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ASSOCIATION BETWEEN CARDIOVASCULAR RISK FACTORS AND
ANTHROPOMETRIC INDICATORS IN MILITARY POLICE OFFICERS
ASOCIACIÓN ENTRE FACTORES DE RIESGO CARDIOVASCULAR=
E
INDICADORES ANTROPOMÉTRICOS EN POLICÍAS MILITARE
ASSOCIAÇÃO EN=
TRE
FATORES DE RISCO CARDIOVASCULAR E INDICADORES ANTROPOMÉTRICOS EM POLICIAIS
MILITARES
Karleandro Pe=
reira
do Nascimento1
Huana Carolina
Cândido Morais2
Samia Jardelle
Costa de Freitas Maniva3
Regina Kelly
Guimarães Gomes Campos4
Ana Carolina =
Matias
Dinelly Pinto5
Thecia Lariss=
a da
Silva Ribeiro6
[1]=
Residente (R=
2) de
Enfermagem em Cardiopneumologia pela Escola de Saúde Pública Paulo Marcelo
Martins Rodrigues (ESP/CE). Especialista em Enfermagem em Unidade de Terapia
Intensiva pelo Centro Universitário Estácio do Ceará (ESTÁCIO). Fortaleza, =
CE,
Brasil. https://orcid.org/0000-0003-2621-6566
² Mestrado e Doutorado em Enferm=
agem
pela Universidade Federal do Ceará (UFC). Docente do Instituto de Ciências =
da
Saúde da Universidade da Integração Internacional da Lusofonia Afro-Brasile=
ira
(UNILAB). Redenção, CE, Brasil. https://orcid.org/0000-0001-6435-1457
³ Doutora em Enfermagem pela
Universidade Federal do Ceará (UFC). Mestre em Cuidados Clínicos em Saúde p=
ela
Universidade Estadual do Ceará (UECE). Docente do Curso de Enfermagem da
Universidade Federal do Ceará (UFC). Fortaleza, CE, Brasil. https://orc=
id.org/0000-0002-3350-3195
4 Doutoranda em
Enfermagem pela Universidade Federal do Ceará (UFC). Mestre em Saúde Pública
pela Faculdade de Medicina/Departamento de Saúde Comunitária/ Universidade =
Federal
do Ceará (UFC). Fortaleza, CE, Brasil. https://orcid.org/0000-0002-2863-1002
5 Doutorado em Ciências Médicas pela Universidade
Federal do Ceará (UFC). Mestrado em Microbiologia Médica pela Universidade
Federal do Ceará (UFC). Fortaleza, CE, Brasil.=
https://orcid.org/0000-0002-2411-6708
6 Especialista=
em
Saúde Mental e Atenção Psicossocial pelo Centro Universitário Estácio
(ESTÁCIO). Atua como Enfermeira no Centro de Atenção Psicossocial da modali=
dade
Álcool e Outras Drogas Norte III (CAPS AD III NORTE), no município de Natal=
/RN.
Natal, RN, Brasil. https://orcid.org/0000-0002-8794-9117
Autor
Correspondente:
Karleandro Pereira do
Nascimento
Endereço: Rua Silvei=
ra
da Mota, 67, apartamento 104. Messejana, Fortaleza-CE. CEP 60841-555. Tel. =
+55
(88) 9 9276-9625 - E-mail: karleandropn@gmail.com
ABSTRACT
Objective: To evaluate the association between cardiovascular risk factors and
anthropometric indicators in Military Police officers. Methods: This=
is
a cross-sectional study, with a quantitative approach, carried out in two
municipalities in the State of Ceará, Brazil. Data collection was performed=
by
means of interviews to obtain sociodemographic variables, police practice,
clinical data and behavioral aspects; and physical examination to obtain
anthropometric indicators. Data were analyzed by descriptive and inferential
statistics. Results: 107 military police participated in the study.
There was a predominance of men, with an average age of 37.17 years, who
performed operational activities. An association and statistical significan=
ce
were verified between two anthropometric indicators and four cardiovascular
risk factors, namely: conicity index with alcoholism, arterial hypertension,
diabetes mellitus and role in the police; waist-hip ratio with alcoholism,
arterial hypertension, diabetes mellitus and family history of cardiovascul=
ar
disease. Each of the other anthropometric indices evaluated (weight, waist
circumference, hip circumference, abdominal circumference, body mass index,=
waist-to-height
ratio) had statistical significance with only two cardiovascular risk facto=
rs.
