Associations between anthropometric parameters and lipid profiles in Chinese individuals with age ≥40 years and BMI <28kg/m2

Prevalence of diabetes and its correlates among Iranian adults: Results of the first phase of Shahedieh cohort study

Background and Aims

The diabetes is one of the most common noncommunicable diseases, the prevalence of which is increasing worldwide. This study aimed to determine the prevalence, and correlates the factors of diabetes in the setting of Shahedieh cohort study in Yazd, Iran.

Method

The present study is a cross‐sectional study conducted on the data of the initial stage of Shahdieh Yazd cohort. This study examined the data of 9747 participants aged from 30 to 73 years. The data included demographic, clinical, and blood test variables. Multivariable logistic regression was used to calculate the adjusted odds ratio (OR), and the risk factors of diabetes were studied. Meanwhile, population attributable risks for diabetes were estimated, and reported.

Results

The prevalence of diabetes was 17.9% (CI95%: 17.1–18.9); 20.5% in women, and 15.4% in men. Based on the results of multivariable logistic regression showed female sex (OR = 1.4, CI95%: 1.24–1.58), waist‐hip ratio (OR = 1.4, CI95%: 1.24–1.58), high blood pressure (OR = 2.1, CI95%: 1.84–2.4), cardiovascular diseases (CVD) (OR = 1.52, CI95%: 1.28–1.82), stroke (OR = 1.91, CI95%: 1.24–2.94), age (OR = 1.81, CI95%: 1.67–1.96), hypercholesterolemia (OR = 1.79, CI95% triglyceride: 1.59–2.02), and low‐density lipoprotein (LDL) (OR = 1.45, CI95%: 1.4–1.51), as risk factors for diabetes. Among the modifiable risk factors, high blood pressure(52.38%), waist‐to‐hip ratio (48.19%), the history of stroke (47.64%), hypercholesterolemia (44.13%), history of CVD (34.21%), and LDL ≥ 130 (31.03%) had the greatest population‐attributable, respectively.

Conclusion

The results showed that some of the main determinants of diabetes are the modifiable risk factors. Therefore, implementing early detection, and screening programs for people at risk and preventive measures, such as lifestyle modification programs, and control of risk factors can prevent this disease.

Comparison of the effect of oral megestrol acetate with or without levonorgestrel-intrauterine system on fertility-preserving treatment in patients with early-stage endometrial cancer: a prospective, open-label, randomized controlled phase II trial (ClinicalTrials.gov NCT03241914)

OBJECTIVE

To evaluate the effect of levonorgestrel-releasing intrauterine system (LNG-IUS) plus oral megestrol acetate (MA) as fertility-preserving treatment in patients with early-stage endometrial cancer (EEC).

METHODS

In this single-center, phase II study with open-label, randomized and controlled design, young patients (18-45 years) diagnosed with primary EEC were screened, who strongly required fertility-preserving treatment. Patients were randomly assigned (1:1) into MA group (160 mg oral daily) or MA (160 mg oral daily) plus LNG-IUS group. Pathologic evaluation on endometrium retrieved by hysteroscopy was performed every 3 months. The primary endpoint was complete response (CR) rate within 16 weeks of treatment. The secondary endpoints were CR rate within 32 weeks of treatment, adverse events, recurrent and pregnancy rate.

RESULTS

Between July 2017 and June 2020, 63 patients were enrolled and randomly assigned. Totally 56 patients (26 in MA group; 28 in MA + LNG-IUS group) were included into primary-endpoint analyses. The median follow-up was 31.6 months (range, 3.1-94.0). No significant difference in 16-week CR rate were found between MA and MA + LNG-IUS groups (19.2% vs. 25.0%, p=0.610; odds ratio=1.40; 95% confidence interval=0.38-5.12), while the 32-week CR rates were also similar (57.1% and 61.5%, p=0.743), accordingly. More women in MA + LNG-IUS group experienced vaginal hemorrhage (46.4% vs. 16.1%; p=0.012) compared with MA group. No intergroup difference was found regarding recurrence or pregnancy rate.

