Salt reduction behavior of adults in Anhui province in 2019: a cross-sectional survey of 3,378 participants.

Objective: A high-sodium diet is an important risk factor for hypertension in the Chinese population, which can increase the risk of cardiovascular and cerebrovascular diseases. Although a large number of related studies have been carried out in Anhui province, clear, effective salt reduction interventions and policies that can be widely promoted have not yet been formed. This study sought to understand the prevalence and precise measures of salt reduction behavior, the variables affecting salt reduction behavior, and the reasons why salt reduction behavior was not practiced in Anhui Province, China. Methods: The total number of participants in the study was 3,378. Using a multi-stage stratified cluster random sampling method, residents between the ages of 18 and 69 years in 10 counties and districts were selected from March to October 2019. A survey questionnaire and physical measurements were given to each participant. The influencing factors of residents' salt reduction behavior were examined using a multi-factor unconditional logistic regression analysis. The chi-squared (χ2) test was used to analyze the implementation of salt reduction behaviors among different age groups and gender, the factors influencing the implementation of salt reduction measures, and the reasons for not implementing salt reduction measures. Results: A history of hypertension was associated with salt reduction strategies (P = 0.014). Patients with hypertension were more likely to adopt salt reduction behaviors than those without hypertension (OR = 1.218, P = 0.040). The influence of eating out on the adoption of salt-reduction measures varied by age group (χ2 = 50.463, P < 0.001) and gender (χ2 = 81.348, P < 0.001). Conclusion: In summary, residents of the Anhui Province are not very knowledgeable about salt reduction. Age, gender, education level, hypertension, and marital status are the main determinants. Our findings have significant implications for policymakers who want to devise salt reduction strategies.

Can global or national disability weights represent provincial level?

BACKGROUND: A universal set of disability weights(DWs) is mainly based on the survey of North America, Australia and Europe, whereas the participants in Asia was limited. The debate hasn't yet settled whether a universal DW is desirable or useful.The focus of the debate is its representativenes-s.After all, the DWs come from people's subjective evaluation of pain, and they may vary according to cultural background.The differences of the DWs could have implications for the magnitude or ranking of disease burdens.The DWs of Anhui Province has not been completely presented.This paper aims to obtain the DWs suitable for the general population of Anhui Province of China, and attempts to explore the differences between different DWs by comparing the DWs with the similar-cultural background and the DWs with cross-cultural background. METHODS: A web-based survey was conducted to estimate the DWs for 206 health states of Anhui province in 2020. Paired comparison (PC) data were analyzed and anchored by probit regression and fitting loess model. We compared the DWs in Anhui with other provinces in China and those in Global burden of disease (GBD) and Japan. RESULTS: Compared with Anhui province, the proportion of health states which showed 2 times or more differences ranged from 1.94% (Henan) to 11.17% (Sichuan) in China and domestic provinces. It was 19.88% in Japan and 21.51% in GBD 2013 respectively. In Asian countries or regions, most of the health states with top 15 DWs belonged to the category of mental, behavioral, and substance use disorders. But in GBD, most were infectious diseases and cancer. The differences of DWs in neighboring provinces were smaller than other geographically distant provinces or countries. CONCLUSION: PC responses were largely consistent across very distinct settings,but the exceptions do need to be faced squarely.The differences of DWs among similar-cultural regions were smaller than cross-cultural regions. There is an urgent need for relevant gold standards.

Glycemic control and its influencing factors in type 2 diabetes patients in Anhui, China.