The presence of arterial hypertension showed a statistically significant
association with all anthropometric indicators evaluated, while a sedentary
lifestyle had no significant association with any of them. The simplified
Framingham score described low cardiac risk among the participants and only
showed statistical significance with arterial hypertension and diabetes
mellitus. Conclusion: Anthropometric indicators, especially the coni=
city
index and waist-hip ratio, can be used to track cardiovascular risk factors=
in
military police officers.
Keywords: Heart Diseas=
e Risk
Factors; Anthropometry; Cardiovascular Nursing; Police; Chronic Disease.
RESUMO
Objetivo: Avaliar a
associação entre fatores de risco cardiovascular e indicadores antropométri=
cos
em Policiais Militares. Métodos: Trata-se de um estudo transversal, =
com
abordagem quantitativa, realizado em dois municípios do Estado do Ceará,
Brasil. A coleta dos dados foi realizada por meio de entrevista para obtenç=
ão
de variáveis sociodemográficas, exercício policial, dados clínicos e aspect=
os
comportamentais; e exame físico para obtenção dos indicadores antropométric=
os.
Os dados foram analisados por estatística descritiva e inferencial. Resu=
ltados:
Participaram do estudo 107 policiais militares. Predominaram homens, com id=
ade
média de 37,17 anos, que exerciam atividades operacionais. Foi verificada
associação e significância estatística entre dois indicadores antropométric=
os e
quatro fatores de risco cardiovascular, a saber: índice de conicidade com
alcoolismo, hipertensão arterial, diabetes mellitus e função exercida na
polícia; relação cintura-quadril com alcoolismo, hipertensão arterial, diab=
etes
mellitus e antecedente familiar de doença cardiovascular. Cada um dos demais
índices antropométricos avaliados (peso, circunferência da cintura,
circunferência do quadril, circunferência abdominal, índice de massa corpor=
al,
razão cintura-estatura) possuíam significância estatística com somente dois
fatores de risco cardiovascular. A presença de hipertensão arterial apresen=
tou
associação estatisticamente significante com todos os indicadores
antropométricos avaliados, enquanto sedentarismo não teve associação
significante com nenhum deles. O escore de Framingham simplificado descreveu
baixo risco cardíaco entre os participantes e só apresentou significância
estatística com hipertensão arterial e diabetes mellitus. Conclusão:
indicadores antropométricos, especialmente o índice de conicidade e a relaç=
ão
cintura-quadril, podem ser empregados para rastrear fatores de risco
cardiovascular em policiais militares.
Palavras-chave: Fatores de Risco de Doenças Cardíacas; Antropometria; Enfermagem
Cardiovascular; Polícia; Doença Crônica.
RESUM=
EN
Objetivo: Evaluar la asociación entre factores de riesgo
cardiovascular e indicadores antropométricos en Policías Militares. Métodos: Se trata de un estudio
transversal, con abordaje cuantitativa, realizado en dos municipios del Est=
ado
del Ceará, Brasil. La recolección de datos fue realizada a través de entrev=
ista
para obtención de variables sociodemográficas, ejercicio policial, datos
clínicos y aspectos conductuales; y examen físico para obtención de los
indicadores antropométricos. Los datos fueron analizados por estadística
descriptiva e inferencial. Resulta=
dos:
Participaron del estudio 107 policías militares. Predomininaron los hombres=
con
edad media de 37,17 años, que realizaban actividades operacionales. Se veri=
ficó
asociación y significancia estadística entre dos indicadores antropométrico=
s y
cuatro factores de riesgo cardiovascular, a saber: índice de conicidad con alcoholismo, hipertensión arterial,
diabetes mellitus y función ejercida en la policía; relación cintura-cadera=
con
alcoholismo, hipertensión arterial, diabetes mellitus y antecedente familia=
r de
enfermedad cardiovascular.
