Effect of the COVID-19 pandemic on obesity and it is risk factors: a systematic review.

BACKGROUND: Coronavirus disease (COVID-19) is a contagious disease caused by the severe acute new coronavirus called SARS-CoV-2. Devastating social, economic, and health service utilisation-related activities. Increased burden and lifestyle changes due to confinement. OBJECTIVE: This study aimed to investigate and determine the determinants of obesity during the coronavirus disease (COVID-19) pandemic from 2019 to 2023. METHODS: Observational studies published between December 2019 and January 2023 were thoroughly searched using a PRISMA flow chart. PubMed, Google Scholar, Web of Science, HINARI, Scopus, and Embase databases were used. Two reviewers independently identified and critically evaluated the relevant literature. Studies that reported weight gain or involved BMI measurements of 25 kg/m2 or BMI z-scores for children during the COVID-19 lockdown were selected for inclusion. The Newcastle-Ottawa Scale (NOS) was used as a quality assessment instrument in nonrandomised studies to evaluate study quality. All the contributing determinants of weight increase were identified, gathered, and synthesised. RESULTS: This systematic review identified 40 studies with a total population of 5,681,813 from 22 countries, of which 74.6% were male. The sample size from included articles ranged from 37 to 5,315,435. Of the 40 selected articles, 24 focused on adults, five on adolescents, three on children, and eight on children and adolescents. Physical inactivity, sedentary behaviour, bad eating habits, behavioural lifestyle, excessive stress, depression, anxiety, behavioural risk factors, sex, and ethnic minorities were associated with obesity during the COVID-19 pandemic lockdown. CONCLUSION: During the COVID-19 pandemic, physical inactivity, sedentary lifestyle, and poor eating patterns were the most common risk factors for obesity. Additionally, unhealthy eating habits, excessive behavioural stress, depression, anxiety, low mood, age, gender, and ethnic minorities have been identified as risk factors for obesity during the COVID-19 pandemic.

Analysis of Determinants of Food Preferences in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study.

For the choices of food products, food preferences are crucial, as they influence the intake of nutrients and the resultant quality of diet, but in Poland, no studies of food preferences were conducted during the COVID-19 pandemic on a population of young adolescents. The aim of this study was to analyze the determinants of food preferences in a Polish population-based sample of primary school adolescents as part of the Diet and Activity of Youth during COVID-19 (DAY-19) Study. The DAY-19 Study focused on a national sample of a population of primary school adolescents who were recruited based on cluster sampling of participants from counties and schools, yielding a sample of 5039 individuals. Their food preferences were assessed using the Food Preference Questionnaire (FPQ), and they were compared in subgroups stratified by (1) gender: male and female; (2) age: younger (10-13 years) and older (14-16 years); (3) place of residence: urban and rural; (4) Body Mass Index (BMI): underweight, normal body weight, and overweight/obese (assessed based on Polish growth reference values); and (5) physical activity level: low and moderate (assessed using the International Physical Activity Questionnaire for children aged 10-13 (IPAQ-C) and adolescents aged 14-16 (IPAQ-A)). In the population of adolescents, no statistically significant differences in food preferences between subgroups stratified by gender were observed (p > 0.05). For boys, none of the studied factors (age, place of residence, BMI, physical activity level) was statistically significant determinant of food preferences (p < 0.05), while for girls, all of them were statistically significant determinants (p > 0.05). All the assessed factors (age, place of residence, BMI, physical activity level) in girls were associated with preferences for snacks, and older girls, those from a rural environment, those who were underweight and overweight/obese, as well as those having a low physical activity level declared a higher preference for snacks than younger ones (p = 0.0429), those from an urban environment (p = 0.0484), those of a normal body weight (p = 0.0091), and those having a moderate physical activity level (p = 0.0083). Similarly, girls from rural environments declared a higher preference for starches than those from urban environments (p = 0.0103), and girls having a low physical activity level declared a higher preference for fruit than those having a moderate physical activity level (p = 0.0376). Taking this into account, the population of girls, in particular, needs dedicated educational actions to support proper nutritional habits. Additionally, older age, living in a rural environment, being underweight and overweight/obese, and having a low physical activity level may be indicated as factors predisposing one to food preferences potentially promoting unhealthy dietary habits.

