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Journal of Human Growth and Development

versão impressa ISSN 0104-1282versão On-line ISSN 2175-3598

J. Hum. Growth Dev. vol.27 no.2 São Paulo maio/ago. 2017

http://dx.doi.org/10.7322/jhgd.112680 

ORIGINAL ARTICLE

 

Prevalence and factors associated with low lumbar strength in adolescents

 

 

Eliane Cristina de Andrade Gonçalves; Diego Augusto Santos Silva

Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil

Correspondence

 

 


ABSTRACT

INTRODUCTION: Low back pain is a multifactorial disorder and is one of the most common musculoskeletal discomfort in adolescents and adults.
OBJECTIVE: To determine the prevalence and factors associated with low levels of lumbar force in adolescents.
METHODS: This is a cross-sectional study involving 909 adolescents aged 14 to 19 years enrolled in public schools in São José, of Santa Catarina State - Southern Brazil. Lumbar force was analyzed by the lumbar extension test developed by a Canadian research group, which proposes different cutoffs according sex. Independent variables were sex, age, socioeconomic status, alcohol consumption, screen time, physical activity, aerobic fitness and mass body index. For data analysis, binary logistic regression was used, with significance level of 5%.
RESULTS: The prevalence of low levels of lumbar force was 45.2%, being 36.2% for boys and 53.1% for girls. The population subgroups most likely to present low levels of lumbar force were females (OR: 1,99; CI95%: 1,52 to 2,60) and those adolescents with overweight (OR: 1,48; CI95%: 1,12 to 1,96.
CONCLUSION: Almost half of the students had low levels of lumbar force. The girls, the adolescents with overweight and with excessive time in front of the screen most likely present low levels of lumbar force. The innovation of this study is modifiable factors such as the excessive time screen and overweight may be used to promote health interventions to improve levels of lumbar strength of youth.

Keywords: motor activity, physical fitness, low back pain, adolescent health, spine, pain.


 

 

INTRODUCTION

Low back pain is a multifactorial disorder, with a diagnosis that is not always specific and is one of the most common musculoskeletal discomforts in adolescents and adults1. It reached 9.4% of the world population in 20102, and for young population, studies presented variability in the estimated prevalence from 14% to 24% between 1991 and 20093. In Brazil, a systematic review revealed the prevalence of adolescents with lumbar complaints ranged from 13.1% to 19% between 2005 and 2011, respectively4.

The most frequent causes of low back pain in adolescents are usually related to the growing burden of inadequate support of school backpacks and prolonged sitting for long periods of time1. In addition, studies indicate that female and adolescents with inadequate lifestyle habits such as physical inactivity, sedentary behavior and overweight are the subgroups vulnerable to frequent low back complaints among adolescents5,6.

Surveys have shown that another possible cause of low back pain is associated with low levels of lumbar force7-9. A cohort study evaluated 215 Portuguese schoolchildren concluded that low levels of muscle strength of the trunk extensors/flexors were associated with a higher prevalence of low back pain and low flexibility of the posterior thigh muscles10. Similar results were found in another study9.

These data are worrying considering that individuals with low levels of lumbar force and frequent back pain9 are more likely to develop various disorders such as postural deviations8, musculoskeletal diseases and excess weight, leading to an increased risk of premature death11. In addition, studies on low levels of lumbar force4 are still scarce, mainly relating sociodemographic factors, economic level and lifestyle.

Thus, it is important to stand out the relevance of analyzing the prevalence of low levels of lumbar force and the possible correlated factors, in order to guide the planning of lumbar strengthening programs according to the reality found, considering that adolescents with low levels of lumbar forces present difficulties in social life and low quality of life10,12. In addition, this aggravation generates considerable public expenditures, reaching more than 86 billion dollars annually for treatment and rehabilitation13. This study is justified because it will contribute with the epidemiological knowledge of the subject. Therefore, the objective is to analyze the associated factors and estimate the prevalence of low levels of lumbar force in adolescents.

 

METHODS

This is a cross-sectional analytical study of school base, part of the macroproject "Guia Brasileiro de Avaliação da Aptidão Física Relacionada à Saúde e Hábitos de Vida - Etapa I" - Protocol CAAE: 33210414.3.0000.0121 and was developed between August and November 2014.

The population (N = 5182) was composed of adolescents aged 14 to 19 enrolled in state public schools in the city of São José, Santa Catarina (SC) State, Brazil, which has 209,804 inhabitants and a Municipal Human Development Index of 0.809. São José city makes territorial boundary with the city of Florianópolis and together they form the most populous metropolitan region of SC State, Brazil. The school space, besides being an environment conducive to encouraging the adoption of a healthy and active lifestyle, is a place where young people spend much of their time. Thus, the choice of students in public institutions is justified because the schools and the neighbourhoods where they are located present social, cultural and economic discrepancies, allowing the identification of adolescents of different cultures, ethnicities and customs.

