Assessment of the Relationship Between Genetic Determinants of Obesity, Unhealthy Eating Habits and Chronic Obstructive Pulmonary Disease: A Mendelian Randomisation Study

Background: Clinical studies have shown that the onset and exacerbation of chronic obstructive pulmonary disease (COPD) are related to obesity and dietary behaviours, but the genetic relationship between them is not clear.Aims: To investigate the relationship between the genetic determinants of obesity, dietary habits (alcohol consumption, intake of sweets, salt intake) and COPD.Methods: Exposure and outcome datasets were obtained from the IEU Open GWAS project. The exposure dataset includes dietary habits (Salt added to food, Sweets intake, Alcohol consumption), obesity level (represented by body mass index (BMI) and body fat percentage (BFP) data sets.). The outcome dataset includes COPD and acute COPD admissions. The collected data were imported into the RStudio software and conducted Mendelian randomisation analysis. Additionally, heterogeneity and horizontal pleiotropy tests were conducted on the data to ensure the veracity of the results.Results: The results showed that BMI was positively correlated with the risk of acute COPD admission (OR = 1.74, 95% CI 1.39-2.18) and COPD (OR = 1.81, 95%CI 1.41-2.33). In addition, BFP was also a risk factor for COPD (OR = 1.98, 95% CI 1.42-2.77) and acute exacerbation of COPD admission (OR = 1.99, 95%CI 1.43-2.77). The increase of salt, sugar and alcohol consumption will not increase the risk of COPD and the risk of hospitalisation due to COPD.Conclusion: Therefore, we should strengthen the guidance of diet and living habits of obese patients. For patients with heavier weight and higher body fat rate, they should be instructed to lose weight and fat to prevent the occurrence of COPD. For obese patients with COPD, more attention should be paid to prevent the occurrence of acute exacerbation of COPD in advance.

Metabolic dysfunction, rather than obesity, is a risk factor for chronic kidney disease in Chinese population

BACKGROUND

Metabolic dysfunction and obesity are closely related to chronic kidney disease (CKD). However, studies on the relationship between various metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of CKD in the Chinese population have not yet been explored.

MATERIALS AND METHODS

Data from the China Health and Retirement Longitudinal Study (CHARLS) 2015 were analyzed in this study. This study enrolled 12,054 participants. Participants were divided into six distinct groups according to their MetS-BMI status. Across the different MetS-BMI groups, the odd ratios (ORs) for CKD were determined using multivariable logistic regression models.

RESULTS

The prevalence of CKD was higher in metabolically unhealthy groups than in the corresponding healthy groups. Moreover, the fully adjusted model showed that all metabolically unhealthy individuals had an increased risk of developing CKD compared to the metabolically healthy normal weight group (OR = 1.62, p = 0.002 for the metabolically unhealthy normal weight group; OR = 1.55, p < 0.001 for the metabolically unhealthy overweight group; and OR = 1.77, p < 0.001 for the metabolically unhealthy obesity group.

CONCLUSIONS

This study is the first to evaluate the relationship between the MetS-BMI phenotype and renal prognosis in the Chinese population. Individuals with normal weights are at different risk of developing CKD depending on their different metabolic phenotypes.

Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study

BACKGROUND

Current evidence implicates a significant association between depression and obesity and related metabolic dysfunction. The weight-adjusted-waist index (WWI) was recently identified as an ideal index that integrates total body fat, muscle mass, and bone mass. This study investigated the relationship between WWI and depressive symptoms in adults.

METHODS

Participants from the National Health and Nutrition Examination Survey (2005-2018) were enrolled. Depressive symptom severity was measured with the Patient Health Questionnaire-9 (PHQ-9). Survey-weighted multivariable logistic regression, subgroup analysis, and generalized additive models were used to determine the relationship between WWI and depressive symptoms.

RESULTS

A total of 34,575 participants were included, with a mean WWI of 11.01; 2,979 participants were suspected of having depressive symptoms (PHQ-9 score ≥ 10). A significant positive association was identified between WWI and depressive symptoms (odds ratio = 1.416, 95 % confidence interval: 1.303-1.539, P < 0.0001). Subgroup analyses suggested that the association between WWI and depressive symptoms was stronger in individuals who were female, overweight, divorced, middle-aged or older (over 40 years old), and had diabetes. Furthermore, the non-linear multivariable regression revealed an inflection point for the WWI at 11.438, and the association was only significant when the WWI was higher than this point.

LIMITATIONS

This study was retrospective and only included participants from the United States; therefore, further validation is needed from studies in other countries, especially middle-to-low-income countries, using longitudinal cohorts.

CONCLUSIONS

This study identified a significant positive association between WWI and depressive symptoms.

Combined polygenic scores for ischemic stroke risk factors aid risk assessment of ischemic stroke

BACKGROUND

Current risk assessment for ischemic stroke (IS) is limited to clinical variables. We hypothesize that polygenic scores (PGS) of IS (PGSIS) and IS-associated diseases such as atrial fibrillation (AF), venous thromboembolism (VTE), coronary artery disease (CAD), hypertension (HTN), and Type 2 diabetes (T2D) may improve the performance of IS risk assessment.

METHODS

Incident IS was followed for 479,476 participants in the UK Biobank who did not have an IS diagnosis prior to the recruitment. Lifestyle variables (obesity, smoking and alcohol) at the time of study recruitment, clinical diagnoses of IS-associated diseases, PGSIS, and five PGSs for IS-associated diseases were tested using the Cox proportional-hazards model. Predictive performance was assessed using the C-statistic and net reclassification index (NRI).

RESULTS

During a median average 12.5-year follow-up, 8374 subjects were diagnosed with IS. Known clinical variables (age, gender, clinical diagnoses of IS-associated diseases, obesity, and smoking) and PGSIS were all independently associated with IS (P < 0.001). In addition, PGSIS and each PGS for IS-associated diseases was also independently associated with IS (P < 0.001). Compared to the clinical model, a joint clinical/PGS model improved the C-statistic for predicting IS from 0.71 to 0.73 (P < 0.001) and significantly reclassified IS risk (NRI = 0.017, P < 0.001), and 6.48% of subjects were upgraded from low to high risk.

CONCLUSIONS

Adding PGSs of IS and IS-associated diseases to known clinical risk factors statistically improved risk assessment for IS, demonstrating the supplementary value of inherited susceptibility measurement . However, its clinical utility is likely limited due to modest improvements in predictive values.

Environmental drivers of the rising incidence of early-onset colorectal cancer in the United States

Incidence of early-onset (diagnosed before age 50) colorectal cancer (EOCRC) has increased alarmingly since the 1990s in the United States. This study investigated what environmental exposures may have driven this increase. We obtained EOCRC incidence data from the Surveillance, Epidemiology, and End Results Program, and data for 11 exposures, for example, body mass index (BMI), from long-term national surveys. We aggregated these data for 30 to 49-year-olds during 1992 to 2016 by population subgroups defined by calendar period, age, race and sex, and used negative binomial regression models to identify and estimate associations of EOCRC with multiple exposures. Furthermore, we used counterfactual modeling to quantify contributions of identified risk factors to EOCRC incidence. The top models (with lowest Bayesian Information Criteria) consistently identified excess body weight, represented by overweight and obesity (BMI ≥25) or obesity alone (BMI ≥30), as the strongest risk factor. The best-performing model estimated increased EOCRC incidence due to overweight and obesity, with an incidence rate ratio (95% confidence interval) of 1.20 (1.17-1.22) for white men, 1.04 (1.00-1.08) for black men, 1.17 (1.15-1.21) for white women and 1.03 (0.97-1.08) for black women. Increases in overweight and obesity prevalence contributed to an estimated 30% (standard error: 1%) for men and 28% (standard error: 2%) for women of ECORC incidence during 1992 to 2016. These findings suggest excess body weight substantially contributed to and is likely a primary driver of the rising incidence of EOCRC in the United States. Prevention of excess weight gain may help lower colorectal cancer risk early in life.

Ultra-processed food consumption and increased risk of metabolic syndrome in Korean adults: A cross-sectional analysis of the KNHANES 2016-2020

OBJECTIVE

This study aimed to investigate the association between ultra-processed food (UPF) intake and the risk for metabolic syndrome (MetS) in Korean adults.

METHODS

The study consisted of 22 688 Korean adults ≥19 y of age from the Korea National Health and Nutrition Examination Survey (KNHANES) 2016-2020. The NOVA classification categorizes foods according to the nature, extent, and purpose of industrial processing. MetS was defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria and a modified waist circumference cut-off for Korean adults. We estimated the usual percent total food intake from UPFs. We used multivariate logistic regression to assess the association between UPFs and risk for MetS, adjusted for age, sex, education level, income level, smoking status, alcohol drinking, physical activity, and total energy intake. We further analyzed the association of UPFs with each component of MetS.

