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1.
Nutrients ; 16(4)2024 Feb 16.
Article in English | MEDLINE | ID: mdl-38398867

ABSTRACT

This systematic review aimed to analyze the available studies that identified overweight and/or obesity as a risk factor for mortality, use of respiratory support, and changes in biochemical markers in adults hospitalized with SARS-CoV-2. The PubMed, Web of Science, and Scopus databases were searched using PRISMA guidelines until January 2024. The protocol was registered with PROSPERO (code: CRD42024501551). Of the 473 articles, only 8 met the inclusion criteria (e.g., adult individuals aged 18 or over diagnosed with COVID-19 individuals with overweight and/or obesity). In addition, the Downs and Black tool was used to assess the quality of the studies. The studies analyzed totaled 9782 adults hospitalized for COVID-19, indicating that overweight and obesity are present in more than half of adults. Diseases such as diabetes mellitus and hypertension are more prevalent in adults with obesity. The systematic review also highlighted that a higher incidence of respiratory support is related to a higher incidence of hospitalization in intensive care units and that adults with overweight and obesity have a higher risk of mortality from COVID-19. Biochemical markers such as procalcitinin, C-reactive protein, and interleukin-6 are associated with the severity of COVID-19 infection. This systematic review exposed overweight and/or obesity as a risk factor for worse COVID-19 disease, as well as for the need for intensive care, respiratory support, mortality, and changes in essential blood markers.


Subject(s)
COVID-19 , SARS-CoV-2 , Adult , Humans , Biomarkers , COVID-19/complications , Obesity/complications , Obesity/epidemiology , Overweight/complications , Risk Factors
2.
Article in English | MEDLINE | ID: mdl-37887692

ABSTRACT

Adolescence is a complex period of human development in which young people are susceptible to unhealthy behaviors, such as physical inactivity and an unbalanced diet. This study aimed to analyze the effects of 12 weeks of multi-disciplinary family and individual intervention on cardiometabolic risk parameters in overweight and obese adolescents and compare sub-groups, considering possible differences between sexes (males vs. females vs. intervention approach). Forty-three adolescents (13.73 ± 2.46 years old) of both sexes were divided into two groups: family group (FG) (n = 21; 14.24 ± 2.61 years old) and individual group (IG) (n = 22; 13.23 ± 2.27 years old). The following parameters were evaluated: anthropometry (body weight, height, waist circumference (WC), hip circumference (HC), abdominal circumference (AC), calculation of body mass index (BMI), and waist-hip ratio (WHR)), body composition (fat mass (FM), lean mass (LM), fat-free mass (FFM), skeletal muscle mass (SMM), body fat percentage (BF), and visceral fat), biochemical measures (fasting glucose, triglycerides (TG), total cholesterol (TC), low-density lipoproteins (LDL-c), and high-density lipoproteins (HDL-c)), and the measurement of systolic and diastolic blood pressure (SBP and DBP) before and after the interventions. The multi-disciplinary interventions occurred for 12 weeks (three days a week lasting 1 h and 30 min, in which 30 min were dedicated to theoretical interventions (nutrition: nutritional education and psychology: psychoeducation) and 1 h to physical exercises. A time effect was observed for LM, FFM, SMM, FM, and HDL-c, with higher values after intervention and a significant decrease for FM, BF, visceral fat, fasting glucose, TG, TC, LDL-c, and DBP (p < 0.05). However, no group, sub-group, or interaction effects were observed when comparing FG, IG, or sexes (p > 0.05). The responses of the present study show that both multi-disciplinary approaches (family and individual) promoted improvement in the body composition indicators, biochemical markers, and DBP of overweight and obese adolescents independently of the intervention group. Given this finding, health professionals, families, and adolescents could choose the type of intervention based on their preferences.


Subject(s)
Cardiovascular Diseases , Pediatric Obesity , Adolescent , Child , Female , Humans , Male , Body Mass Index , Body Weight/physiology , Cardiovascular Diseases/prevention & control , Cholesterol, LDL , Glucose , Lipoproteins, HDL , Overweight/therapy , Triglycerides , Waist Circumference
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