Population Attributable Fraction of Nonvaccination of COVID-19 Due to Vaccine Hesitancy, United States, 2021.

Understanding the extent of coronavirus disease 2019 (COVID-19) nonvaccination attributable to vaccine hesitancy versus other barriers can help prioritize approaches for increasing vaccination uptake. Using data from the Centers for Disease Control and Prevention's Research and Development Survey, a nationally representative survey fielded from May 1 to June 30, 2021 (n = 5,458), we examined the adjusted population attribution fraction (PAF) of COVID-19 vaccine hesitancy attributed to nonvaccination according to sociodemographic characteristics and health-related variables. Overall, the adjusted PAF of nonvaccination attributed to vaccine hesitancy was 76.1%. The PAF was highest among adults who were ≥50 years of age (87.9%), were non-Hispanic White (83.7%), had a bachelor's degree or higher (82.7%), had an annual household income of at least $75,000 (85.5%), were insured (82.4%), and had a usual place for health care (80.7%). The PAF was lower for those who were current smokers (65.3%) compared with never smokers (77.9%), those who had anxiety or depression (65.2%) compared with those who did not (80.1%), and those who had a disability (64.5%) compared with those who did not (79.2%). Disparities in PAF suggest areas for prioritization of efforts for intervention and development of messaging campaigns that address all barriers to uptake, including hesitancy and access, to advance health equity and protect individuals from COVID-19.

All-cause, premature, and cardiovascular death attributable to socioeconomic and ethnic disparities among New Zealanders with type 1 diabetes 1994-2019: a multi-linked population-based cohort study.

BACKGROUND: New Zealand (NZ) research into type 1 diabetes mellitus (T1DM) mortality can inform policy and future research. In this study we aimed to quantify the magnitude to which ethnicity and socioeconomic disparities influenced mortality at the population level among people with Type 1 diabetes (T1DM) in Auckland, New Zealand (NZ). METHODS: The cohort data were derived from the primary care diabetes audit program the Diabetes Care Support Service (DCSS), and linked with national primary care, pharmaceutical claims, hospitalisation, and death registration databases. People with T1DM enrolled in DCSS between 1994-2018 were included. All-cause, premature, and cardiovascular mortalities were estimated by Poisson regression models with adjustment for population-level confounders. The mortality rates ratio (MRR) was standardized against the DCSS type 2 diabetes population. Mortality rates were compared by ethnic group (NZ European (NZE) and non-NZE) and socioeconomic deprivation quintile. The population attributable fraction (PAF) was estimated for ethnic and socioeconomic disparities by Cox regression adjusting for demographic, lifestyle, and clinical covariates. The adjusted slope index inequality (SII) and relative index of inequality (RII) were used to measure the socioeconomic disparity in mortalities. RESULTS: Overall, 2395 people with T1DM (median age 34.6 years; 45% female; 69% NZE) were enrolled, among whom the all-cause, premature and CVD mortalities were 6.69 (95% confidence interval: 5.93-7.53), 3.30 (2.77-3.90) and 1.77 (1.39-2.23) per 1,000 person-years over 25 years. The overall MRR was 0.39 (0.34-0.45), 0.65 (0.52-0.80), and 0.31 (0.24-0.41) for all-cause, premature and CVD mortality, respectively. PAF attributable to ethnicity disparity was not significantly different for mortality. The adjusted PAF indicated that 25.74 (0.84-44.39)% of all-cause mortality, 25.88 (0.69-44.69)% of premature mortality, 55.89 (1.20-80.31)% of CVD mortality could be attributed to socioeconomic inequality. The SII was 8.04 (6.30-9.78), 4.81 (3.60-6.02), 2.70 (1.82-3.59) per 1,000 person-years and RII was 2.20 (1.94-2.46), 2.46 (2.09-2.82), and 2.53 (2.03-3.03) for all-cause, premature and CVD mortality, respectively. CONCLUSIONS: Our results suggest that socioeconomic disparities were responsible for a substantial proportion of all-cause, premature and CVD mortality in people with T1DM in Auckland, NZ. Reducing socioeconomic barriers to management and self-management would likely improve clinical outcomes.

What is the impact of job precariousness on depression? Risk assessment and attributable fraction in Spain.

