Changes in lifestyle, adiposity, and cardiometabolic markers among young adults in Sweden during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has impacted on public health in several ways. The aim of the study was to investigate changes in lifestyle, adiposity, and cardiometabolic markers among young adults in Sweden during the COVID-19 pandemic and their determinants. METHODS: The study included 1 004 participants from the population-based birth cohort BAMSE. Anthropometrics, body composition (bioelectric impedance analyses), pulse, and blood pressure were measured before (December 2016-May 2019; mean age 22.6 years) and during (October 2020-June 2021; mean age 25.7 years) the COVID-19 pandemic. Lifestyle changes during the pandemic were assessed through a questionnaire. RESULTS: All measures of adiposity (weight, BMI, body fat percentage, trunk fat percentage) and cardiometabolic markers (blood pressure, pulse) increased during the study period (e.g., body fat percentage by a median of + 0.8% in females, p < 0.001, and + 1.5% in males, p < 0.001). Male sex, non-Scandinavian ethnicity, BMI status (underweight and obesity), and changes in lifestyle factors, e.g., decreased physical activity during the pandemic, were associated with higher increase in BMI and/or adiposity. CONCLUSION: Lifestyle factors, adiposity and cardiometabolic markers may have been adversely affected among young adults in Sweden during the COVID-19 pandemic compared with the preceding years. Targeted public health measures to reduce obesity and improve healthy lifestyle are important to prevent future non-communicable diseases.

Apple-shaped obesity: A risky soil for cytokine-accelerated severity in COVID-19.

Obesity has been recognized as one of the most significant risk factors for the deterioration and mortality associated with COVID-19, but the significance of obesity itself differs among ethnicity. Multifactored analysis of our single institute-based retrospective cohort revealed that high visceral adipose tissue (VAT) burden, but not other obesity-associated markers, was related to accelerated inflammatory responses and the mortality of Japanese COVID-19 patients. To elucidate the mechanisms how VAT-dominant obesity induces severe inflammation after severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection, we infected two different strains of obese mice, C57BL/6JHamSlc-ob/ob (ob/ob), C57BLKS/J-db/db (db/db), genetically impaired in the leptin ligand and receptor, respectively, and control C57BL/6 mice with mouse-adapted SARS-CoV-2. Here, we revealed that VAT-dominant ob/ob mice were extremely more vulnerable to SARS-CoV-2 due to excessive inflammatory responses when compared to SAT-dominant db/db mice. In fact, SARS-CoV-2 genome and proteins were more abundant in the lungs of ob/ob mice, engulfed in macrophages, resulting in increased cytokine production including interleukin (IL)-6. Both an anti-IL-6 receptor antibody treatment and the prevention of obesity by leptin replenishment improved the survival of SARS-CoV-2-infected ob/ob mice by reducing the viral protein burden and excessive immune responses. Our results have proposed unique insights and clues on how obesity increases the risk of cytokine storm and death in patients with COVID-19. Moreover, earlier administration of antiinflammatory therapeutics including anti-IL-6R antibody to VAT-dominant patients might improve clinical outcome and stratification of the treatment for COVID-19, at least in Japanese patients.

Adipose tissue, systematic inflammation, and neurodegenerative diseases

Obesity is associated with several diseases, including mental health. Adipose tissue is distributed around the internal organs, acting in the regulation of metabolism by storing and releasing fatty acids and adipokine in the tissues. Excessive nutritional intake results in hypertrophy and proliferation of adipocytes, leading to local hypoxia in adipose tissue and changes in these adipokine releases. This leads to the recruitment of immune cells to adipose tissue and the release of pro-inflammatory cytokines. The presence of high levels of free fatty acids and inflammatory molecules interfere with intracellular insulin signaling, which can generate a neuroinflammatory process. In this review, we provide an up-to-date discussion of how excessive obesity can lead to possible cognitive dysfunction. We also address the idea that obesity-associated systemic inflammation leads to neuroinflammation in the brain, particularly the hypothalamus and hippocampus, and that this is partially responsible for these negative cognitive outcomes. In addition, we discuss some clinical models and animal studies for obesity and clarify the mechanism of action of anti-obesity drugs in the central nervous system.Copyright © 2023 Wolters Kluwer Medknow Publications. All rights reserved.

