BMI Measurements Research Articles

BMI shift and associated cardiometabolic risk factors in people with type 2 diabetes and obesity and/or overweight: a post hoc analysis from SURMOUNT-2

Abstract In SURMOUNT-2 (SM-2), treatment with once weekly GIP and GLP-1 receptor agonist tirzepatide (TZP) resulted in superior body weight reductions relative to placebo in people living with obesity and T2D. This post hoc analysis assessed whether participants with obesity (body mass index [BMI] ≥30 kg/m2) or overweight (BMI ≥27 kg/m2 with at least one weight-related comorbid condition) who shifted to a lower BMI category had improved cardiometabolic factors. Change in BMI category (<25 kg/m2, 25 to <30 kg/m2, 30 to <35 kg/m2, 35 to <40 kg/m2, and ≥40 kg/m2) from baseline to week 72 was assessed in participants from SM-2 treated with TZP 10 or 15 mg (N=623) or placebo (PBO)(N=315). BMI shifts were grouped into "improved" (shift to lower BMI category) or "non-improved" (stable or shift to a higher BMI category). Cardiometabolic parameters examined included waist circumference, fasting insulin, fasting glucose, HbA1c, blood pressure, and lipid profile. A mixed model with repeated measures was performed to estimate the mean change from baseline to week 72 for these parameters. In this post hoc analysis a total of 484 (52.1%) participants had improved BMI at week 72. For those whose BMI did not improve, most had stable BMI and only 11 (1.2%) had worsened BMI. Nine participants had no post-baseline BMI measurements and were excluded from analysis. Most participants demonstrated improved BMI with TZP treatment (N=418, 67%) vs PBO (N=66, 21%)(Table). Furthermore, 21% (N=129) of participants on TZP improved by ≥2 BMI categories compared to only 1 participant with PBO. Compared to those with non-improved BMI, participants with improved BMI demonstrated greater improvement in cardiometabolic risk factors, including decreases from baseline in waist circumference, fasting insulin, fasting glucose, HbA1c, systolic and diastolic blood pressure, triglycerides, and cholesterol (non-HDL-c, and LDL-c) and increases from baseline in HDL-c (Figure). Greater improvements to cardiometabolic risk factors were seen in participants on TZP vs PBO. Shifts to lower BMI categories were greater among TZP-treated people living with obesity or overweight and T2D in SM-2 and were associated with improved cardiometabolic risk factors, in this post hoc analysis. SURMOUNT-mortality and morbidity and cardiovascular outcome trials are ongoing to examine the impact of TZP treatment on CVD and mortality.

The Association between a Recorded Diagnosis of Obesity and Clinically Significant Weight Loss in the Primary Care Setting: A Nationwide Registry.

Overweight and obesity (OW/OB) are underdiagnosed. The primary aim was to assess whether a diagnosis of OW/OB recorded by a primary care physician (PCP) is associated with clinically significant weight loss, compared to a missed diagnosis. The secondary aim was to investigate the association between OW/OB diagnosis and patient attendance at dietary consultations. This retrospective, observational cohort study was conducted using a nationwide healthcare database. The study included a random sample of 200 000 adults with BMI ≥ 25 kg/m2, recorded on a primary care visit, between 2014-2020. Patients with prior diagnosis of OW/OB or obesity-related complications were excluded. The independent variable was OW/OB diagnosis recorded by the PCP immediately after BMI measurement. The outcome variable was ≥5% weight loss at a second weight measurement within 9-15 months. Multivariate regression analysis was applied. Of the 200 00 people with OW/OB, 36 033 (18.0%) had a diagnosis of OW/OB, and 37 368 (18.7%) had a second body weight measurement, of which 7 635 (20.4%) lost ≥5% of their baseline body weight. The prescription rate of anti-obesity medication was 1.2% and did not differ between patients who achieved weight loss and those who did not. Those with a recorded diagnosis were 2.6 times more likely to visit a dietitian (OR 2.57, 95%CI 2.56-2.64) and 2.5 times more likely to achieve weight loss (OR 2.53, 95%CI 2.46-2.60). After adjusting for multiple confounders, including attendance at dietary consultation, people who received OW/OB diagnosis were 32% more likely to achieve weight loss (OR 1.32 95% CI 1.28-1.36, p<0.001) compared to people with missed diagnosis. Recording a diagnosis of obesity among relatively healthy people is associated with clinically significant weight loss at 1 year follow up, independent of attendance at dietary consultation. Early obesity diagnosis is a significant opportunity to promote weight loss in the primary care setting and may affect weight trajectory.