Nutrition for Prevention and Control of Chronic Degenerative Diseases and COVID-19.

Chronic degenerative diseases (CDD) are non-infectious, slow-progressing, and long-lasting diseases such as diabetes, heart disease, obesity, chronic respiratory diseases, neurodegenerative diseases, and cancer [...].

A global spatial analysis of factors associated with case and mortality rates for coronavirus disease 2019 during the first year of the pandemic.

BACKGROUND: A increasing number of studies have revealed associations between country-level determinants and coronavirus disease 2019 (COVID-19) outcomes. This ecological study was conducted to analyze country-level parameters related to COVID-19 infections and deaths during the first year of the pandemic. METHODS: The examined predictors comprised demographics, economic factors, disease prevalence and healthcare system status, and the relevant data were obtained from public databases. The index dates were set to 15 July 2020 (Time 1) and 15 December 2020 (Time 2). The adjusted spatial autoregression models used a first-order queen contiguity spatial weight for the main analysis and a second-order queen contiguity spatial weight for a sensitivity analysis to examine the predictors associated with COVID-19 case and mortality rates. RESULTS: Obesity was significantly and positively associated with COVID-19 case and mortality rates in both the main and sensitivity analyses. The sensitivity analysis revealed that a country's gross domestic product, population density, life expectancy and proportion of the population older than 65 y are positively associated with COVID-19 case and mortality rates. CONCLUSIONS: With the increasing global prevalence of obesity, the relationship between obesity and COVID-19 disease at the country level must be clarified and continually monitored.

Changes in dietary habits during Covid-19 lockdown in Egypt: the Egyptian COVIDiet study.

PURPOSE: COVID-19 lockdown changed social habits and lifestyle, including dietary habits, of people worldwide. However, limited information is available about these changes in Egypt. This cross-sectional study investigates the effects of COVID-19 lockdown on dietary habits among the Egyptian populations. METHODS: An online questionnaire, based on sociodemographic data and dietary adherence in accordance with the validated PREDIMED MedDiet Adherence Screener (MEDAS), was used all over the Egyptian governorates. The dietary changes were statistically evaluated for significance in relation to age, gender, body mass index (BMI), education level and governorates. RESULTS: A total of 1010 participants (76% aged below 36 years, 77% female, 22% obese, and 62% university-level education) answered the questionnaire. Respondents ≤ 20 years had a significant increase in weight and consumption of carbonated beverages, commercial pastries, fried and fast food. Egyptians > 50 years old had a significant decrease in physical activity. Underweight people (less than 3% of participants) increased their fast food intake with a prominent rise in weight. However, obese people increased cooking frequency and increased eating times with a decrease in physical activity. Male participants reported increased intake of carbonated beverages and fast food, while female participants increased the intake of homemade pastries with a significant decrease in physical activity. Approximately 50% of participants with postgraduate education reported decreased intake of fast food and carbonated beverages as well as decreased body weight. Residents of Cairo showed a significant increase in vegetable intake, and fried food intake with a decrease in seafood consumption. Participants from the Delta region had a significant increase in pastries intake. CONCLUSION: The findings of this study explored the need for increasing awareness about healthy lifestyle in future lockdown periods.

Multiple manifestations of uncontrolled asthma increase the risk of severe COVID-19.

