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10.1371/journal.pone.0245432

http://scihub22266oqcxt.onion/10.1371/journal.pone.0245432
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33444352!7808625!33444352
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suck abstract from ncbi


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pmid33444352      PLoS+One 2021 ; 16 (1): e0245432
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  • Health conditions of potential risk for severe Covid-19 in institutionalized elderly people #MMPMID33444352
  • Araujo MPD; Nunes VMA; Costa LA; Souza TA; Torres GV; Nobre TTX
  • PLoS One 2021[]; 16 (1): e0245432 PMID33444352show ga
  • The objective of this study was to identify the health conditions considered potential risk factors for severe Covid-19 and analyze its association with the BMI of elderly people living in Long-Term Care Facilities (LTCF). This is a descriptive and cross-sectional study, with a quantitative approach, carried out in eight LTCF in the Metropolitan Region of Natal, Rio Grande do Norte, with a population of 267 elderly people, between the months of February and December 2018. The Elderly Health Handbook was used to collect data on sociodemographic, health and risk factors. The Pearson's Chi-square test and odds ratio were used for the analysis. A higher frequency of low weight was observed in elderly people with cognitive impairment (24.6%), and overweight in those hypertensive (23.3%) and diabetics (12.9%). BMI was associated with the age group of 80 years or over, hypertension and diabetes (p = 0.013; p < 0.001; p = 0.001). Hypertensive elderly people were more likely to have low weight when compared to non-hypertensive individuals (RC = 3.6; 95% CI 1.5-8.6). The institutionalized elderly individuals present health conditions that may contribute to the occurrence of adverse outcomes in case of infection by Covid-19. The importance of protective measures for this population must be reinforced, in view of the devastating action of this disease in these institutions.
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Brazil/epidemiology[MESH]
  • |COVID-19/*epidemiology/mortality/transmission[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Homes for the Aged/*statistics & numerical data/trends[MESH]
  • |Humans[MESH]
  • |Institutionalization/statistics & numerical data/trends[MESH]
  • |Male[MESH]
  • |Nursing Homes/*statistics & numerical data/trends[MESH]
  • |Risk Factors[MESH]


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