Nutritional Status and COVID-19 among Older Persons in Kerala, India

Spatio-temporal epidemiology and associated indicators of COVID-19 (wave-I and II) in India

The spatio-temporal distribution of COVID-19 across India's states and union territories is not uniform, and the reasons for the heterogeneous spread are unclear. Identifying the space-time trends and underlying indicators influencing COVID-19 epidemiology at micro-administrative units (districts) will help guide public health strategies. The district-wise daily COVID-19 data of cases and deaths from February 2020 to August 2021 (COVID-19 waves-I and II) for the entire country were downloaded and curated from public databases. The COVID-19 data normalized with the projected population (2020) and used for space-time trend analysis shows the states/districts in southern India are the worst hit. Coastal districts and districts adjoining large urban regions of Mumbai, Chennai, Bengaluru, Goa, and New Delhi experienced > 50,001 cases per million population. Negative binomial regression analysis with 21 independent variables (identified through multicollinearity analysis, with VIF < 10) covering demography, socio-economic status, environment, and health was carried out for wave-I, wave-II, and total (wave-I and wave-II) cases and deaths. It shows wealth index, derived from household amenities datasets, has a high positive risk ratio (RR) with COVID-19 cases (RR: 3.577; 95% CI: 2.062-6.205) and deaths (RR: 2.477; 95% CI: 1.361-4.506) across the districts. Furthermore, socio-economic factors such as literacy rate, health services, other workers' rate, alcohol use in men, tobacco use in women, overweight/obese women, and rainfall have a positive RR and are significantly associated with COVID-19 cases/deaths at the district level. These positively associated variables are highly interconnected in COVID-19 hotspot districts. Among these, the wealth index, literacy rate, and health services, the key indices of socio-economic development within a state, are some of the significant indicators associated with COVID-19 epidemiology in India. The identification of district-level space-time trends and indicators associated with COVID-19 would help policymakers devise strategies and guidelines during public health emergencies.

Social isolation, depression, nutritional status and quality of life during COVID-19 among Chinese community-dwelling older adults: a cross-sectional study

OBJECTIVE

This survey investigated the relationship between social isolation, depression, nutritional status and quality of life among community-dwelling older adults during COVID-19.

DESIGN

This was a cross-sectional survey study.

SETTING

Communities in Pudong New Area, Shanghai, China that have contracted with Renji Hospital, affiliated with Shanghai Jiao Tong University School of Medicine.

PARTICIPANTS

From May to July 2022, 406 community-dwelling older adults were selected by convenience sampling in Shanghai, China.

PRIMARY AND SECONDARY OUTCOME MEASURES

The Lubben Social Network Scale, Geriatric Depression Scale, 36-item Short Form Health Survey Scale and risk assessment of malnutrition were used in older adults. Mediation models were constructed to determine the mediating role of depression and nutritional status on social isolation and quality of life among older adults.

RESULTS

The prevalence of social isolation among older adults in the community was 44.3%. The total social isolation score in community-dwelling older adults was positively associated with the total malnutrition risk and quality of life scores, and negatively associated with depression (p<0.01). Logistic regression demonstrated that living alone, loss of families or friends during COVID-19 and depression were risk factors for social isolation among community-dwelling older adults (p<0.05). Social isolation could directly affect the quality of life (β=0.306). In addition, depression (β=0.334) and nutritional status (β=0.058) had a significant mediating effect on the relationship between social isolation and quality of life.

CONCLUSIONS

Our findings showed that the prevalence of social isolation among older adults increased during COVID-19. Depression and nutritional status played parallel mediating roles on the effect of social isolation on quality of life. Community workers and healthcare providers should develop intervention plans to improve the status of social isolation in older adults, eliminating existing and ongoing adverse effects.

Cut-off of Anthropometric Measurements and Nutritional Status among Elderly Outpatients in a Tertiary Health Care Center in Telangana

Introduction:Geriatric population is most vulnerable to various emerging communicable and noncommunicable diseases due to various socio-economic, physiological, psychological and nutritional risk factors. Adequate nutritional status is utmost important in older age as it helps in maintaining the immune response and preventing the morbidities and mortalities in this age. Thus, the opportunistic screening of malnutrition among geriatric population gives an extra edge for achievement of healthy ageing in the elderly. The objective of the present study was to assess the nutritional status among the elderly population and provide cut-off values of various anthropometric measurements for detecting the risk of malnutrition among old age people. Materials and methods:The present cross-sectional study was carried out among people aged . 60 years who visited the geriatric clinic of a tertiary health care center between May and December 2021. The nutritional status of the 468 selected elderly was assessed using the Mini Nutritional Assessment (MNA) tool and various anthropometric measurements. Receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off values of anthropometric measurements. Correlation between various anthropometric parameters was studied. Data was analyzed using SPSS vs. 20 software. Results:Out of the 468 subjects, around one third had a risk of malnutrition and 7% malnutrition as per the MNA scale. Cut-off values of triceps skinfold thickness, neck circumference and arm muscle circumference were 12.5 cm, 32.5 cm, 18.3 cm and 11.5 cm, 35.5 cm, 21.2 cm for detecting malnutrition and risk of malnutrition, respectively. Neck circumference was found to be the most suitable measurement, with a cut-off value of 32.5 cm and 35.5 cm for detecting malnutrition and risk of malnutrition, respectively, as it possessed the highest Youden index and AUC. Conclusion:The prevalence of malnutrition was found to be low in the present study setting. Our findings firmly established that the neck circumference could be used as a simple, rapid, non-invasive and valid screening tool, with high sensitivity and specificity for detecting the risk of malnutrition in geriatric clinics or primary health care settings.

Impact of government policies on individual choices of food and potential impact on outcomes and nutrition among vulnerable population during COVID-19 pandemic in low- to middle-income country: Literature review

Corona Virus Disease 2019 (COVID-19) is a highly infectious disease which has affected almost all countries globally. The disease is caused by the corona virus, transmitted from human to human through droplet infection. The virus was first identified in China in December 2019, and spread worldwide. Despite the virus being highly infectious, there is no cure for coronavirus disease COVID-19. The current global approach in the fight against COVID-19 focuses on travel bans including border closures, restrictions on mass gatherings, and mass vaccination of all adults. However, the travel bans and border closures have shown to negatively affect availability, accessibility, and affordability of basic needs such as food, especially for populations in the low- to middle-income countries. This is so since a good percentage of population in low- to middle-income countries live on hand to mouth, and cannot afford adequate food stock to sustain them for a long period of time. In addition, there is a challenge to afford purchasing storage facilities such as refrigerators for storage of fresh foods. Therefore, the purpose of this narrative literature review is to unveil the impact of government policies on individual choices of food and potential impact on outcomes and nutrition in children, elderly and chronically ill individuals in the COVID-19 pandemic era in low- and middle-income countries from 2020 to 2021.