Overweight Group Research Articles

Neck Circumference and Its Relation with Body Fat Percentage in Children 5-10 Years Old.

Neck circumference (NC) has been proposed as an indicator of upper trunk adiposity and a potential indicator of metabolic risk. The objective was to evaluate NC and its correlation with body fat percentage (BF%) and other indicators of adiposity in children with normal weight, overweight, and obesity. In a cross-sectional study, 112 children 5 to 10 years of age were included in the outpatient clinic from a public hospital. Measures of weight and height to calculate BMI (kg/m2), NC, mid-upper arm circumference, waist circumference, and tricipital skinfold thickness. Body composition measurements were performed using an electrical bioimpedance device (BIA). The relationship between anthropometric variables and BF% obtained by BIA was determined using Spearman correlation tests. Multivariate models were constructed with BF% as the dependent variable and anthropometric parameters as independent. In the entire group, there was a direct correlation between NC and BF% (r = 0.50, p < 0.001), but lost statistical significance in the case of normal weight. The relationship maintained its significance in subjects from the overweight and obesity groups. In multivariate models, BMI exhibited the highest correlation with BF%, followed by waist circumference and mid-upper arm circumference; for NC, the R2 value was 0.30 (p < 0.001). Neck circumference is useful in the screening of population groups with the advantage of not requiring any specialized instruments for its measurement other than a tape measure. BMI and waist circumference were the best indicators of general and central adiposity, respectively.

Changes in metabolic overweight phenotypes over time and risk of nephrolithiasis: a cohort study

BackgroundOverweight/obesity is considered an independent risk factor for nephrolithiasis, but little is known about its effect on nephrolithiasis according to metabolic health status.ObjectivesWe aimed to investigate the association between various metabolic overweight phenotypes and the occurrence of nephrolithiasis. It also explores whether changes in these phenotypes over time influence the risk of nephrolithiasis.Materials and methodsA total of 10,315 participants free of nephrolithiasis who underwent an annual health checkup from 2017 to 2022 were included in our prospective cohort study. They were categorized into four groups according to the presence of overweight and metabolic abnormalities (MA). The primary endpoint was the occurrence of renal stones. Multivariable Cox analysis was conducted to elucidate the relationship between metabolic overweight phenotypes and incident nephrolithiasis.ResultsDuring a median follow-up duration of 4.02 years, nephrolithiasis occurred in 1,468 (14.23%) participants. In the full cohort, we observed that the 5-year cumulative incidences of nephrolithiasis were highest in the metabolically healthy overweight (MHO) and metabolically abnormal overweight (MAO) groups. The hazard ratios (HRs) for nephrolithiasis, relative to metabolically healthy normal weight (MHNW), ranged from 1.19 (95% CI:1.03–1.37; MHO) to 1.32 (95% CI:1.15–1.51; MAO). Furthermore, individuals with persistent MHO throughout follow-up were at a 1.42-fold increased risk of nephrolithiasis (P < 0.001), and 32.17% of individuals experienced changes in phenotype during follow-up. Among MAO subjects, those who transitioned to MHO and MHNW had a 26% and 45% lower risk of incident nephrolithiasis, respectively, compared to those who persisted in the MAO phenotype.ConclusionIndividuals in the MHO and MAO groups exhibit an elevated risk of incident nephrolithiasis in this prospective cohort study. A significant proportion of nephrolithiasis cases may be potentially preventable through the appropriate management of metabolic risk factors for MAO subjects.

Different Eating Habits Are Observed in Overweight and Obese Children Than in Normal-Weight Peers.

Obesity is diagnosed in 13.6% of early primary school children in Poland. Its presence at this age increases the risk of obesity occurrence in adulthood. Therefore, it is important to properly shape eating behaviors at the stage of childhood and identify incorrect eating styles. This study aimed to investigate whether overweight and obese children differ significantly from children with normal body weights in terms of their eating styles. For the materials and methods, 43 mothers of overweight or obese children aged 3-10 years and 88 mothers of normal-weight children aged 3-10 years completed a questionnaire related to sociodemographic factors and the Children's Eating Behaviour Questionnaire. The overweight and obese children, compared with normal-weight children, scored higher on the food responsiveness (p = 0.009) and emotional overeating (p = 0.013) scales and lower on the satiety responsiveness (p = 0.025) and slowness in eating scales (p < 0.0001). No significant difference was found for other subscales between the studied groups. In the group of overweight and obese children, the child's age correlated negatively with enjoyment of food, as did the mother's BMI with slowness in eating. The results indicate the presence of significant differences in eating styles between normal-weight children and overweight or obese children. Identifying families at high risk of inappropriate eating behaviors and educating them appropriately can reduce the risk of children becoming overweight or obese.

