ORIGINAL ARTICLE
REVISTA DE LA FACULTAD DE MEDICINA HUMANA 2023 - Universidad Ricardo Palma
1 Programa de Nutrición y Dietética. Grupo de investigación alimentación y comportamiento Humano. Universidad
Metropolitana. Barranquilla- Colombia.
2 Universidad Metropolitana, Departamento de Investigación. Universidad Libre, Facultad de Ingeniería.
3 Institución prestadora de salud: Cuidado seguro en casa. Barranquilla.
4 Programa de Atención Integral a la Primera Infancia. Barranquilla.
a Nutritionist - dietician. Mg. in administration with emphasis in research.
b Industrial Engineer. Mg. in Applied Statistics.
c Nutritionist-dietician.
d Nutritionist - dietician. Master student of Education
ABSTRACT
Objective: To analyze the lifestyles and diet related to nutritional status and the risk of DM2 and in female students of two
Colombian universities.
Methods: A descriptive, cross-sectional, multidimensional and exploratory study, carried out in a sample of 220 women,
nutrition and dietetic (NaD) students selected by random medsampling of proportions.[1]. A questionnaire was applied to
identify sociodemographic variables, lifestyles related to food and DM2 risk according to the FINDRISC test; BMI, waist
circumference (WC), fat percentage, and active body substance index (IAKS) were determined. Bivariate analysis was performed
using Statgraphics v.16, the chi2 test was applied with 95% confidence and statistical significance (p < 0.05).
Results: Overweight and obesity according to BMI (21.4%) showed statistical significance with the frequency of consumption of
sugary drinks, packaged products, sugars and sweets, fast foods and alcoholic beverages; These two eating practices were
related to very high cardiovascular risk by waist circumference and excessive fat percentage, which also presented significance
with excessive screen time; the IAKS was related to the classification of physical activity. According to the FINDRISC test,
91% had DM2 risk factors; 20.5% presented medium risk and 2.3% high.
Conclusions: Lifestyle and diet were related to anthropometric indicators: body weight, fat distribution, and body composition;
are risk factors for the development of DM2 in young women. It is necessary to promote protective factors to maintain a healthy
weight.
RESUMEN
Objetivo: Analizar los estilos de vida y alimentación relacionados con el estado nutricional y el riesgo de DM2 y en mujeres
estudiantes de dos universidades colombianas.
Métodos: estudio de tipo descriptivo, transversal, multidimensional y exploratorio, realizado en una muestra fue de 220
mujeres, estudiantes de nutrición y dietética (NyD) seleccionadas por muestreo aleatorio de proporciones. Se aplicó un
cuestionario para identificar variables sociodemográficas, estilos de vida relacionados con alimentación y el riesgo DM2 según
test FINDRISC; se determinó el IMC, perímetro de cintura (PC), porcentaje de grasa e índice de sustancia corporal activa
(IAKS). Se realizó análisis bivariado, utilizando Statgraphics v.16, se aplicó la prueba chi2 con 95% de confianza y
significancia estadística (p < 0,05).
Resultados: El sobrepeso y obesidad según IMC (21,4%) mostró significancia estadística con la frecuencia de consumo de bebidas
azucaradas, productos de paquete, azúcares y dulces, comidas rápidas y bebidas alcohólicas; estas dos prácticas alimentarias
se relacionaron con el riesgo cardiovascular muy alto por PC y con el porcentaje de grasa excesivo que además presentó
significancia con el tiempo excesivo en pantallas; el IAKS se relacionó con la clasificación de la actividad física (AF).
Según la prueba de FINDRISC, el 91% presentaron factores de riesgo de DM2; el 20,5% presentó riesgo medio y el 2,3% alto.
Conclusiones: Los estilos de vida y alimentación se relacionaron con indicadores antropométricos: el peso corporal, la
distribución de la grasa y la composición corporal; son factores de riesgo para el desarrollo de DM2 en mujeres jóvenes. Es
necesario promover factores protectores para mantener un peso saludable.