RESULTS

The median usual percent total food intake from UPFs was 22%, and the midpoint of intake ranged from 3% (quartile 1) to 48% (quartile 4). The group with the highest UPF consumption had a 19% higher risk for developing MetS than the lowest quartile of UPF consumption (odds ratio [OR],1.19; 95% confidence interval [CI], 1.06-1.33; Ptrend = 0.006). In analysis of the relationship between UPF intake and MetS components, a higher UPF was associated with an increased risk for hypertension (OR, 1.13; 95% CI, 1.01-1.26; Ptrend = 0.037) and abdominal obesity (OR, 1.19; 95% CI, 1.07-1.33; Ptrend = 0.001), but had no significant association with other components (hyperglycemia, hypertriacylglycerolmia, and low high-density lipoprotein cholesterol, all P > 0.05).

CONCLUSION

Higher UPF contribution to total daily food intake is associated with an increased risk for MetS, particularly with a higher risk for hypertension and abdominal obesity.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review

BACKGROUND

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

METHODS

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

RESULTS

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

LIMITATIONS

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

CONCLUSIONS

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Geographic and ethnicity variation in the prevalence of middle-aged and elderly adult obesity in China in 2020

AIM

The objective of this study is to evaluate the mean body mass index (BMI), general obesity and abdominal obesity in adults aged ≥40 years residing in China in 2020, and to analyse variations in these factors across different geographic areas and subpopulations.

METHODS

We utilized data from the National Stroke High-Risk Population Screening programme to calculate and compare the mean BMI and prevalence of obesity across various demographics, including sex, age, urban-rural locality, geographical region (province) and ethnicity status.

RESULTS

In our study, we found that the standardized mean BMI level was 24.65 kg/m2 [95% confidence interval (CI): 24.50-22.84] in men and 24.31 kg/m2 (95% CI: 24.15-24.45) in women. Using the criteria from China, we found that the standardized prevalence of general obesity and abdominal obesity was 13.13% (95% CI: 13.05-13.21%) and 33.03% (95 CI: 32.92-33.14%), respectively. Our study also identified significant effects of age, sex, urban-rural locality, province and ethnicity status on the prevalence of obesity. Overall, our study estimated that in 2020, approximately 91.1 million adults aged ≥40 years in China were obese (46.5 million men and 44.6 million women), while 229.2 million adults (110.4 million men and 118.8 million women) were diagnosed with abdominal obesity.

CONCLUSION

Our research has revealed compelling new evidence about the obesity epidemic among Chinese adults aged ≥40 years, particularly at the provincial and ethnic levels. As a result, more targeted and effective prevention strategies should be developed to alleviate the burden of obesity.

Late bedtime combined with more screen time before bed increases the risk of obesity and lowers diet quality in Spanish children

This cross-sectional study aimed to investigate whether the combination of bedtime and screen time (ST) before bed were associated with obesity and diet quality in toddlers and school-aged children. Parents reported children's bedtimes and ST before bed (0 min, 1-30 min, >30 min). We then defined bed + screen time behavior using bedtime median cut-offs (early [EB] or late [LB]) and ST responses, resulting in four groups: EB-0'ST, EB ≤ 30'ST/LB-0'ST, EB > 30'ST/LB ≤ 30'ST, and LB > 30'ST. For all participants (n = 1133; 5.4 ± 2.7 years, 49.7% girls, 51.9% school-aged) we evaluated body mass index (BMI), diet quality, sleep-related variables, physical activity, and health-related quality of life (HRQoL). Outcome variables were compared across bed + screen time behavior groups, stratified by age group (toddlers and school-aged children) using general linear models for continuous variables, as well as chi-squared tests or logistic regressions for categorical variables. Additionally, we calculated linear p-trends. Analyses were adjusted for sociodemographic variables, BMI, and physical activity (unless the variable was tested). The results showed that toddlers and school-aged children in the LB ≥ 30'ST group were more likely to have overweight/obesity (OR: 3.42 [95%CI:1.41,8.26] and OR: 2.53 [95%CI:1.10,5.03], respectively) than those in the EB-0'ST group. Additionally, toddlers and school-aged children in the EB > 30'ST/LB ≤ 30'ST and LB > 30'ST groups showed significantly lower adherence to the Mediterranean diet compared to the other groups (p < 0.001). Regarding sleep-related outcomes, we observed that the combination of LB and more ST was associated with poorer sleep quality and shorter sleep duration in toddlers and school-aged children (p < 0.001). These findings emphasize the importance of promoting earlier bedtimes and limiting ST before bed as part of obesity prevention strategies for children. Furthermore, such intervention could benefit the quality of children's diet and overall lifestyle.

Sarcopenic obesity in older adults: a clinical overview

Sarcopenic obesity is characterized by a concurrent decline in muscle mass and function, along with increased adipose tissue. Sarcopenic obesity is a growing concern in older adults owing to significant health consequences, including implications for mortality, comorbidities and risk of developing geriatric syndromes. A 2022 consensus statement established a new definition and diagnostic criteria for sarcopenic obesity. The pathophysiology of this condition involves a complex interplay between muscle, adipose tissue, hormonal changes, inflammation, oxidative stress and lifestyle factors, among others. Sarcopenic obesity is treated with a range of management approaches, such as lifestyle interventions, exercise, nutrition and medical therapies. Emerging therapies that were developed for treating other conditions may be relevant to sarcopenic obesity, including novel pharmacological agents and personalized approaches such as precision medicine. In this Review, we synthesize the current knowledge of the clinical importance of sarcopenic obesity, its assessment and diagnosis, along with current and emerging management strategies.

Inflammatory markers and androstenedione modify the effect of serum testosterone on obesity among men: Findings from a Chinese population

BACKGROUND

Few studies are available on the relationship of androstenedione with inflammation and obesity and the effect of androstenedione and inflammation on the association between testosterone and obesity. This study intended to examine the mediation effect of inflammatory markers on the association of testosterone with obesity and the moderation effect of androstenedione on the association of testosterone with inflammation and obesity in Chinese rural men.

MATERIALS AND METHODS

This cross-sectional research enrolled 2536 male rural inhabitants from the Henan Rural Cohort study. The serum concentrations of testosterone and androstenedione were determined by liquid chromatography-tandem mass spectrometry. Linear and logistic regression were used to examine the relationships between testosterone, inflammatory markers, and obesity. Mediation and moderation analyses were carried out to evaluate the potential effects of inflammatory markers on the relationship between testosterone and obesity, as well as androstenedione on the relationships of testosterone with inflammation and obesity.

RESULTS

After adjusting for confounding factors, the results showed that testosterone and androstenedione were negatively related to obesity, and inflammatory markers were positively associated with obesity. Besides, testosterone and androstenedione were negatively associated with inflammatory markers. Mediation analysis showed that white blood cell, neutrophil, monocyte, and high-sensitivity C-reactive protein had mediating effects on the association between testosterone and obesity. The most vital mediator was high-sensitivity C-reactive protein, and its proportion of the effect was 11.02% (defined by waist circumference), 11.15% (defined by waist-to-hip ratio), 12.92% (defined by waist-to-height ratio), and full mediating effect (defined by body mass index). Moreover, androstenedione played negative moderation effects on the associations of testosterone with inflammation and obesity.

CONCLUSION

Inflammatory markers and androstenedione were first found to have modifying effects on the association of testosterone with obesity. Higher levels of testosterone and androstenedione could reduce the inflammation level and risk of obesity, indicating their potential roles in the prevention and treatment of chronic diseases.

Application of a Web-based Tool for Quantitative Bias Analysis: The Example of Misclassification Due to Self-reported Body Mass Index

BACKGROUND

We describe the use of Apisensr, a web-based application that can be used to implement quantitative bias analysis for misclassification, selection bias, and unmeasured confounding. We apply Apisensr using an example of exposure misclassification bias due to use of self-reported body mass index (BMI) to define obesity status in an analysis of the relationship between obesity and diabetes.

METHODS

We used publicly available data from the National Health and Nutrition Examination Survey. The analysis consisted of: (1) estimating bias parameter values (sensitivity, specificity, negative predictive value, and positive predictive value) for self-reported obesity by sex, age, and race-ethnicity compared to obesity defined by measured BMI, and (2) using Apisensr to adjust for exposure misclassification.

RESULTS

The discrepancy between self-reported and measured obesity varied by demographic group (sensitivity range: 75%-89%; specificity range: 91%-99%). Using Apisensr for quantitative bias analysis, there was a clear pattern in the results: the relationship between obesity and diabetes was underestimated using self-report in all age, sex, and race-ethnicity categories compared to measured obesity. For example, in non-Hispanic White men aged 40-59 years, prevalence odds ratios for diabetes were 3.06 (95% confidence inerval = 1.78, 5.30) using self-reported BMI and 4.11 (95% confidence interval = 2.56, 6.75) after bias analysis adjusting for misclassification.