OBJECTIVES: The prevalence of depression related to precarious employment (PE) has become a significant public health concern, given the declining trend of the standard employment relationship. Research has focused on the mental health detrimental effects of employment conditions, whereas there is scarce evidence concerning the burden of depression that could be prevented by targeting precariousness. This paper estimates the impact of PE on the risk of depression and the attributable fraction within the active and working salaried population in Spain. STUDY DESIGN: Observational cross-sectional on data drawn from the Spanish portion of European Health Survey 2020. METHODS: After applying selection criteria and descriptives, binary logistic regression models stratified by sex are used to examine the associations between a 9-categories combination of employment precariousness and occupational social class, and depressive symptoms. RESULTS: There is a higher risk of depression among individuals in PE and among those who are unemployed, with a notable gradient based on occupational social class for women. Adjusting by sex, age and foreign-born origin, we estimate that approximately 15.0% (95% confidence interval [CI]: 1.0%-26.2%) of depression cases among the working population and 33.3% (95% CI: 23.2%-43.2) among the active population can be attributed to PE. CONCLUSIONS: These findings highlight the public health impact of PE on mental health, provide evidence to estimate the economic burden linked to employment-related mental health, and underscore the need for policy changes and interventions at the level of labour markets and workplaces to mitigate the detrimental effects of PE.

Population-attributable risk of psychiatric disorders for suicide among adolescents and young adults in Taiwan.

BACKGROUND: Youth suicide rates have increased markedly in some countries. This study aimed to estimate the population-attributable risk of psychiatric disorders associated with suicide among Taiwanese youth aged 10-24 years. METHODS: Data were obtained from the National Death Registry and National Health Insurance (NHI) claims database between 2007 and 2019. Youth who died by suicide were included, and comparisons, 1:10 matched by age and sex, were randomly selected from the Registry for NHI beneficiaries. We used multivariable logistic regression to estimate suicide odds ratios for psychiatric disorders. The population-attributable fractions (PAF) were calculated for each psychiatric disorder. RESULTS: A total of 2345 youth suicide and 23 450 comparisons were included. Overall, 44.8% of suicides had a psychiatric disorder, while only 7.9% of the comparisons had a psychiatric disorder. The combined PAF for all psychiatric disorders was 55.9%. The top three psychiatric conditions of the largest PAFs were major depressive disorder, dysthymia, and sleep disorder. In the analysis stratified by sex, the combined PAF was 45.5% for males and 69.2% for females. The PAF among young adults aged 20-24 years (57.0%) was higher than among adolescents aged 10-19 years (48.0%). CONCLUSIONS: Our findings of high PAF from major depressive disorder, dysthymia, and sleep disorder to youth suicides suggest that youth suicide prevention that focuses on detecting and treating mental illness may usefully target these disorders.

The Projected Impact of Population-Wide Achievement of LDL Cholesterol <70 mg/dL on the Number of Recurrent Events Among US Adults with ASCVD.

PURPOSE: Adults with atherosclerotic cardiovascular disease (ASCVD) are recommended high-intensity statins, with those at very high risk for recurrent events recommended adding ezetimibe and/or a proprotein convertase subtilisin/kexin type 9 inhibitor if their low-density lipoprotein cholesterol (LDL-C) is ≥70 mg/dL. We estimated the number of recurrent ASCVD events potentially averted if all adults in the United States (US) ≥45 years of age with ASCVD achieved an LDL-C <70 mg/dL. METHODS: The number of US adults with ASCVD and LDL-C ≥70 mg/dL was estimated from the National Health and Nutrition Examination Survey 2009-2016 (n = 596). The 10-year cumulative incidence of recurrent ASCVD events was estimated from the REasons for Geographic And Racial Differences in Stroke study (n = 5390), weighted to the US population by age, race, and sex. The ASCVD risk reduction by achieving an LDL-C <70 mg/dL was estimated from meta-analyses of lipid-lowering treatment trials. RESULTS: Overall, 14.7 (95% CI, 13.7-15.8) million US adults had ASCVD, of whom 11.6 (95% CI, 10.6-12.5) million had LDL-C ≥70 mg/dL. The 10-year cumulative incidence of ASCVD events was 24.3% (95% CI, 23.2-25.6%). We projected that 2.823 (95% CI, 2.543-3.091) million ASCVD events would occur over 10 years among US adults with ASCVD and LDL-C ≥70 mg/dL. Overall, 0.634 (95% CI, 0.542-0.737) million ASCVD events could potentially be averted if all US adults with ASCVD achieved and maintained LDL-C <70 mg/dL. CONCLUSION: A substantial number of recurrent ASCVD events could be averted over 10 years if all US adults with ASCVD achieved, and maintained, an LDL-C <70 mg/dL.