CONCLUSION

Compared with MA alone, the addition of LNG-IUS may not improve the early CR rate for EEC, and may produce more adverse events instead.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03241914.

The Effects of Obesity and Physical Activity on Dyslipidemia in Persons With Type 2 Diabetes

OBJECTIVES This study was conducted to examine the effect of obesity, and physical activity on the prevalence of dyslipidemia in persons with type 2 diabetes mellitus (T2DM).METHODS A cross-sectional , correlational design was used. Participants aged 20 years or older were recruited from a diabetes clinic affiliated with a university hospital. Body composition, blood glucose, glycated hemoglobin, and blood lipid level were measured in addition to self-reported physical activity. Final data analysis was conducted with 177 participants. The differences on physical activity measures and body composition between those with or without dyslipidemia were analyzed using independent t-tests. The associations between dyslipidemia and physical activity and obesity were assessed with the odds Ratio (OR) and 95% confidence intervals (CI) after adjusting potential confounding factors.RESULTS The participation rate of regular physical activity in T2DM patients was 55.9%. BMI and regular physical activity participation influenced the prevalence of dyslipidemia in persons with T2DM. The regular physical activity participation rate of T2DM patients without dyslipidemia was higher than that of T2DM patients with dyslipidemia (p<.05). Moreover, participation in regular physical activity decreased the risk of dyslipidemia prevalence (p<.05). With regard to body composition, T2DM patients with dyslipidemia had a higher body mass index (p<.01). As the body mass index 1 increased, odd ratio of the dyslipidemia prevalence increased 1.21 times (p<.05).CONCLUSIONS The risk of dyslipidemia in T2DM patients was influenced by BMI and participation in regular physical activity. Therefore, reducing obesity through regular physical activity will be a way to lower the prevalence of dyslipidemia in T2DM.

Accuracy of obesity indices alone or in combination for prediction of diabetes: A novel risk score by linear combination of general and abdominal measures of obesity

Background

The predictive power of obesity measures varies according to the presence of coexistent measures. The present study aimed to determine the predictive power of combinations of obesity measures for diabetes by calculation of a linear risk score.

Methods

Data from a population-based cross-sectional study of 994 representative samples of Iranian adults in Babol, Iran were analyzed. Measures of obesity including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), and waist to hip ratio (WHR) were calculated, and diabetes was diagnosed by fasting blood sugar >126 mg/dl or taking antidiabetic medication. Multiple logistic regression model was used to develop a logit risk score based on BMI, WC, WHtR, and WHR. The ROC analysis was applied to determine the priority of every single index and combined logit score for the prediction of diabetes.

Results

All four measures of general and abdominal obesity were predictors of diabetes individually in both sexes (P=0.0001). Calculation of risk score for a combination of all measures use full model improved predictive power. Adjustment for age resulted in further improvement in diagnostic power and combined novel risk score differentiated individuals with and without diabetes with an accuracy of 0.747 (95%CI: 0.690-0.808) in men and 0.789 (95%CI: 0.740, 0.837) in women.

Conclusion

These findings indicate that the simultaneous calculation of age-adjusted risk score for all measures provides stronger diagnostic accuracy in both sexes. This issue suggests the calculation of combined risk scores for all obesity indices especially in a population at borderline risk.

Triglyceride: A mediator of the association between waist-to-height ratio and non-alcoholic fatty liver disease: A second analysis of a population-based study

OBJECTIVE

Increasing evidence suggests that an increased waist-to-height ratio (WHtR) may increase the risk of non-alcoholic fatty liver disease (NAFLD). Whether this association is due to WHtR itself or mediated by WHtR-associated increases in triglyceride (TG) is uncertain. On that account, our research aims to disentangle these relationships.

