• Title/Summary/Keyword: Lifestyle intervention

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Changes in Dietary Life and Health-Related Lifestyle by Stress Level in Chinese International Students in Korea (중국 유학생들의 식생활 및 생활습관 변화와 스트레스 정도에 따른 차이)

  • Gao, Ran-Ran;Kim, Jung Hee
    • Journal of the Korean Dietetic Association
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    • v.24 no.1
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    • pp.75-91
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    • 2018
  • The purpose of this study was to investigate changes in dietary life, lifestyle factors, and stress status of Chinese students who came to study abroad to South Korea. A total of 143 Chinese students were recruited from Seoul Women's University and Wonkwang University in 2013. We used SPSS 20 for statistical analyses in this study. The mean length of residence was 2.9 years for Chinese students. Most subjects aged 20~29 years immigrated to South Korea to obtain an academic degree (bachelor, master, or doctorate). We found a significant decrease in the frequency of eating fruits and vegetables among Chinese students in South Korea after migration. Further, there was a significant increase in fast food consumption and frequency of late-night snacking and eating out. In addition, their preferred beverage changed from soft drink or tea to coffee after migration. Stress level significantly (P<0.05) increased in male students compared to female students. The high stress group watched more TV when eating compared to the low stress group. In addition, there were more students who perceived their health status as bad in the high stress group. Overall results give us useful information for targeting the most vulnerable subjects and planning nutrition intervention programs.

The development of a lifestyle modification mobile application, "Health for You" for overweight and obese breast cancer survivors in Korea

  • Seo, Su-Jin;Nho, Ju-Hee;Park, Youngsam
    • Women's Health Nursing
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    • v.27 no.3
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    • pp.243-255
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    • 2021
  • Purpose: This study aimed to develop a lifestyle modification (LSM) mobile application based on the Android operating system for overweight and obese breast cancer survivors (BCS) in Korea and evaluate its usability. Methods: The content analysis, design, development, implementation, and evaluation of the LSM intervention mobile application for overweight and obese BCS was conducted by identifying survivors' needs, searching the literature, and reviewing existing mobile applications. The survey was conducted from June 1 to December 28, 2020 at Jeonju, Korea. Results: The mobile application for BCS included dietary and exercise information, weight logs, as well as distress and daily achievement check. It also included information and videos on the prevention of breast cancer recurrence and used a communication bulletin board. Expert and user usability evaluation of its content and functions confirmed that it was appropriate and satisfactory for overweight and obese BCS. Conclusion: This LSM mobile application developed for overweight and obese BCS was found to be appropriate for use. It can be applied for further study of effectiveness on improving their health and maintaining a healthy lifestyle, to ultimately improve quality of life.

Do lifestyle factors influence risk of breast cancer recurrence in Korean women?: a cross-sectional survey

  • Park, So-Jung;Yeom, Hye-Ah
    • Women's Health Nursing
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    • v.28 no.2
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    • pp.145-153
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    • 2022
  • Purpose: This study aimed to investigate the influencing factors of breast cancer recurrence by comparing the risk factors and lifestyle patterns related to breast cancer in Korean women with and without recurrence. Methods: This cross-sectional survey comprised 241 Korean women diagnosed with breast cancer who had received follow-up treatment. Participants were recruited from a university hospital in Seoul and an online social media platform for breast cancer patients. Data were collected either via online or a paper survey, using a structured questionnaire that included general and disease-related characteristics and lifestyle behaviors. Data were analyzed using descriptive statistics, univariate analysis, and logistic regression. Results: Recurrence of breast cancer was influenced by four factors; childbirth experience, consumption of green/yellow vegetables, drinking behavior, and recovery from fatigue after sleep. Prevalence of recurrent breast cancer was associated with no childbirth experience (OR=2.29, p=.010), fewer green/yellow vegetables (OR=0.71, p=.008), drinking behavior (OR=0.24, p=.001), and a lower level of recovery from fatigue after sleep (OR=0.51, p<.001). Conclusion: Aside from having experienced childbirth, this study identified several modifiable factors that influence breast cancer recurrence. Increasing green/ yellow vegetable intake, alleviating fatigue, and reducing alcohol intake are important. Intervention strategies in clinical research and practice can be applied to address risk factors and reduce the prevalence of recurrent breast cancer.

