Combination Of Body Mass Index Research Articles

Association between body mass index combined with high-sensitivity C-reactive protein and the risk of postmenopausal breast cancer: A prospective cohort study.

The present study aimed to assess the risk of postmenopausal breast cancer in women based on a combination of body mass index (BMI) and high-sensitivity C-reactive protein (hs-CRP) levels. A total of 20,400 participants were investigated as part of the 'Kailuan Study' clinical trial. Participants were classified into four groups based on BMI (BMI ≥24 or <24 kg/m2) and hs-CRP level (hs-CRP ≥3 or <3 mg/l). Cox proportional hazards models were used to evaluate the association between the combination of BMI and hs-CRP and the risk of postmenopausal breast cancer. A total of 19,540 participants met the inclusion criteria. The median follow-up time was 14.97 years, with a cumulative follow-up period of 283,599.43 person-years. Among the participants, 269 individuals were diagnosed with postmenopausal breast cancer. Individuals with a high BMI (BMI ≥24 kg/m2) and a high hs-CRP level (hs-CRP ≥3 mg/) had a greater risk of postmenopausal breast cancer compared with individuals with a low BMI (BMI <24 kg/m2) and a low hs-CRP level (<3 mg/l) (hazard ratio, 1.75; 95% confidence interval, 1.25-2.47). The sensitivity analysis showed findings consistent with the primary results. In conclusion, the combination of high BMI and high hs-CRP level is associated with an increased risk of postmenopausal breast cancer. The present study is part of the Kailuan Study. Trial registration number: ChiCTRTNCR11001489 (Chinese Clinical Trial Registry, https://www.chictr.org.cn/showproj.html?proj=8050). Date of registration: 19/07/2015.

The Predictive Factors of Combined Implant Application for Breast Cancer Patients Receiving Immediate Breast Reconstruction with a Pedicled Omental Flap.

Whether a laparoscopically harvested omental flap is adequate for total breast reconstruction could not be determined preoperativaly due to lack of reliable assessment methods. This study aimed to establish a statistical model to predict the probability of omental flap insufficiency. In this study, 200 female patients with breast cancer receiving immediate breast reconstruction with pure pedicled omental flaps or pedicled omental flaps combined with implants after nipple-areolar complex-sparing mastectomy were divided into two groups depending on whether implants were needed or not. The clinical characteristics of these two groups were compared. Correlation of body mass index (BMI) and omental volume was analyzed. Binary logistic regression was performed to predict the probability of implant requirement based on clinical parameters, showing significant differences between the two groups. The patients who needed implants in adjunct treatment were younger. In addition, they had larger breast specimens and smaller omental volumes than the others whose omental flaps were sufficient for total breast reconstruction. Body mass index and omental volume showed a moderately positive correlation. Age, specimen volume, and BMI all were entered into the logistic regression equation. For the patients with a BMI lower than 24.0kg/m2, the probability of requiring implants was 5.467 times that of comparable patients with a BMI of 24.0kg/m2 or higher. At the cutoff of 0.61, the regression equation yielded a sensitivity of 84.2% and a specificity of 72.1% in recognizing subjects with the necessity of implant application. The combination of BMI, age, and volume of breast specimen could predict with high accuracy whether implants are required for breast cancer patients receiving pedicled omental flap-based breast reconstruction.

Predicting Mortality Risks Using Body Mass Index and Weight Loss at Admission in Patients with Heart Failure.

The association of the combination of body mass index (BMI) and weight change at admission with prognoses in patients with heart failure (HF) is unclear. Therefore, we investigated whether BMI and weight changes at admission affect mortality in patients with HF. This retrospective cohort study lasted 99 months, starting in April 2014, and included 4,862 patients with HF from a Japanese real-world database. Cubic and thin-plate smoothing spline analyses were performed to investigate the association of BMI and weight changes with mortality. The percentage weight change was calculated every 6 months. The study outcome was the presence or absence of death. The patients' mean age was 81.5±9.6 years, and 1,239 (25.5%) patients died. Cubic spline analysis revealed a negative correlation of BMI with mortality hazard ratio (HR) (BMI of 18.5 kg/m2 and 25 kg/m2; HR=1.3 [1.2-1.4] and 0.8 [0.7-0.9], respectively). Cubic spline analysis of weight change showed that weight loss tended to increase the mortality HR (each 6% decrease in weight change rate was associated with a 1.1 times higher mortality risk (95% CI [1.0-1.2]) Thin-plate smoothing spline analysis showed that the odds ratio (OR) negatively correlated with BMI (1-year mortality: BMI of 18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.5, 1.0, and 0.7, respectively; 2-year mortality: BMI=18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.4, 0.9, and 0.7, respectively). A low BMI in patients with HF was associated with a higher risk of mortality. Weight loss in patients, regardless of BMI, was associated with a higher OR for mortality.