Objective: To investigate the status of glycemic control and analyze its influencing factors in patients with type 2 diabetes (T2D) in Anhui, China. Methods: 1,715 T2D patients aged 18-75 years old were selected from 4 counties or districts in Anhui Province in 2018, using a convenience sampling method. All patients have undergone a questionnaire survey, physical examination, and a glycosylated hemoglobin (HbA1c) test. According to the 2022 American Diabetes Association criteria, HbA1c was used to evaluate the glycemic control status of patients, and HbA1c < 7.0% was defined as good glycemic control. The influencing factors of glycemic control were analyzed by multivariate unconditional logistic regression. Results: The prevalence of good glycemic control among people with T2D in the Anhui Province was low (22.97%). On univariate analysis, gender, education level, occupation, region, smoking, drinking, waist circumference and disease duration (all P < 0.05) were significantly associated with glycemic control. The factors associated with pool glycemic control were female gender [OR = 0.67, 95%CI (0.52, 0.86), P = 0.001], higher level of education [OR = 0.47, 95%CI (0.27, 0.83), P = 0.001], living in rural areas [OR = 1.77, 95%CI (1.39, 2.26), P < 0.001], central obesity [OR = 1.58, 95%CI (1.19, 2.09), P = 0.001] and longer duration of disease [OR = 2.66, 95%CI (1.91, 3.69), P < 0.001]. Conclusions: The prevalence of good glycemic control in people with T2D in Anhui Province was relatively low, and gender, region, education level, central obesity and course of the disease were influencing factors. The publicity and education on the importance of glycemic control should be further strengthened in T2D patients, and targeted intervention measures should be carried out for risk groups.

'Love with Less Salt': evaluation of a sodium reduction mass media campaign in China.

OBJECTIVE: This study examines the impact of a salt reduction campaign on knowledge, attitudes, intentions, behaviours and barriers to behaviour change relating to salt consumption in two provinces of China. METHODS: In 2019, the 'Love with Less Salt' campaign ran on China Central Television and on local television channels in Shandong and Anhui provinces. Data for this study come from two representative household surveys conducted among a sample of adults aged 25-65 years in Shandong and Anhui provinces: precampaign (n=2000) and postcampaign (n=2015). Logistic regression was performed to estimate the effects of the campaign on knowledge, attitudes, intentions, behaviours and barriers to behaviour change. RESULTS: Overall, 13% of postcampaign respondents recalled seeing the campaign, and reactions towards the campaign were positive. Postcampaign respondents were more likely to plan to reduce their purchase of foods high in salt than precampaign respondents (OR=1.45, p=<0.05). Campaign-aware respondents were significantly more likely than campaign-unaware respondents to report higher levels of knowledge, attitudes and behaviours regarding salt reduction. CONCLUSIONS: Findings reveal that salt reduction mass media campaigns can be an effective public health tool to support efforts to reduce salt consumption in China. Continued and sustained mass media investments are likely to be effective in addressing high salt consumption nationwide.

The detection rate and influencing factors of high-risk groups of cardiovascular disease in Anhui, China: A cross-sectional study of 99,821 residents.

Objective: To investigate the detection rate and influencing factors of high-risk population of cardiovascular disease in Anhui province. Methods: From March 2017 to August 2019, the residents aged 35-75 years old were selected using the multi-stage stratified cluster sampling method in 8 counties and districts of Anhui Province, and questionnaire survey, anthropometric measurement, and collection of biological samples were carried out among them. Results: A total of 99,821 residents in Anhui Province were finally investigated, and among them 21,426 residents were detected to be high-risk groups of cardiovascular disease. The detection rate of high-risk groups was 21.46%. According to the high-risk types, the high-risk groups can be clustered. 74.57% of them had only one high-risk type, 22.57% of them had two high-risk types, and 2.86% had three or more high-risk types. The results of Generalized Linear Mixed Model (GLMM) showed that male, age ≥45 years old, not married, occupation as a farmer, annual family income <25,000 yuan, drinking, overweight and obesity, pre-central obesity and central obesity, snoring, feeling fatigued, sleepiness, and self-reported history of diabetes were more likely to be risk factors of cardiovascular disease (all P value < 0.05). Conclusion: The detection rate of high-risk groups of cardiovascular disease in Anhui Province is relatively high. Individualized intervention measures as well as comprehensive prevention and control strategies should be adopted focusing on the distribution characteristics of risk factors of high-risk groups.

[Temporal trend of probability of premature death caused by four major non-communicable diseases in Anhui province, 2014 to 2018, and the potential of achieving healthy goals].