The incidence of diabetes mellitus and its determining factors in a Kurdish population: insights from a cohort study in western Iran

Diabetes mellitus (DM) is among the most widespread non-communicable diseases and poses a substantial global health challenge. The aim of this study was to examine the incidence of DM and its nutritional, anthropometric, laboratory, demographic, and behavioral determinants, as well as comorbidities, within a Kurdish population residing in western Iran. This research was conducted in the Ravansar Non-Communicable Disease (RaNCD) cohort study, followed 9170 participants aged 35–65 years, for an average ± SD of 7.11 ± 1.26 years, from 2015 until 2023. A hierarchical Cox regression model was used to estimates the adjusted hazard ratios (HRs). The incidence of DM was 4.45 (95% CI 3.96, 4.99) per 1000 person-years. We found several significant predictors for DM incidence, including prediabetes, comorbidity, urban residence, total antioxidant capacity (TAC), and the interaction between gender and body mass index (BMI). Prediabetes emerged as the strongest predictor of DM incidence, with a hazard ratio of 10.13 (CI 7.84, 13.09). Additionally, having two diseases (HR = 2.18; 95% CI 1.44, 3.29) or three and more diseases (HR = 3.17; 95% CI 2.06, 4.90) increased the risk of developing DM. Also, the hazard ratios for the effects of gender on DM incidence in the normal, overweight, and obese BMI groups were 0.24, 0.81, and 1.01, respectively. The presence of prediabetes and obesity serve as the crucial indicators for the onset of DM, emphasizing the pressing need for interventions to prevent DM in these circumstances. Furthermore, there are notable disparities between urban and rural populations in this study, warranting further investigations to ascertain the underlying causes of such variations.

The Correlation between Body Mass Index and Intraocular pressure, Retinal Nerve Fiber Layer Thickness and Visual Field

Abstract Background Obesity has become a world-wide medical epidemic. it constitutes an important risk for several eye diseases like cataract, diabetic retinopathy, age related macular degeneration (AMD) and glaucoma.Body mass index (BMI) is one of the most specific and objective measurement to define obesity. Obesity has recently been reported to be negatively associated with visual acuity, but the ocular conditions underlying this association and the potential implications are unclear. Amongst different eye diseases, obesity has been associated with cataract, age-related maculopathy, diabetic retinopathy, and glaucoma. Purpose To investigate the relationship between BMI and IOP and correlate it with changes in RNFL thickness and visual field. Materials and Methods 60 participants divided into three groups (normal, overweight, and obese) according to BMI, were included in this Cross-Sectional Study (pilot study). Participants underwent a complete ophthalmologic assessment, measurement of RNFL thickness and ganglion cell complex (GCC) thickness using SD-OCT, IOP with Goldmann applanation tonometry (GAT) and visual field analysis using Humphrey field analyser. Results IOP was significantly higher in obese group than those in healthy weight and overweight group. Also, IOP was statistically significant higher in overweight group compared with those healthy weight group. There were no significant differences between the three groups in average, superior, inferior, nasal, and temporal RNFL thicknesses or in GCC thickness. Yet, GCC thickness in the obese group showed significant negative correlation with BMI.There were no significant differences between the three groups in MD, and VFI. Conclusion IOP was variable according to the degree of obesity with incremental pattern with advance of BMI. BMI of overweight group had no correlation with IOP, average, superior, inferior, nasal, and temporal RNFL thicknesses. While BMI of obese group showed a significant positive correlation with IOP and negative correlation with GCC thickness.

P-691 Effect of body mass index on early and late pregnancy loss in women with polycystic ovary syndrome undergoing in vitro fertilization and embryo transfer

