Non-central Obesity Research Articles

Decoding the fatty liver-hyperuricemia link in the obese and nonobese hypertensive patients: insights from a cohort study

Metabolic-dysfunction-associated fatty liver disease (MAFLD) and serum uric acid are closely related to cardiovascular and cerebrovascular diseases. However, the causal association between MAFLD and serum uric acid remains unclear. A total of 3417 patients without hyperuricemia were included in the final analysis. MAFLD was defined as fatty liver index (FLI) ≥ 30. Multivariate Cox regression analysis was used to explore the association between FLI and new-onset hyperuricemia. Restricted cubic splines and threshold saturation effect analysis were used to detect nonlinear associations. The mean age was 62.8 ± 8.3 year, and 68.5% were women. A total of 738 (21.6%) hypertensive patients developed new-onset hyperuricemia, 388 (11.4%) new-onset hyperuricemia10 and 190 (5.6%) new-onset hyperuricemia20 during the 4-year midday follow-up period. In the fully adjusted model, compared with the Q1 (FLI ≤ 8.5) group, the risk of hyperuricemia increased by 56% (HR: 1.56; 95% CI: 1.02, 2.38) in the Q4 (FLI > 39.4) group, new-onset hyperuricemia10 increased by 108% (HR: 2.08; 95% CI: 1.15, 3.78), and new-onset hyperuricemia20 increased by 156% (HR: 2.56; 95% CI: 1.11, 5.94), respectively. Saturation effects showed a nonlinear association between FLI and new-onset hyperuricemia (p for log likelihood ratio test < 0.05). Subgroup analysis and stratified analysis showed that there had a significantly higher risk of new-onset hyperuricemia in the patients with normal body mass index (< 24 kg/m2) (p for interaction: 0.018) and non-central obesity (p for interaction: 0.024). MAFLD is an independent risk factor for hyperuricemia in hypertensive patients, especially in patients with normal body mass index and non-central obesity.

The Relationship Between Central Obesity and Osteoarthritis in US Adults: The Mediating Role of Biological Aging Acceleration

Objective This study aims to investigate the association between central obesity and the risk of osteoarthritis, and the mediating role of biological age and biological aging advance in this relationship. Methods The study is based on data from the National Health and Nutrition Examination Survey (NHANES) for the years 2005–2018. Thirteen commonly used clinical traits were used to calculate the Klemera-Doubal method age (KDM-Age) and phenotypic age (Pheno-Age) as two measures of biological aging. Additionally, KDM-Age advance and Pheno-Age advance were calculated as two measures of biological aging advance. Weighted multivariable logistic regression was used to analyze the association between central obesity and the risk of osteoarthritis (OA). Mediation analysis was then applied to elucidate the role of biological aging and biological aging advance in this relationship. Results A total of 31,162 subjects aged ≥20 years were included in this study, of which 3,964 subjects reported having OA (14%). Compared to the Non-OA group, the OA group showed significantly higher proportions of central obesity, KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance. Compared to the Non-central obesity group, the central obesity group had higher KDM-Age, KDM-Age advance, PhenoAge, PhenoAge advance, and a higher risk of OA (p < 0.05). Additionally, higher KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance were positively correlated with the risk of OA (p < 0.05). Mediation analysis revealed that part of the association between central obesity and the risk of OA was mediated by KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance (p < 0.05). Conclusion Central obesity increases the risk of OA, with part of this association being mediated by biological aging and biological aging advance.

Associations of body mass index and waist circumference with risk of chronic kidney disease in adults in China