Objective: To investigate the current status and temporal trend of probability of premature death, caused by four major non-communicable diseases (NCDs) in Anhui province, from 2014 to 2018, and to explore the possibility of achieving the goal of "Healthy China 2030". Methods: Data of death were collected from the "Information System for Death Cause Register and Management". The mortality, standardized mortality, premature mortality rate and annual percentage change (APC) were calculated. Based on the reduction target of "Healthy China 2030"(-30%) and "Healthy Anhui 2030"(-25%) for premature death probability of four major NCDs, the possibility of achieving the target was evaluated. Results: From 2014 to 2018, the proportion of four major NCDs deaths to total deaths increased from 82.76% to 84.77%, showing an upward trend(APC=0.50%). The standardized mortality rate of four major NCDs in the population aged 30-69 years was decreasing annually (APC=-1.78%). The premature death probability of four major NCDs decreased from 15.53% to 14.43% with a downward trend. The decline rate of men (APC=-1.80%) was slightly lower than that of women (APC=-2.00%). The decline rate of urban (APC=-1.57%) and rural (APC=-1.99%), Northern Anhui (APC=-2.32%) and Central Anhui (APC=-1.81%) areas were all showed a downward trend. The premature death probability in the same year was higher in men, rural areas and northern Anhui areas. The decrease of chronic respiratory diseases was the greatest (APC=-9.19%), followed by cancer (APC=-1.77%), but increased in diabetes for men (APC=-2.90%). According to the average growth rate of premature death probability from 2014 to 2018, it was predicted that the goal of healthy Anhui would be achieved by 2030. However, to achieve the goal of healthy China, the rate of decline needs to be increased by 26.40% on the existing basis. Comparing to the proportion, the descent speed needs to be increased between different genders, urban and rural areas and regions. Conclusions: The premature death probability of four major NCDs in Anhui province has a continuous downward trend. Men, rural residents and residents in northern Anhui province are the key population. We should carry out intervention against the main risk factors of NCDs, reduce the premature mortality rate of NCDs, and strive to achieve the goal of "Healthy China 2030".

Mortality and Disease Burden of Injuries from 2008 to 2017 in Anhui Province, China.

OBJECTIVE: To investigate the temporal trends in mortality and disease burden of injuries in Anhui province from 2008 to 2017, so as to provide reference for injury control and prevention. METHODS: Data of mortality were collected from 9 national surveillance points in Anhui province during 2008-2017 in the Information System for Death Cause Register and Management. The surveillance data were analyzed by using crude mortality, standardized mortality rate (SMR), potential year of life lost (PYLL), PYLL rate (PYLLR), and average of year life lost (AYLL). RESULTS: There were a total of 44855 people died from injury, accounted for 9.44% of the all-cause mortality, ranked as the fifth leading cause of deaths in the whole population, and denoted the first leading cause of deaths in the 0-44 year's group. The leading causes of injury deaths were road traffic accidents, suicide, accidental falls, drowning, and poisoning. Road traffic accidents was the primary cause of injury deaths among the male population, while suicide was the dominate cause of injury deaths among the female population. Drowning, traffic accidents, and suicide accounted for the most injury deaths among the population aged 0-14 years, 15-64 years, and above 60 years, respectively. The road traffic accidents accounted for the largest proportion of injury PYLL and PYLLR, and drowning caused the highest AYLL among injury deaths. CONCLUSION: In Anhui province, road traffic accidents, suicide, accidental falls, drowning, and poisoning were the top five causes of injury deaths that harm the health of local residents; corresponding injury prevention strategies should be formulated.

Prevalence and risk factors of chronic obstructive pulmonary disease in Anhui Province, China: a population-based survey.