Influence of analytic methods, data sources, and repeated measurements on the population attributable fraction of lifestyle risk factors.

Population attributable risk (PAR%) reflects the preventable fraction of disease. However, PAR% estimates of cancer have shown large variation across populations, methods, data sources, and timing of measurements. Three statistical methods to estimate PAR% were identified from a systematic literature review: the Levin's formula, the comparative incidence rate method, and the comparative risk assessment method. We compared the variations in PAR% of postmenopausal breast cancer in the Nurses' Health Study to evaluate the influence by method choice, source of prevalence data, use of single vs repeated exposure measurements, and potential joint effects of obesity, alcohol, physical activity, fruit and vegetable intake. Across models of the three methods, the estimated PAR% using repeated measurements were higher than that using baseline measurement; overall PAR% for the baseline, simple update, and cumulative average models were 13.8%, 21.1%, 18.6% by Levin's formula; 13.7%, 28.0%, 31.2% by comparative risk assessment; and 17.4%, 25.2%, 29.3% by comparative incidence rate method. The estimated PAR% of the combination of multiple risk factors was higher than the product of the individual PAR%: 18.9% when assuming independence and 31.2% when considering the risk factors jointly. The three methods provided similar PAR% based on the same data source, timing of measurements, and target populations. However, sizable increases in the PAR% were observed for repeated measures over a single measure and for calculations based on achieving all recommendations jointly rather than individually.

Mediating effect of body fat percentage in the association between ambient particulate matter exposure and hypertension: a subset analysis of China hypertension survey.

BACKGROUND: Hypertension caused by air pollution exposure is a growing concern in China. The association between air pollutant exposure and hypertension has been found to be potentiated by obesity, however, little is known about the processes mediating this association. This study investigated the association between fine particulate matter (aerodynamic equivalent diameter ≤ 2.5 microns, PM2.5) exposure and the prevalence of hypertension in a representative population in southern China and tested whether obesity mediated this association. METHODS: A total of 14,308 adults from 48 communities/villages in southern China were selected from January 2015 to December 2015 using a stratified multistage random sampling method. Hourly PM2.5 measurements were collected from the China National Environmental Monitoring Centre. Restricted cubic splines were used to analyze the nonlinear dose-response relationship between PM2.5 exposure and hypertension risk. The mediating effect mechanism of obesity on PM2.5-associated hypertension was tested in a causal inference framework following the approach proposed by Imai and Keele. RESULTS: A total of 20.7% (2966/14,308) of participants in the present study were diagnosed with hypertension. Nonlinear exposure-response analysis revealed that exposure to an annual mean PM2.5 concentration above 41.8 µg/m3 was associated with increased hypertension risk at an incremental gradient. 9.1% of the hypertension burden could be attributed to exposure to elevated annual average concentrations of PM2.5. It is noteworthy that an increased body fat percentage positively mediated 59.3% of the association between PM2.5 exposure and hypertension risk, whereas body mass index mediated 34.3% of this association. CONCLUSIONS: This study suggests that a significant portion of the estimated effect of exposure to PM2.5 on the risk of hypertension appears to be attributed to its effect on alterations in body composition and the development of obesity. These findings could inform intersectoral actions in future studies to protect populations with excessive fine particle exposure from developing hypertension.

Population-level impact of beliefs and attitudes on vaccine decision-making in South Africa: results from the COVID-19 Vaccine Survey (2021/2022).

