Breakfast consumption, saturated fat intake, and body mass index among medical and non-medical students: a cross-sectional analysis.

Changes in dietary patterns and body weight have become a focus of research in undergraduate students. This study compared breakfast consumption, intake of foods high in saturated fat, and BMI between medical and non-medical students. A comparative cross-sectional study was conducted in 4,561 Peruvian university students, of whom 1,464 (32.1%) were from the medical field and 3,097 (67.9%) from the non-medical field. We compared the frequency of breakfast consumption (categorized as regular: 6 to 7 days/week; occasional: 3 to 5 days/week; and rarely or never: 0 to 2 days/week) and the frequency of consumption of foods high in saturated fat. We created simple and multiple linear and Poisson regression models with robust variance to evaluate the association of the mentioned variables with academic fields. Non-medical students (Adjusted Prevalence Ratio [PR] = 0.92, 95% CI 0.86-0.99; p = 0.008) were less likely to eat breakfast regularly compared to medical students. Likewise, consumption of foods high in saturated fats was higher in non-medical students (B = 1.47, 95% CI 0.91-2.04; p < 0.001) compared to medical students. Similarly, the mean BMI of these students was significantly higher than that of medical students (B = 0.33, 95% CI 0.12-0.53; p = 0.002). Although medical students reported relatively healthy eating habits and a lower BMI, there is a widespread need to promote improved diet and lifestyle among the entire university population to reduce the risks of communicable diseases and improve quality of life.

Association between serum vitamin E and bacterial vaginitis in women: a cross-sectional study.

INTRODUCTION: Bacterial vaginitis (BV) is a common vaginal disease. Vitamin E has been shown to reduce BV by enhancing immune function, but no studies have analyzed the relationship between vitamin E and BV at different BMIs and ages. METHOD: This study used 2242 participants from four cycles of NHANES 1999-2006 in American. Participants' vitamin E levels were divided into four groups, and analyses such as study population description, stratified analysis, multiple logistic regression analysis, and curve fitting were performed. To perform data processing, the researchers used the statistical package R (The R Foundation; http://www.r-project.org ; version 3.6.3) and Empower Stats software ( www.empowerstats.net , X&Y solutions, Inc. Boston, Massachusetts). RESULT: The concentrations of serum vitamin E were negatively correlated with the risk of BV, especially when vitamin E were at 1198-5459ug/dL with (OR = -0.443, 95%CI = 0.447-0.923, P = 0.032) or without (OR = -0.521, 95%CI = 0.421-0.837, P = 0.006) adjustment for variables. At the same time, at lower levels, there was no significant association. Vitamin E supplementation may significantly reduce the risk of BV (p < 0.001). In addition, the risk of having BV decreased and then increased with increasing vitamin E concentrations at high BMI levels (p < 0.01). CONCLUSION: Vitamin E at moderate to high concentrations may significantly reduce BV risk, says the study, providing clinical evidence for the prevention and the treatment of BV.

Coprevalence and associations of diabetes mellitus and hypertension among people living with HIV/AIDS in Cameroon.

BACKGROUND: The association between HIV infection and increased cardiometabolic risk, attributed to chronic inflammation in people living with HIV (PLWH) and/or antiretroviral therapy (ART) effects, has been inconsistent. In this study, we aimed to assess the associations of HIV-related factors with hypertension (HTN) and type-2 diabetes mellitus (T2DM), and the potential mediation effects of body mass index (BMI) in the associations between ART use and HTN or T2DM in PLWH in Cameroon. METHODS: A cross-sectional study was conducted with 14,119 adult PLWH from Cameroon enrolled in the International epidemiology Databases to Evaluate AIDS (IeDEA) between 2016 and 2021. HTN was defined as systolic/diastolic blood pressure ≥ 140/90 mmHg and/or current use of antihypertensive medication, while T2DM was defined as fasting blood sugar ≥ 126 mg/dL and/or use of antidiabetic medications. Univariable and multivariable multinomial logistic regression analyses examined the associations of factors with HTN alone, T2DM alone, and both (HTN + T2DM). Mediation analyses were conducted to assess the potential mediation roles of BMI, while controlling for age, sex, and smoking. RESULTS: Of the 14,119 participants, 9177 (65%) were women, with a median age of 42 (25th-75th percentiles: 35-51) years. Age > 50 years was associated with HTN alone, T2DM alone, and HTN + T2DM compared to the age group 19-29 years. Men had higher odds of having HTN + T2DM. Overweight and obesity were predictors of HTN alone compared to being underweight. WHO stages II and III HIV disease were inversely associated with HTN alone compared to stage I. The odds of diabetes alone were lower with ART use. BMI partially mediated the association between ART use and hypertension, with a proportion of mediation effect of 49.6% (all p < 0.02). However, BMI did not mediate the relationship between ART use and diabetes. CONCLUSIONS: Traditional cardiovascular risk factors were strongly associated with hypertension among PLWH, while HIV-related exposures had smaller associations. BMI partially mediated the association between ART use and hypertension. This study emphasizes the importance of screening, monitoring, and managing HTN and T2DM in older, male, and overweight/obese PLWH. Further research on the associations of HIV disease stage and ART use with HTN and T2DM is warranted.