Diagnostic Accuracy of the Triglyceride-Glucose Index (TyG), TyG Body Mass Index, and TyG Waist Circumference Index for Liver Steatosis Detection.

The triglyceride-glucose index (TyG) and a combination of body mass index (BMI) and waist circumference (WC) have been proposed as predictive scores for liver steatosis (LS). The aim of this study was to determine the diagnostic accuracy of these indices compared with controlled attenuation parameters (CAPs) and other predictive scores of LS. A retrospective analysis of patients who attended a check-up unit in 2021 was performed. LS was determined by CAP. Anthropometric and biochemical parameters for calculating TyG, TyG-BMI, TyG-WC, fatty liver index, and hepatic steatosis index were obtained. ROC curve was used to establish the best cut-off point of each TyG index for LS detection. The accuracy was determined for all patients, as well as for overweight and diabetic patients. Medical records of 855 patients with a median age of 48 [IQR, 44-54] years and a BMI of 25.7 [IQR 23.4-28.1] kg/m2 were included. According to CAP, LS prevalence was 31.8% (n = 272). TyG-BMI and TyG-WC show better AUCs compared with CAP (0.82, 0.81), FLI (0.96, both), and HSI (0.93, 0.85). For diabetic patients, TyG-WC shows an AUC of 0.70. Meanwhile, TyG-BMI shows better accuracy (0.75) compared with CAP. TyG-BMI and TyG-WC showed a superior predictive accuracy for detecting LS compared with the TyG index.

Abstract P139: Association Between Anthropometric Measurements and Diabetes and Their Abilities to Predict Diabetes: Based on the UK Whitehall II Study

Introduction: It is recognized that people with a high body mass index (BMI) will have a high risk of developing diabetes. However, some studies showed that other indices may provide a more accurate insight into the risk of developing diabetes. Our study aimed to compare the predictive abilities of 5 anthropometric measurements [BMI, waist circumference (WC), waist-to-height ratio (WHtR), waist-by-height0.5 (WHT.5R), and a body shape index (ABSI)] for diabetes. Hypothesis: WHtR may be most strongly associated with diabetes. High WHtR but normal BMI persons may have higher risk for developing diabetes than persons with high BMI but normal WHtR. Methods: From the UK Whitehall II cohort, we included participants with full records of weight, height, and WC in Phase 3 (1991-1994) for baseline survey, and carried out follow-up survey in Phase 9 (2007-2009) for the non-diabetics of the baseline survey. Our study indices, BMI, WC, WHtR, WHT.5R, and ABSI, were calculated from measured weight, height, or WC. Based on the recognized cut-off value of BMI, WC, and WHtR, we classified the persons into normal group (BMI: &lt;25 kg/m 2 ; WC: &lt;90 cm for men and &lt;80 cm for women; WHtR: &lt;0.5) and abnormal group (≥ corresponding cut-off value). For the indices (WHT.5R and ABSI) without an accepted cut-off value, we selected the 75th cohort-wide centile as the cut point to divide the participants into normal group (WHT.5R &lt;75th cohort-wide centile; ABSI &lt;75th cohort-wide centile) and abnormal group (≥ corresponding cut-off value). Subgroup analyses were based on combination of BMI and WHtR (normal BMI + normal WHtR; high BMI + normal WHtR; normal BMI + high WHtR; high BMI + high WHtR). The outcome is diabetes. We studied predictive value of the indices to diabetes by receiver operator characteristic (ROC) curve analysis at baseline survey, and evaluated the association between the indices and diabetes by Cox regression analysis at follow-up survey. Results: A total of 7979 participants were included at baseline survey [mean age: 50.1 ± 6.0 years; 2468 (30.9%) females], and there were 7488 non-diabetics available for the follow-up survey. At baseline survey, ABSI [areas under the curve (AUC): 0.711, sensitivity: 77.0%, specificity: 55.5%] and WHtR (AUC: 0.709, sensitivity: 67.2%, specificity: 65.6%) had top 2 predictive value of diabetes. At follow-up survey, the abnormal group divided by cut-off value of WHtR had the highest hazard ratio (HR) (2.46; 95% CI: 2.06-2.93), while the abnormal group classified by ABSI cut-off value had the lowest HR (1.77; 95% CI: 1.45-2.15). In subgroup analyses, “normal BMI + high WHtR” group (HR: 2.28; 95% CI: 1.59-3.27) appears to have higher risk for developing diabetes than “high BMI + normal WHtR” group (HR: 1.63; 95% CI: 1.22-2.17). Conclusion: WHtR seems to be an effective indicator for predicting diabetes. Besides BMI, controlling WHtR to the normal range is important for the prevention of diabetes.

