Quality of life evaluation of emergency professionals of public units of reference / Avaliação da qualidade de vida dos profissionais de emergência de unidades públicas de referência

OBJECTIVE: To analyze the quality of life of emergency professionals in public units of reference units in Rio Branco-Acre. METHODS: Cross-sectional and exploratory cross-sectional study, with 212 emergency professionals from October 2016 to June 2017. TheWe used the WHOQOL-bref questionnaires were...

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Veröffentlicht in:Brazilian Journal of Development 2022-02, Vol.8 (1), p.8144-8161
Hauptverfasser: Monteiro, Quíria Ribeiro da Silva, Lobato, Cirley Maria de Oliveira, Amaral, Tathiana Lameira Maciel, Costa, Jeane Maria Moura, Boas, Andreia Cristina Vilas, Monteiro, Ismael de Lima, Silva, Romeu Paulo Martins
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container_title Brazilian Journal of Development
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creator Monteiro, Quíria Ribeiro da Silva
Lobato, Cirley Maria de Oliveira
Amaral, Tathiana Lameira Maciel
Costa, Jeane Maria Moura
Boas, Andreia Cristina Vilas
Monteiro, Ismael de Lima
Silva, Romeu Paulo Martins
description OBJECTIVE: To analyze the quality of life of emergency professionals in public units of reference units in Rio Branco-Acre. METHODS: Cross-sectional and exploratory cross-sectional study, with 212 emergency professionals from October 2016 to June 2017. TheWe used the WHOQOL-bref questionnaires were used for quality of life questionnaires, the Epworth sleepiness scale, the Pittsburgh sleep quality index of Pittsburgh sleep, the international physical activity questionnaire-IPAQ-short versionform, the nutritional status, and the socio-demographic variables questionnaire. Data analysis was performed using descriptive statistics with the SPSS software, version 20.0, assuming a level of significance of 0.05. To verify the normality of the data, the Pearson's chi-square test, the Shapiro-Wilk test and the non-parametric Spearman’s nonparametric test were used to verify theperform the analyses of correlations betweenamong the variables of quality of life, health conditions and socio-demographic variables. RESULTS: The nursing category was the most studied with 68% (p = 0.045), and 39.2% (p = 0.611) presented an age range between 30-40 years. Among the professionals, 78.8% (p = 0.618) worked on rotatingional shifts, wherein which 41.5% (p = 0.093) presented a poor subjective sleep quality of bad sleep, being more expressive in men, with 50.6% (p = 0.093). Among men, higher risk behaviors were observed, with 11.1% (p = 0.003) for diabetes and 29.8% (p = 0.024) of the women presented with other diseases. According toRegarding the physical and psychological domains, the lowest meanssaverage of quality of life were evaluated in womenthe female sex (62.00 ± 17.00 and 67.23 ± 16.52), both domains with p
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METHODS: Cross-sectional and exploratory cross-sectional study, with 212 emergency professionals from October 2016 to June 2017. TheWe used the WHOQOL-bref questionnaires were used for quality of life questionnaires, the Epworth sleepiness scale, the Pittsburgh sleep quality index of Pittsburgh sleep, the international physical activity questionnaire-IPAQ-short versionform, the nutritional status, and the socio-demographic variables questionnaire. Data analysis was performed using descriptive statistics with the SPSS software, version 20.0, assuming a level of significance of 0.05. To verify the normality of the data, the Pearson's chi-square test, the Shapiro-Wilk test and the non-parametric Spearman’s nonparametric test were used to verify theperform the analyses of correlations betweenamong the variables of quality of life, health conditions and socio-demographic variables. RESULTS: The nursing category was the most studied with 68% (p = 0.045), and 39.2% (p = 0.611) presented an age range between 30-40 years. Among the professionals, 78.8% (p = 0.618) worked on rotatingional shifts, wherein which 41.5% (p = 0.093) presented a poor subjective sleep quality of bad sleep, being more expressive in men, with 50.6% (p = 0.093). Among men, higher risk behaviors were observed, with 11.1% (p = 0.003) for diabetes and 29.8% (p = 0.024) of the women presented with other diseases. According toRegarding the physical and psychological domains, the lowest meanssaverage of quality of life were evaluated in womenthe female sex (62.00 ± 17.00 and 67.23 ± 16.52), both domains with p &lt;0.001 and in the 51-60 age range   51-60 yearsof(59.10 ± 17.12 and 64.58 ± 18.16) with p = 0.024 and p = 0.037. 