Recorded diagnosis of overweight/obesity in primary care is linked to obesity care performance rates.

Periodical BMI measurement during visits with primary care pediatricians (PCP) can be central to diagnosing, managing, and treating overweight/obesity. The aim was to evaluate among children and adolescents with similar BMI percentiles, whether recording a formal diagnosis by PCP, of overweight/obesity is associated with improved performance rates of obesity-related care. The electronic database of the largest health maintenance organization in Israel was searched for all patients aged 2-18 years with BMI recorded at a visit with the PCP during 2017-2023. Among children with BMI percentiles consistent with overweight/obesity, performance rates of obesity care were compared between those with a recorded diagnosis of "overweight"/"obesity" placed by the PCP, and those with similar BMI percentiles without these recorded diagnoses. Among children with versus without recorded diagnoses of overweight/ obesity, rates were higher of referrals for screening measurements for obesity-related comorbidities, for dietitian and endocrine counseling, of performing subsequent BMI measurements, and of prescribing anti-obesity medications (p < 0.001 for all). Obesity-related comorbidities were more prevalent among those with than without recorded diagnoses (P < 0.001). Beyond BMI measurement, a recorded diagnosis of overweight/obesity by a PCP is linked to higher rates of obesity care performance and interventions, which may improve clinical outcomes. BMI measurement during visits with primary care pediatricians (PCP) can be central to diagnosing, managing, and treating overweight/obesity. We evaluated among children and adolescents with similar BMI percentiles, whether recording a formal diagnosis by PCP, of overweight/obesity is associated with improved performance rates of obesity-related care. We found that among children with versus without recorded diagnoses of overweight/obesity, rates were higher of referrals for screening measurements for obesity-related comorbidities, for dietitian and endocrine counseling, and of prescribing anti-obesity medications. Therefore, PCP should increase rates of recording diagnoses of overweight/obesity, to promote screening for obesity-related comorbidities, and aim to treat obesity as a chronic disease.

Gestational exposure to organophosphate ester flame retardants and risk of childhood obesity in the environmental influences on child health outcomes consortium

Introduction: Organophosphate esters (OPEs) are increasing in use as flame retardants and plasticizers and concerns have been raised given their endocrine-disrupting activities and possible obesogenic consequences. However, longitudinal studies on gestational OPE exposure and childhood obesity are scarce. This study examined whether OPE levels in maternal urine during pregnancy were associated with the risk of childhood obesity. Methods: OPEs were analyzed in pregnancy urine samples of 5,087 individuals from 14 studies contributing to the Environmental influences on Child Health Outcomes (ECHO) Cohort. BDCPP, DBUP/DIBP, and DPHP, detected in > 80 % of the samples, were modeled continuously and by tertiles; whereas BCPP, BBOEP, and BCETP, detected in 50–80 % of samples, were modeled categorically (not-detected, low, and high). Childhood obesity was defined by BMI z-score ≥ 95th percentile according to WHO (<2 years) and the CDC (≥2 years) metrics. Adjusted modified Poisson regression models assessed childhood obesity risk and the mixture effect was assessed using Bayesian kernel machine regression (BKMR). Results: BMI measurements were available for 3,827 children in infancy (0.5–1.9 years), 3,921 children in early childhood (2.0–4.9 years), and 2,541 children in mid-childhood (5.0–10.0 years). Obesity was present in 16–21 % of children across age groups. In mid-childhood DBUP/DIBP second and third versus first tertiles were associated with increased obesity risk (RR 1.14; 95 % CI: 1.02, 1.28; and RR 1.11; 95 % CI: 0.97, 1.27; respectively); whereas BDCPP second and third versus first tertiles reflected an inverse association with obesity risk (RR 0.85; 95 % CI: 0.80, 0.91 and RR 0.91; 95 % CI: 0.77, 1.07; respectively). No association with obesity risk was observed for DPHP, BCPP, BBOEP, and BCETP. Directions observed were consistent with those seen in BKMR models. Conclusions: This study identified mixed associations between gestational OPE exposure and childhood obesity. Further investigation across a comprehensive range of OPE exposures is warranted.

