Between Body Mass Index Levels Research Articles

Body mass index and all-cause mortality in HUNT and UK biobank studies: revised non-linear Mendelian randomisation analyses

ObjectivesTo estimate the shape of the causal relationship between body mass index (BMI) and mortality risk in a Mendelian randomisation framework.DesignMendelian randomisation analyses of two prospective population-based cohorts.SettingIndividuals of European...

Correlation between body mass index and haemoglobin level of adolescent girls in a stunting locus area at Tangerang, Indonesia

Introduction: In Indonesia, anaemia is known to be extremely common in female adolescents. In addition, the problem of overweight/obesity in teenagers is becoming more prevalent, even in stunting locus areas. This study aimed to examine the correlation between body mass index (BMI) and haemoglobin levels among adolescent girls in Tangerang’s stunting locus area. Methods: This crosssectional study included 171 adolescent girls attending four junior and senior high schools in Tangerang’s stunting locus area. Adolescents who matched the inclusion criteria— healthy, having lived in Sukamantri for more than six months, and willing to participate were chosen by a multistage cluster sampling procedure. Body weight and fat were measured, and Z-score for BMI-for-age was determined. Haemoglobin levels were measured by the Mission Hb Testing System. Multiple linear regression test was applied for the analysis. Results: The prevalences of thinness/severe thinness, normal, and overweight/obesity were 5.3%, 70.8%, and 23.9%, respectively. There were 20% of anaemic girls. Among anaemic girls, there were 26% overweight/obese and no thin/very thin girls. A weak, negative correlation between BMI with haemoglobin levels was observed (R2=0.054, p<0.001). Conclusion: The correlation between BMI and haemoglobin level was weak in our sample of adolescent girls in the stunting locus area. The current study emphasised the importance of additional research that includes several haematological and inflammatory biomarkers to better understand the complex relationship between nutritional status and haemoglobin level.

Relationship Between Body Mass Index and Blood Lipids with Kidney Stone Disease: The Fasa Adults Cohort Study

Background: Urinary stones rank as the third most common disease of the genitourinary system, following urinary tract infections and prostate diseases. Their incidence is influenced by various demographic, environmental, and genetic factors. Objectives: This study aimed to explore the association between Body Mass Index (BMI), blood lipids, and kidney stones. Methods: This cross-sectional study utilized the baseline data of 10 133 participants aged 35 - 70 years from the Fasa cohort study. The dataset included demographic information, biochemical laboratory results, anthropometric measurements, behavioral data, and the presence or absence of kidney stones. Data analysis employed t-tests, chi-square tests, and logistic regression models. Results: Among the 10 133 participants, 54.9% were women, with a mean age of 48.63 ± 9.57 years. The prevalence of kidney stones was 17.3%. The findings indicated a correlation between BMI and triglyceride levels (TG) with kidney stones. Elevated BMI and triglyceride levels were associated with increased odds of developing kidney stones, with odds ratios of 1.048 (95% CI: 1.025 - 1.048) and 1.006 (95% CI: 1.001 - 1.006), respectively. Conclusions: The study revealed a significant relationship between BMI, triglyceride levels, and kidney stones. Individuals with kidney stones exhibited higher mean BMI and TG levels compared to those without. These findings from the Fasa PERSIAN (Prospective Epidemiological Research Studies in Iran) cohort suggest that kidney stone disease is linked to elevated triglyceride levels and BMI. Given that a high-fat diet contributes to increased BMI and elevated serum triglyceride levels, measures to reduce weight, combat obesity, and manage triglyceride levels are warranted to mitigate the risk of kidney stone formation.

Individual and school correlates of body mass index and cardiorespiratory fitness in primary school children from the REACT project: A multivariate multilevel analysis.