Cada uno de los demás índices
antropométricos evaluados (peso, circunferencia de cintura, circunferencia =
de
cadera, circunferencia abdominal, índice de masa corporal, razón cintura-es=
tatura)
tuvieron significación estadística con sólo dos factores de riesgo
cardiovascular. La presencia de hipertensión arterial mostró asociación
estadísticamente significativa con todos los indicadores antropométricos
evaluados, mientras que el sedentarismo no tuvo asociación significativa con
ninguno de ellos. La puntuación de Framingham simplificado describió bajo
riesgo cardíaco entre los participantes y solo mostró significación estadís=
tica
con hipertensión arterial y diabetes mellitus. Conclusión: indicadores antropométricos, especialmente el índic=
e de
conicidad y la relación cintura-cadera, pueden ser empleados para rastrear
factores de riesgo cardiovascular en policías militares.
Palabras-chave: Factores de =
Riesgo
del Enfermedades del Corazón; Antropometría; Enfermería Cardiovascular;
Policia; Enfermedad Crónica.
INTRODUCTION
Military police officers have risk fac=
tors
for cardiovascular diseases associated with their professional practice(1-2),
demanding continuous actions to screen this risk and promote health. From t=
his
perspective, nurses need to define practical and low-cost methods for this
verification, so the use of anthropometric indicators can be used. Such
indicators represent a set of low-complexity and low-cost methods, widely u=
sed
in epidemiological studies and which are associated with the assessment of
cardiometabolic diseases(1-2). However, it was not identified in=
the
literature which anthropometric indicators present the best correlation with
cardiovascular risk factors in these professionals.
Military Police have several factors t=
hat
trigger stress, which are reactions with a negative impact on physical and
mental health, including constant exposure to danger and aggression, in
addition to the threat of violence and risk of life in conflict zones(=
1).
Furthermore, the inherent character of the profession, the nature of the
activities performed, the work overload, the internal and external relation=
s to
the corporation, are some of the peculiar characteristics of the profession,
which contribute to the exposure of military police officers to cardiac risk
factors, the that affects their personal life and the performance of work
activities(2). In addition to being exposed to the most varied t=
ypes
of health problems, these professionals have high rates of lack of attendan=
ce
at work caused by some illness(1).
In this context, Cardiovascular Diseas=
es
(CVD) (ischemic heart disease, cerebrovascular disease, hypertensive heart
disease and other heart diseases) stand out, which are multicausal and are
influenced by genetic and biological factors, such as age, sex, family hist=
ory
of CVD, race and chronic comorbidities, such as arterial hypertension and
diabetes mellitus(3). Added to this are socioeconomic, environme=
ntal
and behavioral conditions to cardiovascular health, namely: education, inco=
me,
overweight, obesity, accumulation of fat in the abdominal region, stress,
smoking, alcoholism(4).
The nurse, as a health promoting agent,
plays an indispensable role in providing care to people with CVD or at high
risk for such diseases. Acting in the clinical management, promotion,
prevention and rehabilitation of these individuals, in addition to being
responsible for educating them on the importance of adopting a healthy
lifestyle (which includes a healthy diet, adequate physical activity and ab=
andoning
harmful health behaviors). Furthermore, in the context of CVD, nursing can =
act
synergistically with other health professionals(5).
In view of this scenario, one of the
methods used to assess cardiovascular risk are anthropometric indicators, s=
uch
measures comprise a set of simple procedures, with high reliability and low
cost(6). Anthropometric indicators that have a good predictive
ability to classify cardiac risk are: waist-hip ratio (WHR), conicity index
(CI), weight, body mass index (BMI), waist circumference (AC), waist
circumference (WC) and waist-to-height ratio (WHtR)(7-10). Howev=
er,
it remains unclear which anthropometric variable is most associated with
cardiovascular risk factors in military police.
Thus, studies that investigate the rel=
ationship
of anthropometric indicators with cardiovascular risk factors in this
population, and that take into account occupational activities and behavior=
al
habits are necessary. Therefore, the objective of the study was to evaluate=
the
association between cardiovascular risk factors and anthropometric indicato=
rs
in military police officers. It is hoped that the results can help nurses to
choose the best methods for this continuous screening.
METHOD
Cross-sectional study, with a quantita=
tive
approach, carried out in two cities in the Sertão Central Cearense, State of
Ceará, in Brazil during the months of July and August 2019. Military police
officers who effectively carry out their activities in the municipalities
selected for the study were selected, totaling 166 military police.