Social determinants of health, health disparities, and adiposity.

Social determinants of health (SDoH), or the socioeconomic, environmental, and psychosocial conditions in which individuals spend their daily lives, substantially influence obesity as a cardiovascular disease (CVD) risk factor. The coronavirus disease 2019 (COVID-19) pandemic highlighted the converging epidemics of obesity, CVD, and social inequities globally. Obesity and CVD serve as independent risk factors for COVID-19 severity and lower-resourced populations most impacted by adverse SDoH have the highest COVID-19 mortality rates. Better understanding the interplay between social and biologic factors that contribute to obesity-related CVD disparities are important to equitably address obesity across populations. Despite efforts to investigate SDoH and their biologic effects as drivers of health disparities, the connections between SDoH and obesity remain incompletely understood. This review aims to highlight the relationships between socioeconomic, environmental, and psychosocial factors and obesity. We also present potential biologic factors that may play a role in the biology of adversity, or link SDoH to adiposity and poor adipo-cardiology outcomes. Finally, we provide evidence for multi-level obesity interventions targeting multiple aspects of SDoH. Throughout, we emphasize areas for future research to tailor health equity-promoting interventions across populations to reduce obesity and obesity-related CVD disparities.

Effect of circulating ceramides on adiposity and insulin resistance in patients with type 2 diabetes: An observational cross-sectional study.

INTRODUCTION: Insulin resistance (IR) is one of the common chronic metabolic disorders in Africa and elsewhere. Accumulation of lipids in the body may be due to an imbalance in the metabolism of lipids, glucose and proteins. Ceramides are a sphingolipid class of lipids that are biologically active and vital in the production of more complex lipids. Circulating ceramides are thought to have a role in the development of obesity-related IR, although the precise involvement remains unclear. AIM: To investigate the impact of circulating ceramide on IR and body adiposity in people with and without type 2 diabetes mellitus (T2DM). METHODOLOGY: The study was observational and cross-sectional. There were a total of 84 volunteers with T2DM and 75 nondiabetics (control). The participants' ages, body mass indexes (BMI), waist circumferences, and blood pressure (BP) were among the clinical parameters assessed. Ceramide levels, fasting plasma glucose (FPG), lipids, basal insulin levels and glycated haemoglobin (HbA1c) were also measured. Additionally, the homeostatic model assessment for IR (HOMA-IR) and beta cell function (HOMA-ß) were computed. RESULTS: T2DM and control participants had different mean values for anthropometric parameters, BP, FPG, HbA1c, lipids, insulin, HOMA-IR, HOMA-ß and ceramide levels (p < .05 for all). HOMA-IR, HOMA-ß and cardiovascular risk were significant correlates with ceramide levels in the T2DM group (r = 0.24; -0.34; 0.24, p < .05, respectively). Further, FPG (OR = 1.83, p = .01) and ceramide (OR = 1.05, p = .01) levels were significant predictors of IR in the case group. CONCLUSION: Patients with T2DM exhibited high ceramide concentrations, which, when combined with high FPG, were associated with IR. The consequences of circulating ceramides in health and disease; however, merit further research.

Relationship Between Body Composition and Death in Patients with COVID-19 Differs Based on the Presence of Gastrointestinal Symptoms.

BACKGROUND: Patients with SARS-CoV-2 who present with gastrointestinal symptoms have a milder clinical course than those who do not. Risk factors for severe COVID-19 disease include increased adiposity and sarcopenia. AIMS: To determine whether body composition risk factors are associated with worse outcomes among patients with gastrointestinal symptoms. METHODS: This was a retrospective study of hospitalized patients with COVID-19 who underwent abdominal CT scan for clinical indications. Abdominal body composition measures including skeletal muscle index (SMI), intramuscular adipose tissue index (IMATI), visceral adipose tissue index (VATI), subcutaneous adipose tissue index (SATI), visceral-to-subcutaneous adipose tissue ratio (VAT/SAT ratio), and liver and spleen attenuation were collected. The association between body composition measurements and 30-day mortality was evaluated in patients with and without gastrointestinal symptoms at the time of positive SARS-CoV-2 test. RESULTS: Abdominal CT scans of 190 patients with COVID-19 were evaluated. Gastrointestinal symptoms including nausea, vomiting, diarrhea, or abdominal pain were present in 117 (62%). Among patients without gastrointestinal symptoms, those who died had greater IMATI (p = 0.049), less SMI (p = 0.010), and a trend toward a greater VAT/SAT ratio. Among patients with gastrointestinal symptoms, those who died had significantly greater IMATI (p = 0.025) but no differences in other measures. CONCLUSIONS: Among patients with COVID-19, those without gastrointestinal symptoms showed the expected associations between mortality and low SMI, high IMATI, and trend toward higher VAT/SAT ratio, but those with gastrointestinal symptoms did not. Future studies should explore the mechanisms for the altered disease course in patients with COVID-19 who present with gastrointestinal symptoms.

