard ratio (HR) of 0.79 (95% confidence interval [CI] = 0.75–0.84), independent of traditional risk factors and genetic predisposition. Under the restricted cubic splines model, a non-linear association was detected for PA and RA risk. Participants in the intermediate quintile 3 showed the lowest risk for developing RA, with a HR 95% CI of 0.84 (0.76–0.92). Moreover, there was an additive interaction effect of intermediate sleep pattern and PA, with a 0.45 (95% CI = 0.02–0.87) RERI of developing RA. Additionally, individuals at high genetic risk had the greatest 10-year absolute risk reduction (10.58 per 1000 person-years) when adopting both favorable behaviors.ConclusionsA healthy sleep pattern and moderate PA were associated with a reduced risk of developing RA, which can offset the deleterious effects of predisposing genetic components. Implementing these modifiable lifestyle factors into public health practices is beneficial for RA prevention.

Associations between sleep-related disorders and cardiovascular disease risk in hypertensive patients: Insights from the National Health and Nutrition Examination Survey (NHANES): A cross-sectional study.

Both sleep-related disorders (SRD) and hypertension (HTN) are closely related to the occurrence of cardiovascular disease (CVD); however, few studies have explored their combined effect. Based on the National Health and Nutrition Examination Survey (NHANES) database, we comprehensively analyzed the combined effect of SRD and HTN on the occurrence of CVD. The weighted multivariate logistic regression analysis was adopted to explore how SRD and HTN can affect the occurrence of CVD. Specifically, the additive interaction was evaluated by the relative excess risk due to interaction (RERI), attributable proportion (AP), and the synergy index (SI), and the multiplicative interaction was evaluated by the odds ratio (OR) along with 95% confidence interval (CI) from the product term. All the 33,383 participants from the NHANES database were divided into 2 groups, i.e., the CVD (n = 3712) and non-CVD (n = 29,671) groups. The results indicated that SRD (Model 3: OR = 1.90, 95% CI: 1.60-2.25) and HTN (Model 3: OR = 2.28, 95% CI: 1.87-2.79) were both significantly associated with an increased risk of CVD. Additionally, we observed a significant additive interaction (RERI = 0.88, 95% CI: 0.03-0.65; AP = 0.22, 95% CI: 0.01-0.21; SI = 1.15, 95% CI: 1.07-1.33) and a significant multiplicative interaction (OR = 1.07, 95% CI: 1.03-1.10) between SRD and HTN on the occurrence of CVD. While both SRD and HTN are associated with CVD occurrence, their interaction can also contribute to the development of CVD.

Association and interaction effect of shift work and the risk for obstructive sleep apnea on diabetes mellitus in middle-aged Korean workers.

To investigate the association of shift work and the risk for obstructive sleep apnea (OSA) with diabetes mellitus (DM), and the interaction effect of shift work and the risk for OSA on DM. Data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2019-2021 were used. The participants were 3012 employees aged 40 to 59 years. Shift work was assessed using self-reporting questionnaires. The risk for OSA was assessed by STOP-BANG score. The distribution of demographic factors was calculated using the chi-square test. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression. An interaction effect between shift work and the risk for OSA on DM was evaluated using relative excess risk owing to interaction (RERI) and attributable proportion (AP) with 95% CIs. The synergic index (SI) was also calculated. Shift work and the risk for OSA were each significantly associated with DM. There was also a significant interaction effect between shift work and the risk for OSA on DM. The RERI was 0.543 (95% CI 0.205-1.361) and the AP was 0.230 (95% CI 0.145-0.342). The SI was 1.662 (95% CI 1.481-1.843). There was an association and a significant interaction effect of shift work and the risk for OSA on DM. The management of OSA in shift workers should be implemented to prevent DM.