The combination of body mass index and fasting plasma glucose is associated with type 2 diabetes mellitus in Japan: a secondary retrospective analysis.

Body mass index (BMI) and fasting plasma glucose (FPG) are known risk factors for type 2 diabetes mellitus (T2DM), but data on the prospective association of the combination of BMI and FPG with T2DM are limited. This study sought to characterize the association of the combination of BMI and FPG (ByG) with T2DM. The current study used the NAGALA database. We categorized participants by tertiles of ByG. The association of ByG with T2DM was expressed with hazard ratios (HRs) with 95% confidence intervals (CIs) after adjustment for potential risk factors. During a median follow-up of 6.19 years in the normoglycemia cohort and 5.58 years in the prediabetes cohort, the incidence of T2DM was 0.75% and 7.79%, respectively. Following multivariable adjustments, there were stepwise increases in T2DM with increasing tertiles of ByG. After a similar multivariable adjustment, the risk of T2DM was 2.57 (95% CI 2.26 - 2.92), 1.97 (95% CI 1.53 - 2.54) and 1.50 (95% CI 1.30 - 1.74) for a per-SD change in ByG in all populations, the normoglycemia cohort and the prediabetes cohort, respectively. ByG was associated with an increased risk of T2DM in Japan. The result reinforced the importance of the combination of BMI and FPG in assessing T2DM risk.

Multivariate logistic regression analysis of the clinical factors influencing locally advanced prostate cancer.

Locally advanced prostate cancer (PCa) carries a high risk of recurrence and metastasis after surgery, and the prognosis is poor. We explored the risk factors for locally advanced PCa among clinical factors (neutrophil: lymphocyte ratio, lymphocyte: monocyte ratio) and indicators of systemic inflammation [prostate-specific antigen (PSA) level, Gleason score, body mass index (BMI)] through retrospective evaluation of patients with PCa diagnosed at our center. The pathologic T stage was a key indicator of locally advanced PCa. Data from patients with pathologically confirmed PCa at our center from 1 January 2015 to 1 May 2020 were collected in strict accordance with inclusion and exclusion criteria. Clinical data were collected and the relationship between the indicators and the pathologic T stage was explored. First, Spearman rank correlation analysis was used to find the correlates of the pathologic T stage. Then, logistic ordered multiple regression analysis was used to identify independent risk factors. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracy for the T stage of PCa. After rigorous screening, the data of 177 patients were obtained. Spearman correlation analysis showed that BMI, the PSA level, Gleason score, hypertension, N stage, and M stage were significantly correlated with the T stage (P<0.05), suggesting that these factors may be involved in locally advanced PCa. Analyses of ROC curves showed that the PSA level [area under the ROC curve (AUC) =0.802] had greater value than BMI (0.675) for the diagnosis of the pathologic T stage PCa, and that a combination of BMI and PSA (combined AUC =0.822) could improve locally advanced PCa diagnosis. BMI and PSA are independent risk factors for locally advanced PCa. They may play a key part in locally advanced PCa.

Clinical features and risk factors of left ventricular hypertrophy in children with primary hypertension

Objective: To assess the clinical features and relative factors of left ventricular hypertrophy (LVH) in children with primary hypertension. Methods: In this retrospective cohort study, 430 children diagnosed with primary hypertension in Children's Hospital, Capital Institute of Pediatrics from January 2019 to September 2022 were enrolled. Their clinical data was analyzed and LVH was assessed by echocardiography. According to left ventricular geometry, these children were assigned to the LVH group and normal geometry group. General conditions, laboratory indicators and ambulatory blood pressure parameters between two groups were compared by independent sample t-test or Mann-Whitney U test. Spearman correlation coefficient was used to analyze the correlation between LVH and clinical indicators including blood pressure, biochemical and metabolic indicators. The independent risk factors of LVH were analyzed by multivariable logistic regression. The receiver operating characteristic (ROC) curve was used to explore the value of risk factors in the diagnosis of LVH. Results: Among the 430 children with primary hypertension, 342 (79.5%) were males and 88 (20.5%) females. Their age was (12.6±2.3) years, and 123 children (28.6%) of them had LVH. Body mass index (BMI) ((30.0±5.2) vs. (26.2±4.3) kg/m2), ratio of stage 2 hypertension (75.6% (93/123) vs. 59.6% (183/307)), 24-hour systolic blood pressure (24 h SBP)((131±10) vs. (128±10) mmHg,1 mmHg=0.133 kPa), daytime systolic blood pressure (SBP) ((135±11) vs. (131±11) mmHg), nighttime SBP ((128±11) vs. (123±10) mmHg), cholesterol level ((4.0±0.7) vs. (3.9±0.7) mmol/L), serum uric acid level ((447±81) vs. (426±91) μmol/L) and incidence of hyperinsulinemia (69.9% (86/123) vs.59.0% (181/307)) were significantly elevated in the LVH group compared with those in the normal geometry group (all P<0.05). There were more patients with a disease course over 5 years in the LVH group than in the normal geometry group, with a statistically significant difference (χ2=8.90,P=0.031). Spearman correlation analysis showed that BMI, 24 h SBP, daytime SBP, nighttime SBP, triglyceride, uric acid, and serum sodium level were positively correlated with LVMI (r=0.43, 0.20, 0.18, 0.18, 0.18, 0.16, and 0.12, all P<0.05). BMI, hyperinsulinemia, and cholesterol level were positively correlated with relative wall thickness (RWT) (r=0.22, 0.12, and 0.16, all P<0.05). The multivariate logistic regression analysis showed that BMI (OR=1.17, 95%CI 1.10-1.25) and 24 h SBP (OR=1.04, 95%CI 1.01-1.08) were the independent risk factors for LVH (both P<0.05). The area under the receiver operator characteristic curve, combined with BMI and 24 h SBP, was 0.72 (95%CI 0.67-0.77, P<0.05), with a sensitivity and specificity of 71.5% and 64.8%, respectively. Conclusions: BMI and 24 h SBP are the independent risk factors for LVH in children with primary hypertension, and the combination of BMI and 24 h SBP has an acceptable diagnostic value for LVH. Early monitoring of these indexes is necessary to predict preclinical cardiac damage.