OBJECTIVE: Asthma control is of importance when assessing the risk of severe outcomes of COVID-19. The aim of this study was to explore associations of clinical characteristics and the effect of multiple manifestations of uncontrolled asthma with severe COVID-19. METHODS: In 2014-2020, adult patients with uncontrolled asthma, defined as Asthma Control Test (ACT) ≤19 were identified in the Swedish National Airway Register (SNAR) (n = 24533). The SNAR database, including clinical data, was linked with national registers to identify patients with severe COVID-19 (n = 221). The effect of multiple manifestations of uncontrolled asthma was based on: 1) ACT ≤15, 2) frequent exacerbations and 3) previous asthma inpatient/secondary care and evaluated stepwise. Poisson regression analyses were conducted with severe COVID-19 as the dependent variable. RESULTS: In this cohort with uncontrolled asthma, obesity was the strongest independent risk factor for severe COVID-19 in both sexes, but even greater in men. Multiple manifestations of uncontrolled asthma were more common among those with severe COVID-19 vs. without: one, 45.7 vs. 42.3%, two, 18.1 vs. 9.1% and three, 5.0 vs. 2.1%. The risk ratio (RR) of severe COVID-19 increased with an increasing number of manifestations of uncontrolled asthma: one, RR 1.49 (95% CI 1.09-2.02), two, RR 2.42 (95% CI 1.64-3.57) and three, RR 2.96 (95% CI 1.57-5.60), when adjusted for sex, age, and BMI. CONCLUSIONS: It is important to consider the effect of multiple manifestations of uncontrolled asthma and obesity when assessing patients with COVID-19, as this increases the risk of severe outcomes substantially.

Impact of Final Phase Social Isolation and the COVID-19 Pandemic on Eating Behavior, Sleep Quality, and Anxiety Level.

The coronavirus disease 2019 (COVID-19) pandemic has resulted in economic, social, and behavioral changes in people, which may favor several long-term consequences. This study evaluated the effects of the COVID-19 pandemic on eating behavior and mental health in the final phase of social isolation. This cross-sectional study included 756 adults that completed an online questionnaire. Individuals were stratified into those who had been infected with COVID-19 (GCOV) and those who did not (GNCOV). The GCOV group had higher weight (p = 0.013), body mass index (BMI) (p = 0.005), anxiety levels (p = 0.040), sleep disorders (p = 0.009), and poorer sleep quality (p = 0.0028). In the GCOV, the consumption of ultra-processed foods was associated with higher anxiety levels and poorer sleep quality. A higher proportion of individuals who consumed more than five servings of in natura food was observed in the group with taste and olfactory dysfunction than in the group without. Obesity contributes to uncontrolled and emotional eating disorders, increased anxiety, and worsened sleep. Therefore, COVID-19 impaired mental health and eating behavior even in the long term. These changes were potentiated by the presence of obesity and consumption of ultra-processed foods, evidencing the importance of monitoring these individuals even after the resolution of COVID-19.

Weight Gain, Lifestyle, and Cognition During the COVID-19 Pandemic in Southern Brazil.

BACKGROUND: During the COVID-19 pandemic, the world experienced social distancing that resulted in changes in habits and lifestyle. Such changes can compromise healthy eating habits and the practice of physical activities, known risk factors for developing weight gain and obesity. OBJECTIVE: The main objective of this study was to describe the change in eating habits, lifestyle, and cognition of the population of Rio Grande do Sul, a state in Southern Brazil, during social distancing due to COVID-19. METHODS: The study was conducted from July 21 to August 10, 2020, through a structured online questionnaire that asked for sociodemographic information (age, gender, and education), anthropometric (reported weight and height), change in eating habits, lifestyle (sleep quality and physical activity), and cognition. Chi-square, McNemar tests, and univariate and multivariate analysis were used to evaluate the variables. Confidence intervals were calculated with a significance level of 5%. RESULTS: Of a total of 1072 participants, 57.3% of respondents reported weight gain, and an increased percentage of people were classified as obese. Nearly half of the participants (46%) reported changes in their eating habits for the worse. Body mass index (BMI) was significantly associated with increased consumption of unhealthy foods. Our results identified high physical inactivity (46.9%) and obesity (19%) during social distancing. The changes in eating habits and lifestyle also increased the risk for decreased cognition. CONCLUSIONS: These findings highlighted that social distancing impacted eating habits and lifestyle, which increased obesity rates and might predispose to decreased cognition.

The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome.

