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The Effect of Elderly Smoking Habits on Life Satisfaction in Rural Area

농촌 지역에 노인들의 흡연습관이 생활만족도에 미치는 영향

  • 정희태 (남서울대학교 보건행정학과)
  • Received : 2019.01.22
  • Accepted : 2019.03.20
  • Published : 2019.03.28

Abstract

The purpose of this study was to compare the life satisfaction of smokers and non - smokers among rural elderly people and to provide a balanced understanding of smoking rather than prejudice about smoking. To do this, we selected 10 S-eup sites as a sample and conducted a life satisfaction survey of 100 smokers and 100 nonsmokers among the elderly aged 65 years and over, and compared the differences in psychological life satisfaction among these groups. The results showed that smokers were significantly more satisfied with mental life satisfaction, enjoyment of life, participation in social activities and loneliness than non - smokers. These results suggest that elderly people aged 65 and over in rural areas are exposed to smoking habits for at least 3,40 years. The results of this study are expected to help the elderly living in aging society to understand the cigarette smokes correctly. In the future study, Research is expected to be active.

본 연구의 목적은 농촌지역에 거주하는 노인들의 흡연자와 비흡연자의 생활만족도를 비교 조사함으로써, 흡연에 대한 선입견이 아닌 흡연에 대한 균형 잡힌 이해를 도우려하는데 그 목적이 있다. 이를 위해 S읍 소재 10곳의 경로당을 표본으로 선정하여 남 여 65세 이상 노인 중 흡연자 100명과 비흡연자 100명에게 생활만족도 조사를 하여, 이 그룹 간에 정신적인 생활만족도의 차이를 비교해 보았다. 분석결과는 비흡연자 보다는 흡연자가 정신적인 생활만족도, 생활의 즐거움, 사회활동 참여도, 외로움 등에서 유의하게 더 만족한 것으로 나타났다. 이 결과는 농촌지역의 만65세 이상 노인들이 최소한 3,40년 이상 오랜 시간동안 흡연의 습관에서 오는 결과로 사료된다. 따라서 본 연구결과를 통하여 고령화 사회에 접어든 우리나라 노인들의 흡연에 대한 올바른 이해를 도울 수 있을 것으로 기대되며, 향후 후속연구에는 좀 더 대상을 확장하여, 융복합측면에서 다각적인 노인들의 흡연행태에 관한 연구가 활발하게 진행 될 것으로 사료된다.

Keywords

Table 1. General characteristics

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Table 2. life satisfaction between smoking and non-smoking Life Satisfaction Rating

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Table 2-1. Chi square test

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Table 3. Comparison of answers to pleasure according to smoking status I am enjoying these days.

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Table 3-1. Chi square test

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Table 4. Comparison of the degree of feeling loneliness by smoking not lonely.

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Table 4-1. Chi square test

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