• Title/Summary/Keyword: consumption trend

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Chicken consumption and insulin resistance in non-diabetic older adults

  • Yeum, Kyung-Jin;Kim, Young-Sang;Joo, Nam-Seok
    • Journal of Nutrition and Health
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    • v.53 no.4
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    • pp.356-368
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    • 2020
  • Purpose: Histidine-containing dipeptides, which are rich in chicken, have been reported to reduce the risk of metabolic abnormalities via anticarbonylation mechanism in animal models. To determine the effect of dietary histidine-containing dipeptides on metabolic risk factors in humans, the relation between chicken consumption and insulin resistance were determined in a population consuming high carbohydrate and low protein. Methods: A total of 7,183 subjects (2,929 men and 4,254 women) aged ≥ 50 years from the Korea National Health and Nutrition Examination Survey (KNHANES) were divided into three groups according to chicken consumption (rarely, monthly, and weekly), and evaluated for the metabolic risk factors using homeostasis model assessment for insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) in this cross-sectional study. The fourth and fifth (IV-1-3 & V-1) KNHANES, which had blood insulin data, were chosen for the current study. Results: The chicken consumption was significantly associated with insulin (p for trend = 0.018) and HOMA-IR (p for trend = 0.023) in men. In particular, the 'weekly' chicken consuming men in the lowest tertile (< 65.0%) of carbohydrate intake group had significantly lower HOMA-IR (p for trend = 0.033) and higher QUICKI (p for trend = 0.043) than the 'rarely' intake group. In addition, the odds ratio for abnormal HOMA-IR was 0.55 (95% confidence interval [CI], 0.31-0.99) and QUICKI was 0.47 (95% CI, 0.26-0.86) for the 'weekly' chicken consuming group. Conclusion: The 'weekly' chicken consumption had a beneficial effect on insulin resistance and it may partially be due to the major bioactive components in chicken, histidine-containing dipeptides.

Development of Korean NOVA Food Classification and Estimation of Ultra-Processed Food Intake Among Adults: Using 2018 Korea National Health and Nutrition Examination Survey (한국형 NOVA 식품분류체계의 개발 및 한국 성인의 초가공식품 섭취량 추정: 2018년 국민건강영양조사 자료를 활용하여)

  • Hae Jin, Park;Sohyun, Park;Jee Young, Kim
    • Korean Journal of Community Nutrition
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    • v.27 no.6
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    • pp.455-467
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    • 2022
  • Objectives: In this study, we suggest a Korean NOVA food classification that can be applied to food consumption among Korean. Based on this suggestion, the nutritional intake of Korean adults from ultra-processed foods (UPFs) was estimated. Methods: Korean commercial food was categorized based on the NOVA food classification criteria through the Korea Food Code and expert meetings. Then, the nutrient intake status of 6,991 participants in the 2018 National Health and Nutrition Examination Survey was analyzed according to the food processing level. Then, 4,152 adult participants (age 19-65) were divided into quartiles on the basis of their intake of UPFs, and the nutrient intakes from UPFs were compared. Results: Korean NOVA Food Classification defines with priority Group I (Unprocessed/ Minimally processed foods) and Group II (Processed culinary ingredients) foods based on the food cooking or consumption. Then, Group III (Processed foods) and Group IV (UPFs) are classified according to whether the characteristics of the raw materials used are maintained or whether the food was consumed before the 1970s. Our analysis results showed that most of the calories in the diet were consumed by Group I (52.7%), followed by Group IV (29.3%). After categorization of the adult participants into four groups according to their energy consumption from UPFs, we found that the highest consumption group (Q4) was younger and had higher percentage of men than women. The comparative analysis of the consumption of ultra-processed foods by Korean adults revealed that participants of a younger age and men consumed higher energy from UPFs than older participants and women, respectively (P < 0.01). Furthermore, the larger intake of UPFs was associated with an increasing trend for a higher intake of energy, sugar, saturated fat (P for trend < 0.001), total fat (P for trend = 0.021), and sodium (P for trend = 0.005), whereas the intake of carbohydrate, protein, and dietary fiber had a decreasing trend (P for trend < 0.001). Conclusions: With the current increase in the consumption of processed and ultra-processed foods, it is important to carefully consider not only nutrient intake but also the level of food processing.

