Cancer situation in China: what does the China cancer map indicate from the first national death survey to the latest cancer registration?

BACKGROUND: Over the past four decades, the Chinese government has conducted three surveys on the distribution of causes of death and built cancer registration. In order to shine a new light on better cancer prevention strategies in China, we evaluated the profile of cancer mortality over the forty years and analyzed the policies that have been implemented. METHODS: We described spatial and temporal changes in both cancer mortality and the ranking of major cancer types in China based on the data collected from three national surveys during 1973-1975, 1990-1992, 2004-2005, and the latest cancer registration data published by National Central Cancer Registry of China. The mortality data were compared after conversion to age-standardized mortality rates based on the world standard population (Segi's population). The geographical distribution characteristics were explored by marking hot spots of different cancers on the map of China. RESULTS: From 1973 to 2016, China witnessed an evident decrease in mortality rate of stomach, esophageal, and cervical cancer, while a gradual increase was recorded in lung, colorectal, and female breast cancer. A slight decrease of mortality rate has been observed in liver cancer since 2004. Lung and liver cancer, however, have become the top two leading causes of cancer death for the last twenty years. From the three national surveys, similar profiles of leading causes of cancer death were observed among both urban and rural areas. Lower mortality rates from esophageal and stomach cancer, however, have been demonstrated in urban than in rural areas. Rural areas had similar mortality rates of the five leading causes of cancer death with the small urban areas in 1973-1975. Additionally, rural areas in 2016 also had approximate mortality rates of the five leading causes with urban areas in 2004-2005. Moreover, stomach, esophageal, and liver cancer showed specific geographical distributions. Although mortality rates have decreased at most of the hotspots of these cancers, they were still higher than the national average levels during the same time periods. CONCLUSIONS: Building up a strong primary public health system especially among rural areas may be one critical step to reduce cancer burden in China.

A non-traditional dietary pattern increases risk of coronary artery disease in the Nepalese population.

OBJECTIVES: Several dietary patterns are associated with cardiovascular diseases. Traditional, Western, Mediterranean, and vegetarian are common dietary patterns, derived from principal component analysis (PCA) of dietary food intakes associated with cardiovascular diseases; however, these patterns were derived mostly from the diet habits of people in Western and European countries. Therefore, the present study aimed to determine dietary patterns linked with coronary artery disease (CAD) in the Nepalese population. METHODS: Food frequency questionnaires were used to estimate dietary intakes in 306 people with CAD and 306 people in a control group matched for age and sex. PCA was performed to deduce the dietary patterns, and conditional logistic regression was executed to determine the association of the dietary patterns with CAD. RESULTS: The component of PCA with higher loadings of refined grain, sugar, and meat and lower loadings of milk, whole grain, and fruit was named the non-traditional dietary pattern in the present study. We found a 34% increased risk of CAD (odds ratio, 1.34; 95% confidence interval, 1.14-1.58; P < 0.001) associated with this dietary pattern after adjusting for smoking, physical activity, and cardiometabolic risk factors. Dietary-pattern scores were further categorized into tertiles, and the third tertile was observed with significanly higher odds of CAD than the first tertile (odds ratio, 2.32; 95% confidence interval, 1.3-4.14; P for trend = 0.004). CONCLUSIONS: PCA-derived non-traditional dietary patterns can be a risk for developing CAD in Nepalese people. However, further cohort studies or randomized community trials are suggested to confirm our findings.

Investigation of the relationships between sleep behaviors and risk of healthspan termination: a prospective cohort study based on 323,373 UK-Biobank participants.

OBJECTIVES: To examine the associations between four sleep behaviors and the risk of healthspan termination. METHODS: This study included 323,373 participants, free of terminated healthspan at baseline, from the UK-Biobank (UKB). We applied multivariable-adjusted Cox regression models to estimate the risk of terminated healthspan based on four sleep behaviors (insomnia/sleeplessness, napping, daytime sleepiness, and difficulty getting up from bed), which were self-reported and measured on Likert scales from "usually" to "never/rarely" experiences. In this study, healthspan was defined based on eight events that are strongly associated with longevity (congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, diabetes, cancer, and death). RESULTS: Participants who reported the following unhealthy sleep behaviors had a significantly higher risk of terminated healthspan: "usually experience sleeplessness/insomnia" (HR = 1.05, 95% CI: 1.03-1.07; P < 0.001); "usually nap" (HR = 1.22, 95% CI: 1.18-1.26; P < 0.01); "excessive daytime sleepiness" (HR = 1.25, 95% CI: 1.19-1.32; P < 0.001); and "difficult getting up from bed" (HR = 1.08, 95% CI: 1.05-1.10; P < 0.001). The corresponding population attributable risk percentage (PAR%) indicated that about 7% of healthspan termination in this cohort would have been eliminated if all participants had healthy sleep behaviors. CONCLUSION: Participants who reported "usually experience sleeplessness/insomnia," "usually nap," "excessive daytime sleepiness," and "difficult getting up from bed" had increased risk of shortened healthspan. Therefore, adherence to healthy sleep behavior is significant for the extension of healthspan.

Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants.

OBJECTIVE: To examine the associations between sleep quality and health span using a prospective cohort design based on the UK Biobank (UKB). MATERIALS AND METHODS: This longitudinal cohort study enrolled 328,850 participants aged between 37 and 73 years from UKB to examine the associations between sleep quality and risk of terminated health span. End of health span was defined by eight events strongly associated with longevity (cancer, death, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes), and a sleep score was generated according to five sleep behavioral factors (sleep duration, chronotype, sleeplessness, daytime sleepiness, and snoring) to characterize sleep quality. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by multivariate-adjusted Cox proportional hazards model. Moreover, we calculated population attributable risk percentage (PAR%) to reflect the public health significance of healthy sleep quality. RESULTS: Compared with poor sleep quality, participants with healthy sleep quality had a 15% (HR: 0.85, 95% CI: 0.81-0.88) reduced risk of terminated health span, and those of less-healthy sleep quality had a 12% (HR: 0.88, 95% CI: 0.85-0.92) reduced risk. Linear trend results indicated that the risk of terminated health span decreased by 4% for every additional sleep score. Nearly 15% health span termination events in this cohort would have been prevented if a healthy sleep behavior pattern was adhered to (PAR%: 15.30, 95% CI: 12.58-17.93). CONCLUSION: Healthy sleep quality was associated with a reduced risk of premature end of health span, suggesting healthy sleep behavior may extend health span. However, further studies are suggested for confirmation of causality and potential mechanism.

Causal effects of dietary calcium, zinc and iron intakes on coronary artery disease in men: G-estimation and inverse probability of treatment weighting (IPTW) analyses.

BACKGROUND & AIMS: Dietary minerals have significant effects on the risk of cardiovascular disease. However, the results of previous studies were not uniform across different countries. The current study aims to determine the causal effects of dietary calcium, zinc, and iron intakes on coronary artery disease (CAD) among Nepalese men. METHODS: A matched case-control study was carried out at Shahid Gangalal National Heart Center. Dietary intakes of 466 male participants over the past 12 months were evaluated using a semi-quantitative customized food frequency questionnaire. G-estimation and inverse probability treatment weighting (IPTW) analyses were performed to determine the causal odds of CAD due to dietary calcium, zinc, and iron intakes. RESULTS: Daily dietary calcium, zinc, and iron intakes were categorized into two groups: less than versus more than the median value and less than versus equal or more than recommended daily allowance (RDA). In G-estimation, dietary calcium intake was inversely associated with CAD in both medians (OR: 91; 91%CI: 0.86, 95) and RDA categories (OR: 0.88: 95%CI: 0.84, 0.97). However, in IPTW analysis, only median calcium intake was significantly associated with CAD (OR: 7; 91%CI: 0.5, 98). We observed a significant inverse association of equal or more than RDA of dietary zinc intake with CAD (OR: 0.91: 95%CI: 0.87, 0.96 in G-estimation, OR: 0.73: 95%CI: 0.66, 0.82 in IPTW); however, more than median dietary zinc intake showed inverse but not significant association with CAD in both analyses. Dietary iron intake was inversely but not significantly associated with CAD in G-estimation in both groups. Nevertheless, in IPTW analysis, equal or more than RDA iron intake was significantly positively (OR: 1.4; 95%CI: 1.14, 1.73) related to CAD. CONCLUSIONS: A significant inverse association of dietary zinc intake above RDA indicates the potential protective effect of higher dietary zinc against CAD. However, causal odds of CAD are inconsistent across the median or RDA of calcium and iron intakes. Therefore, cohort and randomized clinical trial studies with a large sample size are recommended to substantiate these nutrients' causal link with CAD development in the Nepalese population.

HDL cholesterol: A potential mediator of the association between urinary cadmium concentration and cardiovascular disease risk.