Increased Incidence of Precocious Puberty in Girls During COVID-19 Pandemic: Early Indicator of the Upcoming Childhood Metabolic Syndrome Pandemic?

To evaluate retrospectively the incidence of central precocious puberty (CPP) during the COVID 19 lockdown and comparing the data with the corresponding data from the previous 2 years. The study included 23 girls with CPP and 14 patients with early puberty. Nineteen patients were newly diagnosed with CPP compared to 4 patients diagnosed with CPP during the previous 2 years. The number of new patients diagnosed with CPP was significantly higher than the mean during the previous 2 years (P < .001). There were more overweight patients with CPP during and after the lockdown (P < .05). These patients had also increased uterus length (P < .05) and more advanced bone age (P < .05). The increase in the incidence of central precocious puberty during and after the lockdown due to COVID 19 can be considered a serious consequence of the increased fat mass and an early indicator of the worsening of childhood obesity.

Osteosarcopenic Adiposity and Nutritional Status in Older Nursing Home Residents during the COVID-19 Pandemic.

The aim was to evaluate body composition and prevalence of osteosarcopenic adiposity (OSA) in nursing home residents (NHR) and to assess their nutritional status. This research builds on our pilot study (conducted prior COVID-19 pandemic) that revealed high OSA prevalence and poor nutritional status in NHR. The current study included newly recruited n = 365 NHR; 296 women, 69 men, aged 84.3 ± 5.6 and 83.1 ± 7.3 years, respectively. Body composition was measured by bioelectrical impedance BIA-ACC®, yielding total bone mass along with all components of lean and adipose tissues. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to assess nutritional status. Participants reported about their present/past diseases, including COVID-19. Mean duration of stay in nursing homes was 46.3 ± 47.0 months. Approximately 30% of participants had COVID-19 prior (median 6.7 months) to entering the study. OSA was diagnosed in 70.8% women and 47.8% men (p < 0.001). Malnourishment was detected in 5.8% women and 6.2% men while the risk of malnourishment was found in 30.8% women and 30.0% men. No significant differences in age, body composition parameters, prevalence of OSA, malnutrition/risk for malnutrition were found in participants who had COVID-19 compared to those who did not. Regression analysis showed that intramuscular adipose tissue (%) was significantly positively, while bone mass was significantly negatively associated with OSA. In this population, the high prevalence of OSA coincided with the high prevalence of malnutrition/risk of malnutrition. Such unfavorable body composition status is more likely a consequence of potentially poor diet quality in nursing homes, rather than of health hazards caused by COVID-19.

The joint associations of physical activity and TV viewing time with COVID-19 mortality: An analysis of UK Biobank.

We used logistic regression to investigate the joint associations of physical activity level (high: ≥3000 MET-min/week, moderate: ≥600 MET-min/week, low: not meeting either criteria) and TV viewing time (low: ≤1 h/day, moderate: 2-3 h/day, high: ≥4 h/day) with COVID-19 mortality risk in UK Biobank. Additional models were performed with adjustment for body mass index (BMI) and waist circumference. Within the 373, 523 included participants, there were 940 COVID-19 deaths between 16 March 2020 and 12 November 2021. Compared to highly active individuals with a low TV viewing time, highly active individuals with a high TV viewing time were at significantly higher risk of COVID-19 mortality (odds ratio = 1.54, 95% confidence interval = 1.11-2.15). However, the greatest risk was observed for the combination of a low physical activity level and a high TV viewing time (2.29, 1.63-3.21). After adjusting for either BMI or waist circumference, only this latter combination remained at a significantly higher risk, although the effect estimate was attenuated by 43% and 48%, respectively. In sum, a high TV viewing time may be a risk factor for COVID-19 mortality even amongst highly active individuals. Higher adiposity appears to partly explain the elevated risk associated with a low physical activity level and a high TV viewing time.