OBJECTIVES: In addition to being home to more than seven million HIV-infected individuals, South Africa also has a high burden of COVID-19 and related comorbidities worldwide. We aimed to identify the most influential "beliefs" and "attitudes" on vaccine decision-making behavior. STUDY DESIGN: This study used panel data from cross-sectional surveys. METHODS: We used the data from Black South Africans who participated in the "COVID-19 Vaccine Surveys" (November 2021 and February/March 2022) in South Africa. Besides standard risk factor analysis, such as multivariable logistic regression models, we also used the modified version of population attributable risk percent and estimated the population-level impacts of beliefs and attitudes on vaccine decision-making behavior using the methodology in multifactorial setting. RESULTS: A total of 1399 people (57% men and 43% women) who participated in both surveys were analyzed. Of these, 336 (24%) reported being vaccinated in survey 2. Overall low perceived risk, concerns around efficacy, and safety were identified as the most influential factors and associated with 52%-72% (<40 years) and 34%-55% (40+ years) of the unvaccinated individuals. CONCLUSION: Our findings highlighted the most influential beliefs and attitudes on vaccine decision-making and their population-level impacts, which are likely to have significant public health implications exclusively for this population.

Body size and risk of non-Hodgkin lymphoma by subtype: A pooled analysis from six prospective cohorts in the United States.

In 2022, more than 100 000 non-Hodgkin lymphoma (NHL) diagnoses are expected, yet few risk factors are confirmed. In this study, data from six US-based cohorts (568 717 individuals) were used to examine body size and risk of NHL. Over more than 20 years of follow-up, 11 263 NHLs were identified. Hazard ratios (HRs) and 95% confidence intervals (CI) estimated associations with NHLs for adult body mass index (BMI), height, weight change, waist circumference and predicted fat mass. Adult height was broadly associated with NHL, but most strongly with B-cell NHLs among non-White participants (e.g. HRBLACK  = 2.06, 95% CI: 1.62-2.62). However, the strongest association among the anthropometric traits examined was for young adult BMI and risk of diffuse large B-cell lymphoma (DLBCL), particularly those who maintained a higher BMI into later adulthood. Individuals with BMI over 30 kg/m2 throughout adulthood had more than double the DLBCL risk (HR = 2.67, 95% CI: 1.71-4.17) compared to BMI 18.5-22.9 kg/m2 . Other anthropometric traits were not associated with NHL after controlling for BMI. These results suggest that sustained high BMI is a major driver of DLBCL risk. If confirmed, we estimate that up to 23.5% of all DLBCLs (and 11.1% of all NHLs) may be prevented with avoidance of young adult obesity.

Potential Impact of Time Trend of Lifestyle Risk Factors on Burden of Major Gastrointestinal Cancers in China.

BACKGROUND & AIMS: China has the largest number of incident liver, esophageal, gastric, and colorectal cancer cases in 2020. Examining the time trend of relevant lifestyle risk factors would help project the trend of these gastrointestinal (GI) cancer incidence in China. METHODS: We estimated the time trend of the lifestyle factors based on the China Health and Nutrition Survey 1991 to 2011. We applied the comparative risk assessment method to estimate the population attributable fraction of GI cancers attributable to each risk factor. We also projected the prevalence of lifestyle factors and the associated burden of GI cancer from 2011 to 2031. RESULTS: In 2011, 56.5% of colorectal, 59.8% of gastric, 48.5% of esophageal, and 35.2% of liver cancer in China were attributable to the lifestyle risk factors under study. Smoking, sodium intake, low vegetable intake, and low fruit intake have improved over time but remained far from optimal and are expected to be responsible for 170,000, 35,000, 22,000, and 50,000 GI cancer cases in 2031, respectively. High body mass index, red and processed meat consumption, and low physical activity are expected to contribute increasingly more GI cancer, accounting for 142,000, 185,000, 60,000, and 53,000 cases in 2031, respectively. The estimated population attributable fraction for all risk factors in 2031 is 52.1%. CONCLUSIONS: Lifestyle risk factors have had an impact on the risk of GI cancer in China, and the impact is projected to increase. If everyone could adhere to the optimal lifestyle, half of all GI cancer events would be prevented by year 2031.

Estimation and inference for the population attributable risk in the presence of misclassification.