Effect of Rehabilitation Intervention for Lifestyle Improvement of Spinal Cord Injury: Systematic Review of Randomized Controlled Trials and Meta-Analysis (척수 손상 환자의 라이프 스타일 개선을 위한 재활 중재 효과: 무작위 대조군 연구의 체계적 고찰 및 메타분석)

  • Ha, Sung Kyu;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.9 no.4
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    • pp.107-120
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    • 2020
  • Objective : The purpose of this study was to investigate the effectiveness and basis of rehabilitation intervention in patients with spinal cord injury by systematic review and meta-analysis of randomized controlled studies. Methods : Two researchers independently searched and selected a study published in an academic journal using a search term in an international thesis database. A total of 21 studies met the selection criteria, and qualitative evaluation of the study was conducted using the PEDro Scale. Meta-analysis was performed using Comprehensive Meta-Analysis 3.0 program. Results : A total of 713 subjects were included. The results of the meta-analysis showed a score of 0.406 (95.0% confidence interval: 0.221 ~ 0.591) for intervention using physical activity and 0.505 (95.0% confidence interval: 0.449 ~ 1.528) for electronic stimulation therapy, which showed medium effect; educational intervention had a 0.248 (95.0% confidence interval: 0.033 ~ 0.464), and mixed intervention 0.280 (95.0% confidence interval: 0.122 ~ 0.438). It was shown that the effect of small (small). There was a significant heterogeneity in the statistical heterogeneity test, and thus the random effects model was selected and analyzed. Conclusion : The results showed that rehabilitation interventions were effective for patients with spinal cord injury. During the rehabilitation of spinal cord injury patients, clinicians are expected to contribute to the development of programs to improve their lifestyles.

SoUth Korean study to PrEvent cognitive impaiRment and protect BRAIN health through Multidomain interventions via facE-to-facE and video communication plaTforms in mild cognitive impairment (SUPERBRAIN-MEET): Protocol for a Multicenter Randomized Controlled Trial

  • Soo Hyun Cho;Hae Jin Kang;Yoo Kyoung Park;So Young Moon;Chang Hyung Hong;Hae Ri Na;Hong-Sun Song;Muncheong Choi;Sooin Jeong;Kyung Won Park;Hyun Sook Kim;Buong-O Chun;Jiwoo Jung;Jee Hyang Jeong;Seong Hye Choi
    • Dementia and Neurocognitive Disorders
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    • v.23 no.1
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    • pp.30-43
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    • 2024
  • Background and Purpose: The SoUth Korea study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention (SUPERBRAIN) proved the feasibility of multidomain intervention for elderly people. One-quarter of the Korean population over 65 years of age has mild cognitive impairment (MCI). Digital health interventions may be cost-effective and have fewer spatial constraints. We aim to examine the efficacy of a multidomain intervention through both face-to-face interactions and video communication platforms using a tablet personal computer (PC) application in MCI. Methods: Three hundred participants aged 60-85 years, with MCI and at least one modifiable dementia risk factor, will be recruited from 17 centers and randomly assigned in a 1:1 ratio to the multidomain intervention and the waiting-list control groups. Participants will receive the 24-week intervention through the tablet PC SUPERBRAIN application, which encompasses the following five elements: managing metabolic and vascular risk factors, cognitive training, physical exercise, nutritional guidance, and boosting motivation. Participants will attend the interventions at a facility every 1-2 weeks. They will also engage in one or two self-administered cognitive training sessions utilizing the tablet PC application at home each week. They will participate in twice or thrice weekly online exercise sessions at home via the ZOOM platform. The primary outcome will be the change in the total scale index score of the Repeatable Battery for the Assessment of Neuropsychological Status from baseline to study end. Conclusions: This study will inform the effectiveness of a comprehensive multidomain intervention utilizing digital technologies in MCI.

Effects of Digital Exercise Intervention Using Artificial Intelligence (AI) on the Physical Abilities of Adults (인공지능(AI)을 이용한 디지털 운동중재가 성인의 신체능력에 미치는 영향)

  • So-Ra Moon;Sang-Ui Choi;Hoo-Man Lee;Kwang-Sub Song;Seung-Min Choi
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.1-13
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    • 2023
  • Purpose : Along with the rapid development of digital technology, the application of digital healthcare in the medical field is also increasing. According to many experts, increasing the amount of exercise and physical activity is a helpful way to prevent and manage physical problems in modern society. However, a lack of exercise, which is of the lifestyle of modern people, leads to the development of various diseases. This study aimed to examine the effects of digital exercise intervention using artificial intelligence (AI) on the physical abilities of adults whether digital exercise intervention can be a reliable and effective therapeutic option for musculoskeletal disorders in real-world clinical settings. Methods : In this study, exercise was conducted using a digital application to investigate the effects of an AI-based digital exercise intervention on the physical abilities of adults. A total of 13 adults were evaluated, and their physical abilities before and after the exercise intervention were compared. Hand-grip strength, functional leg muscle strength, dynamic balance, and quadriceps muscle strength were assessed. Exercise was performed using a digital application and in a non-face-to-face manner. AI identified the exercise status of each participant and adjusted the exercise difficulty level accordingly. The exercised daily for 4 weeks. Results : A total of 12 participants were analyzed for the final results. Significant improvements were observed in hand-grip strength, functional leg muscle strength (evaluated using the stand-up test), dynamic balance, and straight-gait ability (p<.05), indicating an increase in the overall muscular strength and physical function of the participants. Conclusions : Digital exercise intervention using AI is effective in improving physical abilities related to musculoskeletal function. It can be useful in clinical practice as an effective treatment option for patients with musculoskeletal disorders or muscle weakness.