Police officers of both sexes, active =
in
the selected municipalities, participated in the study. The invitation to
participate in the study was made by the researchers at the professionals'
workplace, and those who agreed to participate signed the Free and Informed
Consent Form, responded to the interview and performed the physical
examination, characterizing convenience sampling. Those away from work due =
to
illness, vacation period and/or leave were excluded.
Data collection was performed using a
structured form, developed by the researchers based on the risk factors for
cardiovascular diseases in military police officers mentioned in the litera=
ture(1-2).
The variables analyzed were divided into categories, namely: sociodemograph=
ic
data (sex, age, education level, race/color, personal income and marital
status), police practice [police role (operational or administrative) and
length of practice], clinical data (presence of comorbidities and family
history of CVD), behavioral aspects [sedentary lifestyle, alcohol consumpti=
on,
smoking, regular physical activity (frequency of three to five sessions per
week, lasting 30 to 40 minutes), healthy eating (daily intake of one servin=
g of
beans, two servings of fruits and three servings of vegetables), consumptio=
n of
red meat and sleep (adequate average of 7 to 8 hours per night)].
Furthermore, questions about
cardiovascular risk factors used in the Simplified Framingham score were ad=
ded
to the form, namely: systolic blood pressure (SBP), use of antihypertensive
medication and diabetes status(11). Blood pressure was measured
using the indirect method, that is, using a Littmann Classic III® stethosco=
pe
and a Premium® aneroid sphygmomanometer. It should be noted that in this
research specific instruments were not used to verify the level of alcoholi=
sm
and smoking, these categories were evaluated based on the police officers'
self-report.
The anthropometric indicators measured
were: waist circumference (AC), conicity index (CI), waist-to-height ratio
(WHtR), waist circumference (WC), hip circumference (HC), waist-hip ratio
(WHR), weight, height and body mass index (BMI). All anthropometric
measurements were performed by the same examiner on all participants in this
study to reduce bias. The collection of physical examination data was perfo=
rmed
in a reserved room in the Battalion.
The AC was measured from the point of
greatest diameter in the abdominal region, which may or may not coincide wi=
th
the height of the navel(7). The CI was determined by measuring W=
C in
meters, body weight and height(8). To obtain the WHtR measuremen=
t,
WC (cm) was divided by the height measurement (cm)(9). WHR was
calculated using the measurement of WC between the midpoint of the last rib=
and
the iliac crest, and the HC at the level of maximum gluteal protrusion,
subsequently dividing the values obtained(10).
For weight measurement, individuals we=
re
instructed to stand, barefoot and with as little clothing as possible, we u=
sed
the Dubai Magazine® model glass digital body scale that supports up to 180 =
kg
for such measurement. To assess height, participants were instructed to be
barefoot, as upright as possible and with their backs against the two-meter
inelastic measuring tape of the Corporal® brand that was placed vertically =
on
the wall. Based on weight and height measurements, BMI was calculated using=
the
formula kg/height². The weight-postural classification followed the current
guidelines and protocols(10).
The data obtained were organized and analyzed using the Statistical Package for= the Social Sciences version 20.0, using descriptive statistical analysis (absol= ute and relative frequencies, mean, median and standard deviation). For quantitative variables, the Kolmogorov-Smirnov test was applied to verify t= he data adherence to the normal distribution. In the inferential analysis, the significance level adopted was p<0.05. The Mann-Whitney U test was used = to verify the association between risk factors and anthropometric indicators.<= o:p>
The
study complied with the formal requirements contained in national and
international regulatory standards for research with human beings, being
submitted for ethical consideration (CAAE 14715419.1.0000.5046) and approve=
d by
the Ethics and Research Committee of the Centro Universitário Católica de
Quixadá (Approval Protocol 3.372. 879).
RESULTS
107 military police participated in the
study, representing 64.4% of the intended population. It is noteworthy that=
of
the eligible population (166 military police officers), 23 were on vacation=
; 5
refused to answer the form; 4 were transferred to another company; 25 were =
in
occurrence on the day for data collection; 1 was away from work due to illn=
ess
and 1 carried out his activities in the forum.