The Intestinal Microbiota and Short-Chain Fatty Acids in Association with Advanced Metrics of Glycemia and Adiposity Among Young Adults with Type 1 Diabetes and Overweight or Obesity.

Background: Comanagement of glycemia and adiposity is the cornerstone of cardiometabolic risk reduction in type 1 diabetes (T1D), but targets are often not met. The intestinal microbiota and microbiota-derived short-chain fatty acids (SCFAs) influence glycemia and adiposity but have not been sufficiently investigated in longstanding T1D. Objectives: We evaluated the hypothesis that an increased abundance of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity were associated with improved glycemia but increased adiposity in young adults with longstanding T1D. Methods: Participants provided stool samples at ≤4 time points (NCT03651622: https://clinicaltrials.gov/ct2/show/NCT03651622). Sequencing of the 16S ribosomal RNA gene measured abundances of SCFA-producing intestinal microbes. GC-MS measured total and specific SCFAs (acetate, butyrate, propionate). DXA (body fat percentage and percentage lean mass) and anthropometrics (BMI) measured adiposity. Continuous glucose monitoring [percentage of time in range (70-180 mg/dL), above range (>180 mg/dL), and below range (54-69 mg/dL)] and glycated hemoglobin (i.e., HbA1c) assessed glycemia. Adjusted and Bonferroni-corrected generalized estimating equations modeled the associations of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity with glycemia and adiposity. COVID-19 interrupted data collection, so models were repeated restricted to pre-COVID-19 visits. Results: Data were available for ≤45 participants at 101 visits (including 40 participants at 54 visits pre-COVID-19). Abundance of Eubacterium hallii was associated inversely with BMI (all data). Pre-COVID-19, increased fecal propionate was associated with increased percentage of time above range and reduced percentage of time in target and below range; and abundances of 3 SCFA-producing taxa (Ruminococcus gnavus, Eubacterium ventriosum, and Lachnospira) were associated inversely with body fat percentage, of which two microbes were positively associated with percentage lean mass. Abundance of Anaerostipes was associated with reduced percentage of time in range (all data) and with increased body fat percentage and reduced percentage lean mass (pre-COVID-19). Conclusions: Unexpectedly, fecal propionate was associated with detriment to glycemia, whereas most SCFA-producing intestinal microbes were associated with benefit to adiposity. Future studies should confirm these associations and determine their potential causal linkages in T1D.This study is registered at clinical.trials.gov (NCT03651622; https://clinicaltrials.gov/ct2/show/NCT03651622).

Relationship between the Duration of Urban Nature and a Lower Waist-Hip Ratio.

Obesity is a prevalent health issue. Evidence suggests that the availability of urban nature may reduce the risks of obesity. However, several knowledge gaps remain. This study explores the relationships between the dose (distance, duration and frequency) of urban nature and demographic factors towards obesity risks among people in Thailand. A total of 111 participants in three urban and peri-urban nature locations answered a survey regarding their distance from green spaces, frequency of visits, and duration of their typical stay, as well as their socio-demographics, and waist-hip ratio (WHR). The results suggested that at least 1-2 h per typical visit to nature predicted low-risk WHR in women. Male participants are more likely to have a high-risk WHR. Increasing age predicted low-risk WHR. Spending more time in green spaces predicted lower odds of high-risk WHR, while distance did not predict the odds. This research is one of the first to study the relationship between time spent in nature and obesity, and one of the first nature and health studies conducted in Thailand. Given that Thailand is one of the countries most affected by obesity in Southeast Asia, this study is relevant and essential. Future research should explore the quality factors of the park with longer duration of stay.

Television Viewing Time, Overweight, Obesity, and Severe COVID-19: A Brief Report From UK Biobank.