Abstract Study question Are early and late pregnancy loss both affected by elevated body mass index (BMI) in women with polycystic ovary syndrome (PCOS) undergoing IVF-ET? Summary answer Late pregnancy loss but not early pregnancy loss was adversely affected by elevated BMI in women with PCOS undergoing IVF-ET. What is known already PCOS, the most common endocrine disorder in women of reproductive age, affects 5–18% of women. Obesity appears to be closely associated with PCOS. High BMI of the women with PCOS has been clearly associated with pregnancy loss. However, available data are limited for distinguishing between early and late pregnancy loss in PCOS women with different BMI and age. We performed a large cohort study of PCOS women conceived after IVF-ET to access the risk of early and late pregnancy loss. Study design, size, duration A retrospective cohort study of 3213 pregnancies after IVF-ET in women with PCOS from January 2015 to October 2022. Participants/materials, setting, methods The participants were the PCOS women with a positive human chorionic gonadotropin (hCG) after IVF-ET treatment in the reproductive centre of an university hospital. We studied early (≤12 weeks and biochemical pregnancy loss included) and late (&amp;gt;12 weeks) pregnancy loss in overweight group (BMI≥24 kg/m2) compared to normal group (BMI&amp;lt;24 kg/m2). Main results and the role of chance From 3213 PCOS women conceived after IVF-ET treatment, 1715 (53.4%) women were in overweight group and 1498 (46.6%) in normal group. Baseline characteristics age, primary infertility, pregnancy loss history, endometrial thickness, numbers and types of embryo transferred were not different between two groups. Overweight women had higher serum basal total testosterone and androstenedione levels. Early pregnancy loss (EPL) occurred in 24.2% (415) of overweight women with PCOS versus 21.6% (323) of those with normal weight (OR 1.16, 95% CI 0.98–1.37, P = 0.08). Rates of ELP were also comparable in both groups stratified by age. Overweight women had higher rates of late pregnancy loss (LPL) (6.6% in overweight group versus 3.3% in normal group, OR 2.11, 95% CI 1.50–3.00, P &amp;lt; 0.001). In subgroup analyses, young and advanced-age women with PCOS both had increased chances of LPL with elevated BMI. Logistic regression showed BMI was an independent risk factor of LPL considering age, androgen level, history of previous pregnancy loss, and infertility type. Limitations, reasons for caution Due to the retrospective study, records about gestation-related disease history and smoking were not complete and not shown. However, all patients with IVF-ET were asked to control gestation-related conditions suitable for pregnancy. Proportion of smoking was low and women who planned to conceive were advised to stop smoking before treatment. Wider implications of the findings This study enables physicians to counsel PCOS women undergoing IVF their risk of pregnancy loss more accurately based on personal characteristics. Trial registration number not applicable

Usefulness of bioelectrical impedance analysis in multiple sclerosis patients-the interrelationship to the body mass index.

Patients with multiple sclerosis (MS) have many potential factors (disease duration, spasticity, immobilization, or glucocorticoid use) that can deteriorate their nutritional status and impact both the progression and prognosis of the disease. Body mass index (BMI), the most widely used nutritional status assessment tool, has important limitations because it does not provide any data on body composition. This study aimed to assess the interrelationship between nutritional status assessment by both body mass index (BMI) and body composition using bioelectrical impedance analysis (BIA) and the consistency of diagnosis for underweight/underfat, normal weight/healthy, overweight/overfat, and obesity/obese MS patients. Anthropometric [BMI and waist-to-height ratio (WHtR)] and body composition (BIA) data were evaluated in 176 patients with MS. Patients were categorized into four nutritional status subgroups (underweight, normal weight, overweight, obese according to BMI, and underfat, healthy, overfat, and obese according to fat mass% by BIA). The median Expanded Disability Status Scale score was 4.5. Patients were then divided according to EDSS score as mild (EDSS 1.0-4.0) or moderate (EDSS 4.5-6.5) disability subgroups. Based on BIA assessment, there was a significantly higher prevalence of overfat than of overweight based on BMI [n = 50 (28.41%) vs. n = 38 (21.59%); p < 0.05]. However, the prevalence of obesity did not differ significantly regardless of the mode of diagnosis and was not significantly lower when assessed using BIA [n = 26 (14.77%) vs. n = 30 (17.05%), respectively]. The overall compatibility rates (CR) of diagnoses made using both BMI and BIA were 75.6, 77.0, and 70.1% for all patients with MS and the mild and moderate subgroups, respectively. The lowest CR was observed in the overweight group. Adiposity significantly underestimated BMI in all subgroups. In the moderate MS subgroup, BMI significantly overcategorized patients with MS as having a normal weight (p < 0.05). Stratification for abdominal obesity (WHtR > 0.5) showed that BMI significantly underestimated the prevalence of MS in overweight and obese vs. overfat and obese patients, as assessed using BIA (60.5 vs. 67%; p < 0.05). Clinical status (EDSS and ΔEDSS) was more closely related to the nutritional status categorized by FAT% assessed using BIA than using BMI cutoff points. However, the relationship was not statistically significant. Using the BMI cutoff point for nutritional status assessment in patients with MS is associated with a significant underestimation of excess fat mass. BIA-based FAT% based on BIA have a better relationship with abdominal obesity and disability status than with BMI in patients with MS. The highest rate of false-negative diagnoses was based on the BMI in patients with MS and moderate disability. Adiposity assessment using BIA appears to be a useful method for proper nutritional status assessment in the patients group.

Obesity in childhood: associations with parental neglect, nutritional habits, and obesity awareness.