Among
the participants, there was a predominance of men (95.3%), mixed race (72.8=
%),
married or in a stable relationship (70.1%), with an average personal income
greater than three minimum wages (76.7%) and higher education (37.4%). As f=
or
the police function, the majority performed operational activities (77.6%),=
were
soldiers (38.4%), worked in ostensible policing (42.9%) and worked 24-hour
shifts with a 72-hour break (46.7%) (Table 1).
Regarding eating habits, few said they
followed a healthy diet (24.2%), so that the consumption of beans, fruits,
vegetables and red meat was present, but not in an adequate amount. The
majority practiced physical exercise on a regular basis (81.3%), maintained
good sleep and rest (54.2%), had a family history of CVD (62.6%) and denied
smoking (97.3%) and alcohol consumption. (65.4%) (Table 1).
Table 1
Variables |
n (%) |
Gender |
|
=
Male |
102 (95,3) |
=
Female |
5 (4,7) |
Marital
status |
|
=
With
partner |
75 (70,1) |
=
Without
partner |
32 (29,9) |
Role
in the Police |
|
Operational |
83 (77,6) |
Administrative |
24 (22,4) |
Has a Family Background for CVD |
67 (62,6) |
Alcoholic |
37 (34,6) |
Non-Smoker |
104 (97,3) |
Performs Physical Activity |
87 (81,3) |
Consider your Healthy Eating |
26 (24,2) |
Adequate consumption of beans |
100 (93,4) |
Adequate fruit consumption |
76 (71,0) |
Adequate consumption of vegetables and greens |
70 (65,4) |
Red Meat Consumption |
58 (54,2) |
Preserved sleep/rest |
58 (54,2) |
Source
: The authors
The mean age was 37.17 (± 8.83) years,
with an average length of service in the corporation of 13.46 (± 10.06) yea=
rs.
Regarding comorbidities, systemic arterial hypertension was the most preval=
ent
chronic condition (14%), followed by diabetes mellitus (3.7%). The mean blo=
od
pressure values were: 125.83 mmHg for SBP and 112.00 mmHg for
DBP. As for anthropometric values, mean weight and height were found to be =
83.5
kg and 1.71 m, respectively. The mean BMI obtained was 28.4 kg/m², situated=
in
the overweight range, and the mean Framingham Simplified score was 7.2%,
considered to be of low cardiac risk (Table 2).
Table 2
Variables |
Average |
SD¹ |
Medium |
Valuep² |
Age years) |
37,17 |
8,83 |
35,0 |
0,017 |
Length of service in the military police (years)=
|
13,46 |
10,06 |
10,0 |
0,004 |
Systolic blood pressure (mmHg) |
125,83 |
11,55 |
130,0 |
0,003 |
Diastolic blood pressure (mmHg) |
112,00 |
84,63 |
80,0 |
0,005 |
Weight (Kg) |
83,5 |
11,93 |
82,0 |
0,196 |
height (m) |
1,71 |
0,06 |
1,70 |
0,006 |
CC (cm) |
93,9 |
9,85 |
91,0 |
0,000 |
QC (cm) |
105,2 |
6,58 |
105,0 |
0,014 |
AC (cm) |
97,6 |
10,19 |
95,0 |
0,000 |
BMI (Kg/m²) |
28,4 |
3,72 |
27,8 |
0,153 |
WHR |
0,8 |
0,11 |
0,8 |
0,000 |
WHtR |
0,5 |
0,06 |
0,5 |
0,002 |
CI |
1,2 |
0,06 |
1,2 |
0,000 |
Simplified Framingham Score (%) |
7,2 |
6,01 |
5,5 |
0,000 |
¹SD: Standard Deviation. WC: waist circumference;
HC: hip circumference; AC: abdominal circumference; BMI: body mass index; W=
HR:
waist-hip ratio; WHtR: waist-to-height ratio; CI: conicity index;
²Kolmogorov-Smirnov test.
Source: The authors.
From the
inferential analysis, it can be seen that the cardiovascular risk factors t=
hat
showed association and statistical significance with the anthropometric
indicators were systemic arterial hypertension and diabetes mellitus. It is
important to emphasize that the CI and WHR showed a statistically significa=
nt
association with four cardiac risk factors (Table 3).