Objective: To examine the associations of BMI and waist circumference (WC) with the risk of chronic kidney disease (CKD) and its subtypes in adults in China. Methods: The data from the China Kadoorie Biobank were used. After excluding those with cancer, coronary heart disease, stroke, or CKD at baseline survey, 480 430 participants were included in this study. Their body height and weight, and WC were measured at baseline survey. Total CKD was defined as diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), obstructive nephropathy (ON), CKD due to other causes, and chronic kidney failure. Cox proportional hazards regression model was used to estimate the associations between exposure factors and risks of outcomes. Results: During a follow-up period of (11.8±2.2) years, 5 486 cases of total CKD were identified, including 1 147 cases of DKD, 340 cases of HTN, 1 458 cases of GN, 460 cases of CTIN, 598 cases of ON, 418 cases of CKD due to other causes, and 1 065 cases of chronic kidney failure. After adjusting for socio-demographic factors, lifestyle factors, baseline prevalence of hypertension and diabetes, and WC and compared to participants with normal BMI (18.5-23.9 kg/m2), the hazard ratios (HRs) of total CKD for underweight (<18.5 kg/m2), overweight (24.0-27.9 kg/m2), and obese (≥28.0 kg/m2) were 1.42 (95%CI: 1.23-1.63), 1.00 (95%CI: 0.93-1.08) and 0.98 (95%CI: 0.87-1.10), respectively. Stratification analysis by WC showed that BMI was negatively associated with risk for total CKD in non-central obese participants (WC: <85.0 cm in men and <80.0 cm in women) (HR=0.97, 95%CI: 0.96-0.99), while the association was positive in central obese participants (≥90.0 cm in men and ≥85.0 cm in women) (HR=1.03, 95%CI: 1.01-1.05). The association between BMI and GN was similar to that of total CKD. BMI was associated with an increased risk for HTN, with a HR of 1.12 (95%CI: 1.06-1.18) per 1.0 kg/m2 higher BMI. After adjusting for potential confounders and BMI, compared to participants with non-central obesity, the HRs for pre-central obesity (WC: 85.0-89.9 cm in men and 80.0-84.9 in women) and central obesity were 1.26 (95%CI: 1.16-1.36) and 1.32 (95%CI: 1.20-1.45), respectively. With the exception of HTN and CTIN, WC was positively associated with risks for all CKD subtypes. Conclusions: BMI-defined underweight and central obesity were independent risk factors for total CKD, and BMI and WC had different associations with risks for disease subtypes.

Central Obesity as A Risk Factor For Prediabetes

Central obesity has become a health problem and is associated with the incidence of prediabetes. Prediabetes is characterized by impaired fasting blood glucose (GDPT) or impaired glucose tolerance (TGT) or both without any complaints and symptoms, and is a condition that precedes the occurrence of type 2 diabetes mellitus. This study aims to prove central obesity as a risk factor for prediabetes by calculating the prevalence ratio. The method of this research is observational analysis with a cross-sectional design approach. The respondents of the study were the community around the work area of the Jati Ranggon health center who met the inclusion and exclusion criteria, totaling 1241 people, 523 men and 718 women. The prevalence of central obesity in this study was 39.6%. The prevalence of prediabetes is 18.8%, prediabetes with central obesity is 27.9% and non-central obesity prediabetes is 12.8%. Bivariate analysis with chi-square showed a relationship between age and the incidence of prediabetes (RP=1.62, 95% CI 1.24-2.11 and p= &lt;0.001), hypertension with the incidence of prediabetes (RP=1.58CI 95% 1.22-2.04, p=&lt;0.001), gender with prediabetes (RP=1.47, 95% CI 1.12-1.94, and p=0.005), general obesity with prediabetes (RP=1.87, 95% CI 1.44-2.42 and p=&lt;0.001), smoking with the incidence of prediabetes (RP= 0.54, 95% CI 0.33-0.88 and p=0.013). The results of multivariate analysis with cox regretion showed that the variables that affected prediabetes were central obesity (RP=1.87, CI95% 1.40-2.50, p=&lt;0.001) and general obesity (RP=1.42, CI95% 1.06-1.89, p=0.017). Central obesity is a risk factor for prediabetes with a prevalence ratio of 2.18.

The characteristics and risk of obesity central and concomitant impaired fasting glucose: Findings from a cross-sectional study.

Obesity is associated with concomitant chronic conditions. An early metabolic consequence of obesity is disruption of glucose and insulin homeostasis. One of the consequences is impaired fasting glucose (IFG). Visceral fat is metabolically more harmful than subcutaneous fat, but few information is available regarding the association between the risk of abnormal glucose in increased waist circumference. This study is based on a cross sectional of 1,381 population-based from Palembang, Indonesia. The eligibility requirements subject were to be older than 18 and consent to taking fasting glucose and lipid profile tests as well as physical exams measuring their body weight, height, blood pressure, abdominal circumference, and waist circumference. The number of subjects consisting of 798 noncentral obesity with normoglycemia, 376 central obesity with normoglycemia, and 207 central obesity with concomitant IFG. The prevalence central obesity with concomitant IFG was 35.51%. In subjects with central obesity, there were significant differences in proportions based on sex, age, marital status, education, and occupation. In multivariate analysis show that the risk factors that contribute to having a significant association with central obesity with concomitant IFG are sex (female), age (>40 years), blood pressure (hypertension), and HDL-C <50 mg/dL (p<0.001). The analysis also founded that there was a significant difference in the dietary pattern of sweet foods (p = 0.018), sweet drinks (p = 0.002), soft drinks (p = 0.001) and smoking habit (p<0.001) between subjects with obesity central and concomitant IFG compared to subjects with noncentral obesity. The majority of subjects with obesity central and concomitant IFG had consuming these risky foods >6 times/week. The prevalence of central obesity with IFG is quite high. There are significant differences in the characteristics, lipid profile, blood pressure, dietary pattern, and smoking habit of central obesity with concomitant IFG was confirmed in this population-based observational study.