This paper examines the relationship between body mass index (BMI) and cardiorespiratory fitness (CRF) using a multivariate multilevel approach and investigates the links between individual and school-related correlates with children's BMI and CRF. This cross-sectional sample included 1014 children (6-10 years) from 25 Portuguese primary schools. BMI was calculated, and CRF was assessed with the PACER test. Fundamental movement skills (FMS) included five object control tasks. Moderate-to-vigorous physical activity (MVPA), sleep, and sedentary time were assessed with the ActiGraph wGT3X-BT accelerometer. Socioeconomic status (SES) and school variables were also obtained. A multivariate multilevel model was used, and alpha was set at 5%. BMI and CRF systematically increased with age. Most of the joint variance (94.4%) was explained at the child level, and BMI and CRF were correlated at this level (ρ = -.37). More active children demonstrated higher CRF levels and had lower BMI levels; sedentary and sleep time were not significantly associated with BMI or CRF. FMS were positively associated with CRF but were not significantly associated with BMI. Children at higher SES were more fit and had lower BMI than their peers of lower SES. Finally, school-level variables were not significantly related to BMI and CRF. BMI and CRF had a low but statistically significant negative correlation in this sample of children. Most of the variation in BMI and CRF was explained by child-level characteristics.

Nonlinear relationship between body mass index and serum uric acid: An observational and Mendelian randomization study among Chinese adults

Background and aimsConflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA), and importantly, the causal role of BMI in SUA remains unclear. We aimed to evaluate the BMI-SUA relationship and its causality among Chinese adults using observational and Mendelian randomization (MR) analyses. Methods and resultsStudy included 6641 adults from East China. A genetic risk score based on 14 BMI-associated East Asian variants was formulated. One-sample MR and non-linear MR analyses assessed the causal link between BMI_GRS and SUA levels. Mean BMI levels were 24.8 (SD 3.4) and 24.3 (SD 3.6) kg/m2 in men and women, respectively. Spline models revealed gender-specific BMI-SUA associations: a reverse J-shape for men and a J-shape for women (P-values for nonlinearity <0.05). In men, BMI showed a positive correlation with SUA levels when BMI was below 29.6 kg/m2 (beta coefficient 19.1 [95 % CI 15.1, 23.0] μmol/L per 1-SD increase in BMI), while in women, BMI exhibited a negative correlation with SUA levels when the BMI was less than 21.7 kg/m2 (beta coefficient −12.9 [95 % CI -21.6, −4.1] μmol/L) and a positive correlation when BMI exceeded 21.7 kg/m2 (beta coefficient 13.3 [95 % CI 10.9, 15.8] μmol/L). Furthermore, MR analysis suggested non-linear BMI-SUA link in women but not men. ConclusionOur study indicates a non-linear correlation between BMI and SUA in both genders. It is noteworthy that in women, this correlation may have a causal nature. Nevertheless, further longitudinal investigations are required to authenticate our findings.

Total Antioxidant Capacity, Lipid Peroxidation, and Erythrocyte Antioxidant Enzyme Activities in Subjects with Obesity: A Case-Control Study

Introduction: Considering that the prevalence of obesity has increased dramatically in recent years, one of the key targets of public health is obesity and its associated pathological conditions. Recent evidence suggests that oxidative stress (OS) may be the mechanistic link between obesity and the development of metabolic and vascular diseases related to obesity. In this study, it was hypothesized that obesity would be associated with lipid peroxidation (LP) and antioxidant enzyme activities in erythrocytes. Methods: In this case-control study, 80 subjects with obesity and 80 age- and gender-matched subjects with normal weight were selected from the health centers affiliated with Zabol University of Medical Sciences, Iran. General information was gathered from each participant using questionnaires. Serum malondialdehyde (MDA) and total antioxidant capacity (TAC), as well as, superoxide dismutase (SOD), glutathione peroxidase (GPX), and catalase (CAT) activities underwent assessment. Results: The study sample consisted of 160 obese adults (42.5% males and 57.5% females, with a mean age of 41.0±7.6 years). Serum MDA levels (P=0.016) and erythrocyte SOD activity (P=0.013) were significantly higher in subjects with obesity compared to non-obese controls. Moreover, subjects with obesity had significantly lower serum TAC (P=0.008) in comparison to the controls. There were no significant differences in erythrocyte GPX and CAT activities between subjects with obesity and non-obese controls. Significant positive correlations were observed between body mass index (BMI) and serum MDA levels (r=-0.461, P&lt;0.001) and erythrocyte SOD activity (r=-0.442, P=0.002). Furthermore, a significant inverse correlation was found between BMI and serum TAC levels (r=-0.426, P=0.008). Conclusion: The present findings provide further evidence suggesting that obesity leads to substantial LP and OS, which, in turn, may contribute to the development of obesity-related diseases.

Assessing body mass index stages, individual diabetes and hypertension history effects on the risk of developing hypertension among Ghanaians: A cross-sectional study.