CONCLUSION

Apisensr is an easy-to-use, web-based Shiny app designed to facilitate quantitative bias analysis. Our results also provide estimates of bias parameter values that can be used by other researchers interested in examining obesity defined by self-reported BMI.

Obesity in U.S. low-income veterans:Prevalence, clinical characteristics, and homelessness

OBJECTIVE

Obesity is associated with lower socioeconomic status. To date, however, scarce research has examined the prevalence, comorbidity, and incremental burden of obesity in relation to medical, psychiatric, functional, and homelessness measures among low-income veterans.

METHODS

A nationally representative sample of 1004 low-income U.S. veterans was examined. Bivariate and multivariable analyses were conducted to assess relationships between obesity and medical and psychiatric comorbidities, functioning, and homelessness measures.

RESULTS

The prevalence estimate of obesity among low-income U.S. veterans was 38.2% (confidence interval (CI): 34.2; 42.2), which is higher than previously reported for the general U.S. veteran population. It was particularly high among young, females with children. Obesity was associated with co-occurring medical (chronic pain, diabetes, sleep disorders, high blood pressure, heart disease) and psychiatric (trauma- and anxiety-related) conditions, poor functioning, and current psychiatric medication use. Veterans with obesity were less likely to have current savings and more likely to have current debt. They also were more likely to have experienced evictions and foreclosures and less likely to use active coping or positive reframing as a means of dealing with stressful situations.

CONCLUSION

The prevalence of obesity among U.S. veterans is high. Specific demographic groups particularly vulnerable to developing obesity warrant targeted interventions. Modifying weight management programs, understanding coping styles, and assessing, monitoring, and treating obesity in low-income veterans may help improve overall health and quality of life in multiple domains.

Maternal pre-pregnancy overweight or obesity and risk of birth defects in offspring: Population-based cohort study

INTRODUCTION

Maternal obesity, a health condition increasingly prevalent worldwide, has been suggested to be associated with a higher risk of birth defects in offspring, whereas evidence from population-based data from China was largely lacking. Additionally, the role of gestational diabetes in the association between maternal obesity and birth defects remains unclear. We aimed to investigate the association of maternal pre-pregnancy overweight or obesity with any and different types of birth defects in offspring and the interaction between pre-pregnancy overweight or obesity and gestational diabetes.

MATERIAL AND METHODS

We conducted a population-based cohort study including 257 107 singletons born between 2015 and 2021 in Longgang District, Shenzhen, China, using data from the Shenzhen Maternal and Child Health Management System. Poisson regression was conducted to estimate the associations of maternal pre-pregnancy overweight or obesity, as well as the interaction between pre-pregnancy overweight or obesity and gestational diabetes, with the risk of birth defects. Models were adjusted for maternal age at delivery, educational level, type of household registration, and gravidity.

RESULTS

Maternal pre-pregnancy overweight was associated with a higher risk of any birth defect (risk ratio [RR] 1.21, 95% confidence interval [CI] 1.12 to 1.31) as well as of congenital malformations of the circulatory system (RR 1.26, 95% CI 1.12 to 1.41), eye/ear/face/neck (RR 1.42, 95% CI 1.04 to 1.94), and musculoskeletal system (RR 1.21, 95% CI 1.01 to 1.44). Maternal pre-pregnancy obesity was associated with a higher risk of any birth defect (RR 1.38, 95% CI 1.18 to 1.63) and congenital malformations of the circulatory system (RR 1.61, 95% CI 1.30 to 1.98). Infants born to overweight or obese mothers with gestational diabetes had a higher risk of congenital malformations of the circulatory system than infants born to overweight or obese mothers without gestational diabetes.

CONCLUSIONS

Maternal pre-pregnancy overweight or obesity was associated with a higher risk of birth defects, particularly congenital malformations of the circulatory system, in offspring. Gestational diabetes interacts additively with pre-pregnancy overweight or obesity on modifying the risk of congenital malformations of the circulatory system. The importance of improving weight management and assessment of glucose and metabolic functions was emphasized among women planning for pregnancy who are overweight or obese.

Prevalence and secular trends in premetabolic syndrome in the United States: Findings from 1999-2020 nationally representative data of adults

PURPOSE

Although Premetabolic syndrome (PeMetSyn) is a precursor for metabolic syndrome (MetSyn), its prevalence and trends are unknown. This study examined the prevalence and trends in PreMetSyn and its association with sociodemographic risk factors in American adults.

METHODS

The 1999-2000 to 2017-2020 United States National Health and Nutritional Health Surveys (NHANES) data were used. PreMetSyn was defined as co-occurrence two cardiometabolic risk factors consisting of abdominal obesity, elevated triglycerides, reduced HDL-C, elevated blood pressure, and fasting plasma glucose. We calculated sex-specific overall prevalence of PreMetSyn and by race/ethnicity, age, education, poverty, and body mass index (BMI) categories. Sex-specific logistic regression models were used to test the association between sociodemographic risk factors and PreMetSyn.

RESULTS

From 1999 - 2000 to 2017-2020, the age-adjusted overall prevalence of PreMetSyn increased by 155.4% (from 9.2% to 23.5%) in men and by 131.3% (from 11.2% to 25.9%) in women. Increases in prevalence of PreMetSyn were observed by race/ethnicity, age, education, poverty and BMI levels in men and women from 1999-2000 to 2017-2020. Survey cycle, race/ethnicity, age, education, poverty-income ratio, and BMI were independently associated with greater odds of PreMetSyn in males and females. During this period, the co-occurrence of abdominal obesity and elevated blood pressure was the most common comorbidity and increased from 20.6% to 30.8% in men and from 27.8% to 36.1% in women.

CONCLUSIONS

This nationally representative study indicates a rapid increase from 1999-2000 to 2017-2020 in the proportion of American adults who meet the criteria for PreMetSyn. Early identification of subjects with PreMetSyn in the U.S. is a public health priority for initiating effective strategies to prevent the development of MetSyn and its associated chronic diseases.

Physical activity diminished adverse associations of obesity with lipid metabolism in the population of rural regions of China

The interactive effects of obesity and physical inactivity on lipid metabolism and prevalent dyslipidemia are scarcely reported in rural regions. 39029 subjects were obtained from the Henan Rural Cohort, and their metabolic equivalents (METs) of physical activity (PA) were computed. Independent associations of the obesity indices and PA with either lipid indices or prevalent dyslipidemia were analyzed by generalized linear models, and additive effects of obesity and PA on prevalent dyslipidemia were further quantified. Each obesity index was positively associated with total cholesterol, triglyceride, low-density lipoprotein or prevalent dyslipidemia but negatively associated with high-density lipoprotein, whereas the opposite association of PA with either each lipid index or prevalent dyslipidemia was observed. Joint association of PA and each obesity index with each lipid index and prevalent dyslipidemia was observed. Furthermore, the association of each obesity index in association with each lipid index was attenuated by increased PA levels.

Prevalence, trends, and characteristics of metabolic dysfunction-associated steatotic liver disease among the US population aged 12-79 years

BACKGROUND AND AIMS

Clinical observation revealed an increase in metabolic dysfunction-associated steatotic liver disease (MASLD) prevalence among adults and adolescents and young adults (AYA). However, its prevalence trend in specific subgroups and its characteristics are unclear.

APPROACH AND RESULTS

This cross-sectional study included adults and AYA aged 20-79 and 12-19 years, respectively, from the National Health and Nutrition Examination Survey from 1999 to 2018. MASLD was defined as US Fatty Liver Index ≥30 in adults and alanine amino transaminase elevation and obesity in AYA. Joinpoint and logistic regression were used to evaluate the MASLD prevalence trend and its associated characteristics. MASLD was diagnosed in 17 156 892 of 51 109 914 (33.6%) adults and 1 705 586 of 29 278 666 AYA (5.8%). During the study period, MASLD prevalence significantly increased from 30.8% to 37.7% ( P  < 0.01) in adults and in subgroups of female participants, individuals aged 20-45 and 61-79 years, and non-Hispanic white individuals. Conversely, MASLD prevalence did not significantly change in AYA (from 5.1% to 5.2%, P  = 0.139), except in the subgroup of Mexican Americans (from 8.2% to 10.8%, P  = 0.01). Among adults, high MASLD prevalence was associated with male sex, Mexican American ethnicity, age >50 years, being unmarried, poverty income ratio <130, poor or fair health condition, obesity or overweight, and chronic conditions. Among AYA, high MASLD prevalence was associated with male sex, poverty income ratio <130, and education.