BACKGROUND: Components of metabolic syndrome (MetS) was reported to contribute to severe and worse outcomes of coronavirus disease 2019 (COVID-19). Hereby, we evaluated the association of MetS and its components with susceptibility to COVID-19. METHODS: Here, 1000 subjects with MetS were recruited that were diagnosed via the International Diabetes Federation (IDF) criterion. Real-time PCR was exerted to detect SARS-CoV-2 in the nasopharyngeal swabs. RESULTS: Among the MetS patients, 206 (20.6%) cases were detected to have COVID-19. Smoking (OR = 5.04, 95%CI = 3.53-7.21, P < 0.0001) and CVD (OR = 1.62, 95%CI = 1.09-2.40, P = 0.015) were associated with increased chance of COVID-19 infection in the MetS patients. BMI was significantly higher (P = 0.0001) in MetS cases with COVID-19 than those without COVID-19. Obesity was associated with increased susceptibility to COVID-19 in MetS patients (OR = 2.00, 95%CI = 1.47-2.74, P < 0.0001). Total cholesterol, TG, LDL were significantly higher in the MetS cases with COVID-19 than those without COVID-19. Dyslipidemia was associated with increased chance of COVID-19 (OR = 1.50, 95%CI = 1.10-2.05, P = 0.0104). FBS level was significantly higher in the MetS cases with COVID-19. T2DM was associated with increased risk of COVID-19 in MetS patients (OR = 1.43, 95%CI = 1.01-2.00, P = 0.0384). Hypertension was associated with increased chance of COVID-19 in the MetS patients (OR = 1.44, 95%CI = 1.05-1.98, P = 0.0234). CONCLUSIONS: MetS and its components, like obesity, diabetes, dyslipidemia, cardiovascular complications were associated with increased chance of COVID-19 infection development and probably with aggravated symptoms in such patients.

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.

Accelerated waning of the humoral response to COVID-19 vaccines in obesity.

Obesity is associated with an increased risk of severe Coronavirus Disease 2019 (COVID-19) infection and mortality. COVID-19 vaccines reduce the risk of serious COVID-19 outcomes; however, their effectiveness in people with obesity is incompletely understood. We studied the relationship among body mass index (BMI), hospitalization and mortality due to COVID-19 among 3.6 million people in Scotland using the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) surveillance platform. We found that vaccinated individuals with severe obesity (BMI > 40 kg/m2) were 76% more likely to experience hospitalization or death from COVID-19 (adjusted rate ratio of 1.76 (95% confidence interval (CI), 1.60-1.94). We also conducted a prospective longitudinal study of a cohort of 28 individuals with severe obesity compared to 41 control individuals with normal BMI (BMI 18.5-24.9 kg/m2). We found that 55% of individuals with severe obesity had unquantifiable titers of neutralizing antibody against authentic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus compared to 12% of individuals with normal BMI (P = 0.0003) 6 months after their second vaccine dose. Furthermore, we observed that, for individuals with severe obesity, at any given anti-spike and anti-receptor-binding domain (RBD) antibody level, neutralizing capacity was lower than that of individuals with a normal BMI. Neutralizing capacity was restored by a third dose of vaccine but again declined more rapidly in people with severe obesity. We demonstrate that waning of COVID-19 vaccine-induced humoral immunity is accelerated in individuals with severe obesity. As obesity is associated with increased hospitalization and mortality from breakthrough infections, our findings have implications for vaccine prioritization policies.

Multimorbidity and social determinants of health in the US prior to the COVID-19 pandemic and implications for health outcomes: a cross-sectional analysis based on NHANES 2017-2018.