Increased body weight and central adiposity markers are positively associated with the 20-year incidence of cardiovascular disease: The ATTICA epidemiological study (2002–2022)

Increased adiposity predisposes to cardiovascular disease (CVD). We hypothesized that the presence of obesity would be positively associated with CVD risk, and that the co-presence of central obesity would modify/enhance this association. This was a prospective study (2002–2022) among 1845 Greek adults (mean age, 44.8 ± 13.5 years; men, 49.8%). At baseline, the presence of overweight/obesity was assessed via body mass index (BMI), whereas central obesity was defined as waist circumference ≥102/88 cm, waist-to-hip-ratio ≥0.95/0.80, or waist-to-height-ratio ≥0.50 in men/women. BMI was reevaluated at 10 years and longitudinal BMI trajectories (2002–2012) were identified. CVD incidence was recorded at 20 years (ratio of new cases to the number of participants assessed). Compared with participants with normal weight at baseline, those with obesity exhibited a 27% higher 20-year CVD risk after adjustment for age, sex, lifestyle habits, and medical status (hazard ratio, 1.271; 95% confidence interval, 1.012–1.597). In similar multiadjusted models, compared with participants who were always non-overweight/obese, those who were always overweight/obese exhibited a 40% higher 20-year CVD risk (hazard ratio, 1.403; 95% confidence interval, 1.018–1.936). Additional control for high-sensitivity C-reactive protein attenuated the associations. In the combined baseline body weight classification analysis, CVD incidence was the lowest in participants with normal weight without central obesity, moderate in those with overweight/obesity without central obesity, and highest in those with normal weight and central obesity and overweight/obesity and central obesity (P < .001). Obesity leads to increased CVD risk, partly mediated by inflammation. The combination of BMI with simple measures of abdominal adiposity is superior for CVD risk screening.

Potential confounders of the obesity paradox in older patients following transcatheter aortic valve replacement.

A higher body mass index (BMI) is associated with lower mortality in older patients following transcatheter aortic valve replacement (TAVR) for severe aortic valve stenosis. The current study aimed to investigate potential confounders of association between BMI and prognosis. The retrospective single-center study included consecutive patients following TAVR and excluded those in whom subcutaneous fat accumulation (SFA), visceral fat accumulation (VFA), and major psoas muscle (MPM) volume were not assessed by computed tomography. Cachexia was defined as a combination of BMI < 20kg/m2 and any biochemical abnormalities. After 2 patients were excluded, 234 (age, 86 ± 5years; male, 77 [33%]; BMI, 22.4 ± 3.8kg/m2; SFA, 109 (54-156) cm2; VFA, 71 (35-115) cm2; MPM, 202 (161-267) cm3; cachexia, 49 [21%]) were evaluated. SFA and VFA were strongly correlated with BMI (ρ = 0.734 and ρ = 0.712, respectively), whereas MPM was weakly correlated (ρ = 0.346). Two-year all-cause mortality was observed in 31 patients (13%). Higher BMI was associated with lower mortality (adjusted hazard ratio [aHR], 0.86; 95% confidence interval [CI], 0.77-0.95). A similar result was observed in the multivariate model including SFA (aHR in an increase of 20 cm2, 0.87; 95% CI, 0.77-0.98) instead of BMI, whereas VFA was not significant. Cachexia was a worse predictor (aHR, 2.51; 95% CI 1.11-5.65). Association of higher BMI with lower mortality may be confounded by SFA in older patients following TAVR. Cachexia might reflect higher mortality in patients with lower BMI.

