Body Mass Index In People Research Articles

Trends in body mass index for people with and without HIV: Pooled analysis of nationally-representative health surveys from 10 countries and 173,800 adults in Africa.

It remains unclear if and how body mass index (BMI) levels have changed over time in HIV endemic regions. We described trends in mean BMI and prevalence of overweight between 2003-2019 in 10 countries in Africa including people living with (PLWH) and without (PLWoH) HIV. We pooled Demographic and Health Surveys (DHS) from countries where ≥2 surveys >4 years apart were available with height/weight measurements and HIV tests. HIV status was ascertained with a finger-prick dried blood spot (DBS) specimen tested in a laboratory. The DBS is taken as part of the regular DHS procedures. We summarized age and socioeconomic status standardized sex-specific mean BMI (kg/m2) and prevalence of overweight (BMI ≥25 kg/m2) by HIV status. We fitted country-level meta-regressions to ascertain if changes in ART coverage were correlated with changes in BMI. Before 2011, women LWH (22.9 [95% CI: 22.2-23.6]) and LWoH (22.6 [95% CI: 22.3-22.8]) had similar mean BMI. Over time, mean BMI increased more in women LWH (+0.8 [95% CI: 0.7-0.8] BMI units) than LWoH (+0.2 [95% CI: 0.2-0.3]). Before 2013, the mean BMI was similar between men LWH (21.1 (95% CI: 20.3-21.9)) and LWoH (20.8 (95% CI: 20.6-21.1)). Over time, mean BMI increased more in men LWoH (+0.3 [95% CI: 0.3-0.3]) than LWH (+0.1 [95% CI: 0.1-0.1]). The same profile was observed for prevalence of overweight. ART coverage was not strongly associated with BMI changes. Mean BMI and prevalence of overweight were similar in PLWH and PLWoH, yet in some cases the estimates for PWLH were on track to catch up with those for PLWoH. BMI monitoring programs are warranted in PLWH to address the rising BMI trends.

Children and young people's body mass index measures derived from routine data sources: A national data linkage study in Wales.

Routine monitoring of Body Mass Index (BMI) in general practice, and via national surveillance programmes, is essential for the identification, prevention, and management of unhealthy childhood weight. We examined and compared the presence and representativeness of children and young people's (CYPs) BMI recorded in two routinely collected administrative datasets: general practice electronic health records (GP-BMI) and the Child Measurement Programme for Wales (CMP-BMI), which measures height and weight in 4-5-year-old school children. We also assessed the feasibility of combining GP-BMI and CMP-BMI data for longitudinal analyses. We accessed de-identified population-level GP-BMI data for calendar years 2011 to 2019 for 246,817 CYP, and CMP-BMI measures for 222,772 CYP, held within the Secure Anonymised Information Linkage Databank. We examined the proportion of CYP in Wales with at least one GP-BMI record, its distribution by child socio-demographic characteristics, and trends over time. We compared GP-BMI and CMP-BMI distributions. We quantified the proportion of children with a CMP-BMI measure and a follow-up GP-BMI recorded at an older age and explored the representativeness of these measures. We identified a GP-BMI record in 246,817 (41%) CYP, present in a higher proportion of females (54.2%), infants (20.7%) and adolescents. There was no difference in the deprivation profile of those with a GP-BMI measurement. 31,521 CYP with a CMP-BMI had at least one follow-up GP-BMI; those with a CMP-BMI considered underweight or very overweight were 87% and 70% more likely to have at least one follow-up GP-BMI record respectively compared to those with a healthy weight, as were males and CYP living in the most deprived areas of Wales. Records of childhood weight status extracted from general practice are not representative of the population and are biased with respect to weight status. Linkage of information from the national programme to GP records has the potential to enhance discussions around healthy weight at the point of care but does not provide a representative estimate of population level weight trajectories, essential to provide insights into factors determining a healthy weight gain across the early life course. A second CMP measurement is required in Wales.