Because it describes the proportion of disease cases that could be prevented if an exposure were entirely eliminated from a target population as a result of an intervention, estimation of the population attributable risk (PAR) has become an important goal of public health research. In epidemiologic studies, categorical covariates are often misclassified. We present methods for obtaining point and interval estimates of the PAR and the partial PAR (pPAR) in the presence of misclassification, filling an important existing gap in public health evaluation methods. We use a likelihood-based approach to estimate parameters in the models for the disease and for the misclassification process, under main study/internal validation study and main study/external validation study designs, and various plausible assumptions about transportability. We assessed the finite sample perf ormance of this method via a simulation study, and used it to obtain corrected point and interval estimates of the pPAR for high red meat intake and alcohol intake in relation to colorectal cancer incidence in the HPFS, where we found that the estimated pPAR for the two risk factors increased by up to 317% after correcting for bias due to misclassification.

Adiposity and risk of prostate cancer death: a prospective analysis in UK Biobank and meta-analysis of published studies.

BACKGROUND: The association of adiposity with prostate cancer specific mortality remains unclear. We examined how adiposity relates to fatal prostate cancer and described the cross-sectional associations of commonly used adiposity measurements with adiposity estimated by imaging in UK Biobank. We also conducted a dose-response meta-analysis to integrate the new data with existing prospective evidence. METHODS: 218,237 men from UK Biobank who were free from cancer at baseline were included. Body mass index (BMI), total body fat percentage (using bioimpedance), waist circumference (WC) and waist-to-hip ratio (WHR) were collected at recruitment. Risk of dying from prostate cancer (primary cause) by the different adiposity measurements was estimated using multivariable-adjusted Cox proportional hazards models. Results from this and other prospective cohort studies were combined in a dose-response meta-analysis. RESULTS: In UK Biobank, 661 men died from prostate cancer over a mean follow-up of 11.6 years. In the subsample of participants with magnetic resonance imaging and dual-energy X-ray absorptiometry, BMI, body fat percentage and WC were strongly associated with imaging estimates of total and central adiposity (e.g. visceral fat, trunk fat). The hazard ratios (HR) for prostate cancer death were 1.07 (95% confidence interval = 0.97-1.17) per 5 kg/m2 higher BMI, 1.00 (0.94-1.08) per 5% increase in total body fat percentage, 1.06 (0.99-1.14) per 10 cm increase in WC and 1.07 (1.01-1.14) per 0.05 increase in WHR. Our meta-analyses of prospective studies included 19,633 prostate cancer deaths for BMI, 670 for body fat percentage, 3181 for WC and 1639 for WHR, and the combined HRs for dying from prostate cancer for the increments above were 1.10 (1.07-1.12), 1.03 (0.96-1.11), 1.07 (1.03-1.11), and 1.06 (1.01-1.10), respectively. CONCLUSION: Overall, we found that men with higher total and central adiposity had similarly higher risks of prostate cancer death, which may be biologically driven and/or due to differences in detection. In either case, these findings support the benefit for men of maintaining a healthy body weight.

The contribution of potentially modifiable risk factors to acute ischemic stroke burden - Comparing young and older adults.

Stroke is a leading cause of death and disability. In order to estimate the contribution of five modifiable risk factors to acute ischemic stroke (AIS) incidence in Israel, we conducted a case-control study based on first AIS cases aged 21-90 reported to the Israeli National Stroke Registry during 2014-2015, and controls from a national health survey conducted between 2013 and 2015. We calculated the population attributable risk (PAR) of each risk factor and the combined PAR for all risk factors (hypertension, diabetes, current smoking, obesity and hyperlipidemia), in all study population and by subgroups of young adults (age < 55) and older adults (age ≥ 55). The final analysis included 571, 577 and 500 matched pairs for all study population, young adults and older adults, respectively. Among young adults, current smoking and hypertension were the two most contributing risk factors for AIS, accounting for 33.6% (95% CI 27.3-39.9) and 28.9% (95% CI 22.1-35.7) of AIS cases, respectively. Among older adults, hypertension was the single most contributing risk factor for AIS and diabetes was the second most contributing risk factor for AIS, accounting for 64.9% (95% CI 57.3-72.5) and 25.7% (95% CI 17.5-33.9) of AIS cases, respectively. The combined PAR was significantly lower among young adults (PAR = 67.9%), compared with older adults (PAR = 80.7%). The combined PAR for all study population was 80.1% (95% CI 74.0-86.2), indicating that five common and modifiable risk factors explain ~80% of AIS incidence in Israel. Primary prevention strategies targeting these risk factors have the potential to drastically reduce stroke related morbidity and mortality.