An evaluation of sleep quality and nutritional status in nurses with different chronotypes

This study was conducted to investigate the effect of shift work on the sleep quality and nutritional status of nurses with different chronotypes. The study was designed to include 21 people from each chronotype and was completed with 60 participants. The participants were asked to record their food consumption during three different types of shifts they worked over a period of three days. We found that the Pittsburgh Sleep Quality Index (PSQI) score of the evening types was higher than that of the morning types (p < 0.05). The evening types had significantly higher weight, BMI, waist circumference, hip circumference, waist-to-height ratio and neck circumference measurements than the morning types (p < 0.05). The daily energy, fat and SFA intakes of the morning types were significantly higher for those working 16:00–08:00 and 08:00–08:00 compared to those working 08:00–16:00 (p < 0.05). The highest carbohydrate intake was between 08:00–08:00. The amount of carbohydrate, energy and SFA consumed by the intermediate types between 08:00 and 08:00 was significantly higher than that consumed between 08:00 and 16:00. Chronotype and shift hours should also be taken into account when developing nutrition plans for participants who work shifts.

The Relationship Between BMI And Skinfold Measurements In High-intensity Functional Training Athletes

The Relationship Between BMI And Skinfold Measurements In High-intensity Functional Training Athletes

Impact of Isotretinoin on Blood Lipids and Liver Enzymes: A Retrospective Cohort Study in Saudi Arabia.

Isotretinoin is an effective treatment for acne but can cause side effects such as changes in blood lipids and liver enzymes. Laboratory monitoring is essential during treatment, but there is variation in monitoring practices. This study aims to investigate the relationship between isotretinoin therapy and its effects on complete blood count in Saudi Arabia to improve patient outcomes. The study was a retrospective cohort study conducted at King Khalid University Hospital in Riyadh, Saudi Arabia, between January 2016 and December 2020. Following the inclusion and exclusion criteria, 515 patients were randomly selected for the study. The data was analyzed using SPSS, and descriptive statistics and paired samples t-tests were employed to analyze the data. In this study, 515 patients were enrolled. Of these participants, 76.7% (n=395) were females and 23.3% (n=120) were males. The mean age of the study participants was 23.98±7.4 years and ranged between 16 and 65 years. The mean dose of Isotretinoin administered was 27.65±9.6 mg/day, with a range of 10-60 mg/day. The mean BMI of the study participants was 24.3±4.1 kg/m2, ranging from 14.3 to 44.8 kg/m2. Regarding the effect of Isotretinoin on laboratory measures, significant statistical differences were found in hemoglobin measurements (t=-3.379, p=0.001), platelets (t=-3.169, p=0.002), neutrophils (%) (t=3.107, p=0.002), total cholesterol (t=-13.017, p=0.000), AST (t=-6.353, p=0.000), ALT (t=-4.352, p=0.000), HDL (t=2.446, p=0.015), and LDL (t=-12.943, p=0.000). However, there were no significant statistical differences in the measurements of WBC, neutrophils (count), or triglycerides. In the Chi-square analysis and Fisher's Exact test to identify the interaction between BMI, dose, and gender on abnormal lab results, significant interaction was found between participants' BMI and abnormal HDL measurements (p=0.006). Furthermore, there were significant interactions between Isotretinoin dose (either less than 30 mg/day or 30 mg/day or more) and abnormal neutrophil count (p=0.04), abnormal HDL measurements (p=0.010), and abnormal triglycerides measurements (p=0.020). Moreover, a statistically significant interaction was found between participants' gender and abnormal hemoglobin measurements (p=0.006), abnormal total cholesterol (p=0.016), abnormal AST measurements (p=0.001), abnormal ALT measurements (p=0.000), abnormal HDL measurements (p=0.000), and abnormal triglycerides measurements (p=0.007). In conclusion, the study found that isotretinoin therapy has significant effects on several laboratory measures, including hemoglobin, platelets, neutrophils, total cholesterol, AST, ALT, HDL, and LDL. The study also revealed significant interactions between BMI, dose, gender, and abnormal lab results.

Ten-year progression of obesity-related complications in a population with overweight and obesity in the UK: A retrospective open cohort study.

