The incidence of cardiovascular disease increases every day and currently accounts for nearly 60% of deaths worldwide.¹ This situation may be aggravated by risk factors such as overweight and sedentary lifestyles.²

Overweight and obesity rates in Latin American countries are on the rise and have become a public health problem since the treatment of related comorbidities represents a high economic burden.^3,4 One of the most frequently used measure to assess body composition is body mass index (BMI), which associates weight with height; overweight is defined as a BMI of 25.0-29.9 kg/m², while obesity is defined as a BMI >30.0 kg/m².^5,6

The 2010 Encuesta Nacional de la Situación Nutricíonal en Colombia (National Survey of the Nutritional Situation in Colombia) (ENSIN)⁷ reported that the number of overweight adults increased from 45.9% to 51.2% between 2005 and 2010. The same survey showed that in the Atlantic region of Colombia, and especially in Barranquilla, there is a growing trend in overweight and obesity rates: 54.5% of adults between 18 and 64 years of age suffer from one of those conditions. ⁷ These data reveal a public health problem and are evidence of the need to address it.

Cardiorespiratory fitness (CRF) is an important indicator for assessing health status, as it is part of the four conditional motor capacities (strength, endurance, speed, flexibility). ⁸ It allows measuring endurance during activities in which the resynthesis of adenosine triphosphate is achieved mainly through aerobic metabolism. ⁹ Its physiological marker is the maximum rate of oxygen consumption (VO₂max), which refers to the body's ability to transport and use oxygen during exercise. ¹⁰ This is an indicator that is inversely related to cardiovascular disease morbidity and mortality, ⁸ and it expresses the degree or level of physical fitness of an individual; therefore, a decrease in VO₂max may be an early marker of altered cardiovascular physiology. ¹¹

VO₂max, which is equivalent to the maximum oxygen carrying capacity from the environment to the mitochondria, ¹² is the most important parameter for quantifying the physical fitness of an individual. ¹³ Physical fitness can be estimated using direct and indirect methods that have different levels of accuracy and that may include surveys such as the International Physical Activity Questionnaire (IPAQ). In view of the above, functional capacity should be monitored through field tests, which are an affordable alternative⁸ and have been validated in different studies. ^14,15

Teachers represent a large part of the Colombian workforce, and even though this population is subject to a series of factors that deteriorate their health status, ¹³ the promotion of healthy practices in their workplaces is still not satisfactory. ¹⁶ In this regard, Romero-Pérez et al.¹⁷ state that there are negative relationships between workers' productivity and their level of sedentariness; moreover, Gómez et al.⁵ argue that the presence of uncontrolled psychosocial risks in the workplace can increase the rate of cardiovascular disease. In Bogotá, García-Castro & Muñoz-Sánchez¹⁶ have stressed the importance of understanding the relationship between the teaching practice and health and safety in the workplace given the strong impact it has on the development of society.

Due to the psychosocial factors that can trigger them, and because they not only have an impact on the personal, family and social environment but also on the working environment, cardiovascular diseases are considered as an occupational hazard for teachers. ¹⁸ This is a really concerning situation that has not been addressed adequately by any study carried out in Barranquilla. With this in mind, the aim of the present study was to determine the relationship between BMI and CRF in public school teachers in the city of Barranquilla, Colombia.

A quantitative, descriptive, correlational, cross-sectional study was carried out after being approved by the Research Ethics Committee of the Physical Therapy Program of the Universidad Simón Bolívar by means of Minutes No. 0014 of 2015. For its elaboration, the dispositions of Resolution 8430 of 1993 of the Ministry of Health of Colombia¹⁹ and the principles contained in the Declaration of Helsinki were considered.²⁰

The universe consisted of 6 464 active teachers from public schools in Barranquilla aged between 18 and 65 years. The final simple size (n=363) was determined using the StatCalc application available in the Epi Info^TM software, with a 95% confidence level and a 5% margin of error. Once the sample size was determined, population-based descriptive studies were conducted.