The relationships underlying the dynamic between obesity and parental neglect in terms of nutritional habits and obesity awareness are unclear. Parental neglect remains a significant subject of concern that needs to be examined in the context of obesity. The aim was to examine the relationships between childhood obesity, parental neglect, children's eating habits and obesity. The study group consisted of 404 children and their parents from Ankara, Turkiye. As data collection tools, an Individual Information Form, Obesity Awareness Scale, the Parents Form of the Multidimensional Neglectful Behaviors Scale were administered. In addition, information on the children's body mass indexes was obtained by anthropometric measurements and the findings were recorded on the questionnaires of each child. It was found that 98 (24.3%) of the children included in the study were overweight and 63 (15.6%) were obese. The results of the multinomial logistic regression analysis indicated that in the underweight and overweight group, the parents' perception of their child's weight predicted body mass index in children, and in the obese group, along with the parents' perception of their child's weight, the age and gender of the child, eating fast, obesity in the family and parental neglect were also predictors. Practitioners such as nurses, dietitians and child developmentalists working in schools should consider weight problems in children as one of the indicators of parental neglect and should implement interventive efforts to enhance parental supervision of children at risk.

Optimal Weight-Based Dosing of Vancomycin to Achieve an Area Under the Curve of 400 to 600 Stratified by Body Mass Index

Background: In 2020, the American Society of Health System Pharmacist (ASHP) and Infectious Diseases Society of America (IDSA) published a consensus guideline for vancomycin management, recommending area under the curve (AUC) as the preferred monitoring strategy. These guidelines recommend doses of 15-20 mg/kg every 8 to 12 hours for most patients with normal renal function. However, in extreme body weights, standard dosing may deviate to provide a therapeutic AUC. The primary objective of this pharmacokinetic study is to evaluate the optimal vancomycin weight-based dosing strategy that achieves a therapeutic AUC of 400-600 stratified by body mass index (BMI). The secondary objective is to evaluate the incidence of acute kidney injury (AKI) based on BMI. Methods: Patients were identified from two sites within the Department of Veterans Affairs who received vancomycin for at least 48 hours and had at least one steady-state level from January 2015 through July 2022. Regimens with a frequency of ≤8 hours or patients with baseline creatine clearance of &lt; 5 0 ml/min were excluded. Patients were categorized based on the Center for Disease Control BMI groups: healthy weight, overweight, or obese. The online vancomycin calculator, VancoPK©, was utilized to calculate AUC. Renal function at baseline and during vancomycin therapy was collected. Descriptive statistics were used for data analysis. Continuous outcomes were summarized using mean and standard deviation. The primary and secondary endpoints were analyzed using the analysis of variance and Fisher’s exact tests, respectively. Statistical significance was established at a p-value of &lt; 0 .05. Results: A total of 347 unique vancomycin regimens were included: 120 in the healthy weight group, 101 in the overweight group, and 126 in the obese group. The average total daily doses that achieved a therapeutic AUC were 1971mg (15.6mg/kg/dose), 2298mg (15mg/kg/dose), and 2524mg (12.6mg/kg/dose) for the healthy weight, overweight, and obese groups, respectively. There was a statistically significant difference among these groups. AKI occurred in 10/254 (3.9%) unique patients: 2/89 (2.2%) in the healthy weight group, 3/71 (4.2%) in the overweight group, and 5/94 (5.3%) in the obese group. This did not reach statistical significance. Conclusions: Vancomycin dosing regimens largely followed guideline recommendations. However, the average vancomycin mg/kg/dose that achieved a therapeutic AUC decreased as BMI increased, which was a statistically significant trend. While further research is needed to draw clinically impactful conclusions, these findings suggest that a lower mg/kg vancomycin dose in obesity may be needed to achieve therapeutic targets.