Gender-specific association of multiple risk factors with neonatal moderate or severe hypoxic ischemic encephalopathy: a cross-sectional study

BackgroundNeonatal hypoxic ischemic encephalopathy (HIE) leads to different degrees of neurological sequelae. The incidence of HIE is relatively high, and the causal pathways leading to HIE are still controversial. This study aimed to investigate the risk factors associated with HIE comparing differences between genders.MethodsA cross-sectional study of 196 neonates diagnosed with HIE was conducted. Based on the severity of clinical findings, HIE was classified as mild, moderate or severe. For mild HIE, the outcomes were relatively less severe, whereas moderate to severe HIE could suffer serious consequences, including death, cerebral palsy, epilepsy. T-test, chi-square test and logistic regression were used to analyze data.ResultsAmong the 196 neonatal HIE, 39 (19.9%) had mild HIE,157 (80.1%) had moderate or severe HIE. The logistic regression analysis showed that gender was a specific stratified characteristic of moderate or severe HIE. In the male neonates group, emergency cesarean section, abnormal labor stage and amniotic fluid contamination were associated with an increased risk of moderate or severe HIE, where the adjusted odds ratios (ORs) were 4.378 (95% confidence intervals (CI):2.263–6.382), 2.827 (95% CI:1.743–5.196) and 2.653 (95%CI:1.645–3.972), respectively. As expected, a significant additive effect was found in the interactions between emergency cesarean section and abnormal labor stage, as well as between emergency cesarean section and amniotic fluid contamination, where the relative excess risk of interaction was 2.315(95%CI:1.573–3.652) and 1.896(95%CI: 1.337–3.861) respectively.ConclusionEmergency cesarean section, abnormal labor stage and amniotic fluid contamination were risk factors of moderate or severe HIE in neonates, and the associations were significantly correlated with male gender. Notably, coinciding incidences of emergency cesarean section with abnormal labor stage, or emergency cesarean section with amniotic fluid contamination were possibly synergistic in increasing the risk of moderate or severe HIE. These findings may assist clinicians in strengthening their awareness on risks affecting HIE and help reduce the incidence of moderate or severe HIE in clinical practice.

The interaction between PAX9 rs2073244 and passive smoking during pregnancy on low birth weight in newborns: a case–control study

ABSTRACT To explore whether rs2073244 at PAX9 increased susceptibility for full-term low birth weight infants and whether indoors passive smoking exposure has a combined effect with rs2073244 on newborn low birth weight (LBW), a 1:2 paired case–control study of LBW newborns was conducted at Xiamen University Affiliated Women and Children’s Hospital from March 2010 to October 2013. The rate of indoor passive smoking exposure in the LBW group was higher than it in the NBW group (p = 0.019). GG of PAX9 rs2073244 decreased the risk of LBW [OR = 0.38, 95% CI: (0.15-0.98)] and smaller HC [OR = 0.44, 95% CI:(0.20-0.98)]. The relative excess risk for LBW contributed by the additive interaction between the rs2073244 risk genotypes AG/AA and mother pregnancy passive smoking exposure was 10.679 (95%CI 1.728–65.975). Our study suggested that the AG/AA genotype of PAX9 rs2073244 might be a risk factor for LBW of full-term newborns, especially in maternal passive smoking.

Joint and interactive associations of body mass index and genetic factors with cardiovascular disease: a prospective study in UK Biobank

BackgroundBoth body mass index (BMI) and genetic factors independently contribute to cardiovascular disease (CVD). However, it is unclear whether genetic risk modifies the association between BMI and the risk of incident CVD. This study aimed to investigate whether BMI categories and genetic risk jointly and interactively contribute to incident CVD events, including hypertension (HTN), atrial fibrillation (AF), coronary heart disease (CHD), stroke, and heart failure (HF).MethodsA total of 496,851 participants from the UK Biobank with one or more new-onset CVD events were included in the analyses. BMI was categorized as normal weight (< 25.0 kg/m2), overweight (25.0–29.9 kg/m2), and obesity (≥ 30.0 kg/m2). Genetic risk for each outcome was defined as low (lowest tertile), intermediate (second tertile), and high (highest tertile) using polygenic risk score. The joint associations of BMI categories and genetic risk with incident CVD were investigated using Cox proportional hazard models. Additionally, additive interactions were evaluated.ResultsAmong the 496,851 participants, 270,726 (54.5%) were female, with a mean (SD) age was 56.5 (8.1) years. Over a median follow-up (IQR) of 12.4 (11.5–13.1) years, 102,131 (22.9%) participants developed HTN, 26,301 (5.4%) developed AF, 32,222 (6.9%) developed CHD, 10,684 (2.2%) developed stroke, and 13,304 (2.7%) developed HF. Compared with the normal weight with low genetic risk, the obesity with high genetic risk had the highest risk of CVD: HTN (HR: 3.96; 95%CI: 3.84–4.09), AF (HR: 3.60; 95%CI: 3.38–3.83), CHD (HR: 2.76; 95%CI: 2.61–2.91), stroke (HR: 1.44; 95%CI: 1.31–1.57), and HF (HR: 2.47; 95%CI: 2.27–2.69). There were significant additive interactions between BMI categories and genetic risk for HTN, AF, and CHD, with relative excess risk of 0.53 (95%CI: 0.43–0.62), 0.67 (95%CI: 0.51–0.83), and 0.37 (95%CI: 0.25–0.49), respectively.ConclusionsBMI and genetic factors jointly and interactively contribute to incident CVD, especially among participants with high genetic risk. These findings have public health implications for identifying populations more likely to have cardiovascular benefit from weight loss interventions.