Table 3 – =
Inferential
analysis between cardiovascular risk factors and anthropometric indicators.
Quixadá-CE, Brazil, 2019.
Variables |
Gender |
Sedentary lifestyle |
Alcoholism |
Family history |
HAS |
DM |
Role in the Police |
Weight (Kg) |
0,04 |
0,78 |
0,69 |
0,06 |
0,00 |
0,14 |
0,21 |
CC (cm) |
0,33 |
0,61 |
0,06 |
0,95 |
0,00 |
0,01 |
0,82 |
QC (cm) |
0,95 |
0,29 |
0,77 |
0,02 |
0,00 |
0,15 |
0,26 |
AC (cm) |
0,53 |
0,36 |
0,08 |
0,96 |
0,00 |
0,04 |
0,31 |
BMI (Kg/m²) |
0,35 |
0,28 |
0,88 |
0,36 |
0,00 |
0,06 |
0,46 |
WHR |
0,13 |
0,20 |
0,00 |
0,04 |
0,00 |
0,00 |
0,25 |
WHtR |
0,99 |
0,26 |
0,16 |
0,49 |
0,00 |
0,01 |
0,43 |
CI |
0,95 |
0,11 |
0,01 |
0,05 |
0,00 |
0,00 |
0,04 |
Simplified Framingham Score (%) |
0,64 |
0,11 |
0,28 |
0,14 |
0,00 |
0,00 |
0,71 |
WC: waist circumference; HC: hip
circumference; AC: abdominal circumference; BMI: body mass index; WHR:
waist-hip ratio; WHtR: waist-to-height ratio; CI: conicity in=
dex.
Source:
The authors.
DISCUSSION
Despite the proposed
cut, the sociodemographic characteristics of the studied sample are similar=
to
national studies, especially regarding gender, age, race, marital status, l=
evel
of education and personal income(12-13). In addition, the length=
of
service in the police is associated with cardiovascular risk and metabolic
syndrome, with the worst percentage of body fat in police officers with more
than 10 years in the profession(13).
In the present inve=
stigation,
most of the participants worked in the operational area. The literature poi=
nts
out that military police officers who work in this area tend to have lower
levels of physical activity, due to the workday, family commitments, and la=
ck
of energy at the end of the police shift(14). Sedentary lifestyle
and lack of leisure time are identified as risk factors for cardiovascular
diseases.
In addition to this=
, a
work schedule that implies a change in the sleep pattern can be harmful,
because according to the Brazilian Society of Cardiology, inadequate sleep
represents a cardiovascular risk factor(15). In this way, the
guidance and monitoring of these professionals inside and outside the milit=
ary
corporation to change harmful habits to health, deserves to be highlighted,
since this category constitutes a distinct group from the general populatio=
n,
due to the nature of their activities.
Among these harmful
habits that can be modified is inadequate nutrition. Among the reports
obtained, the daily consumption of beans, fruits, vegetables and red meat
stands out, but it was seen that the intake was not done properly. In this =
way,
these professionals must build strategies to improve the daily intake of
healthy foods and the adoption of a balanced diet, respecting the work cont=
ext
and the particularities of the profession, since excess weight and high
cardiovascular risk are related to inadequate food consumption. healthy(12).
Excess weight and unhealthy diet imply
changes in blood pressure, where the investigated sample was classified in
stage 3 of arterial hypertension. Given this scenario, health education
measures, adoption of a healthy lifestyle and physical activity are
recommended, jointly identifying with the individual the various obstacles =
and barriers
present in daily life and the determinants that influence self-care. In this
context, nurses' actions, such as screening for cardiovascular risk, can
contribute to improving quality of life and controlling risk factors for CV=
D,
favoring a qualified, assertive and safe care practice based on scientific
evidence(16).
In the analysis of the screening
performed, different levels of cardiovascular risk were obtained from each
measure investigated. According to the Simplified Framingham score, the par=
ticipants
had low cardiovascular risk, however, based on the individual analysis of t=
he
anthropometric indicators, this risk increased, as shown by the data on wei=
ght,
BMI, WC and WHtR. evaluated the body composition of military police officer=
s,
having observed a prevalence of overweight and obesity(7,17).