CONCLUSION

Accordingly, we concluded that health care providers should prevent and treat conditions associated with MASLD by raising awareness of the increasing trend of MASLD.

Prevalence, clinical presentation, and risk factors of chronic venous disease in Cameroon: A general population-based study

INTRODUCTION

Chronic venous disease is a global public health problem, with high morbidity and economic distress. There is scarcity of data on this disease in sub-Saharan Africa.

METHODS

We conducted the first population-based study over a period of 20 months from 1st February 2020 to 30th September 2021 in the 10 regions of Cameroon. A stratify sampling method was chose to select study site. Socio-demographic data, personal and family history, anthropometric parameters, clinical signs, illustrative images, CEAP (Clinical-Etiological-Anatomical-Pathophysiological) classification revised in 2004, VCSS (venous Clinical Severity Score) and risk factor assessment score were used to construct the survey form. Chi-squared test and Fischer exact test were used to compare the prevalence of chronic venous disease across different potential risk factors (sex, age category, previous history of deep vein thrombosis, hypertension, diabetes, smoking status, obesity). Simple and multiple logistic regression models were used to obtain crude and adjusted odds ratio for risk factors associated with chronic venous insufficiency. Statistical analyses were done with R version 4.2 for Linux and the threshold for statistical significance was 0.05.

RESULTS

A total of 6578 participants were included in the study, with a mean age of 41.09 ± 16.02 years with female predominance (54.3%). The prevalence of chronic venous disease was 21.8% (95% CI: 20.8-22.9) and the prevalence of chronic venous insufficiency (C3-C6) was 7.02% (n = 462). Night cramps (43.2%), oedema (21.7%), lower limbs pain (20.4%) mostly worsens by walking and heavy legs (16.2%) were more common symptoms. The mean total venous clinical severity score was 0.69 ± 1.76 and this score had a significant positive correlation with C classification (p < .001). In the multivariate analysis, the following factors were independently associated with CVD: Male gender (aOR: 1.27; 95%CI: 1.04-1.56; p = .021), retired people (aOR: 46.9; 95% CI: 12.6-174.5; p < .001), hypertension (aOR: 289.5; 95%CI: 169.69-493.1; p < .001), diabetes (aOR: 2.19; 95% CI: 1.21-3.96; p = .009), obesity (aOR: 10.22; 95%CI: 7.67-13.62; p < .001). Smoking appears as a protective factor (aOR: 0.18; 95%CI: 0.10-0.30; p < .001).

CONCLUSION

Chronic venous disease is frequent in Cameroon and main traditional cardiovascular risk factors are associated to this condition. Systematic screening of the CVD in these specific groups could reduce the burden of the disease and its economic impact.

Does metformin reduce the risk of cancer in obesity and diabetes? A systematic review and meta-analysis

AIM

To evaluate the effect of metformin on cancer incidence in subjects with overweight/obesity and/or prediabetes/diabetes.

MATERIALS AND METHODS

We searched MEDLINE, Embase and CENTRAL for randomized controlled trials (RCTs) in adults with overweight/obesity and/or prediabetes/diabetes that compared metformin to other interventions for ≥24 weeks. Independent reviewers selected and extracted data including population and intervention characteristics and new diagnoses of cancer. We used the RoB 2.0 risk-of-bias tool and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework to assess risk of bias and certainty of evidence.

RESULTS

From 14 895 records after removal of duplicates, 27 trials were included, providing a total of 10 717 subjects in the metformin group and 10 003 in the control group, with 170 and 208 new cases of cancer, respectively. Using a random-effects model, the relative risk was 1.07 (95% confidence interval 0.87-1.31), with similar results in subgroup analyses by study duration or effect of control intervention on weight. Risk of bias in most studies was low, and no evidence of publication bias was found. Trial sequential analysis provided evidence that the cumulative sample size was large enough to exclude a significant effect of metformin on cancer incidence.

CONCLUSIONS

Metformin did not reduce cancer incidence in RCTs involving subjects with overweight/obesity and/or prediabetes/diabetes.

A comprehensive meta-analysis of risk factors associated with osteosarcopenic obesity: a closer look at gender, lifestyle and comorbidities

This study reviewed the risk factors of Osteosarcopenic obesity (OSO), a condition linking weak bones, muscle loss, and obesity. Notable associations were found with female gender, physical inactivity, hypertension, and frailty. Recognizing these early can aid targeted prevention, emphasizing further research for improved understanding and strategies.

PURPOSE

Osteosarcopenic obesity (OSO) represents a confluence of osteopenia/osteoporosis, sarcopenia, and obesity, contributing to increased morbidity and mortality risks. Despite escalating prevalence, its risk factors remain under-explored, necessitating this comprehensive systematic review and meta-analysis.

METHODS

A diligent search of PubMed, Scopus, and Cochrane databases was conducted for pertinent studies until June 2023. The random-effects model was employed to compute pooled odds ratios (ORs) and 95% confidence intervals (CIs), scrutinizing various risk factors like age, gender, lifestyle factors, and common comorbidities.

RESULTS

Our meta-analysis incorporated 21 studies comprising 178,546 participants. We identified significant associations between OSO and factors such as female gender (OR 1.756, 95% CI 1.081 to 2.858), physical inactivity (OR 1.562, 95% CI 1.127-2.165), and hypertension (OR 1.482, 95% CI 1.207-1.821). Conversely, smoking (OR 0.854, 95% CI 0.672-1.084), alcohol consumption (OR 0.703, 95% CI 0.372-1.328), and dyslipidemia (OR 1.345, 95% CI 0.982-1.841) showed no significant associations. Remarkable heterogeneity was observed across studies, indicating considerable variation in effect sizes. Notably, OSO was strongly associated with frailty (OR 6.091; 95% CI 3.576-10.375).

CONCLUSIONS

Our study underscored the substantial role of female gender, physical inactivity, and hypertension in the development of OSO, whilst suggesting a strong link between OSO and frailty. These findings emphasize the importance of early risk factor identification and targeted interventions in these groups. Further research is warranted to decode the complex pathophysiological interplay and devise effective prevention and management strategies.

Overweight-years and cancer risk: A prospective study of the association and comparison of predictive performance with body mass index (Atherosclerosis Risk in Communities Study)

Excess body mass index (BMI) is associated with a higher risk of at least 13 cancers, but it is usually measured at a single time point. We tested whether the overweight-years metric, which incorporates exposure time to BMI ≥25 kg/m2 , is associated with cancer risk and compared this with a single BMI measure. We used adulthood BMI readings in the Atherosclerosis Risk in Communities (ARIC) study to derive the overweight-years metric. We calculated associations between the metric and BMI and the risk of cancers using Cox proportional hazards models. Models that either included the metric or BMI were compared using Harrell's C-statistic. We included 13,463 participants, with 3,876 first primary cancers over a mean of 19 years (SD 7) of cancer follow-up. Hazard ratios for obesity-related cancers per standard deviation overweight-years were 1.15 (95% CI: 1.05-1.25) in men and 1.14 (95% CI: 1.08-1.20) in women. The difference in the C-statistic between models that incorporated BMI, or the overweight-years metric was non-significant in men and women. Overweight-years was associated with the risk of obesity-related cancers but did not outperform a single BMI measure in association performance characteristics.

County-level socio-environmental factors and obesity prevalence in the United States

AIMS

To investigate high-risk sociodemographic and environmental determinants of health (SEDH) potentially associated with adult obesity in counties in the United States using machine-learning techniques.

MATERIALS AND METHODS

We performed a cross-sectional analysis of county-level adult obesity prevalence (body mass index ≥30 kg/m2) in the United States using data from the Diabetes Surveillance System 2017. We harvested 49 county-level SEDH factors that were used in a classification and regression trees (CART) model to identify county-level clusters. The CART model was validated using a 'hold-out' set of counties and variable importance was evaluated using Random Forest.

RESULTS

Overall, we analysed 2752 counties in the United States, identifying a national median (interquartile range) obesity prevalence of 34.1% (30.2%, 37.7%). The CART method identified 11 clusters with a 60.8% relative increase in prevalence across the spectrum. Additionally, seven key SEDH variables were identified by CART to guide the categorization of clusters, including Physically Inactive (%), Diabetes (%), Severe Housing Problems (%), Food Insecurity (%), Uninsured (%), Population over 65 years (%) and Non-Hispanic Black (%).

CONCLUSION

There is significant county-level geographical variation in obesity prevalence in the United States, which can in part be explained by complex SEDH factors. The use of machine-learning techniques to analyse these factors can provide valuable insights into the importance of these upstream determinants of obesity and, therefore, aid in the development of geo-specific strategic interventions and optimize resource allocation to help battle the obesity pandemic.

