Body Mass Index Categories Research Articles

Body Mass Index and Surgical Diagnosis of Endometriosis: Do Obese Patients Experience an Operative Delay?

Objectives: The objective of this study was to quantify the time to diagnosis of endometriosis by laparoscopy for patients of varying body mass index (BMI), as well as the safety of laparoscopy for endometriosis by BMI. Materials and Methods: We performed a retrospective cohort study of reproductive-age women receiving a primary laparoscopic diagnosis of endometriosis at an academic tertiary hospital from January 2017 to December 2020. Patients excluded were those undergoing repeat laparoscopy, with previously histologically diagnosed endometriosis, asymptomatic endometriosis, an unknown first gynecologic encounter, or an unknown initial BMI. Our primary outcome was time to surgical diagnosis of endometriosis by BMI class. Our secondary outcome was the evaluation of peri/postoperative risk of laparoscopy for endometriosis. Results: A total of 152 patients received a primary surgical diagnosis of endometriosis, including 44% normal or underweight patients, 29% overweight patients, and 27% obese patients. Obese patients experienced a delay from gynecologic presentation to diagnostic laparoscopy (18.4 months, interquartile range [IQR] 3.1–42.8) compared to overweight patients (9.0 months, IQR 2.5–23.2) and normal and underweight patients (3.8 months, IQR 1.1–17.0) (P = 0.02). Although a higher percentage of overweight and obese patients was Hispanic and non-Hispanic Black, multiple linear regression maintained a significant relationship between time to surgery and BMI (P = 0.03). Perioperative and postoperative complications did not differ by BMI class. There were no differences in repeat laparoscopy for endometriosis within 3 years by BMI (P = 0.99). Conclusion: BMI is independently associated with time to surgical diagnosis of endometriosis in our retrospective study. Diagnostic laparoscopy appears safe in obese patients, without significant perioperative morbidity.

Obesity and Primary Total Knee Arthroplasty: The Absolute versus Relative Risk of Periprosthetic Joint Infection at 15 Years

When indicating patients for primary total knee arthroplasty (TKA), surgeons and patients must understand the absolute and relative risks of periprosthetic joint infection (PJI) to make an informed decision. We sought to evaluate the long-term risk of PJI following primary TKA stratified by body mass index (BMI) and PJI-related risk factors. We identified 25,160 primary TKAs performed from 2000 to 2021 at a single institution. Patients were stratified as having 0, 1, or ≥ 2 PJI risk factors (diabetes, chronic kidney disease, non-primary osteoarthritis, immunosuppression, or active smoking) and into BMI categories. The 15-year cumulative risk of PJI was evaluated by BMI and PJI risk factors. For the entire cohort, the 15-year absolute risk of PJI was 3%. For patients who did not have PJI risk factors, the absolute risk of PJI at 15 years was 3% in normal weight, 4% in class III obesity, and 4% in class IV obesity. Patients who had class III obesity had a 3-times higher relative risk of PJI when compared to normal-weight patients (P = 0.01). Among patients who had ≥ 2 PJI risk factors, the absolute risk of PJI at 15 years was 5% in normal weight and 6% in patients who have class III obesity. Healthy patients who had class III obesity had a 3-times increased risk of PJI relative to healthy, normal-weight patients; however, the absolute risk of PJI at 15 years after primary TKA was 4% in this group. Surgeons and patients must consider both a 3-times increased relative risk of PJI and a 4% absolute risk of PJI at 15 years after primary TKA when considering surgery in otherwise healthy patients who have BMI ≥ 40.

Maternal early pregnancy body mass index and risk of sleep apnea in the offspring.

We investigated the association between maternal early pregnancy body mass index (BMI) and offspring sleep apnea diagnosis. We conducted a nationwide cohort study among 3,281,803 singleton live births in Sweden born 1983-2015. Using national registers with prospectively recorded information, we followed participants for a sleep apnea diagnosis from 2 to up to 35 years of age. We compared sleep apnea risks by early pregnancy BMI categories using hazard ratios with 95% confidence intervals from adjusted Cox models. To address confounding by factors shared within families, we conducted sibling-controlled analyses and studied the relation of siblings' maternal BMI with index offspring's sleep apnea risk. There were 17,830 sleep apnea diagnoses. Maternal early pregnancy BMI was positively associated with offspring sleep apnea risk; compared with women with normal BMI (18.5-24.9), adjusted hazard ratios (95% confidence intervals) of offspring sleep apnea for maternal BMI categories 25.0-29.9 (overweight), 30.0-34.9 (obesity class I), and ≥35.0 (obesity class II or III) were, respectively, 1.14 (1.09, 1.19), 1.28 (1.20, 1.36), and 1.40 (1.27, 1.54). Corresponding hazard ratios from sibling-controlled analyses representing risk change for maternal BMI differences between pregnancies were, respectively, 1.13 (1.01, 1.26), 1.17 (0.97, 1.42), and 1.32 (0.97, 1.80). Hazard ratios by siblings' maternal BMI were attenuated, suggesting a weak role for shared familial factors. Other pregnancy, birth, and neonatal complications were associated with offspring sleep apnea risk but did not substantially mediate the association with maternal obesity. Maternal overweight and obesity are associated with offspring sleep apnea risk in a dose-response manner. Zhu MQ, Cnattingius S, O'Brien LM, Villamor E. Maternal early pregnancy body mass index and risk of sleep apnea in the offspring. J Clin Sleep Med. 2024;20(10):1675-1684.

