유헬스 비만관리에서 생체 지표 변화량과 영양소 지표 변화량의 상관성
The Relationship between Changes of Body Indices and Changes of Nutrition Indices in u-Health Obesity Management
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objectives: The purpose of this study is to analyze the changes in the body indices and nutritional indices between the smartphone user group who received the remote healthcare services and paper record group who performed only the self-record and to analyze the correlation between changes of body indices and changes of nutrition indices in the SmartCare Service Pilot Project conducted in 2011. Methods: Among 422 participants who were randomized in this study, the final analysis subjects were a total of 324 people, excluding the people who dropped out during the 6-month service period and who missed dietary intake records. For evaluation, the changes were compared with baseline and after 6 months by comparing 6 types of body indices and 14 types of nutritional indices and the correlation of changes were analyzed for elements of each evaluation index. Results: Changes in body indices, the smartphone user group showed statistically significant improvement much higher in weight, BMI, waist circumference, and percentage of body fat than the paper record group (p<0.05). Also, changes in nutritional indices, Energy, Carbohydrate, Protein, Fat, Niacin, Ca, and Cholesterol showed more statistically significant reduction (p<0.05). In addition, correlation of changes in the body indices and nutritional indices, the body indices of smartphone user group showed the statistically significant positive correlation with Energy, Carbohydrate, Protein, Fat, Niacin, Ca, P, Mg, and Cholesterol (p<0.05). On the other hand, the body indices of the paper record group didn’t show any statistically significant correlation with all elements of nutritional indices. Conclusions: The smartphone user group showed more improved indices related to obesity compared to the paper record group and it was confirmed that the most changes of body indices and nutritional indices have the positive correlation. Key words: u-Health, Tele-health, Nutrition indicators, Body indicators, Obesity
Abstract
Objectives: The purpose of this study is to analyze the changes in the body indices and nutritional indices between the smartphone user group who received the remote healthcare services and paper record group who performed only the self-record and to analyze the correlation between changes of body indices and changes of nutrition indices in the SmartCare Service Pilot Project conducted in 2011. Methods: Among 422 participants who were randomized in this study, the final analysis subjects were a total of 324 people, excluding the people who dropped out during the 6-month service period and who missed dietary intake records. For evaluation, the changes were compared with baseline and after 6 months by comparing 6 types of body indices and 14 types of nutritional indices and the correlation of changes were analyzed for elements of each evaluation index. Results: Changes in body indices, the smartphone user group showed statistically significant improvement much higher in weight, BMI, waist circumference, and percentage of body fat than the paper record group (p<0.05). Also, changes in nutritional indices, Energy, Carbohydrate, Protein, Fat, Niacin, Ca, and Cholesterol showed more statistically significant reduction (p<0.05). In addition, correlation of changes in the body indices and nutritional indices, the body indices of smartphone user group showed the statistically significant positive correlation with Energy, Carbohydrate, Protein, Fat, Niacin, Ca, P, Mg, and Cholesterol (p<0.05). On the other hand, the body indices of the paper record group didn’t show any statistically significant correlation with all elements of nutritional indices. Conclusions: The smartphone user group showed more improved indices related to obesity compared to the paper record group and it was confirmed that the most changes of body indices and nutritional indices have the positive correlation. Key words: u-Health, Tele-health, Nutrition indicators, Body indicators, Obesity