This study aimed to understand the relationship between body mass index (BMI),diabetes and hypertension history, and other risk of hypertension among Ghanaians. The BMI data are categorized according to the World Health Organization (WHO) definition. The data were obtained from the WHO Study on global AGEing and adult health (WHO SAGE) Ghana Wave 2. Descriptive statistics were used to summarize the variables, and the association between these variables and hypertension was assessed using the χ². Multivariable logistic regression was used to examine the relationship between hypertension and different BMI levels and other variables. Obesity class II individuals have about a 4-fold higher risk of developing hypertension compared to underweight individuals. Obesity class III, class I, and preobesity individuals have approximately a 3-fold higher risk. Normal weight is associated with increased hypertension risk. Both males and females show a significant increase in hypertension risk across all BMI categories. History of hypertension is linked to a 2.2-fold increased risk. Diabetes history is associated with hypertension when considering other factors. Elevated hypertension risk is observed among married, divorced, and widowed males then never married males. Only widowed females showed an increased risk. Older age significantly increases hypertension risk, particularly in females. Vegetable servings reduce hypertension risk, while fruit servings are associated with an increased risk. Vigorous exercise increases hypertension risk, particularly in females. Regular check-ups are recommended for married, divorced, and widowed males, focusing on blood pressure (BP) levels. Regular exercise from young age helps lower BP in later years. Individuals with a history of hypertension should follow BP control measures. Encouraging the consumption of the right combination of vegetables and fruits can help lower BP. Female tobacco smoking should be strongly discouraged due to a 54% increased risk of developing hypertension.

Relationships among body weight, lipids and bone mass in elderly individuals with fractures: A case-control study.

The prevalence of osteoporosis and low bone mass is steadily rising each year. Low body weight is commonly linked to diminished bone mass and serves as a robust predictor of osteoporosis. Nonetheless, the connection between body mass index (BMI), bone mineral density, and lipid profiles among the elderly remains elusive. To examine the association between BMI and bone mass, explore the correlation between lipid profiles and bone mass, and delve into the interplay between lipid metabolism and bone health. The study included 520 patients aged ≥ 65 years (178 men and 342 women). Age, sex, weight, and height were recorded. Femoral neck bone mineral density and T scores were determined using a dual-energy X-ray absorptiometry scanner. Blood calcium (Ca), phosphorus (P), albumin (ALB), alkaline phosphatase (ALP), aspartate aminotransferase, alanine aminotransferase, triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels were measured. Patients were classified by sex (male and female), age (65-79 years and ≥ 80 years), and T score (normal bone mineral density, osteopenia and osteoporosis). Age, sex, BMI, and ALP and TG levels were independent risk factors for osteoporosis. For the 65-79- and ≥ 80-year-old groups, females presented lower T scores than males. Ca, P, ALB, ALP, TC, HDL and LDL levels were significantly different between men and women in the 65-79-year-old group. In addition, BMI and TG levels were significantly decreased in osteoporotic patients compared with patients with normal bone mass. TC levels declined in 65- to 79-year-old male and female osteoporosis patients. In the group of women aged ≥ 80 years, osteoporotic patients showed significantly increased ALP levels. Furthermore, we found positive correlations between BMI and TG levels in the male and female patient groups. However, we found no significant differences in ALB, Ca, P, HDL and LDL levels in osteoporotic patients compared to patients with normal bone mass. Osteoporotic patients showed significantly decreased BMI and TG levels compared with those with normal bone mass. BMI showed positive correlations with TG levels in male and female patients. These results indicate correlations between BMI and bone mass and between lipid profiles and bone mass.

BMI and plasma lipid levels with risk of proliferative diabetic retinopathy: a univariable and multivariable Mendelian randomization study.