Adaptation of a modified Elixhauser comorbidity index to isolate the impact of body mass index on survival outcomes in patients with cancer in a large integrated healthcare system.

124 Background: Variable impacts of body mass index (BMI) on overall survival (OS) and cancer-specific survival (CSS) have been described in patients with cancer, with existing data highlighting both detrimental effects and malignancy-specific benefits. Real-world data derived from integrated healthcare systems are underexplored in this context, and tight control of confounding using validated tools such as the Elixhauser Comorbidity Index (ECI) is rarely employed in pre-existing studies. Herein, we offer a highly refined description of the impact of BMI on cancer-specific outcomes in a large patient cohort using a targeted ECI model. Methods: 153,270 patient records were abstracted from an integrated healthcare system from 2010-2018, including descriptors of age, race/ethnicity, income, disease stage, and treatment regimens. Standardized derivation of BMI within one year prior to diagnosis was performed and categorized by World Health Organization definitions. A custom ECI was designed to exclude ICD codes for obesity to effectively isolate the impact of BMI on downstream analyses. Kaplan-Meier survival estimates of OS and CSS were constructed, and univariate and multivariate Cox proportional hazard (PH) modeling was performed to determine hazard ratios (HR). Results: When normalized to healthy BMI in multivariate modeling, we found a favorable dose-dependent relationship of overweight and obese BMI on OS and CSS independent of age, race/ethnicity, income, modified ECI score, cancer stage, or therapeutic regimen (Table). This advantage to OS and CSS was not as strongly reflected in severely obese patients, though still significant compared to healthy BMI counterparts. Being underweight was a negative prognostic indicator for OS and CSS in all patients compared to a healthy BMI. Conclusions: We demonstrate a beneficial impact of increased BMI on OS and CSS in a large cohort of patients treated in an integrated healthcare model independent of tightly controlled confounding. Specifically, we highlight the utility of isolating obesity using a targeted ECI model for comorbidity adjustment, which may provide a more robust measure of the influence of BMI on survival. Our findings raise questions regarding attention to adequate control of confounding in prior studies, as well as the potential benefit of removing variation in healthcare delivery in understanding these outcomes. Adjusted HR of OS and CSS stratified by BMI category (*95% Confidence Interval). BMI Category Adjusted OS Adjusted CSS Normal Weight(18.5 – 24.9) 1 (reference) 1 (reference) Underweight(< 18.5) 1.35 (1.25 – 1.45*) 1.28 (1.15 – 1.41) Overweight(25 – 29.9) 0.83 (0.81 – 0.85) 0.84 (0.81 – 0.87) Obese(30 – 39.9) 0.81 (0.79 – 0.83) 0.81 (0.78 – 0.84) Severe Obesity(≥ 40) 0.86 (0.82 – 0.90) 0.82 (0.77 – 0.87) Unknown 1.33 (1.24 – 1.43) 1.19 (1.07 – 1.31)

The Body Mass Index as a Determinant of Acute Ischemic Location in Mild Non-cardioembolic Stroke Patients.

Objective Although the body mass index (BMI) is considered a meaningful parameter for evaluating obesity, the association between the BMI and acute non-cardioembolic stroke remains unclear. We investigated how the BMI was related to patients' background, type of infarction, and infarction location in patients with non-cardioembolic stroke using an acute dual study (ADS) cohort. Methods The ADS trial was conducted between May 2011 and June 2017 in Japan. The BMI classifications were those proposed by the World Health Organization classification: underweight, <18.5 kg/m2; normal weight, 18.5-24.9 kg/m2; overweight, 25-29.9 kg/m2; and obese, ≥30 kg/m2. Results Data from 1,136 patients were analyzed. The median BMI was 23.6 kg/m2 (interquartile range: 21.6-25.8 kg/m2), with a BMI ≥30 kg/m2 in 63 patients (6%), 25-29.9 kg/m2 in 321 (28%), 18.5-24.9 kg/m2 in 692 (61%), and <18.5 kg/m2 in 60 (5%). The group with a BMI ≥30 kg/m2 was the youngest, and the group with a BMI <18.5 kg/m2 was the oldest (p<0.001). The proportion of patients with a history of hypertension (p<0.001), diabetes (p<0.001), dyslipidemia (p<0.001), and statin therapy (p=0.005) increased with increasing BMI. Pontine infarcts were frequent in the following order: obese, overweight, normal weight, and underweight (24%, 18%, 14%, and 13%, respectively; p=0.034). In contrast, cortical infarct were frequent in the order of underweight, normal weight, overweight, and obese at 20%, 19%, 14%, and 3%, respectively (p=0.007). Conclusion Acute stroke patients with a high BMI have more atherosclerosis-related factors in their backgrounds than those with lower BMIs. In addition, the BMI may be a determinant of infarct location in patients with acute stroke.