Sampling was done in 2 stages. First, 165 schools were divided/classified by location; then, the schools were randomly selected based on their location and the teachers were proportionally distributed (Table 1). The sample included teachers who had no physical limitations at the time of testing, no history of cardiovascular risk, were not on any type of medical treatment and reported not being under medical supervision.

Table 1

Source: Own elaboration.

Before starting the study, permission was requested from the Education Department of the District of Barranquilla and a pilot test with 15 teachers was carried out, which allowed adjusting the instruments and training the evaluators according to the requirements of the instrument to be applied. Once the teachers agreed to participate, they were asked to sign an informed consent and then to fill out the questionnaires to obtain anthropometric measurements for weight and height based on the protocols proposed by the STEPS Instrument. ²¹

Finally, the Rockport 1 mile walk test was applied to assess cardiorespiratory fitness.

Height was measured with a Kramer measuring device, while weight was established using a Tanita BC-585F FitScan Body Composition Monitor®. A protocol was implemented to evaluate CRF, in which the participants warmed up and then walked a mile (1 609m) as fast as possible. Aerobic capacity was estimated based on the variables age, sex, elapsed time at the end of the mile and heart rate at the end of the test, using the equation proposed by Kline et al. in 1987 and described by the American College of Sports Medicine in 2005: VO₂máx (mL/kg/min) = 132.85 - (0.076 x body weight) - (0.387 x age) + (6.31 x sex) - (3.264 x time) - (0.1565 x HR).²²

The data were processed and analyzed with the statistical program SPSS version 21.0 and a univariate analysis was performed to obtain absolute and relative frequencies and central tendency and dispersion measures. Subsequently, a bivariate analysis was performed to determine the normality of the variables, which were parametric; the t-Student test was used to find mean differences for independent samples by means of correlations with the Pearson coefficient. Statistically significant differences were established based on a p<0.05 value.

The mean age of the participants was 48.1±9.41 years. It should be noted that 82.3% of the participants were adults, mostly women, who lived in low-middle-income households (socioeconomic stratum 3, for detailed information of socioeconomic classification in Colombia, see Table 2), with bachelor's degrees and with more than 13 years of service in teaching (Table 3).

Table 2

Stratum	Description
1	Low-low. Beneficiaries of home utility subsidies.
2	Low. Beneficiaries of home utility subsidies.
3	Middle-low. Beneficiaries of home utility subsidies.
4	Middle. They are not beneficiaries of subsidies, nor do they pay surcharges; they pay exactly the amount that the company defines as the cost for providing home utilities.
5	Middle-high. They pay surcharges (contribution) on the value of home utilities.
6	High. They pay surcharges (contribution) on the value of home utilities.

Source: Elaboration based on the data by National Administrative Department of Statistics. ²³

Table 3

		Sample			Male		Female
Variables		n = 363			n = 101		n=262
		Frequency	%	Frequency	%	Frequency	%
	Youth	13	3.5	4	3.9	9	3.4
Age	Adulthood	299	82.3	90	89.1	209	79.7
	Old age	51	14	7	6.9	44	16.7
	1	20	5.5	5	5	15	5.7
	2	119	32.8	43	42.6	76	29
Socioeconomic	3	166	45.7	40	39.6	126	48.1
stratum	4	44	12.1	9	8.9	35	13.4
	5	8	2.2	4	4	4	1.5
	6	6	1.7	0	0	6	2.3
	High school	2	0.6	0	0	2	0.8
	Associate degree	12	3.3	1	1	11	4.2
Educational attainment	Bachelor's degree	155	42.7	53	52.5	102	38.9
	Postgraduate diploma	145	39.9	31	30.7	114	43.5
	Master's degree	46	12.7	15	14.9	31	11.8
	Doctoral degree	3	0.8	1	1	2	08
	<1 year	23	6.3	10	9.9	13	5
	1-12 years	128	35.3	39	38.6	89	34
Tenure	13-24 years	147	40.5	37	36.6	110	42
	26-36 years	34	9.4	11	10.9	23	8.8
	37-48 years	31	8.5	4	4	27	10.3

Source: Own elaboration.