دراسة دور الهيم اوكسجينيز-1 في المرضى الذين يعانون من السمنة

الهيم اوكسجينيز-1 هو عبارة إنزيم محفز يعمل على تكسر جزيئات الهيم إلى بيليفيردين، وحديدالحر، وبيليروبين، وأول أكسيد الكربون. تهدف هذه الدراسة إلى معرفة مستويات ودور (HO-1) في مرضى السمنة ضد الإجهاد التأكسدي وعلاقته بالسمنة. تضمنت الدراسة 139 عينة تضم (84بدناء و55 اشخاص غير بدناء). تم تقسيم كلا مجاميع الدراسة قسمت إلى أربع مجاميع بالاعتماد على مؤشر كتلة الجسم. تم جمع عينات الدم اشخاص بدناء ومجاميع صحية (رجال ونساء) في مستشفى اليرموك والمركز الصحي لأبحاث السكري في الفترة بين ديسمبر2022/ الى يونيو/2023. تم قياس بعض المتغيرات الكيميائية الحيوية لجميع مجموعات الدراسة، والتي تشمل: - تحديد مستويات HO-1 في المصل باستخدام تقنية ELISAو ملف الدهون والسكر الصائم FSG بالطريقة الانزيمية. حيث وجد أن مستويات مؤشر كتلة الجسم تزداد بشكل ملحوظ في مجموعة السمنة من النوع الثاني ومجموعة السمنة من النوع الأول ومجموعة الوزن الزائد مقارنة بمجاميع وزن الطبيعي. كما أظهرت النتائج زيادة معنوية (p≤ 0.05) في محيط الخصر الى الورك (WHR) في مجاميع السمنة من النوع الثاني والسمنة من النوع الأول ومجموعة الوزن الزائد مقارنة بمجوعة الوزن الطبيعي. كذلك أظهرت النتائج أن مستويات HO-1 عالية في مرضى السمنة من النوع الاول ومجموعة السمنة من النوع الثاني مقارنةً مع مجاميع الوزن الطبيعي الوزن الزائد. اظهر التحليل الاحصائي أن مستوى HO-1 ترتبط سلبيا مع مؤشر كتلة الجسم في مجموعة الوزن الطبيعي G1))، بينما إيجابية مع مجاميع السمنة من النوع الثاني والسمنة من النوع الأول والوزن الزائد. نستنتج من هذه الدراسة أن خط دفاع الجسم الأول ضد هجوم الإجهاد التأكسدي هو HO-1. هذا الإنزيم الواقي للخلايا يقلل من الإجهاد التأكسدي وهو حيوي للتحكم في تكون الدهون، وهو أمر حاسم لتطور أمراض التمثيل الغذائي ومضاعفاتها.

Exploring the Multifaceted Influences on Childhood Nutritional Status: A Study Conducted in South Punjab, Pakistan.

Introduction The double burden of malnutrition (DBM) in Pakistan is a rising concern affecting school-going children, marked by coexisting under- and over-nutrition within the same population. Key influences include shifts in dietary habits, socioeconomic status, and lifestyle changes due to rapid urbanization. With a focus on Multan, Pakistan, the study seeks to assess the proportion of underweight and overweight students while identifying the risk factors and sociodemographic characteristics associated with this incidence. The aim is to guide future health interventions addressing this multidimensional health challenge. Materials and methods This study, adopting a descriptive cross-sectional research design, collected data from female teenage students through interviews and anthropometric measurements. A total of 300 participants were randomly selected from a comprehensive school list representing diverse urban and rural settings. Participants' weight and height were measured to calculate their body mass index (BMI), categorizing them into underweight, normal weight, and overweight groups. The relevant risk factors were collected through an interview questionnaire. Collected data were analyzed using IBM SPSS Statistics for Windows, Version 26.0 (Released 2019; IBM Corp., Armonk, New York, United States), with the results stratified according to socioeconomic, dietary, and psychosocial factors and compared across different weight categories. Results The study collected data from 300 students, revealing a correlation between socioeconomic status, dietary habits, and BMI. Parental occupation significantly affected nutritional status, with children of laborers primarily falling within normal and underweight categories. Dietary habits like frequency of fast food and milk or dairy consumption showed notable associations with nutritional status. Psychosocial factors such as peer or teacher comments about weight and outdoor sports participation also influenced the students' nutritional status. However, factors like family income, video game hours, and the presence of pets at home did not show significant associations with nutritional status. Conclusions The study illustrates a multi-faceted association between socioeconomic status, dietary habits, and BMI among schoolchildren in Multan, Pakistan, emphasizing the need for comprehensive interventions.

Weight loss trends in Korean adolescents (2005-2021): Exploring the impact of measured and self-perceived weight status

ObjectiveThis study aims to assess the trends in the proportions of weight loss efforts among Korean adolescents aged 10–18 years from 2005 to 2021, examining variations based on weight status, to examine factors related to weight loss efforts by weight status, and to evaluate weight loss efforts based on the combination of measured and self-perceived weight status. MethodsComplex sample design analyses were conducted on a dataset comprising 10,760 adolescents, utilizing information from the Korea National Health and Nutrition Examination Survey, a nationally representative dataset. Participants were categorized into non-overweight and overweight groups using a BMI percentile threshold of 85. Results22–29 % of non-overweight adolescents and 54–77 % of adolescents with overweight engaged in weight loss efforts. Among adolescents who attempted to lose weight from 2005 to 2017, 39.5–57.1 % tried both of diet and exercise, 22.7–47.4 % tried exercise alone, and 10.2–26.7 % tried diet alone. Female gender, older age, and higher self-perceived weight status were associated with increased odds of weight loss efforts, irrespective of actual weight status. For adolescents perceiving themselves as obese, the odds of attempting weight loss were 8.32 for non-overweight boys, 2.02 for non-overweight girls, 15.28 for overweight boys, and 5.77 for overweight girls compared to controls who were non-overweight and perceived themselves as not obese. ConclusionWeight loss efforts among Korean adolescents aged 10 to 18 remained consistent irrespective of their actual weight over 16 years. Throughout this period, adolescents who perceived themselves as obese were more likely to attempt weight loss, independent of their true weight status. Hence, subjective weight perception plays a significant role in influencing weight loss behaviors among adolescents.