Are the Effects of High-Intensity Interval Exercise on Executive Function, Mental Health, and Mood Obesity Dependent?

ABSTRACT Introduction High-intensity interval exercise (HIIE) is considered a time-efficient intervention to improve physical health in individuals with obesity. However, data on psychological outcomes are sparse. This study aimed to analyze and compare the acute effects of HIIE on executive function and mental health in young men with and without obesity. Methods Ten men with obesity (OB) (age, 23.10 ± 3.31 yr; body mass index (BMI), 34.6 ± 4.4 kg·m−2) and 10 with normal weight (NW) (age, 23.50 ± 1.64 yr; BMI, 23.1 ± 3.9 kg·m−2) underwent a single HIIE session. Outcomes were assessed at baseline, immediately after (AHS), 2 h after (AHS + 2), and 24 h after (AHS + 24) the HIIE session. Results Interaction effects showed that executive function was impaired in the OB group, with an average increase in reaction time of 407.80 ms (95% confidence interval (CI), 76.62–738.98 ms; P = 0.01) at AHS compared to baseline. Time effects were found for anxiety and depression scores at AHS + 2 for both groups compared to baseline (−2.75; 95% CI, −5.42 to −0.08; P = 0.04), and for anxiety scores at AHS (−2.55; 95% CI, −4.42 to −0.68; P = 0.004). Interaction effects were found for vigor scores at AHS + 2, with a decrease in vigor in the OB group and an increase in the NW group (P = 0.02). Conclusion Although anxiety and depression symptoms are improved 2 h after a HIIE session regardless of BMI category, individuals with obesity may present distinct results in executive function and vigor after a single HIIE bout.

Gestational weight gain and body mass index in Asian Indian women: Impact of timing and amount on fetomaternal outcomes

ABSTRACT Background: The aim of the study was to describe pre-pregnancy body mass index (BMI), total gestational weight gain (TGWG), and trimester-specific gestational weight gain (TSGWG) among Asian Indians and examine their association with adverse fetomaternal outcomes (AFMO). Methods: Using a prospective cohort study design, 557 pregnant women were recruited in the first trimester and followed up until delivery. Maternal BMI, TGWG and TSGWG were assessed and categorised according to the World Health Organisation (WHO) Asia Pacific BMI guidelines and the Institute of Medicine (IOM) recommendations, respectively. Maternal clinical characteristics and pregnancy and neonatal outcomes were assessed to predict AFMO. Logistic regression models in univariate and multivariate analysis were performed to estimate the odds ratios (OR) and 95% confidence intervals (CI). Results: The median BMI was 23.5 kg/m2. Moreover, 24.6% were overweight and 31.2% were obese, according to WHO Asia Pacific BMI cut points. The mean TGWG was 10.8 ± 1.9 kg and the mean TSGWG in the first, second and third trimesters were 1.7 ± 0.7 kg, 4.3 ± 1.1 kg and 4.8 ± 1.2 kg, respectively. We found a significant association of BMI, TGWG and TSGWG with various AFMO. Furthermore, excess third-trimester GWG has been demonstrated as a predictor of adverse maternal outcomes like hypertension and gestational diabetes mellitus. Conclusions: Our study reinforces the importance of optimal BMI and TGWG and further emphasises on assessment of TSGWG, which allows for early diagnosis of weight deviations, when prompt interventions can still improve pregnancy outcomes. We also suggest the adoption of BMI categories and GWG recommendations, specific to the socio-demographic characteristics of the population, to optimise the prevention, early diagnosis, and timely management of AFMO.

Impact of body mass index on in-hospital outcomes in patients receiving leadless pacemakers: A five-category analysis

BackgroundThe adoption of leadless pacemakers (LPMs) is increasing, yet the impact of body mass index (BMI) on procedural outcomes remains underexplored. ObjectiveThe purpose of this study was to explore the impact of BMI on in-hospital outcomes for patients receiving LPM implantation. MethodsData from the National Inpatient Sample from 2018–2021 were analyzed for patients older than 18 years who underwent LPM implantation, with specific inclusion and exclusion criteria applied. Patients were identified using International Classification of Diseases 10th Revision codes and categorized into BMI groups: underweight, normal, overweight, obese, and morbidly obese. The primary outcome assessed was in-hospital mortality. Secondary outcomes included blood transfusion, pericardial complications, infection/inflammation, removal/revision, and other complications. ResultsThe study included 3832 patients who underwent LPM implantation between 2018 and 2021, weighted to represent 19,610 patients, with 3540 having an appropriate BMI designation. Mortality was lower in the obese group (2.3%) compared to the nonobese group (2.7%) (adjusted odds ratio [aOR] 0.462, 95% confidence interval [CI] 0.259–0.623, P = .009). Compared to the normal weight group, those categorized as overweight, obese, and morbidly obese demonstrated a lower risk of in-hospital mortality (aOR 0.432, 95% CI 0.299–0.734, P = .009; aOR 0.465, 95% CI 0.238–0.721, P <.001; aOR 0.299, 95% CI 0.153–0.586, P <.001, respectively). ConclusionThese findings support the existence of the obesity paradox in patients with LPM implantation, where higher BMI categories are associated with improved mortality outcomes, meeting our prespecified primary endpoint. Further studies are needed to clarify the mechanisms behind these observations.