The Effects of Olive Oil Consumption on Biochemical Parameters and Body Mass Index of People with Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Nonalcoholic fatty liver disease (NAFLD), the most common chronic liver disorder, is closely associated with insulin resistance, obesity, and metabolic syndromes. A body of research has proposed that olive oil, a basic component of the Mediterranean diet with antioxidant and anti-inflammatory properties, may alleviate metabolic disturbances and retard the progression of NAFLD. We conducted a systematic review and meta-analysis to assess the effectiveness of olive oil intake in people with NAFLD. We systematically searched the major electronic databases (PubMed/MEDLINE, Scopus, Cochrane Central Register of Controlled Trials), as well as grey literature sources, to identify randomized controlled trials (RCTs) investigating the effects of olive oil consumption on biochemical and anthropometric parameters of individuals with NAFLD. The quality of the studies was evaluated using the risk-of-bias tool 2.0 (RoB 2). The mean difference (MD) and the 95% confidence interval (CI) were calculated using fixed-effects and random-effects models. Seven RCTs involving 515 subjects were included in the analysis. In the random-effects model, no statistically significant differences were identified with respect to alanine transaminase (MD = -1.83 IU/L, 95% CI: -5.85, 2.19 IU/L, p = 0.37, I2 = 69%) and aspartate transaminase (MD = -1.65 IU/L, 95% CI: -4.48, 1.17 IU/L, p = 0.25, I2 = 72%) levels or waist circumference values (MD = -0.23 cm, 95% CI: -1.23, 0.76 cm, p = 0.65, I2 = 0%). However, a significant effect on body mass index was observed (MD = -0.57 kg/m2, 95% CI: -1.08, -0.06 kg/m2, p = 0.03, I2 = 51%) for subjects who received olive oil compared to those who received an alternative diet or placebo. The findings of the present meta-analysis suggest a modestly positive impact of olive oil intake on body weight in people with NAFLD.

Trends of HbA1c and BMI in People with Type 2 Diabetes: A Japanese Claims-Based Study.

Obesity prevalence has increased in Japan in recent years. Given the strong association of obesity with poor glycemic control, and increased risk of type 2 diabetes (T2D) with central obesity, this study describes the current trends and relationships between glycated hemoglobin (HbA1c), body mass index (BMI), and waist circumference in the Japanese people with T2D. This was a retrospective, cross-sectional study of people with T2D who had at least one recorded HbA1c and BMI (or waist circumference) value in the Japan Medical Data Center Claims database. Five annual cohorts of the study population were formed between January 2017 and December 2021. Annual trends of HbA1c across BMI categories (obesity class I [≥ 25 ~ < 30kg/m2]-IV [≥ 40kg/m2]) and in people with central obesity (waist circumference: ≥ 85cm in men; ≥ 90cm in women) were described by sex and age groups. Overall, 106,089 people with T2D (HbA1c and BMI data: 106,079; HbA1c and waist circumference data: 105,424) were included, with the majority of people belonging to obesity class I (range: 39.7-40.6%) and obesity class II (range: 16.2-17.7%) categories across all annual cohorts. People in higher BMI categories had higher mean HbA1c, with > 50% of people with T2D in obesity class I-IV (54.8-56.5%) having HbA1c ≥ 7%. Between 2017 and 2021, BMI and waist circumference increased in the age group 18-44years. More than 50% of people with T2D and central obesity in both sexes and people of age group 18-44years across obesity class I-IV or with central obesity had HbA1c ≥ 7%. More than half of the people with T2D belonging to obesity class I-IV or central obesity had poor glycemic control (HbA1c ≥ 7%), especially in the 18-44 age group. This highlights the need for body weight management for better glycemic control in relatively young Japanese people with T2D and obesity.

2 Predictors of Memory Deficits in Patients with Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer’s Disease - Do Disease Severity Moderate the Association?