Multimorbidity increases the risk of all-cause mortality, and along with age, is an independent risk factor for severe disease and mortality from COVID-19. Inequities in the social determinants of health contributed to increased mortality from COVID-19 among disadvantaged populations. This study aimed to evaluate the prevalence of multimorbid conditions and associations with the social determinants of health in the US prior to the pandemic.Methods Data from the 2017-18 cycle of NHANES were used to determine the prevalence of 13 chronic conditions, and the prevalence of having 0, 1, or 2 or more of those conditions, among the US adult population aged ≥ 20 years. Multimorbidity was defined as having 2 or more of these conditions. Data were stratified according to demographic, socioeconomic and indicators of health access, and analyses including logistic regression, performed to determine the factors associated with multimorbidity.Results The prevalence of multimorbidity was 58.4% (95% CI 55.2 to 61.7). Multimorbidity was strongly associated with age and was highly prevalent among those aged 20-29 years at 22.2% (95% CI 16.9 to 27.6) and continued to increase with older age. The prevalence of multimorbidity was highest in those defined as Other or multiple races (66.9%), followed in decreasing frequency by rates among non-Hispanic Whites (61.2%), non-Hispanic Blacks (57.4%), Hispanic (52.0%) and Asian (41.3%) groups.Logistic regression showed a statistically significant relationship between multimorbidity and age, as expected. Asian race was associated with a reduced likelihood of 2 or more chronic conditions (OR 0.4; 95% CI 0.35 to 0.57; P < 0.0001). Socioeconomic factors were related to multimorbidity. Being above the poverty level (OR 0.64; 95% CI 0.46 to 0.91, p = 0.013); and a lack of regular access to health care (OR 0.61 (95% CI 0.42 to 0.88, p = 0.008) were both associated with a reduced likelihood of multimorbidity. Furthermore, there was a borderline association between not having health insurance and reduced likelihood of multimorbidity (OR 0.63; 95% CI 0.40 to 1.0; p = 0.053).Conclusions There are high levels of multimorbidity in the US adult population, evident from young adulthood and increasing with age. Cardiometabolic causes of multimorbidity were highly prevalent, especially obesity, hyperlipidemia, hypertension, and diabetes; conditions subsequently found to be associated with severe disease and death from COVID-19. A lack of access to care was paradoxically associated with reduced likelihood of comorbidity, likely linked to underdiagnosis of chronic conditions. Obesity, poverty, and lack of access to healthcare are factors related to multimorbidity and were also relevant to the health impact of the COVID-19 pandemic, that must be addressed through comprehensive social and public policy measures. More research is needed on the etiology and determinants of multimorbidity, on those affected, patterns of co-morbidity, and implications for individual health and impact on health systems and society to promote optimal outcomes. Comprehensive public health policies are needed to tackle multimorbidity and reduce disparities in the social determinants of health, as well as to provide universal access to healthcare.

Association between Types of Screen Time and Weight Status during the COVID-19 Pandemic: A Longitudinal Study in Children and Adolescents.

BACKGROUND: This study aimed to investigate the changes in distinct types of screen time and explore their longitudinal association with children and adolescents' weight status. METHODS: A two-wave longitudinal study was conducted among 2228 children and adolescents (6-19 years) in Shanghai, China, before and during the pandemic. Recreational screen time (watching TV/videos, online gaming, using social media, and browsing webpages), educational screen time (online homework and online class), and BMI were measured using a self-reported questionnaire. Mixed-effects models were constructed to assess the associations between screen time and weight status. RESULTS: The prevalence of overweight and obesity was 20.5% and 10.2% at baseline, respectively. Both recreational and educational screen time increased significantly over two months. While recreational screen time was found to be a risk factor for obesity, it was not the case for educational screen use. Specifically, adolescents who spent more time watching TV/videos had a higher obesity risk (OR = 1.576). No significant associations were found in children. CONCLUSIONS: Overweight and obesity were prevalent among children and adolescents in China. Reducing screen-based activities is a promising strategy to prevent unhealthy weight gain in Chinese children and adolescents, while it is necessary to consider the content and distinguish between educational and recreational screen use.

COVID-19 in inherited metabolic disorders: Clinical features and risk factors for disease severity.

