http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Aekplakorn, Wichai (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Pholpark Aungsumalee,Shin Hye Ri,Aekplakorn Wichai 한국보건사회연구원 2017 保健社會硏究 Vol.37 No.2
본 연구는 한국과 태국 성인을 대상으로 건강위험행동이 주관적 건강수준에 영향을 미치는지를 살펴보고자 하였다. 한국은 건강영양조사(Korea National Health and Nutritional Examination Survey, KNHANES)의 2009년 자료를 이용하였고, 태국은 전국 건강검진조사(Thai National Health Examination Survey, NHES)의 2009년 자료를 이용하였다. 분석대상은 한국과 태국의 18세에서 60세 미만의 성인으로 각 각 5,649명 및 7,753명이다. 분석은 다중로지스틱 분석방법(multiple logistic regression analysis)을 수행하였으며, 분석결과 한국과 태국 모두 건강위험행동요인 중 운동과 흡연은 주관적 건강수준에 유의미한 영향을 미치는 것으로 나타났다. 그 중에서도 운동이 한국(OR: 1.46; 95% CI 1.23-1.74)과 태국(OR: 1.21; 95% CI 1.04-1.41)의 주관적 건강수준에 강하게 유의하게 나타나는 것을 확인하였다. 분석결과를 통해 본 연구는 한국과 태국의 인구학적, 사회경제적, 사회심리적인 차이를 고려한 건강위험행동에 관한 질병 예방 및 건강 증진 활동의 강화를 제안하고자 한다. This study examined the association between behavioral risk factors and self-rated health (SRH) among Korean and Thai adult populations. The data came from the 2009 Korea National Health and Nutritional Examination Survey and the 2009 Thai National Health Examination Survey. These surveys were based on representative samples of the Korean and Thai populations aged between 18 and 59 years, a total of 5,649 and 7,753 respondents, respectively. Multiple logistic regression analysis showed that behavioral risk factors, including lack of physical activity and smoking, were homogenously associated with SRH in both countries. However, physical activity was more strongly associated with SRH in Korea (odds ratio [OR]: 1.46; 95% confident interval [CI]: 1.23-1.74) and Thailand (OR: 1.21; 95% CI: 1.04-1.41). Findings from this study suggest that disease prevention and promotion interventions regarding behavioral risk factors should be strengthened in both countries by taking demographic, socioeconomic, and psychosocial differences into considerations.
-
Abarca-Gó,mez, Leandra,Abdeen, Ziad A,Hamid, Zargar Abdul,Abu-Rmeileh, Niveen M,Acosta-Cazares, Benjamin,Acuin, Cecilia,Adams, Robert J,Aekplakorn, Wichai,Afsana, Kaosar,Aguilar-Salinas, Carlos Elsevier 2017 The Lancet Vol.390 No.10113
<P><B>Summary</B></P> <P><B>Background</B></P> <P>Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults.</P> <P><B>Methods</B></P> <P>We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5–19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity).</P> <P><B>Findings</B></P> <P>Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (−0·01 kg/m<SUP>2</SUP> per decade; 95% credible interval −0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m<SUP>2</SUP> per decade (0·69–1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m<SUP>2</SUP> per decade (0·64–1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m<SUP>2</SUP> per decade (−0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m<SUP>2</SUP> per decade (0·50–1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4–1·2) in 1975 to 5·6% (4·8–6·5) in 2016 in girls, and from 0·9% (0·5–1·3) in 1975 to 7·8% (6·7–9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0–12·9) in 1975 to 8·4% (6·8–10·1) in 2016 in girls and from 14·8% (10·4–19·5) in 1975 to 12·4% (10·3–14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7–29·6) among girls and 30·7% (23·5–38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44–117) million girls and 117 (70–178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24–89) million girls and 74 (39–125) million boys worldwide were obese.</P> <P><B>Interpretation</B></P> <P>The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high lev
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