The study aimed to determine whether a causal effect exists between body mass index (BMI) or plasma lipid levels and proliferative diabetic retinopathy (PDR) risk in humans. We utilized univariable (UVMR) and multivariable two-sample Mendelian randomization (MVMR) analyses to confirm the effects of BMI and plasma lipid levels on the risk of PDR. Genetic variants associated with BMI and three plasma lipids were obtained from GWAS summary datasets generated by many different consortia and were deposited in the MR-Base database. The GWAS summary data for PDR from the FinnGen biobank included 2,12,889 participants of European ancestry (8,681 cases and 2,04,208 controls). Inverse variance weighted (IVW) was applied as the main MR analysis. Sensitivity analysis was used to evaluate the robustness of our findings. In the UVMR analysis, the causal associations of genetically predicted BMI with PDR presented a positive association (OR = 1.120, 95% CI = 1.076-1.167, P < 0.001), and the lower HDL-C level was associated with a higher risk of PDR (OR = 0.898, 95% CI = 0.811-0.995, P = 0.040). No evidence of an association between LDL-C or TG levels (P > 0.05) and PDR risk was found. In the MVMR analysis controlling for the HDL-C level, there was strong evidence for a direct causal effect of BMI on the risk of PDR (OR = 1.106, 95%CI = 1.049, 1.166, P < 0.001, IVW). After adjusting for BMI, there was no evidence for a direct causal effect of the HDL-C level on the risk of PDR (OR = 0.911, 95% CI = 0.823, 1.008, P = 0.072). Sensitivity analyses confirmed that the results were reliable and stable. Robust evidence was demonstrated for an independent, causal effect of BMI in increasing the risk of PDR. Further studies are required to understand the potential biological mechanisms underlying this causal relationship.

Relationship between body mass index and mortality of burns patients: A systematic review and meta-analysis.

This systematic review and meta-analysis aimed to evaluate the relationship between body mass index (BMI) and mortality of burn patients. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as "Body mass index", "Burns" and "Mortality" from the earliest to the April 1, 2023. The quality of the studies included in this systematic review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool). Finally, six articles were included in this systematic review and meta-analysis. A total of 16 154 burn patients participated in six studies. Their mean age was 46.32 (SD = 1.99). Of the participants, 71.7% were males. The mean length of hospitalization was 18.80 (SD = 8.08) days, and the average TBSA in burn patients was 38.32 (SD = 2.79) %. Also, the average BMI in burn patients was 27.10 (SD = 1.75). Results found mortality in patients with abnormal BMI (overweight to morbidity BMI) was 0.19 more than normal BMI (ES: 1.19, 95%CI: 0.76-1.87, Z = 0.75, I2 : 71.8%, p = 0.45). Results of linear dose-response showed each 5 kg/m2 increase in BMI was associated with a 5% increase in mortality that was marginally significant (ES: 1.05, 95%CI: 1.00-1.11, Z = 1.99, I2 : 22.2%, p = 0.047). There was a non-linear relationship between levels of BMI and mortality (Prob > χ2 = 0.02). There was an increase in mortality from percentile 10 to 50, although it was not significant (Correlational coefficient: 0.01, p = 0.85). Also, there was an increase in mortality rate from percentile 50 to 90 that was statistically significant (correlational coefficient: 0.06, p = 0.047). Finally, the results of the study indicated BMI can increase the chance of mortality by 0.19, although it was not significant. As a result, more studies are needed to better judge the relationship between BMI and mortality in burn victims.

Is Obesity a Risk Factor for Iron Deficiency and Anemia? A Pilot Study

Abstract Background The populations suffer from increasing over consumption of food, but continue to have high rates of micronutrient deficiencies. Adipose tissue of obese persons produces increased amount of pro-inflammatory cytokines contributing to the development of a low-grade systemic inflammation in these persons. Objectives To determine the relation between body mass index (BMI) and hemoglobin (Hg) level, serum iron, total iron binding capacity (TIBC) and C reactive protein (CRP). Methodology The study was carried out on 60 women attending the outpatient clinics of the National Nutrition Institute (Egypt). Participants were divided into two groups; 30 obese women (case group) and 30 normal weight women (control group). Diagnosis of obesity was based on BMI &amp;gt;30. Anemia was diagnosed according to Hg level, serum iron and TIBC. Results The mean Hb level of participant women was 11 gm/dl (SD 1.21) and ranged between 8.7 and 13.8 gm/dl. Hb levels showed no significant difference between obese and normal weight women. Serum iron was higher in normal weight women compared with obese women (P &amp;lt; 0.05). No significant correlation was observed between BMI and Hb levels. BMI had a significant negative correlation with serum iron. BMI has significant positive correlations with TIBC and CRP. Linear regression analysis showed a significant association between Hb levels and waist hip ratio. Conclusions High BMI affected negatively levels of serum iron and is associated with inflammatory process as indicated by higher levels of CRP. High waist hip ratio is an important risk factor for anemia.