Normative Data for Modified Ferriman-Gallwey Score and the Prevalence of Hirsutism in Young South Indians.

The modified Ferriman-Gallwey score (mFGS) cut-offs to define hirsutism vary with ethnicity, whereas no such cut-offs are established for Indian women. Well-conducted studies that report the prevalence of hirsutism in Indian women are limited. Hence, this study was conducted to report the prevalence of hirsutism and population-specific cut-offs for mFGS in South-Indian women. In this cross-sectional, community-based study, adult women in reproductive age (18-40 years) were screened for hirsutism by two trained medical students. Hirsutism was assessed using the mFGS and case record file. A total of 453 women were included in the study [age: 22.15 ± 5.27 years; body mass index (BMI): 22.5 ± 3.58 kg/m2]. The median (IQR) mFGS was 1(0-3); only eight participants (1.8%) had mFGS ≥8, and all these eight women had at least another PCOS-related feature (irregular menstrual cycles and/or topical therapy-resistant acne). The median (IQR) mFGS in the PCOS phenotype group (n = 52), non-PCOS-phenotype group (n = 401), non-obese group (<25 kg/m2), non-PCOS-phenotype group (n = 322), obese group (≥ 25 kg/m2), non-PCOS-phenotype group (n = 79), overweight group (BMI: 23-25 kg/m2), non-PCOS-phenotype group (n = 74), normal BMI group (<23 kg/m2), and non-PCOS-phenotype group (n = 248) were 4 (1-6), 1 (0-2), 1 (0-2), 2 (1-3), 1 (0-2), and 1 (0-2), respectively. The 97.5th centile mFGS in all groups except the PCOS phenotype group and the obese and non-PCOS phenotype groups was 5. We propose a new mFGS cut-off of 5 in the South-Indian population for evaluation of hirsutism, and the prevalence rates of hirsutism in the South-Indian population were 1.8% and 9.9% using mFGS of ≥8 and ≥5 to define hirsutism, respectively.

Relation between Thyroid Function Tests and Body Mass Index among Thyroid Dysfunction Patients

Background: Obesity has the potential to impact thyroid function through various pathways, even in individuals considered euthyroid. The relationship between thyroid function and body mass index (BMI) remains a subject of ongoing debate. Therefore, the primary objective of this study was to ascertain the correlation existing among thyroid stimulating hormone (TSH), thyroid hormones, and BMI in patients experiencing thyroid dysfunction within the context of the Smart Health Tower. Methods: This cross-sectional study was conducted in Smart Health Tower in Sulaimani city from November 9, 2021, to March 1, 2022. One hundred and sixty-six patients with thyroid dysfunction (128 individuals had hypothyroidism, eight individuals had hyperthyroidism, and 30 individuals were the other type of thyroid dysfunction) were enrolled in this study. Their mean age was 43.62 ± 11.17 and 50.6% of the participation were male. Patients were divided into four groups based on BMI value: Underweight (BMI &lt;18.5 kg/m2), normal (BMI: 18.5–24.9 kg/m2), overweight (BMI: 25–29.9 kg/m2), and obese (BMI ≥30 kg/m2). Results: The highest rate of age group was between (30 and 40) years old (84%) of them were male. The participants with higher BMI had higher TSH and this trend continued from underweight to Obese. The mean TSH of the underweight group was 0.47 ± 0.61 mIU/L, the normal weight group 1.5 ± 1.91 mIU/L, the overweight group 2.8± 3.87 mIU/L and the obese group 2.7 ± 2.37 mIU/L. Conclusion: A significant relationship between serum TSH and BMI and mean TSH increased as BMI increased. Further large-scale data from the population are required to confirm these findings.