BACKGROUND: Overweight and obesity are well-established risk factors for COVID-19 severity; however, less is known about the role of sedentary behaviors such as television (TV) viewing. The purpose of this brief report was to determine whether lower TV viewing time may mitigate the risk of severe COVID-19 in individuals with excess weight. METHODS: We analyzed 329,751 UK Biobank participants to investigate the independent and combined associations of BMI and self-reported TV viewing time with odds of severe COVID-19 (inpatient COVID-19 or COVID-19 death). RESULTS: Between March 16 and December 8, 2020, there were 1648 instances of severe COVID-19. Per 1-unit (hours per day) increase in TV viewing time, the odds of severe COVID-19 increased by 5% (adjusted odds ratio = 1.05, 95% confidence interval = 1.02-1.08). Compared with normal-weight individuals with low (≤1 h/d) TV viewing time, the odds ratios for overweight individuals with low and high (≥4 h/d) TV viewing time were 1.17 (0.89-1.55) and 1.66 (1.31-2.11), respectively. For individuals with obesity, the respective ORs for low and high TV viewing time were 2.18 (1.61-2.95) and 2.14 (1.69-2.73). CONCLUSION: Higher TV viewing time was associated with higher odds of severe COVID-19 independent of BMI and moderate to vigorous physical activity. Additionally, low TV viewing time may partly attenuate the elevated odds associated with overweight, but not obesity.

Prognostic Impact of Myosteatosis on Mortality in Hospitalized Patients with COVID-19.

Body composition, including sarcopenia, adipose tissue, and myosteatosis, is associated with unfavorable clinical outcomes in patients with coronavirus disease (COVID-19). However, few studies have identified the impact of body composition, including pre-existing risk factors, on COVID-19 mortality. Therefore, this study aimed to evaluate the effect of body composition, including pre-existing risk factors, on mortality in hospitalized patients with COVID-19. This two-center retrospective study included 127 hospitalized patients with COVID-19 who underwent unenhanced chest computed tomography (CT) between February and April 2020. Using the cross-sectional CT images at the L2 vertebra level, we analyzed the body composition, including skeletal muscle mass, visceral to subcutaneous adipose tissue ratio (VSR), and muscle density using the Hounsfield unit (HU). Of 127 patients with COVID-19, 16 (12.6%) died. Compared with survivors, non-survivors had low muscle density (41.9 vs. 32.2 HU, p < 0.001) and high proportion of myosteatosis (4.5 vs. 62.5%, p < 0.001). Cox regression analyses revealed diabetes (hazard ratio [HR], 3.587), myosteatosis (HR, 3.667), and a high fibrosis-4 index (HR, 1.213) as significant risk factors for mortality in patients with COVID-19. Myosteatosis was associated with mortality in hospitalized patients with COVID-19, independent of pre-existing prognostic factors.

EXAMINING THE ASSOCIATION OF TRAIT SLEEP REACTIVITY WITH CHANGES IN SLEEP, DEPRESSION, AND ANXIETY IN THE COVID-19 PANDEMIC

Introduction: Sleep Reactivity (SR), a trait-like tendency for stressful events to trigger sleep disturbances, is an established diathesis for insomnia and depression. However, no studies to date have examined SR in the context of the COVID-19 pandemic and it's related restrictions. Thus, the goal of this analysis is to test whether SR confers a vulnerability for greater sleep and mood symptoms due to the stress of COVID-19 and it's related restrictions. We hypothesized that (1) The onset of the pandemic will trigger greater increases in insomnia symptoms in highly sleep reactive individuals. 2) Sleep-reactive individuals would experience reduced recovery of insomnia, anxiety, and depression symptoms over the course of the pandemic. Methods: SR, insomnia, anxiety, and depressive symptoms were assessed by the Ford Insomnia Response to Stress Test (FIRST), Insomnia Severity Index (ISI), Beck Anxiety Inventory (BAI), and Beck Depression Inventory (BDI II), respectively, at two time points (early-pandemic, 6-month follow-up). Additionally, participants retrospectively reported ISI prior to the pandemic. N = 253 adults from Stanford's COVID-19 Pandemic Sleep Study (April-November 2020) provided baseline insomnia measures, and were excluded if they reported pre-pandemic clinical insomnia (ISI >10). Rankedcorrelation tests were used to test the current hypotheses. Paired t-tests were used to evaluate changes in mean insomnia, depression, and anxiety scores. Covariates included essential worker status, sex, and age. Results: ISI after COVID-19 was significantly higher than retrospective, pre-pandemic ISI (t = 8.2, d = 0.55, p < 0.0001). However, SR was not significantly correlated with the pandemic-related increase in ISI (ρ = 0.07, p = 0.34). Depression significantly increased after 6-months (t = 2.0, d = 0.27, p = 0.047), whereas anxiety did not (t = 1.7, d = 0.26, p = 0.10). Neither changes in depression nor anxiety were predicted by SR (Depression: ρ = 0.15, p = 0.32;Anxiety: ρ = -0.13, p = 0.40). Conclusion: Insomnia and depression, but not anxiety, increased with the onset of the pandemic. However, trait SR was not a predisposing factor for pandemic-related sleep and mood changes. This is the first analysis examining SR as a risk factor for insomnia and mood symptoms in the pandemic.