Evidence from previous studies has shown that exposure to metals is associated with cardiovascular disease (CVD). However, the association between metal mixtures and CVD risk and the potential mechanisms in epidemiologic studies remain unclear. The data of 14,795 adults who participated in the U.S. National Health and Nutrition Examination Survey (NHANES) 1999-2016 were analyzed. Multivariate logistic regression was performed to investigate the associations between urinary metal levels and CVDs. Weighted quantile sum (WQS) regression was performed to examine the effects of mixed metals on CVDs. Multivariate linear regression and mediation analysis were conducted to explore the associations between metals and blood lipids. Urinary cadmium (Cd) was significantly associated with an increased total CVD risk and with individual CVD risk. The odds ratio (OR) for CVD in the highest quartile of the WQS index was 1.43 (95% confidence interval [CI]: 1.19, 1.71). One augmented urinary Cd concentration unit (Log10) was associated with a 0.93 mg/dL decrease in HDL cholesterol, a 1.34 mg/dL increase in LDL cholesterol and a 1.30 mg/dL increase in total cholesterol in the fully adjusted model. Mediation analysis showed that HDL cholesterol mediated 4.91% of the association between urinary Cd and the prevalence of CVD. Our findings suggest that urinary Cd and metal mixtures were significantly and positively associated with CVD. The downregulation of HDL cholesterol might play a significant role in mediating Cd exposure-associated CVD risk increases.

Levels of a mixture of heavy metals in blood and urine and all-cause, cardiovascular disease and cancer mortality: A population-based cohort study.

People are exposed to heavy metals in many ways during the course of their daily life. However, the effect of mixtures of heavy metals on mortality in the U.S. general population is unclear. We aimed to investigate the association between heavy metal concentrations (blood [lead, cadmium and mercury] and urine [barium, cadmium, cobalt, cesium, molybdenum, lead, antimony, titanium, tungsten and uranium]) and all-cause, cardiovascular disease (CVD) and cancer mortality. Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999-2014. Poisson regression was performed to analyze the associations between single-metal and multimetal exposure and mortality. The following variables were adjusted as covariates: demographic variables (age, education, sex and ethnicity), anthropometric variables (body mass index), lifestyle variables (family income, serum cotinine category and physical activity) and medical comorbidities (CVD and diabetes). A total of 26,056 subjects from the NHANES were included in the present study (mean follow-up, 7.4 years). The age of the participants ranged from 20 to 85 years. The blood metal mixture was associated with all-cause mortality (RR = 1.38, 95% CI 1.25, 1.51), CVD mortality (RR = 1.43, 95% CI 1.06, 1.94) and cancer mortality (RR = 1.41, 95% CI 1.12, 1.76) and cadmium had the highest weight in the weighted quantile sum (WQS) regression for all associations. The urinary metal mixture was associated with an increased risk of all-cause (RR = 1.48, 95% CI 1.30, 1.68) and cancer mortality (RR = 1.60, 95% CI 1.02, 2.52). Sex differences were found in the associations of both blood and urine metal mixtures with cancer mortality. Our study suggests a potential positive association for the concentrations of heavy metal mixtures with overall, CVD and cancer mortality based on a large sample of the U.S. general population. Nevertheless, further studies are needed to confirm these important findings.

Association of smoking with coronary artery disease in Nepalese populations: a case control study.

There are well-known traditional risk factors for coronary artery disease (CAD). Among them, smoking is one of the most prominent and modifiable risk factors. This study aims to determine the magnitude of smoking as a risk factor for CAD in the Nepalese population. A hospital-based age- and sex-matched case-control study was carried out with a total of 612 respondents. Bivariate analysis showed that the risk of developing CAD in ex-smokers and current smokers was higher (odds ratio (OR): 1.81 (confidence interval (CI): 1.21-2.7) and OR: 5.2 (CI: 3.4-7.97)), with p-values less than 0.004 and <0.00001, respectively, compared to the risk in never smokers. From stratified socio-demographic, cardio-metabolic, behavioural and psychosocial risk factor analysis, smoking was found to be associated with CAD in almost all subgroups. In the subsequent multivariate analysis, adjustment for socio-demographic, cardio-metabolic and psychosocial risk factors showed a steady increase in risk. However, further adjustment for behavioural risk factors (alcohol use and physical activity) showed that the risk was attenuated by 59% in current smokers. After adjusting for the covariates, current smokers and ex-smokers had an increased risk of CAD (OR: 6.64, 95% CI: 3.64-12.12, p < 0.00001; OR: 1.89, 95% CI: 1.08-3.31, p < 0.012, respectively) compared with non-smokers. In conclusion, smoking was found to increase the risk of CAD in the Nepalese population.