Association of body indices and risk of mortality in patients with type 2 diabetes

IntroductionA body shape index (ABSI) is independently associated with mortality in general population, but studies on the predictability of ABSI in the risk of mortality in patients with type 2...

Optimized calculator for a qualitative risk assessment of osteoporotic fractures for the population of Moscow

BACKGROUND: The FRAX tool (a 10-year fracture risk assessment) is recommended to diagnose osteoporosis and optimize the number of patients who need to undergo X-ray densitometry. Due to various circumstances, the integration of a full-fledged FRAX tool into the digital circuits of the Moscow City Health Department is problematic.&#x0D; AIM: The study aimed to develop a calculator of the 10-year probability of osteoporotic fractures to optimize the routing of patients for examination.&#x0D; METHODS: An optimized Half-FRAX calculator was created based on the FRAX tool from the University of Sheffield, which was developed using the results of population studies of the Russian Federation. All data used in the original FRAX algorithm, i.e. sex, age, height, weight, and T-criterion (if available) and other important parameters such as a history of fractures, parental hip fractures, smoking, rheumatoid arthritis, secondary osteoporosis, and glucocorticoid and alcohol intake were included in the risk assessment calculator. An algorithm for interaction with the FRAX website was developed and implemented to verify critical levels of patient stratification by multiple consecutive enumerations of different combinations of body mass index (BMI) measurements (0.1 discretization) and age (1-year discretization). Data from clinical guidelines were taken as thresholds.&#x0D; RESULTS: When implementing the developed algorithm by modeling various combinations of BMI, T-criterion, and risk factors (RF), the absence of RFs and BMI 25 (upper limit of normal) in women was shown to guarantee the exclusion from the orange zone where densitometry should be performed. In men, BMI was not a RF. If a RF was present, a patient was recommended to consult a doctor. If no T-criterion was present, but a RF was detected, the patient was indicated for densitometry. Similar results were reported for women with the same indices. In the absence of the RF and with a T-criterion 2.5, low fracture risk factor was indicated for both men and women.&#x0D; CONCLUSIONS: An optimized Half-FRAX calculator for the 10-year probability of major osteoporotic fractures was developed, which may optimize the routing of patients for densitometry and reduce the burden on radiology departments in Moscow. This will allow patients to be timely referred to the clinical specialists for consultations. Half-FRAX is integrated into the Osteoporosis Digital Platform (https://telemedai.ru/cifrovaya-platforma-osteoporoz/half-frax).

Normal-weight visceral obesity promotes a higher 10-year atherosclerotic cardiovascular disease risk in patients with type 2 diabetes mellitus–a multicenter study in China

BackgroundVisceral obesity is associated with high cardiovascular events risk in type 2 diabetes mellitus (T2DM). Whether normal-weight visceral obesity will pose a higher atherosclerotic cardiovascular disease (ASCVD) risk than body mass index (BMI)-defined overweight or obese counterparts with or without visceral obesity remains unclear. We aimed to explore the relationship between general obesity and visceral obesity and 10-year ASCVD risk in patients with T2DM.MethodsPatients with T2DM (6997) who satisfied the requirements for inclusion were enrolled. Patients were considered to have normal weight when 18.5 kg/m2 ≤ BMI < 24 kg/m2; overweight when 24 kg/m2 ≤ BMI < 28 kg/m2; and obesity when BMI ≥ 28 kg/m2. Visceral obesity was defined as a visceral fat area (VFA) ≥ 100 cm2. Patients were separated into six groups based on BMI and VFA. The odd ratios (OR) for a high 10-year ASCVD risk for different combinations of BMI and VFA were analysed using stepwise logistic regression. Receiver operating characteristic (ROC) curves for diagnosing the high 10-year ASCVD risk were constructed, and areas under the ROC curves were estimated. Potential non-linear relationships between VFA levels and high 10-year ASCVD risk were examined using restricted cubic splines (knot = 4). Multilinear regression was used to identify factors affecting VFA in patients with T2DM.ResultsIn patients with T2DM, subjects with normal-weight visceral obesity had the highest 10-year ASCVD risk among the six groups, which had more than a 2-fold or 3-fold higher OR than those who were overweight or obese according to BMI but did not have visceral obesity (all P < 0.05). The VFA threshold for high 10-year ASCVD risk was 90 cm2. Multilinear regression showed significant differences in the effect of age, hypertension, drinking, fasting serum insulin, fasting plasma glucose, 2 h postprandial C-peptide, triglyceride, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol on VFA in patients with T2DM (all P < 0.05).ConclusionsT2DM patients with normal-weight visceral obesity had a higher 10-year ASCVD risk than BMI-defined overweight or obese counterparts with or without visceral obesity, which should initiate standardised management for ASCVD primary prevention.