As
for WC, an average of 97.6 cm was obtained, classifying them as medium
cardiovascular risk. Other studies also found a predominance of increased A=
C in
military police officers, which deserves attention, given that visceral fat=
can
increase the risk for heart disease and other comorbidities(12,18).
Regarding the WHtR, an average of 0.50 was observed in the investigated
population, presenting an average risk for CVD. This data is worrying,
considering that this anthropometric indicator is associated with different
cardiovascular risk factors, a fact that can compromise police activity, wh=
ich
requires health and excellent physical shape(9,19).
According
to the assessment of the CI, the risk for cardiovascular events can be
considered low (normal), being the only anthropometric indicator that was
associated with the variable role in the police, and can be used to screen =
for
cardiovascular risk in military police. It is noteworthy that the CI is an
important indicator of cardiovascular risk because it considers the total b=
ody
mass. Such an anthropometric parameter can be easily applied in the assessm=
ent
of the individual, especially by the professional nurse in the family health
strategy in primary health care for the longitudinal follow-up of people at
medium or high risk for cardiovascular diseases, helping in the prognosis a=
nd
preventive measures for these diseases. diseases(20).
From the analysis of cardiovascular ri=
sk
factors present in military police, it is recommended that institutional pu=
blic
policies for coping be implemented in these services, such as food interven=
tion
programs, stress control and adequate sleep/rest, with the objective of
reducing health problems caused by the lifestyle of the military police. It=
is
noteworthy that part of the risk factors mentioned in this study are
environmental and behavioral, subject to modification.
New
studies on the subject are expected, especially with the inclusion of
interventions that develop a greater connection between primary care nurses=
and
military police, in addition to strategies to strengthen self-care, in orde=
r to
understand the difficulties of preventing cardiovascular risk.
CONCLUSION
Anthropometric
indicators, especially the conicity index and waist-hip ratio, were associa=
ted
with a greater number of cardiovascular risk factors. However, weight, waist
circumference, hip circumference, abdominal circumference, body mass index =
and
waist-to-height ratio can also be used to track cardiac risk factors in
military police. In this sense, it is recommended the use of these indicato=
rs
for the screening and monitoring of this public.
Among
the limitations of the study, the unavailability or lack of time cited by s=
ome
military police stood out, since the form was applied in the work environme=
nt.
In addition, research with more representative samples, with a longitudinal
cut, use of laboratory tests and in other regions of Brazil are necessary to
understand cardiovascular risk factors in military police and their associa=
tion
with anthropometric indicators.
REFERENCES
1.
Marinho MT, Souza MBCA, Santos MMA, Cruz MAA, Barroso BIL. Stress generating factors among military police
officers: a systematic review. REFACS (online), 2018; 6(Supl. 2):637-48. doi:
10.18554/refacs.v6i0.3132
2. Escócio EMS, Aguiar AP, Silva AL,
Canto TG, Pereira PMP, Silva CDL. Perfil Clínico e Fatores de Risco
Cardiovasculares em Policiais Militares do município de Santarém, Oeste do
Pará. Research, Society and Development,
2020; 9(8): e517985737-e517985737. doi: http:=
//dx.doi.org/10.33448/rsd-v9i8.5737
3.
Silva GO, Andrade-Lima A, Germano-Soares AH, Lima-Júnior D, Rodrigues SLC,
Ritti-Dias RM, et al. Factors Associ=
ated
with Quality of Life in Patients with Systemic Arterial Hypertension. Inter=
national
Journal of Cardiovascular Sciences, 2020; 33(2):133-42. doi:
10.5935/2359-4802.20190092
4. Mendez RDR, Santos MA, Wysocki AD, Ribeiro BDAB,
Stauffer LF, Duarte SJH. Cardiovascular risk stratification among hypertens=
ive
patients: the influence of risk factors. Rev Bras Enferm., 2018; 71(4):1985-91.
doi: http://dx.doi.org/10.1590/0034-7167-2017-0528
5.
Delgado CH, Olano MOV, Rocha-Nieto LM. El rompecabezas de la adherencia al
tratamiento. La mirada de los actores: pacientes, familias–cuidadores y equ=
ipo
de salud. Enferm Cardiol., 2019; 26(78):57-68. Available from:
https://www.enfermeriaencardiologia.com/wp-content/uploads/Enferm-Cardiol.-=
2019-26-78-AO_5.pdf
6.