Fashion Consumption Culture in the Post-COVID-19 Era Identified through Big Data Analysis -Focusing on Articles in the Chinese Fashion Network LADYMAX.cn- (포스트 코로나19 시대의 패션 소비문화에 대한 빅데이터 분석 -중국 패션 네트워크인 LADYMAX.cn의 기사를 중심으로-)

  • Bin, Sen;Yum, Haejung;Shim, Soo In
    • Journal of Fashion Business
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    • v.25 no.2
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    • pp.80-97
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    • 2021
  • In this study, the changes in fashion consumption culture in the post-COVID-19 era were examined through big data analysis. Considering that the Chinese market plays a pivotal role in the global fashion industry, big data was collected in the most famous and professional fashion network in China, LADYMAX.cn. As a result of text mining and social network analysis, three major changes were identified as the emerging fashion consumption culture in the post-COVID-19 era. First, as a trend in new media consumption, COVID-19 disease and the development of digital technology tended to encourage consumers to put more importance on the relationship between bloggers and fans than previously. Second, as a trend in reward consumption, consumers tended to be rewarded for their hard work to relieve and comfort their high stress caused by spending a long time worrying about the prolonged COVID-19 situation. Third, as a trend in home-economy consumption, consumers tended to prefer homewear and sportswear more because they were spending longer times at home as the social distancing period was prolonged.

A Simulation Appraisal of Energy Performance in Office Building by Different Types of Air-Conditioning (공조방식에 따른 사무소 건물의 에너지 성능 평가)

  • Choi, Jong-Dae;Choi, Dong-Suk;Yun, Geun-Young
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.24 no.8
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    • pp.612-620
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    • 2012
  • High economic growth causes increase of the building energy consumption. The energy consumption for HVAC system accounts for 40~50% of the whole building consumption. The trend for building is large-scale and high-rise. Because of the trend, the energy consumption is becoming bigger than before. Nowadays, HVAC system design are recognized as the solution for a energy-saving. This paper is focused on the energy performance evaluation of central air-conditioning system(water-based) and system air-conditioning that were applied to the office building. The systems are modeled and simulated by using EnergyPlus Software 6.0. After the Simulation, annual cooling and heating energy consumption were calculated. It was found that the system air-conditioning can reduce the energy consumption approximately 55.24% annually compared with the central air-conditioning system(water-cooled). In addition, about 46.13% of annual operating costs can be reduced by use of system air-conditioning.

A study on the development strategy of home meal replacement in relation to the consumption trends (소비 트렌드에 따른 가정간편식 개발 전략)

  • Hong, Wan-Soo
    • Food Science and Industry
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    • v.50 no.3
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    • pp.2-32
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    • 2017
  • Due to the increasing demand for convenience and simplicity, Home Meal Replacement (HMR) has become a key trend in the food service industry. This study researched the current consumer trend and analyzed the national and international HMR product trend, aiming to find useful insights for the field. Results showed that in order to expand the HMR market demand, it is possible to consider diversifying the product category by making customized premium products, such as products for the elderly, infants, patients, and sports players, or products with enhanced nutritional fortification. From the industrial aspect, centralization through Central Kitchen (CK) and implementation of the scientific and advanced ISO and HACCP system are necessary. Lastly, to develop high value-added HMR products, it is deemed essential to utilize the so-called 'food tech', the technology which integrates core technologies of the fourth industrial revolution into the food industry.

Trend and prediction of the Ecological Footprint in Korea (우리나라 생태발자국(EF) 추이와 예측)

  • Yeo, Min Ju;Kim, Yong Pyo
    • Journal of Environmental Impact Assessment
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    • v.23 no.5
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    • pp.364-378
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    • 2014
  • Ecological Footprint (EF) in Korea has increased steeply over the past 50 years and, thus, the overshoot. It has been known that the main causes of the overshoot are population growth and the increase of the consumption intensity per person. In this study, the EF trend in Korea is analyzed for the past 50 years and it is found the major cause of the rapid increase of EF in Korea is the increase of the consumption intensity per person. Among the sectors of the consumption, Carbon Footprint (CF) from the energy consumption and Grazing Land Footprint and Fishing Grounds Footprint from the protein consumption are the major players for the increase. It is also found that if current trend of the EF per person would be maintained until 2060, EF in Korea would be expected to increase also continuously, despite of the decrease of the population from 2031. Therefore, the direction of the environmental management should be considered for inducing the change of the individual consumption patterns and the behavioral changes.