Potential utility of risk stratification for multicancer screening with liquid biopsy tests

Our proof-of-concept study reveals the potential of risk stratification by the combined effects of age, polygenic risk scores (PRS), and non-genetic risk factors in increasing the risk-benefit balance of rapidly emerging non-invasive multicancer early detection (MCED) liquid biopsy tests. We develop and validate sex-specific pan-cancer risk scores (PCRSs), defined by the combination of body mass index, smoking, family history of cancers, and cancer-specific polygenic risk scores (PRSs), to predict the absolute risk of developing at least one of the many common cancer types. We demonstrate the added value of PRSs in improving the predictive performance of the risk factors only model and project the positive and negative predictive values for two promising multicancer screening tests across risk strata defined by age and PCRS.

Association of normal-weight central obesity with hypertension: a cross-sectional study from the China health and nutrition survey

BackgroundCentral obesity is associated with an increased risk of hypertension in the general population. However, little is known regarding the potential relationship between central obesity and the risk of hypertension among adults with a normal body mass index (BMI). Our aim was to assess the risk of hypertension among individuals with normal weight central obesity (NWCO) in a large Chinese population.MethodsWe identified 10 719 individuals aged 18 years or older from the China Health and Nutrition Survey 2015. Hypertension was defined by blood pressure measurements, physician diagnosis, or the use of antihypertensive treatment. Multivariable logistic regression was used to assess the association of obesity patterns, defined by BMI, waist circumference (WC) and waist hip ratio (WHR), with hypertension after adjusting for confounding factors.ResultsThe patients’ mean age was 53.6 ± 14.5 years, and 54.2% were women. Compared with individuals with a normal BMI but no central obesity, subjects with NWCO had a greater risk of hypertension (WC: OR, 1.49, 95% CI 1.14–1.95; WHR: OR, 1.33, 95% CI 1.08–1.65). Overweight-obese subjects with central obesity demonstrated the highest risk of hypertension after adjustment for potential confounders (WC: OR, 3.01, 95% CI 2.59–3.49; WHR: OR, 3.08, CI 2.6–3.65). Subgroup analyses showed that the combination of BMI with WC had similar findings to the overall population except for female and nonsmoking persons; when BMI was combined with WHR, a significant association of NWCO with hypertension was observed only in younger persons and nondrinkers.ConclusionsCentral obesity, as defined by WC or WHR, is associated with an increased risk of hypertension in Chinese adults with normal BMI, highlighting the need to combine measures in obesity-related risk assessment.

Combined general and central obesity indices to predict gestational diabetes

Objective To investigate the relationship between general and central obesity in the first trimester of pregnancy and gestational diabetes and its predicted value. Materials and methods We recruited 813 women who registered at 6–12 weeks of gestation. Anthropometric measurements were done at the first antenatal visit. At 24–28 weeks of pregnancy, gestational diabetes was diagnosed using the 75 g oral glucose tolerance test. Binary logistic regression was used to determine odds ratios and 95% confidence intervals. The receiver-operating characteristic curve was used to evaluate the ability of obesity indices to predict the risk of gestational diabetes. Results Odds ratios (95% confidence intervals) of gestational diabetes across increasing quartiles of waist-to-hip ratio were 1.00, 1.54 (0.65–3.66), 2.63 (1.18–5.85), and 4.96 (2.27–10.85), respectively (p < .001), while those for waist-to-height ratio were 1.00, 1.21 (0.47–3.08), 2.99 (1.26–7.10), and 4.01 (1.57–10.19), respectively (p < .001). Areas under the curve for general and central obesity were similar. However, the area under the curve of body mass index combined with the waist-to-hip ratio was the biggest. Conclusion Higher waist-to-hip ratio and waist-to-height ratio in the first trimester of pregnancy are associated with increased risks of gestational diabetes in Chinese women. The combination of body mass index and waist-to-hip ratio in the first trimester of pregnancy is a good predictor for gestational diabetes.

