Sociodemographic aspects of the older population in front of COVID-19 pandemic in a developing country: the case of Peru

Aspectos sociodemográficos de la población adulta mayor frente a la pandemia de la COVID-19 en un país en vías de desarrollo: el caso de Perú

To the editor:

On August 2020, National Institute of Statistics and Information updated population data (32,625,948 citizens)11. Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf.
https://www.inei.gob.pe/media/MenuRecurs...
in which Peru became the second country with the highest mortality rate from coronavirus disease 2019 (COVID-19) around the world with 91.5 deaths per 100,000 people and a case fatality rate (CFR) of 4.32%.22. Worldometer. COVID-19 coronavirus pandemic. 2020. Available at: https://www.worldometers.info/coronavirus/?
https://www.worldometers.info/coronaviru...
It is known public health system deficiencies could contribute to high mortality rates but sociodemographic features of individuals over 60 years old (older adult) are also matter factors which may explain the impact of the disease.

First of all, older adults are a risk group for severe COVID-19 and represent 12.7% of the national population11. Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf.
https://www.inei.gob.pe/media/MenuRecurs...
. In fact, almost 70% of COVID-19 deaths have been of this group age in Peru. We did not have access to the quantity data of stratified age groups but present CFRs by age and sex in Table 1. Our findings determined that males between 90-99 years was the most affected age group (CFR = 39.35%). In accordance with the current evidence,33. Sudharsanan N, Didzun O, Bärnighausen T, et al. The contribution of the age distribution of cases to COVID-19 case fatality across countries. Ann Intern Med. 2020:M20-973, doi: 10.7326/M20-2973. Online ahead of print.
https://doi.org/10.7326/M20-2973...
,44. Alkhouli M, Nanjundappa A, Annie F, et al. Sex differences in case fatality rate of COVID-19: insights from a multinational registry. Mayo Clin Proc. 2020;95:1613-20. we corroborated older adults and men were the most affected groups.

On the other hand, 42% and 29.5% of nuclear and extended families had at least one older adult respectively; and 19.6% were one-older adult households11. Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf.
https://www.inei.gob.pe/media/MenuRecurs...
, so they might be exposed to potential cases. In order to contain COVID-19, Peruvian government has implemented several strategies and diffuse mainly precautionary measures through the media. Nevertheless, 66.3% and 61.1% of households with at least one older adult do not have internet service and cable television, respectively and almost 17 out of every 100 older adults are illiterate at the national level1. These conditions may make it difficult the access to preventive information.

Staying at home has also been recommended but this is unlikely because 14.9% of older adults are in poverty, more than half who work (53.5%) are independent and 63% does not have any retirement system33. Sudharsanan N, Didzun O, Bärnighausen T, et al. The contribution of the age distribution of cases to COVID-19 case fatality across countries. Ann Intern Med. 2020:M20-973, doi: 10.7326/M20-2973. Online ahead of print.
https://doi.org/10.7326/M20-2973...
. Furthermore, 63% of the national population, with at least one older adult, do not have a refrigerator.11. Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf.
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These characteristics influence this group in order to go out street or to work in informal jobs, exposing themselves to contagion risk and possible adverse outcomes.

Finally, another recommendation to avoid COVID-19 is frequent hand washing. Indeed, it has been recognized as the most efficient form of prevention among Peruvian general population (98.2%).55. Zegarra-Valdivia J, Vilca BNC, Guerrero RJA. Knowledge, perception and attitudes in regard to COVID-19 pandemic in Peruvian population. Psyarxiv. 2020. Available at: https://psyarxiv.com/kr9ya/download?format=pdf.
https://psyarxiv.com/kr9ya/download?form...
Although, 10% of households, with at least one older adult, still do not have a public water supply network.11. Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf.
https://www.inei.gob.pe/media/MenuRecurs...

COVID-19 pandemic affected Peru in a vulnerability context for the older population. This letter suggests sociodemographic components, including age, sex, type of household, the situation of internet service and cable television, illiteracy, economic situation, job category, the state of retirement system, the possession of refrigerator and the condition of water service, are potential key factors in shaping the pattern of COVID-19 deaths across the country. It is necessary to find a suitable way to support and reach this risk population.

Table 1.
Cases, deaths by COVID-19 and case fatality rates (data updated September 9, 2020).

References

  • 1
    Instituto Nacional de Estadística e Informática. Estado de la población peruana 2020. Lima; 2020. Available at: https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf
    » https://www.inei.gob.pe/media/MenuRecursivo/publicacionesdigitales/Est/Lib1743/Libro.pdf
  • 2
    Worldometer. COVID-19 coronavirus pandemic. 2020. Available at: https://www.worldometers.info/coronavirus/?
    » https://www.worldometers.info/coronavirus
  • 3
    Sudharsanan N, Didzun O, Bärnighausen T, et al. The contribution of the age distribution of cases to COVID-19 case fatality across countries. Ann Intern Med. 2020:M20-973, doi: 10.7326/M20-2973. Online ahead of print.
    » https://doi.org/10.7326/M20-2973
  • 4
    Alkhouli M, Nanjundappa A, Annie F, et al. Sex differences in case fatality rate of COVID-19: insights from a multinational registry. Mayo Clin Proc. 2020;95:1613-20.
  • 5
    Zegarra-Valdivia J, Vilca BNC, Guerrero RJA. Knowledge, perception and attitudes in regard to COVID-19 pandemic in Peruvian population. Psyarxiv. 2020. Available at: https://psyarxiv.com/kr9ya/download?format=pdf
    » https://psyarxiv.com/kr9ya/download?format=pdf

Publication Dates

  • Publication in this collection
    15 Apr 2022
  • Date of issue
    Nov-Dec 2021
Sociedad Española de Salud Pública y Administración Sanitaria (SESPAS) Barcelona - Barcelona - Spain
E-mail: gs@elsevier.com