Publications by authors named "Sujeong Mun"

Article Synopsis
  • Metabolic syndrome raises risks for cardiovascular diseases, type 2 diabetes, and certain cancers, making its early detection important for targeted intervention.
  • This study examined the relationship between metabolic syndrome and heart rates measured by wearable devices in 564 middle-aged adults, finding that men with metabolic syndrome exhibited significantly higher heart rates compared to normal individuals, while women showed different patterns.
  • The results indicate that heart rate data from wearable devices could be more effective for identifying metabolic syndrome early than traditional clinical resting heart rates.
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Metabolic rate has been used in thermophysiological models for predicting the thermal response of humans. However, only a few studies have investigated the association between an individual's trait-like thermal sensitivity and resting energy expenditure (REE), which resulted in inconsistent results. This study aimed to explore the association between REE and perceived thermal sensitivity.

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Background: Patient-generated health data are important in the management of several diseases. Although there are limitations, information can be obtained using a wearable device and time-related information such as exercise time or sleep time can also be obtained. Fitbits can be used to acquire sleep onset, sleep offset, total sleep time (TST), and wakefulness after sleep onset (WASO) data, although there are limitations regarding the depth of sleep and satisfaction; therefore, the patient's subjective response is still important information that cannot be replaced by wearable devices.

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Background: Metabolic syndrome (MetS) is a complex condition that appears as a cluster of metabolic abnormalities, and is closely associated with the prevalence of various diseases. Early prediction of the risk of MetS in the middle-aged population provides greater benefits for cardiovascular disease-related health outcomes. This study aimed to apply the latest machine learning techniques to find the optimal MetS prediction model for the middle-aged Korean population.

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Unlabelled: A possible association between metabolic disorders and ambient temperature has been suggested, and cold exposure as a way of increasing energy expenditure has gained considerable interest for preventative/therapeutic measures toward metabolic disorders. Although thermal sensitivity, which has recently been studied in regard to its utility as a risk assessment/patient stratification for various diseases, might influence physiological responses to ambient temperature on an individual basis, more studies are needed. We aimed to investigate the association between self-identified thermal intolerance/sensation and metabolic syndrome (MetS) to verify the working hypothesis that individuals with altered thermal sensitivity may have a predisposition to MetS.

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Background: Machine learning may be a useful tool for predicting metabolic syndrome (MetS), and previous studies also suggest that the risk of MetS differs according to Sasang constitution type. The present study investigated the development of MetS prediction models utilizing machine learning methods and whether the incorporation of Sasang constitution type could improve the performance of those prediction models.

Methods: Participants visiting a medical center for a health check-up were recruited in 2005 and 2006.

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Many symptoms of heat pattern (HP) in traditional medicine are related to thermoregulation; however, research on the association between energy expenditure characteristics and HP is limited. We aimed to study the association between HP and resting energy expenditure (REE). A total of 109 participants were divided into the HP and non-HP groups based on a self-administered questionnaire and their REE was measured using an indirect calorimeter.

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Patients with amyotrophic lateral sclerosis (ALS) sometimes consider complementary and alternative medicine (CAM) because of ineffective treatment. This study investigated the prevalence and utilization pattern of CAM among patients with ALS in South Korea. Participants were recruited through homecare services for mechanical ventilation in South Korea.

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Background: Complementary and alternative medicine treatment for insomnia has been sought due to the possible adverse effects of conventional pharmacotherapies. We performed a preliminary evaluation of the feasibility of using, and of the effect of a herbal tea (HT002), based on Traditional East Asian Medicine, in mild-to-moderate insomnia.

Methods: Patients ( = 40) with mild-to-moderate insomnia were randomized to the HT002 ( = 20) or waitlist ( = 20) groups.

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Introduction: Prolonged fatigue is common among adults, yet only a small percentage of affected individuals seek medical attention. Following findings that complementary and alternative medicine can be effective strategies for improving fatigue, we evaluated the effect of an herbal tea regimen on prolonged fatigue.

Methods: In this pilot randomized controlled trial, participants with prolonged fatigue were randomly allocated to either a tea (n = 20) or control (n = 20) group.

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Introduction: Facial diagnosis is a major component of the diagnostic method in traditional East Asian medicine. We investigated the association of quantitative facial color features with cold pattern using a fully automated facial color parameterization system.

Methods: The facial color parameters of 64 participants were obtained from digital photographs using an automatic color correction and color parameter calculation system.

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Background: This study aimed to investigate the extent to which Korean Medicine doctors consider cold and heat pattern identification when prescribing herbal treatment for a disease.

Methods: A survey was sent by e-mail to 15,841 members of the Association of Korean Medicine for whom member information was registered. Of these, 699 (4.

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Background: The trend toward patient- or consumer-centered healthcare has been accelerated by advances in technology, consumer empowerment, and a shift from infectious to chronic diseases. The purpose of this study was to examine the growing self-care market by analyzing self-care patterns.

Methods: We conducted a cross-sectional, web-based survey involving adults from nine major cities in the UK, the USA, Australia, and Japan.

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Korean medicine (KM) patterns such as cold, heat, deficiency, and excess patterns have been associated with alterations of resting metabolic rate (RMR). However, the association of KM patterns with accurately measured body metabolic rate has not been investigated. Data on cold (CP), heat (HP), spleen-qi deficiency (SQDP), and kidney deficiency (KDP) patterns were extracted by a factor analysis of symptoms experienced by 954 participants.

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Background: Because the world population is aging, it has become increasingly important to focus on and meet the healthcare needs of elderly individuals. This study aims to evaluate the relationships among common symptoms experienced by the elderly, including fatigue, pain, sleep disturbance, indigestion, and depression/anger/anxiety, and to assess how these symptoms affect health-related quality of life (HRQoL) in the elderly population after adjusting for sociodemographic characteristics and diagnosed diseases.

Methods: In a cross-sectional study conducted in 2014 in a rural area of Korea, we extracted data on 1328 elderly individuals aged 60 years or older.

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Introduction: Manual therapy is the non-surgical conservative management of musculoskeletal disorders using the practitioner's hands on the patient's body for diagnosing and treating disease. The aim of this study is to systematically review trial-based economic evaluations of manual therapy relative to other interventions used for the management of musculoskeletal diseases.

Methods And Analysis: Randomised clinical trials (RCTs) on the economic evaluation of manual therapy for musculoskeletal diseases will be included in the review.

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Ethnopharmacological Relevance: Traditional Medical Knowledge (TMK) is a form of Traditional Knowledge associated with medicine that is handed down orally or by written material. There are efforts to document TMK, and make database to conserve Traditional Medicine and facilitate future research to validate traditional use. Despite of these efforts, there is no widely accepted template in data file format that is specific for TMK and, at the same time, helpful for understanding and organizing TMK.

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