Obesity in the COVID era: A global health challenge

Effects of the COVID-19 pandemic on gestational diabetes in Castilla-La Mancha (Spain)

SUBJECT-MATTER

To assess the effect of the 2019 coronavirus (COVID-19) pandemic on gestational diabetes (GDM).

MATERIAL AND METHODS

In this retrospective, multicentre, non-interventional study carried out in Castilla-La Mancha, Spain, we compared 663 women with GDM exposed to the pandemic (pandemic group), with 622 women with GDM seen one year earlier (pre-pandemic group). The primary endpoint was a Large for Gestational Age (LGA) newborn as an indicator of poor GDM control. Secondary endpoints included obstetric and neonatal complications.

RESULTS

During the pandemic, the gestational week at diagnosis (24.2 ± 7.4 vs 22.9 ± 7.7, p = 0.0016) and first visit to Endocrinology (26.6 ± 7.2 vs 25.3 ± 7.6, p = 0.0014) were earlier. Face-to-face consultations were maintained in most cases (80.3%). The new diagnostic criteria for GDM were used in only 3% of cases. However, in the pandemic group, the final HbA1c was higher (5.2 ± 0.48 vs 5.29 ± 0.44%, p = 0.047) and there were more LGA newborns (8.5% vs 12.8%, p = 0.015). There were no differences in perinatal complications.

CONCLUSIONS

Care for GDM in our Public Health System did not significantly deteriorate during the COVID-19 pandemic. However, this did not prevent a higher number of LGA newborns.

Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments

BACKGROUND

The complex nature of obesity increasingly requires a comprehensive approach that includes the role of environmental factors. For understanding contextual determinants, the resources provided by technological advances could become a key factor in obesogenic environment research. This study aims to identify different sources of non-traditional data and their applications, considering the domains of obesogenic environments: physical, sociocultural, political and economic.

METHODS

We conducted a systematic search in PubMed, Scopus and LILACS databases by two independent groups of reviewers, from September to December 2021. We included those studies oriented to adult obesity research using non-traditional data sources, published in the last 5 years in English, Spanish or Portuguese. The overall reporting followed the PRISMA guidelines.

RESULTS

The initial search yielded 1583 articles, 94 articles were kept for full-text screening, and 53 studies met the eligibility criteria and were included. We extracted information about countries of origin, study design, observation units, obesity-related outcomes, environment variables, and non-traditional data sources used. Our results revealed that most of the studies originated from high-income countries (86.54%) and used geospatial data within a GIS (76.67%), social networks (16.67%), and digital devices (11.66%) as data sources. Geospatial data were the most utilised data source and mainly contributed to the study of the physical domains of obesogenic environments, followed by social networks providing data to the analysis of the sociocultural domain. A gap in the literature exploring the political domain of environments was also evident.

CONCLUSION

The disparities between countries are noticeable. Geospatial and social network data sources contributed to studying the physical and sociocultural environments, which could be a valuable complement to those traditionally used in obesity research. We propose the use of information available on the Internet, addressed by artificial intelligence-based tools, to increase the knowledge on political and economic dimensions of the obesogenic environment.

The Leading Factors of Obesity and Severe Obesity in Korean Adults during the COVID-19 Pandemic

(1) Background: During the coronavirus disease 2019 (COVID-19) pandemic, the prevalence of obesity or severe obesity has increased worldwide to the point that it has even been referred to as a new disease. However, the impacts of the pandemic on obesity or severe obesity remain unclear, thus requiring a thorough examination of the leading factors of obesity and severe obesity during this time. (2) Methods: The required dataset for this study was extracted from the eighth (2019-2020) Korea National Health and Nutrition Examination Survey (KNHNES). The survey's data for 2019 and 2020 were analyzed to confirm the leading factors of obesity and severe obesity before and after the outbreak of COVID-19. The samples were weighted, and the data were analyzed using multiple logistic regression. (3) Results: In 2020, the prevalence of obesity and severe obesity in the Korean adult population aged 19 and over, compared with the normal weight group, showed significant increases of 2.5% and 1.4%, respectively, compared with those rates in 2019 (p < 0.05). The main variables affecting the obesity prevalence in Korean adults aged 19 and over in 2020 were gender, age, sitting time per day, and walking time per day, and the factors affecting severe obesity were gender and age. Meanwhile, the daily energy intake variable had no impact on the prevalence of obesity and severe obesity. (4) Conclusions: These findings will serve as a basis to help the present management directions and treatment approaches for individuals with obesity or severe obesity in the post-COVID-19 era.

Obesity as a Risk Factor for Severe COVID-19 in Hospitalized Patients: Epidemiology and Potential Mechanisms

SARS-CoV-2 infection is a global public health problem, causing significant morbidity and mortality. Evidence shows that obesity is a recognized risk factor for hospitalization, admission to critical care units, and the development of serious complications from COVID-19. This review analyzes the available epidemiological evidence that relates obesity to a higher risk of severity and mortality from COVID-19, examining the possible pathophysiological mechanisms that explain this phenomenon on a cellular and molecular level.

