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The Impact of Obesity During Covid 19 Outbreak

Siphesihle Sithole*

Environmental Officer at Eskom Rotek Industries, United States

Corresponding Author:
Siphesihle Sithole
Siphesihle Sithole
Environmental Officer at Eskom Rotek Industries, United States.
E-mail: [email protected]

Received Date: 01/06/2020; Accepted Date: 24/07/2020; Published Date: 31/07/2020

Visit for more related articles at Research & Reviews: Journal of Medical and Health Sciences

Abstract

The burden of disease caused by infectious diseases has gradually decreased over the years. In 2017 it was estimated that only 30% of the total disease burden globally was due to infectious diseases. Obesity is the modernday public health challenge as it is one of the underlying factorsto the burden of many chronic diseases.

Keywords

Disease, Pandemic

Introduction

The burden of disease caused by infectious diseases has gradually decreased over the years. In 2017 it was estimated that only 30% of the total disease burden globally was due to infectious diseases [1]. However, this has not always been the case during the 20th century the largest global burden of disability and premature deaths was attributed to infectious disease. The sporadic pandemics of infectious disease such as cholera, smallpox and influenza have largely posed a threat to the survival of populations [2]. The 1918 influenza pandemic killed an estimate of 50 million people globally [3]. According to Osterhaus, viruses can stay dormant and later reoccur in a population with a waned immunity thus causing a new pandemic wave [4]. This can be seen with the 1977 Russian flu which was caused by the same H1N1 virus that gave rise to the major 1950’s Spanish flu pandemic.

Since 1975 the global obesity rates have tripled with approximately 1.9 billion people overweight and 650 million obese [5]. This means over 45% of adults globally have a Body mass index (BMI) of 25 to 30 and >30 respectively [6]. The 2009 influenza a pandemic (H1N1) saw a surge in infectious diseases and the high burden of overweight and obese populous did not provide any relief during the pandemic. Sheridan states through study that obesity is an independent risk factor for mortality and morbidity from H1N1 influenza pandemic. In modern day society the high prevalence of individuals that have waned immunity due to malnutrition such as obesity pose a severe consequence on the body’s response to infection of any sort [7,8].

For the purpose of this proposal data will be drawn from previous influenza outbreaks which aims to highlight obesity as a congruent comorbidity risk factor on the current novel corona virus 2019 (Covid-19). The paper aims to expand on the rapid exponential growth of obesity in South Africa and the problems that come with it during pandemic times. This article will elaborate on risk of infection, hospitalization risk and risk of death.

Background

Obesity is the modern-day public health challenge as it is one of the underlying factors to the burden of many chronic diseases. In South Africa, 42% of women are reported to be obese this is the highest prevalence rate in sub-Saharan Africa [9]. In 2013 it was recorded that 12% of men in South Africa are obese [10]. The South African Department of health [DOH] (2016) aims to reduce obesity by 10% in the year 2020 however this target is slowly becoming unobtainable for the time frame given. According to a cross-sectional study conducted amongst adults in the Eastern Cape province of South Africa. The prevalence of overweight and obesity was 24% and 46% respectively in a population of 1077 adults [11]. Females had a higher prevalence of obesity of 53.4% compared to males who were at 27.4% [12]. According to figure 1 below, Obesity is ranked 5th as a risk factor for disability adjusted life years (DALY’s). One should take note that figure 1 was captured during 2005 -2007. Therefore, rate of obesity has since been on an exponential rise in South Africa.

medical-and-health-sciences-bar-graph

Figure 1: Bar graph showing ranking of risk factors for DALY’s in South Africa

South Africa like many other Low-Middle income countries continues to endure the effects of a double burden of disease in the country. With the rapid rise of Non-communicable diseases such as obesity and dealing with infectious disease, it has become very common to find a population within the same community and even in the same household whereby individuals suffer from under nutrition, obesity, and an underlying infectious disease such HIV/AIDS [13]. The exposure to high energy dense foods, over consumption of these foods, lack of physical activity and unemployment has not helped ease the growing problem of obesity. Consistent with other studies, initially 42% of obese women were prevalent in urban areas [14]. Alaba and Chola research shows that men from a higher income percentile are 0.27 Concentration index (CI) more likely to be obese compare to men in the lowincome percentile [15]. Owolabi attributes this disparity to the perception that many South Africans still see obesity as a sign of affluency and wealth [16].

Obesity and Influenza Pandemic

The H1N1 influenza A pandemic affected South Africa late 2009 which posed an extra burden on the health system that was already dealing with a high prevalence of chronic lung disease (specifically Tuberculosis) and HIV as well as emerging NCD’s such as diabetes mellitus. A literature review on the research study conducted by Koegelenberg will be done to emphasise on the ramifications of obesity and the H1N1 influenza virus [17].

Koegelenberg conducted a 6 weeks observational study of (n=19) patients confirmed for H1N1. n=15 patients were female between the ages of +/- 20-63 and n=4 males between the ages of +/- 33-64 (appendix 1). n=16 of these patients had an underlying risk factors which were: Pregnancy n=6, type 2 diabetes mellitus n=6 and obesity n=4 (appendix 2). The study observed the patients during the hospital admission and post admission. Figure 2 below shows the baseline characteristics, risk factors, disease severity, management, complications and outcome. As highlighted in figure 2, 3 out of the 4 obese patients died. 3 of which had 2 or more morbidities. Out of the 19 patients only 6 survived.

medical-and-health-sciences-study-participants

Appendix 1: Table showing gender and age distribution amongst study participants.

medical-and-health-sciences-severity-indices

Appendix 2: Table showing individual risk factors and disease severity indices.

medical-and-health-sciences-baseline-characteristics

Figure 2: Table showing baseline characteristics, risk factors, disease severity, management, complications and outcome.

