Unit Increase In Body Mass Index Research Articles

Choice of Intensive Lifestyle Change and/or Metformin after Shared Decision Making for Diabetes Prevention: Results from the Prediabetes Informed Decisions and Education (PRIDE) Study.

While the Diabetes Prevention Program Study demonstrated that intensive lifestyle change and metformin both reduce type 2 diabetes incidence, there are little data on patient preferences in real-world, clinical settings. The Prediabetes Informed Decisions and Education (PRIDE) study was a cluster-randomized trial of shared decision making (SDM) for diabetes prevention. In PRIDE, pharmacists engaged patients with prediabetes in SDM using a decision aid with information about both evidence-based options. We recorded which diabetes prevention option(s) participants chose after the SDM visit. We also evaluated logistic regression models examining predictors of choosing intensive lifestyle change ± metformin, compared to metformin or usual care, and predictors of choosing metformin ± intensive lifestyle change, compared to intensive lifestyle change or usual care. Among PRIDE participants (n = 515), 55% chose intensive lifestyle change, 8.5% chose metformin, 15% chose both options, and 21.6% declined both options. Women (odds ratio [OR] = 1.60, P = 0.023) had higher odds than men of choosing intensive lifestyle change. Patients >60 years old (OR = 0.50, P = 0.028) had lower odds than patients <50 years old of choosing metformin. Participants with higher body mass index (BMI) had higher odds of choosing intensive lifestyle change (OR = 1.07 per BMI unit increase, P = 0.005) v. other options and choosing metformin (OR = 1.06 per BMI unit increase, P = 0.008) v. other options. Patients with prediabetes are making choices for diabetes prevention that generally align with recommendations and expected benefits from the published literature. Our results are important for policy makers and clinicians, as well as program planners developing systemwide approaches for diabetes prevention.

Association of BMI with cardiovascular disease incidence and mortality in patients with type 2 diabetes mellitus: A systematic review and dose–response meta-analysis of cohort studies

AimsThe relation of body mass index (BMI) with cardiovascular disease (CVD) and mortality has been extensively investigated in the general population but is less clear in individuals with type 2 diabetes mellitus (T2DM). We performed a meta-analysis of cohort studies to quantitatively evaluate the association of BMI with CVD incidence and mortality in patients with T2DM. Data synthesisPubMed and Embase databases were searched for relevant cohort articles published up to June 8, 2020. Restricted cubic splines were used to evaluate the potential linear or non-linear dose–response associations. We identified 17 articles (21 studies) with 1,349,075 participants and 57,725 cases (49,354 CVD incidence and 8371 CVD mortality) in the meta-analysis. We found a linear association between BMI and risk of CVD incidence (Pnon-linearity = 0.182); the pooled RR for CVD incidence was 1.12 (95% CI, 1.04–1.20) with a 5-unit increase in BMI. We found an overall nonlinear relationship between BMI and CVD mortality (Pnon-linearity < 0.001). The lowest risk was at BMI about 28.4 kg/m2, with increased mortality risk for higher BMI values; the RR with a 5-unit increase in BMI was 0.87 (95% CI, 0.79–0.96) and 1.11 (95% CI, 1.04–1.18) for BMI ≤28.4 kg/m2 and BMI >28.4 kg/m2, respectively. ConclusionsIn individuals with T2DM, BMI may have a positive linear association with risk of CVD incidence but a nonlinear association with CVD mortality. Our results can provide evidence for weight control and lifestyle intervention for preventing and managing cardiovascular disease in T2DM.

Associations of ultrasound estimated early mid pregnancy visceral and subcutaneous fat depths and early pregnancy BMI with adverse neonatal outcomes