[A population-based study on seroprevalence and factors associated with SARS-CoV-2 infection in Córdoba, Argentina]

Seroepidemiological studies help identify the indirect distribution of diseases, detecting serological markers of immunity and demonstrating undiagnosed infections in the general population. The objectives were to estimate the seroprevalence of SARS-CoV-2 antibodies in Córdoba, Argentina, from December 2020 to January 2021 and to identify factors associated with the virus' contagiousness. A population-based cross-sectional observational study was performed in 3,225 individuals over two years of age living in Córdoba city, selected by multiple-stage random sampling proportional to distribution by gender, age group, and socioeconomic status in the city's population. Clinical characteristics, anthropometry, and comorbidities were collected by interview. Qualitative serological testing was performed for detection of SARS-CoV-2 nucleocapsid IgG antibodies (ARCHITECT, Abbott). SARS-CoV-2 seroprevalence was estimated for the total population and by age group, sex, socioeconomic status, and presence of target diseases. Prevalence ratios (PR) were estimated using a log-binomial regression model. SARS-CoV-2 seropositivity was 16.68% (95%CI: 15.41-18.01). Age 2 to 18 years, living in neighborhoods with low socioeconomic status, and obesity increased the odds of seropositivity (PR = 1.50; 95%CI: 1.10-2.04, PR = 1.91; 95%CI: 1.34-2.67 and PR = 1.39; 95%CI: 1.04-1.85). The results indicate that the city of Córdoba displays differential attributes that increase the likelihood of a positive SARS-CoV-2 antibody test. This allows targeting epidemiological surveillance strategies to reduce the spread of the virus.

[Vaccination against SARS-CoV-2 and its relationship with illness and death from COVID-19 in ArgentinaVacinação contra SARS-CoV-2 e sua relação com doença e morte por COVID-19 na Argentina]

Objective

To determine the effectiveness of vaccination against SARS-CoV-2 in preventing illness and death from COVID-19 in Córdoba, Argentina, during the period from January through June 2021.

Methods

A retrospective cohort study was conducted among 1,139,458 residents of the province of Córdoba. Multiple logistic regression models were developed to describe the relationship between vaccination and the presence of SARS-CoV-2 or death from COVID-19, while taking account of comorbidities and chronic disease risk factors and adjusting for sex and age.

Results

Among the general population, having received one or two doses of vaccine reduced the risk of illness by 98.8% and 99.3%, respectively, and the risk of dying by 83% and 96.5%, respectively. Among those who developed COVID-19, the probability of dying was reduced by 57% and 80%, respectively. Regarding probability of death, risk increased with age, with being male, and with obesity, arterial hypertension, and diabetes mellitus.

Conclusion

Vaccination is effective and protects against the risk of getting COVID-19, developing severe disease, or dying. Having obesity, arterial hypertension, or diabetes mellitus, in descending order, increases the risk of death.

COVID-19 mortality in Istanbul in association with air pollution and socioeconomic status: an ecological study

This study aims to reveal the relationship between the COVID-19 mortality indicators and socioeconomic status (SES) and air pollution. In this ecological study, the focus was put on the relationship between COVID-19 mortality and both air quality and socioeconomic status at the district level in Istanbul. The mortality variables of the study are the excess deaths due to the pandemic, the proportion of deaths due to the pandemic among all deaths, COVID-19 mortality rate (per 100,000), and the proportion of COVID-19 deaths among older people (above the age of 65). The daily air quality measurements of PM10, SO2, NO2, and NOx of the pre-pandemic term were included in the research to avoid bias due to decreasing traffic burden during the pandemic. Partial correlation was applied to analyze the relationship between air quality and mortality measures by controlling socioeconomic status, the percentage of the older population, and household size. Every 20% deterioration in the SES stratum has contributed to a 4% increase in excess mortality at the district level. The elderly population ratio of over 10% in the districts was found to increase the COVID-19 deaths in the total population by 35% and the deaths in the population over 65 years old by 3%. Average household size was correlated with COVID-19 deaths in the population over 65. A moderate correlation was found between the COVID-19 mortality rate per 100,000 population and PM10, SO2, and NO2 (r = 0.413, 0.421, and 0.431, respectively). Mortality during the COVID-19 pandemic in Istanbul is related to an interaction of socioeconomic characteristics and air pollution as an environmental issue.

Relationships among Physical Self-Concept, Physical Activity and Mediterranean Diet in Adolescents from the Province of Granada

The aim of the present research was to analyse the relationships among physical self-concept, physical activity engagement and Mediterranean diet adherence in a sample of 1650 secondary school students from the province of Granada. The study design was descriptive-exploratory, cross-sectional and ex post facto. Measurements were taken from a single group. The PSQ, PAQ-A and KIDMED questionnaires were used to measure diet quality. Results showed the presence of a positive relationship among all dimensions of physical self-concept and physical activity engagement, with better outcomes being achieved in this self-perception with increasing engagement in sport. With regard to diet quality and its repercussions on physical self-concept, it was highlighted that the dimensions of the general self-concept, physical attractiveness and strength tended to be more positive as quality improved. In contrast, worse outcomes were produced in those with a low-quality diet. In this way, it was deemed necessary to continue investigating psychosocial factors with the aim of clarifying the relationships with psychological factors and health indicators. This would enable the development of prevention and intervention programs focused on promoting wellbeing in adolescents.