Authors: Tzu Jung Tseng*, National Cheng Kung University, Tsung-Hsueh Lu, Health Bureau of Taichung City Government, Taiwan
Topics: Medical and Health Geography, Social Geography, Geography Education
Keywords: MAUP, Standardized mortality ratio (SMR), Health geography, Chloropleth map , Taiwan
Session Type: Paper
Start / End Time: 2:40 PM / 4:20 PM
Room: Astor Ballroom II, Astor, 2nd Floor
Presentation File: No File Uploaded
It is well-known that regions with higher socioeconomic position (SEP) have lower mortality rate. However, little is known on the magnitude of association between SEP and mortality differed by SEP indicators (education versus income) and by geographic units. This study sought to compare the magnitude of association between district and village and between education and income indicator in Taichung, Taiwan. Mortality data of Taichung for years 2006 to 2010 and SEP data for year 2011 of 29 districts and 656 villages were extracted from Ministry of Internal Affair. Percentage of adults aged 15 years and above with college and university level and higher of each district and village was calculated as educational indicator. Average household income of each district and village was computed as income indicator. Geographic weighting regression model was used to indicate the magnitude of association between SEP indicators and mortality. Higher education contributed to mortality in township administrative level with an R-square equaled to 0.544 while there was only 0.145 in village level. The same situation also demonstrated in the income tax, which has an R-square of 0.4 and 0.028 in township and village level, respectively. Therefore, educational level attributed higher proportion than income tax to mortality in Taiwan. Education indicator had stronger association with mortality than income indicator in both larger and small geographic unit. Magnitude of association was larger in district unit than in village unit.