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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/83493


    Title: 桃園地區之區域與疾病盛行率之關聯;The association between the Taoyuan area and the prevalence of disease
    Authors: 邱奕鈞;Ciou, Yi-Jyun
    Contributors: 系統生物與生物資訊研究所
    Keywords: 盛行率;桃園;prevalence;Taoyuan
    Date: 2020-08-20
    Issue Date: 2020-09-02 15:43:50 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 疾病的產生通常由多種因子造成,外在因子對各個區域的影響又比內在因子來的強烈。而外在因子以區域劃分成各種環境因子如降雨量、氣溫、光汙染以及空氣汙染等等,這些環境因子在各地區有著不同的影響程度,因此各地區所盛行的疾病也不相同。桃園市一共有13個區,每個區的環境結構和生活習慣皆有不同,我們有幸取得聯新國際醫院桃園地區2012年至2015四年的病患資料,並將性別、學歷、年齡、疾病以及鄉政市區作為分析依據,希望能了解各地區間疾病盛行率的差異。除了基本統計量值,我們也使用卡方檢定(葉茲校正)進一步判斷類別變項間之關聯性,挑選出了31個疾病,最後由勝算比計算關聯強弱。
    研究結果顯示,臨海地區除了蘆竹區以外,高中職以下的教育程度比例較其他地區高,而龜山區與蘆竹區在16歲到50歲的年齡比例佔占該地區人數的70%,高於其他地區。我們還發現所挑選的疾病裡,良性腫瘤疾病之盛行率在臨海區較低,而男性又低於女性;智能不足疾病在臨海的勝率高於非臨海(勝算比),而女性族群裡除了蘆竹區,其他三個臨海地區之該疾病盛行率皆高於非臨海地區。
    ;Diseases are usually caused by a variety of factors, and the influence of external factors on each area is stronger than that of internal factors. The external factors are divided into various environmental factors such as rainfall, temperature, light pollution and air pollution by region. These environmental factors have different degrees of influence in each region, so the prevalence of diseases in each region are also different. There are total of 13 districts in Taoyuan City. Each district has different environmental structure and living habits. We are fortunate to obtain patient data from 2012 to 2015 in the Taoyuan District of Landseed International Hospital, and that includes gender, education, age, and disease. And the districts as the basis for analysis, hoping to find the differences in diseases between regions. In addition to the basic statistic value, we also used the Chi-square test (Yates′s correction) to further adjust the correlation between the category variables, and selected 31 diseases. Finally, we calculated the correlation strength from the odds ratio.
    The results of the study show that, except for Luzhu district, the proportion of people with an education level below senior middle school in coastal areas are higher than that of other areas. While the proportion of people aged 16 to 50 in Guishan district and Luzhu district accounted for 70% of the area’s population is higher than that in other districts. We also found that among the selected diseases, the prevalence of "Benign tumor diseases" is lower in the coastal area, while the male is lower than the female; "Mental retardation" in the coastal area has a higher winning rate than the non-coastal area (the odds ratio). And the female population except for the Luzhu district, the prevalence of the disease in the other three coastal areas in coastal district is higher than that in non-coastal areas.
    Appears in Collections:[系統生物與生物資訊研究所] 博碩士論文

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