Comparison of the diagnostic value between triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio in metabolic-associated fatty liver disease patients: a retrospective cross-sectional study

BackgroundThe triglyceride and glucose index (TyG) and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute markers of insulin resistance (IR). In a retrospective cross-sectional study, the authors aimed to compare the efficacy of the two indicators in diagnosing metabolic-associated fatty liver disease (MAFLD) to construct a novel disease diagnosis model.MethodsOverall, 229 patients (97 MAFLD and 132 Non-MAFLD at West China Hospital of Sichuan University were included. MAFLD was diagnosed using ultrasonography. Biochemical indexes were collected and analyzed by logistic regression to screen out indicators that were expressed differently in MAFLD patients and healthy controls, which were incorporated into a diagnostic model.ResultsAfter adjusting for age, sex, and body mass index (BMI), serum alanine transaminase (ALT), aspartate transaminase (AST), AST/ALT (A/A), fasting plasma glucose (FPG), cystatin C (Cys-C), uric acid (URIC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), non-HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C, TG/HDL-C, TC/HDL-C, TyG, and TyG-BMI were risk factors for MAFLD. The odds ratio of TG/HDL-C and TyG were 5.629 (95%CI: 3.039–10.424) and 182.474 (95%CI: 33.518–993.407), respectively. In identifying MAFLD, TyG, TyG-BMI, TG, and TG/HDL-C were found to be the most vital indexes based on the random forest method, with the area under the curve (AUC) greater than 0.9. In addition, the combination of BMI, ALT, and TyG had a high diagnostic efficiency for MAFLD.ConclusionsTyG and TG/HDL-C were potential risk factors for MAFLD, and the former performed better in diagnosing MAFLD. The combination of BMI, ALT, and TyG improved the diagnostic capability for MAFLD.

Adverse Childhood Experiences and Obesity Linked to Indicators of Gut Permeability and Inflammation

ObjectivesGut permeability appears to increase cardiovascular disease risk by allowing bacterial components to enter the bloodstream, leading to low-grade inflammation. Emerging evidence suggests that psychosocial stress promotes gut permeability, but the effect of chronic stress induced by adverse childhood experiences (ACEs) on the gut barrier remains unclear. Moreover, the existence of an additive effect of psychological stressors and nutritional factors that increase gut permeability – such as obesity – is unknown. We aimed to: 1) investigate the effect of ACEs on gut permeability indices, and 2) examine whether high ACE status and obesity in combination have a greater, negative effect on indicators of gut permeability and inflammation than either alone.MethodsWomen (N = 79, aged 18–84 y) free of cardiometabolic diseases (other than obesity) and inflammatory conditions and not regularly taking anti-inflammatory medications were included in a 2 × 2 factorial design with ACE status (either 0 ACEs or 3 + ACEs) and body mass index (BMI) (either normal-weight [18.5–24.9 kg/m2; NW] or obesity [>30 kg/m2; OB]) as factors (n = 15–27/group). Fasting serum was obtained and markers of gut permeability (i.e., lipopolysaccharide [LPS] binding protein; fatty-acid binding protein-2 [FABP2]; anti-LPS core IgM; soluble CD14 (sCD14) and inflammation (i.e., C-reactive protein [CRP]; tumor necrosis factor [TNF]-α; interleukin [IL]-6) measured. Data were analyzed using 2-way ANCOVA (age-adjusted) with SPSS 26.ResultsLPS binding protein and FABP2 were higher in OB versus NW, regardless of ACE status (PBMI ≤ 0.04). Higher ACE status was associated with increased circulating anti-LPS core IgM (PACE = 0.04), but BMI had no effect. sCD14 was unaffected by BMI or ACEs. CRP was elevated in OB vs. NW (PBMI < 0.001) and tended to be higher with 3 + ACEs compared to 0 ACEs (PACE = 0.06). Moreover, TNF-α was greater in 3 + ACEs relative to 0 ACEs (PACE = 0.03). IL-6 was unaltered by BMI or ACE status. No interaction effects were observed for any marker of gut permeability or inflammation.ConclusionsHigh ACE status and obesity were independently associated with evidence of gut permeability and inflammation, but no combination of BMI and ACE status affected these measures.Funding SourcesNIA R36, NIGMS P20, NHLBI F31.

Combination of Body Mass Index and Fasting Blood Glucose Improved Predictive Value of New-Onset Prediabetes or Diabetes After Acute Pancreatitis: A Retrospective Cohort Study.

ObjectivesWe sought to evaluate whether combining body mass index (BMI) and fasting blood glucose (FBG) can refine the predictive value of new-onset prediabetes/diabetes after acute pancreatitis (NODAP).MethodsIn this retrospective cohort study, we used Kaplan–Meier analysis to compare differences in the NODAP rate among 492 patients with different BMI or FBG levels, or with the combination of these 2 factors mentioned above.ResultsIn all, 153 of 492 (31.1%) eligible patients finally developed NODAP. According to univariate and multivariate analyses, BMI (hazard ratio, 2.075; 95% confidence interval, 1.408–3.060; P < 0.001) and FBG (hazard ratio, 2.544; 95% confidence interval, 1.748–3.710; P < 0.001) were important predictors of the incidence of NODAP. Subsequently, we divided 492 eligible patients into 3 groups according to the median BMI and FBG values, and found that the NODAP rate in the high-risk group was significantly higher than that in the medium-risk group (P = 0.018) or the low-risk group (P < 0.001).ConclusionsBody mass index and FBG are independent predictors of NODAP. The combination of BMI and FBG can refine the prediction of NODAP and identify candidates for clinical prevention.

