Factores clínicos y sociodemográficos asociados al tiempo de permanencia en la policía militar

Oliveira, Cleise Cristine Ribeiro Borges; Silva, Carla Tatiane Oliveira; Coelho, Ana Carla Carvalho; Carneiro, Bruna Rafaela; Bastos, Milena de Carvalho; Canuto, Pollyanna Jorge; Moraes, Mariana de Almeida; Mussi, Fernanda Carneiro; Pires, Cláudia Geovana da Silva

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Sumário

ORIGINAL ARTICLE • Rev. esc. enferm. USP 57 • 2023 • https://doi.org/10.1590/1980-220X-REEUSP-2023-0089en copiar

Factores clínicos y sociodemográficos asociados al tiempo de permanencia en la policía militar

Autoría SCIMAGO INSTITUTIONS RANKINGS

RESUMEN

Objetivo:

Verificar la asociación entre factores clínicos y sociodemográficos y el tiempo de permanencia en la policía militar.

Método:

Estudio transversal, con 432 policías militares de unidades del Comando de Policía Regional Este de la Policía Militar de Bahía de Feira de Santana. La recolección de datos se realizó de agosto a diciembre de 2022 a través de Google Forms utilizando el Cuestionario Internacional de Actividad Física.

Resultados:

Predominaron los hombres (82,35%), la raza/color fue negra (87,04%), el jefe de familia tenía estudios superiores (47,69%) y los policías con pareja (81,94%). El riesgo de pasar tiempo sentado ≥ 180 minutos por día fue menor en los hombres (IRR < 1). El aumento de la edad se asoció con un menor riesgo de pasar tiempo sentado ≥ 180 minutos por día (IRR < 1).

Conclusión:

Los policías varones con más años de experiencia estuvieron menos expuestos al comportamiento sedentario. Cobran relevancia intervenciones y políticas de salud específicas dirigidas a combatir el sedentarismo, con el objetivo de promover la salud y prevenir enfermedades.

DESCRIPTORES
Policía; Enfermería; Conducta Sedentaria; Actividad Motora; Factores Socioeconómicos

df	Derisory	Small	Medium	Large
1	<0.10	<0.30	<0.50	≥0.50
2	<0.07	<0.21	<0.35	≥0.35
3	<0.06	<0.17	<0.29	≥0.29
4	<0.05	<0.15	<0.25	≥0.25
5	<0.04	<0.13	<0.22	≥0.22

Variable	Time sitting <180 min/day (n = 75)	Time sitting ≥180 min/day (n = 357)	p	TE
Sex			0.190¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.063
Female	8 (10.67)	63 (17.65)
Male	67 (89.33)	294 (82.35)
Age			0.020² 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.112
Mean (SD)	41.12 (7.30)	38.93 (7.34)
Median (Q1 – Q3)	42.00 (36.00–46.50)	39.00 (34.00–44.00)
Race/color			0.769¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.014
Non-black	11 (14.67)	45 (12.61)
Black (balck and brown)	64 (85.33)	312 (87.39)
Education of the head of the family			0.613² 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.024
Median (Q1 – Q3)	4.00 (4.00–5.00)	4.00 (4.00–5.00)
No formal education/Incomplete elementary school I	4 (5.33)	16 (4.48)
Complete elementary school I/ Incomplete elementary school II	1 (1.33)	15 (4.20)
Complete elementary school II/ Incomplete high school	1 (1.33)	10 (2.80)
Complete high school/Incomplete higher education	32 (42.67)	147 (41.18)
Complete higher education	37 (49.33)	169 (47.34)
Family monthly income			0.119²	–0.075
Mean (SD)	6.03 (6.39)	6.11 (4.40)
Median (Q1 – Q3)	5.00 (3.00–6.00)	5.00 (4.00–7.00)
Number of people who depend on income			0.081² 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.084
Mean (SD)	3.52 (1.46)	3.23 (1.24)
Median (Q1 – Q3)	4.00 (2.00–4.00)	3.00 (2.00–4.00)
Monthly income			0.165² 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	–0.067
Mean (SD)	4410.93 (3112.34)	4635.38 (2535.14)
Median (Q1 – Q3)	4000.00 (3000.00–5000.00)	4000.00 (3000.00–5000.00)
Marital status			1.000¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.000
With partner	61 (81.33)	293 (82.07)
Without partner	14 (18.67)	64 (17.93)
Hypertension			0.338¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.046
No	59 (78.67)	300 (84.03)
Yes	16 (21.33)	57 (15.97)
Coronary artery disease			0.913¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.021
No	66 (88.00)	309 (86.55)
Do not know	4 (5.33)	19 (5.32)
Yes	5 (6.67)	29 (8.12)
Dyslipidemia			0.549¹ 1. Chi-square test of independence; 2. Mann-Whitney test; ES = effect size. The following effect sizes were calculated: r, for the Mann-Whitney test; Cramer’s V, for the chi-square test of independence.	0.053
No	31 (41.33)	172 (48.18)
Do not know	3 (4.00)	14 (3.92)
Yes	41 (54.67)	171 (47.90)

Independent variable	IRR	95% CI	P
Dyslipidemia
No	–	–
Do not know	1.000	0.902; 1.110	0.995
Yes	0.992	0.952; 1.035	0.721
Coronary artery disease
No	–	–
Do not know	1.003	0.922; 1.090	0.951
Yes	1.034	0.964; 1.109	0.347
Hypertension
No	–	–
Yes	0.996	0.936; 1.059	0.887
Sex
Female	–	–
Male	0.950	0.903; 0.999	0.045
Age	0.996	0.993; 1.000	0.025

Universidade de São Paulo, Escola de Enfermagem Av. Dr. Enéas de Carvalho Aguiar, 419 , 05403-000 São Paulo - SP/ Brasil, Tel./Fax: (55 11) 3061-7553, - São Paulo - SP - Brazil
E-mail: reeusp@usp.br

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[1] Corresponding author: Cleise Cristine Ribeiro Borges Oliveira Rua Augusto Viana, Campus Canela 40110-100 – Salvador, BA, Brazil cleisecristine@gmail.com