To assess the prevalence of individual obesity-related complications (ORCs) and multimorbidity (≥ 1, ≥ 2 and ≥ 3 ORCs), and multimorbidity-associated healthcare costs, over 10 years. This retrospective open cohort study used Discover, a UK database of linked primary and secondary electronic health records. Adults were stratified by body mass index (BMI; overweight: 25-< 30 kg/m2; obesity class I: 30-< 35 kg/m2; obesity class II: 35-< 40 kg/m2; obesity class III: ≥ 40 kg/m2). Outcomes by year since baseline were assessed for serial cross sections across the study period (1 January 2004 to 31 December 2019; the index date was the date of first eligible BMI measurement). Across 1 410 146 individuals (overweight: 1 008 101; obesity class I: 278 782; obesity class II: 80 621; obesity class III: 42 642), ORC prevalence was higher in successive BMI groups, and increases over time were generally greater for obesity relative to overweight. In those with ORC multimorbidity, both higher BMI and the presence of more ORCs were associated with higher annual per-person healthcare costs. Costs increased over time in those individuals with obesity and one or more ORC, as well as in those with obesity and two or more ORCs. Higher BMI was associated with higher baseline ORC prevalence and a greater increase in ORC prevalence over time, and with higher healthcare costs in those with multimorbidity. To reduce the burden of overweight and obesity on patients and healthcare systems, the presence, number and type of ORCs should be considered in developing effective, targeted prevention and management care pathways.

Length of hospital stay and associated factors among adult surgical patients admitted to surgical wards in Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia.

Hospitals across the country are facing increases in hospital length of stay ranging from 2% to 14%. This results in patients who stay in hospital for long periods of time being three times more likely to die in hospital. Therefore, identifying factors that contribute to longer hospital stays enhances the ability to improve services and quality of patient care. However, there is limited documented evidence on factors associated with longer hospital stays among surgical inpatients in Ethiopia and the study area. This study aimed to assess the length of hospital stay and associated factors among adult surgical patients admitted to surgical wards in Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia, 2023. An institutional-based cross-sectional study was conducted among 452 adult surgical patients from April 17 to May 22, 2023. Data were collected based on a pretested, structured, interviewer-administered questionnaire, medical record review, and direct measurement of BMI. Study participants were selected using a systematic random sampling technique. The collected data were cleaned, entered into EpiData version 4.6.0 and exported to STATA version 14 for analysis. Binary logistic regression analysis was used. Variables with a p value <0.05 in the multivariable logistic regression analysis were considered statistically significant. In the current study, the prevalence of prolonged hospital stay was 26.5% (95% CI: 22.7, 30.8). Patients referred from another public health facility (AOR = 2.65; 95% CI: 1.14, 6.14), hospital-acquired pneumonia (AOR = 3.64; 95% CI: 1.43, 9.23), duration of surgery ≥110 minutes (AOR = 2.54; 95% CI: 1.25, 5.16), being underweight (AOR = 5.21; 95%CI: 2.63, 10.33) and preoperative anemia (AOR = 3.22; 95% CI: 1.77, 5.86) were factors associated with prolonged hospital stays. This study found a significant proportion of prolonged hospital stays among patients admitted to surgical wards. Patients referred from another public health facility, preoperative anemia, underweight, duration of surgery ≥110 minutes, and hospital-acquired pneumonia were factors associated with prolonged hospital stay. Early screening and treatment of anemia and malnutrition before surgery can shorten the length of stay.

Individual and combined effects of famine exposure and obesity parameters on type 2 diabetes in middle-aged and older adults: A population-based cross-sectional study.

Malnutrition early in life may have adverse effects on health later in life. The relationship between malnutrition and obesity parameters (body mass index [BMI] and waist circumference [WC]) and type 2 diabetes is inconsistent. This study aimed to identify the effects of famine exposure and obesity parameters on type 2 diabetes individually or in combination among middle-aged and older adults in China. Data were extracted from the China Health and Retirement Longitudinal Study Wave1 in 2011. The sample involved 13,065 adults aged 45 to 90. The t- or F test was employed to compare age among groups. The chi-square test was utilized to compare baseline characteristics according to the categorical WC levels/BMI levels/famine exposure and examine between-group differences in type 2 diabetes (diabetes and non-diabetes). Odds ratio (OR) and 95% confidence interval (CI) were estimated by logistic regression models to estimate the individual and combined associations of BMI/WC levels and famine exposure with the prevalence of type 2 diabetes. In this study, 1559 (11.93%) individuals were exposed to Chinese famine during their fetal stage, 5132 (39.28%) and 4428 (33.89%) in childhood and adolescence/adulthood, respectively. Among BMI measurements, 3780 (28.93%) were overweight, and 1487 (11.38%) were obese, whereas WC measurements showed that 5408 (41.39%) were obesity. In addition, 831 (45.48%) males and 996 (54.52%) females reported type 2 diabetes. In multivariable-adjusted regression models, obesity parameters and famine exposure were independently associated with type 2 diabetes prevalence among all participants (P < .001). In the interaction analysis, there existed a trend of higher odds for prevalence of type 2 diabetes across all groups compared to the combination of no-exposed and normal BMI/WC level group (the most increase in odds, adolescence/adulthood-exposed group with central obesity in WC levels: OR 4.51 (95% CI = 3.42-5.95); adolescence/adulthood-exposed group with obesity in BMI levels: OR 5.84 (95% CI = 4.11-8.30; P for interaction <.001). The findings for females exhibited similar to the overall participants, when by gender stratification. Our results suggest famine exposure and obesity parameters have positive combined effects on type 2 diabetes in middle-aged and older adults in China.

