Background: Chronic subscapularis tendon tear (SBT) is a degenerative disease and a common pathologic cause of shoulder pain. Several potential risk factors for chronic SBT have been reported. Although metabolic abnormalities are common risk factors for degenerative disease, their potential etiological roles in chronic SBT remains unclear. The purpose of this study was to investigate potential risk factors for chronic SBT, with particular attention to metabolic factors. Methods: This study evaluated single shoulders of 939 rural residents. Each subject undertook a questionnaire, physical examinations, blood tests, and simple radiographs and magnetic resonance imaging (MRI) evaluations of bilateral shoulders. Subscapularis tendon integrity was determined by MRI findings based on the thickness of the involved tendons. The association strengths of demographic, physical, social, and radiologic factors, comorbidities, severity of rotator cuff tear (RCT), and serologic parameters for SBT were evaluated using logistic regression analyses. The significance of those analyses was set at p<0.05. Results: The prevalence of SBT was 32.2% (302/939). The prevalence of partial- and full-thickness tears was 23.5% (221/939) and 8.6% (81/939), respectively. The prevalence of isolated SBT was 20.2% (190/939), SBT combined with supraspinatus or infraspinatus tendon tear was 11.9% (112/939). In multivariable logistic regression analysis, dominant side involvement (p<0.001), manual labor (p=0.002), diabetes (p<0.001), metabolic syndrome (p<0.001), retraction degree of Patte tendon (p<0.001), posterosuperior RCT (p=0.010), and biceps tendon injury (p<0.001) were significantly associated with SBT. Conclusions: Metabolic syndrome is a potential risk factor for SBT, as are these factors: overuse activity, diabetes, posterosuperior RCT, increased retraction of posterosuperior rotator cuff tendon, and biceps tendon injury.
This study aimed to compare energy nutrient intake, health related factors, physical characteristics, blood biochemical indices, prevalence of metabolic syndrome and odds ratio (OR) of metabolic syndrome based on dietary fat energy ratio. Subjects were 1,205 men aged 40~64 years. The average fat intake was 52.8 g. Subjects were divided into three groups (deficient, normal, excess) based on dietary fat energy ratio. The dietary fat energy rations of the three groups were 36.9%, 42.9% and 20.2%, respectively. Energy and protein intake were increased significantly with dietary fat energy ratio (p<0.001), whereas carbohydrate intake decreased (p<0.001). In health related factors, amount of smoking alone showed increase based on dietary fat energy ratio (p<0.001). In comparing physical characteristics, blood pressure and blood biochemical indices, excepting diastolic blood pressure, increased significantly based on dietary fat energy ratio (p<0.01~p<0.001). The rate that exceeded criteria in risk factors for metabolic syndrome was higher in the serum triglyceride (41.2%) and was lower in the waist circumference (22.2%). Prevalence of metabolic syndrome was 37.9%, and showed significant correlation to dietary fat energy ratio (p<0.05). The OR of metabolic syndrome was higher in deficient and excess group than in normal group, but it had no relationship between fat energy ratio and metabolic syndrome. The results of this study provide basic data to establish fat intake guidelines for prevention of metabolic syndrome in middle-aged men.
Metabolic syndrome is deeply related with risks of chronic disease and mortality. Furthermore, the metabolic syndrome disorder in childhood and adolescence usually tends to lead to a number of cardiovascular disease in the stage of adulthood. In this sense, metabolic syndrome needs to be investigated seriously. The purpose of this study is therefore to prove the relationship between dietary habits(high carbohydrate, high calorie) and metabolic syndrome among adolescents. We also aim to clarify the relationship between emotional factors perceived by adolescents and metabolic syndrome. Our empirical results based on KNHANES dataset significantly demonstrates that the HDL-cholesterol is a decisive factor for the diagnosis of metabolic syndrome disorder. Additionally, emotional experience factors such as stress also show significant effects in difference of adolescents' metabolic syndrome.