Objective:Age, sex, education, memory, and the APOE e4 allele are related to Alzheimer’s disease (AD) risk. Recently it was suggested that low body mass index (BMI) contributes to the development of AD. The objective of this study was to examine how delayed recall of a word list was influenced by demographic variables, APOE and BMI in people with memory problems, and to investigate whether the impact of these variables was smaller at higher disease severity levels.Participants and Methods:The participants were 1206 patients in the Norwegian NorCog registry diagnosed with either subjective cognitive decline (SCD) (n=274), mild cognitive impairment (MCI) (n=444), or AD (n=488). ANOVAs and hierarchical regression were applied to examine whether the delayed recall part of the 10-word test of the CERAD-WL was associated with age, sex, education, APOE (e4/non-e4) and BMI. Analyses were run separately for SCD, MCI and AD patients.Results:There were significant bivariate differences (p&lt;.001) between the three patient groups for all variables; the AD patients were older, less educated, more were women, more had APOE e4 alleles, and they had lower BMI. For the SCD group, 34% of the total variance (R2) of the dependent variable was explained. All independent variables except BMI (p=.07) had a significant contribution in the prediction. For MCI, 18% of the total were explained. All variables except education and sex showed significant contribution to R2. For the AD group, R2 was 13%. Sex and BMI did not contribute significantly.Conclusions:As expected, the performance on CERAD-WML was influenced by age, education and sex in the SCD group, whereas the associations between memory function and the three demographic variables were less clear among patients with MCI and AD. ApoE genotype influenced on the CERAD-WML results among all patients, whereas BMI only influenced on the results among patients with SCD and MCI. Our findings do not support that BMI is associated with delayed recall of memory in AD.

The effect of body mass index and preoperative weight loss in people with obesity on postoperative outcomes to 6 months following total hip or knee arthroplasty: a retrospective study

BackgroundFew studies have investigated the association between obesity, preoperative weight loss and postoperative outcomes beyond 30- and 90-days post-arthroplasty. This study investigated whether body mass index (BMI) and preoperative weight loss in people with obesity predict postoperative complications and patient-reported outcomes 6 months following total knee or hip arthroplasty.MethodsTwo independent, prospectively collected datasets of people undergoing primary total knee or hip arthroplasty for osteoarthritis between January 2013 and June 2018 at two public hospitals were merged. First, the sample was grouped into BMI categories, < 35 kg/m2 and ≥ 35 kg/m2. Subgroup analysis was completed separately for hips and knees. Second, a sample of people with BMI ≥ 30 kg/m2 was stratified into participants who did or did not lose ≥ 5% of their baseline weight preoperatively. The presence of postoperative complications, Oxford Hip Score, Oxford Knee Score, EuroQol Visual Analogue Scale and patient-rated improvement 6 months post-surgery were compared using unadjusted and adjusted techniques.ResultsFrom 3,552 and 9,562 patients identified from the datasets, 1,337 were included in the analysis after merging. After adjustment for covariates, there was no difference in postoperative complication rate to 6 months post-surgery according to BMI category (OR 1.0, 95%CI 0.8–1.4, P = 0.8) or preoperative weight loss (OR 1.1, 95%CI 0.7–1.8, P = 0.7). There was no between-group difference according to BMI or preoperative weight change for any patient-reported outcomes 6 months post-surgery.ConclusionPreoperative BMI or a 5% reduction in preoperative BMI in people with obesity was not associated with postoperative outcomes to 6 months following total knee or hip arthroplasty.

The impact of COVID-19 lockdowns on the body mass index of people living with obesity: A UK retrospective cohort study using the UK Clinical Practice Research Datalink

BackgroundRestrictions implemented by governments during the coronavirus disease 2019 (COVID-19) pandemic affected people’s eating habits and physical activity. We investigated the effect of COVID-19 lockdowns and restrictions on body mass index (BMI) and weight in a UK population, according to BMI class, sex, age and ethnicity. MethodsThis retrospective observational cohort study used the Clinical Practice Research Datalink AURUM database. Baseline spanned from 22 March 2017–22 March 2020, and the follow-up lockdown period was from 23 March 2020 (start of the lockdown in the UK) to 13 March 2021. The descriptive analysis included individuals with ≥ 1 valid BMI/weight measurements during both the baseline and follow-up periods, while the model-based analysis comprised individuals with ≥ 1 valid measurement(s) during baseline. Results were stratified by baseline BMI category, sex, age and ethnicity. ResultsIn the descriptive analysis (n = 273,529), most individuals did not change BMI category post-lockdown (66.4–83.3%). A greater proportion of women (12.6%) than men (9.5%) moved up BMI categories post-lockdown. Compared with older groups, a higher proportion of individuals < 45 years old increased post-lockdown BMI category. The model-based analysis (n = 938,150) revealed consistent trends, where changes in body weight and BMI trajectories pre- and post-lockdown were observed for women and for individuals < 45 years. ConclusionDuring COVID-19 restrictions, women and young individuals were more likely than other groups to increase BMI category and weight post-lockdown.