The Effect of Plyometric Training on Biomotoric Characteristics of 10-13 Age Taekwondo Athletes

The aim of the study is to investigate the effect of plyometric training on the biomotoric characteristics of 10-12-year-old taekwondo athletes. The control group of taekwondo athletes in the 10-13 age category in Isparta province, 5 male, 7 female, total 12, and the experimental group of 7 male, 6 female, total 13 competitive athletes participated in the study by obtaining 'parental information and consent form'. The experimental group in the study received regular plyometric training in addition to routine taekwondo training for 8 weeks, while the control group continued their routine taekwondo training programs. In the study, pre-test measurements were taken before the athletes started their training programs and post-test measurements were taken after the 8th week of the training programs were completed. Height and body weight measurements, BMI measurements, jump test, filamingo balance test, sit-reach-extend flexibility test, right and left hand grip test, leg strength test, back strength test, 20 meter sprint test and 20 meter shuttle run (Max.VO2) tests were applied to the athletes. Statistical package program was used to evaluate the statistical analyses of the study. In our study, age and gender frequency values and descriptive statistics values of age, height, weight, BMI and sport age of taekwondo athletes in the control group and experimental group were presented in tables. Paired Samples t-Tests were used to compare the pre-test and post-test values of weight, BMI, and biomotoric measurement test values of taekwondo athletes within groups, and One-Way ANOVA tests were used to compare the pre-test and post-test values between groups. As a result, it was determined that plyometric training with a taekwondo theme caused a significant improvement in the physical and biomotoric characteristics of the athletes. In this regard, it is believed that the training and competition performances of the athletes will also improve at a certain level.

Adult patients with Laron syndrome tend to develop the metabolic syndrome

BackgroundThe metabolic Syndrome is the name of a cluster of abnormal clinical and metabolic states, which constitute a risk factor for diabetes and cardiovascular disease. AimTo determine whether adult patients with Laron Syndrome with excessive obesity develop the characteristics of the Metabolic Syndrome. SubjectsOut of a cohort of adult patients with Laron Syndrome followed in our clinic, records of 23 patients (12 females, 11 males) were found to have sufficient data for analysis. MethodsThe degree of obesity was determined by the measurement of subscapular skinfold thickness (SSFT), BMI and total body DEXA. NAFLD was determined by liver ultrasonography, serum lipids including adiponectin leptin, insulin and glucose were assessed by radioimmunoassay. ResultsBoth female and male patients were markedly obese with 59% and 39% fat of the total body mass respectively, as were total and LDL cholesterol, triglycerides and adiponectin. Some had developed NAFLD. They also suffered from insulin resistance and glucose intolerance. Eleven patients (3 females, 8 males) developed diabetes. All had varying degrees of hypertension. Eight subjects (3 females, 5 males) suffered from cardiovascular disease. One female died at aged 53 years, and two males died at ages 75 and 78 years. ConclusionWith advancing age and increasing obesity, adult patients with Laron Syndrome developed the characteristics of Metabolic Syndrome including diabetes and cardiovascular disease.