The Relationship Between Obesity and Internet Addiction in University Students: A Cross-Sectional Study

PURPOSE

The purpose of this study was to investigate the relationship between obesity and internet addiction in first-year university students (aged 18-25 years).

DESIGN

The study was designed using a cross-sectional analytic model.

SETTING

Data collection took place at Dokuz Eylul University, involving a diverse group of first-year students from different faculties.

SUBJECTS

The study population comprised 12,365 students, with 2890 individuals selected using cluster sampling.

MEASURES

Internet addiction was evaluated using the Online Cognition Scale (OCS). Data on obesity-related variables and demographic details were collected through a questionnaire. Descriptive statistics, chi-square analysis, t test, and ANOVA were applied for statistical evaluation.

RESULTS

The study included 2105 participants, with 43.8% males and 56.2% females. A significant positive correlation was found between body mass index (BMI) and OCS scores (P = .000), indicating a higher prevalence of internet addiction among individuals with higher BMI. Males had higher mean OCS scores (91.19 ± 35.14) than females (80.21 ± 30.51) (P = .00). Overweight and obese individuals exhibited higher scores on OCS sub-dimensions (P < .005). Notably, individuals with a BMI over 25 were categorized as overweight, and those with a BMI over 30 were classified as obese.

CONCLUSIONS

The findings demonstrate a noteworthy relationship between internet addiction and obesity among university students. The study emphasizes the necessity of increased attention to this issue in Turkey for the implementation of effective interventions and preventive measures.

Obstructive Sleep Apnea: The Effect of Bariatric Surgery After Five Years-A Prospective Multicenter Trial

BACKGROUND

The prevalence of obstructive sleep apnea (OSA) is high among the bariatric surgery candidates. Obesity is the most important individual risk factor for OSA. The aim of this study was to investigate the effect of a laparoscopic Roux-en-Y gastric bypass (LRYGB) on OSA 5 years after the surgery.

PATIENTS AND METHODS

In this prospective multicenter study, standard overnight cardiorespiratory recording was conducted to 150 patients at baseline prior to bariatric surgery. A total of 111 (73.3%) patients of those had OSA. Cardiorespiratory recordings at 5 years after surgery were available for 70 OSA patients. The changes in anthropometric and demographic measurements including age, weight, body mass index (BMI), and waist and neck circumference were evaluated. Also, a quality of life (QoL) questionnaire 15D administered in a baseline was controlled at 5-year follow-up visit.

RESULTS

At 5-year OSA was cured in 55% of patients, but moderate or severe OSA still persisted in 20% of patients after operation. Mean total AHI decreased from 27.8 events/h to 8.8 events/h (p < 0.001) at 5-year follow-up. A clinically significant difference in QoL was seen in mobility, breathing, sleeping, usual activities, discomfort and symptoms, vitality and sexual activity. The QoL total score improved more in OSA patient at 5-year follow-up.

CONCLUSIONS

LRYGB is an effective treatment of OSA in obese patients and the achieved beneficial outcomes are maintained at 5-year follow-up.

Association between the cardiometabolic index and chronic kidney disease: a cross-sectional study

BACKGROUND

Central obesity is a risk factor for chronic kidney disease (CKD). However, the exact correlation between the cardiometabolic index (CMI), an indicator of central obesity, and CKD remains unclear. Here, we aimed to investigate the correlation between the CMI and CKD in the general American population.

METHODS

This cross-sectional study involved 64,313 members of the general population (≥ 20 years of age) with data in the National Health and Nutrition Examination Survey (NHANES) 1999-2020. The individuals were grouped into three categories by CMI tertile: T1 group (n = 7,029), T2 group (n = 7,356), and T3 group (n = 7,380). Logistic regression analysis was performed, with NHANES recommended weights, to assess the association between the CMI and CKD.

RESULTS

A total of 21,765 participants were included; the overall prevalence of CKD was 12.2%. From the low to the high CMI tertile, the prevalence of CKD increased from 8.9% to 16.0% (P < 0.001). After full adjustment for confounders, the higher tertile of CMI (OR: 1.08, 95% CI: 1.03 - 1.13, P = 0.002) had the higher risk of CKD. Compared with the T1 group, the groups with higher CMI levels had a higher CKD risk (T2: OR: 1.01, 95%CI: 0.87-1.18, P = 0.812; T3: OR: 1.22, 95%CI: 1.05-1.43, P = 0.013).

CONCLUSIONS

Higher CMI was independently associated with higher CKD risk in the general population.

Sex differences in the impact of body mass index on outcomes of coronary artery disease in Koreans

BACKGROUND

Obesity is often considered a risk factor for cardiovascular disease, but recent studies have shown conflicting results regarding the effect of BMI on the prognosis of coronary artery disease (CAD). This study aimed to evaluate the relationship between BMI and clinical outcomes of CAD according to sex in a Korean population.

METHODS

A total of 3476 patients with a significant CAD who underwent percutaneous coronary intervention (PCI) were enrolled. Patients were classified as follows according to BMI using the Asia-Pacific cutoff points: underweight (<18.5 kg/m 2 ), normal weight (18.5-22.9 kg/m 2 ), overweight (23.0-24.9 kg/m 2 ) and obese (≥25 kg/m 2 ) patients. Underweight and normal weight patients were further categorized into the lower BMI group, whereas overweight and obese patients were categorized into the higher BMI group. The primary endpoint was all-cause mortality.

RESULTS

Among women, the higher BMI group showed poor clinical features in the prevalence of hypertension and chest pain presentation, and among men, the higher BMI group had a significantly lower rate of chronic renal failure. At the end of the follow-up period (median 53.5 months), the all-cause mortality rate was lower in the higher BMI group in men, and cardiovascular death and stroke rates were significantly lower in the higher BMI group in women.

CONCLUSION

In Korean CAD patients treated with PCI, inverse correlations were observed between the clinical outcomes and BMI, but there were differences between men and women.

Association of metabolic health and obesity with coronary heart disease in adult cancer survivors

BACKGROUND

The metabolically healthy obese (MHO) phenotype is associated with an increased risk of coronary heart disease (CHD) in the general population. However, association of metabolic health and obesity phenotypes with CHD risk in adult cancer survivors remains unclear. We aimed to investigate the associations between different metabolic health and obesity phenotypes with incident CHD in adult cancer survivors.

METHODS

We used National Health Insurance Service (NHIS) to identify a cohort of 173,951 adult cancer survivors aged more than 20 years free of cardiovascular complications. Metabolically healthy nonobese (MHN), MHO, metabolically unhealthy nonobese (MUN), metabolically unhealthy obese (MUO) phenotypes were created using as at least three out of five metabolic health criteria along with obesity (body mass index ≥ 25.0 kg/m2). We used Cox proportional hazards model to assess CHD risk in each metabolic health and obesity phenotypes.

RESULTS

During 1,376,050 person-years of follow-up, adult cancer survivors with MHO phenotype had a significantly higher risk of CHD (hazard ratio [HR] = 1.52; 95% confidence intervals [CI]: 1.41 to 1.65) as compared to those without obesity and metabolic abnormalities. MUN (HR = 1.81; 95% CI: 1.59 to 2.06) and MUO (HR = 1.92; 95% CI: 1.72 to 2.15) phenotypes were also associated with an increased risk of CHD among adult cancer survivors.

CONCLUSIONS

Adult cancer survivors with MHO phenotype had a higher risk of CHD than those who are MHN. Metabolic health status and obesity were jointly associated with CHD risk in adult cancer survivors.

Sarcopenia augments the risk of excess weight on COVID-19 hospitalization: A prospective study using the Lifelines COVID-19 cohort

OBJECTIVE

We investigated the associations of sarcopenia alone, overweight or obesity, and sarcopenic overweight or obesity with COVID-19 hospitalization.

METHODS

Participants from the Lifelines COVID-19 cohort who were infected with COVID-19 were included in this study. Sarcopenia was defined as a relative deviation of muscle mass of ≤ -1.0 SD from the sex-specific mean 24-h urinary creatinine excretion. Overweight or obesity was defined as a body mass index ≥ 25 kg/m2. Sarcopenic overweight or obesity was defined as the presence of overweight or obesity and low muscle mass. COVID-19 hospitalization was self-reported. Logistic regression models were used to analyze the associations of sarcopenia alone, overweight or obesity, and sarcopenic overweight or obesity with COVID-19 hospitalization.

RESULTS

Of the 3594 participants infected with COVID-19 and recruited in this study, 173 had been admitted to the hospital. Compared with the reference group, individuals with overweight or obesity and sarcopenic overweight or obesity were 1.78-times and 2.09-times more likely to have been hospitalized for COVID-19, respectively, whereas sarcopenia alone did not increase the risk of COVID-19 hospitalization.