Emotional overeating and eating motives during COVID-19 in Polish women: Intergroup comparison among participants in various body mass index categories

Introduction: Taking into account the situation of the COVID-19 pandemic and the ac-companying lockdown resulting in increased negative emotions, it is interesting to learn about eating motives and behaviors and check their intensity. The aim of this study was to investigate the differences between Polish women in various body mass index categories in terms of eating motives and emotional overeating during the COVID-19 pandemic. Material and methods: This study sample comprised 1,447 women (Mage = 31.34 ± 11.05; MBMI = 23.79 ± 4.59). The research used the following tools: the Eating Motivation Survey, the Emotional Overeating Questionnaire, and socio-demographic questions. Results: Focusing on selected significant outcomes, women with obesity had a higher level of emotional overeating and affect regulation related-eating motive and a lower level of need &amp; hunger- and health-related eating motives than women with normal body weight. Conclusions: In view of the results of this and other eating-behavior-related studies, it is worth considering the possibility of additional researches related to the COVID-19 pandemic and other crisis situations. Eating behaviors are an important aspect of maintaining proper mental and physical health of people, so it is worth remembering that public healthcare professionals (such as psychologists, nutritionists, and primary care physicians) can effectively help reduce incorrect eating behaviors.

How do adolescents perceive body image and respond to body dissatisfaction?

To assess adolescents' attitudes, satisfaction, and practices regarding their body image across body mass index (BMI) categories. In this cross-sectional survey (2019-2020), we recorded anthropometry of 2,089 girls and boys between 13and 17 years from semi-urban schools in western India.Multidimensional Body-Self Relations Questionnaire (MBSRQ) was used for multidimensional attitudinal assessment of body image and weight-related variables. The Stunkard scale was used to assess body shape perception. In higher age categories, boys were more satisfied with their appearance (p=0.012, p linearity=0.001), cared more about grooming (p=0.007, p linearity=0.001), and regarded themselves more physically fit (p=0.003, p linearity 0.030 up to 16 years). Boys with normal BMI were more satisfied with their appearance (p=0.001), fitness (p=0.024), and more alert about symptoms of illness (p<0.000) than others. With increasing BMI, older girls and boys were morepreoccupied with their weight and perceived themselves to be heavier (p=0.001). A majority of underweight girls perceived their weight as normal. Students engaged in weight loss practices irrespective of their BMI category. Boyswanted a bigger, and girls a smaller body shape than their current shape. We found body shape dissatisfaction in66.4 % adolescents, more in boys than in girls (p=0.001). Body shape dissatisfaction is quite common among semiurban adolescents, with boys outnumbering girls. BMI, age, and sex are associated with weight perception and attitude toward body image. Unindicated weight loss practices are prevalent.

Resuscitative endovascular balloon occlusion of the aorta in the patient with obesity.

Palpation of anatomic landmarks is difficult in patients with obesity, which could increase difficulty of achieving femoral access and resuscitative endovascular balloon occlusion of the aorta (REBOA) placement. The primary aim of this study was to examine the association between obesity and successful REBOA placement. We hypothesized that higher body mass index (BMI) would decrease first-attempt success and increase time to successful aortic occlusion (AO). A review of the Aortic Occlusion for Resuscitation in Trauma and Acute Care Surgery (AORTA) registry was performed on patients who underwent REBOA placement with initiation systolic blood pressure >0 mm Hg from years 2013-2022. Patients were excluded if they received cardiopulmonary resuscitation on arrival, underwent open AO, or missing data entries for variables of interest. Body mass index categorization was as follows: non-obese (<30), class I (30-34.9), class II (35-39.9), and class III (40+) obesity. Patients were also stratified by access technique, including use of palpation or ultrasound guidance. Inclusion criteria were met by 410 patients. On binary analysis, no primary outcomes of interest, including rate of success, time to placement, or mortality, were significantly impacted by BMI. Among BMI subgroups, there was no statistical difference in injury severity, admission systolic blood pressure (SBP), or augmented SBP. At initiation of aortic occlusion, patients with class II and class III obesity had higher median SBP compared with non- and class I obese patients (p = 0.03). Body mass index subgroup did not impact likelihood of first-attempt success or conversion to open procedure. When stratified by access technique, there was no difference in success rates, time to success or mortality between groups. Body habitus did not impact success of REBOA placement, time to successful AO, or mortality. Further, ultrasound guidance was not superior to landmark palpation for arterial access. Following traumatic injury without hemodynamic collapse, obesity should not deter providers from considering REBOA placement. Therapeutic/Care management, Observational, Cross-sectional; Level IV.