Systematic nutritional screening and assessment in older patients: Rationale for its integration into oncology practice

As the global population ages, so does the number of older people being diagnosed, treated and surviving cancer. Challenges to providing appropriate healthcare management stem from the heterogeneity common in this population. Although malnutrition is highly prevalent in older people with cancer, ranging between 30 % and 80 % according to some analyses, is associated with frailty, and has been shown to be a major risk factor for poor treatment response and worse overall survival, addressing nutrition status is not always a priority among oncology healthcare providers. Evaluation of nutritional status is a two-step process: screening identifies risk factors for reduced nutritional intake and deficits that require more in-depth assessment. Screening activities can be as simple as taking weight and BMI measurements or using short nutritional questionnaires and asking the patient about unintentional weight loss to identify potential nutritional risk. Using geriatric assessment, deficits in the nutritional domain as well as in others reveal potentially reversible geriatric and medical problems to guide specific therapeutic interventions. The authors of this paper are experts in the fields of geriatric medicine, oncology, and nutrition science and believe that there is not only substantial evidence to support regularly performing screening and assessment of nutritional status in older patients with cancer, but that these measures lead to the planning and implementation of patient-centered approaches to nutrition management and thus enhanced geriatric-oncology care. This paper presents rationale for systematic nutrition screening and assessment in older adults with cancer.

Personality traits and co-occurrence of depressive symptoms and high BMI: a prospective cohort study.

We assess the associations between personality traits and co-occurrence of depressive symptoms and high BMI from adolescence to early adulthood. We employed a nationally representative cohort in China from 2010 to 2020 year. We included adolescents aged 10-19 years without depressive symptoms and unhealthy weight status (obesity, overweight, or thinness) at baseline and excluded those without any measurement of depressive symptoms or BMI at follow-ups. We assessed baseline personality traits in 7 dimensions of conscientiousness, openness, neuroticism, agreeableness, extraversion, self-esteem, and responsibility. We also assessed the combined effects of these 7 dimensions of personality traits by generating individual-level personality trait risk scores based on the weighted sum of all these 7 dimensions of personality traits. We measured the co-occurrence of depressive symptoms and high BMI using both a single measurement of depressive symptoms and BMI at the last follow-up and repeated measurements of them over 10 years. We used the multinomial logistic regression models to examine the exposure-outcome associations. At baseline, we included 1778 individuals (mean age: 14.4 year; female: 853 (48.0%)). At follow-ups, we observed increased risk of co-occurrence of depressive symptoms and high BMI per 1-SD increase in neuroticism score (1.95-2.38 odds ratio) or 1-SD decrease in self-esteem and conscientiousness (0.63-0.80 odds ratio; all P values < 0.05); we observed no evidence of associations between openness, agreeableness, extraversion, or responsibility and the risk of co-occurrence of depressive symptoms and high BMI (all P values > 0.05). For the combined effects of the 7 dimensions of personality traits, we found an elevated risk of co-occurrence of depressive symptoms and high BMI per 1-SD increase in the personality trait risk scores (OR (95% CI), single measurement at the last follow-up: 2.01, 1.66 to 2.43; trajectory classification using the repeated measurements 2.30, 1.55 to 3.42; average level using the repeated measurements: 2.27, 1.93 to 2.67). In this national cohort in China, personality traits were found to be associated with the co-occurrence of depressive symptoms and high BMI from adolescence to early adulthood. These findings highlight the importance of stratifying individuals based on their personality traits and providing targeted interventions for those at risk of comorbid depression and obesity.

Trajectories of BMI before and after diagnosis of type 2 diabetes in a real-world population.

Few studies have examined the clinical characteristics associated with changes in weight before and after diagnosis of type 2 diabetes. Using a large real-world cohort, we derived trajectories of BMI before and after diabetes diagnosis, and examined the clinical characteristics associated with these trajectories, including assessing the impact of pre-diagnosis weight change on post-diagnosis weight change. We performed an observational cohort study using electronic medical records from individuals in the Scottish Care Information Diabetes Collaboration database. Two trajectories were calculated, based on observed BMI measurements between 3 years and 6 months before diagnosis and between 1 and 5 years after diagnosis. In the post-diagnosis trajectory, each BMI measurement was time-dependently adjusted for the effects of diabetes medications and HbA1c change. A total of 2736 individuals were included in the study. There was a pattern of pre-diagnosis weight gain, with 1944 individuals (71%) gaining weight overall, and 875 (32%) gaining more than 0.5 kg/m2 per year. This was followed by a pattern of weight loss after diagnosis, with 1722 individuals (63%) losing weight. Younger age and greater social deprivation were associated with increased weight gain before diagnosis. Pre-diagnosis weight change was unrelated to post-diagnosis weight change, but post-diagnosis weight loss was associated with older age, female sex, higher BMI, higher HbA1c and weight gain during the peri-diagnosis period. When considering the peri-diagnostic period (defined as from 6 months before to 12 months after diagnosis), we identified 986 (36%) individuals who had a high HbA1c at diagnosis but who lost weight rapidly and were most aggressively treated at 1 year; this subgroup had the best glycaemic control at 5 years. Average weight increases before diagnosis and decreases after diagnosis; however, there were significant differences across the population in terms of weight changes. Younger individuals gained weight pre-diagnosis, but, in older individuals, type 2 diabetes is less associated with weight gain, consistent with other drivers for diabetes aetiology in older adults. We have identified a substantial group of individuals who have a rapid deterioration in glycaemic control, together with weight loss, around the time of diagnosis, and who subsequently stabilise, suggesting that a high HbA1c at diagnosis is not inevitably associated with a poor outcome and may be driven by reversible glucose toxicity.