Educational Intervention Based on the Health Belief Model to Modify Risk Factors of Cardiovascular Disease in Police Officers in Iran: A Quasi-experimental Study

  • Saffari, Mohsen;Sanaeinasab, Hormoz;Jafarzadeh, Hassan;Sepandi, Mojtaba;O'Garo, Keisha-Gaye N.;Koenig, Harold G.;Pakpour, Amir H.
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.4
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    • pp.275-284
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    • 2020
  • Objectives: Police officers may be at a greater risk for cardiovascular disease (CVD) than the general population due to their highstress occupation. This study evaluated how an educational program based on the health belief model (HBM) may protect police officers from developing CVD. Methods: In this single-group experimental study, 58 police officers in Iran participated in a 5-week intervention based on HBM principles. Outcomes included changes in scores on an HBM scale, time spent on moderate to vigorous physical activity (International Physical Activity Questionnaire), body mass index (BMI), blood lipid profile, blood glucose, and blood pressure. The intervention consisted of 5 HBM-based educational sessions. Follow-up was conducted at 3 months post-intervention. The paired t-test was used to examine differences between baseline and follow-up scores. Results: All aspects of the HBM scale improved between baseline and follow-up (p<0.05), except the cues to action subscale. Self-efficacy and preventive behaviors improved the most. BMI decreased from 26.7±2.9 kg/㎡ at baseline to 25.8±2.4 kg/㎡ at follow-up. All components of the lipid profile, including triglycerides, cholesterol, high-density lipoprotein, and low-density lipoprotein, showed significant improvements post-intervention. Blood glucose and blood pressure also decreased, but not significantly. Nearly 25% of participants who were not physically active at baseline increased their physical activity above or beyond the healthy threshold. Conclusions: A relatively brief educational intervention based on HBM principles led to a significant improvement in CVD risk factors among police officers. Further research is needed to corroborate the effectiveness of this intervention.

The effect of affecting Dietary Self-Efficacy and Physical Activity Self-Efficacy on Health-Promoting Lifestyle in school-age obese children (학령기 비만아동의 식이자기효능감과 운동자기효능감이 생활습관에 미치는 영향)

  • Ryu, Hyun-Sook;Cho, In-Sook
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.4
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    • pp.941-950
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    • 2021
  • This study was conducted to identify the factors affecting the health-promoting lifestyle of the school-age obese children. Method: Data Collection for this study was conducted form July 20 to August 2, 2019 using a structured questionnaire. We analyzed the collected data by frequency, percentage, ANOVA, t-test, Pearson's Correlation Coefficient, and Multiple Regression Analysis. Results: The factors affecting the health-promoting lifestyle of the subjects, multiple regression analysis results showed that Dietary Self-Efficacy(𝛽=.406, p=.001), Physical Activity Self-Efficacy(𝛽=.245, p=.038), Furthermore, the F statistics for the fitness of the estimated regression model were 6.34(p<.001), which was significant. The explanatory power was 24.2%. Conclusion: The results of this study showed that Dietary Self-Efficacy and Physical Activity Self-Efficacy of the school-age obese children was the most influential factor on health-promoting lifestyle. Consequently, the results of this study suggest that it is necessary to find ways to improve Dietary Self-Efficacy and Physical Activity Self-Efficacy in order to improve health-promoting lifestyle of nurses, and it is considered to be useful as basic data for developing intervention programs to improve health-promoting lifestyle.

Optimizing Nutrition Support in Cancer Care

  • Menon, Kavitha Chandrasekhara
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.6
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    • pp.2933-2934
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    • 2014
  • Involvement of a multidisciplinary team in cancer care may have added benefits over the existing system of patient management. A paradigm shift in the current patient management would allow more focus on nutritional support, in addition to clinical care. Malnutrition, a common problem in cancer patients, needs special attention from the early days of cancer care to improve quality of life and treatment outcomes. Patient management teams with trained oncology dietitians may provide quality personalized nutritional care to cancer patients.

Implementation Of User Preference Estimation Algorithm Using Implicit Feedback (Implicit Feedback을 통한 선호도 예측 알고리즘 구현)

  • Jang, Jeong-Rok;Kim, Yon-Gu;Kim, Do-Yeon
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.641-642
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    • 2008
  • In this paper, we propose a new approach for the implicit rating algorithm of finding user's intense and preference to the contents on the web. Although the explicit method dig out the user preference of specific contents based on the user's intervention, we propose the implicit method obtaining the user preference according to the user's behavioral patterns on the web implicitly and automatically without the user's intervention. The implementation results show that the proposed approach is highly valuable for supporting recommender systems in conjunction with the users lifestyle.

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