• 재활치료과학
• /
• 제11권2호
• /
• pp.7-24
• /
• 2022

목적 : 아동 및 청소년의 다면적인 라이프스타일을 평가하는 표준화된 평가도구 개발을 위해 라이프스타일 평가도구와 라이프스타일 구성요소별 평가도구들을 체계적으로 분석하고자 한다. 연구방법 : 기간은 2001년부터 2020년까지였으며, 검색엔진은 CINANL, NDSL, PubMed, RISS를 사용하였다. 검색어는 'lifestyle assessment' OR 'lifestyle profile' OR 'lifestyle test', 'physical activity assessment' OR 'physical activity participation profile', 'nutrition assessment' OR 'nutrition profile', 'activity participation assessment' OR 'activity participation profile'을 사용하였다. 결과 : 5,883편의 연구에서 중복제거 후 제목, 초록, 전문을 검토한 결과, 총 24개의 평가도구가 선정되었다. 세부 결과로는 라이프스타일 평가도구 5개, 신체활동 평가도구 7개, 식습관 평가도구 9개, 활동참여 평가도구 3개가 도출되었다. 결론 : 아동 및 청소년의 라이프스타일 평가도구에 대하여 각 항목별 평가도구의 평가항목, 측정방법, 평가대상연령을 분석하였다. 향후 아동 및 청소년을 위한 표준화된 다면적인 라이프스타일 평가도구의 개발에 기초자료로 활용되기를 기대한다.

• Journal of Nutrition and Health
• /
• 제56권4호
• /
• pp.391-403
• /
• 2023

그동안 국내 연구에서 PAL을 산출하기 위해 사용해온 18단계 신체활동분류표로 신체활동을 평가하는 데 한계가 있었기에 새롭게 한국인을 위한 신체활동분류표가 보고되었다. 이에 본 연구에서 총에너지소비량을 측정하는 gold standard인 이중표식수법을 이용하여 새로 보고된 신체활동분류표의 타당도를 평가한 결과, TEE_DLW와 TEE_PACT 간의 유의한 차이가 없었으며 TEE_DLW와 TEE_PACT 간의 스피어만 상관관계 (r = 0.769)는 유의한 높은 양의 상관성을 보였다. 즉, 본 연구에서 TEE 및 PAL 산출을 위해 새로운 신체활동분류표의 사용이 타당한 것으로 평가되었으며, 앞으로 이와 관련된 연구 결과는 2025 한국인 영양소 섭취기준에서 에너지필요추정량 산출식에 필요한 신체활동단계별 계수 (PA)를 결정하는데 유용한 자료가 될 것으로 기대된다. 또한 개인별 및 연구 목적으로도 쉽게 사용하기 위해서, 신체활동분류표를 이용한 웹 버전의 소프트웨어 프로그램 및 스마트폰 어플리케이션의 개발이 필요하다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권9호
• /
• pp.3730-3744
• /
• 2020

This study proposes a deep learning-based evolutionary recommendation model for heterogeneous big data integration, for which collaborative filtering and a neural-network algorithm are employed. The proposed model is used to apply an individual's importance or sensory level to formulate a recommendation using the decision-making feedback. The evolutionary recommendation model is based on the Deep Neural Network (DNN), which is useful for analyzing and evaluating the feedback data among various neural-network algorithms, and the DNN is combined with collaborative filtering. The designed model is used to extract health information from data collected by the Korea National Health and Nutrition Examination Survey, and the collaborative filtering-based recommendation model was compared with the deep learning-based evolutionary recommendation model to evaluate its performance. The RMSE is used to evaluate the performance of the proposed model. According to the comparative analysis, the accuracy of the deep learning-based evolutionary recommendation model is superior to that of the collaborative filtering-based recommendation model.

