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BACKGROUND: Diabetes is more apparent in adulthood but may be dormant in childhood and originates during early fetal development. In fetal biometry, femur length (FL) is crucial for assessing fetal growth and development. This study aimed to assess potential associations between fetal femur growth and prediabetic biomarkers in Bangladeshi children. METHODS: A cohort study embedded in a population-based maternal food and micronutrient supplementation (MINIMat) trial was conducted in Matlab, Bangladesh. The children in the cohort were followed up until 15 years of age. In the original trial, pregnancy was confirmed by ultrasound before 13 gestational weeks (GWs). Afterward, ultrasound assessments were performed at 14, 19, and 30 GWs. FL was measured from one end to the other, capturing a complete femoral image. The FL was standardized by GW, and a z-score was calculated. FBG and HbA1c levels were determined in plasma and whole blood, and the triglyceride-glucose index, a biomarker of insulin resistance, was calculated as Ln [fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2]. Multivariable linear regression analysis using a generalized linear model was performed to estimate the effects of FL at 14, 19 and 30 GWs on prediabetic biomarkers at 9 and 15 years of age. Maternal micronutrient and food supplementation group, parity, child sex, and BMI at 9 years or 15 years were included as covariates. RESULTS: A total of 1.2% (6/515) of the participants had impaired fasting glucose during preadolescence, which increased to 3.5% (15/433) during adolescence. At 9 years, 6.3% (32/508) of the participants had elevated HbA1c%, which increased to 28% (120/431) at 15 years. Additionally, the TyG index increased from 9.5% (49/515) (during preadolescence) to 13% (56/433) (during adolescence). A one standard deviation decrease in FL at 14 and 19 GWs was associated with increased FBG (ß = - 0.44 [- 0.88, - 0.004], P = 0.048; ß = - 0.59 [- 1.12, - 0.05], P = 0.031) and HbA1c (ß = - 0.01; [- 0.03, -0.005], P = 0.007; ß = - 0.01 [- 0.03, - 0.003], P = 0.018) levels at 15 years. FL was not associated with diabetic biomarkers at 9 years. CONCLUSION: Mid-trimester impaired femur growth may be associated with elevated prediabetic biomarkers in Bangladeshi adolescents.
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Background: This study investigates how lifestyle factors and westernization contribute to obesity and examines the influence of body mass index (BMI) changes and lifestyle factors on "lipitension," a significant risk factor for heart disease and metabolic syndrome. Methods: This prospective study focused on women aged 20-64 without pre-existing hypertension and dyslipidemia who underwent regular medical checkups between April 2016 and March 2022. Anthropometric measurements and blood pressure, along with low-density lipoprotein, high-density lipoprotein, and triglycerides levels, were assessed. Results: Over an average 46.5-month follow-up, 11.5% of initially healthy young and middle-aged women developed lipitension. Categorizing participants based on BMI changes revealed stable (63.8%), decreased (12.5%), and increased (23.8%) groups within this 11.5%. Increased BMI is linked with a heightened hazard risk for lipitension. Women with increased BMI who refrained from snacking (aHR [95% confidence interval (CI)] = 2.750 [1.433-5.279]), avoided late-night eating (aHR [95% CI] = 1.346 [1.032-1.754]), and engaged in alcohol consumption (aHR [95% CI] = 2.037 [1.138-3.646]) showed an elevated risk. Conversely, within the decreased BMI group, behaviors like skipping breakfast (aHR [95% CI] = 0.190 [0.047-0.764]), eating quickly (aHR [95% CI] = 0.457 [0.215-0.972]), and not eating late (aHR [95% CI] = 0.665 [0.467-0.948]) were associated to a reduced lipitension. Subgroup analysis for women with BMI <23 revealed specific behaviors influencing lipitension risk in both BMI-increased and BMI-stable groups. Conclusion: Customized interventions, including for women with BMI <23, enhance heart health, mitigating global lifestyle diseases and obesity.
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Introduction Several studies have reported the usefulness of measuring lower limb muscle strength through the motion of standing up using a reaction force measuring device positioned on the ground. There is inadequate information on the association between cardiovascular disease risk factors and ground reaction force (GRF) during standing up. Therefore, this study estimated the association between GRF by sit-to-stand movements and cardiovascular disease risk factors in a health check-up population. Methods This cross-sectional study included 1,182 healthy participants without chronic diseases who underwent periodic health check-ups from August 2019 to December 2020. The study included individuals aged ≥20 years who underwent a standing test from an initial seated position in a chair. A sit-to-stand force analyzer was used to measure GRF, and health status information was collected at enrollment. The relationships between blood test data and each measurement obtained from GRF measurements (forth/body mass (F/M), rate of forth development/body mass (RFD/M), and stable time) were parsed according to sex using linear regression analysis coordinated by age. GRF measurements and their relationships with cardiovascular disease risk factors were assessed using logistic regression analysis, adjusted for age and sex. Results A total of 1,182 participants was included in this study, with male participants accounting for 61.5%. The study participants had a median age of 57.0 years (IQR: 47.0-63.0). After adjusting for age, F/M was positively associated with high-density lipoprotein cholesterol in male (ß=22.59, p<0.001) and female participants (ß=20.35, p=0.011) and negatively associated with plasma glucose in male (ß=-16.25, p=0.008) and female participants (ß=-18.78, p=0.028). Stable time (time required to be stabilize after standing up movement) was positively associated with hemoglobin A1c levels in male (ß=0.55, p=0.001) and female participants (ß=0.56, p=0.036). Logistic regression analysis adjusted by age and sex showed that a lower F/M ratio was associated with hypertension, hyperlipidemia, and diabetes mellitus (adjusted odds ratio (aOR) =1.60, p=0.01; aOR=1.75, p=0.001; and aOR=2.23, p=0.002, respectively). Lower RFD/M was associated with hyperlipidemia and diabetes mellitus (aOR=1.46, p=0.013 and aOR=1.63, p=0.045, respectively). A shorter stable time was associated with diabetes mellitus (aOR=0.39, p<0.001). Conclusions These findings suggest that lower limb function impairment, as assessed via standing-up movements using a GRF-measuring device, may relate to cardiovascular disease. Further research is needed to confirm this association.