Osteosarcopenic adiposity

Osteosarcopenic adiposity (OSA), also known as osteosarcopenic obesity (OSO) syndrome, is a condition with simultaneous deterioration of bone (osteopenia/osteoporosis) and muscle (sarcopenia/dynapenia) and increased presence of adipose tissue, either as an overt overweight/obesity and/or as redistributed fat and/or as infiltrated fat into bone and muscle. Based on the interconnectedness among bone, muscle, and adipose tissues, we provide proof for OSA existence on the cellular, endocrine, and whole-body levels, with subsequent clinical/health consequences. The identification of OSA is discussed along with some available technologies for its diagnosis. Further, we review the newest literature published on the OSA syndrome, along with its multiple health consequences and importance to address this syndrome in the time of the COVID-19 pandemic. We emphasize the presence of some underlining comorbidities, including low-grade chronic inflammation and chronic stress that could potentially initiate or worsen OSA. Finally, we give brief recommendations for nutritional and physical activity approaches that could be personalized for each individual, to help with either preventing or managing the OSA syndrome. © 2022 Elsevier Inc. All rights reserved.

NEUROPSYCHOLOGIC PERFORMANCE FOLLOWING COVID-19: PREVALENCE and PREDICTORS

Background: Insomnia, mood decline, anxiety, and cognitive impairment are described following COVID-19, and the mechanisms underlying these symptoms are not fully clarified. Aims of this analysis were to describe prevalence and predictors of impaired neuropsychological performance after COVID-19. Methods: We included patients referred to the post-COVID19 service with and without a previous hospitalization (PH and nPH, respectively) assessed at 3,6 and 12 months (3M,6M,12M) post-COVID19. Patients underwent to a comprehensive neuropsychological assessment using a standardized battery of 10 tests across 4 domains (speed of information processing, /executive, attention/working memory, memory). Neurocognitive impairment (NCI) was defined by: score >1 standard deviation (SD) below the mean on at least 2 tests, or >2 SD below 1 test. Change in NPZ-10 (mean, SD) was analyzed as an outcome. In addition, the Beck Anxiety Inventory (BAI), the Beck Depression Inventory (BDI) and the Pittsburgh Sleep Quality Index (PSQI) were administered. Mann-Whitney and Chi-square tests were used for comparisons, and logistic and linear regression were used to identify factors associated with test results. Results: N=302 participants: median age of 55 years (IQR 47-61), 52% female, median education of 13 yrs (13-18), 63% with >1 comorbidity, 58% PH (mainly males, higher age and higher BMI vs nPH). Overall, the prevalence of NCI was 42%, higher in PH vs nPH (46% vs 36%;p=0.07) (Figure 1a) with a not statistically significant mean decrease of NPZ10 [-0.12 (0.49)]. More in detail, we observed a significant decrease of z-score in the speed of information processing domain in PH vs nPH [-0.29(0.48) vs-0.12(0.31);p<0.001]. NCI prevalence resulted significantly higher in PH vs nPH only at 3M (Figure 1b). A higher proportion of nPH vs PH complained anxiety (BAI>85%) at 3M [55.6% vs 31.4%);p=0.028], sleep disturbances were more frequent in PH vs nPH at 3 and 12M (Figure 1d,c). Male gender appear to be the only associated factor with a lower alteration of BAI>85% and PSQI>5 [OR 0.28 (0.12-0.65);p=0.003;0.22 (0.09-0.52);p=0.001;respectively]. No predictors of NCI or BDI>85% were found. Conclusion: Our preliminary data show a consistent prevalence of NCI, significantly higher in PH vs nPH. This finding remains quite stable up to 12 months of observation. Also a worse sleep quality in PH was observed. Women seem to be at higher risk of anxiety-depressive and sleep disorders than men.