The sample process was determined in two stages: 1) stratified by state public high schools (n = 11); 2) group conglomerate considering study shift and school grade (n = 170 classes). In stage 2, all high school students who were present in the classroom on the days of data collection were invited to participate in the study.

For the sample calculation, we adopted an unknown prevalence for the outcome (50%), a tolerable error of five percentage points, a 95% confidence interval, a delineation effect of 1.5, adding 20% for losses and refusals, and a further 20 % for association study. A sample of 751 adolescents was estimated. However, due to conglomerate sampling, all students in the classes were invited to participate in the study, resulting in 1,148 students with data collected, of them 16 individuals were excluded because they were over 19 years old, totaling 1,132. It was defined as eligible to be enrolled in the state education network, be in the classroom on the day of collection and between 14 and 19 years old. It was considered as refusal the adolescent who did not want to participate in the research and as sample loss the questionnaire not filled out or those adolescents who did not perform one or more physical tests.

The dependent variable was lumbar force. The test used to evaluate lumbar strength levels is an isometric test proposed by the group of Canadian Physical Activity, Fitness and Lifestyle Approach (CPAFLA)14 with predictive validity for lumbar pain15. The test of extension and support of the trunk, dorsal isometric, was performed on a bench in which the evaluated one lies down in ventral position, only the legs and the hip were in contact with the bench. A prepared rope supports the legs with padding in the posterior regions of the thigh and leg. At the evaluator's signal, the participant raised the trunk horizontally with the legs, remaining for the maximum time the person was able to maintain this position. The test was terminated when the participant held the torso or held it up to a maximum of three minutes (180 seconds). The Canadian protocol15 determines five ratings for this test, which varies by gender and age: (A) "Needs improvement"; (B) "Regular"; (C) "Good"; (D) "Very good"; (E) "excellent". In this study, the level of lumbar force was considered "adequate" for adolescents in categories (c), (d), (e) and "inappropriate" for categories (a) and (b).

The sociodemographic and lifestyle variables were collected through a self-administered questionnaire, and the question about the level of physical activity was taken from the Youth Risk Behaviour Survey, translated and validated for Brazil16. Age was categorized as "14-16 years" and "17-19 years". The economic level was identified by Brazilian Association of Research Companies (ABEP) and dichotomized in "High" ("A1", "A2", "B1", "B2") and "Low" ("C1", "C2", "D", "E").

Screen time analysis was performed by six different questions, which verified the amount of hours spent in front of the television, computer and video game, weekly and on weekends. The screen time was calculated by the sum of the hours spent in front of the screen during working days (calculated by multiplying the hours and minutes by five) and at the weekend (calculated by multiplying the hours and minutes by two), resulting in the full time of screen. The daily average of hours was verified by the sum of the hours in the seven days of the week divided by the total of days of the week (seven days) for the three types of electronics (television, computer and video game). The categories were "adequate" (<2 hours per day) and "inadequate" ( 2 hours per day)17.

The question about practicing physical activity was, "During the past seven days, how many days have you been physically active for at least 60 minutes daily?" Adolescents who practiced physical activity five days or more weekly were classified as "physically active ( 300 minutes per week)" and less than five days/week as "physically un-active (<300 minutes per week)".

Aerobic fitness was measured using the modified Canadian Aerobic Fitness test - Mcaft14, validated in comparison with indirect calorimetric in Canadian men and women aged 15-69 years18. The adolescents had to complete one or more stages of three minutes each (ascending and descending two steps of 20.3 centimetres each with increase of intensity) in predetermined cadences according to sex and age. The test was finalized only when the subject reached 85% of the maximal heart rate (recommended by the 220-age formula)14 which was measured using the Polar® brand H7 Bluetooth Frequencimeter (Kempele, Finland). For the adolescents who completed at least one stage, but stopped in the middle of the other, was counted as final stage the previous stage.

Oxygen expenditure and reference values for aerobic fitness were determined by the Canadian battery tests15. The equation of the aerobic fitness score is: Score= 10 [17.2 + (1.29 x Oxygen expenditure) - (0.09 x weight in kg) - (0.18 x age in years)19-21. From this score, each participant was classified in one of five categories: (A) "Needs improvement"; (B) "Regular"; (C) "Good"; (D) "Very good"; (E) "Excellent". The adolescents in categories (c), (d), (e) were considered to have "adequate" aptitude and, for categories (a) and (b), "inadequate" aptitude.