This study investigated whether maternal central adiposity and body mass index (BMI) were associated with neonatal hypoglycemia and adverse neonatal outcomes. A cohort study was performed at Uppsala University Hospital, Sweden, between 2015 and 2018. Visceral and subcutaneous fat depths were measured by ultrasound at the early second-trimester anomaly scan in 2771 women giving birth to singleton infants. Body mass index was assessed in early pregnancy. Logistic regression models were performed. Adjustments were made for age, BMI (not in model with BMI as exposure), smoking, maternal country of birth, and parity. Outcomes were neonatal hypoglycemia (blood glucose concentration < 2.6 mmol/l), a composite of adverse neonatal outcomes (Apgar < 7 at 5 min of age, or umbilical artery pH ≤ 7.0, or admission to neonatal intensive care unit), and the components of the composite outcome. Visceral and subcutaneous fat depths measured by ultrasound in early mid pregnancy were not associated with any of the outcomes in adjusted analyses. For every unit increase in BMI, the likelihood of neonatal hypoglycemia increased by 5% (aOR 1.05, 95% CI 1.01–1.10), the composite outcome by 5% (aOR 1.05, 95% CI 1.01–1.08), and admission to neonatal intensive care unit by 6% (aOR 1.06, 95% CI 1.02–1.10).

Association between maternal prepregnancy body mass index and pregnancy outcomes following assisted reproductive technology: A systematic review and dose-response meta-analysis.

This systematic review investigated dose-response relationship between maternal prepregnancy body mass index (BMI) and pregnancy outcomes following assisted reproductive technology, including clinical pregnancy rate (CPR), miscarriage rate (MR), and live birth rate (LBR). We searched four major databases and finally included 105 studies involving more than 271,632 pregnant women. We performed linear or nonlinear dose-response meta-analyses using random effects models. At per-woman level, pooling of unadjusted estimates shown an inverted J-shaped relationship between maternal BMI and CPR; pooling of adjusted estimates showed a linear association, suggesting statistical association between higher maternal BMI and lower CPR (adjusted OR [aOR] for 5-unit increase in BMI: 0.96, 95%CI: 0.94-0.98). At per-cycle level, linear dose-response relationship was found between maternal BMI and CPR (crude relative risk, RR, [cRR] for 5-unit increase in BMI 0.97, 0.96-0.98; aOR 0.96, 0.94-0.99). Linear dose-response relationship was established between maternal BMI and the outcomes of MR or LBR (higher BMI associated with higher MR [cRR 1.15, 1.08-1.22] and lower LBR [cRR 0.91, 0.88-0.94] at per-woman level). Sensitivity analyses showed no significant changes. In conclusion, there is dose-response relationship between maternal BMI and pregnancy outcomes following assisted reproductive technology. Higher BMI values may suggest suboptimal pregnancy outcomes.

Body mass index and cancer risk in patients with type 2 diabetes: a dose\u2013response meta-analysis of cohort studies

Although obesity has been associated with an increased cancer risk in the general population, the association in patients with type 2 diabetes (T2D) remains controversial. We conducted a dose–response meta-analysis of cohort studies of body mass index (BMI) and the risk of total and site-specific cancers in patients with T2D. A systematic literature search was conducted in PubMed, Scopus, and Medline until September 2020 for cohort studies on the association between BMI and cancer risk in patients with T2D. Summary relative risks (RRs) and 95% confidence intervals (CIs) were calculated using random effects models. Ten prospective and three retrospective cohort studies (3,345,031 participants and 37,412 cases) were included in the meta-analysis. Each 5-unit increase in BMI (kg/m2) was associated with a 6% higher risk of total cancer (RR: 1.06, 95% CI 1.01, 1.10; I2 = 55.4%, n = 6), and with a 12% increased risk in the analysis of breast cancer (RR: 1.12, 95% CI 1.05, 1.20; I2 = 0%, n = 3). The pooled RRs showed no association with prostate cancer (RR: 1.02, 95% CI 0.92, 1.13; I2 = 64.6%, n = 4), pancreatic cancer (RR: 0.97, 95% CI 0.84, 1.11; I2 = 71%, n = 3), and colorectal cancer (RR: 1.05, 95% CI 0.98, 1.13; I2 = 65.9%, n = 2). There was no indication of nonlinearity for total cancer (Pnon-linearity = 0.99), however, there was evidence of a nonlinear association between BMI and breast cancer (Pnon-linearity = 0.004) with steeper increases in risk from a BMI around 35 and above respectively. Higher BMI was associated with a higher risk of total, and breast cancer but not with risk of other cancers, in patients with T2D, however, further studies are needed before firm conclusions can be drawn.

A non-linear dose-response relation of female body mass index and in vitro fertilization outcomes.