A Development of Trend Analysis Models and a Process Integrating with GIS for Industrial Water Consumption Using Realtime Sensing Data (실시간 공업용수 추세패턴 모형개발 및 GIS 연계방안)

  • Kim, Seong-Hoon
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.3
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    • pp.83-90
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    • 2011
  • The purpose of this study is to develop a series of trend analysis models for industrial water consumption and to propose a blueprint for the integration of the developed models with GIS. For the consumption data acquisition, a real-time sensing technique was adopted. Data were transformed from the field equipments to the management server in every 5 minutes. The data acquired were substituted to a polynomial formula selected. As a result, a series of models were developed for the consumption of each day. A series of validation processes were applied to the developed models and the models were finalized. Then the finalized models were transformed to the average models representing a day's average consumption or an average daily consumption of each month. Demand pattern analyses were fulfilled through the visualization of the finally derived models. It has founded out that the demand patterns show great consistency and, therefore, it is concluded that high probability of demand forecasting for a day or for a season is available. Also proposed is the integration with GIS as an IT tool by which the developed forecasting models are utilized.

Association of milk and dairy product consumption with the incidence of cardio-cerebrovascular disease incidence in middle-aged and older Korean adults: a 16-year follow-up of the Korean Genome and Epidemiology Study

  • Yeseung Jeong;Kyung Won Lee;Hyekyeong Kim;Yuri Kim
    • Nutrition Research and Practice
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    • v.17 no.6
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    • pp.1225-1237
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    • 2023
  • BACKGROUND/OBJECTIVES: Unhealthy dietary behaviors constitute one of risk the factors for chronic and cardiovascular diseases, which are prevalent in middle-aged and older populations. Milk and dairy products are high-quality foods and important sources of calcium. Calcium protects against osteoporosis and cardiovascular disease. Therefore, this study investigated the association of milk and dairy product consumption with cardio-cerebrovascular disease incidence in middle-aged and older Korean adults. SUBJECTS/METHODS: Data were derived from the Ansan-Anseong cohort study, and a total of 8,009 individuals aged 40-69 years were selected and followed up biennially. Cox proportional hazard models were used to examine the association of milk and dairy product consumption with cardio-cerebrovascular disease incidence. RESULTS: During a mean follow-up period of 96.5 person-months, 552 new cases of cardio-cerebrovascular disease were documented. Milk consumers (< 1 serving/day) exhibited a 23% lower risk of cardio-cerebrovascular disease incidence than non-milk consumers (hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.61-0.97; P for trend = 0.842). High yogurt consumption was associated with a 29% lower incidence risk (≥ 0.5 servings/day vs. none: HR, 0.71; 95% CI, 0.53-0.96; P for trend = 0.049), whereas high ice cream consumption was associated with a 70% higher risk of cardio-cerebrovascular disease incidence (≥ 0.5 servings/day vs. none: HR, 1.70; 95% CI, 1.01-2.88; P for trend = 0.070). CONCLUSIONS: This study indicates that less than one serving of milk and high yogurt consumption are associated with a lower cardio-cerebrovascular disease risk in the middle-aged and older populations.

Association Between Nut Consumption and Hypertension According to Sleep Duration Among Korean Adults (Aged 19-69 Years): 2010~2016 Korea National Health and Nutrition Examination Survey (우리나라 19-69세의 수면시간에 따른 견과류 섭취와 고혈압의 연관성: 2010~2016 국민건강영양조사 자료를 이용하여)

  • Fan, Xueying;Kim, Yookyung;Shin, Woo-Kyoung
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.103-117
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    • 2021
  • Nuts are cholesterol free with high poly-unsaturated fatty acids(PUFA) and have lower intakes of sodium than non-consumers, and thus they can decrease blood pressure. Hypertension is a common primary diagnosis in Korea. Because of extending exposure to 24-hour raised blood pressure and heart rate hypertension is likely to be caused by prolonged short sleep durations. This study examined the relationship between nut consumption and hypertension according to sleep duration among Korean adult. Based on data from the 2010-2016 Korea National Health and Nutrition Examination Survey(KNHANES), the final analytic sample(n=25,359) was used for current analysis. The dietary intake was assessed through a 24-hour recall method. Associations of nut consumption with sleep duration and hypertension were determined using multiple logistic regression with odds ratio(95% CI). All the analyses were carried out in SAS version 9.4, and the significance level was set at p<0.05. With increasing nut intake, the prevalence of hypertension significantly decreased(p for trend=0.02). After controlling for sleep duration, the nut consumption showed significant association with the prevalence of hypertension when sleep duration was 6 to 6.9 h per day(p for trend=0.03) or 7 to 7.9 h per day(p for trend=0.03). In conclusion, dietary total nut intake was found to be significantly associated with the prevalence of hypertension.