METHODS

In this cross-sectional study, 14251 participants who participated in the medical examination program were consecutively and non-selectively collected in Murakami Memorial Hospital in Japan from 2004 to 2015. The independent and dependent variables were WHtR and NAFLD, respectively. Triglyceride was the mediating factor. The correlation between WHtR, TG, and NAFLD risk factors was examined using spearman correlation analysis. The association between WHtR or TG and NAFLD was examined using multiple logistic regression. In order to determine whether TG mediated the association between WHtR and NAFLD, a mediation analysis was performed.

RESULTS

The mean age of the included individuals was 43.53 ± 8.89 years old, and 7411 (52.00%) were male. The mean WHtR and TG were 0.46 ± 0.05, 0.89 ± 0.63, respectively. The prevalence rate of NAFLD was 2507 (17.59%). Individuals with NAFLD had significantly higher levels of WHtR and TG than those without NAFLD (P&lt;0.05). After adjusting covariates, the multivariate linear regression analysis showed that WHtR was positively associated with TG. That was, for every 0.1 increase in WHtR, TG increased by 0.226mmol/L (β=0.226, 95%CI: 0.206, 0.247). Multiple logistic regression analysis indicated that WHtR (OR=8.743, 95%CI: 7.528, 10.153) and TG (OR=1.897, 95%CI: 1.732, 2.078) were positively associated with NAFLD. The mediation analysis showed that WHtR had a direct, significant effect on NAFLD (β=0.139, 95%CI: 0.126, 0.148), and TG partially mediated the indirect effect of WHtR on NAFLD (β=0.016, 95% CI: 0.013-0.019). TG contributed to 10.41% of WHtR-related NAFLD development.

CONCLUSION

Findings suggest a mediation link between WHtR and TG and the risk of NAFLD. The significance of TG as a mediator deserves recognition and consideration.

Gut microbial biomarkers for the treatment response in first-episode, drug-naïve schizophrenia: a 24-week follow-up study

Preclinical studies have shown that the gut microbiota can play a role in schizophrenia (SCH) pathogenesis via the gut-brain axis. However, its role in the antipsychotic treatment response is unclear. Here, we present a 24-week follow-up study to identify gut microbial biomarkers for SCH diagnosis and treatment response, using a sample of 107 first-episode, drug-naïve SCH patients, and 107 healthy controls (HCs). We collected biological samples at baseline (all participants) and follow-up time points after risperidone treatment (SCH patients). Treatment response was assessed using the Positive and Negative Symptoms Scale total (PANSS-T) score. False discovery rate was used to correct for multiple testing. We found that SCH patients showed lower α-diversity (the Shannon and Simpson's indices) compared to HCs at baseline (p = 1.21 × 10-9, 1.23 × 10-8, respectively). We also found a significant difference in β-diversity between SCH patients and HCs (p = 0.001). At baseline, using microbes that showed different abundance between patients and controls as predictors, a prediction model can distinguish patients from HCs with an area under the curve (AUC) of 0.867. In SCH patients, after 24 weeks of risperidone treatment, we observed an increase of α-diversity toward the basal level of HCs. At the genus level, we observed decreased abundance of Lachnoclostridium (p = 0.019) and increased abundance Romboutsia (p = 0.067). Moreover, the treatment response in SCH patients was significantly associated with the basal levels of Lachnoclostridium and Romboutsia (p = 0.005 and 0.006, respectively). Our results suggest that SCH patients may present characteristic microbiota, and certain microbiota biomarkers may predict treatment response in this patient population.

Predictors of Lipid Profile Abnormalities Among Patients with Metabolic Syndrome in Southwest Ethiopia: A Cross-Sectional Study

BACKGROUND

Lipid profile abnormalities are an integral part of metabolic syndrome (MetS) and major underlying causes of cardiovascular disease (CVD) and type-2 diabetes mellitus (T2DM). Lipid profile abnormalities in a patient with MetS are resulted due to the presence of central obesity and insulin resistance. In Ethiopia, the burden and predictors of lipid profile abnormalities in a patient with MetS are not well known. Thus, this study aimed to determine the prevalence of lipid profile abnormalities and predictors among patients with MetS in southwest Ethiopia.