The mean BMI was 27.02±4.49 kg/m² and it was higher in men; on the other hand, the mean CRF was 26.41 mL/kg/min^-1, with better values in men (30.5 mL/kg/min^-1) than in women (24.84 mL/kg/min^-1). The average time used by both men and women to perform the Rockport test was approximately 18.8 minutes (Table 4); mean weight, height and diastolic blood pressure were better in women. There was also a high prevalence of overweight and obesity among the sample, which was higher in men as well (Table 5).

Table 4

Variables		n=363			Male (n=101)	Female (n=262)
		x±a	Min.	Max.	X±a	X±a
	Age	48.1+9.4	23	65	47+8.8	48.55+9.6
Body mass index	Weight (kg)	73.4+14	39.7	128	81.6+12.8	70.3+13.1
assessment	Height (cm)	1.64+0.0	1.5	1.9	1.70+0.1	1.6+0.1
	Body mass index (kg/m2)	27.0+4.4	16.3	41.8	27.5+4.1	26.8+4.63
	Ending heart rate (beat/m)	110+15	73	165	110.4+15	111.0+15.8
Cardiorespiratory	Time (min)	18.8+2.2	13.4	25.3	18.11+2.3	19.18+2.10
fitness assessment	Cardiorespiratory fitness (mL/kg/min-1)	26.4+6.9	16.21	49.83	30.50+8.4	24.84+5.55

: mean; σ: standard deviation; Min: minimum; Max: maximum.

Table 5

Source: Own elaboration.

When applying the t-Student test, significant differences were found between men and women (p<0.05) in variables such as weight, height and CRF (Table 6). On the other hand, after applying Pearson's correlation coefficient, a negative correlation (-0.181) was found between BMI and CRF, which indicated that teachers with normal BMI tend to have better VO₂max; the strength of the correlation was almost zero (Table 7).

Table 6

Variables	t	Significance (bilateral)	Mean difference	95% confidence interval
Weight (kg)	-7.425	0.000 *	-11.384	-14.40	-8.36
Height (meters)	-14.287	0.000 *	-0.1053	-0.11	0.09
Body Mass Index (kg/m2)	-1.318	0.188	-0.6933	-1.72	0.34
Heart rate at the end of the test (beat/m)	0.298	0.766	1.844	-3.07	4.17
VO2máx (mL/kg/min)	-7.436	0.000 *	-5.667	-7.16	-4.16

* Significance level <0.05.

Table 7

Variable	Pearson's Correlation	Significance (bilateral)
Body Mass Index	-0.181	0.001 *

* Significance level <0.05.

The present research sought to determine the relationship between BMI and CRF in active teachers of public schools in Barranquilla, Colombia. It found a high prevalence of overweight and obesity and low CRF in the evaluated population, as well as a significant and negative correlation between BMI and CRF.

72.20% of the population studied were women. This aspect coincides with the study conducted by García-Castro & Muñóz-Sánchez¹⁶ in teachers from public schools in the city of Bogotá, Colombia, which suggests that the predominant presence of women in teaching activities may be explained by the fact that this is a profession with deep emotional ties.

According to their educational attainment, rank and socioeconomic stratum, most of the sample was classified in the middle-income level. In this regard, Álvarez-Castaño et al.²⁴ suggest that the probability of suffering from obesity is greater for those living in the low- or medium- class households and in families with incomes below COP 1 400 000 (about USD 400). These aspects may explain the socioeconomic gradient of overweight and obesity and the decrease in CRF, as there is an inverse relationship between these variables. ⁶ The relationship between socioeconomic level and the probability of developing these diseases is more evident in women since it has been found that overweight and obesity rates in this population decrease as the economic level increases. ⁴

The prevalences of overweight and obesity found in the present study are similar to those reported in the 2010 ENSIN⁷ and other research conducted in Latin America. For example, Bencomo et al.²⁵ reported a prevalence of overweight of 44% and obesity of 23% in university teachers, while Romero-Pérez et al.¹⁷ reported a prevalence of overweight of 40.1% and obesity of 12% in women, data that is comparable to what was obtained here for the same population (39.7% and 24%, respectively).