Salud cardiovascular en España basada en el Life's Essential 8 y su asociación con mortalidad general y cardiovascular: la cohorte ENRICA / Cardiovascular health in Spain based on the Life's Essential 8 and its association with all-cause and cardiovascular mortality: the ENRICA cohort

Introducción y objetivos: La American Heart Association ha desarrollado el índice Life's Essential 8 (LE8) para promover la prevención de la enfermedad cardiovascular (ECV). Este estudio examinó la distribución del LE8 en la población adulta española y su asociación con la mortalidad general y por ECV.MétodosSe analizaron datos de 11.616 personas de edad≥ años (el 50,5% mujeres) del estudio ENRICA, reclutadas en 2008-2010 y seguidas hasta 2020-2022. El LE8 incluye 8 parámetros (dieta, actividad física, exposición a la nicotina, sueño, índice de masa corporal, lípidos y glucosa en sangre y presión arterial) y se puntúa de 0 a 100. La asociación entre LE8 y mortalidad se resumió mediante hazardratio obtenidas de modelos de Cox.ResultadosEl 13,2% de los participantes (del 6,1 al 16,9% según la comunidad autónoma) mostraron mala salud cardiovascular (LE8≤49). Tras una mediana de 12,9 años de seguimiento, ocurrieron 908 muertes totales y, durante una mediana de 11,8 años de seguimiento, 207 muertes por ECV. Tras ajustar por los principales factores de confusión y comparados con el cuartil más bajo (menos saludable) de LE8, los HR (IC 95%) de mortalidad general en el segundo, el tercer y el cuarto cuartil fueron, respectivamente, 0,68 (0,56-0,83), 0,63 (0,51-0,78) y 0,53 (0,39-0,72). Los resultados correspondientes a la mortalidad cardiovascular, considerando riesgos competitivos de muerte, fueron 0,62 (0,39-0,97), 0,55 (0,32-0,93) y 0,38 (0,16-0,89).ConclusionesUna proporción sustancial de los españoles mostraron mala salud cardiovascular. Una mayor puntación de LE8, desde el segundo cuartil, se asocia con menores mortalidad general y cardiovascular. (AU)

Introduction and objectives: The American Heart Association has recently developed the Life's Essential 8 (LE8) score to encourage prevention of cardiovascular disease (CVD). This study assessed the distribution of LE8 in the Spanish adult population and its association with all-cause and CVD death.MethodsWe used data from 11 616 individuals aged 18 years and older (50.5% women) from the ENRICA study, recruited between 2008 and 2010 and followed up until 2020 to 2022. The LE8 score includes 8 metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids and glucose, and blood pressure) and ranges from 0 to 100. The association of LE8 score with mortality was summarized with hazard ratios (HR), obtained from Cox regression.ResultsIn total, 13.2% of participants (range, 6.1%-16.9% across regions) had low cardiovascular health (LE8≤49). During a median follow-up of 12.9 years, 908 total deaths occurred, and, during a median follow-up of 11.8 years, 207 CVD deaths were ascertained. After adjustment for the main potential confounders and compared with being in the least healthy (lowest) quartile of LE8, the HR (95%CI) of all-cause mortality for the second, third and fourth quartiles were 0.68 (0.56-0.83), 0.63 (0.51-0.78), and 0.53 (0.39-0.72), respectively. The corresponding figures for CVD mortality, after accounting for competing mortality risks, were 0.62 (0.39-0.97), 0.55 (0.32-0.93), and 0.38 (0.16-0.89).ConclusionsA substantial proportion of the Spanish population showed low cardiovascular health. A higher LE8 score, starting from the second quartile, was associated with lower all-cause and CVD mortality. (AU)

Positive correlation between body weight and body mass index with blood pressure in young adults.

