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ORIGINAL ARTICLE07-18-2022
Factors associated with the use of the N95 respirator in university students in the daily life of COVID-19
Revista Brasileira de Enfermagem. 2022;75(6):e20210412
Abstract
ORIGINAL ARTICLEFactors associated with the use of the N95 respirator in university students in the daily life of COVID-19
Revista Brasileira de Enfermagem. 2022;75(6):e20210412
DOI 10.1590/0034-7167-2021-0412
Views0See moreABSTRACT
Objective:
To identify the factors associated with the use of the N95 respirator in Nursing and Medical students in the daily life of the covid-19 pandemic.
Methods:
Descriptive-analytical cross-sectional study carried out in 2020. A total of 830 students from three universities in Peru participated in the study. Associations were evaluated using Pearson’s Chi-Square and multivariate Poisson modeling with log linkage.
Results:
Statistically significant differences were found between the preference to use the N95 respirator in relation to masks according to the activity they perform (p=0.001) and where they live (p=0.005). The multivariate analysis reported that the associated characteristics were age, activity performed, perception and fear of being infected by covid-19.
Conclusion:
The choice of N95 respirator is influenced by individual factors and perceptions. Spaces are needed to discuss daily life, the way of living, caring and educating, considering the socioeconomic dimensions and beliefs.
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ORIGINAL ARTICLE06-06-2022
Age, motor dysfunction and neuropsychiatric symptoms impact quality of life in multiple sclerosis
Revista Brasileira de Enfermagem. 2022;75(6):e20210207
Abstract
ORIGINAL ARTICLEAge, motor dysfunction and neuropsychiatric symptoms impact quality of life in multiple sclerosis
Revista Brasileira de Enfermagem. 2022;75(6):e20210207
DOI 10.1590/0034-7167-2021-0207
Views0See moreABSTRACT
Objectives:
to investigate the impact of age, motor dysfunction and neuropsychiatric symptoms on the quality of life of people with multiple sclerosis in comparison to healthy peers.
Methods:
a total of 141 participants were tested in a single session. The assessments were composed by general questionnaires applied in both groups and by specific instruments restricted to multiple sclerosis. Multiple regression models were applied to assess relationships between predictors and outcome.
Results:
age, motor dysfunction and neuropsychiatric symptoms explained 56.6% of quality of life of the multiple sclerosis group. Age and neuropsychiatric symptoms explained 36.6% of quality of life in the control group. Age impacted more the multiple sclerosis group than the control group. Neuropsychiatric symptoms affected both groups similarly. Motor dysfunction impacted 21.9% of the quality of life in multiple sclerosis.
Conclusions:
the predictors explained considerable variance of quality of life in multiple sclerosis, which should guide public health policies.