Journal of Yeungnam Medical Science

Review article

Beneficial effects of intermittent fasting: a narrative review: Dae-Kyu Song, Yong-Woon Kim; J Yeungnam Med Sci. 2023;40(1):4-11. Published online April 4, 2022; DOI: https://doi.org/10.12701/jyms.2022.00010

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Caloric restriction is a popular approach to treat obesity and its associated chronic illnesses but is difficult to maintain for a long time. Intermittent fasting is an alternative and easily applicable dietary intervention for caloric restriction. Moreover, intermittent fasting has beneficial effects equivalent to those of caloric restriction in terms of body weight control, improvements in glucose homeostasis and lipid profiles, and anti-inflammatory effects. In this review, the beneficial effects of intermittent fasting are discussed.

Citations

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Intermittent fasting and longevity: From animal models to implication for humans
Olha Strilbytska, Svitlana Klishch, Kenneth B. Storey, Alexander Koliada, Oleh Lushchak
Ageing Research Reviews.2024; 96: 102274. CrossRef
Maternal intermittent fasting deteriorates offspring metabolism via suppression of hepatic mTORC1 signaling
Wenzhen Yin, Lijun Sun, Yuan Liang, Chao Luo, Tiange Feng, Yunhua Zhang, Weizhen Zhang, Yue Yin
The FASEB Journal.2023;[Epub] CrossRef
Time-Restricted Feeding and Intermittent Fasting as Preventive Therapeutics: A Systematic Review of the Literature
Arturo P Jaramillo, Javier Castells, Sabina Ibrahimli, Luisa Jaramillo, Rebeca R Briones Andriuoli, Denisse Moncada, Jhoanny C Revilla
Cureus.2023;[Epub] CrossRef

Original article

Age-related low skeletal muscle mass correlates with joint space narrowing in knee osteoarthritis in a South Korean population: a cross-sectional, case-control study: Hyun-Je Kim, Young-Hoon Hong; J Yeungnam Med Sci. 2022;39(4):285-293. Published online February 3, 2022; DOI: https://doi.org/10.12701/jyms.2021.01536

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Abstract PDF

Background
This study was conducted to analyze the effects of low skeletal muscle mass index (SMI) and obesity on aging-related osteoarthritis (OA) in the Korean population.
Methods
A total of 16,601 participants who underwent a dual-energy X-ray absorptiometry and 3,976 subjects with knee X-rays according to the modified Kellgren-Lawrence (KL) system were enrolled. Knees of ≥KL grade 2 were classified as radiologic OA. The severity of joint space narrowing (JSN) was classified by X-rays as normal, mild-to-moderate, and severe JSN in radiologic OA. The subjects were grouped as normal SMI (SMI of ≥–1 standard deviation [SD] of the mean), low SMI class I (SMI of ≥–2 SDs and <–1 SD), and low SMI class II (SMI of <–2 SDs). Obesity was defined as a body mass index (BMI) of ≥27.5 kg/m2.
Results
The modified KL grade and JSN severity were negatively correlated with the SMI and positively correlated with BMI and age. The SMI was negatively correlated with age. JSN severity was significantly associated with a low SMI class compared to a normal SMI, which was more prominent in low SMI class II than class I. Obesity was significantly associated with more severe JSN, only for obesity with a low SMI class. Furthermore, patients with a low SMI class, regardless of obesity, were prone to having more severe JSN.
Conclusion
This study suggested that a low SMI class was associated with aging and that an age-related low SMI was more critically related to the severity of JSN in OA.

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Causal relationship between sarcopenia and osteoarthritis: a bi-directional two-sample mendelian randomized study
Jiyong Yang, Peng Liu, Shuai Wang, Tao Jiang, Yilong Zhang, Wengang Liu
European Journal of Medical Research.2023;[Epub] CrossRef

Review

Obesity and Insulin Resistance in Childhood.: Kwang Hae Choi; Yeungnam Univ J Med. 2012;29(2):73-76. Published online December 31, 2012; DOI: https://doi.org/10.12701/yujm.2012.29.2.73

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Abstract PDF: More and more children are becoming obese and overweight due to several factors that include a high energy density in the diet (a high fat intake) and low energy expenditure. Consequently childhood obesity is becoming a significant health problem. Fat tissue releases many cytokines such as resistin, tumor necrosis factor-alpha, leptin, interleukin-6. These adipocytokines induce obesity-related insulin resistance. Insulin resistance is a key component of obesity-related metabolic problems such as hypertension, type 2 diabetes mellitus, dyslipidemia, non-alcoholic steatohepatitis, acanthosis nigricans and polycystic ovarian syndrome. This review article focused on insulin resistance and its related metabolic diseases.

Original Articles

Life Style and Perception of Obesity of Male White Collar Workers.: Ji Hyeon Kim, Joon Sakong; Yeungnam Univ J Med. 2007;24(2):287-295. Published online December 31, 2007; DOI: https://doi.org/10.12701/yujm.2007.24.2.287

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Abstract PDF

BACKGROUND
This study investigated and analyzed the life style of male white-collar workers and their perception of obesity to determine how to improve eating habits and prevent obesity. MATERIALS AND METHODS: Using the questionnaires distributed to and collected from 300 male white-collar workers in Daegu, the survey was conducted from December 20, 2005 to February 28, 2006. Two hundred sets of collected questionnaires were used for the analysis, and SPSS WIN 12.0 was employed to analyze the data. RESULTS: Forty-two percent of subjects had weights ranging between 71 kg and 80 kg; 39.5%, weighted between 61 kg and 70 kg. The waist measurements of 64.5% of all respondents were between 32 and 34 inches. The lifestyle questions found that 54% of respondents were smokers and 88.5% drank alcohol. In addition, 62.5% of all respondents reported doing exercise, whereas 37.5% reported no exercise. CONCLUSION: The height and weight of 200 respondents were used to calculate the body mass index (BMI). Only 31.6% had a normal BMI, whereas 32% were found to be overweight, a condition likely to lead to obesity. Meanwhile, 36.5% of respondents were obese or morbidly obese.