METHODS AND MATERIALS

A cross-sectional study was conducted among 381 patients with MetS from September to December 2019 with a response rate of 100%. A structured questionnaire was used to collect data on socio-demographic and behavioral factors. Waist circumference, height, weight, and blood pressures were measured. The venous blood sample was collected for glucose and lipid profile determination. Data were entered and analyzed by using SPSS version 21. Binary logistic regression and Pearson's correlation analyses were performed. A p-value was set at a <0.05 for statistical significance.

RESULTS

In this study, about 58% of participants were at least one or more lipid profile abnormalities with the 95% CI (52.8-62.7). About 67.2%, 44.6%,18.4%, and 14.2% of study participants were low HDL, high TG, LDL, and TC, respectively. Central obesity (adjusted odds ratio (AOR): 1.89, 95% CI: 1.14-3.14), increasing age (AOR: 2.08, 95% CI: 1.27-3.4), higher BMI (AOR: 2.06, 95% CI: 1.23-3.4), being hypertensive (AOR: 3.48, 95% CI: 2.12-5.7) and increasing blood glucose level (AOR: 2.34, 95% CI: 1.36-4.03) were independent predictors of lipid profile abnormalities (dyslipidemia).

CONCLUSION

In this study area, a high (58%) prevalence of dyslipidemia was observed in study participants, and increasing age, higher BMI, central obesity, hypertension, and high blood glucose level were identified as independent predictors of dyslipidemia among patients with MetS. Prevention and control of dyslipidemia and its predictors among patients with MetS were recommended.

Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat

BACKGROUND

Both intra-abdominal fat (IAF) and high-density lipoprotein cholesterol (HDL-C) are known to be associated with cardiometabolic health. We evaluated whether the accumulation of computed tomography (CT)-measured IAF over 5 years was related to baseline HDL-C concentration in a prospective cohort study.

METHODS

All participants were Japanese-Americans between the ages of 34 and 74 years. Plasma HDL-C concentration and CT measurements of IAF, abdominal subcutaneous fat (SCF), and thigh SCF cross-sectional areas were assessed at baseline and at 5-year follow-up visits.

RESULTS

A total of 397 subjects without diabetes were included. The mean±standard deviation HDL-C concentration was 51.6±13.0 mg/dL in men and 66.0±17.0 mg/dL in women, and the IAF was 91.9±48.4 cm2 in men and 63.1±39.5 cm2 in women. The baseline plasma concentration of HDL-C was inversely associated with the change in IAF over 5 years using multivariable regression analysis with adjustment for age, sex, family history of diabetes, weight change over 5 years, and baseline measurements of body mass index, IAF, abdominal SCF, abdominal circumference, thigh SCF, and homeostatic model assessment for insulin resistance.

CONCLUSION

These results demonstrate that HDL-C concentration significantly predicts future accumulation of IAF over 5 years independent of age, sex, insulin sensitivity, and body composition in Japanese-American men and women without diabetes.

Effect of Bariatric Surgery on High-Density Lipoprotein (HDL) Cholesterol in Non-diabetic Patients with Severe Obesity

BACKGROUND

This study evaluated changes in serum high-density lipoprotein cholesterol (HDL-C) induced by laparoscopic bariatric surgery (BS) in non-diabetic obese subjects with low (L-HDL-C) or normal (N-HDL-C) levels of HDL-C. We assessed whether increased HDL-C is associated with weight loss, serum non-HDL cholesterol (non-HDL-C), serum triglycerides (TG), and physical activity (PA) before and 6 and 15 months after BS.

METHODS

In this prospective cohort study, 71 subjects undergoing BS (42 by Roux-en-Y gastric bypass and 29 by sleeve gastrectomy) were evaluated for the % Excess Weight Loss (%EWL), waist circumference (WC), serum levels of glucose, glycosylated hemoglobin, TG, HDL-C, non-HDL-C, and LDL-C, and the degree, time, and energy expenditure related to PA. The short version of the International Physical Activity Questionnaire was used to assess PA.