Dysregulated responses to stress and weight in people with type 2 diabetes

ObjectiveDysregulated stress responsivity has been linked with weight gain in healthy samples. However, the relationship between disturbances in stress-related biology and changes in weight in people with type 2 diabetes (T2D) is unclear. MethodA total of 66 participants with T2D underwent laboratory stress-testing in 2011–2012. Cardiovascular, neuroendocrine and inflammatory responses to standardised mental stress were assessed, and Body Mass Index (BMI) was measured. Participants self-reported information on BMI in 2019. Associations between stress-related biological responses and BMI at follow-up were modelled using linear regression adjusting for age, sex, resting biological levels and baseline BMI. ResultsBlunted diastolic blood pressure reactivity (B = −0.092, 95% CI -0.177; −0.007, p = 0.034) as well as poorer systolic blood pressure (B = −0.050, 95% CI -0.084; − 0.017, p = 0.004), diastolic blood pressure (B = −0.068, 95% CI -0.132; −0.004, p = 0.034) and heart rate (B = -0.122, 95% CI -0.015;-0.230, p = 0.027) recovery post-stress were associated with higher BMI 7.5 years later. Greater interleukin-1 receptor antagonist (B = 16.93, 95% CI 6.20; 27.67, p = 0.003) and monocyte chemoattractant protein-1 reactivity (B = 0.04, 95% CI 0.002; 0.084, p = 0.041) were associated with weight gain. No significant associations were detected for interleukin-6 or laboratory cortisol measures. ConclusionDisturbances in stress-related biology may promote weight gain in people with T2D. Research with a larger sample size is required to explore associations between stress responsivity and BMI in people with T2D.

Association of rs9939609 in FTO with BMI among Polynesian peoples living in Aotearoa New Zealand and other Pacific nations.

The fat mass and obesity associated (FTO) locus consistently associates with higher body mass index (BMI) across diverse ancestral groups. However, previous small studies of people of Polynesian ancestries have failed to replicate the association. In this study, we used Bayesian meta-analysis to test rs9939609, the most replicated FTO variant, for association with BMI with a large sample (n = 6095) of Aotearoa New Zealanders of Polynesian (Māori and Pacific) ancestry and of Samoan people living in the Independent State of Samoa and in American Samoa. We did not observe statistically significant association within each separate Polynesian subgroup. Bayesian meta-analysis of the Aotearoa New Zealand Polynesian and Samoan samples resulted in a posterior mean effect size estimate of +0.21 kg/m2, with a 95% credible interval [+0.03 kg/m2, +0.39 kg/m2]. While the Bayes Factor (BF) of 0.77 weakly favors the null, the BF = 1.4 Bayesian support interval is [+0.04, +0.20]. These results suggest that rs9939609 in FTO may have a similar effect on mean BMI in people of Polynesian ancestries as previously observed in other ancestral groups.

Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participants.

Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact. We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations. BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI. We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.