Weight Stigma and Eating Behaviors in Young Adults across Weight Status

Objectives: For this study, we adopted and expanded the Theory of Planned Behavior (TPB) by adding weight-related self-stigma (WSS) to explain avoidance in 3 eating behavior (EB) types – uncontrolled eating, emotional eating, and cognitive restraint – among overweight and obese persons and persons not overweight (underweight + normal weight). Methods: A total of 348 adults aged 18-30 years have participated in this study. Questionnaires were used to assess factors in TPB (viz, intention, attitude, subjective norm, and perceived behavioral control [PBC]) in relation to EB avoidance, WSS, and the 3 types of EB. In addition to structural equation modeling, path invariance was tested. Results: In general, WSS together with subjective norm and PBC were positively associated with intention to avoid EB; PBC to avoid EB was negatively associated with EB; however, intention to avoid EB and WSS were positively associated with EB. In addition, path invariance between the non-overweight and overweight groups was not supported. In the overweight group, WSS had a more significant impact on PBC. Conclusions: The extended TPB model successfully explained the intention to avoid EB and the negative effect caused by WSS. However, the intention-behavior gap emerged from our results. The underlying factors that prevent people from avoiding EB should be investigated further.

Effect of body mass index on progesterone level on trigger day in gonadotropin-releasing hormone antagonist cycles

Objective To investigate the effect of body mass index (BMI) on progesterone (P) level on trigger day in gonadotropin-releasing hormone antagonist (GnRH-ant) cycles. Methods This study was a retrospective cohort study. From October 2017 to April 2022, 412 in-vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) patients who were treated with GnRH-ant protocol for controlled ovarian hyperstimulation (COH) in the reproductive center of our hospital were selected as the research objects. Patients were divided into three groups according to BMI level: normal weight group (n = 230):18.5 kg/m2≤BMI < 24 kg/m2; overweight group (n = 122): 24 kg/m2≤BMI < 28 kg/m2; Obesity group (n = 60): BMI ≥ 28 kg/m2. Variables with p < .10 in univariate analysis (BMI, basal FSH, basal P, FSH days, Gn starting dose and E2 level on trigger day) and variables that may affect P level on trigger day (infertility factors, basal LH, total FSH, HMG days and total HMG) were included in the multivariate logistic regression model to analyze the effect of BMI on P level on trigger day of GnRH-ant protocol. Results After adjustment for confounding factors, compared with that in normal weight patients, the risk of serum P elevation on trigger day was significantly lower in overweight and obese patients (OR = 0.434 and 0.199, respectively, p < .05). Conclusion The risk of P elevation on trigger day in GnRH-ant cycles decreased with the increase of BMI, and BMI could be used as one of the predictors of P level on trigger day in GnRH-ant cycles.

Nonlinear association between atherogenic index of plasma and type 2 diabetes mellitus in overweight and obesity patients: evidence from Chinese medical examination data

BackgroundThe atherogenic index of plasma (AIP) is closely associated with the onset of diabetes, with obesity being a significant risk factor for type 2 diabetes mellitus (T2DM). However, the association between the AIP and T2DM in overweight and obese populations has been infrequently studied. Therefore, this study aimed to explore this association in overweight and obese individuals with T2DM.MethodsThis cross-sectional analysis utilized data from 40,633 participants with a body mass index (BMI) ≥ 24 kg/m2 who were screened from January 2018 to December 2023 at Henan Provincial People’s Hospital. Participants were categorized into groups of overweight and obese individuals with and without diabetes according to the T2DM criteria. The AIP, our dependent variable, was calculated using the formula log10 [(TG mol/L)/HDL-C (mol/L)]. We investigated the association between the AIP and T2DM in overweight and obese individuals using multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and threshold effect analysis. Additionally, mediation analysis evaluated the role of inflammatory cells in AIP-related T2DM.ResultsOverweight and obese patients with T2DM exhibited higher AIP levels than those without diabetes. After adjusting for confounders, our results indicated a significant association between the AIP and the risk of T2DM in overweight and obese individuals (odds ratio (OR) = 5.17, 95% confidence interval (CI) 4.69–5.69). Notably, participants with a high baseline AIP (Q4 group) had a significantly greater risk of T2DM than those in the Q1 group, with an OR of 3.18 (95% CI 2.94–3.45). Subgroup analysis revealed that the association between the AIP and T2DM decreased with increasing age (interaction P < 0.001). In overweight and obese populations, the association between AIP and T2DM risk displayed a J-shaped nonlinear pattern, with AIP > – 0.07 indicating a significant increase in T2DM risk. Various inflammatory cells, including neutrophils, leukocytes, and monocytes, mediated 4.66%, 4.16%, and 1.93% of the associations, respectively.ConclusionIn overweight and obese individuals, the AIP was independently associated with T2DM, exhibiting a nonlinear association. Additionally, the association between the AIP and T2DM decreased with advancing age. Multiple types of inflammatory cells mediate this association.

In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity: Insights from national inpatient sample 2020.

