Obesity predisposes to the risk of higher mortality in young COVID-19 patients

Although emerging data demonstrated mortality of young COVID-19 patients, no data have reported the risk factors of mortality for these young patients, and whether obesity is a risk for young COVID-19 patients remains unknown. We conducted a retrospective study including 13 young patients who died of COVID-19 and 40 matched survivors. Logistic regression was employed to characterize the risk factors of mortality in young obese COVID-19 patients. Most of the young deceased COVID-19 patients were mild cases at the time of admission, but the disease progressed rapidly featured by a higher severity of patchy shadows (100.00% vs 48.70%; P = .006), pleural thickening (61.50% vs 12.80%; P = .012), and mild pericardial effusion (76.90% vs 0.00%; P < .001). Most importantly, the deceased patients manifested higher body mass index (odds ratio [OR] = 1.354; 95% confidence interval [CI] = 1.075-1.704; P = .010), inflammation-related index C-reactive protein (OR = 1.014; 95% CI = 1.003-1.025; P = .014), cardiac injury biomarker hs-cTnI (OR = 1.420; 95% CI = 1.112-1.814; P = .005), and increased coagulation activity biomarker D-dimer (OR = 418.7; P = .047), as compared with that of survivors. Our data support that obesity could be a risk factor associated with high mortality in young COVID-19 patients, whereas aggravated inflammatory response, enhanced cardiac injury, and increased coagulation activity are likely to be the mechanisms contributing to the high mortality.     

Gestational sleep deprivation is associated with higher offspring body mass index and blood pressure

Study ObjectivesThe objective of this study was to evaluate the association between gestational sleep deprivation and childhood adiposity and cardiometabolic profile.MethodsData were used from two population-based birth cohorts (Rhea study and Amsterdam Born Children and their Development study). A total of 3,608 pregnant women and their children were followed up until the age of 11 years. Gestational sleep deprivation was defined as 6 or fewer hours of sleep per day, reported by questionnaire. The primary outcomes included repeated measures of body mass index (BMI), waist circumference, body fat, serum lipids, systolic and diastolic blood pressure (DBP) levels in childhood. We performed a pooled analysis with adjusted linear mixed effect and Cox proportional hazards models. We tested for mediation by birthweight, gestational age, and gestational diabetes.ResultsGestational sleep deprivation was associated with higher BMI (beta; 95% CI: 0.7; 0.4, 1.0 kg/m²) and waist circumference (beta; 95% CI: 0.9; 0.1, 1.6 cm) in childhood, and increased risk for overweight or obesity (HR; 95% CI: 1.4; 1.1, 2.0). Gestational sleep deprivation was also associated with higher offspring DBP (beta; 95% CI: 1.6; 0.5, 2.7 mmHg). The observed associations were modified by sex (all p-values for interaction < 0.05); and were more pronounced in girls. Gestational diabetes and shorter gestational age partly mediated the seen associations.ConclusionsThis is the first study showing that gestational sleep deprivation may increase offspring’s adiposity and blood pressure, while exploring possible mechanisms. Attention to glucose metabolism and preterm birth might be extra warranted in mothers with gestational sleep deprivation.     

Eccentric Cycling Training Improves Health-Related Quality of Life in Adolescents with Obesity