The Relationship Between Anti-Müllerian Hormone and Body Composition Components in Patients With Polycystic Ovary Syndrome of Reproductive Age.

To investigate and analyze the relationship between body composition components, including Body Mass Index (BMI), body fat percentage, waist-to-hip ratio, and visceral fat index, and Anti-Müllerian Hormone (AMH) levels in patients diagnosed with Polycystic Ovary Syndrome (PCOS), The study aims to provide a comprehensive understanding of how various aspects of body composition impact AMH levels. This study enrolled 167 women with PCOS of reproductive age. Serum AMH level and body composition were measured, and the correlation between body composition elements and AMH levels was analyzed. AMH level was negatively correlated with body weight, BMI, fat-free mass, body fat percentage, waist-hip ratio, and visceral fat level (P < 0.01). And negatively correlated with skeletal muscle ratio ( P= 0.003). AMH level remained significantly associated with BMI (P = 0.028), body fat percentage (P = 0.040), waist-hip ratio (P= 0.003), and visceral fat level ( P= 0.040) after age was included and a multiple linear regression model was established. After adjusting for age, BMI was still significantly associated with AMH (P = 0.029). At the same time, there was no obvious linear correlation between BSA and AMH. The results showed that AMH levels were significantly different among the three groups (9.53 ± 5.12 vs 6.98 ± 3.35 vs 6.38 ± 3.38, P < 0.001; ng/mL). The level of AMH in the non-central obesity group was higher than that in the central obesity group (9.68 ± 5.22vs7.09 ± 3.83, P < 0.001; ng/mL). In PCOS patients, those who are more obese have lower AMH levels, indicating poorer Ovarian Reserve. BMI may independently affect AMH levels, apart from age, BSA, and other factors. Ovarian function in centrally obese patients is poorer than in those with non-central obesity.

Normal Weight Central Obesity is a Poor Prognostic Factor for Sudden Sensorineural Hearing Loss.

To investigate the role of normal weight central obesity (NWCO) in the prognosis of sudden sensorineural hearing loss (SSNHL). We retrospectively investigated 807 cases of SSNHL from January of 2008 to August of 2019 from the Department of Otorhinolaryngology at Kaohsiung Medical University Hospital in southern Taiwan. We analyzed the association between overweight and obesity, NWCO, and the prognosis of SSNHL. The demographic and clinical characteristics, audiometry results, and outcomes were also reviewed. The nonobese (body mass index [BMI] < 24 kg/m2) and overweight and obese groups (BMI ≥ 24 kg/m2) comprised 343 (42.50%) and 464 (57.50%) patients, respectively. The favorable prognosis rates in the nonobese and the overweight and obese groups were 45.48% and 45.91%, respectively, without a significant difference (P = .9048). Multivariate logistic regression revealed that BMI (adjusted odds ratio [aOR] = 1.00, 95% CI = 0.948-1.062, P = .9165) was not significantly associated with SSNHL recovery. The normal weight noncentral obesity (NWNCO) and NWCO groups comprised 266 (77.55%) and 77 (22.45%) patients, respectively, and had favorable prognosis rates of 48.50% and 35.06%, respectively. The difference between the groups was significant (P = .0371). Multivariate logistic regression analysis revealed that NWCO (aOR = 2.51, 95% CI = 1.292-5.019, P = .0075) was significantly associated with SSNHL recovery. NWCO may significantly affect the prognosis of SSNHL.