The presence of overweight and obesity in the participants of our study is high: 24.2% were obese and 41.3% overweight. Nationwide, these data are similar to the findings of Valencia-García et al.²⁶ in Risaralda, who reported that 62.5% of the sample was overweight and obese, particularly women (64.7%) compared to men (57.4%), but contrary to the study by Fernández-Rodríguez et al.,²⁷ in which there were no significant correlations between CRF and BMI in university students in Villavicencio, Colombia.

The percentages of normal weight and underweight teachers in this study were 33% and 1%, respectively. This agrees with the findings of Mora-García et al.²⁸ in Cartagena, Bolívar, where the prevalence of underweight was 3.3%, and by Mantilla-Morrón et al.²⁹ in Barranquilla, where the prevalence of underweight was 5.7%.

In relation to sex, the frequency of overweight and obesity was higher in men than in women (70% and 63.7%, respectively). Overweight was the most common variable in both sexes (39.7% in men and 45.5% in women), which coincides with Fortich & Gutiérrez⁴ and Rodríguez-Rodríguez et al.,³⁰ but differs from Navarro-Lechuga & Vargas-Moranth, ³¹ who reported that the prevalence of obesity was higher in women (26.80%) than in men (20.50%).

The present study is related to others that show that a better CRF is associated with a lower risk of disease and death^10,13 since there is a statistically significant relationship between the presence of overweight and obesity -which bring with them a series of associated comorbidities- and the likelihood of suffering from cardiovascular diseases.

The estimated average CRF was 26.41 mL/kg/min (standard deviation 6.9) with a minimum value of 16.21 mL/kg/min and a maximum value of 49.83 mL/kg/min, being higher in men with an average of 30.5 mL/kg/min. This coincides with the study by Ho et al.,³² which described an average of 26.8 mL/kg/min in men, but differs from the averages reported by Meseguer-Zafra et al.³³ in men (37.1 ml/kg/min) and women (31.1 ml/kg/min), and by Aranguiz et al.² (37.4 ml/kg/min and 30.4 ml/kg/min, respectively). Moreover, the average cardiorespiratory fitness in men found in the present study is much lower than that described by Sechi & García⁸ (42-49 ml/kg/min), although VO₂max was evaluated using different equations in their study.

In our study, the average CRF in women was similar to that described by Zapata-Lamana, ³⁴ who reported worse levels of cardiorespiratory fitness and higher BMI values. These data may be related to the measurement of the waist circumference and the percentage of total and localized fat mass, variables that were not considered in the present research; however, they are endogenous variables from a physiological point of view.

A statistically significant and negative relationship between BMI and CRF was found during the investigation. This is similar to what was reported by Shazia et al.,¹¹ who reported that overweight girls had decreased cardiorespiratory fitness compared to young women with normal weight. It also differs from Aranguiz et al.² who found a negative linear relationship like that of the present study where the strength of this correlation is zero.

Teachers in Barranquilla public schools currently have a low CRF that is associated with increased BMI and risk of cardiovascular disease. This situation is also influenced by family and personal medical history, which were found in 59.2% and 40.5%, respectively. In this sense, the results highlight the importance of creating public policies that allow the implementation of cardiovascular disease prevention and occupational health programs that include the practice of physical activity, thus raising awareness among the population about the undoubted benefits that these practices have for their health.

The authors acknowledge that the main limitation of this study was the access to teachers due to their multiple routine activities.

Given the high prevalence of overweight and obesity and the low CRF found among teachers in public schools from Barranquilla, there is a clear need to implement health promotion and prevention programs that include physical activity and the nutritional component to support the acquisition of healthy lifestyles.

Explanatory note: This article derives from the final work presented to obtain the Master's degree in Physical Activity and Health of the Universidad Simón Bolívar entitled Índice de masa corporal y capacidad cardiorespiratoria en docentes activos del sector oficial del distrito de Barranquilla (Body mass index and cardiorespiratory fitness in active public school teachers of the district of Barranquilla.)³⁵