Body Mass Index and Diabetes Incidence Across the Adult Lifespan: The Baltimore Longitudinal Study of Aging.

Body composition and glucose metabolism change with aging. Whether different levels of body-mass-index (BMI) are needed to define diabetes risk across the adult lifespan is unknown. This work aimed to investigate whether BMI similarly reflects relative fat mass (FM) and diabetes risk across age groups. Participants without diabetes from the Baltimore Longitudinal Study of Aging (973 men, 1073 women), stratified by age (<50, 50-59, 60-69, ≥70 years) and categorized by either World Health Organization (WHO)-defined BMI categories (for normal weight, overweight or obesity) or BMI quartiles. The primary exposure was BMI. The primary outcome was diabetes incidence. The relationship of BMI to dual-energy x-ray absorptiometry-derived FM was also investigated in older vs younger participants. The median (range) follow-up time was 7.1 years (range, 0-29.0 years). Within WHO-defined BMI categories, different age groups demonstrated significantly different FM percentage, FM/lean mass, and waist circumference (P < .05). WHO-defined BMI categories for overweight and obesity were generally related to higher diabetes risk compared to normal weight in all ages except 50 to 59 years. When BMI was categorized by quartiles, diabetes incidence increased dramatically beginning in quartile 2 (23-25 kg/m2) in older groups. BMI cutoffs with equivalent diabetes incidence rate as BMI 25 kg/m2 and 30.0 kg/m2 in individuals younger than 50 years were 22.7 kg/m2 and 25.2 kg/m2 for ages 50 to 59 years; 22.8 kg/m2 and 25.0 kg/m2 for ages 60 to 69 years; and 23.2 kg/m2 and 25.8 kg/m2 for ages 70 years and older, respectively. WHO-defined BMI categories do not reflect similar diabetes risk across the lifespan. Diabetes incidence is greater at lower levels of BMI in older adults and may lead to underestimation of diabetes risk with aging, particularly among those traditionally classified as normal-weight individuals.

Relationships between human serum albumin levels and septic shock, in-hospital, and out-of-hospital mortality in elderly patients with pneumonia in different BMI ranges

ObjectiveThis retrospective cohort identified the association of human serum albumin (HSA) with adverse outcomes (septic shock, in-hospital and out-of-hospital mortality) in elderly hospitalized patients who have community-acquired pneumonia (CAP) and specific body mass index (BMI).Materials and methodsThis research included hospitalized CAP individuals (≥ 60 years) and was conducted at a teaching hospital in western China. All the patients were categorized into three populations based on two BMI cutoff values (18.5 kg/m2 and 24 kg/m2). The data was acquired from medical records, local government mortality databases, and telephone interviews. Binomial logistic regression analysis was used to explore the associations between low HSA and septic shock and in-hospital mortality, and Cox regression analysis was used to explore the association between low HSA and out-of-hospital mortality.ResultsA total of 627 patients were included in the analysis of in-hospital death and septic shock, and 431 patients were included in the analysis of out-of-hospital death. The study showed that 120 elderly patients with CAP (19.14%) died in the hospital, while 141 patients (32.71%) died out of the hospital, and 93 patients (14.83%) developed septic shock. No differences in in-hospital and out-of-hospital mortality were observed for BMI values < 18.5 kg/m2 or BMI ≥ 24 kg/m2, regardless of whether HSA was ≥ 40 g/l or < 40 g/l. When 18.5 kg/m2 ≤ BMI < 24 kg/m2, patients with HSA < 40 g/l had both higher in-hospital and out-of-hospital mortality compared with those with HSA ≥ 40 g/l (in-hospital death: 26.13% vs. 11.46%, p < 0.001; out-of-hospital death: 46.15% vs. 19.17%, p < 0.001). No significant differences were observed in the incidence of septic shock between patients with HSA < 40 g/l and those with HSA ≥ 40 g/l either in the overall population or when the BMI values were divided according to the cutoff values of 18.5 kg/m2 and 24 kg/m2. After further logistic regression analysis and adjustment for potential confounders, the results showed that when 18.5 kg/m2 ≤ BMI < 24 kg/m2, elderly CAP patients with HSA < 40 g/l had a higher risk of in-hospital and out-of-hospital mortality compared with those with HSA ≥ 40 g/l (in-hospital death: HR = 1.964, 95%CI = 1.08–3.573; out-of-hospital death: HR = 2.841, 95%CI = 1.745–4.627).ConclusionsHSA levels can predict the risk of in-hospital and out-of-hospital mortality in elderly patients with CAP and normal BMI values. However, HSA cannot predict the risk of septic shock in elderly patients hospitalized with CAP, irrespective of their BMI classification.