POST-COVID19 QUALITY of LIFE: LOW SATISFACTION with PHYSICAL and MENTAL HEALTH STATUS

Background: After the acute phase of infection, new, recurring or ongoing symptoms related to COVID19 may persist for weeks or months. Aims of our study were to size the impact of these symptoms on physical (PH) and mental (MH) health status and quality of life (QoL), reported by patients (pts), and to investigate factors influencing the perception of PH, MH, and QoL. Methods: We included pts referred to the post-COVID19 outpatient service, with and without prior hospitalization (PHosp), evaluated at 3,6 and 12 months after the acute infection. Demographic, clinical and pharmacological data were collected in an electronic system. At each visit, the Short-Form 36-item questionnaire (SF-36), assessing the perception of PH and MH, and the Visual Analogue Scale (VAS), ranging from 0 to 100, of the EQ5D, assessing QoL, were administered. Student's T-test was employed for comparisons and linear regression was used to identify factors associated with PH, MH, and QoL. In a subgroup of patients, we assessed the presence of anxiety and depressive symptoms and sleep disturbances through the Beck Anxiety Inventory (BAI), the Beck Depression Inventory (BDI II) and the Pittsburgh Sleep Quality Index (PSQI) questionnaires, respectively. Results: Out of a total of 914 assessments, we considered the first one of each pt (n=572): median (IQR) age of 55 years (47-62), 53% male, 38% with at least 1 comorbidity, 54% with PHosp, median distance from acute infection of 4.8 months (3.6-7.1). The mean of each subscale assessed in SF-36 was significantly lower than the normative values of the Italian population (Figure 1) and it remained stable over time. Female gender, the presence of comorbidities, and the use of corticosteroids during the acute infection were associated with a worse perception of PH, MH, and QoL;pts with PHosp reported a better MH overall (Figure 2). Alterations in BAI, BDI II, and PSQI were associated with worse perceptions of PH, MH, and HRQoL, in the subgroup of 265 patients in whom they were evaluated. Conclusion: In our study, post-COVID19 pts reported a significantly worse perception of PH and MH status compared to the Italian normative group, and a higher risk was demonstrated for female pts, pts with comorbidities and pts treated with corticosteroids. Moreover, the presence of anxious-depressive symptoms and poor sleep quality was correlated to a worse perception of health status and QoL. A systematic monitoring of these aspects is mandatory to properly manage pts in the post-COVID19 period.

MENTAL HEALTH & ALCOHOL USE in PEOPLE with & WITHOUT HIV before & during COVID-19