Relationship between obesity indicators and hypertension–diabetes comorbidity in an elderly population: a retrospective cohort study

BackgroundThe prevalence of obesity, hypertension and diabetes is increasing. Hypertension and diabetes are common complications. Additionally, obesity and hypertension–diabetes comorbidity (HDC) are both closely related to insulin resistance. The aim of this study was to determine the association of obesity indicators with HDC in elderly individuals.MethodsThis retrospective cohort study included 74,955 subjects aged ≥ 60 years living in Xinzheng, Henan Province, from January 2011 to December 2019. The data were collected from the annual health examination dataset. Cox proportional hazard regression models and competing-risk survival regression models were used to examine the relationships between the three indicators and HDC risk.ResultsAfter 346,504 person-years of follow-up, HDC developed in 9,647 subjects. After further adjustments for confounders and death competing risks, compared with a body mass index (BMI) of 18.5–23.9 kg/m2, the fully adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of BMI < 18.5, 24–27.9 and ≥ 28 kg/m2 for HDC morbidity were 0.651(0.538,0.788),1.00,1.396(1.336,1.459) and 1.769(1.666,1.878), respectively. Moreover, participants with abdominal obesity measured via waist circumference (WC) or waist-to-height ratio (WtHR) had a higher risk of HDC (HR:1.513; 95% CI: 1.45,1.578 and HR:1.412;95% CI: 1.353,1.473), respectively, than participants with low WC or with low WtHR. In the joint analyses, the highest risk was observed in participants who were overweight and who had central obesity (HR: 1.721; 95% CI: 1.635, 1.811) compared with the nonoverweight and noncentral obesity groups.ConclusionsIncreased BMI, WC and WtHR were associated with an increased risk of HDC. There was an additive interaction between general body adiposity (as measured via BMI) and central obesity (as measured via WC and WtHR) for HDC. Therefore, reasonable control of BMI, WC and WtHR may be an effective measure to prevent HDC among elderly individuals.

Relationship between blood uric acid levels and body composition in patients with polycystic ovary syndrome

Objective: To analyze the difference in blood uric acid levels between patients with polycystic ovary syndrome (PCOS) and healthy women of childbearing age, and to investigate the correlation between body composition and blood uric acid levels. Methods: A total of 153 eligible childbearing age patients with PCOS treated at Tianjin Medical University General Hospital from January 2018 to March 2022 were selected, and 153 healthy women with normal menstruation were selected as the control group. Fasting blood uric acid levels were measured by venous blood test, and body composition was measured by a body composition analyzer. Group comparisons were made to analyze the correlation between body composition and blood uric acid levels. Results: The incidence of hyperuricemia was higher in patients with PCOS than that in the control group [30.1% (46/153) vs 2.0% (3/153)], with a statistically significant difference (χ2=44.429, P<0.001). Blood uric acid level was also significantly higher in patients with PCOS than that in the control group [(371±98) vs (265±67) μmol/L; t=11.170, P<0.001]. Among PCOS patients, there were statistically significant differences in weight, body mass index (BMI), body fat mass, skeletal muscle mass, percent body fat, lean body weight, fat mass/lean body weight, percent skeletal muscle, and visceral fat level between the hyperuricemia group and the normal blood uric acid group (all P<0.001), but no significant difference was observed in waist-hip ratio (P=0.348). The following body composition indicators: weight, BMI, waist-hip ratio, body fat mass, skeletal muscle mass, percent body fat, visceral fat level, lean body weight, and fat mass/lean body weight in all subjects, the PCOS patients and the control group, were positively correlated with blood uric acid levels (all P<0.01). The blood uric acid level in PCOS obese patients was higher than that in non-obese PCOS patients, and the difference was statistically significant [(425±83) vs (336±91) μmol/L; t=6.133, P<0.001]. The blood uric acid level in central obesity PCOS patients was also higher than that in non-central obesity PCOS patients [(385±95) vs (299±79) μmol/L], the difference was statistically significant (t=4.261, P<0.001). The blood uric acid level in normal-weight obese PCOS patients was higher than that in normal-weight non-obese PCOS patients [(333±73) vs (277±54) μmol/L], and the difference was statistically significant (t=2.848, P=0.006). Blood uric acid levels in normal-weight [(315±74) vs (255±67) μmol/L], overweight [(362±102) vs (276±57) μmol/L], and obese PCOS patients [(425±83) vs (303±74) μmol/L] were all higher than those in the corresponding control groups, with statistically significant differences (all P<0.001). Conclusions: PCOS patients have a higher incidence of hyperuricemia than healthy women of childbearing age. Blood uric acid levels are closely correlated with body composition indicators, such as weight, BMI, waist-hip ratio, body fat mass, skeletal muscle mass, percent body fat, and visceral fat level. Body composition analysis of women with PCOS could help identify potentially obese people more accurately and carry out individualized treatment, thereby reducing the risk of metabolic abnormalities.

Relationship between body composition, insulin resistance, and hormonal profiles in women with polycystic ovary syndrome.