Prevalence and sociodemographic associations with weight discrimination in early adolescents

ObjectivesTo evaluate the prevalence of weight discrimination (the perception of being treated unfairly based on weight) and its sociodemographic associations among early adolescents aged 10 to 13 in the United States. MethodsWe analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study in Year Two (2018–2020). Multivariable logistic regression analyses were conducted, with perceived weight discrimination as the dependent variable and age, sex, sexual orientation, race and ethnicity, body mass index (BMI) category, household income, and highest parental education level as adjusted independent variables. Interaction with BMI category and weight discrimination by sex, sexual orientation, race and ethnicity, and household income was tested for. ResultsIn our analytical sample (N = 7129), we found that 5.46 % of early adolescents reported experiencing weight discrimination. Adolescents with BMI percentile ≥95th (adjusted odds ratio [AOR], 6.41; 95 % confidence interval [CI], 4.71–8.70), <5th (AOR, 3.85; 95 % CI, 2.10–7.07), and ≥85th to <95th (AOR, 2.22; 95 % CI, 1.51–3.25) had higher odds of experiencing weight discrimination compared to adolescents with BMI percentile 5th to <85th. Sex and race and ethnicity modified the relationship between BMI category and weight discrimination. Adolescents who identified as gay/bisexual (AOR, 3.46; 95 % CI, 2.19–5.45) had higher odds of experiencing weight discrimination compared with heterosexual adolescents. ConclusionsOur results underscore the need for anti-bullying campaigns and positive media representation of all body types. Clinicians should recognize that sexual minority youth disproportionately experience weight discrimination, emphasizing the need for affirmative healthcare and early intervention to prevent the mental health impacts of such discrimination.

Preconception and Early-Pregnancy Body Mass Index in Women and Men, Time to Pregnancy, and Risk of Miscarriage

Obesity in women is associated with reduced fertility and an increased risk of miscarriage. These associations might also be present across the full range of body mass index (BMI) categories as well as among men. To investigate the associations of preconception BMI in both partners with time to pregnancy and miscarriage. This population-based prospective cohort study was conducted in Rotterdam, the Netherlands, between August 9, 2017, and July 1, 2021. A total of 3604 women and their partners were included from the preconception period onward with follow-up until birth. The date of analysis was July 12, 2024. Body mass index (calculated as weight in kilograms divided by height in meters squared) measured in preconception or early pregnancy. Fecundability, defined as the probability of conceiving within 1 month; subfertility, defined as time to pregnancy or duration of actively pursuing pregnancy of more than 12 months or use of assisted reproductive technology; and miscarriage, defined as pregnancy loss before 22 weeks of gestation. These measures were assessed using questionnaires and via the obstetric caregiver. The study population for time-to-pregnancy analyses consisted of 3033 episodes among women (median age, 31.6 years [IQR, 29.2-34.5 years]; median BMI, 23.5 [IQR, 21.2-26.5]) and 2288 episodes among men (median age, 33.4 years [IQR, 30.5-36.8 years]; median BMI, 24.9 [IQR, 23.0-27.4]). The study population for miscarriage analyses consisted of 2770 pregnancy episodes among women (median age, 31.5 years [IQR, 28.9-34.3 years]; median BMI, 23.5 [IQR, 21.3-26.7]) and 2189 pregnancy episodes among men (median age, 33.5 years [IQR, 30.4-36.8 years]; median BMI, 25.0 [IQR, 23.0-27.5]). Higher BMI in women and men was associated with lower fecundability: for every unit increase in BMI, fecundability decreased (fecundability ratio [FR]: women, 0.98 [95% CI, 0.97-0.99]; men, 0.99 [95% CI, 0.98-1.00]). Women with overweight (FR, 0.88 [95% CI, 0.80-0.98]) and obesity (FR, 0.72 [95% CI, 0.63-0.82]) had lower fecundability compared with women with normal weight. Compared with normal weight in women, underweight (odds ratio [OR], 1.88 [95% CI, 1.22-2.88]), overweight (OR, 1.35 [95% CI, 1.11-1.63]), and obesity (OR, 1.67 [95% CI, 1.30-2.13]) were associated with increased odds of subfertility. In men, obesity was associated with increased odds of subfertility (OR, 1.69 [95% CI, 1.24-2.31]). Compared with normal weight in women, overweight (OR, 1.49 [95% CI, 1.12-1.98]) and obesity (OR, 1.44 [95% CI, 1.00-2.08]) were associated with increased odds of miscarriage. In this cohort study, BMI outside of the normal category in women and men during the preconception or early-pregnancy periods was associated with time to pregnancy and miscarriage. Optimizing BMI in women and men from the preconception period onward might be an important strategy to improve fertility outcomes.