A Prospective Evaluation of Modifiable Lifestyle Factors in Relation to Peripheral Artery Disease Risk.

OBJECTIVE: To examine the joint associations of multiple modifiable lifestyle factors with the risk of symptomatic peripheral artery disease (PAD) referred to secondary care in the healthy, community based population. METHODS: A prospective cohort study was conducted including 37 633 men from the Cohort of Swedish Men and 31 816 women from the Swedish Mammography Cohort who were free of clinically diagnosed PAD and 45 - 83 years of age at baseline. Healthy lifestyle factors were defined as avoidance of excessive alcohol consumption (≤ 2 drinks/day), high adherence to a healthy diet (modified Mediterranean diet score ≥ 4), moderate to high level of physical activity (≥ 30 minutes/day), and never smoking. PAD cases were ascertained by linkage with the Swedish National Patient Registry. Cox proportional hazards regression was used to analyse the data. RESULTS: During a mean of 18.1 years of follow up (from 1 January 1998 to 31 December 2019), 2 795 incident symptomatic PAD cases were ascertained. All healthy lifestyle factors were associated with a reduced PAD risk. Individuals who adhered to all four healthy lifestyle factors had a 45% (95% confidence interval [CI] 38 - 51) lower risk of PAD compared with the remainder of the population (0 - 3 healthy lifestyle factors) and a 71% (95% CI 61 - 79) lower risk of PAD compared with the group without any healthy lifestyle factor. Adherence to the combination of four healthy lifestyle factors was estimated to prevent 40% (95% CI 34 - 47) of PAD cases. CONCLUSION: Healthy lifestyle factors were associated with a reduced risk of PAD.

Prevalence and Population-Attributable Risk for Chronic Airflow Obstruction in a Large Multinational Study.

Rationale: The Global Burden of Disease program identified smoking and ambient and household air pollution as the main drivers of death and disability from chronic obstructive pulmonary disease (COPD). Objectives: To estimate the attributable risk of chronic airflow obstruction (CAO), a quantifiable characteristic of COPD, due to several risk factors. Methods: The Burden of Obstructive Lung Disease study is a cross-sectional study of adults, aged ≥40, in a globally distributed sample of 41 urban and rural sites. Based on data from 28,459 participants, we estimated the prevalence of CAO, defined as a postbronchodilator FEV1-to-FVC ratio less than the lower limit of normal, and the relative risks associated with different risk factors. Local relative risks were estimated using a Bayesian hierarchical model borrowing information from across sites. From these relative risks and the prevalence of risk factors, we estimated local population attributable risks. Measurements and Main Results: The mean prevalence of CAO was 11.2% in men and 8.6% in women. The mean population attributable risk for smoking was 5.1% in men and 2.2% in women. The next most influential risk factors were poor education levels, working in a dusty job for ≥10 years, low body mass index, and a history of tuberculosis. The risk of CAO attributable to the different risk factors varied across sites. Conclusions: Although smoking remains the most important risk factor for CAO, in some areas, poor education, low body mass index, and passive smoking are of greater importance. Dusty occupations and tuberculosis are important risk factors at some sites.

Association between early detected heart failure stages and future cardiovascular and non-cardiovascular events in the elderly (Copenhagen Heart Failure Risk Study).