To investigate how body fat influences glucose metabolism and hormone profiles in women with polycystic ovary syndrome (PCOS), compared to women without PCOS. We conducted a cross-sectional study of 166 women with PCOS and 139 age-matched control women at Peking University Third Hospital (Beijing, China) from March 2016 to December 2021. All participants underwent bioimpedance rate assessment of clinical, anthropometric, hormonal, and metabolic features. In particular, body composition parameters were assessed, based on the methods used in a previous study. Homeostasis model assessment-insulin resistance (HOMA-IR) and other indices calculated from fasting glucose and insulin were used to measure insulin resistance. The hormonal profiles [follicle-stimulating hormone (FSH), luteinizing hormone (LH), estrogen (E2), prolactin (PRL), total testosterone (T), and androstenedione (A2)] were assessed by using biochemical methods. Two subgroup analyses were conducted according to waist-to-hip ratio (WHR; < 0.85, non-central obesity and ≥ 0.85, central obesity) and body fat percentage (BFP; < 35% for lean and ≥35% for obesity). The indices above were analyzed using a two-sided t-test or Wilcoxon rank sum test. Linear regression was used to investigate the effects of body composition on metabolism and sex hormones in the PCOS and control groups. Compared to women without PCOS, women with PCOS and central obesity (P=0.021), PCOS and noncentral obesity (P<0.001), PCOS and high BFP (P<0.001), and PCOS and low BFP (P<0.001) had more severe glucose metabolism evaluated with HOMA-IR. Women with PCOS experienced greater insulin sensitivity impairment than did the normal population for every equal increase in BFP. LH, LH/FSH, total testosterone, and androstenedione were significantly higher in patients with PCOS than in healthy controls, regardless of WHR and BFP stratification. However, negative correlations existed between body fat indices (i.e., BFP and body mass index) and hormone indices (i.e., LH and androstenedione) in the PCOS group, but were absent in the control group. Obese and non-obese women with PCOS have more severe insulin resistance and sex-hormone disorders than women without PCOS. The effect of body fat on sex-hormone disorders is only exist in women with PCOS. These findings suggested that PCOS clinical guidelines should be more specific to body fat. https://clinicaltrials.gov/, Registration No. NCT04264832.

Healthy lifestyle, plasma metabolites, and risk of cardiovascular disease among individuals with diabetes

Background and aimsLifestyle management is a fundamental aspect of diabetes care to prevent cardiovascular disease (CVD); however, the underlying metabolic mechanism is not well established. We aimed to identify metabolites associated with different lifestyle factors, and estimate their mediating roles between lifestyle and CVD risk among people with diabetes. MethodsLifestyle and metabolomic data were available for 5072 participants with diabetes who were free of CVD at baseline in the UK Biobank. The healthy level of 5 lifestyle factors was defined as non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet. A total of 44 biomarkers across 7 metabolic pathways including lipoprotein particles, fatty acids, amino acids, fluid balance, inflammation, ketone bodies, and glycolysis were quantified by nuclear magnetic resonance (NMR) spectroscopy. ResultsAll 44 assayed metabolites were significantly associated with at least one lifestyle factor. Approximately half of metabolites, which were mostly lipoprotein particles and fatty acids, showed a mediating effect between at least one lifestyle factor and CVD risk. NMR metabolites jointly mediated 43.4%, 30.0%, 16.8%, 43.4%, and 65.5% of the association of non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet with lower CVD risk, respectively. In general, though metabolites that significantly associated with lifestyle were mostly different across the 5 lifestyle factors, the pattern of association was consistent between fatty acids and all 5 lifestyle factors. Further, fatty acids showed significant mediating effects in the association between all 5 lifestyle factors and CVD risk with mediation proportion ranging from 12.2% to 26.8%. ConclusionsThere were large-scale differences in circulating NMR metabolites between individuals with diabetes who adhered to a healthy lifestyle and those did not. Differences in metabolites, especial fatty acids, could partially explain the association between adherence to multiple healthy lifestyle and lower CVD risk among people with diabetes.