College students represent a group of young adults who are exposed to a number of changes in their environment as they enter college, a crucial period for the development of lifestyles and their future health (1). a crucial period for the development of lifestyles and their future health (2). The university context is characterized by new relationships, independence, and self-determination, especially in migrant students, added to the dedication to academic activities, which configure a lifestyle characterized by sedentary lifestyles derived from screen exposure time, permanence in classrooms, insufficient physical activity(PA) practice, irregular eating schedules and preference for ready meals or fast food (3).
Lifestyle constitutes a general way of life, based on the interaction of living conditions and individual patterns of behavior related to health, influenced by socio-cultural factors; values, norms, attitudes, habits and behaviors that cover all areas of human beings (4).
The lifestyles and eating habits of young students determined by the university environment and the dynamics of their academic responsibilities generate unhealthy practices that can cause alterations in their health and nutritional status characterized by the presence of overweight and obesity, greater presence of visceral fat and excessive percentage of body fat (3). Nutrition and dietetics (N&D) students have as a protective factor the knowledge acquired in their training process; however, they are exposed to environmental factors that put them at risk of presenting in the short and medium term chronic noncommunicable diseases such as DM2 (5).
This research aimed to analyze lifestyles and diet related to nutritional status and risk of DM2 in young students of the N&D career in two Colombian universities. It could be useful to implement measures to control risk factors, prevent the development of DM2 and its complications from the early stages of adult life in health professionals.
Design and study area
The study is of the type descriptive, cross-sectional, multidimensional and exploratory , with a quantitative approach.
Population and sample
The population consisted of female students enrolled in the N&D program at Colombian higher education institutions: the
Universidad de Antioquia (U1) located in the city of Medellin and the Universidad Metropolitana (U2) in Barranquilla; the
study was conducted according to an agreement of academic cooperation and interest in the welfare of their future
professionals. Men did not participate because they represent a low proportion among the students.
The proportion random sampling technique was used, with a maximum permissible error of 3.9% and a reliability level of 95%, with parameters P=Q=0.5. The sample size was 220 students, female: 106 from U1 and 114 from U2 ; the participating students were selected by simple random sampling. The inclusion criteria were: to be women over 18 years of age, to be omnivorous and to be enrolled at the time of the study. Students who were pregnant, breastfeeding, with cancer, autoimmune or metabolic diseases (DM), vegans or high-performance athletes were excluded.
Variables
The sociodemographic variables studied were age, social stratum, university of origin and semester attended at the time of the
study.
Lifestyle and dietary variables: practice and classification of PA and time dedicated to screen-based activities, frequency of consumption of fruits, vegetables, sugars and sweets; sodas or sweetened soft drinks, snacks, packaged products, fried foods, fast foods and alcoholic beverages.
Nutritional status was determined with BMI, WC, fat percentage classification and active body substance index (ABSI).
The FINDRISC (6-8) which measures the overall risk of presenting DM2 in 10 years, assigning scores to the variables age, BMI, WC as an indicator of cardiovascular risk, PA practice, daily fruit and vegetable consumption (FV), family history of DM2, consumption of drugs for arterial hypertension, and history of hyperglycemia.
Procedures and instruments
A questionnaire was designed in google docs® to be self-completed by the participants; this included the FINDRISC test, which
has been validated for Colombia.(9)The lifestyle and dietary variables included in the Food and Nutrition Situation Survey for
Colombia were also incorporated into the questionnaire.(10) These instruments have been validated.
Anthropometric measurements were taken by nutritionists trained in the ISAK technique.(11) The weight (in kg) was measured with a SECA 813 digital scale, the height (in cm) was measured with a SECA 206 stadiometer, the BMI was calculated (weight in kg/height in m2) and classified according to the WHO cut-off points adopted by the Colombian Ministry of Health: thin (< 18.5), adequate (18.5 - 24.9), overweight (25.5), underweight (25.5), overweight (25.5) and obese (25.5).(12) BMI was calculated as: underweight (< 18.5), adequate (18.5 - 24.9), overweight (25.0 - 29.9) and obese (≥30).
