Nordic Walking Rather Than High Intensity Interval Training Reduced Myostatin Concentration More Effectively in Elderly Subjects and the Range of This Drop Was Modified by Metabolites of Vitamin D.

The COVID-19 pandemic and subsequent self-isolation exacerbated the problem of insufficient amounts of physical activity and its consequences. At the same time, this revealed the advantage of vitamin D. Thus, there was a need to verify the effects of those forms of training that can be performed independently. In this study, we examined the effects of Nordic walking (NW) and high intensity interval training (HIIT) with regard to the impact of the metabolite vitamin D. We assigned 32 overweight adults (age = 61 ± 12 years) to one of two training groups: NW = 18 and HIIT = 14. Body composition assessment and blood sample collection were conducted before starting the training programs and a day after their completion. NW training induced a significant decrease in myostatin (p = 0.05) concentration; however, the range was dependent on the baseline concentrations of vitamin D metabolites. This drop was accompanied by a significant negative correlation with the decorin concentration. Unexpectedly, NW caused a decrement in both forms of osteocalcin: undercarboxylated (Glu-OC) and carboxylated-type (Gla-OC). The scope of Glu-OC changes was dependent on a baseline concentration of 25(OH)D2 (r = -0.60, p = 0.01). In contrast, the HIIT protocol did not induce any changes. Overall results revealed that NW diminished the myostatin concentration and that this effect is more pronounced among adults with a sufficient concentration of vitamin D metabolites.

Short and long-term effects of high-intensity interval training applied alone or with whole-body cryostimulation on glucose homeostasis and myokine levels in overweight to obese subjects.

Background: COVID-19 pandemic has exacerbated the problem of physical inactivity and weight gain. Consequently, new strategies to counteract weight gain are being sought. Because of their accessibility, interval training and cold therapy are the most popular such strategies. We here aimed to examine the effect of 6 units of high-intensity interval training (HIIT), applied alone or in combination with 10 sessions of whole-body cryotherapy (WBC; 3 min at -110 ∘C per session) on incretins, myokines, and adipokines levels. Materials and methods: The study involved 65 subjects (body mass index of approximately 30 kg•m-2). The subjects were randomly divided into training group (TR; n = 27) and training supported by WBC group (TR-WBC; n = 38). Blood samples were collected before, immediately following, and 4 weeks after the intervention. Results: Fibroblast growth factor 21 (FGF21) levels significantly increased (p = 0.03) and adiponectin levels increased in the TR group (p = 0.05) compared with those recorded in TR-WBC group 24 h after the end of experimental protocol. Beneficial changes in the lipid profile (p = 0.07), a significant drop in visfatin levels (p < 0.05), and the improvement in ß-cell function (HOMA-B; p = 0.02) were also observed in the TR group in the same time point of study. While TR-WBC did not induce similar changes, it ameliorated blood glucose levels (p = 0.03). Changes induced by both interventions were only sustained for 4 weeks after treatment. Conclusion: Collectively, HIIT, alone and in combination with WBC, positively affects metabolic indicators, albeit, most likely, different mechanisms drive the beneficial effects of different treatments.

Weight trajectories and abdominal adiposity in COVID-19 survivors with overweight/obesity.

BACKGROUND: COVID-19 is associated with unintentional weight loss. Little is known on whether and how patients regain the lost weight. We assessed changes in weight and abdominal adiposity over a three-month follow-up after discharge in COVID-19 survivors. METHODS: In this sub-study of a large prospective observational investigation, we collected data from individuals who had been hospitalized for COVID-19 and re-evaluated at one (V1) and three (V2) months after discharge. Patient characteristics upon admission and anthropometrics, waist circumference and hunger levels assessed during follow-up were analyzed across BMI categories. RESULTS: One-hundred-eighty-five COVID-19 survivors (71% male, median age 62.1 [54.3; 72.1] years, 80% with overweight/obesity) were included. Median BMI did not change from admission to V1 in normal weight subjects (-0.5 [-1.2; 0.6] kg/m2, p = 0.08), but significantly decreased in subjects with overweight (-0.8 [-1.8; 0.3] kg/m2, p < 0.001) or obesity (-1.38 [-3.4; -0.3] kg/m2, p < 0.001; p < 0.05 vs. normal weight or obesity). Median BMI did not change from V1 to V2 in normal weight individuals (+0.26 [-0.34; 1.15] kg/m2, p = 0.12), but significantly increased in subjects with overweight (+0.4 [0.0; 1.0] kg/m2, p < 0.001) or obesity (+0.89 [0.0; 1.6] kg/m2, p < 0.001; p = 0.01 vs. normal weight). Waist circumference significantly increased from V1 to V2 in the whole group (p < 0.001), driven by the groups with overweight or obesity. At multivariable regression analyses, male sex, hunger at V1 and initial weight loss predicted weight gain at V2. CONCLUSIONS: Patients with overweight or obesity hospitalized for COVID-19 exhibit rapid, wide weight fluctuations that may worsen body composition (abdominal adiposity). CLINICALTRIALS. GOV REGISTRATION: NCT04318366.

Overweight and Obesity are Risk Factors for Coronavirus Disease 2019: A Propensity Score-Matched Case-Control Study.