Status and transition of normal-weight central obesity and the risk of cardiovascular diseases: A population-based cohort study in China

Background and aimsCardiovascular disease (CVD) has become a growing public health concern. Normal weight central obesity (NWCO) has emerged as a potential risk factor for cardiometabolic dysregulation. To date, the association between NWCO and new-onset CVDs remains unclear. We aimed to evaluate the associations of NWCO and its longitudinal transitions with cardiovascular risks in middle-aged and older Chinese. Methods and resultsData were from the China Health and Retirement Longitudinal Study 2011–2018. NWCO was defined as the combination of a body mass index (BMI) of <24.0 kg/m2 and a waist circumference (WC) of >85 cm in males or >80 cm in females. CVDs included heart diseases and stroke. Cause-specific hazard models and subdistribution hazard models with all-cause death as the competing event were applied. In 2011, 9856 participants without prior CVDs were included, of whom 1814 developed CVDs during a 7-year follow-up. Compared to normal weight and non-central obesity (NWNCO), NWCO was significantly associated with new-onset CVDs, with cause-specific hazard ratios (cHRs) and 95% confidence intervals (CIs) of 1.21 (1.04–1.41) for heart diseases and 1.40 (1.11–1.76) for stroke. From 2011 to 2013, 571 NWNCO participants developed NWCO who subsequently demonstrated a 45% higher risk of CVDs than those with maintained NWNCO. ConclusionNWCO and transition from NWNCO to NWCO are associated with higher risks of CVDs. Identification and prevention of NWCO may be useful in the management of CVDs.

Association between central obesity and incident diabetes mellitus among Japanese: a retrospective cohort study using propensity score matching

Previous evidence revealed that central obesity played a vital role in the development of diabetes mellitus (DM). However, because of imbalanced confounding variables, some studies have not wholly established the association between central obesity and diabetes. Propensity score matching (PSM) analysis can minimize the impact of potential confounding variables. Therefore, the aim of the present study was to explore the relationship between central obesity and diabetes in the Japanese population by using PSM analysis. This retrospective cohort study included 15,453 Japanese adults who were free of diabetes at baseline between 2004 and 2015, which provided all medical records for individuals participating in the physical exam. Central obesity at baseline was an independent variable, and incident diabetes during follow-up was an outcome variable. Using a 1:1 PSM analysis, the present retrospective cohort study included 1639 adults with and without central obesity. Additionally, we employed a doubly robust estimation method to identify the association between central obesity and diabetes. Subjects with central obesity were 92% more likely to develop DM (HR = 1.65, 95%CI 1.12, 2.41). After adjusting for covariates, subjects with central obesity had a 72% increased risk of developing DM compared with subjects with non-central obesity in the PSM cohort (HR = 1.72, 95% CI 1.16, 2.56). Central obesity individuals had a 91% higher risk of DM than non-central obesity individuals, after adjustment for propensity score (HR = 1.91, 95% CI 1.29, 2.81). In sensitivity analysis, the central obesity group had a 44% (HR = 1.44, 95% CI 1.09, 1.90) and 59% (HR = 1.59, 95% CI1.35, 1.88) higher risk of DM than the non-central obesity group in the original and weighted cohorts after adjusting for confounding variables, respectively. Central obesity was independently associated with an increased risk of developing diabetes. After adjustment for confounding covariates, central obesity participants had a 72% higher risk of development of diabetes than non-central obesity individuals in the PSM cohort.

Analisis Asupan Karbohidrat dan Lemak pada Dewasa Muda dengan Obesitas Sentral di Fakultas Kedokteran Universitas Riau

Central obesity is a state of the body characterized by the accumulation of excess fat in the abdominal area and is a component of the metabolic syndrome and plays an important role in the pathogenesis of cardiovascular disease and cancer. The main causes of central obesity are the wrong diet such as a diet high in fat and carbohydrates and low in fiber. The purpose of this study was to analyze carbohydrate and fat intake in young adults with central obesity. This research was an analytical study with a cross-sectional approach. The Sampling techniques used the purposive sampling method with a sample of 66 people consisting of 33 central obese people and 33 central non-obese people. The results of this study showed that the average consumption of carbohydrates in a day on central obesity is higher (341,74 g/day) than the consumption of carbohydrates in non-central obesity (263,26 g/day) and the average consumption of fat in a day on central obesity is higher (167.2 g/day) than the consumption of fats of non-central obesity (100,3 g/day). There was a significant difference in carbohydrate intake and fat intake between the group of young adults with central obesity and non-central obesity (p=0.000).