Citations

Citations to this article as recorded by

Factors Associated With Cardiovascular Disease Prevention Behavior Among Office Workers Based on an Ecological Model
Jihyon Pahn, Youngran Yang
SAGE Open.2021; 11(1): 215824402110041. CrossRef
Effects of Obesity Management Program Provided by Occupational Health Nurse in Worksite
Sohyune R. Sok, Ok Sun Kim, Mi Hee Park
Western Journal of Nursing Research.2019; 41(5): 728. CrossRef
The Effects of Obesity Stress, Weight Bias, and Heath Care on BMI in Soldiers of Non-combat Area
Kyeng Jin Kim, Yeon Kyung Na
Korean Journal of Occupational Health Nursing.2016; 25(3): 199. CrossRef
Comparison in Convergence Factors in Stress of Workers in the Field of Railroad Electricity and Vehicles by their working position
Byeong-Rock Jeon, Hyun-Ju Lee
Journal of Digital Convergence.2016; 14(4): 337. CrossRef
The Relationship between Lifestyle and Health Status among White Collar Workers in a Community
Ji-Min Lee, Young-Sook Kwon, Kyung-Shin Paek
Journal of Digital Convergence.2014; 12(8): 411. CrossRef
Diet and Lifestyle Factors Affecting Obesity: A Korea National Health and Nutrition Survey Analysis
Chang-Keun Kwock, Jung-Min Lee, Eun-Mi Kim, Min-A Lee
Preventive Nutrition and Food Science.2011; 16(2): 117. CrossRef

Association Analyses of beta3AR Trp64Arg and UCP-2 -866G/A Polymorphisms with Body Mass Index in Korean.: Hong Soo Jung, Joo Hyun Lee, Jun Sakong, Sung Wook Bae, Jung Hye Kim, Jae Ryong Kim; Yeungnam Univ J Med. 2007;24(2):252-261. Published online December 31, 2007; DOI: https://doi.org/10.12701/yujm.2007.24.2.252

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Abstract PDF

BACKGROUND
Obesity is the most common nutritional disorder in Western society as well as in Korea. Obesity results from a combination of genetic, environmental, and behavioral factors. MATERIALS AND METHODS: In an attempt to investigate the association of obesity with its candidate genes, beta3 adrenergic receptor (beta3AR) and uncoupling protein 2 (UCP2), we analyzed polymorphisms of beta3AR Trp64Arg and UCP2 -866G/A by PCR-RFLP analysis and the obesity-related phenotypes, including body mass index (BMI), fasting glucose concentration, and plasma lipid profiles in 750 subjects. RESULTS: The Trp64Arg polymorphism in the beta3AR gene was not statistically associated with the BMI. The UCP2 -866G/A polymorphism was significantly higher in obese than in non-obese subjects (P<0.05). However, the UCP2 -866A/A polymorphism was higher in the non-obese subjects. CONCLUSION: These results suggest that the UCP2 -866G/A polymorphism might be more useful for the prediction of obesity and obesity-associated diseases in Korean patients than the beta3AR Trp64Arg polymorphism.

Citations

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Clinical Course of Bipolar Disorder in Children and Adolescents
Na-Ri Kang, Young-Sook Kwack
Journal of korean Academy of Child and Adolescent Psychiatry.2012; 23(1): 3. CrossRef

Association between Obesity and Prostate Cancer.: Chang Jun Yoon, Ki Hak Moon, Tong Choon Park; Yeungnam Univ J Med. 2005;22(2):199-210. Published online December 31, 2005; DOI: https://doi.org/10.12701/yujm.2005.22.2.199

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Abstract PDF: BACKGROUND
The role of obesity in prostate cancer etiology remains controversial. The aim of this study was to evaluate the relationship between obesity and prostate cancer risk. MATERIALS AND METHODS: Between January 2000 and June 2005, 286 patients suspected of having prostate cancer underwent prostate biopsy. The clinical records of the 286 study patients were retrospectively reviewed with regard to age, Body Mass Index (BMI), serum PSA, TRUS, and prostate biopsy results. They were stratified by BMI into three groups according to the cutoffs recommended for Asian populations: normal, BMI less than 23 kg/m2; overweight, BMI 23 to 25 kg/m2; and obese, BMI greater than 25 kg/m2. RESULTS: As for BMIs, 132 (46.2%) were normal, 95 (33.2%) overweight and 59 (20.6%) were obese. A total of 99 (34.6%) patients were diagnosed as having prostate cancer. In multivariate logistic regression analyses, no significant association was observed between BMI and prostate cancer detection. CONCLUSION: We initially hypothesized that obesity may be biologically associated with increased prostate cancer development. However, our study did not show a significant association between BMI and prostate cancer.

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