OBJECTIVETo conduct a survival analysis of gastric cancer patients according to the data of population-based cancer registry during 2005-2010 in Zhejiang Province in order to provide information for prognosis assessment and control of this disease.

METHODSThe deadline of the last follow-up of 26, 536 patients was December 31st, 2012. Cumulative observed survival rate (OSR) and expected survival rate were calculated by life table and Hakulinen method.

RESULTSthe 1-, 3-, and 5-year OSR were 58.51%, 39.07%, and 33.08%, and the 1-, 3-, and 5-year relative survival rates (RSR) were 60.24%, 42.90%, and 39.03%, respectively. The 1-, 3-, and 5-year relative survival rates of males vs. females were 60.49% vs. 59.65%, 42.88% vs. 42.96%, and 38.76% vs. 39.64%, respectively, statistically with non-significant differences (χ(2) = 0.13, P > 0.05) between them. The 5-year OSR and RSR of urban patients were 39.15% and 46.30%, and the 5-year OSR and RSR of rural patients were 30.81% and 36.32%, with statistically significant differences between them (P < 0.05). The 15-44 age group had a better relative survival rate.

CONCLUSIONSThe survival rate of gastric cancer patients in Zhejiang Province is low. Work of cancer prevention and control should be strengthened. The wide variation in gastric cancer survival rates between urban and rural patients indicates that priority should be given to rural areas in allocating medical and public health resources.

China ; epidemiology ; Female ; Humans ; Male ; Prognosis ; Rural Population ; Stomach Neoplasms ; epidemiology ; Survival Analysis ; Survival Rate

OBJECTIVETo explore the association between socioeconomic status (SES) and blood pressure control in diagnosed hypertension patients.

METHODSThe database of Zhejiang provincial survey on metabolic syndrome which implemented in 2010 in which prior hypoertensive patients were brought into this sutdy. Descriptive statistics were applied to test the distributive differences of relevant factors (age, sex, marital status, hypertension duration, BMI, education level, per capita household yearly income, smoking, alcohol drinking, fruit and vegetable intake) between patients with optimally-controlled blood pressure and those without. The SES of diagnosed hypertension patients was measured separately by two common indicators: education level and the per capita household yearly income. Univariate and multivariate logistic regression models were used to differentiate the association between those two SES indicators and blood pressure control, and the trend of the association was also tested.

RESULTSTotally, 2 394 hypertension patients were diagnosed and identified. Of the patients analysed, the overall mean was (61.53 ± 10.64) years, and 55.7% (1 334 cases) had ≤ 5 years' disease duration. 1 090 achieved optimal blood pressure control, which accounted for a proportion of 45.5%. 1 676 had elementary school education and below, accounting for 70.1%. The patients with per capita household yearly income of < 5 000 Yuan and 5 000-14 999 Yuan groups were 401 (29.4%) and 690 (50.5%) respectively. 416 (17.4%) were smokers and 541 (22.6%) were alcohol drinkers. Based on the statistical tests, we found that the distributions of age, marital status, hypertension duration, body mass index, smoking and alcohol drinking were different between two groups (t or χ² values were 4.57, 5.44, 6.40, 6.21, 5.99, 3.98, respectively, all P values were < 0.05). Optical blood pressure control in higer education level group was significantly better than that of in lower education level (χ² = 12.65, P < 0.001), and there was no statistical significance association between per capita household yearly income and optimal blood pressure control (χ² = 2.78, P = 0.249). Multivariate logistic regression models revealed that, of those two SES indicators, a positive association was shown between education level and optimal blood pressure control: compared with patients in the category of 'elementary school and below, those of 'junior high school and above observed an OR of 1.40 (95% CI: 1.09-1.81). And in further trend χ² test, we identified a trend of such association (χ² trend = 12.74, P = 0.002). However, no significant association has been recognized between per capita household yearly income and optimal blood pressure control: compared with patients in the category of < 5 000 Yuan group, those of 5 000-14 999 Yuan and ≥ 15 000 Yuan groups had OR of 0.93 (95% CI: 0.72-1.20) and 1.04 (95% CI: 0.83-1.31) respectively.

