Chinese Residents Research Articles

Cross-sectional and longitudinal associations of PAHs exposure with serum uric acid and hyperuricemia among Chinese urban residents: The potential role of oxidative damage

A few studies found polycyclic aromatic hydrocarbons (PAHs) were associated with serum uric acid (SUA) or hyperuricemia (HUA). However, the longitudinal study is vacant, and the underlying mechanisms remain unclear. We aimed to assess the cross-sectional and longitudinal associations of urinary PAHs metabolites with SUA levels and HUA risk, and explore the mediating effects of oxidative stress and inflammation. 10 urinary mono-hydroxylated PAHs metabolites and SUA levels were measured among 4047 Chinese urban residents at baseline and 1496 individuals at 6-year follow-up. Biomarkers of oxidative damage and inflammation in urine/plasma were determined at baseline. We adopted generalized linear mixed models and logistic regression to assess the associations of PAHs metabolites with SUA and HUA, weighted quantile sum regression and adaptive elastic net regression to evaluate the overall effects of multi-PAHs mixture, and mediation analysis to estimate the mediating roles of the biomarkers. In the cross-sectional study, each 1-unit increase in the ln-transformed values of 2-OHNa, 2-OHFlu, 4-OHPh, 9-OHPh, 3-OHPh, 2-OHPh, ΣOHNa, ΣOHPh, and ΣOHPAHs was associated with a 4.10-, 3.90-, 6.42-, 7.33-, 4.85-, 5.43-, 4.47-, 7.67-, and 5.22-μmol/L increase in SUA, respectively. Meanwhile, each 1-unit increase in the ln-transformed values of 1-OHNa, 2-OHNa, 4-OHPh, 9-OHPh, 3-OHPh, 2-OHPh, ΣOHNa, ΣOHPh, and ΣOHPAHs was associated with a 17, 14, 15, 22, 14, 19, 18, 27, and 21% increment in HUA risk, respectively. After 6 years, individuals with persistent high level of 9-OHPh had a 12.5 μmol/L increase in SUA compared with those with persistent low level. The overall effects of multi-PAHs mixture on SUA and HUA remain positive. 8-hydroxy-deoxyguanosine mediated the associations of PAHs metabolites with SUA and HUA, and the mediated proportion ranged from 5.39% to 15.34%. PAHs exposure was associated with the elevated SUA levels and increased HUA risk, and oxidative DNA damage may be one of the underlying mechanisms.

Psychological and behavior investigation of Chinese residents: Concepts, practices, and prospects

To provide researchers with a comprehensive understanding of the Psychological and Behavior Investigation of Chinese Residents (PBICR), this paper introduces its background and features from four aspects. In terms of design concept, the PBICR focuses on various aspects of the mental health and health behaviors of the Chinese population, takes full account of timeliness and efficiency, adheres to the original intention of open data access and data sharing, and builds a high-quality database with large-sample, multi-center, repetitive, and a nationwide cross-sectional design to promote data mining and exchange and cooperation; in terms of survey implementation, the PBICR adopts a combination of population size-proportional, multi-stage sampling and quota sampling, and obtains data through face-to-face field surveys with strict quality control to ensure the representativeness and reliability of the samples. Regarding to the output, the PBICR's research content is rich and updated in line with international hotspots, which can satisfy the demand for research needs on diversified variables and data. Previous research results have had a significant impact in many fields such as public health, management, communication, and psychology. Looking ahead, the PBICR will gradually complete the construction of databases from the general database to sub-databases, pay attention to special populations and globally widespread areas, add perspectives on tracking surveys and biomedical data research, and have greater research potential to drive research on the mental and behavioral health of Chinese population through the overall layout of the multi-dimensional.