Risk of Infection

Studies that asses risk of infection in the obese populous have been based on analysing infection rate among individuals who had previously been vaccinated against seasonal influenza [18]. No coherent study shows risk of infection with any influenza pandemic virus. However, studies do show a near true replica of the susceptibility that obese individuals possess an increased risk of infection. Neidich conducted a study between vaccinated obese adults (BMI>30) and vaccinated healthy weight adults (BMI 18.5-24.9) to assess the risk of susceptibility to seasonal influenza amongst both populations. In this study 9.8% of obese adults and only 5.1% of healthy weight patients were laboratory confirmed to been infected with the seasonal influenza [19]. The relative risk (RR) of infection amongst the obese participants proved to be 2.1 with a 95% probability that the true RR lie between 1,12-3,60. This shows that compared to the healthy weight, the obese participants had a double risk of influenza infection. Thus, corroborating that obesity undermines the efforts to provide immunity as will further on be explored.

Hospitalisation Risk

Risk of hospitalisation increases amongst individuals >20years of age infected with the H1N1 influenza [20]. The author continues to state that this risk of hospitalization increases drastically when the individual also has a severe case of obesity regardless of the individual being predisposed to other chronic medical conditions (Morgan et al, 2010). As noted from Koegelenberg, the mean age of the participants was 32 years. In the study all 4 obese patients were hospitalised. In the Koegelenberg study, Patient 12 was hospitalised but was the only obese patient to survive. This maybe inconclusively due to her not having any other underlying issues as compared to the other 3 obese patients. However, regardless of the outcome the hospitalisation risk in Koegelenberg study reiterates Morgan assessment that obesity increases risk of hospitalisations. Therefore, Han concluded that obesity has been highly associated with an increased number of hospitalisations in adults who were exposed to seasonal influenza [21].

Risk ICU Admission and Risk of Death

In the study conducted by Koegelenberg 68.4% of the study population died during ICU admission. The study observed that these patients had identifiable risks for severe infection which were mainly pregnancy, type 2 diabetes and obesity. According to Akinnusi obesity is parallel to complications in ICU which includes prolonged stay, longer ventilation period and higher mortalities. A global pooled analysis amongst 19 countries was conducted by Van Kerkhove which identifies obesity as a risk that has increased disease severity. Obesity represented a median of 6% hospitalizations, 11.3% ICU admissions and 12% fatal H1N1 cases (appendix 4). The study found that compared to the general population the risk connected to obesity and morbid obesity was increased with a Relative Risk (death) of 36.3%. The cohort study conducted by Bercault found to have a odds ratio (OR) of 2.1 which suggest a 95% probability that the true OR lie between 1.2-3.6 CI for the association between obesity and mortality. Thus, proving that obesity is an autonomous risk factor for ICU admissions and increased deaths therefore should be noted as critical co morbidity.

medical-and-health-sciences-box-plot

Appendix 3: box plot showing antibody titers in different BMI’s.

medical-and-health-sciences-interquartile-range

Appendix 4: Table showing risk factor, severity level of cases and serverity of disease interquartile range.

Response to Vaccination

Obesity on its own is an immunosuppressive condition [18]. However, there have not been many studies conducted that compare influenza infection rate and cellular immune response amongst healthy weight, overweight and obese populations. Sheridan conducted a prospective observational study in the aim to understand the effectiveness of the influenza vaccine in healthy weight, overweight and obese participants. The study had 499 participants with 29.7% healthy weight, 33.4% overweight and 35.5% obese. 12 months post vaccination the study found that a higher BMI was associated with a substantial decline in influenza antibody titers (appendix 3). Although the participants had underlying morbidities such as diabetes, the study states that there was no association of antibody response and these conditions. Ethnicity had a marginal significance of (P=0,03) as well as sex had a marginal significance (P=0,08). Results from Sheridan show that the potential to form an immune response to influenza virus may be impaired by obesity.

Gaps

The lack of coherent research which aims to associate obesity as a direct or indirect co-morbidity during novel virus outbreaks highlights the dire need for extensive studies to continue being conducted in south Africa. The proposal of this paper reinforces the need to target and identify high risk populations. Which in return aims to provide better immunization, early medical advice and use of appropriate antiviral medications. Thus, reducing the infection rate amongst individuals with high risk factors especially overweight and obese populations. Henceforth, during the current impact of Covid-19 it is with great honour to propose research which aims to study these pandemics extensively

Conclusion

The proposal extensively indicates how obesity on its own is an immunosuppressive condition.Risk of hospitalization increases drastically when the individual also has a severe case of obesity regardless of the individual being predisposed to other chronic medical conditions. Compared to the general population the risk connected to obesity and morbid obesity was increased with a Relative Risk (death) of 36,3%.The findings stipulated in this proposal prove evident that a substantial proportion of people with severe and fatal cases of H1N1 had pre-existing chronic illness, which indicates that the presence of chronic illness increases the likelihood of infection, hospitalisation, admissions to ICU and death. Obesity acts as a “silver lining” for other noncommunicable and infectious diseases to continue thriving. With the current obesity projectile in South Africa the ramifications that develop due to its existence prove to be too intense for the country’s overwhelmed health system.

References