Study assessing the correlation between body weight and body mass index (BMI) with blood pressure in young adults is still limited. The aim of this was to investigate the link between body weight and BMI with blood pressure, as well as to assess how much increasing of body weight and BMI contribute to raising blood pressure in young men and women. A cross-sectional study was conducted among 1,107 healthy young adults aged 18-22 years (women, n=705; men, n=402). Chi-squared test was used to assess the association between body weight and BMI with blood pressure. The Pearson correlation and linear regression analysis were used to determine the correlation and direction of the relationship between body weight and BMI with blood pressure. Our data indicated the associations between body weight and BMI with blood pressure (both had p=0.001). There was a strong correlation between body weight and systolic blood pressure (SBP) (r=0.709; p<0.001), whereas the correlation between body weight and diastolic blood pressure (DBP) was moderate (r=0.374; p<0.001). BMI moderately influenced SBP and DBP (r=0.488 and r=0.358; p<0.001). A linear correlation analysis revealed a positive correlation between body weight and BMI with blood pressure, where an increase in body weight of 1 kg resulted an increase in SBP of 0.725 mmHg and DBP of 0.318 mmHg. In addition, an increase in BMI of 1 kg/m2 followed by an increase in SBP and DBP of 1.6 mmHg and 0.834 mmHg, respectively. This study highlights that nutritional status in young men and women is linked and has a positive correlation with blood pressure.

Prevalence of modifiable risk factors for cardiovascular disease among school-going children and adolescents in Eldoret, Kenya.

Introduction: Cardiovascular disease (CVD) prevalence in Kenya is rising. Overweight, pre-hypertension and physical inactivity at younger ages is contributory. These risk factors are inadequately documented among Kenyan children and adolescents, hampering CVD prevention. Methods: this cross-sectional study randomly sampled 384 participants from Eldoret, Kenya. After ethical considerations, physical activity was assessed. Body mass index (BMI), Waist-Hip-Ratio (WHR) and Waist-Height-Ratio (WHtR) were determined, and blood pressure (BP) was measured. Results: participants were 14.6±2.7 years, and 62.6% were female. Eight percent had BMI ≥25.0 kg/m2. Of these, 87% were in secondary schools. Using SBP, 27.9% had CVD risk (42.5% and 20% for males and females ≥13 years and 26.5% and 27% for those <13 years, respectively). For DBP, 12.8% had elevated-to-hypertensive BP (13.2% and 8.3% for males and females ≥13 years and 11.8% and 25.4% for those <13 years, respectively). Combining SBP and DBP, 8.1%, mostly males, had elevated-to-hypertensive BP. Using respective WHR cutoffs of 0.90 and 0.85, 31% (boys) and 15.6% (girls) were at CVD risk. For WHtR, 39.6% of boys were >0.463 cut-off (0.493±0.02) against 32.4% for girls >0.469 cut-off (0.517±0.05). Of these, 52.6% (boys) and 69.7% (girls) were in secondary schools. Overall, 45% of participants were sports-inactive and 77.2% did minimal physical activities. Conclusion: among school-going children and adolescents in Eldoret, Kenya, the prevalence of CVD risk factors was high, especially among boys and in high schools. Large proportions had elevated BP, BMI, WHR and WHtR, and, further, were sedentary, posing a high CVD risk. Lifestyle interventions to mitigate this are urgently needed.

Risk factors for decreased bone mineral density in patients with metabolic dysfunction-associated steatotic liver disease: A cross-sectional study at a health examination center.