The serum uric acid to serum creatinine ratio is an independent risk factor for type 2 diabetes in community-dwelling elderly: A longitudinal analysis

Background and aimElevated serum uric acid (SUA) levels are an important marker of metabolic disorders. However, SUA levels largely depend on renal clearance function. This study aims to investigate the relationship between renal function-normalized SUA [SUA to serum creatinine (SCr) ratio] and the risk of developing type 2 diabetes in a community-dwelling elderly population. Methods and resultsA retrospective cohort study was conducted on elderly, non-diabetic individuals from the Kunshan community in China, who participated in annual health check-ups between January 2018 and December 2023. The relationship between the baseline SUA/SCr ratio and the risk of type 2 diabetes was examined using Cox regression models, restricted cubic splines (RCS), and subgroup analyses. After a median follow-up of 3.88 years, 778 cases of type 2 diabetes were identified among 7671 elderly non-diabetic individuals. Adjusting for confounding variables, the baseline SUA/SCr ratio was significantly linked to type 2 diabetes risk (P < 0.001). Individuals in the highest SUA/SCr ratio quartile had a 1.323 times higher risk of developing type 2 diabetes compared to those in the lowest quartile (HR = 1.323, 95% CI 1.053–1.661, P = 0.016). RCS analysis further confirmed this positive association. Additionally, subgroup analyses suggested that this relationship was particularly pronounced in female individuals. ConclusionsIn Chinese elderly community residents, the baseline SUA/SCr ratio is linked to the risk of type 2 diabetes. Monitoring this ratio could aid in predicting and assessing the risk of type 2 diabetes.

A study of the influence of the stability of the population's income and expenditure on the development of restaurant chains

This study examines the connection between the income of Chinese residents and the expansion of restaurant chains from 2005 to 2021. It employs multiple methodologies, such as an evaluation index system, the entropy value method, and the coupled coordination degree model. There are sixteen indicators divided into two groups: residents' income and expenditures, and restaurant chain expansion. The analysis reveals the following trends: instability from 2005 to 2009 as a result of the global financial crisis; regional disparities from 2010 to 2014; and coordinated development from 2015 to 2021 as a result of government policies that stimulate domestic demand. This research contributes to strategic planning and decision-making in the hotel, catering, and tourism industries by assessing the effect of Chinese residents' stable income and expenditures on restaurant chains.

The Influence of Identity Bubble Reinforcement on the Happiness Index among Chinese Medical Staff: The Mediating Role of General Self-Efficacy.

This study aimed to explore the mediating role of general self-efficacy in the influence of social media identity bubble reinforcement on the happiness index among Chinese medical staff. This study utilized data (n = 877) from the 2022 Psychological and Behavioral Investigation of Chinese Residents (PBICR) related to medical staff. Correlation analysis was performed using SPSS 26.0 software, and the relationships between general self-efficacy, social media identity bubble reinforcement, and the happiness index of Chinese medical staff were examined using AMOS 23.0 software. The happiness index of Chinese medical staff was scored at 2.93 ± 1.21 for each item. Social media identity bubble reinforcement among Chinese medical staff was positively correlated with general self-efficacy (r = 0.380, P < .001), as well as with the happiness index (r = 0.330, P < .001). General self-efficacy was positively correlated with the happiness index (r = 0.575, P < .001) and was found to mediate the relationship between social media identity bubble reinforcement and the happiness index of Chinese medical staff. In terms of the mediating effect of social media identity bubble reinforcement, the direct effect's 95% confidence interval (CI) was 0.031-0.142, accounting for 34.68% of the total effect, which is statistically significant (P = .015), while the 95% CI of the indirect effect was 0.125-0.212, representing 65.32% of the total effect, also statistically significant (P = .005). Social media identity bubble reinforcement and general self-efficacy were found to be important factors influencing the happiness index of medical staff. Hospital managers and policymakers can thus enhance the social media identity bubble reinforcement and general self-efficacy of Chinese medical staff through effective measures to improve their happiness indices.