Although obesity is a risk factor for infection, whether it has the same effect on coronavirus disease 2019 (COVID-19) need confirming. We conducted a retrospective propensity score matched case-control study to examine the association between obesity and COVID-19. This study included data from the Nationwide COVID-19 Registry and the Biennial Health Checkup database, until May 30, 2020. We identified 2,231 patients with confirmed COVID-19 and 10-fold-matched negative test controls. Overweight (body mass index [BMI] 23 to 24.9 kg/m2; adjusted odds ratio [aOR], 1.16; 95% confidence interval [CI], 1.1.03 to 1.30) and class 1 obesity (BMI 25 to 29.9 kg/m2; aOR, 1.27; 95% CI, 1.14 to 1.42) had significantly increased COVID-19 risk, while classes 2 and 3 obesity (BMI ≥30 kg/m2) showed similar but non-significant trend. Females and those <50 years had more robust association pattern. Overweight and obesity are possible risk factors of COVID-19.

Clinical epidemiological analyses of overweight/obesity and abnormal liver function contributing to prolonged hospitalization in patients infected with COVID-19.

BACKGROUND/OBJECTIVES: During the 2019 coronavirus disease (COVID-19) outbreak, obesity may contribute to COVID-19 transmission and deterioration. In addition, many patients with COVID-19 infection have suffered liver damage which might contribute to a worse prognosis. We conducted a clinical epidemiological analysis to investigate the association of overweight/obesity and abnormal liver function (ALF) with hospitalized duration in patients infected with COVID-19. SUBJECTS/METHODS: Fifty-eight patients with diagnosed COVID-19 (22 women & 36 men; average age: 49.2 ± 13.1 yr) were included, and their clinical data were collected at The Second Affiliated and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang. Overweight/obesity was determined as body mass index (BMI) ≥24 kg/m2, ALF was determined as alanine aminotransferase >40 U/L, and prolonged hospitalization was lasting more than the median value of the hospitalized days (19 days) in this population. RESULTS: The proportions of prolonged hospitalization were elevated in patients with overweight/obesity and ALF compared with those without overweight/obesity (62.1% versus 26.1%, P = 0.010) and those without ALF (70.6% versus 41.5%, P = 0.043). Kaplan-Meier analysis showed that the hospitalized duration was increased from the patients with neither overweight/obesity nor ALF to those with either overweight/obesity or ALF, and to those with both of overweight/obesity and ALF (mean with 95% confidence interval: 16.4 [14.5-18.3] versus 25.3 [21.6-29.1] versus 28.3 [24.6-32.0], P for trend = 0.001). Being discharged from hospital in time was inversely and independently associated with BMI (hazard ratio [HR] = 0.75, 95% CI: 0.63-0.90, P for trend = 0.002) and ALT (HR = 0.95, 95% CI: 0.92-0.99, P for trend = 0.007). CONCLUSIONS: Present findings suggested that overweight/obesity and/or ALF contributed to predicting a probability of prolonged hospitalization in patients with COVID-19 infection, to whom extra attentions and precautions should be paid during clinical treatments.

BMI as a Risk Factor for Clinical Outcomes in Patients Hospitalized with COVID-19 in New York.

OBJECTIVE: This study examined the association between BMI and clinical outcomes among patients with coronavirus disease 2019 (COVID-19) infection. METHODS: A total of 10,861 patients with COVID-19 infection who were admitted to the Northwell Health system hospitals between March 1, 2020, and April 27, 2020, were included in this study. BMI was classified as underweight, normal weight, overweight, and obesity classes I, II, and III. Primary outcomes were invasive mechanical ventilation (IMV) and death. RESULTS: A total of 243 (2.2%) patients were underweight, 2,507 (23.1%) were normal weight, 4,021 (37.0%) had overweight, 2,345 (21.6%) had obesity class I, 990 (9.1%) had obesity class II, and 755 (7.0%) had obesity class III. Patients who had overweight (odds ratio [OR] = 1.27 [95% CI: 1.11-1.46]), obesity class I (OR = 1.48 [95% CI: 1.27-1.72]), obesity class II (OR = 1.89 [95% CI: 1.56-2.28]), and obesity class III (OR = 2.31 [95% CI: 1.88-2.85]) had an increased risk of requiring IMV. Underweight and obesity classes II and III were statistically associated with death (OR = 1.44 [95% CI: 1.08-1.92]; OR = 1.25 [95% CI: 1.03-1.52]; OR = 1.61 [95% CI: 1.30-2.00], respectively). Among patients who were on IMV, BMI was not associated with inpatient deaths. CONCLUSIONS: Patients who are underweight or who have obesity are at risk for mechanical ventilation and death, suggesting that pulmonary complications (indicated by IMV) are a significant contributor for poor outcomes in COVID-19 infection.

Weight Gain in a Sample of Patients Affected by Overweight/Obesity with and without a Psychiatric Diagnosis during the Covid-19 Lockdown.

The present study aimed at identifying psychological and psychosocial variables that might predict weight gain during the COVID-19 lockdown in patients affected by overweight/obesity with and without a psychiatric diagnosis. An online survey was administered between 25 April and 10 May 2020, to investigate participants' changes in dietary habits during the lockdown period. 110 participants were recruited and allocated to two groups, 63 patients had no psychiatric diagnosis; there were 47 patients with psychiatric diagnosis. ANOVA analyses compared the groups with respect to psychological distress levels, risk perception, social support, emotion regulation, and eating behaviors. For each group, a binary logistic regression analysis was conducted, including the factors that were found to significantly differ between groups. Weight gain during lockdown was reported by 31 of the participants affected by overweight/obesity without a psychiatric diagnosis and by 31 patients with a psychiatric diagnosis. Weight gain predictors were stress and low depression for patients without a psychiatric diagnosis and binge eating behaviors for patients with a psychiatric diagnosis. Of patients without a psychiatric diagnosis, 60% reported much more frequent night eating episodes. The risk of night eating syndrome in persons affected by overweight/obesity with no psychiatric diagnosis should be further investigated to inform the development of tailored medical, psychological, and psychosocial interventions.