Focal psychodynamic therapy, cognitive behaviour therapy, and optimised treatment as usual in female outpatients with anorexia nervosa (ANTOP study): 5-year follow-up of a randomised controlled trial in Germany

Anorexia nervosa is a serious illness leading to substantial morbidity and mortality. The Anorexia Nervosa Treatment of Outpatients (ANTOP) study is the largest randomised controlled trial (RCT) globally that uses psychotherapy in outpatients with anorexia nervosa. In this Article, we report the results of the 5-year follow-up. The ANTOP study is an open-label, multicentre RCT involving 242 adult female outpatients with anorexia nervosa. Participants were recruited from ten university hospitals in Germany, had to be aged at least 18 years and female, and have a diagnosis of anorexia nervosa with a body-mass index (BMI) of 15·0-18·5 kg/m2. Participants were randomly allocated (1:1:1) to 10 months of treatment with focal psychodynamic therapy, enhanced cognitive behaviour therapy, or optimised treatment as usual; complete masking of the participants was not possible. The mean duration of the follow-up was 5·96 years (SD 0·2) after randomisation. The primary outcome was change in BMI from baseline at the end of treatment; here, we present the change in BMI from baseline to the 5-year follow-up, using an intention-to-treat approach with a mixed model for repeated measurements. Groups were also compared according to global outcome (based on the combination of BMI and measures of anorexia severity), eating pathology (based on the Eating Disorder Inventory 2), and other secondary mental health outcomes. We did a linear regression analysis to identify the predictors of BMI at follow-up. Between May, 2007, and June, 2009, we screened 727 patients for eligibility; at baseline, 242 patients with a mean BMI of 16·7 kg/m2 (SD 1·0) were included and randomly allocated to 10 months of treatment with focal psychodynamic therapy, enhanced cognitive behaviour therapy, or optimised treatment as usual. 154 (64%) of 242 patients completed the 5-year follow-up assessment (53 [66%] of 80 in the focal psychodynamic therapy group, 55 [69%] of 80 in the enhanced cognitive behaviour therapy group, and 46 [56%] of 82 in the optimised treatment-as-usual group), with a mean age of 32·4 years; all reported their ethnicity as White. At the 5-year follow-up, there was an improvement in mean BMI, eating pathology, and global outcome in all treatment groups with no significant differences between treatment groups. Estimated mean BMI was: 18·64 kg/m2 (95% CI 18·07-19·21) in the focal psychodynamic therapy group (with an estimated mean BMI gain from baseline to 5-year follow-up of 1·91 kg/m2 [1·34-2·48]); 18·70 kg/m2 (18·15-19·25) in the enhanced cognitive behaviour therapy group (with an estimated mean BMI gain of 1·98 kg/m2 [1·43-2·53]); and 18·99 kg/m2 (18·39-19·59) in the optimised treatment-as-usual group (with an estimated mean BMI gain of 2·26 kg/m2 [1·67-2·86]). There were no significant differences between treatment groups regarding BMI at the 5-year follow-up; the estimated difference was -0·06 (-0·85 to 0·73) between the focal psychodynamic therapy and enhanced cognitive behaviour therapy groups; -0·35 (-1·18 to 0·47) between the focal psychodynamic therapy and optimised treatment-as-usual groups; and -0·29 (-1·10 to 0·52) between the enhanced cognitive behaviour therapy and optimised treatment-as-usual groups. On the basis of observed data, global outcome at the 5-year follow-up showed 41% (33-49) full recoveries, 41% (33-49) partial recoveries, and 18% (12-24) with full-syndrome anorexia nervosa. One patient initially treated in the enhanced cognitive behaviour therapy group died by suicide between the 1-year and 5-year follow-up. BMI at the 5-year follow-up was predicted by BMI at baseline (p=0·0021), illness duration (p=0·0004), and depression at baseline (p=0·012). The long-term results of the ANTOP trial confirm the improvement in BMI of patients with anorexia nervosa in all groups; however, a substantial proportion of patients had a poor global outcome. The predictors for the long-term course of anorexia nervosa in our ANTOP study show that we need to treat patients with anorexia nervosa at an earlier stage of the disease, with a clear focus on weight gain and considering other comorbidities (especially depression). German Federal Ministry of Education and Research.