Characteristics and pregnancy outcomesofsubtypes of gestational diabetes mellitusbased on HOMA-IR and BMI.

To identify the characteristics and pregnancy outcomes across different subgroups of gestational diabetes mellitus (GDM) categorized by insulin resistance index and body mass index (BMI) in early pregnancy. This retrospective study included 1804 women who underwent a 75g-OGTT during 22-28weeks of gestation, categorized into normal glucose tolerance (NGT) (1487) and GDM (317 [17.57%] of the total cohort). Metabolic parameters were assessed, and equation of homeostatic model assessment (HOMA) were utilized to compute indices of insulin resistance (HOMA-IR), β-cell secretory (HOMA-B), and insulin sensitivity (HOMA-%S) in early and mid-pregnancy. The cut-off value of HOMA-IR (1.61) in early pregnancy was determined via ROC curve analysis. This value, combined with pre-pregnancy BMI, further categorized NGT and GDM into six subgroups respectively, based on HOMA-IR levels (≥ 1.61 or < 1.61) and BMI categories (< 18.5kg/m2, 18.5-25kg/m2, or ≥ 25kg/m2). In comparison to women with NGT, those with GDM were notably older, had higher pre-BMI, fasting plasma glucose (FPG), insulin, and lipid levels in early pregnancy. They also exhibited more pronounced insulin resistance in both early and mid-pregnancy, leading to poorer outcomes. Following an oral glucose load, the peaks of glucose and insulin were out of sync in GDM and its subgroups, accompanied by further increases in HOMA-IR, HOMA-B, and a decrease in HOMA-%S, except for the GDM subgroup with HOMA-IR < 1.61/BMI < 18.5kg/m2. Conversely, glucose and insulin secretion in NGT and its subgroups peaked synchronously at 60min. GDM women with HOMA-IR ≥ 1.61/18.5kg/m2 ≤ BMI < 25kg/m2 had higher rates of neonatal jaundice (34.5% vs 13.9%, p < 0.0001), LGA (28.9% vs 13.2%, p = 0.001), macrosomia (9.8% vs 3.7%, p = 0.025) compared to peers, while in GDM women with HOMA-IR ≥ 1.61/BMI ≥ 25kg/m2, the rates of LGA and macrosomia were 26.6% and 8.4%, respectively. The GDM subgroup with HOMA-IR < 1.61/BMI < 18.5kg/m2 exhibited the highest rates of premature rupture of membrane (46.7%) and postpartum hemorrhage (20%), predominantly with vaginal delivery and a 1min Apgar score of 4.5% in GDM women with HOMA-IR < 1.61/18.5kg/m2 ≤ BMI < 25kg/m2. GDM and its subgroups displayed severe insulin resistance and poorer insulin sensitivity, leading to an increased risk of adverse pregnancy outcomes. GDM women with higher IR and normal or over weight were more likely to experience LGA and macrosomia, while those with lower IR and underweight were prone to premature rupture of membrane and postpartum hemorrhage during vaginal delivery.

Observed Versus Predicted Vaginal Birth After Cesarean for Patients of a Community Health Center.

The Maternal-Fetal Medicine Units Network calculator for vaginal birth after cesarean (VBAC) probability was updated to exclude a race and ethnicity variable, but its impact on marginalized groups is unknown. We assessed the tool with attention to birth history and body mass index (BMI) in a predominately Hispanic cohort and examined the possible effect of discouraging labor after cesarean (LAC) with a low score. We conducted a retrospective cohort study of LACs by patients who entered spontaneous or induced labor with a live, nonanomalous fetus in cephalic presentation between 2012 and 2022. Observed VBAC rates were compared with the mean predicted VBAC probability derived from the calculator. Areas under the curve (AUCs) were calculated for the entire cohort and for individuals with LAC with and without prior vaginal birth. A z-test was used to determine the significance between VBAC rates in 4 BMI categories. The impact of discouraging LAC with VBAC probability below 70% was examined. A total of 400 people experienced 507 LACs, with 417 (82.2%) resulting in VBAC compared with a mean predicted probability of 71.2%. The AUC for all LACs was 0.76 (95% CI, 0.71-0.81), whereas the AUC for LACs with prior vaginal birth was 0.70 (95% CI, 0.56-0.85) and without was 0.60 (95% CI, 0.52-0.67). Observed VBAC rates exceeded predicted rates for individuals with overweight and obese BMIs: <25 (79.6% vs 75.6%; P =.520), 25 to 30 (83.2% vs 71.9%; P =.007), 30 to 40 (82.7% vs 70.0%; P =.004), and ≥40 (82.8% vs 58.3%; P =.040). Discouraging LAC below 70% probability might have prevented 71 unsuccessful LACs, 160 initial VBACs, and 57 subsequent VBACs, decreasing the VBAC rate to 39.4% (200/507). In a predominately Hispanic cohort, the updated calculator underestimated VBAC potential for people with no vaginal birth history and/or an elevated BMI. Discouraging LAC based on low VBAC probability may prevent both initial and subsequent VBACs.

