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    题名: 青壯年族群飲酒行為之分析;Analysis of drinking behavior in young and middle-aged people
    作者: 林美秀;Lin, Mei-Hsiu
    贡献者: 產業經濟研究所
    关键词: 飲酒行為;飲酒頻率;飲酒濃度;Drinking behavior;Ordered probit model;Drinking frequency;Alcohol by volume
    日期: 2019-07-12
    上传时间: 2019-09-03 15:12:40 (UTC+8)
    出版者: 國立中央大學
    摘要: 本研究使用「2013年國民健康訪問調查」資料,探討個人社會經濟背景、健康狀態及居住地區與飲酒行為之關係,飲酒行為區分為飲酒頻率、飲酒濃度與飲酒過量等三方面。本研究採用ordered probit實證模型,分析影響青壯人口飲酒頻率與飲酒濃度的決定因素,結果顯示男性、每月收入5萬以上、有抽菸習慣、未成年曾飲酒與居住在東部者有高飲酒頻率機率;而飲酒濃度方面,每月收入在3萬以下者有較低的飲酒濃度機率,其餘顯著因子與飲酒頻率相同。另外,本文採用probit實證模型探討飲酒過量,結果顯示,男性及居住東部者與飲酒過量呈顯著正相關;已婚且同居、55至64 歲年齡層、大專以上者,呈顯著負相關,可見良好的婚姻狀態與高知識水平能抑制酒精的過量攝取。
    ;This paper studies relationships between individual socioeconomic background, health status, living areas, and drinking behavior with the data of the “2013 National Health Interview Survey”. Drinking behavior is divided into three aspects: drinking frequency, drinking concentration and excessive drinking. This study uses the ordered probit empirical model to analyze the determinants of drinking frequency and drinking concentration in young and middle-aged people. The results show that male gender, a monthly income of more than 50,000 NT dollars, smoking habits, underage drinking and living in eastern Taiwan all contribute to high frequency of drinking. In terms of drinking concentration, People who earn less than 30,000 NT dollars monthly have lower possibilities. And the significant factor is roughly the same as the drinking frequency. In addition, this paper adopts the probit empirical model to explore excessive drinking. The results show that male gender, those living in the east, those with smoking habits, and those who have experienced underage drinking are significantly positively correlated with excessive drinking. In contrast, being married and cohabiting, aged between 55 to 64, and university education are negatively correlated with excessive drinking. It can be seen that a good marital status and high level of knowledge can inhibit excessive intake of alcohol.
    显示于类别:[產業經濟研究所] 博碩士論文

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