Assessment of theoretical gluten exposure in the Chinese population

In recent years, the widespread attention to gluten-free foods has led many countries to establish limits for gluten contamination in such foods. However, there is a paucity of research on gluten intake related to the diets of Chinese populations. This study aimed to estimate the level of theoretical dietary exposure to gluten and the potential health risks in the Chinese context. We used a scenario hypothesis methodology that assumed gluten contents of gluten-free alternatives for possible gluten-containing foods of 5 mg/kg, 10 mg/kg, 20 mg/kg or 50 mg/kg and used data from the 2018 Survey on Food Consumption of Chinese Residents. Our results show that gluten levels not exceeding 20 mg/kg would lead to gluten exposure that remains below 50 mg per day for all groups, stratified by sex and age, that we studied. We recommend adopting a gluten content threshold of 20 mg/kg for gluten-free foods in China.

Paths from simple game-targeted pro-environmental behaviors to more diverse pro-environmental behaviors: Empirical evidence from the Ant Forest app

Game interventions have drawn much attention for their playful features and “painless” promotion of simple game-targeted pro-environmental behaviors (GPEBs), which could spill over to more “costly” prosocial behaviors for pro-environmental causes (PSBPs). The literature places much emphasis on game-targeted mechanisms (e.g., enjoyment and competition) to explain the impacts of game interventions, but pays little attention to non-game-targeted mechanisms to explore their spillover effect. Using online survey data from 1246 Chinese residents, this paper first compares players’ and nonplayers’ levels of engagement with GPEBs and with two common PSBPs, finding a positive spillover effect from game-targeted simple behaviors to more diverse PSBPs. Based upon goal theory, self-perception theory, and learning theory, the paper then examines the underlying mediating mechanisms of the positive relationship between GPEBs and PSBPs for subsamples of players and nonplayers respectively. The results demonstrate that individual awareness of problem and self-efficacy could be enhanced through engaging in simple GPEBs, which could spill over to more challenging and “costly” PSBPs, including charitable giving and volunteering for pro-environmental causes. The study provides important insights on helping to encourage specific types of more challenging PSBPs not directly targeted by the game.

Associations between Adipose Tissue-Specific Insulin Resistance and Atherosclerotic Plaques and Burden in Community-Based Population.

We aimed to examine the association between adipose tissue-specific insulin resistance and atherosclerotic burden and plaques in intracranial, extracranial, and coronary arteries in community residents without diabetes. Adipose tissue-specific insulin resistance index (Adipo-IR) was calculated by fasting serum insulin and free fatty acids and categorized into 4 groups according to the quartiles. The 3.0 T magnetic resonance imaging scanner was used to assess intracranial and extracranial atherosclerotic plaques, while computed tomography angiography was used to assess coronary atherosclerotic plaques. Intracranial, extracranial, and coronary atherosclerotic burden was assessed by segmental stenosis segment scores of the corresponding arterial segments, respectively. Binary and ordinal logistic regression models were utilized to investigate the relationship of Adipo-IR with the presence of atherosclerotic plaques and atherosclerotic burden. Of 2,719 participants (mean [standard deviation] age, 60.9 [6.6] years; 1,441 [53.0%] women), the prevalence of intracranial atherosclerotic plaques, extracranial atherosclerotic plaques, and coronary plaques were 432 (15.9%), 975 (35.9%), and 1,160 (42.7%), respectively. Compared with individuals with the lowest quartile, participants with the fourth quartile of the Adipo-IR were associated with intracranial atherosclerotic burden (common odds ratio [cOR]: 1.35; 95% confidence interval [CI]: 0.99-1.82), coronary plaque (odds ratio [OR]: 1.45; 95% CI: 1.15-1.83), and segment stenosis score (cOR: 1.44; 95% CI: 1.15-1.81) after adjustment for age, sex, and current smoking. Adipose tissue-specific insulin resistance is associated with atherosclerotic burden and plaques in intracranial and coronary arteries in Chinese community nondiabetic residents.

What exacerbates and what eases Chinese rural residents’ depression during the COVID-19?