CONCLUSIONS

In this middle-aged population, sarcopenic overweight or obesity elevated the risk of hospitalization for COVID-19 in those infected with COVID-19 more than overweight or obesity alone. These data support the relevance of sarcopenic overweight or obesity as a risk factor beyond the geriatric setting and should be considered in risk stratification in future public health and vaccination campaigns.

The association between weight during early life and multiple sclerosis onset in a nationwide Dutch birth year cohort

BACKGROUND

The relationship between being overweight during early life and disease course in multiple sclerosis (MS) is unresolved. We investigated the association between being overweight or obese during early life (childhood and adolescence) and MS case status, age of first symptom onset and onset type in people with MS (pwMS) of the same birth year.

METHODS

We enrolled 363 PwMS and 125 healthy controls (HC) from Project Y, a Dutch population-based cross-sectional cohort study including all PwMS born in 1966 and age and sex-matched HC. The associations between weight during childhood and adolescence (non-overweight vs. overweight or obese) and MS, age at symptom onset and onset type (relapsing vs. progressive) were assessed using logistic and linear regressions. In addition, sex-separated associations were explored.

RESULTS

Being overweight or obese during childhood (OR = 2.82, 95% CI 1.17-6.80) and adolescence (OR = 2.45, 95% CI 1.13-5.34) was associated with developing MS. Furthermore, being overweight or obese during adolescence was associated with a younger age of onset (β = -0.11, p = 0.041). Of all 47 patients with a primary progressive (PP) onset type, only one patient (2.1%) was overweight or obese during childhood, whereas 45 patients with a relapsing remitting (RR) onset (14.3%) were overweight or obese during childhood (PP vs. RR p = 0.017; PP vs. HC p = 0.676; RR vs. HC, p = 0.015). However, using logistic regression analysis we did not find evidence of a significant association.

CONCLUSION

In a nationwide population-based birth year cohort, being overweight or obese during childhood or adolescence is associated with MS prevalence and an earlier age of onset, but does not seem to associate with the type of onset.

Body composition markers are associated with changes in inflammatory markers but not vice versa: A bi-directional longitudinal analysis in a population-based sample

BACKGROUND AND AIM

Growing body of evidence consistently link obesity and inflammation, Although the direction of the association is still unclear. We aimed to investigate longitudinal associations of body anthropometric, composition and fat distribution parameters with inflammatory markers and vice versa.

METHOD AND RESULTS

We used data from 2464 individuals of the SHIP-TREND cohort with a median follow-up of 7 years. Linear regression models adjusted for confounders were used to analyze associations of standardized body composition markers derived from classic anthropometry, bioelectrical impedance analysis (BIA) and magnetic resonance imaging (MRI) at baseline with changes in inflammatory markers (C-reactive protein (CRP), white blood cell (WBC), fibrinogen) and vice versa. Higher level of anthropometric markers at baseline were associated with an increase in the change of inflammatory markers. A 13.5 cm higher waist circumference (WC), 16.0 kg body weight and 7.76 % relative fat mass (FM) at baseline was associated with a change in CRP of 0.52 mg/L (95 % confidence interval [CI]: 0.29 to 0.74), 0.51 mg/L (95 % CI: 0.29; 0.74) and 0.58 mg/L (95 % CI: 0.34; 0.82) respectively. Absolute FM showed the strongest association with changes in serum fibrinogen levels (β for 8.69 kg higher FM: 0.07 g/L; 95 % CI: 0.05; 0.09). Baseline inflammatory markers were only associated with changes in hip circumference.

CONCLUSION

Our study indicates the importance of anthropometric, body composition and fat distribution markers as a risk factor for the development of inflammation. To prevent inflammatory-related complications, important is to take measures against the development of obesity.

Association of sex-specific body mass index and waist circumference trajectories with non-alcoholic fatty liver disease incidence based on growth mixture modeling

BACKGROUND AND AIMS

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. The relationship between the trajectories of obesity indicators and incident NAFLD is unknown. Therefore, this study aims to explore the sex-specific association between the trajectories of obesity indicators and the incidence of NAFLD.

METHODS AND RESULTS

In total, 9067 participants were recruited for this longitudinal study. Obesity indicators use body mass index (BMI) and waist circumference (WC). The trajectory of obesity indicators was analyzed using the growth mixture modeling. The multivariate logistic regression model was used to analyze the association between obesity indicators' trajectories and incident NAFLD. Over a median follow-up of 1.82 years, 1013 (11.74%) participants developed NAFLD. We identified BMI and WC change trajectories as the stable group, increasing group, and decreasing group. After adjusting for baseline level and other confounders, multivariate logistic regression analysis showed that compared with stable group of BMI, the increasing group, and decreasing group odds ratio and 95% confidence interval of NAFLD were 2.10 (1.06-4.15), and 0.25 (0.09-0.67) in men, and 1.82 (1.08-3.04) and 0.32 (0.16-0.64) in women. Compared with stable group of WC, the increasing group was 2.57 (1.39-4.74) in men, the increasing group, and decreasing group were 2.29 (1.70-3.10) and 0.28 (0.12-0.64) in women. Sensitivity analysis showed that the results were stable.

CONCLUSION

The BMI and WC changing trajectories are significantly associated with the incidence of NAFLD in men and women. Populations of real-world health examinations can be categorized based on obesity indicator changes to prevent NAFLD.

Obesity in Latinx and White U.S. military veterans: Mental health, psychosocial burden, non-suicidal self-injury and suicidal behavior

Obesity disproportionately affects Latinx communities and is linked to an increased risk of mental health problems. Military veterans are more likely to develop mental health problems, but the role of Latinx ethnicity in moderating the association between obesity and these problems is unclear. To address this gap, this study examined psychiatric and psychosocial correlates of obesity in a nationally representative sample of Latinx and White U.S. military veterans. Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study, which surveyed 3524 Latinx and White veterans. Analyses revealed that Latinx ethnicity moderated associations between obesity and several measures. Specifically, among veterans with obesity, Latinx veterans had higher rates of major depression, generalized anxiety, post-traumatic stress disorders, drug use disorders, non-suicidal self-injury, and higher levels of childhood trauma, loneliness, and hostility relative to White veterans. These findings underscore the importance of culturally sensitive prevention and treatment efforts to help mitigate symptoms of internalizing disorders, drug use disorder, loneliness, and hostility, and to cultivate psychosocial resources such as resilience and coping self-efficacy among Latinx veterans with obesity.

Risk of Esophageal Adenocarcinoma After Bariatric Surgery: A Meta-Analysis of Retrospective Studies

PURPOSE

This study aims to systematically review and meta-analyze the evidence on the risk of esophageal adenocarcinoma (EAC) following metabolic and bariatric surgery (MBS).

MATERIALS AND METHODS

A systematic literature search was conducted on the China National Knowledge Infrastructure (CNKI), Wanfang, EMBASE, MEDLINE, Web of Science, The Cochrane Library, and PubMed databases. Meta-analysis utilized odds ratios (ORs) and 95% confidence intervals (CIs) to analyze the correlation between MBS and the risk of EAC. Meta-analysis was performed using STATA software (version 12.0).

RESULTS

Fourteen studies involving patients with obesity undergoing bariatric surgery and control groups receiving conventional treatment were included. The meta-analysis indicated a reduction in the overall incidence of esophageal cancer after bariatric surgery (OR = 0.69, 95% CI: 0.51-0.95, P = 0.022). Subgroup analysis results demonstrated a decreased risk of EAC in European patients with obesity undergoing MBS treatment (OR: 0.60, 95% CI: 0.38-0.95, P = 0.028). In studies with a sample size greater than or equal to 100,000 patients, the risk of EAC in patients with obesity undergoing MBS was significantly lower than the non-surgery group (OR: 0.59, 95% CI: 0.42-0.83, P = 0.003). Articles published before 2020 and those published in 2020 or earlier showed a significant difference in the incidence of EAC between the surgery and non-surgery groups (OR: 0.57, 95% CI: 0.43-0.75, P < 0.001). The risk of EAC in patients with obesity with a follow-up time of less than 5 years was statistically significant (OR: 0.46, 95% CI: 0.25-0.82, P = 0.009).

CONCLUSION

Our meta-analysis results suggest a reduced risk of esophageal cancer in patients with obesity after bariatric surgery.

PROSPERO REGISTRATION

CRD 42024505177.