BACKGROUND & AIMS: Steatotic liver disease (SLD) is often detected in health examinations. However, although individuals with metabolic dysfunction-associated SLD (MASLD) may have decreased bone mineral density (BMD), the specific risk factors remain unclarified. The objective of this study was to identify the factors associated with decreased BMD in patients with MASLD. METHODS: Individuals who underwent abdominal ultrasonography and BMD measurements at our healthcare center were included. The BMD of the calcaneus was assessed using an AOS-10SA bone densitometer. Decreased BMD was defined as a T-score below -1.0 SD or the administration of osteoporosis treatment. SLD was diagnosed based on specific ultrasonographic criteria. RESULTS: A total of 1410 patients were diagnosed with MASLD. The median age was 52 years. Multivariate analysis using a logistic regression model revealed that the independent predictors of decreased BMD were a low body mass index (BMI) or a small waist circumference (odds ratio (OR): 0.48, 95% confidence interval (CI): 0.34-0.67), hypertriglyceridemia (OR: 1.29, 95% CI: 1.00-1.65), and a weak grip strength (OR: 0.98, 95% CI: 0.97-1.00). Subgroup analyses of individuals aged 50 years or older, men, and individuals with a FIB-4 index of 1.3 or greater revealed that the absence of a high BMI or a large waist circumference was associated with decreased BMD. The subgroup analysis of men revealed that a weaker grip strength was associated with decreased BMD. CONCLUSION: The present study suggested several potential risk factors for decreased BMD in patients with MASLD. Individuals with the abovementioned risk factors should be encouraged to undergo BMD measurement from the perspective of preventive medicine.

The influence of acute lifestyle changes on NAFLD evolution in a multicentre cohort: a matter of body composition.

BACKGROUND: Unhealthy lifestyles represent a key element fueling Non-alcoholic fatty liver disease (NAFLD) onset and worsening. We aimed to evaluate the effects of forced acute lifestyle changes on NAFLD evolution. METHODS: 187 NAFLD patients were followed two years pre- and two years during the lockdown social restrictions in three Italian medical centers. For each patient, biochemical, clinical, non-invasive liver fibrosis, nutritional, and body composition data were collected. RESULTS: An increase in fats and carbohydrate intake associated with impaired weekly physical activity during the lockdown was demonstrated as well as an increase in body mass index and waist-hip-ratio (p < 0.0001 for all). Total cholesterol, low-density lipoprotein, high-density lipoprotein, triglycerides, glucose, insulin, homeostatic model assessment for insulin resistance, and transaminases worsened during the lockdown (glucose: p = 0.0007; p < 0.0001 for the others). Moreover, NAFLD fibrosis score, liver stiffness, and controlled attenuation parameter were also impaired during the same period (p < 0.0001 for all). The bioelectrical impedance analysis (BIA) evidenced an increase of fat mass (FM), and a reduction of free fat mass (FFM) and body cell mass (BCM) (p < 0.0001 for all). The lockdown overall hepatocellular carcinoma (HCC) and Milan-out HCC occurrence revealed Hazard Ratio (HR): 2.398, 95% Confidence Interval (CI):1.16-5, p = 0.02, and HR:5.931, CI:2-17.6, p = 0.008 respectively. A liver disease stage and comorbidities independent association between both the assessed outcomes and body composition analysis in terms of mean values and variation (T1-T2 Δ) was demonstrated. CONCLUSIONS: The acute lifestyle changes impacted NAFLD evolution via body composition modifications negatively influencing the HCC occurrence.

Variability of polygenic prediction for body mass index in Africa.

BACKGROUND: Polygenic prediction studies in continental Africans are scarce. Africa's genetic and environmental diversity pose a challenge that limits the generalizability of polygenic risk scores (PRS) for body mass index (BMI) within the continent. Studies to understand the factors that affect PRS variability within Africa are required. METHODS: Using the first multi-ancestry genome-wide association study (GWAS) meta-analysis for BMI involving continental Africans, we derived a multi-ancestry PRS and compared its performance to a European ancestry-specific PRS in continental Africans (AWI-Gen study) and a European cohort (Estonian Biobank). We then evaluated the factors affecting the performance of the PRS in Africans which included fine-mapping resolution, allele frequencies, linkage disequilibrium patterns, and PRS-environment interactions. RESULTS: Polygenic prediction of BMI in continental Africans is poor compared to that in European ancestry individuals. However, we show that the multi-ancestry PRS is more predictive than the European ancestry-specific PRS due to its improved fine-mapping resolution. We noted regional variation in polygenic prediction across Africa's East, South, and West regions, which was driven by a complex interplay of the PRS with environmental factors, such as physical activity, smoking, alcohol intake, and socioeconomic status. CONCLUSIONS: Our findings highlight the role of gene-environment interactions in PRS prediction variability in Africa. PRS methods that correct for these interactions, coupled with the increased representation of Africans in GWAS, may improve PRS prediction in Africa.

Association between BMI Change, Transaminases, and Other Metabolic Parameters in Children with Nonalcoholic Fatty Liver Disease.