• Communications for Statistical Applications and Methods
• /
• 제25권1호
• /
• pp.1-13
• /
• 2018

In many studies, a researcher attempts to describe a population where units are measured for multiple outcomes, or responses. In this paper, we present an efficient procedure based on ranked set sampling to estimate and perform hypothesis testing on a multivariate mean. The method is based on ranking on an auxiliary covariate, which is assumed to be correlated with the multivariate response, in order to improve the efficiency of the estimation. We showed that the proposed estimators developed under this sampling scheme are unbiased, have smaller variance in the multivariate sense, and are asymptotically Gaussian. We also demonstrated that the efficiency of multivariate regression estimator can be improved by using Ranked set sampling. A bootstrap routine is developed in the statistical software R to perform inference when the sample size is small. We use a simulation study to investigate the performance of the method under known conditions and apply the method to the biomarker data collected in China Health and Nutrition Survey (CHNS 2009) data.

• 한국근적외분광분석학회:학술대회논문집
• /
• 한국근적외분광분석학회 2001년도 NIR-2001
• /
• pp.1062-1062
• /
• 2001

The concept of “precision agriculture” or “site-specific farming” is usually confined to the fields of soil science, crop science and agronomy. However, because plants grow in soil, animals eat plants, and humans eat animal products, it could be argued (perhaps with some poetic licence) that the fields of feed quality, animal nutrition and animal production should also be considered in this context. NIR spectroscopy has proved over the last 20 years that it can provide a firm foundation for quality measurement across all of these fields, and with the continuing developments in instrumentation, computer capacity and software, is now a major cog in the wheel of precision agriculture. There have been a few giant leaps and a lot of small steps in the impact of NIR on the animal world. These have not been confined to the amazing advances in hardware and software, although would not have occurred without them. Rapid testing of forages, grains and mixed feeds by NIR for nutritional value to livestock is now commonplace in commercial laboratories world-wide. This would never have been possible without the pioneering work done by the USDA NIR Forage Research Network in the 1980's, following the landmark paper of Norris et al. in 1976. The advent of calibration transfer between instruments, algorithms which utilize huge databases for calibration and prediction, and the ability to directly scan whole grains and fresh forages can also be considered as major steps, if not leaps. More adventurous NIR applications have emerged in animal nutrition, with emphasis on estimating the functional properties of feeds, such as in vivo digestibility, voluntary intake, protein degradability and in vitro assays to simulate starch digestion. The potential to monitor the diets of grazing animals by using faecal NIR spectra is also now being realized. NIR measurements on animal carcasses and even live animals have also been attempted, with varying degrees of success, The use of discriminant analysis in these fields is proving a useful tool. The latest giant leap is likely to be the advent of relatively low-cost, portable and ultra-fast diode array NIR instruments, which can be used “on-site” and also be fitted to forage or grain harvesters. The fodder and livestock industries are no longer satisfied with what we once thought was revolutionary: a 2-3 day laboratory turnaround for fred quality testing. This means that the instrument needs to be taken to the samples rather than vice versa. Considerable research is underway in this area, but the challenge of calibration transfer and maintenance of instrument networks of this type remains. The animal world is currently facing its biggest challenges ever; animal welfare, alleged effects of animal products on human health, environmental and economic issues are difficult enough, but the current calamities of BSE and foot and mouth disease are “the last straw” NIR will not of course solve all these problems, but is already proving useful in some of these areas and will continue to do so.