Background: Increases in the prevalence of mental health symptoms during global pandemics have been observed. We hypothesized that people with HIV (PWH) and without HIV (HIV-) would experience an increase in mental health symptoms and alcohol use after the onset of the COVID-19 pandemic and that PWH would experience a greater increase than HIV-individuals. Methods: Participants were recruited from two established cohorts of PWH and HIV-adults in Omaha, Nebraska for whom baseline data including mental health and alcohol use assessments had been collected prior to the pandemic. Participants were excluded from the original cohorts if they had any known psychiatric diagnosis or were taking antipsychotics or anticonvulsants. Participants were reassessed utilizing the Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), Alcohol Use Identification Test (AUDIT), and Pittsburgh Sleep Quality Index (PSQI) between February and April 2021. All outcomes were evaluated using generalized linear mixed models. Results: Of the 95 participants who completed all questionnaires, 50 were PWH and 45 HIV-. Groups did not statistically differ in age, sex, race or ethnicity (mean: 45.67 years;69.5% male;74% non-Hispanic white). Pre-pandemic mean BDI-II, BAI, AUDIT and PSQI scores were higher in PWH versus HIV-. After the onset of the pandemic, mean BDI-II and AUDIT scores increased significantly in both groups (see Table;P<.001 and P=0.003, respectively) and AUDIT scores were significantly higher in males than females (P=.002). Measures of binge drinking and alcohol misuse as well as mean BAI and PSQI scores increased numerically intra-pandemic. Intra-pandemic mean BDI-II and AUDIT scores increased more among HIV-than PWH, but not significantly so. The percentage of PWH and HIV-participants who moved into a more severe category of depression as measured by the BDI-II (eg, from minimal to moderate) after the onset of the pandemic was identical (18%). Conclusion: Measures of depression and alcohol use increased significantly after the onset of the COVID-19 pandemic in people with and without HIV. Although there were no significant differences in the changes between the groups, PWH had higher baseline scores so the increases in this group may have more clinical impacts. Screening for symptoms of mental health and alcohol use is critical, especially in PWH during a pandemic. Future work will explore the longer-term impact of the pandemic on mental health symptoms and alcohol use.

A 2022 update on the epidemiology of obesity and a call to action: as its twin COVID-19 pandemic appears to be receding, the obesity and dysmetabolism pandemic continues to rage on.

The WHO just released in May 2022 a report on the state of the obesity pandemic in Europe, stating that 60% of citizens in the area of Europe are either overweight or obese, and highlighting the implications of the obesity pandemic, especially as it interacts with the COVID pandemic to create a twin pandemic, to increase morbidity and mortality. Obesity is a complex disease which has reached pandemic dimensions. The worldwide prevalence of obesity has nearly tripled since 1975, mainly due to the adoption of a progressively more sedentary lifestyle and the consumption of less healthy diets. We first report herein updated prevalence rates of overweight and obesity by sex, age, and region first in Europe, per the WHO report, and then worldwide between 1980 and 2019, as we analyze and present herein the data provided by the Global Burden of Disease Study. The prevalence of obesity is higher in women than in men of any age and the prevalence of both overweight and obesity increases with age and has reached their highest point between the ages of 50 to 65 years showing a slight downward trend afterwards. The age-standardized prevalence of obesity has increased from 4.6% in 1980 to 14.0% in 2019. The American and European region have the highest obesity prevalence and the USA and Russia are the countries with the most obese residents. Given dire implications in terms of comorbidities and mortality, these updated epidemiological findings call for coordinated actions from local and regional governments, the scientific community and individual patients alike, as well as the food industry for the obesity pandemic to be controlled and alleviated. We can hopefully learn from the COVID-19 pandemic, where collaborative efforts worldwide, focused intense work at both the local and global level and well-coordinated leadership have demonstrated that humankind is capable of amazing accomplishments by leveraging science and public health, and that we can finally make strides in terms of understanding and combating the obesity pandemic and its dire comorbidities including diabetes, NAFLD, CVD and obesity associated malignancies.

Association of Physical Fitness, Screen Time, and Sleep Hygiene According to the Waist-to-Height Ratio in Children and Adolescents from the Extreme South of Chile.

OBJECTIVE: To analyze the perception of physical fitness, screen time, and self-reported sleep hygiene in children and adolescents (CA) from the extreme south of Chile and its associations with waist-to-height ratio (WtHr). MATERIAL AND METHODS: An observational cross-sectional study was conducted in a sample of 594 schoolchildren from 5th to 8th grade of primary education, belonging to municipal educational establishments in the Magallanes region, Chile. Cardiorespiratory fitness was assessed through the 20-m shuttle run test, muscle strength through handgrip and the standing broad jump test, physical fitness perception through the International Fitness Scale, and central obesity through the waist-to-height index. In addition, sleep hygiene and screen time were measured. RESULTS: More than 92% of CA spent more than two hours a day watching or using screens. In addition, CA with excess central adiposity had a lower perception of physical fitness, and lower muscle strength and cardiorespiratory fitness compared to CA with normal values of adiposity. CONCLUSIONS: CA of the present study spent a high number of hours watching or using screens and had poor sleep quality. In addition, excessive central adiposity was associated with lower physical fitness.