Dependence of «happiness level» in medical students on body weight and time of night sleep

The association between the level of happiness and body mass index, as well as the duration of night sleep in individuals with high and low levels of happiness were investigated. 36 medical students of the 5th year of the Faculty of Medicine were examined, (aged 27–29 years) former nurses and paramedics studying to become doctors. The subjects answered 20 questions on the level of happiness. The time of going to bed and the time of awakening were noted. The body mass index was determined anthropometrically. The range of happiness levels ranged from 41% to 100%. The average level of happiness was 76%. Doctors with a high level of happiness had an average of 87%, and doctors with a low level of happiness – 64%. The majority of people (53%) with a reduced level of happiness slept 4–6 hours, and the majority of people (69%) with a high level of happiness slept 7–8 hours. The body mass index in people with a reduced level of happiness averaged 26.0 kg/m2, and in people with a high level of happiness – 21.7 kg/m2. Lack of sleep (less than 7 hours of night sleep) promotes the accumulation of excess body weight (increases the risk of obesity) and reduces the level of happiness among medical students.

Regional Differences in Added Sweetener Knowledge, Consumption and Body Mass Index in People with HIV in the United States.

This analysis of U.S.-based survey data reports regional differences (Northeast, Midwest, South, and West) in sweetener knowledge, consumption, and body mass index (BMI) among 877 people with HIV (PLWH; median age 54years). BMI was lowest in the West and highest in the Midwest. Respondents in the West reported greater sweetener knowledge than in the Northeast, Midwest, and South. Respondents from the West reported lower sweetener consumption than the Midwest and South. Regional differences in BMI, sweetener knowledge, and consumption were demonstrated. Findings support consideration of regional differences when providing nutrition education.

Diabetes and Familial Hypercholesterolemia: Interplay between Lipid and Glucose Metabolism.

Familial hypercholesterolemia (FH) is a genetic disease characterized by high low-density lipoprotein (LDL) cholesterol (LDL-c) concentrations that increase cardiovascular risk and cause premature death. The most frequent cause of the disease is a mutation in the LDL receptor (LDLR) gene. Diabetes is also associated with an increased risk of cardiovascular disease and mortality. People with FH seem to be protected from developing diabetes, whereas cholesterol-lowering treatments such as statins are associated with an increased risk of the disease. One of the hypotheses to explain this is based on the toxicity of LDL particles on insulin-secreting pancreatic β-cells, and their uptake by the latter, mediated by the LDLR. A healthy lifestyle and a relatively low body mass index in people with FH have also been proposed as explanations. Its association with superimposed diabetes modifies the phenotype of FH, both regarding the lipid profile and cardiovascular risk. However, findings regarding the association and interplay between these two diseases are conflicting. The present review summarizes the existing evidence and discusses knowledge gaps on the matter.

Indian Phenotype Characteristics Among Patients with Type 2 Diabetes Mellitus: Insights from a Non-interventional Nationwide Registry in India.

Background: Indian patients with type 2 diabetes mellitus (T2D) constitute one-sixth of affected adults globally. Here, we evaluate the association of body mass index (BMI) with body fat percentage (BF%) and glycated haemoglobin (HbA1c) levels among patients with T2D in India. Method: This was a cross-sectional Indian registry study across 845 geographically diverse zones between December 2017 and August 2019. Results: Of 37,927 patients, 55.6% were men, with a mean ± standard deviation age of 54.2 ± 11.5 years and HbA1c of 8.3 ± 1.71%. Mean ± standard deviation BMI and BF% were 27.0 ± 4.6 kg/m2 and 32.0 ± 8.0%, respectively. Overall, 15.4% of patients were overweight, and 25.0% were obese. Despite fewer males (20.7%) having BMI-based obesity than females (31.2%), around three-quarters of both sexes had BF%-defined obesity (males 77.2%; females 71.2%). One-third of males (34.6%) and 41.9% of females had BF%-defined obesity despite normal BMI. The association was substantiated by a moderately significant correlation (r=0.51) between BMI and BF% in the overall population (p<0.0001). Conclusion: This pan-India registry presents a real-world reflection of the Asian Indian phenotype: high BF% despite lower BMI in people with T2D. This highlights the importance of primordial and primary prevention, and may guide decisions on the choice of agents for glycaemic control, with a preference for drugs that promote weight loss or are weight neutral.