During the COVID-19 pandemic, there has been a growing prevalence of mental disorders, particularly in China, where anti-epidemic measures have been more stringent compared to other countries. This has resulted in a heightened psychological burden on individuals. However, the actual psychological impacts of COVID-19 on Chinese residents have not been clearly established. In this study, we aimed to investigate the effects of various factors, including personal and household characteristics, social networks, and epidemic-related variables (such as rural residents' knowledge of COVID-19 virus transmission and prevention), on rural residents' depression. Using a two-year balanced panel dataset encompassing 152 villages and 676 samples in both 2019 and 2020, we employed the Ordinary Least Squares (OLS) model to estimate the influence of these factors and compare their coefficients to examine the changes in rural residents' depression between the pre-epidemic and during-epidemic periods. Our study highlights significant factors contributing to rural residents' depression during the COVID-19 pandemic, including isolation (2.063, p < 0.01) and concern about COVID-19 infection (0.128, p < 0.05). Conversely, factors such as health status (−0.714, p < 0.01) and the number of friends (−0.017, p < 0.01) were found to significantly alleviate depression among rural residents. Moreover, we identify key moderators that mitigate the negative impact of infection concerns on mental health. Specifically, the health status of rural residents (−0.166, p < 0.01), the size of their family network (−0.036, p < 0.05), and their knowledge of COVID-19 transmission and prevention (−0.184, p < 0.05) significantly moderated the relationship between infection concerns and depression. These findings contribute to a better understanding of the psychological implications of the pandemic and provide valuable insights for the development of targeted interventions to address mental health challenges in rural populations.

Owning housing units versus owning the residence: The divergence between two types of homeownership rates in urban China since 2008

Urban housing is crucial for understanding socioeconomic inequality in transitional economies. In China, since the massive housing privatization, there has been a significant improvement in various aspects of urban housing. Official data and research articles report a substantial increase in urban homeownership rates. However, prevailing studies and media reports also reveal the growing difficulty for young people to attain homeownership. Hence, it is unclear whether it has become easier or harder for Chinese urban residents to become homeowners, and why. We propose differentiating between two types of homeownership: (1) ownership of an urban housing unit (broadly-defined homeownership), and (2) ownership of the housing unit in which one currently lives (narrowly-defined homeownership). The trends of these two types of homeownership rates have diverged since 2008. While the former rose because housing units were increasingly viewed as investment goods, the latter declined, which suggests that for new entrants into the housing market, it has become harder to own their residences. We draw on six waves of the Chinese General Social Survey (CGSS) between 2003 and 2018 for our empirical investigation. The findings substantiate our propositions. They reveal that young people's disadvantage is more salient in living in self-owned housing units than owning a housing unit, and this disadvantage has grown significantly since 2008. This study contributes to the emerging literature on housing inequality in transitional economies, particularly the housing disadvantages among young adults.

Path analysis of the awareness status and influencing factors of sarcopenia in older adults in the community: based on structural equation modeling.

Sarcopenia is a progressive geriatric syndrome that impacts older adults' quality of life. Insufficient focus has been given to sarcopenia among Chinese residents, resulting in low level of sarcopenia awareness. This study aims to investigate awareness of sarcopenia and its influencing factors and the influencing pathways among older adults in Hangzhou. A stratified random sample of 942 community-dwelling older adults was evaluated using the SARC-CalF screening tool, along with a questionnaire based on health ecology theory to assess awareness of sarcopenia and its influencing factors and the influencing pathways. Descriptive statistics, linear regression analysis, and path analysis were conducted using SPSS 25.0 and Amos 23.0 to analyze the data. The mean awareness score for sarcopenia was 60.26 ± 7.31. Self-rated physical health, daily intake of high-quality protein, exercise frequency, smoking status, self-efficacy, religious beliefs, social support, education level, occupation, participation in community free medical examinations, and awareness of nutrition policy were all factors affecting scores for sarcopenia awareness (p < 0.05). Except for negative effects observed in social support, smoking status, and self-rated physical health, all others exhibit positive effects. Community healthcare institutions should target populations with low awareness of sarcopenia and focus on these key factors. Diverse health education programs and multi-channel screening activities can promote awareness, guide healthy lifestyles and prevent or delay the onset of sarcopenia in the older.