Background: Weight loss and lifestyle interventions are the mainstay of treatment in pediatric NAFLD. There are gaps in the literature on the objective improvement in BMI to meaningfully impact NAFLD in children. Aim: To determine the decrease in BMI associated with a significant decline in ALT and other metabolic parameters. Methods: Retrospective chart review of pediatric patients with the diagnosis of NAFLD. Data were collected at the baseline and 6 and 12 months. A linear regression model was used to assess the percent change in BMI predictive of change in ALT and other metabolic parameters. Results: 281 charts were included. 71% of patients who had up to a 2.5% loss in BMI at 6 months had a decrease in ALT of up to 10 U/L compared to 43% patients who did not have a decrease in BMI up to 2.5% loss at the same time period (P=0.01). The linear regression model showed that 6-month and 12-month percent changes in BMI are predictive of 6-month and 12-month ALT changes (P=0.01 and 0.02), respectively. ALT normalization was achieved on 12% of patients with a ≥2.5% decrease in BMI at 6 months compared to 1% of patients that had no decrease of ≥2.5% decrease in BMI at 6 months (P=0.01). The mean BMI Z-score decline was 0.18 (P=0.001) in the group with a ≥2.5% decrease in BMI at 6 months. Conclusions: BMI loss of up to 2.5% and the mean BMI Z-score 0.18 are associated with a significant decrease in ALT of up to 10 U/L. BMI percent change at 6 months and 12 months is predictive of changes in ALT. These results should help guide providers in clinical practice set objective goals for the management of children with NAFLD resulting from obesity.

Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight.

OBJECTIVE AND AIMS: Identification of associations between the obese category of weight in the general US population will continue to advance our understanding of the condition and allow clinicians, providers, communities, families, and individuals make more informed decisions. This study aims to improve the prediction of the obese category of weight and investigate its relationships with factors, ultimately contributing to healthier lifestyle choices and timely management of obesity. METHODS: Questionnaires that included demographic, dietary, exercise and health information from the US National Health and Nutrition Examination Survey (NHANES 2017-2020) were utilized with BMI 30 or higher defined as obesity. A machine learning model, XGBoost predicted the obese category of weight and Shapely Additive Explanations (SHAP) visualized the various covariates and their feature importance. Model statistics including Area under the receiver operator curve (AUROC), sensitivity, specificity, positive predictive value, negative predictive value and feature properties such as gain, cover, and frequency were measured. SHAP explanations were created for transparent and interpretable analysis. RESULTS: There were 6,146 adults (age > 18) that were included in the study with average age 58.39 (SD = 12.94) and 3122 (51%) females. The machine learning model had an Area under the receiver operator curve of 0.8295. The top four covariates include waist circumference (gain = 0.185), GGT (gain = 0.101), platelet count (gain = 0.059), AST (gain = 0.057), weight (gain = 0.049), HDL cholesterol (gain = 0.032), and ferritin (gain = 0.034). CONCLUSION: In conclusion, the utilization of machine learning models proves to be highly effective in accurately predicting the obese category of weight. By considering various factors such as demographic information, laboratory results, physical examination findings, and lifestyle factors, these models successfully identify crucial risk factors associated with the obese category of weight.

Association between body mass index and prevalence of bacterial vaginosis: Results from the NHANES 2001-2004 study.

BACKGROUND: The impact of bacterial vaginosis on women's health is an increasing concern; however, the effect of the obesity index on bacterial vaginosis is controversial. We investigated the association between body mass index and bacterial vaginosis in women in the United States. METHODS: This was a cross-sectional study which obtained the data from the National Health and Nutrition Examination Survey from 2001 to 2004, in which weighted multivariate regression and logistic regression analyses were performed to explore the independent relationship between body mass index and bacterial vaginosis. Subgroup analyses and smoothed curve fitting were also performed. RESULTS: A total of 5,428 participants were enrolled, and the findings show that the participants with higher body mass index tended to have a higher incidence of bacterial vaginosis. In the fully adjusted model, a positive association between bacterial vaginosis and body mass index was observed (Odd's ratio = 1.03, 95% Confidence interval, 1.01-1.04). The subgroup analysis showed that this positive association was significant in non-Hispanic White individuals (Odd's ratio = 1.0327, 95% Confidence interval, 1.0163, 1.0493). CONCLUSION: Increased bacterial vaginosis positivity may be associated with an increased body mass index.