• Journal of Nutrition and Health
• /
• 제53권4호
• /
• pp.406-415
• /
• 2020

본 연구는 2013-2017년 국민건강영양조사 자료를 이용하여 만 19-64세 성인 남녀를 대상으로 채소·과일 섭취에 따른 일반적 사항과 식품 및 영양소 섭취 상태를 파악하고 채소·과일의 섭취와 천식 유병률의 관련성을 알아보고자 시행되었다. 전체 대상자의 천식 유병률은 2.6% 이었고, 채소·과일의 섭취량에 따라 1.8%-3.1%로 나타났다. 채소·과일 섭취량이 많을수록 평균 연령과 가구소득은 높았고 교육수준은 낮았으며, 흡연자의 비율과 알코올 섭취 빈도도 낮았다. 채소·과일의 섭취량이 많은 군이 우유 및 유제품을 제외한 모든 식품군의 섭취량이 많았고, 에너지를 포함한 영양소의 섭취량도 많았다. 열량영양소의 섭취비율의 경우, 채소·과일의 섭취량이 많은 군이 적은 군에 비해 탄수화물과 단백질의 섭취비율은 높고, 지방의 섭취비율은 낮았다. 채소와 과일 섭취량에 따른 3사분위군의 천식에 대한 위험도는 최하위 사분위군 대비 각각 35%, 40%까지 감소하였다. 그러나 최상위 사분위군의 경우, 최하위 사분위군과 비교하여 천식에 대한 위험도가 유의하게 감소하지 않았다. 이러한 결과를 통하여 권장량 수준의 적절한 채소·과일의 섭취가 천식을 예방 및 관리하는데 도움이 될 것이라 생각된다. 또한 채소·과일의 섭취가 천식의 발생과 치료효과에 미치는 영향을 파악하기 위해 장기간의 코호트 연구와 임상시험 연구가 필요할 것으로 생각된다.

• 한국식품조리과학회지
• /
• 제25권4호
• /
• pp.474-487
• /
• 2009

The principal objectives of this study were to evaluate the space, equipment, and institution rate by functional area, and to suggest appropriate types, numbers, and equipment capacity by school foodservice size for optimal employee job performance and efficiency. Data were collected and administered by 263 dietitians who attended elementary and middle schools in Gyeonggi Province, and the data were analyzed using SPSS statistical software. Among a total of 72 respondents who provided usable data, 31 (48.6%) respondents were nutrition teachers and 37 (51.4%) were part-time dietitians. The majority of the respondents reported that their foodservices were self-operating types (94.4%), and 8 meals out of 10 meals provided over a 2-week period were served as normal meals, defined as meals consisting of Bab, Kook, Kimchi, and 3 side dishes (73.6%). The mean kitchen space was $186.25\;m^2$ for 500 meals/day, $269.7\;m^2$ for 501 to 1,000 meals/day, $249.1\;m^2$ for 1001 to 1500 meals/day, and $274.87\;m^2$ for 1,500 or more meals/day. The mean space of functional areas was $11.52\;m^2$ for office, $12.63\;m^2$ for storeroom, $9.55\;m^2$ for receiving area, $27.23\;m^2$ for pre-preparation area, $149.9\;m^2$ for cooking area, $18.33\;m^2$ for assembly/service area, $45.50\;m^2$ for dishwashing area, and $17.20\;m^2$ for locker room. Only two pre-preparation and cooking spaces increased significantly with increasing size of school foodservice (p<0.05). Office, cooking area, and locker room were allocated in all foodservices. However, the pre-preparation area (68.7%), receiving area (56.5%), assembly/service area (38.1%), and dishwashing area (37.7%) were lowly installed in the surveyed facilities. Through a focus group meeting discussing the results of this study, appropriate equipment and its dimensions were suggested according to functional areas and foodservice scales. Future studies will be necessary to allocate the appropriate space by functional area with the proposed equipment requirements for optimally efficient decision making in equipment purchasing.

• 한국축산식품학회지
• /
• 제43권2호
• /
• pp.282-304
• /
• 2023

This study aimed to investigate the effectiveness of carotenoid supplementation on the performance, egg quality, and immunity of laying hens using a meta-analysis approach. The database was searched using Google Scholar and Scopus, from 2012 to 2022. The literature was published in English. 47 Articles were selected for meta-analysis. Analyses were performed using the Open Meta-analyst for Ecology and Evolution (OpenMEE) software. The heterogeneity and data validation against publication bias were analyzed using JASP 0.16.2 software. Overall, the results showed that carotenoid supplementation improved feed intake by 0.32 g/day/hen [95% confidence interval (CI)=0.02 to 0.61], final body weight by 0.33 g/hen (95% CI=0.05 to 0.60), egg production by 0.38% (95% CI=0.14 to 0.63), egg weight by 0.29 g (95% CI=0.09 to 0.5), yolk colour by 2.11 (95% CI=1.71 to 2.51), Haugh unit (HU) by 0.26 (95% CI=0.11 to 0.42), yolk carotenoids by 1.17 ㎍/kg (95% CI=0.59 to 1.75), immunoglobulin A (IgA) by 0.74 mg/L (95% CI=0.18 to 1.29), and lower yolk cholesterol by -0.38 mg/g (95% CI=-0.59 to -0.16). Feed conversion ratio (FCR), eggshell thickness, and white blood cells were unaffected by the application of carotenoids. The heterogeneity analysis showed variability in all studies (<0.05). In conclusion, carotenoid supplementation can elevate productivity, enhance egg quality, and improve immunity. However, based on Kendall's test, there was a publication bias in several parameters, namely FCR, egg weight, HU, yolk carotenoids, and IgA.