Loureiro NSL, Amaral TLM, Amaral CA, Monteiro GTR, Vasconcellos MTL, Bortol=
ini
MJS. Relationship between anthropometric indicators and
risk factors for cardiovascular disease in adults and older adults of Rio
Branco, Acre. Rev
Saude Publica., 2020; 54(24):1-13. doi: https://doi.org/10.11606/s=
1518-8787.2020054001088  =
;
7.
Silva OLP, Lima DG, Freitas AG, Imada KS, Pereira RS, Silva RPM.
8. Ribeiro IC, Calafange SM, Oliveira
TLPS, Andrade MIS, Orange LG, Lima CR. Correlação entre o Índice de Conicid=
ade
e Indicadores Antropométricos de risco cardiovascular: um estudo com
praticantes e não-praticantes de exercício físico. Brazilian Journal of
Development, 2020: 6(3):13616-1362=
9.
doi: 10.34117/bjdv6n3-285
10. Nascimento KP, Pinheiro AB, Almei=
da
FER, Marcolino HHS, Gomes RKG, Freitas CHA, Maniva SJCF. Índice de Conicida=
de e
Relação Cintura-Quadril na Avaliação do Risco Cardiovascular em Idosos. Rev=
ista
Enfermagem Atual In Derme, 2019; 90(20):1-7. Available f=
rom:
https://www.revistaenfermagematual.co=
m/index.php/revista/article/view/540
11. Ghehj C, Gabillard D, Moh R, Badie A, Kouamé G=
M,
Oouttara E, et al. High correlation between Framingham equations with BMI a=
nd
with lipids to estimate cardiovascular risks score at baseline in HIV infec=
ted
adults in the Temprano trial, ANRS 12136 in Côte d’Ivoire. PLoS ONE, 2017;
12(6):1-16. doi: https://doi.org/10.1371/journal.pone.0177440
13. Soares
AB, Oliveira ML, Silva EAM, Caldas IFR, Araújo PX. Síndrome Metabólica e Ri=
sco
Cardiovascular em Policiais Militares de Missões Especiais. Brazilian Journ=
al
of Development, 2021; 7(9): 91942-91959. Available from: https://www.brazilianjournals.com/index.php/BRJD/arti=
cle/view/36338/pdf
14.
Abreu BC, Abreu GC, Sampaio VAF, Rodrigues P. As Barreiras Percebidas para a
Prática de Atividade Física no Lazer entre Policiais Militares. Rev SFM, 20=
18; 6(2):6-17.
Available from: https://revista.uniabeu.edu.br/index.php/SFM/article/view/3=
579/2446
17. Venâncio
PEM, Silva DL, Castro JPD, Melo LLS, David TAP, Junior JT, Teixeira CGO. Ri=
scos
Cardiovasculares, Aptidão Física dos Policiais Militares de Anápolis. Revis=
ta
Eletrônica Acervo Científico, 2021; 6:e6100:1-7. doi: https://doi.org/10.25=
248/reac.e6100.2021
18.
Silva FLC, Monteiro PC, Borges MAO, Lima BLP, Lima VP. Correlação entre as Medidas A=
ntropométricas
e Aptidão Cardiorrespiratória em Militares do sexo Masculino. RBPFE=
X, 2019; 13(83):514-22. Availa=
ble
from: http://www.rbpfex.com.br/index.php/rbpfex/article/view/1710
19. Oliveira LCS, Oliveira Filho RL,
Bradim MRR. Indicadores Antropométricos de Obesidade na Avaliação do Risco
Cardiovascular em Policiais Militares. Revinter, 2017; 10(3):71-85. doi:
http://dx.doi.org/10.22280/revintervol10ed3.303
20. Sousa NC, Marques FRDM, Pires GAR, Scardoel=
li
MGC, Rêgo AS, Radovanovic CAT, Salci MA. Índice de conicidade em pessoas com
hipertensão arterial acompanhadas pela Estratégia de Saúde da Família. Rev.
Bras Enferm., 2020; 73(5):e20190484. doi:
http//dx.doi.org/10.1590/0034-7167-2019-0484
Submission: 2022-01-04
Approval: 2022-02-04
= =