The ratio of Obesity and Associated Factors amongRamna Park Visitors of Dhaka City

Background: Obesity has become one of the major problems of developing countries. Weight is now increasing during this life stage of transition at a higher rate. The purpose of the study was to know the ratio of obesity and associated factors among visitors of Ramna Park, Dhaka city. Methodology: This descriptive type of cross-sectional study was carried out from January 2022 to December 2022 for a period of 1 year in Ramna Park, Dhaka City among 260 visitors. Pretested semi-structured questionnaires were used and BMI measurements were calculated as data collection instruments. Results: Out of all respondents, most of the study population were in the age group of 20 to 40 years which was 197(75.8%) respondents. Regarding BMI majority of the respondents were obese which was 104(40.0%) respondents. Among 104 obese respondents, most of them had said that they had taken three times meals per day which was 52(50.0%) respondents. Statistically significant (P&lt;0.05) association was found among dietary habits, physical inactivity, and obesity. Conclusion: In conclusion, the study revealed that obesity is increasing significantly, So, such a high prevalence of obesity is a health concern for Bangladeshi adults. Therefore, to address these diseases, appropriate health intervention measures and public awareness are required.

Factors affecting continuous participation in follow-up evaluations during a lifestyle intervention programme for type 2 diabetes prevention: The Feel4Diabetes-study.

Community- and school-based lifestyle interventions are an efficient method of preventing type 2 diabetes in vulnerable populations. Many participants, however, fail to complete the necessary follow-ups. We investigated factors affecting the continuous participation in follow-up evaluations during the Feel4Diabetes-study, a multilevel intervention programme implemented across Europe. Socioeconomic, sociodemographic and clinical factors were assessed for 2702 participants within six participating countries: Bulgaria and Hungary (low-to-middle-income countries, LMIC), Belgium and Finland (high-income countries, HIC) and Greece and Spain (high-income countries under austerity measures, HICAM). Statistically significant differences were detected with respect to sex, control group, education level, employment status, BMI and blood pressure measurements (systolic and diastolic blood pressure). Post hoc analysis revealed significant differences within socioeconomic regions. Higher levels of education were associated with significantly lower attrition in HIC (p < 0.05) and HICAM (p < 0.001), higher employment status was associated with lower attrition in HICAM (p < 0.001) and being female was associated with lower attrition in LMIC (p < 0.001). Surprisingly, the intervention group exhibited higher-than-expected attrition in HIC (p < 0.001) and HICAM (p = 0.003), and lower attrition in LMIC (p = 0.007). When tested together in the same multivariable predictive model, all sociodemographic and socioeconomic variables along with higher BMI retained their statistical significance, while systolic and diastolic blood pressure failed to remain significant. Key socioeconomic and sociodemographic factors along with BMI play a significant role in determining continuous participation in follow-up evaluations during school- and community-based intervention programmes.

Longitudinal analysis of epigenome-wide DNA methylation reveals novel loci associated with BMI change in East Asians.

Obesity is a global public health concern linked to chronic diseases such as cardiovascular disease and type 2 diabetes (T2D). Emerging evidence suggests that epigenetic modifications, particularly DNA methylation, may contribute to obesity. However, the molecular mechanism underlying the longitudinal change of BMI has not been well-explored, especially in East Asian populations. This study performed a longitudinal epigenome-wide association analysis of DNA methylation to uncover novel loci associated with BMI change in 533 individuals across two Chinese cohorts with repeated DNA methylation and BMI measurements over four years. We identified three novel CpG sites (cg14671384, cg25540824, and cg10848724) significantly associated with BMI change. Two of the identified CpG sites were located in regions previously associated with body shape and basal metabolic rate. Annotation of the top 20 BMI change-associated CpGs revealed strong connections to obesity and T2D. Notably, these CpGs exhibited active regulatory roles and located in genes with high expression in the liver and digestive tract, suggesting a potential regulatory pathway from genome to phenotypes of energy metabolism and absorption via DNA methylation. Cross-sectional and longitudinal EWAS comparisons indicated different mechanisms between CpGs related to BMI and BMI change. This study enhances our understanding of the epigenetic dynamics underlying BMI change and emphasizes the value of longitudinal analyses in deciphering the complex interplay between epigenetics and obesity.