Exploring the Relationship Between Education, Living Environment, and Anxiety/Depression Among Stable Patients: Insights from the COPD-AD China Registry Study.

Education and living environment are related to mental health. But the independent and combined effects of them on mental health among patients with chronic obstructive pulmonary disease (COPD) are uncertain. The independent and combined effects of education and living environment on mental health were assessed by binary logistic regression in 1064 COPD patients. Additive interaction was assessed with the relative excess risk ratio (RERI), attribution percentage (AP), and synergy index (SI). Our results shown that low education level and urban living environment were independently associated with higher risks for anxiety (odds ratio [OR]: 1.56, 95% confidence interval [CI] 1.06-2.29 and OR:2.15, 95% CI 1.51-2.05) or depression (OR:1.62, 95% CI 1.17-2.27 and OR: 2.01, 95% CI 1.46-2.75) among COPD patients. The combination effect of them was also associated with higher risks for anxiety (OR: 7.90, 95% CI 3.83-16.29, P < 0.001) or depression (OR: 11.79, 95% CI 5.77-24.10, P < 0.001) among these patients. Furthermore, we observed strong synergistic additive interactions between them for anxiety (SI: 11.57, 95% CI 1.41-95.27; RERI: 6.31, 95% CI 1.60-11.01; AP: 0.8, 95% CI 0.66-0.94) and depression (SI: 31.31, 95% CI 1.59-617.04; RERI: 10.44, 95% CI 2.66-18.23; AP: 0.89, 95% CI 0.8-0.97). Low education levels and living in urban areas had an independent and synergistic effects on mental health among COPD patients.

Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.

Individual participant data (IPD) meta-analysis provides important opportunities to study interaction and effect modification for which individual studies often lack power. While previous meta-analyses have commonly focused on multiplicative interaction, additive interaction holds greater relevance for public health and may in certain contexts better reflect biological interaction. Methodological literature on interaction in IPD meta-analysis does not cover additive interaction for models including binary or time-to-event outcomes. We aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage IPD meta-analysis. First, we explain why direct pooling of study-level RERI estimates may lead to invalid results. Next, we propose a three-step procedure to estimate additive interaction: 1) estimate effects of both exposures and their product term on the outcome within each individual study; 2) pool study-specific estimates using multivariate meta-analysis; 3) estimate an overall RERI and 95% confidence interval based on the pooled effect estimates. We illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers using data from the PSYchosocial factors and Cancer (PSY-CA) consortium. We discuss implications of this procedure, including the application in meta-analysis based on published data.

Associations of ambient air pollution and lifestyle with the risk of NAFLD: a population-based cohort study

BackgroundBoth ambient air pollution and lifestyle factors contribute to the incidence of non-alcoholic fatty liver disease (NAFLD), but previous studies usually focused on single-factor associations. We aimed to assess the joint associations of ambient air pollution and lifestyle with the NAFLD risk and investigate whether lifestyle modifies the association of air pollution with NAFLD risk.MethodsA total of 417,025 participants from the UK Biobank were included in this study. Annual average concentrations of NO2, NOx, PM2.5, PM10, and PM2.5−10 were estimated. A composite lifestyle score was determined based on physical activity, alcohol intake, smoking status, dietary patterns, sedentary time, and sleep duration. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs), as well as the population attributable fraction (PAF). Potential additive interactions of air pollution with lifestyle were also examined by the relative excess risk due to the interaction (RERI) and the attributable proportion due to the interaction (AP).Results4752 (1.14%) incident NAFLD events were recorded. Long-term exposure to air pollutants and an unhealthy lifestyle were significantly associated with the increased risk of incident NAFLD. Lifestyle was the primary factor of incident NAFLD, with a PAF of 37.18% (95% CI: 29.67%, 44.69%). In addition, a significant additive interaction between air pollution and lifestyle for NAFLD risk was observed (RERI: 0.36, 95% CI: 0.09–0.63).ConclusionsLong-term exposure to ambient air pollutants and poor lifestyle were jointly associated with a higher risk of NAFLD.