Relationship between obesity and death by multi-morbidity status in older adults in China

Objective: To explore the relationship between obesity status and death stratified by different multi-morbidity status in older adults in China. Methods: Data for older Chinese adults aged ≥65 years were from Chinese Longitudinal Healthy Longevity Survey (CLHLS). Multi-morbidity patterns based on 13 chronic conditions were explored using exploratory factor analysis. Cox models were used to examine relationships between obesity status and death stratified by disease count and multi-morbidity patterns at baseline, respectively. Besides, obesity status was defined by baseline body mass index and waist circumference. Results: A total of 6 272 participants were included in the analyses. Multi-morbidity including cardio-metabolic, sensory perception and other patterns were identified. For those without any chronic condition, compared with those without central obesity, central obesity was associated with a higher risk for death (HR=1.66, 95%CI:1.04-2.66). For those only with one chronic condition, compared with normal weight, underweight was associated with a higher risk for death (HR=1.41, 95%CI: 1.10-1.80). For those with multi-morbidity, compared with normal weight, underweight increased the risk for death (HR=1.19, 95%CI:1.05-1.34). Compared with those without central obesity, central obesity decreased the risk for death (HR=0.88, 95%CI:0.78-0.99). Conclusions: Relationships between obesity status and death varied by multi-morbidity status in older adults in China. Underweight and non-central obesity were associated with increased risks for death in older adults with only one chronic disease or multi-morbidity. Therefore, it is necessary to pay attention to multi-morbidity status in the management of obesity in older adults and provide effective targeted body weight management plan.

Prevalence and Risk Factors of Central Obesity among Adults with Normal BMI in Shaanxi, China: A Cross-Sectional Study.

(1) Background: The study aims to estimate the prevalence of normal weight with central obesity (NWCO) and to examine the relationship between NWCO and cardiovascular disease risk factors in adults of the province of Shaanxi. (2) Methods: A population-based cross-sectional survey was conducted among residents who were aged 18–80 years and had been living in Zhenba County, Shaanxi Province, for over six months in 2018. Descriptive data analysis and prevalence/frequency were conducted. Logistic regression analyses were used to detect the corresponding factors associated with central obesity. (3) Results: A total of 2312 participants (936 men and 1376 women) were analyzed. The prevalence of NWCO was 58.3%. NWCO was significantly associated with hypertension and dyslipidemia. Compared with normal weight non-central obesity (NWNO), the adjusted odds ratios (ORs) for hypertension were 1.47 (95% CI 1.10–1.98) in men and 1.55 (1.14–2.10) in women, and the corresponding odds ratios for dyslipidemia were 2.71 (1.77–4.13) in men and 1.84 (1.29–2.61) in women. Female sex, age over 58 years, and lower education level were also significantly predictors of abdominal obesity. (4) Conclusions: Body mass index alone as a measure of obesity is not sufficient for assessing health risks. Central obesity index should be used together for clinical assessment.

Analysis of Ferritin Levels, TIBC and Fe Serum In Central Obesity And Non Central Obesity

Ferritin is an inflammatory marker in obesity, TIBC, Fe, and transferrin saturation by examining iron status. Anthropometric parameters of waist circumference are related to visceral fat. This study analyzed the levels of ferritin, TIBC, Fe, and transfer saturation in central and non-central obesity. The observational study (cross-sectional) used 75 subjects for 4 months. Ferritin using ECLIA, TIBC and Fe using immunoturbidimetric and colorimetric methods, transferrin saturation using the comparison method of Fe and TIBC values ​​in percent units. This study showed significant results on TIBC levels, while levels of ferritin, Fe, and transferrin saturation were not significant. The Spearman correlation test showed significant results between ferritin and waist circumference levels while TIBC, Fe, and transferrin saturation were not significant. In conclusion, there are significant differences in TIBC while ferritin, Fe, and transferrin saturation do not have significant differences between central and non-central obesity

Obesity Contribution in Synthesis and Degradation of Cartilage Marker Through Inflammation Pathway in Osteoarthritis Patient: Analysis of Adiponectin, Leptin, Ykl-40 and Cartilage Oligomeric Matrix Proteinase (Comp) Synovial Fluid