BACKGROUND: Early stages of heart failure (HF) are associated with an increased risk of hospitalization and increased mortality, however the course of progression and the impact of non-cardiovascular comorbidities on adverse events in elderly high-risk patients are unknown. AIM: To examine the risk of future cardiovascular (CV) and non-CV events in early stages of HF in a cohort of elderly patients (age ≥ 60 with ≥ 1 risk factor for HF and without known or clinically suspected HF). METHODS: A total of 400 patients (American Heart Association HF stage A: N = 177; stage B: N = 150; stage C: N = 73) from the Copenhagen Heart Failure Risk Study were identified and followed for the main composite outcome of a HF hospitalization (HFH), ischemic heart disease (IHD), stroke, and all-cause death, recorded within the Danish nationwide registries. Non-CV hospitalization was a secondary outcome. Absolute risk was calculated by the Aalen-Johansen estimator. RESULTS: The median follow-up time was 3.3 years, total number of events were 83, and the 3-year risk (95% confidence interval) of the main outcome was 12.8% (7.8-17.9), 22.8% (16.1-29.6) and 31.8% (21.0-42.6) for patients with stage A, B, and C, respectively. 1.1% (0.0-2.7), 3.4% (1.0-6.3) and 10.0% (2.8-16.3) experienced HFH as their first event, whereas 37.3% (30.2-44.4), 49.7% (41.6-57.8) and 54.8% (43.4-66.2) were admitted for non-CV causes as their first event. CONCLUSION: The risk of HFH, IHD, stroke and all-cause death increased with severity of HF stage, and 10% of patients with undiagnosed HF stage C were admitted for HF within 3 years. However, the risk of non-CV hospitalizations was greater compared to the risk of experiencing HFH.

Relationship between tobacco use, alcohol consumption and non-communicable diseases among women in India: evidence from National Family Health Survey-2015-16.

BACKGROUND: Based on an increased prevalence of diabetes, asthma and hypertension among women in reproductive age, understanding the risk factors of non-communicable diseases (NCDs) is crucial to inform policy and program interventions to address the problem. In this study, we empirically assessed the associations of behavioural factors such as alcohol consumption and tobacco use and a variety of socioeconomic characteristics with prevalence of NCDs in adult women. METHODS: The data were derived from the National Family Health Survey conducted in 2015-16. The effective sample size for the present paper was 699,686 women aged 15-49 years in India. Descriptive statistics along with bivariate analysis were conducted to find the preliminary results. Additionally, multivariable logistic regression analysis was conducted to find the relationship between NCDs and behavioural factors such as alcohol consumption and tobacco use. Moreover, population attributable risk was estimated in the present study. RESULTS: It was revealed that 15.9% of women had any of the NCDs. A proportion of 0.8% of women smoked tobacco whereas 5.5% of women consumed smokeless tobacco. Also, a proportion of 1.2% of women consumed alcohol in the current study. The odds of having NCDs among women who smoked tobacco, consumed smokeless tobacco and consume alcohol were 16, 8 and 20% significantly higher than the odds of having NCDs among women who did not smoke tobacco, consume smokeless tobacco and consume alcohol respectively. The population attributable risk of having NCDs was 1.8% (p < 0.001) for women who smoked, 0.8% (p < 0.001) for women who consumed smokeless tobacco and 2.2% (p < 0.001) for women who consumed alcohol. Besides, the odds of having NCDs among overweight and obese women were 2.25 and 3.60 times greater than the odds of having NCDs among women who were underweight. CONCLUSION: The findings revealed that smoking and using smokeless tobacco and alcohol consumption were risk factors of NCDs in women. The findings also alarm the focus of maternal and child health programs on NCDs' risk factors like maternal obesity, due to their adverse health consequences on their children too. Also, the coexistence of higher levels of tobacco use and alcohol consumption requires different strategies to address the vulnerability of women towards NCDs, including screening and early detection of NCDs especially among those who smoke or chew tobacco and consume alcohol.

Childhood adversities and suicidal thoughts and behaviors among first-year college students: results from the WMH-ICS initiative.