Do interaction and joint effects between physical activity and dietary inflammatory index modify stroke risk?

ObjectiveStroke is a major public health threat, and both physical activity (PA) and diet are modifiable risk factors for stroke. This study assessed the interaction and joint effects of PA and the dietary inflammatory index (DII) on stroke. MethodsWe included 18,676 participants from the 2007–2020 National Health and Nutrition Examination Survey. The independent associations, interactions, and joint effects of PA and the DII on stroke were assessed by weighted multivariable logistic regression. ResultsThe weighted mean age of the participants was 48.24 years, and comprised 703 individuals who had experienced a stroke. After adjusting for confounders, increased stroke risk was independently associated with a higher DII (Q4, odds ratio [OR]: 1.72, 95 % confidence interval [CI]: 1.27–2.34) and insufficient PA (inactive, OR: 1.37, 95 % CI: 1.05–1.78). No significant multiplicative (OR: 1.11, 95 % CI: 0.34–1.93) or additive (relative excess risk due to interaction: 0.45, 95 % CI: 0.35–1.25) interactions were found between DII and PA. The results of joint associations indicated that individuals who consumed the most pro-inflammatory diet (DII, Q4) and were physically inactive (OR: 2.39, 95 % CI: 1.61–3.56) had the highest stroke risk than those who consumed the most anti-inflammatory diet (DII, Q1) and were physically active. ConclusionActive PA and low DII scores are independent protective factors against stroke. Although the multiplicative and additive effects of the DII and PA on stroke risk are not statistically significant, the analysis of their joint effects suggest that individuals who consume anti-inflammatory diets and exhibit active PA consistently have the lowest risk of stroke.

Association of healthy lifestyle factors and genetic liability with bipolar disorder: Findings from the UK Biobank

BackgroundThe interplay between genetic and lifestyle factors in the development of bipolar disorder (BD) remains unclear. MethodsA cohort study was carried out on 365,517 participants from the UK Biobank. Lifestyle scores, based on smoking, physical activity, diet, alcohol consumption, sedentary behavior, sleep duration, and social contact, were grouped as favorable (scores 6–7), intermediate (scores 4–5), or unfavorable (scores 0–3). The BD polygenic risk score (PRS) was also categorized into high, intermediate, and low-risk groups using PRS tertiles. Cox regression models determined hazard ratios (HRs) and 95 % confidence intervals (CIs) for BD. ResultsDuring the 12.9-year follow-up, 529 individuals developed BD. Comparing those with favorable lifestyles to those with unfavorable participants, the HR of developing BD was 3.28 (95 % CI, 2.76–3.89). Similarly, individuals with a high PRS had a risk of 3.20 (95 % CI, 2.83–3.63) compared to those with a low PRS. Notably, individuals with both a high PRS and an unfavorable lifestyle had a significantly higher risk of BD (HR = 6.31, 95 % CI, 4.14–9.63) compared to those with a low PRS and a favorable lifestyle. Additionally, the interaction between PRS and lifestyle contributed an additional risk, with a relative excess risk of 1.74 (95 % CI, 0.40–3.07) and an attributable proportion due to the interaction of 0.37 (95 % CI, 0.16–0.58). ConclusionsOur findings suggest that genetic liability for BD, measured as PRS, and lifestyle have an additive effect on the risk of developing BD. A favorable lifestyle was associated with a reduced risk of developing BD.