Elevated body mass index is not significantly associated with reduced influenza vaccine effectiveness

Elevated body mass index (BMI) has been linked to severe influenza illness and impaired vaccine immunogenicity, but the relationship between BMI and clinical vaccine effectiveness (VE) is less well described. This secondary analysis of data from a test-negative study of outpatients with acute respiratory illness assessed BMI and VE against medically attended, PCR-confirmed influenza over seven seasons (2011–12 through 2017–18). Vaccination status was determined from electronic medical records (EMR) and self-report; BMI was estimated from EMR-documented height and weight categorized for adults as obesity (≥ 30 kg/m2), overweight (25–29 kg/m2), or normal and for children based on standardized z-scales. Current season VE by virus type/subtype was estimated separately for adults and children. Pooled VE for all seasons was calculated as 1—adjusted odds ratios from logistic regression with an interaction term for BMI and vaccination. Among 28,089 adults and 12,380 children, BMI category was not significantly associated with VE against outpatient influenza for any type/subtype. Adjusted VE against A/H3N2, A/H1N1pdm09, and B in adults ranged from 16–31, 46–54, and 44–57%, and in children from 29–34, 57–65, and 50–55%, respectively, across the BMI categories. Elevated BMI was not associated with reduced VE against laboratory confirmed, outpatient influenza illness.

Prevalence and characteristics of people with a high body mass index across the kidney disease spectrum: a population-based cohort study

The prevalence of obesity is growing globally and has major health implications, particularly for those with chronic kidney disease (CKD). People with obesity have a higher risk of CKD progression and face barriers to transplantation. Studies on the epidemiology and outcomes of obesity in the Canadian CKD population are lacking. This population-based cohort study included adults aged 18 and over with a hospital encounter in London, Ontario, Canada from 2010 to 2019 where height and weight were recorded. They were stratified into CKD stages 1-5 (by estimated glomerular filtration rate (eGFR)), dialysis or renal transplant status and by body mass index (BMI) using Canada Obesity Guidelines. Outcomes included prevalence of BMIs by CKD stage, and CKD progression and transplant outcomes across BMI classes. Our cohort included 198,151 patients. The prevalence of BMI ≥30 kg/m2 grew as eGFR declined (i.e., 37% in stage 1, 41.5% in stage 3b, 40.9% in stage 4) but fell in end-stages (i.e., 37.4% in Stage 5, 38.8% in dialysis, 38.5% in transplant recipients). CKD progression and kidney failure appeared more frequent in those with a BMI ≥30 kg/m2. In a smaller sample, we noted that end-stage patients with a BMI ≥30 kg/m2 were less frequently transplanted, but experienced post-transplant complications less often. This study revealed that high BMI is a prevalent issue in the Canadian CKD population and may influence kidney outcomes and transplant candidacy. This data will help inform clinical trials to create and study weight loss interventions for those with CKD and obesity.

Cardiovascular Risk Factors in Socioeconomically Disadvantaged Populations in a Suburb of the Largest City in Western Romania.

Background and Objectives: Cardiovascular disease (CVD) remains a major public health issue worldwide, disproportionately affecting socioeconomically disadvantaged populations due to the social determinants of health (SDOHs). In Western Romania, these populations are particularly vulnerable to CVD. This study aims to investigate the prevalence and impact of cardiovascular risk factors (CVRFs) among socioeconomically disadvantaged individuals in Western Romania and identify the primary CVRFs contributing to the high incidence of CVD within this population. Materials and Methods: A retrospective observational design was employed, utilizing data from the medical records of 1433 eligible individuals. The inclusion criteria were based on Eurostat's EU-SILC benchmarks, focusing on severe material deprivation, at-risk-of-poverty rates, and low work intensity. Data on demographics, familial and personal medical history, smoking status, blood pressure, glucose, cholesterol, triglycerides, and HbA1c levels were collected. Results: Of the 1433 subjects, 34.75% were male, with a median age of 52 years. Significant conditions included diabetes (7.39%), coronary disease (3.83%), arterial hypertension (35.58%), and dyslipidemia (21.28%). Median ages were higher for those with diabetes (65 vs. 51 years, p < 0.0001), coronary disease (64 vs. 51 years, p < 0.0001), arterial hypertension (65 vs. 43 years, p < 0.0001), and dyslipidemia (66 vs. 47 years, p < 0.0001). BMI (Body Mass Index) classifications showed 33.77% were overweight, 21.21% obese, and 15.07% morbidly obese. Smokers were younger than non-smokers (48 vs. 54 years, p < 0.0001). Conclusions: The findings highlight the significant prevalence of CVRFs among socioeconomically disadvantaged populations in Western Romania. Socioeconomically disadvantaged populations exhibit a significantly higher prevalence of cardiovascular risk factors such as diabetes, impaired glucose regulation, hypertension, and dyslipidemia compared to their before known status.