Obesity, measured by body mass index (BMI), is implicated in adverse pregnancy outcomes for women seeking in vitro fertilization (IVF) care. However, the shape of the dose-response relationship between BMI and IVF outcomes remains unclear. We therefore conducted a dose-response meta-analysis using a random effects model to estimate summary relative risk (RR) for clinical pregnancy (CPR), live birth (LBR), and miscarriage risk (MR) after IVF. A total of 18 cohort-based studies involving 975,889 cycles were included. For each 5-unit increase in BMI, the summary RR was 0.95 (95% CI: 0.94-0.97) for CPR, 0.93 (95% CI: 0.92-0.95) for LBR, and 1.09 (95% CI: 1.05-1.12) for MR. There was evidence of a non-linear association between BMI and CPR (Pnon-linearity < 10-5) with CPR decreasing sharply among obese women (BMI > 30). Non-linear dose-response meta-analysis showed a relatively flat curve over a broad range of BMI from 16 to 30 for LBR (Pnon-linearity = 0.0009). In addition, we observed a J-shaped association between BMI and MR (Pnon-linearity = 0.006) with the lowest miscarriage risk observed with a BMI of 22-25. In conclusion, obesity contributed to increased risk of adverse IVF outcomes in a non-linear dose-response manner. More prospective trials in evaluating the effect of body weight control are necessary.

Dealing with categorical risk data when extracting data for meta-analysis

A common problem in meta-analysis of observational studies arises when the exposure variable is categorical rather than continuous. These data may be referred to as quantile or quintile data (depending...

Development of a Predictive Algorithm for Symptomatic Hip Abductor Tears in Patients Undergoing Primary Hip Arthroscopy

Background: Patients presenting with lateral hip pain may pose a difficult diagnostic challenge, as pain can be due to various causes. Purpose/Hypothesis: The purpose was to identify risk factors and predictors for symptomatic hip abductor tears in a cohort of patients undergoing primary hip arthroscopy for femoroacetabular impingement syndrome. We hypothesized that body mass index (BMI), female sex, age, and presence of chondral damage would be significant predictors of hip abductor pathologies. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: Data were prospectively collected and retrospectively reviewed. Patients were included if they underwent primary hip arthroscopy between March 2009 and December 2019. Patients with Tönnis grade >1, previous hip conditions, incomplete radiographic data, or open procedures were excluded. All demographic variables, intraoperative measurements, and radiographic measurements were assessed using a bivariate analysis. A stepwise logistic regression was used to determine predictive variables. Results: In total, 255 hips with a hip abductor tear that underwent hip arthroscopy and 2106 hips without a tear that underwent hip arthroscopy were included. The stepwise logistic regression successfully created a predictive model using age, sex, BMI, lateral joint space, and alpha angle as variables. The efficiency of the predictive model was 90.7%, with an area under the curve of 0.894. The odds of having a hip abductor tear were 7.41 times higher in females (odds ratio [OR], 7.41; 95% CI, 4.61-11.9). Each additional year of age was associated with a 13.7% (OR, 1.137; 95% CI, 1.12-1.16) increase in the odds of having a tear. Similarly, with each 1-unit increase in BMI, the odds of having a tear increased by 3.4% (OR, 1.034; 95% CI, 1.01-1.06). Conclusion: This study successfully created a predictive model that identified female sex (OR, 7.41), increasing age (OR, 1.137 for each year), and increased BMI (OR, 1.034 for each unit of BMI) as significant independent predictors of the presence of hip abductor tears in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome. This model can be used in support of physical examination and imaging suggestive of hip abductor pathology to preoperatively identify the probability of a symptomatic hip abductor tear in these patients.

