The effect of health literacy on health status among residents in Qingdao, China: a path analysis.

BACKGROUND: Health literacy is a public health goal which can be used as an independent factor of health outcomes. This study aimed to assess the association between health literacy and health status, as well as the two mediating factors of behavior and self-efficacy among residents aged 15-69 years in Qingdao. METHODS: A cross-sectional survey was implemented among residents aged 15-69 years (N = 3793) in Qingdao, China. A combination of stratified cluster random and proportional probability sampling methods was used to select subjects for this study. Data were collected using "The Chinese Citizen Health Literacy Questionnaire (2019)". We proposed a hypothetical model for the relationship between sociodemographic characteristics, health literacy, self-efficacy, health behavior, and health status, and used path analysis to validate the hypothesis. RESULTS: The path analysis showed that higher education (ß = 0.293) and income (ß = 0.135) are positively and directly associated with greater health literacy, which was positively associated with health status (ß = 0.057). Health literacy is a direct influencing factor of health behavior (ß = 0.070) and self-efficacy (ß = 0.099). Health behavior (ß = 0.041) and self-efficacy (ß = 0.173) exerted a positive direct effect on health status. The model explained 14.1% of variance for health literacy, 3.8% for self-efficacy, 5.7% for health behavior, and 15.0% for health status. CONCLUSIONS: Health literacy was identified to be a critical factor in health status. The results emphasized that the dissemination of health knowledge, development of healthy behavior, and cultivation of self-efficacy should be jointly promoted to reinforce the level of health status among residents in future work.

Predicting the mortality of smoking attributable to cancer in Qingdao, China: A time-series analysis.

Smoking is the leading preventable cause of death and disability from cancer in China. To provide a scientific basis for tobacco control strategies and measures, this study investigated cancer deaths attributed to smoking from 2005 to 2017 and predicted mortality trends from 2018 to 2020 in Qingdao. We used time series analysis to evaluate the number of deaths attributed to smoking among residents over 35 years old in Qingdao and predicted mortality trends. The number of cancer deaths attributed to smoking in Qingdao from 2005 to 2016 was between 170 and 407, showing an upward trend and a certain periodicity. The best model is the ARIMA (2,1,0)×(3,1,0)12, with the lowest BIC (6.640) and the highest stationary R2 (0.500). The predicted cancer deaths curve attributed to smoking in 2017 is consistent with the actual curve, with an average relative error of 5.74%. Applying this model to further predict the number of cancer deaths attributed to smoking in Qingdao from January 2018 to December 2020, the predicted results were 5,249, 5,423 and 6,048, respectively. The findings emphasized the need to further strengthen tobacco control measures to reduce the burden of disease caused by tobacco.

Value of ABCG2 Q141K and Q126X genotyping in predicting risk of preeclampsia in Chinese Han women population.

Hyperuricemia (HUA) in women with preeclampsia (PE) not only indicates a reminder of severity but also contributes directly to the pathogenesis of PE. ATP-binding cassette subfamily G member 2 (ABCG2) has a very strong effect on the serum urate concentrations. Our aim was to investigate the association between polymorphisms of ABCG2 with PE in Chinese Han female population. A cohort of 793 preeclamptic women (466 PE with HUA and 327 PE without HUA) and 744 normal pregnant women recruited in this study were genotyped for genetic distribution of Q141K (rs2231142) and Q126X (72552713) in ABCG2 by the TaqMan allelic discrimination real-time PCR. There was no statistically significant difference of genotypic and allelic frequencies between PE and the normal pregnant women in Q141K (Χ2 = 1.11, P = 0.58 by genotype; Χ2 = 0.32, P = 0.57 by allele) and Q126X (P = 0.33 by genotype; P = 0.33 by allele), and no significant difference was found in the genetic distribution of Q141K and Q126X between PE with HUA, PE without HUA and controls. Additionally, this study observed no significant difference in genotypic and allelic distribution between early/late-onset PE with/without HUA or mild/severe PE with/without HUA and control subgroups. Based on our findings, the ABCG2 Q141K and Q126X polymorphisms may not be associated with PE in Chinese Han women.

Cancer mortality attributable to cigarette smoking in 2005, 2010 and 2015 in Qingdao, China.

INTRODUCTION: Cigarette smoking is among the most important public health concerns worldwide and the leading preventable cause of illness and death associated with cancer, chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD). Although Qingdao, China implemented smoking control measures in 2007 and smoke-free legislation in 2013, smoking-attributable cancer mortality remains at a high level. The present study aimed to facilitate changes in policy-making, intervention implementation, monitoring and evaluation by estimating and comparing the burden of smoking-attributable cancers in Qingdao during 2005, 2010 and 2015. METHODS: This study used the disease list from the Global Burden of Disease (GBD) study to quantify the burden of smoking-related cancer. Sex and age-specific smoking-attributable mortality data were collected from the Qingdao Municipal Center for Disease Control and Prevention using an online reporting system. The population-attributable fractions (PAFs) of smoking and smoking-attributable cancer mortality in 2005, 2010 and 2015 were estimated using the smoking impact ratio (SIR) and relative risks (RRs) and by multiplying the smoking-attributable fraction by total cancer mortality, respectively. RESULTS: The numbers of smoking-attributable cancer deaths increased from 2484 in 2005 to 2999 in 2010 and 4148 in 2015, with corresponding PAFs of 26.41%, 25.76% and 29.13%, respectively. The PAFs were higher among men (vs. women) for all cancers except cervical cancer. In 2005, lung, liver, esophageal and stomach cancers were most frequently associated with smoking-associated cancer mortality, and lung cancer had the greatest PAF, followed by nasopharyngeal, oral and esophageal cancers. Similar patterns were observed in 2010 and 2015. In 2015, 1 in 3 and 1 in 5 cancer deaths in men and women, respectively, were attributable to smoking, and 95% of these deaths were associated with lung, liver, esophageal or stomach cancer. Over time, downward and upward trends in smoking-attributable cancer deaths were respectively observed among people younger than and older than 50 years. CONCLUSIONS: The smoking-attributable cancer burden in Qingdao remains considerable, despite the implementation of tobacco control and smoke-free measures. Tobacco control efforts should remain a major public health priority.

Mortality and Burden of Disease Attributable to Cigarette Smoking in Qingdao, China.

In China, smoking is the leading preventable cause of deaths by a disease. Estimating the disease burden attributable to smoking contributes to an evaluation of the adverse impact of smoking. To aid in policy change and implementation, this study estimated the population-attributable fractions (PAFs) of smoking, the all-cause mortality and the loss of life expectancy attributable to smoking in 2014 of Qingdao. PAFs were calculated using the smoking impact ratio (SIR) or current smoking rate (P) and relative risk (RR). We determined the smoking-attributable mortality by multiplying the smoking-attributable fraction by the total mortality. This study used the method of an abridged life table to calculate the loss of life expectancy caused by smoking. Smoking caused about 8635 deaths (6883 males, 1752 females), and accounted for 16% of all deaths; 22% in males and 8% in females. The leading causes of deaths attributable to smoking were lung cancer (38%), ischemic heart disease (19%) and chronic obstructive pulmonary disease (COPD, 12%). The PAF for all causes was 22%; 30% in males and 10% in females. Tobacco use may cause a reduction of about 2.01 years of the loss of life expectancy; 3 years in males and 0.87 years in females. The findings highlight the need for taking effective measures to prevent initiation and induce cessation.