지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.12
- 수록면
- 453 - 464 (12page)
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초록· 키워드
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Objectives: The objective of this study was to examine whether dietary quality varies among different age groups and geographic areas, and whether the difference between geographic areas varies across several age groups in Korea.
Methods: The subjects were 14,170 subjects who participated in the 2013-2015 Korea National Health and Nutrition Examination Survey. The dietary quality was assessed using the Korean Health Eating Index (KHEI). Age groups were categorized into six groupings, and areas were categorized into urban and rural according to their administrative districts. The effect of area on the KHEI score was analyzed by multiple linear regression analysis.
Results: The KHEI was the lowest in the 20-30s group (57.7 ± 0.4 score for 20s and 61.2 ± 0.3 score for 30s) and increased with age (p<0.001), showing the highest score in the 60s (67.9 ± 0.3 score), and then decreased again in the 70s and older (64.6 ± 0.3 score). As a result of comparing the KHEI score by area, the urban areas had higher KHEI scores than did the rural areas (63.5 ± 0.2 score for urban area and 62.2 ± 0.4 score for rural area, p=0.002). The difference between areas was dependent on the age group, showing a significant difference for subjects who were aged from 50s and older (p=0.002 for 50s, p<0.001 for 60s and p<0.001 for 70s and older). After adjusting for confounding factors, the effect of area on the KHEI score was only shown for those subjects in the over 60 years old group (p=0.035 for 60s and p<0.001 for 70s and older).
Conclusions: The dietary quality differed according to the age group and geographic area. The dietary quality was lower for younger people than that for older people, and in rural areas compared to that in urban areas, and especially for older adults. The area factor was a very important factor for the dietary quality.
Methods: The subjects were 14,170 subjects who participated in the 2013-2015 Korea National Health and Nutrition Examination Survey. The dietary quality was assessed using the Korean Health Eating Index (KHEI). Age groups were categorized into six groupings, and areas were categorized into urban and rural according to their administrative districts. The effect of area on the KHEI score was analyzed by multiple linear regression analysis.
Results: The KHEI was the lowest in the 20-30s group (57.7 ± 0.4 score for 20s and 61.2 ± 0.3 score for 30s) and increased with age (p<0.001), showing the highest score in the 60s (67.9 ± 0.3 score), and then decreased again in the 70s and older (64.6 ± 0.3 score). As a result of comparing the KHEI score by area, the urban areas had higher KHEI scores than did the rural areas (63.5 ± 0.2 score for urban area and 62.2 ± 0.4 score for rural area, p=0.002). The difference between areas was dependent on the age group, showing a significant difference for subjects who were aged from 50s and older (p=0.002 for 50s, p<0.001 for 60s and p<0.001 for 70s and older). After adjusting for confounding factors, the effect of area on the KHEI score was only shown for those subjects in the over 60 years old group (p=0.035 for 60s and p<0.001 for 70s and older).
Conclusions: The dietary quality differed according to the age group and geographic area. The dietary quality was lower for younger people than that for older people, and in rural areas compared to that in urban areas, and especially for older adults. The area factor was a very important factor for the dietary quality.
목차
ABSTRACT
서론
연구 대상 및 방법
결과
고찰
요약 및 결론
References
참고문헌 (38)
참고문헌 신청
World Health Organization / 2003 / Diet, nutrition and the prevention of chronic diseases :916
World Health Organization / 2020 / Global action plan for the prevention and control of noncommunicable diseases 2013-2020
Mohammad H Forouzanfar / 2015 / Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 / The Lancet 386(10010):2287~2323
Kennedy ET / 1995 / The healthy eating index: design and applications / J Am Diet Assoc 1995; 95(10):1103~1108
PAMELA S. HAINES / 1999 / The Diet Quality Index Revised / Journal of the American Dietetic Association 99(6):697~704
World Health Organization / 2020 / Global action plan for the prevention and control of noncommunicable diseases 2013-2020
Mohammad H Forouzanfar / 2015 / Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 / The Lancet 386(10010):2287~2323
Kennedy ET / 1995 / The healthy eating index: design and applications / J Am Diet Assoc 1995; 95(10):1103~1108
PAMELA S. HAINES / 1999 / The Diet Quality Index Revised / Journal of the American Dietetic Association 99(6):697~704
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