Using machine learning method for classification body mass index of people for clinical decision

Introduction: Body mass index (BMI) is an acceptable method to measure overweight and obesity among the population. Objectives: The aim of this study was evaluating the application of machine learning algorithms for classifying body mass index for clinical purposes. Patients and Methods: In this descriptive study, we selected the dataset of 1316 people who selected randomly from all area of Ardabil city in Iran. Dataset included demographic and anthropometric data. Classification algorithms such as random forest (RF), Gaussian Naive Bayes (GNB), decision tree (DT), support vector machines (SVM), multi-layer perceptron (MLP), K-nearest neighbors (KNN) and logistic regression (LR) with 10-fold cross-validation were conducted to classify the data based on BMI. The performance of algorithms was evaluated with precision, recall, mean squared errors (MSE) and accuracy indices. All programing done by Python 3.7 in Jupyter Notebook. Results: According to the BMI, 603(45.8%) of all samples were normal and 713 (54.2%) were at-risk. The precision of RF, GNB, DT, SVM, MLP, KNN and LR for people at risk were 0.93, 0.86, 0.99, 0.82, 100, 0.82 and 0.99 respectively. Additionally, the accuracy of RF, GNB, DT, SVM, MLP, KNN and LR were 95%, 83%, 100%, 82%, 100%, 82% and 100 %. Conclusion: The comparison of the classifying algorithms showed that, the LR, MLP and DT had the higher accuracy than the other algorithms in detecting of people at-risk.

Impact of Telenursing on Blood Pressure and Body Mass Index of People with Prehypertension: A Randomized Controlled Clinical Trial.

Background:Prehypertension is an important global health challenge. This study determines the effect of telenursing on Blood Pressure (BP) and Body Mass Index (BMI) in patients with prehypertension.Materials and Methods:This randomized controlled clinical trial study included 81 patients with prehypertension discharged from an emergency room at Isfahan University of Medical Sciences (Iran) in 2016. Participants joined a session about hypertension, risk factors, and lifestyle modification to reduce its risk. Using a random number table, 41 subjects were assigned to the experimental group and 40 subjects to the control group. Only the experimental group received four SMS messages each week and a 10–15 min phone call once a month to help them change their lifestyle and reinforce their health behaviors. Eventually, patients' information was collected, and the data were analyzed using independent t, paired t, and Chi-square tests.Results:The experimental group after the intervention had a significantly lower mean (Standard Deviation [SD]) of Systolic Blood Pressure (SBP) (from 126.67 [5.15] to 119.21 [5.72] [t40 = 8.40, p < 0.001]) and Diastolic Blood Pressure (DBP) [from 85.28 (2.29) to 78.79 (4.16) (t40 = 10.02, p < 0.001)]. However, the same means were not significantly different in the control group [SBP (p = 0.116) and DBP (p = 0.096)]. The mean (SD) of changes between BMI before and after the intervention was -0.75 (0.66) in the experimental and 0.042 (0.41) in the control group, which was significantly different between the two groups (t79= –6.44, p < 0.001).Conclusions:Telenursing can have potential benefits to maintain BP within the normal range and reduce BMI in patients with prehypertension.

Body mass index (BMI) and obesity in Nigerians with schizophrenia

Background Few Nigerian studies have examined BMI in people with schizophrenia. The aims of the present study were to assess the prevalence and distribution of obesity in Nigerians with schizophrenia and to examine the clinical correlates of BMI and obesity. Methods A total of 207 people with schizophrenia met the inclusion criteria and were evaluated for BMI.The Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HDRS), Social and Occupational Functioning Assessment Scale (SOFAS) were rated for all participants. Anthropometric measures such as weight and height were taken using a standard protocol. Results The prevalence of obesity was 12.6%. The non-obese participants were made up of underweight 24 (11.7%), normal weight 118 (57%) and overweight 38 (18.4%). Compared to non-obese participants, obese participants were older, more educated, more likely to be employed, had higher incomes, lower PANSS score (negative subscale), had fewer female participants, and better social and occupational functioning (p < 0.05). BMI was positively correlated with age and monthly income. In the adjusted model, age, gender and education were independently associated with obesity while only age was associated with BMI. Conclusion The present study suggests that unlike in high-income countries, obese patients with schizophrenia in Nigeria have better social and psychological functioning than non-obese patients.