Diet modifies the association between alcohol consumption and severe alcohol-related liver disease incidence

It is elusive why some heavy drinkers progress to severe alcohol-related liver disease (ALD) while others do not. This study aimed to investigate if the association between alcohol consumption and severe ALD is modified by diet. This prospective study included 303,269 UK Biobank participants. Alcohol consumption and diet were self-reported. The diet score was created from 4 items selected using LASSO. Cox proportional hazard model showed that the diet score was monotonically associated with severe ALD risk, adjusted for sociodemographics, lifestyle factors, and alcohol consumption. Relative excess risk due to interaction analysis indicated that having a higher ALD diet score and a higher alcohol consumption simultaneously confers to 2.44 times (95% CI: 1.06-3.83) higher risk than the sum of excess risk of each factor. In this work, we show that people who have a poor diet might be more susceptible to severe ALD due to alcohol consumption.

Improving life’s essential 8 mitigates myocardial infarction risk attributed to abnormal birth weight in later life

BackgroundTo prospectively assess the individual and joint effects of birth weight and the life’s essential 8 (LE8)-defined cardiovascular health (CVH) on myocardial infarction (MI) risk in later life. MethodsIn 144,803 baseline MI-free participants who were recruited in the UK Biobank cohort between 2006 and 2010, Cox proportional hazard models were used to estimate the associations of birth weight, LE8 score, and their interactions with incident MI. LE8 was defined on the basis of diet, physical activity, nicotine exposure, sleep health, body mass index, blood pressure, blood glucose, and blood lipids. ResultsLow birth weight was associated with higher risk of MI [hazard ratio (HR) 1.17, 95% confidence interval 1.02–1.35, P = 0.025], while no significant correlation between high birth weight and MI was observed after adjustment. Low CVH was associated with higher MI risk [HR 6.43 (3.71–11.15), P < 0.001). Participants with low birth weight and low CVH (vs. participants with normal birth weight and high CVH) had HR of 5.97 (2.94–12.14) for MI incidence. The relative excess risk due to interaction of low birth weight and low CVH on MI was −4.11 (−8.12, −0.11), indicating a negative interaction on an additive scale. A consistent decreasing trend of MI risk along with increased LE8 score was observed across all three birth weight groups. ConclusionLow birth weight was associated with increased MI risk, emphasizing the importance of the prenatal factor in risk prediction and prevention of MI. Improving LE8 can mitigate MI risk attributed to low birth weight.

Periodontitis and Diabetes Complications: A Danish Population-Based Study

Conflicting evidence suggests a link between diabetes-related microvascular complications and periodontitis. Reliable estimates have been hindered by small sample sizes and residual confounding. Moreover, the combined effects of microvascular complications and dyslipidemia on periodontitis have not been explored. Therefore, this study aimed to investigate the association between individual and combined diabetic microvascular complications (i.e., neuropathy and retinopathy) and moderate/severe periodontitis in a Danish population-based study. In addition, we assessed whether dyslipidemia modified these associations. This study comprised 15,922 participants with type 2 diabetes from the Health in Central Denmark study. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for individual and joint microvascular diabetes complications. The models adjusted for potential confounders, including sociodemographic factors, lifestyle behaviors, and health conditions. Inverse probability of treatment weighting (IPTW) balanced measured confounders between periodontitis and nonperiodontitis participants. Sensitivity analyses tested the findings’ robustness by estimating E-values for unmeasured confounding and varying microvascular complication definitions. After IPTW, adjusted models revealed that diabetic neuropathy (OR 1.36, 95% CI 1.14 to 1.63) and retinopathy (OR 1.21, 95% CI 1.03 to 1.43) were significantly associated with moderate/severe periodontitis. Moreover, the coexistence of microvascular complications increased the odds 1.5-fold for moderate/severe periodontitis (OR 1.51, 95% CI 1.23 to 1.85). An effect modification of dyslipidemia on an additive scale was found, indicated by a positive relative excess risk due to interaction of 0.24 for neuropathy, 0.11 for retinopathy, and 0.44 for both complications. Sensitivity analysis ruled out unmeasured confounders and microvascular complication definitions as explanatory factors. Diabetic neuropathy and retinopathy, individually and combined, were associated with moderate/severe periodontitis. In addition, dyslipidemia had an additive positive effect modification on diabetic microvascular complications, elevating the odds of moderate/severe periodontitis. These findings may aid in identifying at-risk subgroups for diabetes-related microvascular complications and periodontitis, optimizing efforts to mitigate disease burden.