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METHODS: Cross-sectional and exploratory cross-sectional study, with 212 emergency professionals from October 2016 to June 2017. TheWe used the WHOQOL-bref questionnaires were used for quality of life questionnaires, the Epworth sleepiness scale, the Pittsburgh sleep quality index of Pittsburgh sleep, the international physical activity questionnaire-IPAQ-short versionform, the nutritional status, and the socio-demographic variables questionnaire. Data analysis was performed using descriptive statistics with the SPSS software, version 20.0, assuming a level of significance of 0.05. To verify the normality of the data, the Pearson's chi-square test, the Shapiro-Wilk test and the non-parametric Spearman’s nonparametric test were used to verify theperform the analyses of correlations betweenamong the variables of quality of life, health conditions and socio-demographic variables. RESULTS: The nursing category was the most studied with 68% (p = 0.045), and 39.2% (p = 0.611) presented an age range between 30-40 years. Among the professionals, 78.8% (p = 0.618) worked on rotatingional shifts, wherein which 41.5% (p = 0.093) presented a poor subjective sleep quality of bad sleep, being more expressive in men, with 50.6% (p = 0.093). Among men, higher risk behaviors were observed, with 11.1% (p = 0.003) for diabetes and 29.8% (p = 0.024) of the women presented with other diseases. According toRegarding the physical and psychological domains, the lowest meanssaverage of quality of life were evaluated in womenthe female sex (62.00 ± 17.00 and 67.23 ± 16.52), both domains with p &lt;0.001 and in the 51-60 age range   51-60 yearsof(59.10 ± 17.12 and 64.58 ± 18.16) with p = 0.024 and p = 0.037. 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METHODS: Cross-sectional and exploratory cross-sectional study, with 212 emergency professionals from October 2016 to June 2017. TheWe used the WHOQOL-bref questionnaires were used for quality of life questionnaires, the Epworth sleepiness scale, the Pittsburgh sleep quality index of Pittsburgh sleep, the international physical activity questionnaire-IPAQ-short versionform, the nutritional status, and the socio-demographic variables questionnaire. Data analysis was performed using descriptive statistics with the SPSS software, version 20.0, assuming a level of significance of 0.05. To verify the normality of the data, the Pearson's chi-square test, the Shapiro-Wilk test and the non-parametric Spearman’s nonparametric test were used to verify theperform the analyses of correlations betweenamong the variables of quality of life, health conditions and socio-demographic variables. RESULTS: The nursing category was the most studied with 68% (p = 0.045), and 39.2% (p = 0.611) presented an age range between 30-40 years. Among the professionals, 78.8% (p = 0.618) worked on rotatingional shifts, wherein which 41.5% (p = 0.093) presented a poor subjective sleep quality of bad sleep, being more expressive in men, with 50.6% (p = 0.093). Among men, higher risk behaviors were observed, with 11.1% (p = 0.003) for diabetes and 29.8% (p = 0.024) of the women presented with other diseases. According toRegarding the physical and psychological domains, the lowest meanssaverage of quality of life were evaluated in womenthe female sex (62.00 ± 17.00 and 67.23 ± 16.52), both domains with p &lt;0.001 and in the 51-60 age range   51-60 yearsof(59.10 ± 17.12 and 64.58 ± 18.16) with p = 0.024 and p = 0.037. CONCLUSION: The quality of life of emergency professionals is linked to different factors that may directly interfere with public health. </abstract><doi>10.34117/bjdv8n1-548</doi></addata></record>
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