The Effects of COVID-19 Lockdown on Bodyweight Status and Lifestyle Behaviors Among US Adults: Evidence from the Behavioral Risk Factor Surveillance System 2018-2020

The COVID-19 pandemic and its associated policies may impact body weight in a variety of ways. Using data from the 2018-2020 waves of the Behavioral Risk Factor Surveillance System (BRFSS), we estimate the COVID-19 pandemic’s effect on Body Mass Index and the probability of obesity for adults in the United States. Using a difference-in-differences framework which relies on the plausibly exogenous timing of COVID-19 lockdown as an indicator of when individuals’ lives were first affected by the pandemic, we find statistically significant associations between the introduction of initial lockdown and body weight gain. Event study results suggest that adults experience a temporary decrease in body weight following the first month of lockdown and an increase in body weight as time since initial lockdown increases. We find larger effects for men but more persistent effects for women, as well as greater and more persistent effects for non-white adults, less-educated adults, and adults living in more densely populated states. Analyzing potential mechanisms driving the observed increase in body weight, we find evidence of potential changes in diets and sedentary behaviors following initial lockdown based on increased Google search intensity for terms related to food delivery, high calorie foods, and video streaming platforms.

The Effect of Obesity on Operating Room Utilization in Breast Surgery

BackgroundThe current obesity epidemic is associated with increased health care costs associated with comorbidities such as diabetes and heart disease as well as postoperative complications. However, the effect of obesity on operating room (OR) utilization, especially in common breast procedures, has not been completely evaluated. Our study is the first to examine the effect of patient obesity on operative time (OPT) for common breast procedures. MethodsThe American College of Surgeons National Surgical Quality Improvement Project databases for 2010-2018 were searched for this retrospective review. Patients undergoing common breast operations (lumpectomy, lumpectomy with sentinel lymph node biopsy (SLNB) (+/− injection), lumpectomy and axillary lymph node dissection (ALND), simple mastectomy, mastectomy with SLNB (+/− injection), and mastectomy with ALND) were filtered out by Current Procedural Terminology code and divided into three groups based on their body mass index (BMI) and weight. Using the two-sample t-test, OPT for the procedures was compared among the lowest and highest BMI and weight categories. We also used a linear regression t-test to demonstrate that for every unit increase in BMI, there was a corresponding increase in OPT for each procedure. ResultsWhen the lowest and highest BMI and weight groups were compared, significant differences in OPT (P < 0.0001) were seen for each of the procedures. Numerous factors that could affect the complexity of surgery and thus OR time were identified. The correlation between BMI and weight and OPT remained significant after controlling for these variables. The differences between the highest and lowest BMI groups were most pronounced for higher complexity procedures, such as lumpectomy with ALND and mastectomy with ALND, with average operating times increasing by 18.2 min and 18.6 min, respectively, for patients with a higher BMI. ConclusionsPatient BMI and weight significantly affect OPT for common breast procedures. Therefore, patient BMI should be taken into account to improve OR scheduling.

Causal Effects of Body Mass Index and Maternal Age on Oocyte Maturation in Assisted Reproductive Technology: Model-Average Causal Effect and Bayesian LASSO Method.

Background:Body Mass Index (BMI) and maternal age are related to various disorders of the female reproductive system. This study aimed to estimate the causal effects of BMI and maternal age on the rate of meta-phase II oocytes (MII) using a new statistical method based on Bayesian LASSO and model averaging.Methods:This investigation was a historical cohort study and data were collected from women who underwent assisted reproductive treatments in Tehran, Iran during 2015 to 2018. Exclusion criteria were gestational surrogacy and donor oocyte. We used a new method based on Bayesian LASSO and model average to capture important confounders.Results:Overall, 536 cycles of 398 women were evaluated. BMI and Age had inverse relationships with the number of MII based on univariate analysis, but after adjusting the effects of other variables, there was just a significant association between age and the number of MII (adjusted incidence rate ratio (aIRR) of age =0.989, 95% CI: [0.979, 0.998], P=0.02). The results of causal inference based on the new presented method showed that the overall effects of age and BMI of all patients were significantly and inversely associated with the number of MII (both P<0.001). Therefore the expected number of MII decreased by 0.99 for an increase of 1 year (95% CI: [−1.00, −0.97]) and decreased by 0.99 for each 1-unit increase in BMI (95% CI: [−1.01, −0.98]).Conclusion:Maternal age and BMI have significant adverse casual effects on the rate of MII in patients undergoing ART when the effects of important confounders were adjusted.

Hepatic steatosis is highly prevalent but is not correlated with stiffness in autoimmune hepatitis.