RESULTS

Levels of HDL-C significantly increased 15 months after BS (p < 0.001) in subjects with low (p < 0.001) or normal (p = 0.017) values at baseline. A similar %EWL, decrease in WC, glucose, non-HDL-C, and LDL-C levels and increase in energy expenditure related to PA, was observed in both groups (L-HDL-C and N-HDL-C) at 15 months after BS. However, the L-HDL-C group presented greater decrease in TG levels compared with N-HDL-C group (p = 0.004). In subjects with increased HDL-C 15 months after BS, there was an association between this increase and the %EWL (p = 0.030), but there was no association with the change in PA.

CONCLUSIONS

Irrespective of PA after BS, subjects with low and normal HDL-C levels at baseline showed an increase in HDL-C after BS, and this increase was associated with %EWL induced by BS.

Metformin plus megestrol acetate compared with megestrol acetate alone as fertility-sparing treatment in patients with atypical endometrial hyperplasia and well-differentiated endometrial cancer: a randomised controlled trial

OBJECTIVE

To assess the efficacy of metformin in megestrol acetate (MA)-based fertility-sparing treatment for patients with atypical endometrial hyperplasia (AEH) and endometrioid endometrial cancer (EEC).

DESIGN

A randomised, single-centre, open-label, controlled trial conducted between October 2013 and December 2017.

SETTING

Shanghai OBGYN Hospital of Fudan University, China.

POPULATION

A total of 150 patients (18-45 years old) with primary AEH or well-differentiated EEC were randomised into an MA group (n = 74) and an MA plus metformin group (n = 76).

METHODS

Patients with AEH or EEC were firstly stratified, then randomised to receive MA (160 mg orally, daily) or MA (160 mg orally, daily) plus metformin (500 mg orally, three times a day).

MAIN OUTCOMES AND MEASURES

The primary efficacy parameter was the cumulate complete response (CR) rate within 16 weeks of treatment (16w-CR rate); the secondary efficacy parameters were 30w-CR rate and adverse events.

RESULTS

The 16w-CR rate was higher in the metformin plus MA group than in the MA-only group (34.3 versus 20.7%, odds ratio [OR] 2.0, 95% confidence interval [CI] 0.89-4.51, P = 0.09) but the difference was more significant in 102 AEH patients (39.6 versus 20.4%, OR 2.56, 95% CI 1.06-6.21, P = 0.04). This effect of metformin was also significant in non-obese (51.4 versus 24.3%, OR 3.28, 95% CI 1.22-8.84, P = 0.02) and insulin-sensitive (54.8 versus 28.6%, OR 3.04, 95% CI 1.03-8.97, P = 0.04) subgroups of AEH women. No significant result was found in secondary endpoints.

CONCLUSION

As a fertility-sparing treatment, metformin plus MA was associated with a higher early CR rate compared with MA alone in AEH patients.

TWEETABLE ABSTRACT

For AEH patients, metformin plus MA might be a better fertility-sparing treatment to achieve a higher early CR rate compared with MA alone.

Epidemiological study of metabolic syndrome in Brazilian soldiers

OBJECTIVE

The aim of this study was to carry out an epidemiological analysis of metabolic syndrome among Brazilian Army soldiers.

SUBJECTS AND METHODS

Two thousand seven hundred and nineteen male soldiers of the Brazilian Army were evaluated from 2014 to 2016. Characteristics: age = 27.77 (± 8.59) years and BMI = 25.15 (± 3.41) kg/m2. Blood tests and anthropometric measures were performed following the criteria of the International Diabetes Federation Task Force on MS Epidemiology and Prevention, 2009. The epidemiological analysis was based on Odds ratio (OR) with confidence interval (CI).