Social cost of lifestyle adaptation: Air pollution and outdoor physical exercise

The social cost of environmental hazards depends on the well-being impacts of both exposure and adaptation. While the monetary expenditure of adaptation is increasingly considered, little research assesses the social cost associated with non-market lifestyle adaptation. Based on a longitudinal database of 27 million exercise records of 243,395 Chinese residents, I present evidence that urbanites limit their outdoor physical exercise in response to air pollution. Employing imported pollution from upwind cities as instrumental variable, I estimate that heavy air pollution leads to a 28% reduction in urbanites’ outdoor exercise likelihood. Information plays a crucial role as behavioral moderator: (i) Outdoor exercise rate plummets at the “heavy pollution” threshold and during the issuance of alerts; (ii) Residents in well-educated neighborhoods exhibit more than double the responsiveness to air pollution and alerts due to their greater awareness of pollution-related health risks. I discuss the health costs associated with this adaptation behavior and policy implications.

Distinguishing urban-rural difference in Chinese population exposure to ambient air pollutants

Using outdoor concentrations as surrogates of human exposure to ambient air pollutants introduces significant errors, as people spend the majority of their lives indoors. The infiltration factor and exposure factor are widely employed to modify outdoor-originated air pollution exposure. However, previous studies of the Chinese population lacked sufficient data on rural residents, limiting the representativeness and accuracy of the results. Here, we modeled the infiltration factor and exposure factor of five ambient air pollutants (NO2, SO2, O3, PM2.5 and PM10) in both rural and urban areas across 31 Chinese provinces and conducted field experiments in Beijing, Yunnan, Guizhou and Sichuan Provinces for 8 months to validate the modeling results. The infiltration factor and exposure factor vary between different air pollutants, with the exposure factor of PM2.5 reaching 70% for rural residents. Additionally, we found significant regional, seasonal, gender, and age differences between the urban and rural modification factors: infiltration and exposure factors in rural areas are generally greater than those in urban areas, especially in Northeast China; and the urban‒rural exposure disparity is most pronounced during winter, with a relative difference of up to 28% for SO2. The results are expected to be applied to modify population exposure to ambient air pollutants among Chinese urban and rural residents, promote accurate estimations of population health risks and further contribute to the implementation of targeted interventions.

Leisure class stratification among Chinese residents: Evidence from the CGSS

Amidst rapid societal progression in China, leisure has become a crucial component of Chinese residents’ daily lives. However, the unequal distribution of social resources across social strata significantly affects their leisure patterns and practices. This study utilizes data from the Chinese General Social Survey (CGSS) spanning 2006, 2010, and 2017, analyzing the frequency and types of leisure engagement as dependent variables through mean, variance, and OLS regression analyses. The findings indicate considerable leisure stratification within Chinese society, both subjectively and objectively; there are significant differences in leisure participation frequency and type among different social strata, particularly in developed leisure activities. The conclusions of this study may aid in understanding the current state of leisure class stratification among Chinese residents, while its practical recommendations could help mitigate the issues of leisure stratification within Chinese society.

Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study.

Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future. This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China. This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM). A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P＜.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P＜.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants. The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine's benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.