Waist circumference was measured with a Lufkin tape measure at the midpoint between the last rib and the iliac crest; a measurement greater than or equal to 80 cm was defined as abdominal obesity for women. (12).
The percentage of fat was obtained by body density with the measurement of the subcutaneous folds of the biceps, triceps, subscapular and ileocrestal folds measured with a Slim Guide adipometer, using the formula of Durnin and Womersley, to calculate the percentage of fat=(4.95/D-4.5) *100. D in g/cm3= c- (m x log sum folds), c and m vary according to age and sex. (13,14).
The IAKS was calculated using Tittel and Wutscherk's formula: IAKS= kg ACMx 1000 x 100/ T³(cm) This index is expressed in g/cm³; its relative value presents a standardized view of the amount of lean tissue in a given volume of body mass and was classified as: poor, fair or high.(15)
Once the FINDRISC test scores were summed, the risk of DM2 was determined and classified into the following categories: No Risk: 0 points, low risk: 1 to 7, medium risk: 7-12 and high risk more than 12, according to the FINDRISC study, this cut-off point is interpreted as a high probability of having DM2 or another glucose regulation abnormality.(9).
Statistical analysis
The information was systematized in Windows Office and Excel tools. The results were presented in bivariate tables with
relative and absolute frequencies; to identify the statistical association, the chi-squared test was applied with a confidence
level of 95%. Statgraphics software version 16 was used and statistical significance was determined with p values <0.05.
Ethical aspects
This study complies with the ethical standards of the Declaration of Helsinki; it was classified without risk, according to
Resolution 008430 of 1993 of the Colombian Ministry of Health. It was approved by the ethics committee of the study
universities and the participants signed an informed consent form.
A total of 220 women participated in the study, 106 (48.0%) from U1 and 114 (52.0%) from U2, aged between 18 and 29 years, the mean was 21.7± 2.5 years; 54.3% of them lived in the middle socioeconomic stratum, followed by 42.5% in the low socioeconomic stratum. Eighty-five percent were in their fifth to ninth semester at the time of the study.
Mean BMI was 22.7+2.6 (14- 39); PC was on average 71.2+7.2 (57- 105); fat percentage was 29.3+4.4 (14- 41) and mean IAKS was 1.0+0.1 (0.7- 1.5).
According to the FINDRISC test, 91% of participants presented risk factors for DM2; there was no statistically significant difference in overall risk of developing DM2 by university (p>0.05). The mean total score was 4.1+2.9 and the DM2 risk classification was 68.2% low risk, 20.5% medium risk and 2.3% high risk.
According to the FINDRISC test, a family history of first and second degree with a diagnosis of DM1 or DM2, no daily consumption of VF, lack of daily PA practice for at least 30 minutes and excess weight (BMI>25) contributed more to the risk of DM2 (p<0.05).
Table 1 shows the relationship of the risk factors for DM2 according to the FINDRISC test, by university.
Table 1. Risk factors for DM2 according to the FINDRISC test in Nutrition and Dietetics students from two Colombian universities.