Objectives: Dietary modifications are common treatment strategies for adults with metabolic syndrome, but it is unclear how often these individuals read food labels. The objective of this study was to examine if adults with metabolic syndrome read food labels when buying packaged foods and to determine factors related to label use. Methods: From the database of the Fifth Korean National Health and Nutrition Examination Survey(KNHANES-V), 1,335 adults with metabolic syndrome and 3,696 those without were selected. Data were analyzed using frequency distributions, $X^2$ test and multiple logistic regression with the SPSS win 18.0 program. Results: Adults with metabolic syndrome read food labels less than individuals without it when they purchase packaged foods(12.5% vs 29.0%). Among those without metabolic syndrome, food label use was significantly higher among participants who were women, younger, educated, and trying to control weight. Conclusions: Strategies to use food label as a diet management tool for metabolic syndrome are needed.
Jo, Nam-Hee;Kwon, Gi-Hong;Park, Sang-Youn;Chun, Byung-Yeol
Journal of Korean Biological Nursing Science
/
v.20
no.2
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pp.84-91
/
2018
Purpose: The purpose of this study was to construct and test a structural equation model to investigate the risk factors of metabolic syndrome in rural women. Methods: The raw data in this study was collected from the Korean Genome and Epidemiology Study supervised by the Korea Centers for Disease Control and Prevention from 2005 to 2010. The data included physical examinations and surveys of 1,125 women, who resided in three rural areas of South Korea. The structural model in this study was composed of five latent variables: depression, stress, social support, health behavior, and metabolic syndrome. The structural equation model was used to assess the relationships among the variables. Results: The results of the study showed that depression and stress had direct effects on metabolic syndrome. Social support had a direct effect on health behavior and metabolic syndrome. Also, health behavior had a direct effect on metabolic syndrome. Conclusion: This study may serve as a guideline for interventions and strategies used to reduce metabolic syndrome in rural women.
Oh, Hyun Woo;Kim, Hyun Jung;Jun, Dae Won;Lee, Seung Min
Korean Journal of Community Nutrition
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v.20
no.6
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pp.460-467
/
2015
Objectives: Excess sodium intake has been linked to obesity and obesity-related indices. However, the scientific evidence for this association is inadequate. The purpose of this study was to investigate the association between urinary sodium excretion and obesity-related indices among Korean adults. Methods: A convenience sample of 120 subjects (60 obese and 60 non-obese subjects) were recruited applying frequency matching for sex and age between two groups. Sodium intake level was assessed through 24-hour urine collection. Obesity-related metabolic risk factors, including fasting blood lipid indices, subcutaneous and visceral fat through computed tomography (CT), insulin resistance indices, blood pressure and liver enzymes were measured in all subjects. These obesity-related metabolic risk factors were compared between obese and non-obese group according to sodium excretion levels (<110 mEq/day, 110~180 mEq/day, >180 mEq/day). Results: After adjusting for age, gender, health behaviors (smoking, exercise, drinking), and energy intake, several obesity-related metabolic risk factors, including abdominal circumference, body fat percentage, subcutaneous and visceral fat, triglyceride, and systolic blood pressure were found to be significantly deteriorated as the sodium excretion level increases. In addition, multivariate adjusted-odds ratios of abdominal obesity, high blood triglyceride, and high blood pressure were found significantly higher in the highest sodium excretion group compared to the lowest group. The mean number of metabolic syndrome risk factors was also significantly greater in the highest sodium excretion group than in the lowest group. Conclusions: The current study findings suggested that high sodium intake can affect obesity and metabolic syndrome risk negatively, implying the necessity of future research on low-sodium diet intervention in relation to obesity and related health problems.
Zinc deficiency is known to be associated with insulin resistance in obese individuals. This study was performed to evaluate the effect of zinc supplementation on insulin resistance and metabolic risk factors in obese Korean women. Forty obese women (body mass index (BMI) ${\geq}25kg/m^2$) aged 19-28 years were recruited for this study. Twenty women of the study group took 30 mg/day of supplemental zinc as zinc gluconate for 8 weeks and 20 women of control group took placebo. Usual dietary zinc intake was estimated from 3-day diet records. Insulin resistances were measured using Homeostasis model assessment (HOMA) indices, and insulin sensitivities Matsuda indices, which were calculated using oral glucose tolerance test data. Metabolic risk factors, such as waist circumference, blood pressure, fasting glucose, triglyceride, high density lipoprotein (HDL) cholesterol, and adipocyte hormones such as leptin, and adiponectin were also measured. At the beginning of study, dietary zinc averaged 7.31 mg/day and serum zinc averaged $12.98{\mu}mol/L$ in the study group. Zinc supplementation increased serum zinc by 15% and urinary zinc by 56% (P < 0.05). HOMA values tended to decrease and insulin sensitivity increased slightly in the study group, but not significantly so. BMI, waist circumference, blood pressure, blood glucose, triglyceride, HDL cholesterol, and adipocyte hormones did not change in either the study or control group. These results suggest that zinc status may not affect insulin resistance and metabolic risk factors in obese Korean women. Further research is required on a larger cohort with a longer follow-up to determine the effects of zinc status on insulin resistance and metabolic variables.
