Análise da qualidade de vida do Policial Militar do Maranhão e correlação com: qualidade do sono, índices de obesidade central e estado hemodinâmico de repouso

• Ano de defesa: 2020
• Autor(a) principal: BOLANI, Wladimir
• Orientador(a): DIAS, Rodrigo Gonçalves
• Banca de defesa: DIAS, Rodrigo Gonçalves , PRADO, Danilo Marcelo Leite do , CABIDO, Christian Emmanuel Torres , AMORIM, Carlos Eduardo Neves
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUACAO EM EDUCAÇÃO FÍSICA
• Departamento: DEPARTAMENTO DE EDUCAÇÃO FÍSICA/CCBS
• País: Brasil
• Palavras-chave em Português: qualidade de vida; qualidade do sono; obesidade central; hipertensão arterial; DCNT; policial militar.
• Palavras-chave em Inglês: quality of life; sleep quality; central obesity; arterial hypertension; CNCD; military police.
• Área do conhecimento CNPq: Ciências da Saúde
• Link de acesso: https://tedebc.ufma.br/jspui/handle/tede/tede/3928

Objective: to describe and correlate quality of life, quality of sleep, state of drowsiness, Index of Central Obesity, and hemodynamic state of rest of military police (MPs) from Maranhão. Materials and Methods: sample: 404 MPs; 359 males (m; median age 33 years); 45 females (f; median age 32 years). Assessments: quality of life (QOL - WHOQOL-Bref); Pittsburgh Sleep Quality Index (PSQI); Epworth Sleepiness Scale (ESS); Results: MPs-m, had higher medians (p <0.05) of: systolic blood pressure (SBP - 132 vs 117 mmHg); diastolic blood pressure (PAD - 83 vs 75 mmHg). 57.6% of MPs-m were classified as prehypertensive or hypertensive. Higher means (p <0.05) of: body mass index (BMI - 27.4 vs 25.9 kg / m2); waist circumference (WC - 94.0 vs 86.6 cm) and waist-to-hip ratio (WHR - 0.92 vs 0.84 cm). The MPs-f, have higher averages (p <0.05) of: sum of skinfolds (92.6 vs 68.8 mm) and body fat percentage (25.8 vs 17.8% G). For MPs of both sexes, more than 50% are at relative risk for chronic noncommunicable diseases (CNCD), observed by the obesity indexes. Both sexes, presented physical, psychological and social relations domains of approximately 70 points and environment of approximately 60 points. For poor sleep (PSQI), approximately 60% of MPs and sleep disturbance, 13.5% of MPs-m and 8.9% of MPs-f. For ESS, excessive daytime sleepiness (EDS) was observed in 30.1% of MPs-m and 37.8% of MPs-f. In correlations (p <0.05) regardless of sexe: PSQI with physical, psychological, social and environmental domains (r = -0.421; -0.300, -0.280 and - 0.261); MPs-m (r = -0.427; -0.288; -0.275 and -0.283), respectively. MPs-f, PSQI with physical, psychological and social domains (r = -0.422; -0.385 and -0.311) and ESS (r = -0.389; -0.392 and -0.289), respectively. For MPs-m, waist-to-height ratio (WHtR), WHR and conicity index (CI), with age (r = 0.438; 0.490; 0.469) and total working time (TWT) (r = 0.414; 0.460; 0.420), respectively. For MPs-f, BMI with TWT, military work time (MWT), PAD and PAM (r = 0.550; 0.401; 0.542; 0.462); WC with TWT, MWT, military operational working time (MOWT) and PAD (r = 0.440; 0.512; 0.501; 0.511; 0.431), respectively. WHtR with TWT (r = 0.467); CI with TWT (r = 0.404). Discussion: The advancement of age and working time showed a positive correlation with the Index of Central Obesity and arterial hypertension (AH). MPs-m showed higher values and prevalence of these variables, suggesting greater risks for CNCD. For QOL, the domains were classified as regular and showed a negative correlation with sleep quality. Poor sleep affects approximately 60% of the MPs, approximately 10% had sleep disorders and more than 30% had EDS, with the MPs-f in more compromised conditions in this last variable. Conclusion: the results demonstrate health impairment, assessed by blood pressure and obesity rates. In addition, the study demonstrated impaired sleep and QOL, highlighting the need for interventions to reverse this condition.