Background: To determine the role of obesity in osteoarthritis (OA) through inflammation pathway byanalyzing articular cartilage synthesis and degradation markers in synovial fluid.Methods: We performed observational study with cross sectional approach. Obesity was determinedbased on WC. OA genu diagnosed based on American College of Rheumatology (ACR) 1986 criteria. Weexamined leptin as inflammation marker, adiponectin as anti-inflammation marker, YKL-40 as cartilagesynthesis marker and COMP as cartilage degradation marker in synovial joint using ELISA.Results: From 70 OA genu patients, 61 subjects with central obesity and 9 subjects with non-central obesity.In OA patient with central obesity group, WC does not correlate directly with COMP and YKL-40, butthrough level of adiponectin and leptin. WC correlates with adiponectin and leptin level, and then adiponectinlevel correlate with YKL-40 level, and leptin level correlate with COMP level, the greater the WC, the loweradiponectin level and the higher leptin level. The lower the adiponectin level, the lower the YKL-40 leveland the higher the leptin level, the higher the COMP level. Whereas in OA patient with non-central obesitygroup, WC is directly correlated with COMP level (not through adiponectin or leptin); the greater WC, thehigher COMP level. WC does not correlate directly with YKL-40, but through adiponectin due to increasingage, not because of changes in WC. In non-central obesity, the older a person is, the lower adiponectin level;and the lower adiponectin level, the lower YKL-40 level.Conclusions: Obesity contributed in central obese OA, group on destruction of articular cartilage wasdirectly correlated with WC without involving inflammation pathway.

Association of urinary chlorophenols with central obesity in Korean girls.

This study aimed to assess the association between urinary concentrations of chlorophenols and childhood central obesity. The study subjects were 165 girls (91 with central obesity and 74 with non-central obesity) aged 7-8 years who visited a hospital for regular health check-ups. The urinary concentrations of chlorophenols including 2,4-dichlorophenol (2,4-DCP), 2,5-dichlorophenol (2,5-DCP), 2,4,5-trichlorophenol (2,4,5-TCP), and 2,4,6-trichlorophenol (2,4,6-TCP) were analyzed using liquid chromatography-tandem mass spectrometry. The central obesity group showed significantly higher urinary concentrations of 2,5-DCP (0.56 vs. 0.28 ng/mL) and 2,4,5-TCP (0.06 vs. 0.03 ng/mL) than the non-central obesity group. The sum of molar concentrations of urinary chlorophenols was also significantly higher in the central obesity group than in the non-central obesity group (9.83 vs. 5.26 nmol/L). Girls in the highest quartile of the molar sum of chlorophenols showed significantly higher body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) compared with the lowest quartile after adjusting for covariates. WC and WHtR, but not BMI, were significantly associated with higher quartiles of the molar sum of chlorophenols (P-for-trend = 0.025 and 0.028, respectively). We found a positive association between chlorophenol exposure and central obesity in Korean girls. Large-scale prospective studies are needed to confirm our findings.

Vitamin D deficiency and metabolic syndrome in elderly Chinese individuals: evidence from CLHLS

ObjectivesBoth low vitamin D status and metabolic syndrome (MetS) are worldwide concerns, and low 25-hydroxyvitamin D [25(OH)D] levels are associated with MetS; however, related epidemiological evidence based on elderly Chinese individuals, especially those over 80 years of age, is limited. In the present study, we aimed to evaluate the association between serum 25(OH)D and MetS in elderly Chinese individuals.MethodSerum 25(OH)D was measured in a cross-sectional sample of 2493 elderly people aged 65–112 years from eight areas of China in which the density of centenarians is exceptionally high. MetS was diagnosed according to blood pressure, lipid, and blood sugar levels; waist circumference; and body mass index (BMI). Adjusted multivariable logistic regression was used to analyze the associations between vitamin D and MetS based on different diagnostic criterias.ResultsA total of 890 (35.7%) of the recruited elderly individuals had insufficient levels of vitamin D, and 1029 participants (41.3%) were vitamin D deficient. High serum vitamin D concentrations were associated with a low prevalence of MetS according to the modified Adult Treatment Panel III (ATP III) criteria for adequate versus deficient vitamin D levels (OR: 0.63, 95% CI: 0.45, 0.88) and inadequate versus deficient vitamin D levels (OR: 0.70, 95% CI: 0.52, 0.92). Each 10 ng/ml increase in serum vitamin D was significantly associated with a decreased prevalence of MetS according to the modified ATP III criteria for people with normal waist circumference (WC) (OR: 0.55, 95% CI: 0.43,0.71). However, no significant statistical correlation was found among elderly people with a high WC. Additionally, in the analysis of the individual components, the ORs of adequate versus deficient vitamin D levels were 0.46 (95% CI: 0.30, 0.71) for elevated triglycerides and 0.64 (95% CI: 0.42, 0.97) for reduced high-density lipoprotein cholesterol (HDL-C) after adjustment for other components.ConclusionsVitamin D deficiency is very common among elderly Chinese individuals. Vitamin D deficiency may be a risk factor for MetS; however, the association was only statistically significant among elderly people with noncentral obesity. Further studies are needed to examine the causal direction of the association.