scholarly journals Association of Metabolically Healthy Obesity and Future Depression: Using National Health Insurance System Data in Korea from 2009–2017

2020 ◽  
Vol 18 (1) ◽  
pp. 63
Author(s):  
Yongseok Seo ◽  
Seungyeon Lee ◽  
Joung-Sook Ahn ◽  
Seongho Min ◽  
Min-Hyuk Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Metabolic Status ◽  
National Health Insurance System ◽  
Metabolically Healthy Obese ◽  
Healthy Obese ◽  
Metabolically Healthy

(1) Background: The health implications associated with the metabolically healthy obese (MHO) phenotype, in particular related to symptoms of depression, are still not clear. the purpose of this study is to check whether depression and metabolic status are relevant by classifying them into four groups in accordance with the MHO diagnostic standard. Other impressions seen were the differences between sexes and the effects of the MHO on the occurrence of depression. (2) Methods: A sample of 3,586,492 adult individuals from the National Health Insurance Database of Korea was classified into four categories by their metabolic status and body mass index: (1) metabolically healthy non-obese (MHN); (2) metabolically healthy obese (MHO); (3) metabolically unhealthy non-obese (MUN); and (4) metabolically unhealthy obese (MUO). Participants were followed for six to eight years for new incidences of depression. The statistical significance of the general characteristics of the four groups, as well as the mean differences in metabolic syndrome risk factors, was assessed with the use of a one-way analysis of variance (ANOVA). (3) Results: The MHN ratio in women was higher than in men (men 39.3%, women 55.2%). In both men and women, depression incidence was the highest among MUO participants (odds ratio (OR) = 1.01 in men; OR = 1.09 in women). It was concluded as well that, among the risk factors of metabolic syndrome, waist circumference was the most related to depression. Among the four groups, the MUO phenotype was the most related to depression. Furthermore, in women participants, MHO is also related to a higher risk of depressive symptoms. These findings indicate that MHO is not a totally benign condition in relation to depression in women. (4) Conclusion: Therefore, reducing metabolic syndrome and obesity patients in Korea will likely reduce the incidence of depression.

The Association of Adolescent Fatness and Fitness With Risk Factors for Adult Metabolic Syndrome: A 22-Year Follow-up Study

2014 ◽  
Vol 11 (4) ◽  
pp. 823-830 ◽  
Author(s):  
Yoonsuk Jekal ◽  
YoonMyung Kim ◽  
Ji Eun Yun ◽  
Eun Sung Kim ◽  
Masayo Naruse ◽  
...  
Keyword(s):  
Risk Factors ◽  
High School ◽  
Metabolic Syndrome ◽  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Health Examination ◽  
Follow Up Study ◽  
Fitness Levels

Background:Few studies have been conducted to explore the associations of fatness and fitness during adolescence with risk factors of metabolic syndrome (MetS) during adulthood, particularly in Asians.Methods:Adolescent anthropometric and fitness data were collected during the participants’ high school years (N = 15,896) and their corresponding health examination data from adulthood were taken from the National Health Insurance Corporation (NHIC) in Korea. A total of 1,006 participants (6.3%) were analyzed in the study.Results:The odds ratios (ORs) for being overweight (BMI ≥ 25 kg/m2) during adulthood was 11.87 (95% CI: 4.19–33.59) in men and 8.44 (95% CI: 1.78–40.02) in women, respectively, in the fattest group vs. the leanest group during adolescence. Participants with low fitness levels during adolescence were more likely to be overweight and have abnormal MetS risk factors in adulthood vs. those with high fitness levels. Joint exposure analyses of fatness and fitness showed that male participants who were more fat and unfit during adolescence had 4.11 (95% CI: 1.19–14.14) and 3.04 (95% CI: 1.17–11.12) times higher risk of having abnormal glucose and MetS risks during adulthood, respectively.Conclusions:Fatness and fitness levels during adolescence appear to be significantly associated with the MetS risk factors and prevalence in adulthood in Koreans.

scholarly journals The prevalence of metabolically healthy obesity according to the sample of the Moscow region

2017 ◽  
Vol 14 (4) ◽  
pp. 51-56 ◽  
Author(s):  
Elena V. Ostrovskaya ◽  
Tatiana I. Romantsova ◽  
Andrei N. Gerasimov ◽  
Tamara E. Novoselova
Keyword(s):  
Metabolic Syndrome ◽  
Carbohydrate Metabolism ◽  
Medical Records ◽  
Density Lipoprotein ◽  
Homa Index ◽  
Obese Patients ◽  
Hip Circumference ◽  
Metabolically Healthy Obese ◽  
Healthy Obese ◽  
Metabolically Healthy

Introduction. Obesity is a major factor for cardiometabolic risk. However, there is a category of obese patients without disorders of lipid, carbohydrate metabolism and cardiovascular disease metabolically healthy obese (MHO). Aim. Our goal was to investigate the prevalence and characteristics of this phenotype compared to patients with metabolic syndrome (MS). Materials and methods. To evaluate the prevalence of the MHO phenotype we analyzed 389 medical records of females aged 1860 years with obesity. Three types of MHO criteria were used: 1) HOMA index (2.7); 2) IDF-criteria of metabolic syndrome, 2005; 3) the BioSHaRE-EU 2013 criteria (obese patients without any symptoms of MS). We conducted a comparative analysis of anthropometry, status of lipid and carbohydrate metabolism, the functional state of the liver. Results. The MHO prevalence was: 34.5% according to HOMA index, according to the definitions of MS 2005 38.6%, in BioSHaRE-EU 9.6%. In groups of MHO and MS dyslipidemia was observed in 27.3 and 49.5% (p0.05), hypertension in 25% and 71.6% (p0.05), steatogepatosis in 47.7% vs 51.3% (p0.05) of observations, respectively. Among comorbidities the gynecological pathology was most prevalent - 50.8 and 61.4% (p0.05), disorders of carbohydrate metabolism differed significantly in frequency- 6.82 and 39.1% of patients (p0.05). Patients with MHO had a shorter duration of the existence of obesity than MS (18.7 vs. 24 years) (p=0.0004) and less likely to have attempted to reduce weight 85.8% and 91.6%. Average BMI, waist circumference, hip circumference, fasting glucose, total cholesterol, insulin basal, basal C-peptide, HOMA index in groups of MHO and MS differed significantly (p0.05). Median ALT was 20 and 23.2 U/l, AST 20 and 23 U/l, triglycerides 1.1 and 1.8 mmol/l, high-density lipoprotein 1.4 and 1.1 mmol/l, respectively. Conclusions. The MHO prevalence was maximal according to the MS definitions from 2005, and minimal with BioSHaRE-EU criteria. The main analyzed indicators differed significantly in groups MHO and MS. Longer obesity existence in the MS group may suggest an instability of MHO phenotype over time.

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