The prevalence and impact of hepatic steatosis among patients with autoimmune hepatitis (AIH) is not well described.We conducted a cross-sectional study to determine the prevalence of hepatic steatosis in AIH patients and examined its relationship with hepatic fibrosis using vibration controlled transient elastography. Liver stiffness measurement (LSM), controlled attenuation parameter (CAP), gender, current age, and body mass index (BMI) were collected from 277 AIH patients. Hepatic steatosis was defined as CAP >263 db/m.The study participants were mostly female (82%) with an average age of 49 years and BMI 29.7 kg/m2. Mean LSM was 12.5 (standard deviation 13.5) kPa and CAP was 244 (standard deviation 63) db/m. The prevalence of coexisting steatosis was 33.2%, and steatosis did not correlate with LSM (r = 0.05, P = .46). In this study, only gender (females with 31% lower LSM on average compared to males, P = .001) and BMI (each unit increase of BMI resulted in a 1.48% increase on average LSM, P = .01) correlated with LSM. Male gender had significant association with increased LSM, after controlling for age, BMI, and CAP (P = .001).This exploratory study using noninvasive vibration controlled transient elastography revealed hepatic steatosis is highly prevalent in patients with AIH but not associated with liver fibrosis.

Investigating causal relationships between Body Mass Index and risk of atopic dermatitis: a Mendelian randomization analysis

Population studies suggest that atopic dermatitis (AD) is associated with an increased risk of obesity, however a causal relationship between these two conditions remains to be established. We therefore use Mendelian randomization (MR) to evaluate whether obesity and AD are causally interlinked. We used summary statistics extracted from genome wide association studies of Body Mass Index (BMI) and AD. MR analysis was performed in both directions to establish the direction of causality between BMI and AD. We find that genetically determined increase in adiposity is associated with increased risk of AD (odds ratio of AD 1.08 [95% CI 1.01 to 1.14; p = 0.015] per unit increase in BMI). Conversely, genetically determined increased risk of AD is not associated with a higher BMI (change in BMI attributable to AD based on genetic information: 0.00; 95% CI − 0.02 to 0.02; p = 0.862). There was no evidence for confounding of these genetic analyses by horizontal pleiotropy. Our results indicate that the association of AD with obesity is likely to reflect a causal role for adiposity in the development of AD. Our findings enhance understanding of the etiology of AD, and the basis for experimental studies to evaluate the mechanistic pathways by which adiposity promotes AD.

Mother's Own Milk Biomarkers Predict Coming to Volume in Pump-Dependent Mothers of Preterm Infants

To assess serial secretory activation biomarker concentrations (sodium [Na], potassium [K], Na:K, protein, lactose, and citrate) in mother's own milk (MOM) from breast pump-dependent mothers of preterm infants to determine associations with coming to volume (CTV), defined as producing at least 500mL/day MOM by day 14 postpartum. We collected serial MOM samples and pumped MOM volume data for 14days postpartum in mothers who delivered at <33weeks of gestation. Regression models and the Mann-Whitney U test were used to evaluate associations. Among 40 mothers, 39 (mean gestational age, 28.8weeks; 67% overweight/obese; 59% nonwhite) had paired MOM volume and biomarker data; 33% achieved CTV between postpartum days 6 and 14. In univariate models, MOM Na on postpartum day 5 and Na:K on days 3 and 5 were associated with CTV. Mothers achieving CTV were more likely to have postpartum Na:K ≤1 on day 3 (75% vs 25%; P = .06) and ≤0.8 on day 5 (69% vs 10%; P<.01). In a multivariable regression model, day 5 Na:K (1 unit decrease in Na:K: OR, 18.7; 95% CI, 1.13-311.41; P=.049) and maternal prepregnancy body mass index (BMI) (1 unit increase in BMI: OR, 0.88; 95% CI, 0.78-0.99; P=.04) were associated with CTV between postpartum days 6 and14. Secretory activation and CTV were compromised in breast pump-dependent mothers with preterm delivery. CTV was predicted by MOM Na level and Na:K. These biomarkers have potential as objective point-of-care measures to detect potentially modifiable lactation problems in a high-risk population.