Non-alcoholic fatty liver disease (NAFLD) increases the risk of cardiovascular diseases independently of other risk factors. However, data on its effect on cardiovascular outcomes in coronavirus disease 2019 (COVID-19) hospitalizations with varied obesity levels is scarce. Clinical management and patient care depend on understanding COVID-19 admission results in NAFLD patients with varying obesity levels. To study the in-hospital outcomes in COVID-19 patients with NAFLD by severity of obesity. COVID-19 hospitalizations with NAFLD were identified using International Classification of Disease -10 CM codes in the 2020 National Inpatient Sample database. Overweight and Obesity Classes I, II, and III (body mass index 30-40) were compared. Major adverse cardiac and cerebrovascular events (MACCE) (all-cause mortality, acute myocardial infarction, cardiac arrest, and stroke) were compared between groups. Multivariable regression analyses adjusted for sociodemographic, hospitalization features, and comorbidities. Our analysis comprised 13260 hospitalizations, 7.3% of which were overweight, 24.3% Class I, 24.1% Class II, and 44.3% Class III. Class III obesity includes younger patients, blacks, females, diabetics, and hypertensive patients. On multivariable logistic analysis, Class III obese patients had higher risks of MACCE, inpatient mortality, and respiratory failure than Class I obese patients. Class II obesity showed increased risks of MACCE, inpatient mortality, and respiratory failure than Class I, but not significantly. All obesity classes had non-significant risks of MACCE, inpatient mortality, and respiratory failure compared to the overweight group. Class III obese NAFLD COVID-19 patients had a greater risk of adverse outcomes than class I. Using the overweight group as the reference, unfavorable outcomes were not significantly different. Morbid obesity had a greater risk of MACCE regardless of the referent group (overweight or Class I obese) compared to overweight NAFLD patients admitted with COVID-19.

CLINICAL, DIETARY, AND REDOX PROFILE IN A SAMPLE OF INDIVIDUALS FROM SINOP/MT

Clinical and experimental evidence show that there is a relationship between obesity, dietary profile, and redox status. This study aimed to assess the clinical and dietary profile, and redox status of a sample of individuals from Sinop/MT. Thus, we designed a descriptive cross-sectional study involving a convenience sample of Brazilian adult participants of both genders. The study was conducted at a Basic Health Unit in the city of Sinop/MT. Participants were divided according to the body mass index (BMI) into eutrophic (n=5) and overweight (n=12) groups. Clinical parameters, metabolic and inflammatory indicators in the blood, redox status markers and food intake were analyzed. Seventy percent of participants were overweight and 82% presented an elevated waist circumference. Regarding metabolic data, there was a trend of increased fasting glucose and triglycerides levels and decreased HDL levels as body weight increases, with a positive correlation between these variables. It was not possible to demonstrate difference for redox status markers, and there was no significant linear correlation between BMI and these markers. The overweight group reported a lower industrialized beverages and sweets intake, but there was no difference to the other food variables. We conclude that most individuals were overweight, which was associated to comorbidities, regardless dietary intake, but age being an associated factor. Furthermore, overweight did not modulate redox status.

Obesity and Risk of Incident Left Ventricular Hypertrophy in Community-Dwelling Populations With Hypertension: An Observational Study.

The aim of this study was to evaluate the association between obesity and risk of incident left ventricular hypertrophy (LVH) in community-dwelling populations with hypertension and investigate whether this association would be attenuated by a lower achieved systolic blood pressure (SBP). We used the EMINCA (Echocardiographic Measurements in Normal Chinese Adults) criteria, which were derived from healthy Chinese populations to define LVH. A total of 2069 participants with hypertension and without LVH (obesity 20.4%) were included. The association between obesity and risk of incident LVH was evaluated using Cox proportional hazard models and stratified by achieved follow-up SBP levels (≥140, 130-139, and <130 mm Hg). These analyses were also assessed using the American Society of Echocardiography/European Association of Cardiovascular Imaging criteria, which were derived from European populations to define LVH. After a median follow-up of 2.90 years, the rates of incident LVH in the normal-weight, overweight, and obese groups were 13.5%, 20.3%, and 27.8%, respectively (P<0.001). In reference to normal weight, obesity was associated with increased risk of incident LVH (adjusted hazard ratio [aHR], 2.51 [95% CI, 1.91-3.29]), which was attenuated when achieved SBP was <130 mm Hg (aHR, 1.78 [95% CI, 0.99-3.19]). This association remained significant when achieved SBP was ≥140 mm Hg (aHR, 3.45 [95% CI, 2.13-5.58]) or at 130 to 139 mm Hg (aHR, 2.32 [95% CI, 1.23-4.36]). Differences in these findings were noted when LVH was defined by the American Society of Echocardiography/European Association of Cardiovascular Imaging criteria. Obesity was associated with incident LVH and an SBP target <130 mm Hg might be needed to attenuate this risk in patients with hypertension and obesity.