• 한국축산식품학회지
• /
• 제42권2호
• /
• pp.280-294
• /
• 2022

This study aimed to evaluate the effectiveness of propolis extract as a natural preservative for livestock products in term of chemical and microbiological characteristics by meta-analysis. The stages carried out in this study were identification, selection, checking suitability, and the resulting selected articles were used in the meta-analysis. The selection results obtained a total of 22 selected journal articles consisting of 9 articles for analysis of the antimicrobial activity of propolis extract and 13 articles for analysis of the chemical and mirobiological characteristics of livestock products. The articles were obtained from electronic databases, namely Science Direct and Google Scholar. The model used in this study is the random-effect model involving two groups, control and experimental. Heterogeneity and effect size values were carried out in this study using Hedge's obtained through openMEE software. Forest plot tests and data validation on publication bias was obtained using Kendall's test throught JASP 0.14.1 software. The results showed that there is a significant relationship between propolis extract with the results of the antimicrobial activity (p<0.05). In addition, the results of the application of propolis extract on the livestock products for the test microbes and the value of thiobarbituric acid reactive substances (TBARs) showed significant results (p<0.05). Conclusion based on the random-effect model on the effectiveness of antimicrobial activity of propolis extract and their apllication as a natural preservative of the chemical and microbiological characteristics of livestock products is valid by Kendall's test (p>0.05). Propolis in this case effectively used as natural preservatives in livestock products.

• 한국식생활문화학회지
• /
• 제14권4호
• /
• pp.305-317
• /
• 1999

An attempt was made to provide valuable information to improve service quality and customer satisfaction for in-flight catering service. The customers' demographic characteristics that impact on service quality and customer satisfaction were examined for a group of customer. 474 customers who have been used the airplane within 1 year were participated in this study. Statistical analysis was performed using SAS software program (version 6.01) for descriptive analysis, factor analysis, t-test and ANOVA. The results of the study can be summarized as follows: 1. Service Quality in In-flight catering was assessed on the basis of 18 service quality attributes and 5 dimensions derived from a factor analysis. After comparing customers' perception to customers' expectation regarding in-flight service quality, the quality of dimensions for 'meals', and 'sanitation' were not showed any significant differences. However, the expectation for dimensions of 'diversity of menu', 'providing information', and 'the degree of concern to the customers' were rated significantly higher than the perception for those. 2. Among the demographic variables, age and gender had highly influences on the customers' expectation and perception regarding service quality and customer satisfaction. 3. The korean food that the customers wanted to have for in-flight meals was investigated. Among the kinds of gruel(jook), abalone gruel(jeonbok-jook), pumpkin gruel(hobak-jook), and pine-nut gruel(jat-jook) were chosen to have for in-flight korean meals. It was rated that the preferences for beef soup(sogogikook), hot spicy beef soup(youkgaejang), brown sea-weed soup(miyoukkook) were higher than others in soup group. The preferences for boiled rice with assorted mixture(bibimbab) showed the highest and beef and rice soup(seoleongtang), boiled rice with four the staple cereals(ogogbab) were preferred higher than the others in main dish group. Bulgogi was rated the most popular dish. Korean style punch with omiza(whachae), sweet rice dish(yaksik) and fried glutinous rice cake(gangjeong)showed high preferences in dissert.