Systematic analysis for the relationship between obesity and tuberculosis

ObjectivesUnderweight or low body mass index (BMI) is an established risk factor for active tuberculosis. Recent evidence, however, suggests that overweight is associated with lower incidence of tuberculosis. The objective of this systematic review and meta-analysis is to understand the relationship between obesity and tuberculosis and document the extent of association between the two conditions over the range of BMI from underweight to obesity. MethodsA comprehensive literature search was conducted to identify studies reporting prevalence of the different BMIs in patients with tuberculosis and controls. Thirty studies of adult humans reporting the incidence of tuberculosis at different weight categories were selected for inclusion for meta-analysis in the present study. ResultsIn tuberculosis, the prevalence of underweight was 3-fold higher than that in controls (P = 0.001) whereas the proportion of overweight and obesity was 2-fold lower (P = 0.001). One unit increase in BMI was associated with 2% reduction in tuberculosis incidence (P < 0.001). Adjusted odds ratio of tuberculosis was 4.96 (95% confidence interval: 4.87–5.05) in underweight and 0.26 in obesity. ConclusionThis study further establishes low body weight as a risk factor for tuberculosis whilst overweight and obesity are associated with lower disease risk. Body weight can be considered as a prognostic indictor in the clinical course of tuberculosis.

Abstract 5409: Body mass index, type 2 diabetes, and insulin prescription in adolescents and young adults with cancer

Abstract Rates of obesity and obesity-related health consequences (e.g. type 2 diabetes) continue to rise. Cancer patients have increased risk of developing type 2 diabetes, however the body mass index (BMI), prevalence of type 2 diabetes, and insulin prescriptions specifically among young patients with cancer remains unknown. Purpose: To quantify the prevalence of type 2 diabetes in adolescents and young adults (AYAs) with cancer and determine any associations between BMI, diabetes, and insulin prescription in this population from a single NCI Comprehensive Cancer Center. Patients and methods: Using the Total Cancer Care Study (Huntsman Cancer Institute, Salt Lake City, Utah), we identified individuals ages 18 to 39 years at first primary invasive cancer diagnosis between 2009 and 2018. Clinical and demographic data, including diabetes diagnoses, insulin prescription, and cancer treatment regimens were captured from the Huntsman Cancer Registry and the University of Utah Enterprise Data warehouse. Multinomial logistic regression was used to quantify differences in body mass index (BMI) with insulin prescription within one year of cancer diagnosis. Associations between BMI and insulin prescription were assessed using both unadjusted and adjusted models. Results: A total of 410 AYAs were diagnosed with primary invasive cancer, and 58.3% of AYAs (239/410) were overweight or obese (25+ kg/m2). Additionally, 6.3% of AYA patients were diagnosed with type 2 diabetes and 14.9% received an insulin prescription. Of those AYA patients who received an insulin prescription, over 90% (57/61, 93.4%) were prescribed insulin at or following cancer diagnosis, with over two-thirds of patients (41/57, 71.9%) receiving the prescription within one year of diagnosis. Each kg/m2 unit increase in BMI was associated with a 5% increased risk of insulin prescription within one year of cancer diagnosis (unadjusted odds ratio [OR] 1.05, 95% CI 1.01-1.10; P=0.01). This relationship persisted even after adjustment for age, sex, glucocorticoid use, chemotherapy, surgery, hormone therapy, immunotherapy and radiation therapy (adjusted OR 1.06, 95%CI 1.01-1.10; P=0.009). In the adjusted model, sex and radiation therapy were also independent predictors of being prescribed insulin. AYA men were 2.5-fold more likely to be prescribed insulin compared to women (adjusted OR 2.63, 95% CI 1.29-5.33; P=0.008). Conclusion: Nearly two-thirds of AYAs were overweight or obese, and 1 in every 16 AYAs with cancer had type 2 diabetes. One in seven AYA patients with cancer received a prescription for insulin, and higher BMI was associated with increased risk of insulin prescription within a year of cancer diagnosis. Understanding the impact of type 2 diabetes and insulin use is critical for clinical management and interventions targeted to this population. Citation Format: Richard Viskochil, Andreana N. Holowatyj, Dominik Ose, Benjamin Tingey, Dalton Wilson, Mikaela Larson, Benjamin Haaland, Sara Feltz, Mark Lewis, Howard Colman, Cornelia M. Ulrich. Body mass index, type 2 diabetes, and insulin prescription in adolescents and young adults with cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5409.