Obesity and tobacco smoking are independently associated with poor patient-reported outcomes in SLE: a cross-sectional study

We investigated associations of obesity and tobacco smoking with health-related quality of life (HRQoL), pain, fatigue, and functional impairment in systemic lupus erythematosus (SLE). Furthermore, we explored whether there was an effect modification between these two factors. We included adult SLE patients from the Linköping University Hospital (n = 325) in the present cross-sectional analysis. We further included population-based controls and performed cardinality matching to balance age and sex distributions with cases (n = 224). HRQoL was assessed with the EQ-5D index score; pain, fatigue, and overall SLE-related health state with visual analogue scales (VAS; 0 [best] to 100 [worst]); and functional impairment with the HAQ-DI. Unacceptable outcomes were defined as VAS scores corresponding to the 90th percentile derived from the matched controls. SLE patients reported worse scores than controls in all measures, and approximately 30% experienced unacceptable outcomes. When compared with normal-weight, obese SLE patients reported lower HRQoL, and greater functional impairment and risk of unacceptable pain (OR: 3.2; 95% CI 1.6-6.7) and fatigue (OR: 2.1; 95% CI 1.0-4.3). Similarly, the current smokers reported higher levels of functional impairment and a greater risk of unacceptable pain (OR: 3.8; 95% CI 1.8-8.2) and fatigue (OR: 2.8; 95% CI 1.3-5.9) than never smokers. The associations were independent of age, sex, disease duration, disease activity, and organ damage. There was no evidence of a synergistic effect between increased BMI and smoking on any outcome. In summary, obesity and smoking are risk factors for unacceptable patient-reported outcomes in SLE, regardless of clinical activity.

The German guideline "Obesity in pregnancy": comparison with the international approach

BACKGROUND

Obesity is an increasing problem, even in young women of reproductive age. Obesity has a negative impact on conception, the course of pregnancy, and neonatal outcomes. Caring for obese pregnant women has becoming an important aspect of standard prenatal care. The Guideline "Obesity and Pregnancy" of the German Society of Gynecology and Obstetrics aims to create evidence-based recommendations which can be used to improve the care of obese pregnant women. As obesity is a worldwide problem, many societies for obstetrics and gynecology have created national guidelines.

METHODS

We reviewed the following guidelines for obesity and pregnancy: American College of Obstetricians and Gynecologists (ACOG) 2021, Royal College of Obstetrics and Gynecology (RCOG) 2018; AND Society of Obstetricians and Gynecologists of Canada (SOGC) 2019. These guidelines were compared to the German guideline.

RESULTS

There are some variations between the guidelines, though no major contradictions exist. Disparities were found regarding the recommendations for substitution of high folic acid and Vitamin D. Furthermore, the recommended time for screening for gestational diabetes and the methods to control fetal growth differ between the guidelines. Regarding place of birth, RCOG allows delivery in midwifery-led units in the absence of other high-risk circumstances, while others request facility of care by neonatologists and medical staff trained in care of obese women. Induction of labor at term due to increased risk of intrauterine demise is mostly limited to women with a body mass index of 40 kg/m2. Only one guideline considers induction of all obese women. For intrapartum management, the majority allows tolerating of longer labor times to delivery if fetal monitoring is sufficient and fetal stress is excluded. Special encouragement of breastfeeding and healthy lifestyle is commonly recommended; only in the Canadian guideline, postpartum depression evaluation is requested due to the overall high prevalence of depression and anxiety in obese women.

CONCLUSION

All guidelines consider pregnancies in obese women as high-risk pregnancies and emphasize the need for preconception counseling. There are special needs in pregnancy care and in the intrapartum and postpartum management to be observed.

The Expanding Problem of Regional Adiposity: Revisiting a 1985 Diabetes Classic by Ohlson et al

Body fat distribution is a predictor of metabolic health in obesity. In this Classics in Diabetes article, we revisit a 1985 Diabetes article by Swedish investigators Ohlson et al. This work was one of the first prospective population-based studies that established a relationship between abdominal adiposity and the risk for developing diabetes. Here, we discuss evolving concepts regarding the link between regional adiposity and diabetes and other chronic disorders. Moreover, we highlight fundamental questions that remain unresolved.

Potentially modifiable risk factors for dementia in six low-income and middle-income countries: A multinational, population-based survey

OBJECTIVES

We aimed to determine the proportion of dementia cases potentially preventable in six low-income and middle-income countries.

STUDY DESIGN

We analyzed data from 19,278 adults aged 50 years or more from China, South Africa, Ghana, India, Russia, and Mexico included in the WHO's Study on global AGEing and adult health.

MAIN OUTCOME MEASURES

We calculated the population attributable fraction for ten potentially modifiable risk factors: less education, hearing loss, hypertension, diabetes, depression, heavy drinking, obesity, smoking, physical inactivity, and social isolation. Weighted attributable fraction was calculated considering communality among risk factors.

RESULTS

We estimated that 37.6 % of the burden of dementia might be attributable to these risk factors. The highest and lowest overall weighted attributable fractions were 38.3 % and 22.9 % in China and Ghana, respectively. Less education (8.3 %), smoking (6.3 %), and physical inactivity (5.7 %) showed the highest attributable fraction for dementia. The overall attributable fraction was higher in the poorest (38.1 %) than in the richest (30.9 %) income quintile. The burden of obesity, diabetes, and hypertension was 61 % higher in the wealthiest than in the poorest population. A total of 7.2 million cases of dementia in these six low- and middle-income countries are potentially caused by these ten potentially modifiable risk factors.

CONCLUSIONS

Overall, 38 % of cases of dementia in China, South Africa, Ghana, India, Russia, and Mexico can be attributable to ten potentially modifiable risk factors. Cardiometabolic risk factors account for a more significant burden of dementia in the wealthiest population. Less education had the highest population attributable fraction independent of living area and income.

Obesity at term: What to consider? How to deliver?

Obesity presents significant challenges during pregnancy, increasing the risk of complications and adverse outcomes for both mother and baby. With the rising prevalence of obesity among pregnant women, questions arise regarding optimal management, including timing of delivery and choice of delivery mode. Labour induction in obese women may require a combination of mechanical and pharmacological methods due to increased risk of failed induction. Caesarean section in obese women presents unique challenges, requiring comprehensive perioperative planning and specialized care to optimize outcomes. However, specific guidelines tailored to obese patients undergoing caesarean sections are lacking. Postpartum care should include vigilant monitoring for complications. Addressing obesity in pregnancy necessitates a multidisciplinary approach and specialized care to ensure the best outcomes.

Hyperandrogenism and Cardiometabolic Risk in Pre- and Postmenopausal Women-What Is the Evidence?

Hyperandrogenism in women, such as polycystic ovary syndrome, ovarian hyperthecosis, congenital adrenal hyperplasia, and androgen-secreting tumors, are all associated with increased prevalence of cardiovascular risk factors that include type 2 diabetes, hypertension, dyslipidemia, and metabolic syndrome. However, it is not clear whether this also implies enhanced risk of cardiovascular disease and mortality. Furthermore, the involvement of obesity and menopausal status for cardiometabolic risk in these women has not been elucidated. Based on the most recent systematic reviews and meta-analyses, this review summarizes the latest scientific evidence. To conclude, hyperandrogenism in premenopausal women is associated with enhanced prevalence of cardiovascular risk factors, as well as increased risk of cardiovascular disease and mortality, independently of body mass index. In contrast, elevated cardiovascular risk factors and increased risk of myocardial infarction and stroke in hyperandrogenic postmenopausal women are dependent on obesity. Furthermore, the overall risk of cardiovascular disease and coronary artery disease in hyperandrogenic postmenopausal women is similar to controls. The reason for a reduced cardiometabolic risk after menopause in hyperandrogenic women compared to nonhyperandrogenic women is not clear. It can be speculated that the difference in endocrine balance and metabolic status between women with and without hyperandrogenism might decrease after menopause because hyperandrogenism usually improves with age, whereas menopausal transition itself is associated with androgen dominance and abdominal obesity. Although we have gained increased knowledge about cardiometabolic risks in women with hyperandrogenism, it must be acknowledged that the quality of data is overall low. More research is needed, especially longer and larger follow-up studies in women with hyperandrogenism of different etiologies and phenotypes.

Long-term Risk for Type 1 Diabetes and Obesity in Early Term Born Offspring: A Systematic Review and Meta-Analysis

CONTEXT

Prematurity increases the long-term risks for endocrine and metabolic morbidity of offspring, but there is uncertainty regarding the risks for early-term deliveries (370/7-386/7 weeks of gestation).

OBJECTIVE

We aim to evaluate whether early-term deliveries increase the long-term risk for type 1 diabetes and obesity of offspring up to the age of 18 years compared with full-term children. PubMed, Medline, and EMBASE were searched. Observational cohort studies addressing the association between early-term delivery and long-term risk for type 1 diabetes and obesity, were included. Two independent reviewers extracted data and assessed risk of bias. Pooled relative risks (RRs) and heterogeneity were determined. Publication bias was assessed by funnel plots with Egger's regression line and contours, and sensitivity analyses were performed.

