本研究欲透過地區社經與個人社經地位間的交互作用，驗證我國地區社經對地區內個人社經地位間健康不平等的影響，符合集體資源模式或是相對剝奪理論，並從中探討健康行為對個人社經地位與地區社經地位之交互作用的影響。本研究使用我國2001年國民健康訪問調查資料串連受訪者戶籍資料及其2001-2010年間的死因紀錄，針對45歲以上受訪民眾，將性別、年齡視為一般人口學變項；以受訪者戶籍地區，將居住地區社經地位分為低社經地區與高社經地區兩類；個人社經地位依家戶平均月收入分為五個等級，控制年齡與性別等人口學變項，探討個人與地區社經地位及其交互作用對自評健康、生活品質與全死因死亡的影響。分析過程中，並探討我國吸菸、飲酒、嚼檳榔等不健康行為是否影響個人與地區社經地位的解釋力。
研究結果發現，個人社經地位與地區社經地位之交互作用僅對自評健康(45-64歲β=0.87，95% CI=0.09~1.64；65歲以上β=0.43，95% CI= -1.09~1.95)有顯著效應，而對生活品質 (β=0.12，95% CI=-0.24~0.48) 及死亡 (45-64歲OR=0.92，95% CI=0.53~1.6；65歲以上OR=1.02，95% CI=0.87~1.18)則沒有交互作用存在。結論：台灣地區個人社經地位與地區社經地位之交互作用對健康的影響，不盡然存在，若有，將符合集體資源模式，表示高地區社經地位，不同社經地位民眾間的健康差距較小。

The purpose of this study is to examine the effect of the interaction between area and individual socioeconomic status on health inequality among the population aged 45 years and older. Data from the National Health Interview Survey in 2001 was linked to the respondents’ census data and the Death Certification data file from 2001 to 2010. Gender and age were regarded as general demographic variables. Area socioeconomic status was defined by household registration of the respondents’ residential area. Individual socioeconomic status was average monthly household income. Smoking, drinking and chewing betelnut were important control variables. The effects of the interaction between area and individual socioeconomic status on self-rated health, quality of life and all-cause mortality were examined. The interaction effect between area and individual socioeconomic status affects only the self-rated health (age 45-64 : β=0.87，95% CI=0.09~1.64；65 years old and over：β=0.43，95% CI=-1.09~1.95).
However, the interaction between area and individual socioeconomic status gives no influence on quality of life ( β =0.12，95% CI=-0.24~0.48)and on all-cause mortality(age 45-64 : OR=0.92，95% CI=0.53~1.6；65 years old and over：OR=1.02，95% CI=0.87~1.18). In Taiwan, the effects of the interaction between area and individual socioeconomic status may not affect to people’s health; or, the results of this study would confirm the collective resources model, in terms of the level of health inequality in the high socioeconomic status areas could be observed in a smaller scale.

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