Body mass index modifies the relationship between dietary iron intake and depressive symptoms among adults: A national population-based cohort

BackgroundResearch on the effects of dietary iron intake on depression is limited and controversial. The aim of this study was to explore the association between iron intake and the prevalence of depressive symptoms. MethodsThe present study used cross-sectional data from people who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016. Logistic regression models and restricted cubic spline models were applied to investigate the relationship between iron intake and depressive symptoms. ResultsA total of 16,098 adults aged 20 years or older were included in this study. Compared with individuals with lowest iron intake Q1 (≤8.31 mg/day), the adjusted OR values for dietary iron intake and depression in Q2 (8.32–11.47 mg/day), Q3 (11.48–15.02 mg/day), Q4 (15.03–20.28 mg/day), and Q5 (≥20.29 mg/day) were 0.69 (95 % CI: 0.52–0.91), 0.68 (95 % CI: 0.50–0.94,), 0.59 (95 % CI: 0.42–0.82,), and 0.63 (95 % CI: 0.40–0.98), respectively. The relationship between iron intake and depressive symptoms exhibited a non-linear. Our findings suggested an interaction between body mass index (BMI) and iron intake (P = 0.03). Additionally, the relationship between dietary iron intake and depressive symptoms in adults with a BMI <25 kg/m2 was U-shaped. And the OR of developing depressive symptoms was 0.93 (95 % CI: 0.87–0.99) in individuals with iron intake ≤19.72 mg/day. LimitationsCross-sectional study and relevant data was based on self-reports. ConclusionA higher iron intake is significantly associated with a decreased prevalence of depressive symptoms, and different levels of BMI can modify the association between them.

Evaluating the Inter Relationship between Obesity and Diabetes Mellitus Type 2: A Clinical Pilot Study

Purpose: This study aims to investigate the effect of anthropometric parameters and clinical indexes on a sample of diabetic patients. Material and Methods: 440 patients with Type 2 diabetes (T2D), with an average age of 49.9 years, who were selected from a sample of 2.500 cases. Entry criteria for the group were the long-term follow-up period of patients and the repeatability of lab tests. Results: A strong effect was observed between Body Mass Index (BMI) and hyperglycemia. The frequency of T2D occurrence, was higher in overweight patients (&gt;25 kg/m²) than in those with normal weight (&lt;25 kg/m²). The mean BMI of newly diagnosed diabetic patients was 30.2 Kg/m². There was found a dependence between BMI and sex with the occurrence of cholelithiasis-cholecystitis, with a higher incidence in the class of obese and women. People with normal weight were found to have T2D at a younger age than the other BMI classes that did not differ from each other. Women show higher glucose concentrations than men with normal body weight. At the same BMI class, blood glucose is higher in women than in overweight class. In men no change in glucose was observed at the different BMI classes. The transition of hemoglobin (HbA1c) from step 2 (&gt;7%) to step 1 (&lt;7%) causes a triglyceride concentration reduction of 14.5%. BMI was recorded as the third factor correlated with hyperglycemia, after predisposition and hyperlipidemia and before diastolic blood pressure and age. Conclusions: At the ascertainment of the newly diagnosed T2D, the presence or not of obesity, determined of BMI, does not affect blood glucose levels in men. In women the normal BMI levels are not deterrent factors of high glucose values, nor age, regardless of gender. BMI is classified as third correlation factor of highglucose values in newly diagnosed diabetics.

Body Mass Index and Physical Fitness among Chinese Adolescents Aged 15-18: A Cross-Sectional Study of Gender Differences.

The aim of this study is to examine the relationship between varying levels of obesity and physical fitness test scores among Chinese adolescents, while also investigating gender differences in physical fitness and overall health. Data on height, weight, 50 m sprints, 1000/800 m runs, standing long jumps, sit and reach exercises, pull-ups/bent-leg sit-ups, and additional variables were collected from the DYH health database. Physical fitness indicators were evaluated based on the revised 2014 National Physical Fitness Standards for Students, and scores were assigned accordingly. An ordinal logistic regression (ologit) model was employed to analyze the relationship between body mass index (BMI) and physical fitness. (1) Normal-weight boys achieved significantly higher physical fitness test scores than boys in other weight categories. (2) Underweight and normal-weight girls obtained significantly higher physical fitness test scores compared to overweight and obese girls, with underweight girls scoring slightly higher than those with a normal weight. (1) There is a significant non-linear relationship between BMI levels and physical fitness test scores. (2) Gender differences were observed in physical fitness and overall health outcome. (3) The findings indicate an inverted U-shaped association between BMI and physical fitness among boys, while girls displayed an inverse relationship. This could be attributed to the cultural association between thinness and beauty among girls in China.