RESULTS

Eleven studies were included following a screen of 7500 abstracts. All studies were scored as high quality according to the Newcastle-Ottawa Quality Assessment Scale. Early-term delivery was significantly associated with an increased risk for type 1 diabetes (RR 1.19, 1.13-1.25), while the association was weaker for overweight and obesity (RR 1.05, 0.97-1.12). It is challenging to determine whether the association between early-term births and long-term morbidity represents a cause and effect relationship or is attributable to confounders. Most of the included studies adjusted for at least some possible confounders.

CONCLUSION

Compared with full-term offspring, early-term delivery poses a modest risk for long-term pediatric type 1 diabetes. Our analysis supports that, whenever medically possible, elective delivery should be avoided before 39 completed weeks of gestation.

Undiagnosed type 2 diabetes is common - intensified screening of established risk groups is imperative in Sweden: the SDPP cohort

BACKGROUND

Undiagnosed type 2 diabetes (T2D) is a global problem. Current strategies for diagnosis in Sweden include screening individuals within primary healthcare who are of high risk, such as those with hypertension, obesity, prediabetes, family history of diabetes, or those who smoke daily. In this study, we aimed to estimate the proportion of individuals with undiagnosed T2D in Stockholm County and factors associated with T2D being diagnosed by healthcare. This information could improve strategies for detection.

METHODS

We used data from the Stockholm Diabetes Prevention Programme (SDPP) cohort together with information from national and regional registers. Individuals without T2D aged 35-56 years at baseline were followed up after two ten-year periods. The proportion of diagnosed T2D was based on register information for 7664 individuals during period 1 and for 5148 during period 2. Undiagnosed T2D was assessed by oral glucose tolerance tests at the end of each period. With logistic regression, we analysed factors associated with being diagnosed among individuals with T2D.

RESULTS

At the end of the first period, the proportion of individuals with T2D who had been diagnosed with T2D or not was similar (54.0% undiagnosed). At the end of the second period, the proportion of individuals with T2D was generally higher, but they were less likely to be undiagnosed (43.5%). The likelihood of being diagnosed was in adjusted analyses associated with overweight (OR=1.85; 95% CI 1.22-2.80), obesity (OR=2.73; 95% CI 1.76-4.23), higher fasting blood glucose (OR=2.11; 95% CI 1.67-2.66), and self-estimated poor general health (OR=2.42; 95% CI 1.07-5.45). Socioeconomic factors were not associated with being diagnosed among individuals with T2D. Most individuals (>71%) who developed T2D belonged to risk groups defined by having at least two of the prominent risk factors obesity, hypertension, daily smoking, prediabetes, or family history of T2D, including individuals with T2D who had not been diagnosed by healthcare.

CONCLUSIONS

Nearly half of individuals who develop T2D during 10 years in Stockholm County are undiagnosed, emphasizing a need for intensified screening of T2D within primary healthcare. Screening can be targeted to individuals who have at least two prominent risk factors.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Spatial distribution and associated factors of co-occurrence of overweight/obesity and Anemia among women in the reproductive age in sub-Saharan Africa: A multilevel analysis, DHS 2016-2021

BACKGROUND

Overweight/obesity is one of the major public health problems that affect both developed and developing nations. The co-occurrence of overweight/obesity and anemia is thought to be largely preventable if detected early. To date, no spatial analyses have been performed to identify areas of hotspots for the co-occurrence of overweight/obesity and anemia among reproductive women in sub-Saharan Africa. Therefore, this study aimed to assess the spatial distribution and associated factors of the co-occurrence of overweight/obesity and anemia among women of reproductive age.

METHODS

Data for the study were drawn from the Demographic and Health Survey, a nationally representative cross-sectional survey conducted in the era of Sustainable Development Goals, in which the World Health Assembly decided and planned to cease all forms of malnutrition by 2030. Seventeen sub-Saharan African countries and a total weighted sample of 108,161 reproductive women (15-49 years) were included in our study. The data extraction, recoding and analysis were done using STATA V.17. For the spatial analysis (autocorrelation, hot-spot and interpolation), ArcGIS version 10.7 software, and for the SaTScan analysis, SaTScan version 10.1 software was used. Descriptive statistics were presented using frequency tables and percentages. We employed multilevel logistic regression to investigate associated factors. In the multivariable analysis, variables with a p-value of ≤0.05 are considered as a significant factor associated with co-occurrence of overweight/obesity and anemia among women aged 15-49 years.

RESULTS

The overall co-occurrence of overweight/obesity and anemia among women in sub-Saharan Africa was 12% (95%CI: 9-14%). The spatial analysis revealed that the co-occurrence of overweight/obesity and anemia among women significantly varied across sub-Saharan Africa. (Global Moran's I = 0.583163, p<0.001). In the spatial window, the primary-cluster was located in Liberia, Guinea, Gambia, Sira Leon, Mauritania, Mali, Cameron and Nigeria with a Log-Likelihood Ratio (LRR) of 1687.30, and Relative Risk (RR) of 2.58 at a p-value < 0.001. In multilevel analysis, women aged 25-34 years (AOR = 1.91, 95%CI: 1.78, 2.04), women aged 35-49 years (AOR = 2.96, 95% CI: 2.76, 3.17), married (AOR = 1.36, 95% CI: 1.27, 1.46), widowed (AOR = 1.22, 95%CI: 1.06, 1.40), divorced (AOR = 1.36, 95% CI: 1.23, 1.50), media exposure (AOR = 1.31, 95%CI: 1.23, 1.39), middle income (AOR = 1.19, 95%CI: 1.11, 1.28), high income/rich (AOR = 1.36, 95%CI: 1.26, 1.46), not working (AOR = 1.13, 95% CI:1.07, 1.19), traditional contraceptive utilization (AOR = 1.39, 95%CI: 1.23, 1.58) and no contraceptive use (AOR = 1.27, 95%CI: 1.20, 1.56), and no health insurance coverage (AOR = 1.36, 95%CI: 1.25, 1.49), were individual level significant variables. From community-level variables urban residence (AOR = 1.61, 95%CI: 1.50, 1.73), lower middle-income country (AOR = 2.50, 95%CI: 2.34, 2.66) and upper middle-income country (AOR = 2.87, 95%CI: 2.47, 3.34), were significantly associated with higher odds of co-occurrence of overweight/ obesity and anemia.

CONCLUSION AND RECOMMENDATIONS

The spatial distribution of the co-occurrence of overweight/obesity and anemia was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the co-occurrence of overweight/obesity and anemia. Therefore, public health programmers and other stalk holders who are involved in maternal healthcare should work together and give priority to hotspot areas of co-occurrence in sub-Saharan Africa.

Prevalence of overweight and obesity among adolescents living with HIV after dolutegravir - based antiretroviral therapy start in Kampala, Uganda

BACKGROUND

Dolutegravir (DTG)-based antiretroviral therapy (ART) is currently the preferred first-line treatment for persons living with HIV (PLHIV) including children and adolescents in many low- and middle-income countries including Uganda. However, there are concerns about excessive weight gain associated with DTG especially in adults. There remains paucity of current information on weight-related outcomes among adolescents on DTG. We determined the prevalence of excessive weight gain and associated factors among adolescents living with HIV (ALHIV) receiving DTG-based ART in Kampala, Uganda.

METHODS

Cross-sectional study involving ALHIV aged 10-19 years on DTG-based ART for at least one year were recruited from public health facilities in Kampala between February and May 2022. Excessive weight gain was defined as becoming overweight or obese per body mass index (BMI) norms while on DTG-based ART for at least one year. Demographic, clinical and laboratory data were collected using interviewer-administered questionnaires and data extracted from medical records. At enrolment, blood pressure and anthropometry were measured and blood was drawn for blood glucose and lipid profile. Data was summarised using descriptive statistics and logistic regression was performed to determine the associated factors.

RESULTS

We enrolled 165 ALHIV with a median age of 14 years (IQR 12-16). Eighty (48.5%) were female. The median duration on ART and DTG was 8 years (IQR 7-11) and 2 years (IQR 1-3) respectively. At DTG initiation, the majority of participants (152/165, 92.1%) were ART-experienced, and had normal BMI (160/165, 97%). Overall, 12/165 (7.3%) adolescents (95% CI: 4.2-12.4) had excessive weight gain. No factors were significantly associated with excessive weight gain after DTG start in ALHIV. However, all ALHIV with excessive weight gain were females.

CONCLUSION

Our study found a prevalence of 7.3% of overweight and obesity in ALHIV after initiating DTG. We did not find any factor significantly associated with excessive weight gain in ALHIV on DTG. Nonetheless, we recommend ongoing routine monitoring of anthropometry and metabolic markers in ALHIV as DTG use increases globally, to determine the exact magnitude of excessive weight gain and to identify those at risk of becoming overweight or obese while taking the medication.