Styrene and ethylbenzene exposure and type 2 diabetes mellitus: A longitudinal gene–environment interaction study

Styrene and ethylbenzene (S/EB) are identified as hazardous air contaminants that raise significant concerns. The association between S/EB exposure and the incidence of type 2 diabetes mellitus (T2DM), and the interaction between genes and environment, remains poorly understood. Our study consisted of 2,219 Chinese adults who were part of the Wuhan-Zhuhai cohort. A follow-up assessment was conducted after six years. Exposure to S/EB was quantified by determining the concentrations of urinary biomarkers of exposure to S/EB (UBE-S/EB; urinary phenylglyoxylic acid level plus urinary mandelic acid level). Logistic regression models were constructed to investigate the relations of UBE-S/EB and genetic risk score (GRS) with T2DM prevalence and incidence. The interaction effects of UBE-S/EB and GRS on T2DM were investigated on multiplicative and additive scales. UBE-S/EB was dose-dependently and positively related to T2DM prevalence and incidence. Participants with high levels of UBE-S/EB [relative risk (RR) ​= ​1.930, 95% confidence interval (CI): 1.157–3.309] or GRS (1.943, 1.110–3.462) demonstrated the highest risk of incident T2DM, in comparison to those with low levels of UBE-S/EB or GRS. Significant additive interaction between UBE-S/EB and GRS on T2DM incidence was discovered with relative excess risk due to interaction (95% CI) of 0.178 (0.065–0.292). The RR (95% CI) of T2DM incidence was 2.602 (1.238–6.140) for individuals with high UBE-S/EB and high GRS, compared to those with low UBE-S/EB and low GRS. This study presented the initial evidence that S/EB exposure was significantly related to increased risk of T2DM incidence, and the relationship was interactively aggravated by genetic predisposition.

Incidence risk of hepatobiliary malignant neoplasms in the cohort of workers chronically exposed to ionizing radiation

The increased risk of liver malignancies was found in workers of the first Russian nuclear production facility, Mayak Production Association, who had been chronically exposed to gamma rays externally and to alpha particles internally due to plutonium inhalation. In the present study, we updated the radiogenic risk estimates of the hepatobiliary malignancies using the extended follow-up period (1948–2018) of the Mayak worker cohort and the improved «Mayak worker dosimetry system–2013». The cohort comprised 22,377 workers hired at the Mayak PA between 1948 and 1982. The analysis considered 62 liver malignancies (32 hepatocellular carcinomas, 13 intrahepatic cholangiocarcinomas, 16 angiosarcomas, and 1 anaplastic cancer) and 33 gallbladder adenocarcinomas. The analysis proved the positive significant association of the liver malignancy risk (the total of histological types, hepatocellular carcinoma) with the liver absorbed alpha dose from internal exposure. The excess relative risk per Gy (95% confidence interval) of alpha dose (the linear model) was 7.56 (3.44; 17.63) for the total of histological types and 3.85 (0.95; 13.30) for hepatocellular carcinoma. Indications of non-linearity were observed in the dose–response for internal exposure to alpha radiation. No impact of external gamma-ray exposure on the liver malignancy incidence was found. In the study cohort, the number of angiosarcomas among various types of liver malignancies was very high (25.8%), and most of these tumors (73.3%) were registered in individuals internally exposed to alpha radiation at doses ranging between 6.0 and 21.0 Gy. No association with chronic occupational radiation exposure was observed for the incidence of gallbladder malignancies.

Synergistic interaction between pay-it-forward incentives and recreational drug use on hepatitis B virus and hepatitis C virus testing among men who have sex with men in China

ObjectivesPay-it-forward incentives effectively promote hepatitis B virus (HBV) and hepatitis C virus (HCV) testing among men who have sex with men (MSM) by offering free testing and donation opportunities. This...