IntroductionWhile eccentric (ECC) training appears to be more efficient than concentric (CON) training at improving body composition in adolescent with obesity, its impact on health-related quality of life (HRQOL) has never been studied.ObjectiveThe aim of this study is to compare the effects of 2 cycling training modalities, i.e., ECC vs. CON, in adolescents with obesity on HRQOL and health perception (HP).MethodsA total of 24 adolescents with obesity, aged 12–16 years, were randomized to either a 12-week ECC or a CON cycling training program performed at the same oxygen consumption (VO₂). Anthropometric measurements, body composition, maximal incremental tests, HRQOL (Vécu et Santé Percue de l''Adolescent [VSP-A], Medical Outcome Study Short Form [SF-36]), and HP were assessed at before and after training.Results and ConclusionBoth CON and ECC cycling trainings promoted significant improvements in BMI, VO_2peak, total fat mass, and fat-free mass, with better improvements in body composition parameters in the ECC group (p < 0.05). The VSP-A total score increased after CON (p < 0.01) and ECC (p < 0.001) training, with better enhancement for the ECC group (p < 0.05). The SF-36 physical score increased after both CON (p < 0.01) and ECC (p < 0.001) trainings. The global HP score increased only after ECC training (p < 0.001). Except for the energy-vitality item, no significant correlation was found between changes in HRQOL and its subdomains and anthropometric, body composition, and functional parameters. Both ECC and CON cycling trainings are associated with positive changes in HRQOL and HP. However, ECC seems to induce greater improvements in HRQL and HP than CON cycling training, which is probably not due to the anthropometric, body composition, and functional changes.     

Obesity,dyslipidemia, and high blood pressure are associated with cardiovascular risk,determined using high-sensitivity C-reactive protein concentration,in young adults

ObjectiveFew studies have investigated the relationships between high-sensitivity C-reactive protein (hs-CRP) concentration and conventional cardiometabolic markers in young adults. The aim of this study was to characterize the cardiometabolic profile of young adults who are at high cardiovascular risk, according to hs-CRP concentration.MethodsA cross-sectional study was conducted in 300 young adults (18 to 30 years old) from southern Mexico (n = 150 normal-weight and n = 150 obese). Their circulating lipid and glucose concentrations were measured using colorimetric enzymatic assays, and their hs-CRP, ApoA, and ApoB concentrations were measured using turbidimetric assays.ResultsThe most prevalent abnormalities in the participants with high cardiovascular risk, determined using an hs-CRP >28.57 nmol/L, were high waist circumference (85.7%), obesity (83.9%), high low-density lipoprotein-cholesterol (64.3%), low high-density lipoprotein-cholesterol (50%), Apo B in the highest tertile (39.3%), hypertriglyceridemia (35.7%), and high blood pressure (30.4%). In addition, there were strong associations between hs-CRP >28.57 nmol/L and obesity (odds ratio [OR] = 13.9), high waist circumference (OR = 8.0), hypertriglyceridemia (OR = 4.0), high blood pressure (OR = 3.4), hypercholesterolemia (OR = 2.8), and Apo B in the highest tertile (OR = 2.4).ConclusionThe principal cardiometabolic alterations associated with high cardiovascular risk, determined using hs-CRP, are obesity, dyslipidemia, and high blood pressure in young adults.     

Association of LXRα polymorphisms with obesity and obesity-related phenotypes in an Iranian population

Background: Obesity is a multifactorial disorder due to the complex interaction between genetic and environmental factors. Liver X receptor alpha (LXRα), encoded by the gene NR1H3, is involved in lipoprotein metabolism and its genetic variations may also play a role in the aetiology of obesity.

Aim: To assess the association of two NR1H3 polymorphisms (rs11039155 and rs2279238) and their haplotypes with obesity in an Iranian population.

Subjects and methods: A total of 447 unrelated subjects (including 206 overweight, 162 obese and 79 controls) were enrolled in the study and were genotyped by TaqMan assay using DNA from peripheral blood. The association of these two LXRα polymorphisms with the presence of obesity and overweight was assessed.

Results: There was no significant association between the two SNPs and obesity, even after adjustment for age and sex. By logistic regression using a dominant model, the odds ratios for obesity were: 1.32 (0.85–2.74) for rs11039155 and 0.77 (0.30--1.99) for rs2279238. Haplotype analyses identified three common haplotypes GC, GT and AC with frequency greater than 1%, but none of the haplotypes was associated with the risk of obesity.

Conclusions: This study revealed that there was no significant association between LXRα polymorphisms and the presence of obesity in an Iranian population and suggests that these two SNPs are not major contributors to obesity risk in this population.