The Plastic-Reduction Behavior of Chinese Residents: Survey, Model, and Impact Factors

The persistent generation of plastic waste represents a critical environmental challenge. Despite the implementation of various management policies spanning from usage to disposal that are aimed at incentivizing plastic reduction, the accumulation of plastic debris continues to pose a significant threat to both terrestrial and marine ecosystems. Moreover, this environmental issue adversely impacts economic development and human health. This study seeks to analyze the influencing factors of plastic-reduction behavior at the individual level. Through a diverse sample of 869 participants across 29 provincial-level administrative regions, this research utilizes structural equation modeling to elucidate the intricate factors influencing plastic-reduction behaviors. This study examines the factors influencing plastic-reduction behavior through the frameworks of economic savings and spiritual satisfaction, focusing on two specific behavioral intentions: economically driven behavior and spiritually driven persuasive behavior. Results show that the primary motivator for plastic reduction is the decrease in individual expenses. Environmental values and policy regulations have become important influencing factors, which also promote behaviors regarding plastic reduction through economic savings. The study distinguishes between the impacts of environmental knowledge and skills, highlighting the necessity of practical skills for effective behavior change. Moreover, the study reveals the pivotal role of local attachment in encouraging plastic-reduction actions. The urban natural environment, particularly when characterized by accessible and well-maintained features, such as lakes and rivers, can foster residents’ appreciation for the environment, thereby motivating them to engage in plastic-reduction actions to attain personal spiritual satisfaction.

Can the Digital Economy Promote Sustainable Improvement in the Quality of Employment for Chinese Residents?—Moderated Mediation Effect Test Based on Innovation Environments

Employment significantly impacts the national economy and people’s livelihoods and affects millions of households. How to effectively and sustainably improve the quality of employment for the population has thus become a key issue facing China at present. In recent years, under the strategic background of “Digital China” and “Employment Priority”, the digital economy has brought about profound changes in the efficiency, dynamics, and distribution of social production. It affects the quality of employment by creating jobs, reshaping employment patterns, and improving labor quality, but its impact and transmission path are still unclear. This research employs a multi-dimensional evaluation approach to score the digital economy and employment quality at the provincial level in China, utilizing data from the country’s provincial panels between 2012 and 2022, and examines the feasibility and effect pathways of the digital economy in promoting sustainable improvement in the quality of residential employment. The empirical results provide ample evidence of the significant role played by the digital economy in the sustainable improvement of the employment quality of the inhabitants. Regions with more robust innovation environments tend to benefit more from this impact, and there are discernible regional variations in the impact. The upgrading of industrial structure mediates this process, and the influencing mechanism is regulated by the innovation environment—that is, the innovation environment exerts a facilitating influence on the process of industrial restructuring. The findings herein offer novel insights into the intrinsic mechanism of the digital economy in promoting sustainable improvement in the quality of residential employment.

General mental ability testing and adverse impact in the United Kingdom: a meta-analysis with more than two million observations

ABSTRACT We review ethnic group differences on high-stakes General Mental Ability (GMA) tests based on 21st century UK data. Thereafter, we meta-analyse scores on 23 occupational, public sector, educational, military, or general-public selection tests, with a sample size exceeding two million. Relative to White GMA, the grand meta-analytic effect sizes (Cohen’s d) by major ethnic groups were: Mixed d = .14 (k = 24, N = 67,114), Blacks d = .65 (k = 32, N = 112,975), Asians d = .33 (k = 32, N = 311,695), and Other d = .49 (k = 24, N = 42,846). Further, although Chinese residents outscored White British residents (d = −.15, k = 20, N = 18,897), all other Asian ethnic groups scored slightly to substantially lower. For example, South Asians as a whole averaged d = .37; k = 13, N = 67,566. By subgroups, these averages were: Indians (d = .17, k = 10, N = 28,236), Pakistanis (d = .49, k = 9, N = 19,371), and Bangladeshi (d = .55, k = 7, N = 19,772). Implications for practice and theory are discussed.

Trends and projection of burden on lung cancer and risk factors in China from 1990 to 2060.