CONCLUSIONAmong all diagnosed hypertension patients, those with lower education level have poorer blood pressure control and should be labelled as the key population for intense health education and standardized management to improve their blood pressure control status.

Alcohol Drinking ; Blood Pressure ; Body Mass Index ; Demography ; Education ; Feeding Behavior ; Fruit ; Humans ; Hypertension ; Income ; Logistic Models ; Metabolic Syndrome ; Smoking ; Social Class ; Treatment Outcome ; Vegetables

OBJECTIVETo explore the association between dyslipidemia and different subtypes of hypertension among Zhejiang population.

METHODSFrom June to October in 2010, 19 113 local residents aged ≥ 18 years old were selected among 7571 families from fifteen counties in Zhejiang by four stage stratified-random sampling method. A self-designed questionnaire was adopted to collect information on demographic characteristics, physical activity and life style. At the same time, physical examinations including height, weight, blood pressure and blood lipids were carried out.

RESULTSA total of 19 113 participants completed the interviews, physical examinations and collected the blood samples.Excluding those who did not meet the criteria, 14 731 were finally enrolled in the study. The prevalence rates of isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), systolic and diastolic hypertension (SDH) were 7.16% (1055/14 731, standardized rate:5.46%), 4.60% (677/14 731, standardized rate:4.41%), 7.09% (1045/14 731, standardized rate:5.75%), respectively. Among normal blood pressure group, subjects with normal TC, high TC and abnormal TC were separately 10 571 (88.43%), 1173 (9.81%) and 210 (1.76%); subjects with normal HDL-C and low HDL-C were separately 6885 (57.60%) and 5069 (42.40%); subjects with normal TG, high TG, abnormal TG were separately 9952 (79.91%), 1213 (10.15%) and 1189(9.95%).In ISH group, subjects with normal TC, high TC and abnormal TC were separately 826 (78.29%), 188 (17.82%) and 41 (3.89%); subjects with normal HDL-C and low HDL-C were separately 666(63.13%) and 389 (36.87%); subjects with normal TG, high TG and abnormal TG were separately 737 (69.86%), 150 (14.22%) and 168 (15.92%). Multi factor analysis showed that high TG and abnormal TG were associated with ISH (OR (95%CI):1.43 (1.16-1.76), 1.65 (1.34-2.03) respectively). Among IDH group, subjects with normal TC, high TC, abnormal TC were separately 556(82.13%), 99(14.62%) and 22 (3.25%); subjects with normal HDL-C, low HDL-C were separately 335 (49.48%) and 342 (50.52%); subjects with normal TG, high TG, and abnormal TG separately were 402 (59.38%), 107 (15.81%) and 168 (24.82%). The multi factor analysis showed that high TG and abnormal TG could increase the risk of IDH (OR(95%CI):1.57 (1.24-1.98), 2.18 (1.76-2.70) respectively). Among SDH group, subjects with normal TC, high TC and abnormal TC were 817 (78.18%), 193 (18.47%) and 35 (3.35%); subjects with normal HDL-C and abnormal HDL-C were separately 599 (57.32%) and 446 (42.68%); subjects with normal TG, high TG, abnormal TG were separately 675 (64.59%), 164 (15.69%) and 206 (19.71%). The multi factor analysis showed that high TC, high TG and abnormal TG were also associated with the increased risk of SDH (OR (95%CI):1.38 (1.14-1.67), 1.43(1.18-1.75), 1.73 (1.43-2.10) respectively).

CONCLUSIONDyslipidemia is an important factor of different subtypes of hypertension among Zhejiang population, especially triglycerides. Dyslipidemia screening should be strengthened to reduce the risk of cardiovascular diseases.

Adult ; Aged ; China ; epidemiology ; Dyslipidemias ; epidemiology ; Female ; Humans ; Hypertension ; blood ; classification ; epidemiology ; Lipids ; blood ; Male ; Middle Aged ; Risk Factors