P1-192 A small area analysis of injuries and related factors: 2009 community health survey, Korea

Abstract

threshold probability of 20% to predict cardiovascular diseases in a population based cohort of 6224 Iranians aged 30e74 years with 10-year follow-up. Results dividing NB by incidence resulted 17% and PAF shows 43% decrease in incidence, but NBF shows just 8% advantage for treatment according to the model. Conclusion NBF seems to be a challengeable issue in policy making using risk functions. Background Social status is associated with cardiovascular disease (CVD) prevalence and incidence. We aimed to study relationships between i) socioeconomic position (SEP) and common CVD biomarkers; cholesterol, LDL/HDL, ApoB/ApoA1 and adiponectin ii) SEP and CVD mortality in a Swedish-population-based sample, and to assess if these associations changed with age. Design A longitudinal cohort study of men born 1920-24 with clinical measurements, blood samples, questionnaire data and register-based information on SEP and cause of death. Methods Of 2322 men that participated in an investigation at age 50, 1221 attended a reinvestigation at age 70. SEP was measured as occupational class and educational level. Linear regression (adjusted for age, body mass index and physical activity) was used to study associations between SEP and CVD biomarkers. CVD mortality over 36 year's follow-up was analysed by Cox regression. Results At age 50: We found significant inverse associations of education and occupational group with mean cholesterol levels, whereas LDL/HDL ratio was associated with education only. These were statistically significant after adjustment for covariates. No significant associations were found between either measure of SEP and ApoB/ApoA1 ratio. At age 70: No significant associations were found between either measurement of SEP and any biomarker studied. Men classified as highest educated and non-manual had decreased risk for CVD mortality during follow-up. Conclusions Associations of SEP with cholesterol levels and LDL/ HDL ratio that exist at age 50, are no longer found in the same group of men at age 70. We found no significant association between SEP and adiponectin levels at age 70. Introduction Government spending on public goods (eg, education) and social assistance (eg, cash transfers) provides plausible investments in the social determinants of health. Among rich nations, countries with higher social spending and lower income inequality show longer life expectancies. However, studies of both factors have been limited by bias from residual confounding and reverse causation. Methods This study examined data from the National Longitudinal Mortality Study on 431 637 adults aged 30e74 in 48 USA states followed for 11 years. State per capita social spending (total, welfare, education, health) and income inequality (Gini coefficient) were explored as predictors of individual mortality (all-cause, cardiovascular, cancer) using linear probability models. To reduce bias, models P1-190 P1-191

Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression

“…In a 2008 study that used KCHS data, Kim [ 19 ] found a relationship between the current smoking rate and stress experience rate, which were included as derived variables, which is consistent with the findings of the present study. The number of drinking establishments and park areas included as integral variables was related to the high-risk drinking rate, but this study did not reveal any statistically significant findings.…”

남성 흡연율에 대한 지역별 금연 조례 시행에 대한 효과: 지역사회건강조사 자료 이용

“…Residence community [ 7 , 8 ], regional socioeconomic levels (poverty levels and unemployment rates) [ 9 , 10 ], and better accessibility to cigarettes are associated with individual smoking habits [ 11 ]. In a study using 2009 CHS data, regional variations including regional deprivation indices, the number of bars per 1,000 people, and the level of smoke-free education for residents were associated with smoking rate [ 25 ]. In general, regional regulations include smoke-free public relations and campaign activities in addition to the authority provision to designate smoke-free zones and impose fines for violations in smoke-free zones in order to establish smoke-free environments.…”