PURPOSE: To investigate the associations of childhood adversities (CAs) with lifetime onset and transitions across suicidal thoughts and behaviors (STB) among incoming college students. METHODS: Web-based self-report surveys administered to 20,842 incoming college students from nine countries (response rate 45.6%) assessed lifetime suicidal ideation, plans and attempts along with seven CAs: parental psychopathology, three types of abuse (emotional, physical, sexual), neglect, bully victimization, and dating violence. Logistic regression estimated individual- and population-level associations using CA operationalizations for type, number, severity, and frequency. RESULTS: Associations of CAs with lifetime ideation and the transition from ideation to plan were best explained by the exact number of CA types (OR range 1.32-52.30 for exactly two to seven CAs). Associations of CAs with a transition to attempts were best explained by the frequency of specific CA types (scaled 0-4). Attempts among ideators with a plan were significantly associated with all seven CAs (OR range 1.16-1.59) and associations remained significant in adjusted analyses with the frequency of sexual abuse (OR = 1.42), dating violence (OR = 1.29), physical abuse (OR = 1.17) and bully victimization (OR = 1.17). Attempts among ideators without plan were significantly associated with frequency of emotional abuse (OR = 1.29) and bully victimization (OR = 1.36), in both unadjusted and adjusted analyses. Population attributable risk simulations found 63% of ideation and 30-47% of STB transitions associated with CAs. CONCLUSION: Early-life adversities represent a potentially important driver in explaining lifetime STB among incoming college students. Comprehensive intervention strategies that prevent or reduce the negative effects of CAs may reduce subsequent onset of STB.

The risk factors of preterm birth: A multicentre case-control survey in China in 2018.

OBJECTIVES: To investigate the risk profile of preterm birth (PTB) in 2018 in China. METHOD: A prospective multicentre case-control study was conducted in 15 hospitals located in seven provinces throughout three geographical areas (the Eastern, South-Central and North-Western regions) in China. A total of 3147 preterm (<37+0 weeks) and 3147 term (37+0 to 41+6 weeks) live-birth mothers were included. Designed questionnaires were used to investigate maternal and fetal information. We calculated multivariable logistic regression and population attributable risk (PAR). RESULTS: Iatrogenic PTB accounted for 48.1% of preterm mothers. Multivariable analysis showed PTB was significantly associated with six categories of maternal and fetal factors, adverse life-style and psychological conditions (adjusted odds ratio (aOR) 2.063, 95% confidence interval (CI) 1.601-2.657) had the highest PAR% (60.1%). High school and below education level (PAR% = 25.8%), living in town or village (PAR% = 24.4%), low pregnant weight gain (PAR% = 16.8%), hypertensive disorders in pregnancy (aOR: 5.010, 95% CI: 4.039-6.216, PAR% = 15.3%), placental abnormality (aOR: 4.242, 95% CI: 3.454-5.211, PAR% = 14.1%) and multiple pregnancy (aOR: 10.990, 95% CI: 7.743-15.599, PAR% = 11.8%) were significantly associated with PTB with high PAR% value. CONCLUSION: The main risk factors for PTB in China were placental abnormality, hypertensive disorders in pregnancy and multiple pregnancy. Adverse life-style and psychological conditions and socio-economic disadvantage had high public health significance.

FTO-rs9939609 Polymorphism is a Predictor of Future Type 2 Diabetes: A Population-Based Prospective Study.

The study aimed to evaluate the contribution of the FTO A/T polymorphism (rs9939609) to the prediction of the future type 2 diabetes (T2D). A population-based prospective study included 1443 nondiabetic subjects at baseline, and they were examined for developing T2D after 5-year follow-up. Cox proportional hazards model was used to evaluate the hazard ratio (HR) of rs9939609 to the future T2D in the models adjusted for the confounding factors including socio-economic status, lifestyle factors (smoking and drinking history, sporting habits, and leisure time), and clinical patterns (obese status, blood pressures, and dyslipidemia) at baseline. The area under receiver operating characteristic curve (AUC) was used to measure the power to predict individuals with T2D. The FTO-rs9939609 polymorphism was a significant predictor of future T2D in the model unadjusted, and it remained significant in the final model after adjustment for the confounding factors, showing an additive effect of the A-allele (HR = 1.35, 95% CI = 1.02-1.78, P = 0.036, AUC = 0.676). For normoglycemic subjects at baseline, the similar final adjusted model reported the increased HR per A-allele (HR = 1.50, 95% CI = 1.09-2.07, P = 0.012, AUC = 0.697). Five-year changes in BMI, waist circumference, and systolic blood pressure did not remove the contribution of rs9939609 to increased HR of T2D. The population attributable risk for risk genotype was 13.6%. In conclusion, the study indicates that the FTO-rs9939609 polymorphism is an important genetic predictor for future T2D in Vietnamese population.