Impact of Skills for Change Program on metabolic control, diet and physical activity levels in adults with type 2 diabetes: A cluster randomized trial.

BACKGROUND: Type 2 diabetes mellitus is highly prevalent in the Arab Gulf countries. Despite this, limited culturally-adapted lifestyle intervention studies have been conducted in this region. METHODS: In this culturally adapted 12-month cluster randomized trial, 382 patients with type 2 diabetes, aged 20-70 years were recruited from 6 public healthcare centers (3 interventions and 3 controls) in Al Ain, United Arab Emirates. The primary outcome of this study was a change in hemoglobin A1c (HbA1c). The secondary outcomes were Body Mass Index (BMI), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, total cholesterol, dietary intake, and physical activity levels. A diet and physical activity intervention, guided by the social cognitive theory, was delivered individually and in group format to the intervention group. The control group continued receiving only their usual diabetes management care. The data were collected at baseline and 1 year after participation. RESULTS: The mean baseline HbA1c levels of the control and the intervention groups were 7.45 ± 0.11% and 7.81 ± 0.11%, respectively. At the end of the 12-month intervention, there was no significant difference in the changes of mean HbA1c between the intervention and the control groups. On the other hand, BMI and daily caloric intake were significantly decreased in the intervention compared to the control group by 1.18 kg/m2 (95% CI: -1.78 - -0.60) and 246 kcal (95% CI: -419.52 - -77.21), respectively, after controlling for age, gender, education, marital status, duration since diabetes diagnosis, diabetes treatment, treatment clinic, and baseline values. Sitting time during the week-end was significantly lower, difference 52.53 minutes (95% CI: 93.93 - -11.14). CONCLUSIONS: This community-based lifestyle intervention for patients with baseline HbA1c <8% did not result in a significant decrease of HbA1c but reduced caloric intake, body weight, and weekend inactivity after controlling for the covariates. TRIAL REGISTRATION: This trial was registered on February 11, 2020 with Clinicaltrials.gov (NCT04264793).

Association of body mass index and waist circumference with long-term mortality risk in 10,370 coronary patients and potential modification by lifestyle and health determinants.

BACKGROUND AND AIMS: Body adiposity is known to affect mortality risk in patients with coronary artery disease (CAD). We examined associations of body mass index (BMI) and waist circumference (WC) with long term mortality in Dutch CAD patients, and potential and effect modification of these associations by lifestyle and health determinants. METHODS: 10,370 CAD patients (mean age ∼65 y; 20% female; >80% on cardiovascular drugs) from the prospective Alpha Omega Cohort and Utrecht Cardiovascular Cohort-Secondary Manifestations of ARTerial disease study were included. Cox models were used to estimate categorical and continuous associations (using restricted cubic splines) of measured BMI and WC with all-cause and cardiovascular mortality risk, adjusting for age, sex, smoking, alcohol, physical activity and educational level. Analyses were repeated in subgroups of lifestyle factors (smoking, physical activity, diet quality), education and health determinants (diabetes, self-rated health). RESULTS: During ∼10 years of follow-up (91,947 person-years), 3,553 deaths occurred, including 1,620 from cardiovascular disease. U-shaped relationships were found for BMI and mortality risk, with the lowest risk for overweight patients (BMI ∼27 kg/m2). For obesity (BMI ≥30), the HR for all-cause mortality was 1.31 (95% CI: 1.11, 1.41) in male patients and 1.10 (95% CI: 0.92, 1.30) in female patients, compared to BMI 25-30 kg/m2. WC was also non-linearly associated with mortality, and HRs were 1.18 (95%CI:1.06, 1.30) in males and 1.31 (95%CI:1.05, 1.64) in females for the highest vs. middle category of WC. Results for cardiovascular mortality were mostly in line with the results for all-cause mortality. U-shaped associations were found in most subgroups, associations were moderately modified by physical activity, smoking and educational level. CONCLUSIONS: CAD patients with obesity and a large WC were at increased risk of long-term CVD and all-cause mortality, while mildly overweight patients had the lowest risk. These associations were consistent across subgroups of patients with different lifestyles and health status.

The association between caesarean section delivery and obesity at age 17 years. Evidence from a longitudinal cohort study in the United Kingdom.