Body mass index and risk of all-cause mortality among elderly Chinese: An empirical cohort study based on CLHLS data

The aim of our study was to evaluate the relationship between body mass index (BMI) and all-cause mortality among elderly Chinese. The subjects of our study were a cohort of 13 319 elderly Chinese enrolled between 2008 and 2018. Participants were classified in three groups: underweight (<18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight and obese (≥25 kg/m2) according to different BMI levels. Cox proportional-hazards regression model was used to analyze the association between BMI grouping and the risk of mortality among the three groups and each corresponding subgroup. The restricted cubic spline regression was performed to investigate the variation tendency of BMI and mortality in different groups and subgroups. We found that the hazard ratios (HRs) of mortality in the underweight and the normal-weight groups were 1.213 and 1.104, respectively, compared with those in the overweight and obesity groups. HR for mortality decreased as BMI increased, although this phenomenon was not observed as not a linear relationship in all participants. Nonetheless, this nonlinear relationship was significant in type 2 diabetes patients. Among subjects with non-type 2 diabetes, the shape of the negative curve, reflecting the HR for BMI and mortality, decreased when BMI increased. Our findings suggest that an obesity paradox exists in non-type 2 diabetes patients, in which BMI has a nonlinear negative relationship with mortality. Conversely, in type 2 diabetes patients there is a U-shaped association. Obesity may thus be protective for all-cause mortality among non-diabetic older populations.

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population.

Existing studies on the association between BMI and depression report conflicting results with some demonstrating a positive relationship, while others a negative link or insignificant correlation. Very limited research on the nonlinear relationship between BMI and depression has yet to clarify the reliability and robustness of the potential nonlinearity and whether a more complex association exists. This paper aims to systematically investigate the nonlinear relationship between the two factors applying rigorous statistical methods, as well as explore the heterogeneity of their association. A large-scale nationally representative dataset, Chinese General Social Survey, is used to empirically analyze the nonlinear relationship between BMI and perceived depression. Various statistical tests are employed to check the robustness of the nonlinearity. Results indicate that there is a U-shaped relationship between BMI and perceived depression, with the turning point (25.718) very close to while slightly larger than the upper limit of the range of healthy weight (18.500 ≤ BMI < 25.000) defined by World Health Organization. Both very high and low BMIs are associated with increased risk for depressive disorders. Furthermore, perceived depression is higher at almost all BMI levels among individuals who are older, female, lower educated, unmarried, in rural areas, belonging to ethnic minorities, non-Communist Party of China members, as well as those with lower income and uncovered by social security. In addition, these subgroups have smaller inflection points and their self-rated depression is more sensitive to BMI. This paper confirms a significant U-shaped trend in the association between BMI and depression. Therefore, it is important to account for the variations in this relationship across different BMI categories when using BMI to predict depression risk. Besides, this study clarifies the management goals for achieving an appropriate BMI from a mental health perspective and identifies vulnerable subgroups at higher risk of depression.

The relationship between women's body mass index and breast cancer outcomes was U-shaped.

Several studies have analyzed the relationship between body mass index (BMI) and the prognosis of breast cancer (BC). However, whether their relationship is linear or curvilinear remains unclear. This cohort study examined the specific relationship between BMI and BC outcomes. This retrospective cohort study included 1049 BC patients from March 7, 2013 through December 31, 2019 in a hospital. Kaplan-Meier curves, multivariate Cox proportional models, and restricted cubic spline (RCS) was used to analysis the relationship between BMI and overall survival (OS) and breast cancer-specific survival (BCSS) was analyzed. During a median of 4.87 (IQR:3.26-6.84) years of follow-up period, 71 patients (6.77%) died, of which 50 (70.42%) were attributed to BC. RCS analysis revealed a U- shaped relationship between BMI levels and OS and BCSS after adjusting for other variables. The turning points of the U-shaped curves were 23 kg/m2. On the left side of the turning point, the risk of OS (HR, 0.83; 95% CI, 0.70, 0.98) and BCSS (HR, 0.80; 95% CI, 0.65, 0.98) were adversely correlated with BMI. In contrast, to the right of the turning point, the risk of OS (HR, 1.22; 95% CI, 1.10, 1.37) and BCSS (HR, 1.28; 95% CI, 1.13, 1.46) was positively related to BMI. Kaplan-Meier curves and multivariate Cox regression analyses shown consistent results with RCS analyses. BMI was an independent prognostic factor for BC, and had a U-shaped relationship with OS and BCSS. Interventions should be designed to improve patient outcomes based on BMI.