Relation of Obesity and Hypertension among Chinese Community in Melaka, Malaysia–A Cross-sectional Study

Introduction: The main cause of overweight and obesity is the imbalance between energy intake and expenditure. Obesity is the abnormal accumulation of ≥20% of body fat, over the individual's ideal body weight. Obesity is diagnosed by measuring the weight in relation to the height of an individual, thereby determining or calculating the body mass index (BMI).&#x0D; Methodology: This study is a cross-sectional study with the secondary data analysis of the health records of the patients who had attended the medical camps conducted in Melaka, Malaysia. All of the attendee’s body weight and height were measured. The blood pressure measurement was done according to the Clinical Practice Guidelines, Ministry of Health, Malaysia. Hypertension is defined as if the participant has systolic blood pressure (SBP) of &gt; 140 mmHg and/ or diastolic blood pressure (DBP) of 90 mmHg or more. Some peoples were taking treatment of Hypertension.&#x0D; Results: The mean SBP among females was 11.64 units and mean DBP was 5.29 units lower compared to male participants. With an increase in age, SBP is expected to increase by .29 units, provided other variables remain unchanged. Regarding to BMI, every unit increase in BMI, SBP increased by 1.99 units and DBP increased by .86 units provided other variables remain unchanged.&#x0D; Conclusion: This study found that BMI is associated with SBP and DBP, which suggested that interventions for bodyweight management might be beneficial for the management of hypertension.

Relationships Between Sport Nutrition Knowledge, Body Composition And Body Weight Goal In Female Soccer Players.

Sport nutrition knowledge may impact the quality of an athlete’s dietary intake. It is currently unknown how sport nutrition knowledge (SNK) influences body composition and what factors may contribute to an athlete’s body weight goal. PURPOSE: To examine relationships between SNK and body composition and identify predictors of body weight goal in female collegiate soccer players. METHODS: Twenty-six Division III female soccer athletes (height: 1.61 ± 0.30 m; body mass: 66.7 ± 7.5 kg; fat-free mass: 50.3 ± 6.5 kg; body fat %: 25.6 ± 5.1%) participated in the current study. All players had body composition assessed using air displacement plethysmography and completed a validated questionnaire designed to assess sport nutrition knowledge. Athletes were also asked questions about perceived dietary requirements and body weight goal. Pearson correlation coefficients were assessed to examine relationships between SNK and body fat percentage (BF %), fat-free mass, fat-mass, body mass (BM), body mass index (BMI), and perceived dietary requirements. Multinomial logistic regression was used to identify predictors of body weight goal. Paired sample t-tests were used to compare differences between calculated and perceived dietary needs. RESULTS: The mean number of questions answered correctly on the SNK questionnaire was 44.5 ± 11.2 %. An inverse relationship was observed between BF % and SNK (r = -0.391; p=0.044). Body mass, BMI and BF % were all significant predictors of body weight goal (p<0.05). For every 1% increase in BF % and 1 kg increase in BM, athletes were 1.3 times more likely to want to lose weight. For every 1 unit increase in BMI, athletes were 2.7 times more likely to want to lose weight. All players significantly underestimated daily energy (-578 ± 104.9 kcal/d, p<0.001) and carbohydrate (-283.7 ± 141.8 g/d, p<0.001) requirements when compared to their calculated required daily intakes. CONCLUSIONS: Division III female collegiate soccer players have a low sport nutrition knowledge base which was associated with a higher BF %. Players who had a higher BM, BF % and BMI were more likely to have weight loss as a body weight goal. Players also significantly underestimated their energy and carbohydrate requirements based on the demands of their sport. Players could likely benefit from a sport nutrition education intervention.

Self-Reported Weight and Height Among Idiopathic Intracranial Hypertension Patients.