Metformin and health outcomes: An umbrella review of systematic reviews with meta-analyses.

The objective was to capture the breadth of outcomes that have been associated with metformin use and to systematically assess the quality, strength and credibility of these associations using the umbrella review methodology. Four major databases were searched until 31 May 2020. Meta-analyses of observational studies and meta-analyses of randomized controlled trials (RCTs) (including active and placebo control arms) were included. From 175 eligible publications, we identified 427 different meta-analyses, including 167 meta-analyses of observational studies, 147 meta-analyses of RCTs for metformin vs placebo/no treatment and 113 meta-analyses of RCTs for metformin vs active medications. There was no association classified as convincing or highly suggestive from meta-analyses of observational studies, but some suggestive/weak associations of metformin use with a lower mortality risk of CVD and cancer. In meta-analyses of RCTs, metformin was associated with a lower incidence of diabetes in people with prediabetes or no diabetes at baseline; lower ovarian hyperstimulation syndrome incidence (in women in controlled ovarian stimulation); higher success for clinical pregnancy rate in poly-cystic ovary syndrome (PCOS); and significant reduction in body mass index in people with type 1 diabetes mellitus, in women who have obesity/overweight with PCOS and in obese/overweight women. Of 175 publications, 166 scored as low or critically low quality per AMSTAR 2 criteria. Observational evidence on metformin seems largely unreliable. Randomized evidence shows benefits for preventing diabetes and in some gynaecological and obstetrical settings. However, almost all meta-analyses are of low or critically low quality according to AMSTAR 2 criteria.

Can vitamin E supplementation affect obesity indices? A systematic review and meta-analysis of twenty-four randomized controlled trials

Several mechanisms have been proposed for the effect of vitamin E on weight loss. Yet various interventional studies with wide ranges of doses and durations have reported contradictory results. Cochrane Library, PubMed, Scopus, and Embase databases were searched up to December 2020. Meta-analysis was performed using random-effect method. Effect size was presented as weighted mean difference (WMD) and 95% confidence interval (CI). Heterogeneity was evaluated using the I2 index. In order to identification of potential sources of heterogeneity, predefined subgroup and meta regression analyses was conducted. A total of 24 studies with 33 data sets were included. There was no significant effect of vitamin E on weight (WMD: 0.15, 95% CI:-1.35 to 1.65, P=0.847), body mass index (BMI) (WMD=0.04, 95% CI:-0.29 to 0.37, P=0.815), and waist circumference (WC) (WMD=-0.19kg, 95% CI:-2.06 to 1.68, P=0.842), respectively. However, subgroup analysis revealed that vitamin E supplementation in studies conducted on participants with normal BMI (18.5-24.9) had increasing impact on BMI (P=0.047). There was no significant effect of vitamin E supplementation on weight, BMI and WC. However, vitamin E supplementation might be associated with increasing BMI in people with normal BMI (18.5-24.9).

The relationship of the development of motor skills and socioeconomic status of family with BMI of children with autism disorder

Background and Study Aim. This study aims to examine the relationship between the development of motor skills and the socio-economic status of families with body mass index (BMI) of children with autism disorder.&#x0D; Material and Methods. To this end, 68 children with autism at the age range of 6-13 years old were selected for the study. Their parents completed Family Socioeconomic Status Questionnaire. The motor skills level of children was measured by the Movement Assessment Battery for Children (MABC). The height and weight of children were measured to calculate their BMI. &#x0D; Results. The results of the Pearson correlation test showed that there is a significant and negative relationship between the development of motor skills and the socioeconomic status of families with BMI of children with autism. The results of the linear regression test also indicated that motor development and family socioeconomic status are predictors of BMI in people with autism (P&lt;0.05). &#x0D; Conclusions. It is concluded that the socioeconomic status of the family and the motor development of children with autism are the determinants of their overweight and obesity and these factors should be considered in the interventions for children and families.