참고문헌 (28)
- Ogden CL, "The epidemiology of obesity", Gastroenterology, 132(6), pp.2087~2102 (2007)
- Wilson PW, "Clustering of metabolic factors and coronary heart disease", Arch Intern Med, 159(10), pp.1104~1109 (1999)
- Haslam DW, "Obesity", Lancet, 366(9492), pp.1197~1209 (2005)
- Kastarinen MJ, "Blood pressure levels and obesity trends in hypertensive and normotensive Finnish population from 1982 to 1997", J Hypertens, 18(3), pp.255~262 (2000)
- Stevens J, "Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort", Obes Res, 9(11), pp.696~705 (2001)
- Wang YC, "Health and economic burden of the projected obesity trends in the USA and the UK", Lancet, 378(9793), pp.815~825 (2011)
- Jolly K, "Comparison of range of commercial or primary care led weight reduction programmes with minimal intervention control for weight loss in obesity:lighten up randomized controlled trial", BMJ, 343, pp.d6500~ (2011)[DOI]
- Stein CJ, "The epidemic of obesity", J Clin Endocrinol Metab, 89(6), pp.2522~2525 (2004)
- World Health Organization, "The Asian-pacific perspective:redefining obesity and its treatment" (2000), Health Communications Australia Pty Ltd
- Korean Endocrine Society, "2010 recommendation", Endocrinol Metab, 25(4), pp.301~304 (2010)[DOI]
- Oh SW, "Cut-off point of BMI and obesity-related comorbidities and mortality in middle-aged Koreans", Obes Res, 12(12), pp.2031~2040 (2004)
- 박세윤, "u-헬스 케어 (Ubiquitous Healthcare) 서비스를 이용한 영양교육이 직장 남성근로자의 대사증후군에 미치는 영향", Journal of Nutrition and Health, 44(3), pp.231~242 (2011), 한국영양학회
- Baker RC, "Self-monitoring may be necessary for successful weight control", Behav Ther, 24(3), pp.377~394 (1993)
- Burke LE, "Selfmonitoring dietary intake: current and future practices", J Ren Nutr, 15(3), pp.281~290 (2005)
- Luley C, "Weight loss by telemonitoring of nutrition and physical activity in patients with metabolic syndrome for 1 year", J Am Coll Nutr, 33(5), pp.363~374 (2014)
- Wing RR, "A self-regulation program for maintenance of weight loss", N Engl J Med, 355(15), pp.1563~1571 (2006)
- Klasnja P, "Healthcare in the pocket: mapping the space of mobile-phone health interventions", J Biomed Inform, 45(1), pp.184~198 (2012)
- Consolvo S, "Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays", Proceedings of the 10th International Conference on Ubiquitous Computing: UbiComp 2008, pp.54~63 (2008)
- Jia H, "Long-term effect of home telehealth services on preventable hospitalization use", J Rehabil Res Dev, 46(5), pp.557~566 (2009)
- Acharya SD, "Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight", obese adults, 2011, pp.111(4), 583~588
- Kim JA, "Knowledge modeling guideline for reentrant features in SAGE", International Conference on Information Technology and Computer Science (ITCS), pp.76~81 (2012)
- 이창희, "스마트케어 비만관리에서 자가 측정 빈도 수준의 효과", 한국산학기술학회논문지, 16(3), pp.1972~1980 (2015), 한국산학기술학회[DOI]
- 심연정, "2007년도 국민건강영양조사 결과 재분석 : CAN-Pro 3.0 식품영양가표의 활용", Journal of Nutrition and Health, 42(6), pp.577~595 (2009), 한국영양학회
- Rimmer JH, "Telehealth weight management intervention for adults with physical disabilities: a randomized controlled trial", Am J Phys Med Rehabil, 92(12), pp.1084~1094 (2013)
- Baker RC, "Self-monitoring may be necessary for successful weight control", Behav Ther, 24(3), pp.377~394 (1993)
- Shay LE, "Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program", Eat Behav, 10(4), pp.220~227 (2009)[DOI]
- Chang-Hee Lee, "Effect of Disease Improvement with Self-Measurement Compliance (Measurement Frequency Level) in SmartCare Hypertension Management Service", Telemedicine and e-Health, 22(3), pp.238~245 (2016), Mary Ann Liebert Inc[DOI]
- 최미경, "비만 중학생의 비만도와 영양지식, 영양섭취상태 및 혈액성상과의 상관성", 한국식품영양과학회지, 34(2), pp.181~189 (2005), 한국식품영양과학회