Clinical and sociodemographic factors associated with time spent sitting in military police

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

doi:10.1590/1980-220X-REEUSP-2023-0089en

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

Clinical and sociodemographic factors associated with time spent sitting in military police^* * Extracted from the doctoral thesis: “Nível de atividade física em policiais militares: fatores preditores e protocolo de intervenção de Enfermagem”, Universidade Federal da Bahia, 2023.

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

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Objective:

To verify the association between clinical and sociodemographic factors and time spent sitting in military police.

Method:

This is a cross-sectional study, with 432 military police officers from Eastern Regional Policing Command units of the Military Police of Bahia de Feira de Santana. Data collection took place from August to December 2022 through Google Forms using the International Physical Activity Questionnaire.

Results:

Men predominated (82.35%), race/color was black (87.04%), the head of the family had completed higher education (47.69%) and police officers with a partner (81.94%). The risk of time spent sitting ≥ 180 minutes per day was lower in males (IRR < 1). Increasing age was associated with a lower risk of time spent sitting ≥ 180 minutes per day (IRR < 1).

Conclusion:

Male police officers with more years of experience were less exposed to sedentary behavior. Specific interventions and health policies aimed at combating sedentary behavior become relevant, aiming to promote health and prevent diseases.

DESCRIPTORS
Police; Nursing; Sedentary Behavior; Motor Activity; Socioeconomic Factors

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

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Clinical and sociodemographic factors associated with time spent sitting in military police* * Extracted from the doctoral thesis: “Nível de atividade física em policiais militares: fatores preditores e protocolo de intervenção de Enfermagem”, Universidade Federal da Bahia, 2023.

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

ABSTRACT

Objective:

Method:

Results:

Conclusion:

Clinical and sociodemographic factors associated with time spent sitting in military police^* * Extracted from the doctoral thesis: “Nível de atividade física em policiais militares: fatores preditores e protocolo de intervenção de Enfermagem”, Universidade Federal da Bahia, 2023.