Variable |
Risk by variable score |
Risk of DM2 according to FINDRISC test variables. |
|||||||
---|---|---|---|---|---|---|---|---|---|
DM2 risk Total population |
Risk of DM2 U1 |
Risk of DM2 U2 |
Chi2 |
p-value |
|||||
N |
% |
N |
% |
N |
% |
||||
Daily consumption of fruits and vegetables |
Yes |
114 |
51,8% |
47 |
44,3% |
67 |
58,8% |
4,56 |
0,030 |
No |
114 |
51,8% |
47 |
44,3% |
67 |
58,8% |
|||
Physical activity |
Yes |
118 |
53,6% |
53 |
50,0% |
65 |
57,0% |
0,82 |
0,360 |
No |
102 |
46,4% |
53 |
50,0% |
49 |
43,0% |
|||
Family history of DM |
Yes |
115 |
52,3% |
54 |
50,9% |
61 |
53,5% |
0,06 |
0,800 |
No |
105 |
47,7% |
52 |
49,1% |
53 |
46,5% |
|||
Body Mass Index |
Yes |
47 |
21,4% |
14 |
13,2% |
33 |
28,9% |
8,06 |
0 |
No |
173 |
78,6% |
92 |
86,8% |
81 |
71,1% |
|||
Waist circumference |
Yes |
33 |
15,0% |
7 |
6,6% |
15 |
13,2% |
2,6 |
0,100 |
No |
198 |
90,0% |
99 |
93,4% |
99 |
86,8% |
|||
Consumption of medications for hypertension |
Yes |
11 |
5,0% |
2 |
1,9% |
9 |
7,9% |
4,1 |
0,040 |
No |
209 |
95,0% |
104 |
98,1% |
105 |
92,1% |
|||
Personal history of hyperglycemia |
Yes |
7 |
3,2% |
2 |
1,9% |
5 |
4,4% |
1,1 |
0,290 |
No |
213 |
96,8% |
104 |
98,1% |
109 |
95,6% |
|||
Total |
Yes |
200 |
90,9% |
95 |
89,6% |
105 |
92,1% |
0,69 |
0,400 |
No |
20 |
9,1% |
11 |
10,4% |
9 |
7,9% |
corresponds to scores of zero for the answers of each variable of the Findrisc test, age is not included in the table
since 100% of the population was under 45 years of age.
Table 2 presents the lifestyle and dietary variables and their relationship with nutritional status indicators such as BMI, WC, fat percentage and IAKS. In this investigation, excess weight according to BMI showed statistical significance with the risk of DM2 (p<0.001) and was related to the consumption of sugars and sweets, sodas or sugary soft drinks, fast foods and snacks.
Table 2. Risk factors for DM2 according to the FINDRISC test in Nutrition and Dietetics students from two Colombian universities.
Variable - Categories |
Frequency (%) |
p-value |
|||
---|---|---|---|---|---|
Body Mass Index |
Waist circumference |
Percentage of fat |
Active body substance index |
||
Physical Activity Classification |
|||||
Sedentary |
109 (50%) |
0,155 |
0,982 |
0,077 |
0,043 |
Slight |
77 (35%) |
||||
Moderate/Active |
34 (15%) |
||||
Screen Time |
|||||
< 3 hours |
100 (45%) |
0,612 |
0,875 |
0,006 |
0,670 |
4-6 hours |
78 (35%) |
||||
7-9 hours |
32 (15%) |
||||
> 9 hours |
10 (5%) |
||||
Fruit consumption |
|||||
Never |
5 (2%) |
0,206 |
0,602 |
0,276 |
0,002 |
Fortnightly |
14 (6%) |
||||
Weekly |
74 (34%) |
||||
Diary |
127 (58%) |
||||
Consumption of vegetables |
|||||
Never |
5 (2%) |
0,678 |
0,549 |
0,169 |
0,549 |
Fortnightly |
9 (4%) |
||||
Weekly |
60 (28%) |
||||
Diary |
146 (66%) |
||||
Consumption of sugars and sweets |
|||||
Never |
38 (17%) |
0,001 |
0,206 |
0,103 |
0,326 |
Fortnightly |
30 (14%) |
||||
Weekly |
77 (35%) |
||||
Diary |
75 (34%) |
||||
Consumption of Soda or Sweetened Soft Drinks |
|||||
Never |
138 (63%) |
0,001 |
0,242 |
0,266 |
0,026 |
Fortnightly |
38 (17%) |
||||
Weekly |
36 (16%) |
||||
Diary |
8 (4%) |
||||
Consumption of snacks (packaged products) |
|||||
Never |
101 (46%) |
0,027 |
0,334 |
0,336 |
0,051 |
Fortnightly |
37 (17%) |
||||
Weekly |
70 (32%) |
||||
Diary |
12 (5%) |
||||
Consumption of fried products |
|||||
Never |
59 (27%) |
0,402 |
0,661 |
0,54 |
0,145 |
Fortnightly |
64 (29%) |
||||
Weekly |
79 (36%) |
||||
Diary |
18 (8%) |
||||
Fast food consumption |
|||||
Never |
97 (44%) |
0,013 |
p<0,001 |
<0,001 |
0,019 |
Occasional |
1 (0,5%) |
||||
Fortnightly |
64 (29%) |
||||