BACKGROUND: The prevalence of chronic obstructive pulmonary disease (COPD) in Anhui Province of eastern China remain uncertain. The present study provides the first estimate of the prevalence and risk factors of COPD in Anhui. METHODS: A population-based survey was conducted in a representative sample of population aged 40 years or older in 2015. COPD was diagnosed based on 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. RESULTS: A total of 2770 participants had reliable post-bronchodilator results and were included in the final analysis. The overall prevalence of COPD was 9.8% (95% CI: 8.2, 11.7). Prevalence was higher in men (14.8, 95% CI: 12.6, 17.2) than it was in women (5.2, 95% CI: 3.1, 8.7). Among adults with COPD, 45.0% (95% CI: 39.1, 51.0) had moderate or severe disease (GOLD stage II-IV), 0.7% (95% CI: 0.2, 2.9) reported that they had a previous pulmonary function test, and only 0.4% (95% CI: 0.1, 2.6) knew their diagnosis of COPD. Risk factors for COPD included older age (OR 1.06, 95% CI: 1.04, 1.08), male sex (OR 2.01, 95% CI: 1.22, 3.33), current smoking status (OR 2.63, 95% CI: 1.86, 3.73), primary school or lower education (OR 1.61, 95% CI: 1.12, 2.31), family history of lung disease (OR 1.50, 95% CI: 1.17, 1.93), and indoor exposure to coal for cooking or heating (OR 1.55, 95% CI: 1.11, 2.15). In addition, people in north region has a significantly higher risk for developing COPD than people in south region of Anhui (OR 1.98, 95% CI:1.44, 2.71). CONCLUSIONS: COPD is prevalent in Anhui and the prevalence is highest in north region. Strategies aiming at prevention, early detection and treatment of COPD are urgently needed to reduce COPD-related burden.

eCROPS-CA: a systematic approach toward effective and sustainable cancer prevention in rural China.

BACKGROUND: Effective prevention against cancers depends heavily on sustained individual efforts practicing protective behaviors and avoiding risk factors in a complex sociocultural context, which requires continuous and personalized supports. Contemporary prevention relies primarily on strategies targeting general population with limited attention being paid to individualized approaches. This study tests a novel package called, in acronym of core intervention components, eCROPS-CA that leverages protective behaviors against over 80% leading cancers among high risk individuals via continuous and tailored counseling by village doctors. METHODS/DESIGN: The study utilizes a quesi-RCT design involving 4320 high risk individuals selected, via rapid and detailed risk assessments, from about 72,000 farmers aged 35+ in 36 administrative villages randomized into equal intervention and delayed intervention arms. The intervention arm receives baseline and semiannual follow up evaluations plus eCROPS-CA for 5 years; while the control arm, only the baseline and follow-up evaluations for the first 5 years and eCROPS-CA starting from the 6(th) year if the intervention is proved effective. eCROPS-CA comprises electronic supports and supervision (e), counseling cancer prevention (C), recipe for objective behaviors (R), operational toolkit (O), performance-based incentives (P), and screening and assessment (S). Evaluation measures include: incidence and stage of the leading cancers, cancer-related knowledge, attitudes and practices; easy biophysical indicators (e.g., body mass index, blood pressure); intervention compliance, acceptance of the package. DISCUSSION: The prevention package incorporates key success factors in a synergetic way toward cost-effectiveness and long-term sustainability. It targets a set rather than any single cancer; choses village doctors as key solution to the widespread lack of professional manpower in implementing personalized and thus relatively sophisticated prevention; adopts real-time monitoring in reaching continuous improvement; utilizes smart web aids to enable prioritizing complex determinants of objective behaviors, linking counseling sessions happened at different time points and hence delivering highly coordinated prevention; uses 2-stage risk assessment models in identifying high risk individuals so as to focus on the most needed; applies standardized operation procedures in simplifying and smoothing behavior intervention yet ensuring delivery of essential steps and key elements. TRIALS REGISTRY: ISRCTN33269053.

[Analysis on death causes of residents in Anhui province, 2013].