Purpose: The purpose of this study was to identify influencing factors of metabolic index and cardiovascular risk factors, on depressive and non-depressive groups, in vulnerable diabetic elderly women. Methods: Participants were 137 vulnerable diabetic elderly women, using health centers in D city. Data were collected through interviews September though December 2017. The metabolic index was measured using National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III), and cardiovascular risk factors were measured using Framingham Risk Score (FRS). Depressive and non-depressive groups were divided by the score of Geriartric Depress Scale Short Korea Version (GDSSF). Collected data were analyzed using a x2 test, independent t-test, and binary logistic regression, with the SPSS/WIN 25.0 program. Results: Vulnerable diabetic elderly women, did not exercise in the depressive groups, and had higher triglyceride (TG), total cholesterol (TC) and larger waists, than in the non-depressive group. Results show that lack of exercise (OR= 6.30), is the highest risk factor, influencing the depressive symptom in vulnerable diabetic elderly women. Conclusion: These results suggest that to reduce depressive symptom levels among vulnerable diabetic elderly women, nursing interventions are needed to increase exercise and decrease TG, TC, and waist size, particularly in improving exercise of vulnerable diabetic elderly women.
Kim, Ki Young;Dong, Jae Yong;Han, Seung Yeon;Lee, Kwang-Soo
Health Policy and Management
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v.27
no.1
/
pp.47-55
/
2017
Background: This study purposed to analyze the effects of metabolic syndrome on the total medical charge of patients. Methods: 2013 National Health Insurance Service sample research database (eligibility database, medical database, and health examination database) was used for this study. Gamma regression was applied to analyze the effects of metabolic syndrome on the total medical charge and logistic regression was used to determine the probability of medical charge which was higher than the third quartile. Sociodemographic characteristics (age and household income), health behavior factors (smoking, drinking, exercise, and body mass index), and disease related factors (family history and metabolic syndrome) were included as the independent variables. Results: people who had metabolic syndrome spent more medical expenses than those without metabolic syndrome both in man and woman group. The standard regression coefficient was 0.09 (p< 0.001) in man with metabolic syndrome and 0.16 (p< 0.001) in woman. In addition, woman with metabolic syndrome spent more than the third quartile of medical charge. The odds ratios was 1.04 (p= 0.16) for man with metabolic syndrome and 1.18 (p= 0.013) for woman. Conclusion: people with metabolic syndrome spent more medical charge, so it will need to consider policy interventions for preventing the incidence and management of metabolic syndrome in Korean people.
Objectives: The purpose of this study is to identify prevalence and related factors of the elderly, who took health examination, with metabolic syndrome. Methods: The health examination and lifestyle survey were performed for 21,512 adults at 60 years of age or older who took health examination in H health promotion center during January-March 2009. Results: The prevalence of metabolic syndrome for the subject was 24.0%. Of the subject with metabolic syndrome, the prevalence of the diseases was obesity 60%, abdominal obesity 78.5%, hypertension 82.6%, dyslipidemia 89.7% and diabetes 51.9%. In comparison of the relationship between metabolic syndrome and other diseases, the male subject with metabolic syndrome were significantly higher in BMI, waist circumference, systolic/diastolic blood pressure, hemoglobin, AST, ALT, $\gamma$-GTP, TG, AC glucose, creatinine than normal male(p<0.001). In comparison of the relationship between metabolic syndrome and lifestyle, more drinking frequency and amount in male and more drinking frequency in female were associated with increased risk of metabolic syndrome(p<0.01). Regardless of exercise intensity, practice of exercise contributed to reduce the risk of metabolic syndrome(p<0.01). Conclusion: In conclusion, TLC program, focused on lifestyle behaviors which is strongly associated with the prevalence of metabolic syndrome, should be developed for the improvement of life quality in the elderly with metabolic syndrome.
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