Weekly |
57 (26%) |
||||
Diary |
1 (0,5%) |
||||
Consumption of alcoholic beverages |
|||||
Never |
169 (76,8%) |
0,001 |
0,001 |
0,008 |
0,013 |
Fortnightly |
36 (16,4%) |
||||
Weekly |
13 (5,9%) |
||||
Diary |
2 (0,9%) |
CP, an indicator of visceral fat accumulation and impaired glucose metabolism, was identified as a risk factor in 10% in this study.(16)was identified as a risk factor in 10% in this study, and was related to the consumption of fast food and alcoholic beverages, without showing statistical significance with the risk of DM2 (p=0.50).
Studies such as the one conducted by Medina C et al.(17) have evidenced that N&D students engage in unhealthy practices that trigger excess weight, added to family history of diseases such as DM2; despite having knowledge about healthy lifestyles and nutrition for the prevention of chronic diseases. However, Solera-Sánchez and Gamero-Lluna(18) argue that health sciences students have healthier habits compared to those trained in other disciplines, and Flórez-Escobar et al.(1) found that N&D students in Colombia carry out healthy practices for the different dimensions of lifestyle, except for PA.
This study identified the presence of one or more risk factors for the development of DM2, with a lower level of risk than the findings of Al-Shudifat AE et al.(19) in Jordanian university women with 5.2% at moderate or high risk and slightly elevated 26.7% according to the FINDRISC test, a finding similar to the study by Aris A et al.(20)The study found 5.9% of Malaysian youths at high risk and 23.8% at moderate risk; Algadheeb et al.(21) found 1.2% medical students in India at high risk and 55% at medium risk; similar to 1.5% and 12.0% at medium or high risk found by Nnamudi et al. in young Nigerians(22).
The statistically significant relationship between a history of first- and second-degree relatives with a diagnosis of DM1 or DM2 and the risk of developing the disease was similar to that observed by Pertseva N et al. (23) in 37.0% of the Ukrainian population and in 72% in Jordanian women reported by Al-Shudifat AE et al. (19).
Overweight and obesity according to BMI, one of the main risk factors for DM2, coincides with the presence of excess weight in women between 18 and 64 years of age reported in the last National Survey of Food and Nutrition Situation in Colombia, obesity 22.4% and overweight 37.2%.(10) lower figures than in this study were found by Al-Shudifat AE et al.(19) in Jordan (14.6%), similar figures were observed by Tokaç E et al.(21.0%) in Ankara and higher prevalences were identified by Ruano et al.(5) in Ecuador (25.5%), Tran DM (4) in the USA (56.4%), Antwi J et al. (24) (36.4%), Pineda K et al. (25)(25.88%), which requires an in-depth study of the risk factors in each context and the health knowledge of young people.
The prevalence of excess weight according to BMI and its statistical significance with the risk of DM2, is similar to that observed by Pertseva et al.(23) Pineda(25) identified association of excess weight in students with fast food consumption, no daily consumption of VF, alcohol intake and insufficient time dedicated to PA. The relationship of alcohol consumption with overweight coincides with other studies in university students: Parra-Soto et al.(26) in Latin Americans, Booranasuksakul U et al.(27) in Thais and Pertseva et al.(23) in Ukrainians (72.8%).
Regarding WC, other studies have found a higher prevalence and statistical significance of WC greater than 80 cm: 28.4% in Jordan, and 37.1% in Ukrainian students.(19)and 37.1% in Ukrainian students (23)Antwi, J et al.(24) identified a WC of 81.1+15.8.