Time series analysis of the interaction between ambient temperature and air pollution on hospitalizations for AECOPD in Ganzhou, China

This study aimed to investigate the univariate and bivariate effects of ambient temperature and air pollutants on 57,251 inpatients with AECOPD (Acute Exacerbation of Chronic Obstructive Pulmonary Disease) in Ganzhou from January 1, 2016, to December 31, 2019. We categorized the daily mean temperature and air pollutant variables based on the exposure–response curve of the Distributed Lag Non-Linear Model. Poisson regression model was used for interaction and stratification analysis. The Relative Excess Risk due to Interaction (RERI) with 95% confidence intervals (95% CI) between daily mean temperature (Tmean) and air pollutants including NO2, PM2.5, and PM10 were − 0.428 (95% CI − 0.637, − 0.218), -− 0.227 (95% CI − 0.293, − 0.161), and − 0.119 (95% CI − 0.159, − 0.079). Further stratification analysis showed the relative risk (RR) (95% CI) of high NO2 (> 33 μg/m3) at low Tmean (≤ 28 °C) was 1.119 (95% CI 1.096, 1.142). Low temperatures with high PM10 in men and high PM2.5 in women were associated with a higher risk of AECOPD hospitalization. The results indicate a higher risk of hospitalization for AECOPD when there is with high concentrations of air pollution at low temperatures.

The Interaction Effect of Obesity with Sleep Duration on Urinary Incontinence in Adult Females: A Cross-Sectional Study of the NHANES Database.

This study aimed to explore the interaction between obesity and sleep duration on urinary incontinence (UI) in adult women. Data of adult females were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2005-2018 in this cross-sectional study. Weighted univariate and multivariate logistic regression analyses were utilized to screen covariates and investigate the associations of obesity and sleep duration with 3 types of UI, including stress urinary incontinence (SUI), urgency urinary incontinence (UUI), and mixed urinary incontinence (MUI). In addition, the interaction effect between obesity and sleep duration on UI was assessed. The evaluation indexes were odd ratios (ORs) and 95% confidence intervals (CIs), relative excess risk due to interaction (RERI), attributable proportion of interaction (AP), and synergy index (S). Among 13,692 eligible women, 6,063 had SUI, 4,370 had UUI, and 2,621 had MUI. After adjusting for the covariates, women with obesity had higher odds of SUI (OR = 1.78, 95% CI: 1.59-2.00), UUI (OR = 1.84, 95% CI: 1.63-2.06), and MUI (OR = 1.67, 95% CI: 1.48-1.88), compared with those who without obesity. Similarly, comparing to adequate sleep, sleep deprivation and hypersomnia were both significantly linked to higher odds of all types of UI (all p &lt; 0.05). The restricted cubic spline (RCS) curves showed that there is a U-shaped association of sleep duration with UUI and MUI, respectively (all non-line p &lt; 0.05). In addition, there was a potential synergistic effect between obesity and hypersomnia on UUI (RERI = 0.576, AP = 0.243, and S = 1.729) and that on MUI (RERI = 0.821, AP = 0.339, and S = 2.373). Obesity and hypersomnia had a potential synergistic effect on UI, especially UUI and MUI. Adult women should adopt measures to keep BMI within normal range, and timely intervene hypersomnia to reduce the possible risk of UI.

Joint Effect of Short-Term Exposure to Fine Particulate Matter and Ozone on Mortality: A Time Series Study in 272 Chinese Cities.

Short-term exposure to PM2.5 or O3 can increase mortality risk; however, limited studies have evaluated their interaction. A multicity time series study was conducted to investigate the synergistic effect of PM2.5 and O3 on mortality in China, using mortality data and high-resolution pollutant predictions from 272 cities in 2013-2015. Generalized additive models were applied to estimate associations of PM2.5 and O3 with mortality. Modification and interaction effects were explored by stratified analyses and synergistic indexes. Deaths attributable to PM2.5 and O3 were evaluated with or without modification of the other pollutant. The risk of total nonaccidental mortality increased by 0.70% for each 10 μg/m3 increase in PM2.5 when O3 levels were high, compared to 0.12% at low O3 levels. The effect of O3 on total nonaccidental mortality at high PM2.5 levels (1.26%) was also significantly higher than that at low PM2.5 levels (0.59%). Similar patterns were observed for cardiovascular or respiratory diseases. The relative excess risk of interaction and synergy index of PM2.5 and O3 on nonaccidental mortality were 0.69% and 1.31 with statistical significance, respectively. Nonaccidental deaths attributable to short-term exposure of PM2.5 or O3 when considering modification of the other pollutant were 28% and 31% higher than those without considering modification, respectively. Our results found synergistic effects of short-term coexposure to PM2.5 and O3 on mortality and suggested underestimations of attributable risks without considering their synergistic effects.