Lung cancer (LC) is currently the number one malignancy death rate disease in China, and its disease burden is serious. The study aimed to analyze trends of LC and its risk factor attributable disease in China from 1990 to 2019 and predict the next 41 years. The average annual percentage change (AAPC) was used to analyze the trend of LC and its risk factor attributable incidence, deaths, and disability-adjusted life years (DALYs) rate in China from 1990 to 2019, collected in the Global Burden of Disease 2019. Cochran-Armitage trends examine trends in lung cancer disease burden by sex, age, and attributable risk factor groups in China from 1990 to 2019. In addition, based on data on death and DALYs rate due to LC and its risk factors between 1990 and 2019, an autoregressive integrated moving average (ARIMA) model was developed to predict the change in the trend of burden of disease due to LC and its risk factors over the next 41 years, and the model was evaluated using the model parameters root mean square error, mean absolute error, and mean absolute percentage error. From 1990 to 2019, the incidence, mortality and DALYs of LC were all increased. Among the eight risk factors associated with lung cancer, the DALYs rate and mortality rate of lung cancer risk factors for Chinese residents increased from 1990 to 2019, except for household air pollution from solid fuels and diet low in fruit, which showed a decrease; among them, the DALYs rate and mortality rate due to ambient particulate matter pollution showed the greatest increase with AAPC values of 2.880 and 3.310, respectively, while DALYs and mortality rates due to household air pollution from solid fuels showed the largest decreases, with AAPC values of -4.755 and -4.348, respectively. The results of the ARIMA model predictions show that both the mortality rate and the rate of DALYs for lung cancer are increasing yearly, and it is predicted that the rate of DALYs for lung cancer by 2060 will reach 740.095/100 000 and the mortality rate will reach 35.151/100 000. It is expected that by 2060, the top four risk factors for lung cancer in China will be, in order of DALYs rate and mortality rate, smoking, ambient particulate matter pollution, high fasting plasma glucose (HFPG), and secondhand smoke, with HFPG showing the greatest increase. The LC burden increased from 1990 to 2019 in China, the LC burden that could be attributed to HFPG will continue to increase in the next 40 years, and will be the third most factor by 2060. Targeted interventions are warranted to facilitate the prevention of LC and improvement of health-related quality of life patients with LC.

Unveiling the link: Neonicotinoids and elevated cardiometabolic risks in Chinese rural residents–from a prospective cohort study combing mendelian randomization study

PurposeThis study aimed to evaluate the relationships of separate and mixed exposure of neonicotinoids on cardiometabolic risk at baseline and follow-up and its change over 3 years, and further explore whether inflammatory markers levels and platelet traits (PLT) mediate these relationships. MethodsIn this prospective cohort study from the Henan Rural Cohort Study, 2315 participants were involved at baseline, and 1841 participants completed cardiometabolic risk predictors determinations during the 3-year follow-up. Each neonicotinoid pesticide was normalized to imidacloprid (IMIeq) using the relative potency factor approach. Quantile-based g-computation (Qgcomp) regression was used to evaluate the effect of the mixtures of neonicotinoids mediation analysis was employed to explore whether inflammatory markers levels and platelet traits mediated these relationships. A two-sample mendelian randomization (MR) study was further used to causal association. ResultsQgcomp regression revealed a statistically positive relationship between neonicotinoids mixture exposure and cardiometabolic risk score at baseline and follow-up over 3 years. Both neutrophils/monocytes and PLT were mediators in the relationship between IMIeq and cardiometabolic risk score at baseline and follow-up over 3 years. The causal risk effect of pesticide exposure were 2.50 (0.05, 4.95) and 5.24 (1.28, 9.19) for cardiometabolic risk indicators including insulin resistance and triglyceride, respectively. Nevertheless, there was no correlation discovered between pesticide exposure and other markers of cardiometabolic risk. ConclusionNeonicotinoid insecticides exposure was connected to an increased cardiometabolic risk, especially in individuals with T2DM. Furthermore, inflammatory markers and PLT seem to be two vital mediators of these associations. Additionally, genetic evidence on pesticide exposure and cardiometabolic risk still needs to be validated by multiregional and multiethnic GWAS studies.