The lack of PA practice in this study was higher than in Jordanian youths (44.6%)(19) although it was not related to excess weight, intensity showed statistical significance with IAKS; different studies have evidenced sedentary lifestyle as one of the determinants of overweight and obesity in young people; Legetic B et al.(28) affirms that the risk of DM2 is reduced with the practice of PA due to its effect on the maintenance of body weight and reduction of adiposity; Zheng Y.(29) found beneficial effect of exercise related to insulin sensitivity, glycemic control and the relation with excess weight (p<0.050)(26) Flórez-Escobar et al.(1) identified that Colombian N&D students, despite having healthy lifestyles, do not practice PA; Kobayashi S et al.(30) observed that 67.3% of Japanese N&D students practice mild PA; likewise, 51.4% of Ukrainian youth do not practice PA daily.(23).
In our study, the absence of daily VF consumption was found to be higher than that observed in students from Jordan (42.4%)(19) and Ukraine (40%)(23)The low VF intake is a modifiable factor for DM2 risk, although it is not considered as a predictive indicator of DM2, according to Durán et al.(31)according to Durán et al.(32) fiber has a protective effect for the development of DM2, making it useful for defining diet-related prevention actions.
Unhealthy dietary practices related to changes in weight and body composition are frequent in young university students; this was recorded by Maza et al.(33) in a review of the literature; in Peru, consumption of these products increased from 13.3% in first-year medical students to 18.7% in the sixth year of medical school.(34). In young Colombian N&D students, daily consumption of snacks and soft drinks was found in 10.0%, of packaged products 2 to 3 times per week in 29.0% and 26.0% for soft drinks.(35) and Flórez et al. showed 61.2% of occasional consumption of fast foods, fried foods, or sweets and 58% of sodas or sugary drinks. In Ukrainian students the daily consumption of fast foods was 2.1%, once a week 35.0% and 62.9% consumed less frequently.(23).
The results of this study reaffirm the evidence of risk factors and protective factors for the development of DM2 in NYD students, despite the fact that the percentage of high risk is lower than that found in young people from other disciplines and older population, it reaffirms the relationship of lifestyles and diet with excess weight and the risk of developing DM2.
Limitations
The food consumption frequency study was qualitative and self-reported.
The nutritional knowledge and age of the population participating in this study are protective factors for lifestyles and diet, a situation that is evidenced by the higher frequency of students with low risk and some without risk of developing DM2; however, they are not sufficient for its prevention, and the presence of risk factors related to overweight and obesity according to BMI, the percentage of excess fat and cardiovascular risk according to waist circumference was observed.
The intake of snacks, sweets and sugars, soft drinks and fast food showed statistical significance with body weight according to BMI and abdominal obesity. Higher frequency of alcoholic beverage consumption was related to higher waist circumference and lower frequency to higher IAKS.
The early identification of the risk of DM2 in the young population is relevant for its prevention; it allows the study and intervention of the determinants of the university environment for the promotion of healthy lifestyles and nutrition.
To the Escuela de Nutrición y Dietética of the Universidad de Antioquia for coordinating the study.
Authorship contributions:
The authors participated in the genesis of the idea, project design, development, data collection and interpretation,
analysis of results, and preparation of the manuscript.
Financing:
The article was self-financed by the Universidad Metropolitana, with resources from the project Changes in nutritional
status, lifestyles and eating habits in nutrition and dietetics students in Colombia, approved by administrative act
071 of 2016.
Declaration of conflict of interest:
The authors declare that they have no conflict of interest in the publication of this article.
Recevied:
July 17, 2023
Approved:
August 25, 2023
Correspondence author:
Mylene Rodríguez Leyton
Address:
Calle 76 - 42-78. Barranquilla. Colombia.
Phone:
+57 3137971655
E-mail:
myrodriguez@unimetro.edu.co; mylenerod@gmail.com
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