BACKGROUND: Old age, obesity, and certain chronic conditions are among the risk factors for severe COVID-19. More information is needed on whether inherited metabolic disorders (IMD) confer risk of more severe COVID-19. We aimed to establish COVID-19 severity and associated risk factors in patients with IMD currently followed at a single metabolic center. METHODS: Among all IMD patients followed at a single metabolic referral center who had at least one clinic visit since 2018, those with accessible medical records were reviewed for SARS-CoV-2 tests. COVID-19 severity was classified according to the WHO recommendations, and IMD as per the international classification of IMD. RESULTS: Among the 1841 patients with IMD, 248 (13.5%) had tested positive for COVID-19, 223 of whom gave consent for inclusion in the study (131 children and 92 adults). Phenylalanine hydroxylase (48.4%) and biotinidase (12.1%) deficiencies were the most common diagnoses, followed by mucopolysaccharidoses (7.2%). 38.1% had comorbidities, such as neurologic disabilities (22%) or obesity (9.4%). The majority of COVID-19 episodes were asymptomatic (16.1%) or mild (77.6%), but 6 patients (2.7%) each had moderate and severe COVID-19, and two (0.9%) had critical COVID-19, both of whom died. 3 patients had an acute metabolic decompensation during the infection. Two children developed multisystem inflammatory syndrome (MIS-C). Long COVID symptoms were present in 25.2%. Presence of comorbidities was significantly associated with more severe COVID-19 in adults with IMD (p < 0.01), but not in children (p = 0.45). Compared to other categories of IMD, complex molecule degradation disorders were significantly associated with more severe COVID-19 in children (p < 0.01); such a significant IMD category distinction was not found in adults. DISCUSSION: This is the largest study on COVID-19 in IMD patients relying on real-word data and objective definitions, and not on merely expert opinions or physician surveys. COVID-19 severity and long COVID incidence in IMD are probably similar to the general population, and the risk of acute metabolic decompensation is not likely to be greater than that in other acute infections. Disease category (complex molecule degradation) in children, and comorbidities in adults may be associated with COVID-19 severity in IMD. Additionally, the first documented accounts of COVID-19 in 27 different IMD are recorded. The high occurrence of MIS-C may be coincidental, but warrants further study.

Obesity and Viral Infections.

The 2019 novel coronavirus disease (COVID-19) triggered a rapidly expanding global pandemic. The presence of obesity in patients with COVID-19 has been established as a risk factor for disease severity, hospital admission, and mortality. Thus, it is imperative those living with obesity be vaccinated against COVID-19. Although there is a timeframe COVID-19 vaccines are efficacious in those living with obesity, more studies need to be conducted to ensure that those long-lasting protection is maintained, as obesity has implications on the immune system.

Coronavirus Disease 2019, Diabetes, and Inflammation: A Systemic Review.

People with cardiometabolic diseases [namely type 2 diabetes (T2D), obesity, or metabolic syndrome] are more susceptible to coronavirus disease 2019 (COVID-19) infection and endure more severe illness and poorer outcomes. Hyperinflammation has been suggested as a common pathway for both diseases. To examine the role of inflammatory biomarkers shared between COVID-19 and cardiometabolic diseases, we reviewed and evaluated published data using PubMed, SCOPUS, and World Health Organization COVID-19 databases for English articles from December 2019 to February 2022. Of 248 identified articles, 50 were selected and included. We found that people with diabetes or obesity have (i) increased risk of COVID-19 infection; (ii) increased risk of hospitalization (those with diabetes have a higher risk of intensive care unit admissions) and death; and (iii) heightened inflammatory and stress responses (hyperinflammation) to COVID-19, which worsen their prognosis. In addition, COVID-19-infected patients have a higher risk of developing T2D, especially if they have other comorbidities. Treatments controlling blood glucose levels and or ameliorating the inflammatory response may be valuable for improving clinical outcomes in these patient populations. In conclusion, it is critical for health care providers to clinically evaluate hyperinflammatory states to drive clinical decisions for COVID-19 patients.

Outcome of Patients with Common Endocrine Diseases Who Had COVID-19 in two Centers in Lagos, Nigeria: A Cross-Sectional Study.