Polygenic risk score for Atrial Fibrillation as a predictor for the incidence of Sick Sinus Syndrome: A comprehensive analysis from the UK biobank

Abstract Background Sick sinus syndrome (SSS) and atrial fibrillation (AF) often coexist, demonstrating a bidirectional relationship. The polygenic risk score (PRS) represents the cumulative risk of disease onset based on variations at multiple genetic loci and is known as a predictor for disease incidence. However, the PRS for SSS remains under-investigated. This study aims to evaluate whether the PRS for AF can predict the incidence of SSS in the general population. Methods The UK biobank, comprising of about 500,000 participants aged 40 to 70, was established across 22 centres in the UK between 2006 and 2010. After excluding missing values, prior AF history, and valvular heart disease, a total of 101,654 participants without AF (median age, 56.0 [interquartile range (IQR), 49.0–63.0] years; 44,851 [44.1%] male) were analyzed. Participants were divided into quartiles according to a validated PRS for AF. Throughout the observation period, the incidence of SSS event was documented. Results During a follow-up period of 11.7 (IQR 11.0-12.5) years, a total of 157 cases of Sick sinus syndrome were identified. In the new-onset SSS group, age, PRS for AF, BMI, and waist measurements were significantly higher. Additionally, there was a statistically significant increase in the proportions of male sex, hypertension, previous MI, hypothyroidism, dyslipidemia, and ESRD/CKD. The Kaplan-Meier analysis demonstrated an association between the highest quartile and an increased incidence of SSS compared to the other quartiles. (Log-rank P &amp;lt; 0.001) The Cox regression model revealed that a PRS for AF was associated with an increased risk of incidence of sick sinus syndrome (aHR 1.29, 95% CI 1.10-1.51, p-value 0.002). Notably, the discriminative power of our model was substantial, yielding a C-index of 0.746. Conclusion In our study, the PRS for AF effectively predicted the incidence of SSS. In the absence of a dedicated PRS for SSS, the AF PRS may offer insights into developing one for SSS.

Missed diagnosis—a major barrier to patient access to obesity healthcare in the primary care setting

ObjectiveTo investigate whether individuals with an elevated BMI measurement, for whom a diagnosis of overweight or obesity (OW/OB) is not recorded, are less likely to be offered clinical care for obesity compared to those with a recorded diagnosis.SubjectsA retrospective cohort study using the electronic medical record database of Maccabi Healthcare Services (MHS) in Israel. Included were 200,000 adults with BMI ≥ 25 kg/m2 measurement recorded during a primary care visit between 2014 and 2020, and no prior diagnosis of OW/OB or related co-morbidities.MethodsThe relationships between a recorded diagnosis of OW/OB and two composite outcomes: 1. A composite of referrals to screening tests for metabolic complications; 2. A composite of weight loss intervention and follow up, were analyzed using multivariate logistic regression models.ResultsIn only 18% of individuals, a diagnosis of OW/OB was recorded. After adjusting for multiple potential confounding factors, individuals who received a recorded diagnosis were 18% more likely to be offered an evaluation for obesity-related metabolic complication, (OR 1.18, 95% CI 1.15–1.21, p < 0.001), and almost twice as likely to be offered intervention and follow up for their excess body weight (OR 1.84, 95% CI 1.76–1.94, p < 0.001) compared to individuals with missed diagnosis. These results persisted after adjusting for inter-physician variability. In addition, male sex, older age, and Arab sector were all associated with lower rates of weight loss intervention and follow up, while young individuals were less likely to be screened for metabolic complications.ConclusionBeyond BMI measurement, a recorded diagnosis of OW/OB is associated with statistically and clinically significant higher rates of performance of obesity care and intervention. Undiagnosed OW/OB presents a significant clinical opportunity, as recording a diagnosis of OW/OB would predict improved patient access to obesity healthcare and improved clinical outcomes.