Leptin Concentrations Determine the Association between High-Sensitivity C-Reactive Protein Levels and Body Mass Index in Prepubertal Children.

Obesity is associated with the presence of low-grade inflammation even during childhood. The dysregulation in the secretion of adipokines, such as leptin, which occurs in obesity states, could be associated with an increase in inflammatory factors already at an early age. In this cross-sectional study, we aimed to investigate the role of leptin levels in the association between body mass index (BMI) and high-sensitivity C-reactive protein (hs-CRP) in healthy schoolchildren. Leptin and hs-CRP levels were analyzed in two pediatric cohorts comprising 684 prepubertal children and 763 adolescents. hs-CRP concentrations correlated significantly with BMI and leptin levels in prepubertal males and females as well as in adolescents. However, after adjusting for leptin concentration, no significant correlation was observed between hs-CRP and BMI in prepubertal children, while the correlations remained significant in adolescents. The same differences were observed when analyzed BMI according to hs-CRP tertile after adjusting for leptin; mean BMI was not significantly different between hs-CRP tertile in prepubertal children but was significantly different in adolescents. In conclusion, the fact that leptin concentrations determine the association of BMI with hs-CRP levels in prepubertal children, but not in adolescents, suggests a role for leptin in low-grade inflammation at early ages, while other factors seem to contribute to hs-CRP levels later in life.

Body Mass Index, Obesity, and Mortality– Part I

The association of obesity with mortality has been the subject of scientific investigation for centuries. Although historical observations, as well as more recent quantitative analyses, demonstrate a relationship of obesity with early death, there remain questions about the degree of the association and how it may vary with age, diet, physical activity, and other life circumstances. The relationship between body mass index (BMI) and mortality is “U-shaped,” with the lowest mortality rate observed at a mildly overweight BMI. Many potential explanations have been postulated for higher mortality at both lower and higher levels of BMI, such as occult disease in those at low BMI; difference across categories in weight variability, smoking, and/or distribution of body fat; and the “fit but fat” phenotype. This review discusses some of the continuing questions and hypotheses surrounding the relationship of BMI with mortality and identifies additional research needed.

A CORRELATION BIOMARKER BETWEEN BMI AND LIPID PEROXIDATION IN TYPE 2 DIABETES MELLITUS WITH AND WITHOUT OTHER COMPLICATIONS

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder associated with several complications, such as cardiovascular disease and retinopathy. Objective: The main objective is to find the correlation between body mass index (BMI) and lipid peroxidation biomarkers in T2DM patients with and without complications. This cross-sectional study involves 50 T2DM patients, with 25 patients having complications and 25 without complications. The study was conducted at Nishtar Medical University and Hospital from August 2022 to February 2023. BMI and lipid peroxidation biomarkers were measured, including malondialdehyde (MDA) and 4-hydroxynonenal (4-HNE). T2DM patients with complications had a significantly higher BMI and higher levels of MDA and 4-HNE compared to those without complications. A positive correlation was observed between BMI and lipid peroxidation biomarkers in both groups of T2DM patients.&#x0D; Furthermore, T2DM patients with complications had significantly higher levels of fasting blood glucose, HbA1c, total cholesterol, LDL cholesterol, triglycerides, and serum creatinine, and lower levels of HDL cholesterol compared to those without complications. Our study highlights the importance of managing BMI and oxidative stress in preventing and managing T2DM complications. More studies are required to find the mechanisms underlying the association between BMI and lipid peroxidation in T2DM patients and to investigate the potential therapeutic implications of managing BMI and oxidative stress in T2DM patients.