Idiopathic intracranial hypertension (IIH) mostly affects overweight and obese women. Severe obesity is associated with poorer visual outcomes in IIH, and weight gain can precipitate IIH and increase the risk of recurrence. Conversely, weight loss can decrease intracranial pressure and is an effective IIH treatment. Therefore, accurate monitoring of weight and body mass index (BMI) is important to help guide the management of IIH patients. Our goal was to compare estimated and measured BMI among patients with presumed IIH and non-IIH controls to determine whether these vital signs should be systematically measured when evaluating patients for IIH. A retrospective chart review was performed of consecutive patients with reported and measured weight and height seen in one ophthalmology-based neuro-ophthalmology clinic for IIH between January 2, 2018 and September 10, 2018. Patients with IIH or presumed IIH were compared to non-IIH controls, matched according to age (±5 years), BMI (±5 kg/m unless ≥40 kg/m), sex, and race. Patients with confirmed IIH were asked to self-report their weight when seen in follow-up and they were weighed to compare their self-reported vs measured percent weight change. We included 379 subjects (140 patients; 239 controls) among whom 75 of the IIH patients were matched to non-IIH controls. Patients with presumed or definite IIH accurately estimated their height and generally underestimated their weight by a median of 1.8 kg (4 lb), resulting in a median BMI underestimate of 0.9 kg/m. There was no difference in BMI underestimation when comparing presumed or definite IIH patients to matched non-IIH controls while controlling for insurance status, smoking, diabetes, and vascular disease (P = 0.66). As BMI increased, all subjects underestimated their BMI more (by 0.9% per 10 measured BMI unit increase), when controlling for age, sex, and race (P < 0.003). Sixteen confirmed IIH patients were seen in follow-up. At initial neuro-ophthalmology consultation, these subjects underestimated their weight by a mean of 3.2%. At last follow-up they underestimated their weight by only 1.2% (P = 0.03). There was no evidence that IIH or presumed IIH patients had a different perception of their weight than non-IIH controls at initial neuro-ophthalmology consultation. Both patients and matched controls tended to underestimate their weight by the same amount, resulting in an overall BMI underestimation of approximately 1% per 10 measured BMI unit increase. Heavier subjects tended to underestimate their body weight and resultant BMI more, and IIH patients tended to estimate their weight more accurately at follow-up. Our results emphasize the need to systematically objectively measure the weight of presumed IIH patients seen in an ophthalmology clinic.

Does a rise in BMI cause an increased risk of diabetes?: Evidence from India.

Overnutrition increases the risk of diabetes. Evidence on the causal impact of overnutrition on diabetes is scarce for India. Considering a representative sample from India, this study examines the causal effect of a rise in the Body Mass Index (BMI) of an individual on the likelihood of being diabetic while addressing the issue of unobserved endogeneity between overnutrition and diabetes. The study considers individual level data from Demographic and Health Surveys (DHS) of India, namely, National Family Health Survey (NFHS) for the year 2015-16. The NFHS is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The survey covers females having age 15-49 years and males having age 15-54 years. The instrument variable approach is used to address the potential endogeneity in the relationship between BMI and diabetes. We instrument BMI of an individual by BMI of a non-biologically related household member. Ordered Probit, Probit and IV-Probit models are estimated using two alternative definitions for measuring diabetes-self-reported diabetes status and blood glucose levels (ordinal measure). The coefficients obtained from the Ordered Probit and Probit models are much smaller than those estimated by an IV-Probit model. The latter estimates the causal impact of a rise in BMI on diabetes by taking into account the effect of the unobserved genetic and other related factors. The likelihood of being diabetic is twice or more among the overweight and obese individuals as compared to non-overweight individuals in all the specifications. With a unit increase in BMI the probability of being diabetic increases by about 1.5% among overweight and obese individuals and by 0.5% among the non-overweight individuals in the IV-Probit model. Similar results from the Ordered Probit model show that on average, the overweight and obese individuals experience about 0.2% increase in the probability of being diabetic and about 0.4% increase in the probability of being prediabetic. Our study demonstrates that the likelihood of being both prediabetic and diabetic is higher among the overweight and obese individuals as compared to the non-overweight individuals. We also find that the level of risk of being prediabetic or diabetic differs across gender, wealth quintiles and regions and the effects are more severe among population in the urban areas, belonging to the richest wealth quintile and men. Our findings have significant implications for the policy formulation as diabetes has a substantial health and economic burden associated with it. Future studies may investigate the effect of abdominal obesity on diabetes.