BACKGROUND: Endocrine diseases are ubiquitous. In our environment, diabetes mellitus (DM), obesity and thyroid disorders represent the most common examples. Diabetes mellitus is a global health problem with a myriad of complications. We sought to evaluate outcome in terms of fatality in those with common endocrine diseases who were infected with COVID-19. AIMS AND OBJECTIVES: To determine outcome in terms of mortality in patients with common endocrine diseases who contracted COVID-19. MATERIALS AND METHODS: We conducted an observational, descriptive, cross-sectional study with 120 participants drawn from the endocrinology/DM clinic at the Lagos University Teaching Hospital and Serenity Hospital, Surulere (a private medical clinic). Data collected included age, gender, type of endocrine disease, comorbid diseases, and COVID-19 status. Through charts from the medical records department, outcome of participants in terms of mortality was determined. RESULTS: Data of 120 subjects were analyzed. There were 61males and 59 females, yielding a male:female ratio of 1:1. Mean age was 58 years and the mode was 46 years. Over half (88) of the patients had diabetes mellitus, 22 had obesity, and 17 had thyroid disorders. The case fatality rate of patients with endocrine diseases who had COVID-19 was 11%, with about 85% of these deaths occurring in the elderly (those aged above 60 years). Ninety-two percent of the patients who died had type 2 DM. Approximately 80% of patients who were infected with COVID-19 had at least one co-morbid disease. CONCLUSION: Older age, type 2 diabetes mellitus, and the presence of at least one comorbidity were associated with increased mortality in patients with endocrine diseases who were infected with COVID-19 in our study.

CONTEXTE: Les maladies endocriniennes sont omniprésentes. Dans notre environnement, le diabète sucré, l'obésité et les troubles thyroïdiens en sont les exemples les plus courants. Le diabète est un problème de santé mondial qui s'accompagne d'une myriade de complications. Nous avons cherché à évaluer l'issue en termes de mortalité chez les personnes atteintes de maladies endocriniennes courantes qui ont été infectées par COVID-19. BUTS ET OBJECTIFS: Déterminer l'issue en termes de mortalité chez les patients atteints de maladies endocriniennes courantes qui ont contracté COVID 19. MATÉRIEL ET MÉTHODOLOGIES: Nous avons mené une étude observationnelle, descriptive et transversale auprès de 120 participants provenant de la clinique d'endocrinologie/DM de l'hôpital universitaire de Lagos et de l'hôpital Serenity, Surulere (clinique médicale privée). Les données recueillies comprenaient l'âge, le sexe, le type de maladie endocrinienne, les maladies concomitantes et le statut COVID-19. Les résultats des participants en termes de mortalité ont été déterminés à partir des dossiers médicaux. RÉSULTATS: Les données de 120 sujets ont été analysées. Il y avait 61 hommes et 59 femmes, avec un ratio homme/femme de 1:1. L'âge moyen était de 58 ans, le mode de 46 ans. Plus de la moitié [88] des patients souffraient de diabète sucré. 22 patients souffraient d'obésité et 17 de troubles thyroïdiens. Le taux de létalité des patients souffrant de maladiesendocriniennes et atteints de COVID-19 était de 11 %, 85 % de ces décès survenant chez des personnes âgées, c'est-à-dire de plus de 60 ans. 92 % des patients décédés souffraient de diabète de type 2. Environ 80 % des patients infectés par COVID-19 présentaient au moins une maladie concomitante. CONCLUSION: L'âge avancé, le diabète de type 2, la présence d'au moins une comorbidité sont associés à une mortalité accrue chez les patients atteints de maladies endocriniennes et infectés par COVID-19 dans notre étude. Mots-clés: Maladies endocriniennes, COVID-19, comorbidités, syndrome métabolique.

Unintended Consequences of COVID-19 Non-Pharmaceutical Interventions (NPIs) for Population Health and Health Inequalities.