BACKGROUND: Childhood and adolescent obesity are major, preventable public health concerns. Studies to date are inconclusive regarding an association between caesarean section (CS) delivery and offspring obesity, with fewer studies conducted in late adolescence. This study examined the association between CS delivery, with a specific focus on planned CS, and induction of labour and adolescent body mass index (BMI) and body fat percentage (BF%) at age 17 years. METHODS: Data on 8,880 mother-child pairs from the United Kingdom Millennium Cohort Study were analysed. The exposures were mode of delivery (normal vaginal delivery (VD) (reference), assisted VD, planned CS and emergency CS) and mode of delivery by induction of labour status. Crude and adjusted binary logistic regression and linear regression models were fitted examining BMI and BF% at age 17 years respectively, adjusting for several potential confounders. RESULTS: Adolescents born by CS did not have an elevated BMI or BF% compared to those born by normal VD. The fully adjusted results for overweight and obesity in children born by planned CS, compared to VD, were 1.05 (95% CI: 0.86-1.28) and 0.94 (95% CI: 0.72-1.23), respectively. The results were similar for the associations between CS and BF%, and between induction of labour and BMI. CONCLUSION: Overall, this large longitudinal study did not support an association between CS or induction of labour and overweight, obesity or BF%. It is possible that previously reported associations are due to residual or unmeasured confounding and/or underlying indications for CS delivery.

High risk of malnutrition among hospitalised coronavirus disease 2019 (COVID-19) patients is associated with mortality and other clinical outcomes.

INTRODUCTION: Increasing evidence indicates an association between nutritional status and Coronavirus disease 2019 (COVID-19) disease severity. The aim of the study was to describe the risk of malnutrition, body mass index (BMI) and vitamin D status of hospitalised COVID-19 patients and assess whether they are associated with duration of hospital stay, intensive care unit (ICU) admission, mechanical ventilation, and mortality. METHODS: The study is a descriptive retrospective study of 273 patients with COVID-19 admitted to Hospital from February 2020 to March 2021. Patients were screened for risk of malnutrition using a validated screening tool. BMI was calculated from height and weight. Insufficient Vitamin D status was defined as 25(OH)vitD <50 nmol/L. Logistic regression analysis was used to assess the association between indicators of nutritional status of patients with COVID-19, and outcomes such as duration of stay >7 days, ICU admission, mechanical ventilation, and mortality. Interaction between risk of malnutrition and BMI of ≥30 kg/m2 was assessed using the likelihood ratio test with hospital stay, ICU admission, mechanical ventilation, and mortality as outcomes. RESULTS: Screening for risk of malnutrition identified 201 (74%) patients at a medium to high risk of malnutrition. Patients defined as being at a medium or high risk of malnutrition were more likely to be hospitalised for >7 days compared to those defined as low risk (OR: 10.72; 95% CI: 3.9-29.46; p < 0.001 and OR: 61.57; 95% CI: 19.48-194.62; p < 0.001, respectively). All patients who were admitted to ICU (n = 41) and required mechanical ventilation (n = 27) were defined as having medium or high risk of malnutrition. High risk of malnutrition was also associated with increased odds of mortality (OR: 8.87; 955 CI 1.08-72,96; p = 0.042). BMI of ≥30 kg/m2 (43%) and 25(OH)vitD <50 nmol/L (20%) were not associated with duration of stay >7 days or mortality, although BMI ≥30 kg/m2 was associated with increased risk of ICU admission (OR: 7.12; 95% CI: 1.59-31.94; p = 0.010) and mechanical ventilation (OR: 8.86; 95% CI: 1.12-69.87; p = 0.038). Interactions between risk of malnutrition and BMI ≥30 kg/m2 were not significant to explain the outcomes of hospital stay >7 days, ICU admission, mechanical ventilation, or mortality. CONCLUSION: High risk of malnutrition among hospitalised COVID-19 patients was associated with longer duration of hospital stay, ICU admission, mechanical ventilation and mortality, and BMI ≥30 kg/m2 was associated with ICU admission and mechanical ventilation. Insufficient Vitamin D status was not associated with duration of hospital stay, ICU admission, mechanical ventilation, or mortality.

Characteristics and outcome of patients referred to a specialized outpatient clinic for the management of malnutrition: A retrospective audit.