OBJECTIVE: To analyze the demographic characteristics and the death causes of the residents in Anhui province, and provide evidence for the disease prevention and control. METHODS: Using descriptive epidemiological analysis, the demographic characteristics and death data of the national disease surveillance points (DSPs) in Anhui province in 2013 were analyed by areas. RESULTS: The aging of the population was observed in all the areas in Anhui, which was most obvious in Jianghuai, followed by Wannan and Huaibei. The overall mortality was 627.10/100 000. The mortalities of diseases varied with sex, area and age. Among the 3 areas, the overall mortality, chronic disease mortality and injury mortality were highest in Huaibei and lowest in Wannan. The area specific difference in mortality of infectious diseases was small. Regardless of areas or the types of diseases, the mortality was higher in males than in females. Deaths caused by diseases with unknown origins were common in residents aged >65 years. The mortality of chronic diseases was higher in residents aged >45 years, especially in those aged 65-84 years. The mortality of injuries was higher in age groups >15 years and >45 years. The mortality of infectious diseases peaked at both young age group and old age group. The top five death causes were cerebrovascular diseases, malignant tumors, heart diseases, respiratory diseases and injuries. Regardless of sex or area, the major death causes were similar, but the ranks were slightly different. The major death causes varied in different age groups, but they were similar in same age group in different areas. The major death causes were diseases originated in perinatal period, and congenital malformations, deformations and chromosomal abnormalities in children aged <1 year. The major death causes in children aged 1-14 years were injuries, diseases originated in perinatal period, congenital malformations, deformations and chromosomal abnormalities. Injuries and malignant tumors were the first and second death causes in residents aged 15-44 years. Malignant tumors, injuries, cerebrovascular diseases and heart diseases were the major death causes in residents aged 45-64 years. The major death causes were cerebrovascular diseases, malignant tumors, heart diseases and respiratory diseases in residents aged 65-84 years and heart diseases, cerebrovascular diseases, respiratory diseases and malign tumors in residents aged≥85 years. CONCLUSION: The major death causes in residents in Anhui province were cerebrovascular diseases, malignant tumors and injuries. Close attention should be paid to the prevention and control of cerebrovascular diseases, malignant tumors and heart diseases in age group≥45 years. It is necessary to strengthen the prevention and control of injuries in age group 15-44 years. Huaibei is a key area of disease prevention and control in Anhui, especially chronic disease and injury preventions.

[Association between mortality rate of hepatic carcinoma and the distance from Suihe River in Lingbi county, Anhui province].

OBJECTIVE: To explore the association between mortality rate of hepatic carcinoma and the distance from Suihe River in Lingbi county, Suzhou, Anhui province. METHODS: Using the disease mapping and spatial statistical analysis techniques,we described the spatial distributions of the mortality rate of hepatic carcinoma from 2005 to 2010 in Lingbi county. Taking the distance between villages and polluted rivers as proxy variable of environmental exposure, mortality rate of hepatic carcinoma in each village as dependant variable, and using the Glimmix model and Bayesian spatial model (BYM) to undertake the univariate and multivariate analysis, we investigatived the association between mortality rate of hepatic carcinoma and the water pollution of Suihe River in Lingbi county. RESULTS: Obvious clustering of high mortality rate of hepatic carcinoma along the polluted river was observed in Lingbi county. Results of Glimmix model showed that whether spatial autocorrelation was considered or not, closer to the polluted river has higher mortality rate of hepatic carcinoma. Results of univariate analysis of the BYM model showed that, compared with the villages far from the polluted river more than 12 km (the mortality rate of hepatic carcinoma was 33.12/100 000(1068/3 224 562) ), the RR values of the hepatic carcinoma mortality was 1.38(95%CI:1.06-1.82) for the villages apart from the polluted river within 6 km (the mortality rate of hepatic carcinoma was 42.48/100 000(777/1 829 064)), and 1.13 (95%CI:0.92-1.39) for villages apart from the river between 6 and 12 km (the mortality rate of hepatic carcinoma was 35.65/100 000(651/1 825 848)). In the BYM model multivariate analysis, adding the volume of fertilizer and pesticides used per cultivated area, GDP per capita to do multivariate analysis were, the relation between mortality rate of hepatic carcinoma and distance from polluted rivers remains unchanged. CONCLUSION: The mortality rate of hepatic carcinoma was associated with the exposure to the polluted river in Lingbi county. The polluted river may increase the hepatic carcinoma mortality of nearby residents.