RESULTS

The prevalence of MS found was 12.21%. Both WC and BMI proved to be good predictors of changes in MS physiological markers. Increased WC and BMI were strongly associated with all physiological markers. Soldiers with WC ≥ 90 were more likely to present MS with OR = 33.37 (24.37-45.7). Soldiers with WC ≥ 90 also presented high risk of: high triglycerides with OR = 5.98 (4.69-7.61); low HLD-c with OR = 1.78 (1.47-2.16); and increased systolic blood pressure OR = 3.10 (2.55-3.76). Soldiers with BMI ≥ 30 had a high risk of: increased glucose with OR = 2.69 (1.93-3.75); and increased diastolic blood pressure with OR = 3.02 (2.22-4.10).

CONCLUSION

Both WC and BMI can be considered as good predictors of changes in MS physiological markers. We believe that WC and BMI should be used as screening tools to indicate the soldiers that must undergo blood tests to monitor MS prevalence.

Association between serum high-density lipoprotein cholesterol and bone health in the general population: a large and multicenter study

This study was a cross-sectional study and enrolled 14,147 participants after excluding. We performed a large number of data analyses to indicate that HDL-C levels were related to bone health. A high HDL-C level is an independent risk factor for bone loss both in males and females.

INTRODUCTION

Serum high-density lipoprotein cholesterol (HDL-C), usually called "good" cholesterol, is beneficial for preventing cardiovascular diseases. Previous studies have indicated that HDL-C levels may be related to bone mass. We performed a cross-sectional study to examine the relationship between HDL-C levels and bone mass, both in men and women.

METHODS

A total of 14,147 Chinese participants from five medical centers were enrolled in this study. Pearson's correlation analyses, linear regression analyses, one-way ANOVAs, and logistic regression analyses were performed to assess the relationship between HDL-C levels and bone mass in various cohorts.

RESULTS

Binary logistic regression analyses (after adjusting the confounding factors) indicated that a higher HDL-C level among males leads to a higher risk of at least osteopenia [OR (95% CI) = 1.807 (1.525, 2.142)] and osteoporosis [OR (95% CI) = 1.932 (1.291, 2.892)]. In the female group, the ORs of HDL-C for at least osteopenia [OR (95% CI) = 1.390 (1.100, 1.757)] and osteoporosis [OR (95% CI) = 1.768 (1.221, 2.560)] were still significant after adjusting for potential confounding factors except BMI. Data-standardized bivariate logistic regression analyses indicated that an increase in age is a stronger risk factor for osteoporosis and at least osteopenia than is higher HDL-C levels in females.

CONCLUSIONS

A high HDL-C level is an independent risk factor for bone loss both in males and females. Compared with high HDL-C levels, an increase in age and menopause have a much more negative effect on bone mass in females.

Separate and combined associations of physical activity and obesity with lipid-related indices in non-diabetic and diabetic patients

BACKGROUND

This study evaluated the separate and combined associations of physical activity and obesity with blood lipids in Chinese adults with and without diabetes.

METHODS

Data of 17,535 participants aged 18 to 78 years old were collected. Physical activity was categorized as inactive (low) or active (moderate or high) according to the International Physical Activity Questionnaire. Linear and logistic regression analyses were performed to investigate the associations of physical activity and obesity with lipid-related indices.

RESULTS

Compared with physically active participants, inactive participants had higher triglyceride (TG) level, lower high-density lipoprotein cholesterol (HDL-C) level, and higher odds ratios for abnormal TG and HDL-C. Compared with non-obese participants, obese participants had higher levels of total cholesterol (TC), TG and low-density lipoprotein cholesterol (LDL-C), lower HDL-C level, and higher odds ratios for the four abnormal lipid indices. Inactive obese participants had highest levels of TC, TG and LDL-C, lowest HDL-C level, and highest odds ratios compared to the other groups. No significant associations were found between obesity and TC, LDL-C in patients with diabetes.

CONCLUSIONS

Irrespective of diabetes, physical inactivity and obesity were associated with the presences of abnormal TG and HDL-C. Moreover, there were additive effects on blood lipids when physical inactivity and obesity co-occur.