Since the start of the COVID-19 pandemic in early 2020, governments around the world have adopted an array of measures intended to control the transmission of the SARS-CoV-2 virus, using both pharmaceutical and non-pharmaceutical interventions (NPIs). NPIs are public health interventions that do not rely on vaccines or medicines and include policies such as lockdowns, stay-at-home orders, school closures, and travel restrictions. Although the intention was to slow viral transmission, emerging research indicates that these NPIs have also had unintended consequences for other aspects of public health. Hence, we conducted a narrative review of studies investigating these unintended consequences of NPIs, with a particular emphasis on mental health and on lifestyle risk factors for non-communicable diseases (NCD): physical activity (PA), overweight and obesity, alcohol consumption, and tobacco smoking. We reviewed the scientific literature using combinations of search terms such as 'COVID-19', 'pandemic', 'lockdowns', 'mental health', 'physical activity', and 'obesity'. NPIs were found to have considerable adverse consequences for mental health, physical activity, and overweight and obesity. The impacts on alcohol and tobacco consumption varied greatly within and between studies. The variability in consequences for different groups implies increased health inequalities by age, sex/gender, socioeconomic status, pre-existing lifestyle, and place of residence. In conclusion, a proper assessment of the use of NPIs in attempts to control the spread of the pandemic should be weighed against the potential adverse impacts on other aspects of public health. Our findings should also be of relevance for future pandemic preparedness and pandemic response teams.

Nonalcoholic fatty liver disease and non-liver comorbidities.

Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease characterized by excess fat accumulation in the liver. It is closely associated with metabolic syndrome, and patients with NAFLD often have comorbidities such as obesity, type 2 diabetes mellitus, and dyslipidemia. In addition to liver-related complications, NAFLD has been associated with a range of non-liver comorbidities, including cardiovascular disease, chronic kidney disease, and sleep apnea. Cardiovascular disease is the most common cause of mortality in patients with NAFLD, and patients with NAFLD have a higher risk of developing cardiovascular disease than the general population. Chronic kidney disease is also more common in patients with NAFLD, and the severity of NAFLD is associated with a higher risk of developing chronic kidney disease. Sleep apnea, a disorder characterized by breathing interruptions during sleep, is also more common in patients with NAFLD and is associated with the severity of NAFLD. The presence of non-liver comorbidities in patients with NAFLD has important implications for the management of this disease. Treatment of comorbidities such as obesity, type 2 diabetes mellitus, and dyslipidemia may improve liver-related outcomes in patients with NAFLD. Moreover, treatment of non-liver comorbidities may also improve overall health outcomes in patients with NAFLD. Therefore, clinicians should be aware of the potential for non-liver comorbidities in patients with NAFLD and should consider the management of these comorbidities as part of the overall management of this disease.

Higher walkability associated with increased physical activity and reduced obesity among United States adults.

OBJECTIVE: This study examined associations among perceived neighborhood walkability, physical activity (PA), and obesity among United States adults. METHODS: Data from the 2020 National Health Interview Survey were analyzed. Walkability was assessed using a summative scale and was categorized as low, medium, or high. PA was categorized as insufficient (0-149 min/wk) or sufficient (150+ min/wk). Multivariable regressions estimated an association between obesity and BMI and PA/walkability. Mediation analysis was used to partition contribution of PA as a mediator. Effect modification by race and ethnicity in the association between walkability and BMI was explored. RESULTS: The sample included N = 31,568 adults. Compared with those in low-walkability neighborhoods, participants in high-walkability neighborhoods had increased odds of sufficient PA (odds ratio [OR] = 1.48; 95% CI: 1.30-1.69) and decreased obesity odds (OR = 0.76; 95% CI: 0.66-0.87). PA partially mediated the association between walkability and BMI (23.4%; 95% CI: 14.6%-62.7%). The association between walkability and BMI was modified by race and ethnicity (F[5,567]  = 2.75; p = 0.018). Among White, Black, Hispanic, and Asian adults, BMI decreased with increasing walkability; among American Indian/Alaska Native and multiracial/other adults, BMI increased with increasing walkability. CONCLUSIONS: The findings highlight the importance of investing in the built environment to improve perceptions of walkability and promote PA and healthy weight, as well as developing interventions to target racial and ethnic disparities in these outcomes.