BACKGROUND & AIMS: Insufficient screening and management of malnutrition leads to increase morbidity and mortality. AIMS: to evaluate the characteristics and clinical outcomes of malnourished patients referred to a specialized outpatient clinic for the management of malnutrition (primary); to compare the latter according to malnutrition severity; to determine the factors associated with severe malnutrition and mortality; to compare the consistency of the decided medical nutrition therapy with the European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines (secondary). METHODS: This retrospective, observational study included malnourished adults referred for the first time to the specialized nutrition consultation of a teaching University Hospital during 50 months. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition criteria, including body composition assessment by bioimpedance analysis. STATISTICS: Chi2 or Fisher, Student or Wilcoxon rank-sum tests; multivariable logistic regression to assess the factors associated with severe malnutrition and mortality. RESULTS: 108 malnourished adults were included: 74% had severe malnutrition. The main secondary diagnosis was digestive cancer (48.2%). During the follow-up (median = 70 days) after the first nutritional consultation, 11% of patients were admitted at hospital, 19% had infections and 23.1% died, without any difference according to malnutrition severity. Severely malnourished patients had lower body mass index, a smaller fat mass index (FMI) (4.6 ± 1.8 vs 6.0 ± 2.5 kg/m2; p = 0.01), and a higher level of total body water (64.7 ± 7.1 vs 60.6 ± 5.4%; p = 0.02), compared to moderately malnourished individuals. A low FMI (odds ratio = 0.72 [0.54-0.96]) was the only factor significantly associated with severe malnutrition. We did not find any factor associated with mortality. There was a moderate consistency (47.1%) between the decided medical nutrition therapy and the ESPEN guidelines of nutritional care. CONCLUSIONS: Adults referred for the first time to a specialized nutritional consultation present mostly with severe malnutrition and are at risk for significant complications, leading to a high mortality rate. In this population, a low FMI is associated with severe malnutrition. An earlier diagnosis and care of malnutrition and an earlier referral to clinical nutrition units would improve outcomes.

Nutritional status and clinical outcomes of brain tumor surgery in pediatric intensive care unit: A prospective cohort study.

BACKGROUND: To determine whether nutritional status affects mortality and length of stay in the pediatric intensive care unit (PICU) after brain tumor surgery. METHODS: Subjects aged 2 months to 13 years with brain tumor surgery were included in the study. Z-scores of BMI for age, weight for age, and weight for length were calculated at admission. Undernutrition was defined as Z-score < -2. Nutritional intake was measured daily by a clinical nutritionist. Outcomes to be measured included duration of hospitalization and mortality. Regression analyses was used to investigate the relationship between nutritional variables and outcomes. RESULTS: A total of 63 patients met the inclusion criteria. Undernutrition at admission was found in 33% of subjects based on Z-scores of BMI and weight for length. The mortality rate was 17.5%. Calorie and protein intake was <50% of the target in 50.7% and 42.8 % of children, respectively. Undernutrition by weight for age Z-score, BMI for age and weight for length Z-scores, and low protein intake increased mortality risk by 5, 5.9 and 4.7 times, respectively. The risk of shorter PICU-free days was independently 80% and 90% lower in those receiving <50% of protein and calorie requirements. CONCLUSION: Undernutrition at admission is prevalent in children undergoing brain tumor surgery and is associated with a higher risk of mortality. Caloric and protein intake during hospitalization is generally low, leading to longer PICU stay.

Dietary inflammatory index after liver transplantation: Associated effects and long-term outcomes.

BACKGROUND & AIMS: We examined the dietary inflammatory potential in patients who underwent liver transplantation (LTx), associated factors and its relationship with clinical outcomes ten years after the initial evaluation. METHODS: Dietary Inflammatory Index (DII®) scores were generated from data derived from the 24-h recall in 108 patients. RESULTS: Patients with higher DII scores (highest tertile), indicating a pro-inflammatory diet, had significantly higher serum LDL cholesterol (108.0 vs 78.2 mg/dL, p = <0.01) at the initial evaluation. However, DII scores did not significantly predict the occurrence of clinical outcomes after ten years of follow-up. Patient age was predictive of neoplasia (OR:1.05 95% CI:1.00-1.11; p = 0.03). Higher BMI at the initial evaluation was associated with steatosis (OR:1.51; 95% CI:1.29-1.77; p < 0.01), and smoking history was associated with the occurrence of cardiovascular events (OR:7.71; 95% CI:1.53-38.79; p = 0.01). CONCLUSIONS: A pro-inflammatory diet was associated with higher serum LDL cholesterol in the initial evaluation but may not be strongly related to clinical outcomes during long-term follow-up.