In order to obtain the BMI measure (body mass in kilograms/height in meters2), the standardization of the International Society for the Advancement of Kinanthropometry (ISAK) to measure body mass and height, classifying individuals according to the cut-off points of the World Health Organization that considers sex and age22. BMI was dichotomized in "normal weight" (low weight and eutrophic) and "overweight" (overweight and obesity).

In the descriptive analysis of the variables were used means, standard deviations and frequency distribution. The normality of the data was verified through histograms of sample distribution, however, no variable had a normal distribution. To identify differences in the prevalence of low levels of lumbar force according to the independent variables, the chi-square test of heterogeneity was applied.

Binary logistic regression was used to examine the associations between outcome with socio-demographic indicators (sex, age, economic level), lifestyle (screen time and physical activity), aerobic fitness and presence of excess weight, estimating the odds ratio (OR) and the 95% confidence interval. All variables were introduced in the independent adjusted p-value model in the crude analysis. The variables that presented p <0.05 were considered associated with the outcome. The level of significance was set at 5%.

The analyses were performed in Stata 11.0 software (STATA Corp. College Station, Texas USA), considering the design effect and the sample weight. The results were not stratified by sex because there was no interaction between sex and outcome.

 

RESULTS

Of the 1,132 students, 223 were excluded from the analyses because they did not perform the lumbar force test, resulting in 909 students with a mean of 16.22 ± 1.14 years of age, predominantly female adolescents (54.2%). Table 1 shows mean values and standard deviation of age, anthropometric variables, BMI, aerobic fitness and muscular endurance in the lumbar force test. The boys had higher values than the girls for height, aerobic fitness and muscle endurance time in the lumbar force test (p <0.01). There were no differences between the gender for age, body mass and BMI.

Table 2 shows that the majority of the sample was 14-16 years old and had a high economic level. Of the students investigated, more than half of the sample was overweight. Eight out of ten adolescents presented excessive screen time, 76.4% were poorly active and 45.8% had low aerobic fitness. Girls and those boys who were overweight had worse performance of muscle strength of lumbar force (p <0.01). In addition, females and those boys who were overweight had higher prevalences of having low levels of lumbar force (p <0.05).

Both in the raw and in the adjusted analysis, those overweight adolescents were more likely to have low lumbar force. In the crude analysis girls were less likely to have low lumbar force. In the adjusted analysis, girls were more likely to have low lumbar force (Table 3).

 

DISCUSSION

The main finding of this research was almost half of the sample presented low levels of lumbar force. The subgroups most likely to have low levels of lumbar force were females, those who had excessive screen time and were overweight.

The prevalence found for the low level of lumbar force of adolescents was 45.2%, similar to studies carried out with students from southern Brazil6,23. This finding is worrying because low rates of lumbar force have been reported in the literature as a risk factor for the development of some dysfunctions such as low back pain and postural distortions in different age groups, increasing the chances of lumbar complaints2-4,12. Therefore, it is important that adolescents receive guidelines encouraging the regular practice of physical activity in order to improve physical fitness and muscular strength and endurance. As an example of this importance, after an intervention with young adults (mean age of 27 years) aimed to investigate the effects of six weeks of exercise training on the levels of pain, disability and muscular strength/endurance of individuals with low back pain it was observed the muscle strength/endurance levels were significantly higher after the intervention7.

The results of this study support theories12,24 that indicate an association between low level of lumbar force and the female sex12,24. This fact happens because, generally, regular physical activity in adolescence is more exercised by boys, through games, and competitive sports, which provides improvement in muscle strength/endurance25. In addition, hormonal differences arising from the maturational process in the adolescence phase provide a better performance in physical tests by the boys compared to the girls25,26. Therefore, it is important to encourage, especially in females, the regular practice of physical activity in order to improve and possibly develop better levels of lumbar force.

Excessive screen time was associated with low levels of lumbar force. A study of 3,600 schoolchildren in Shanghai, China, found similar data27. Possible justification for this association is that prolonged sitting or incorrect postures, leading to changes in the musculoskeletal structures of the various body segments, increasing the internal pressure in the nucleus of the intervertebral disc by approximately 35%1. In addition, occurs the stretching of structures (ligaments, small joints and nerves) of the vertebral column , reduction of return circulation of the lower limbs and risk for development of inflammatory processes in the musculoskeletal structures causing symptoms of pain1.

As presented in previous studies6,11, adolescents who were overweight were more likely to have low levels of lumbar force. This is justified because overweight individuals have lower percentages of muscle mass and the accumulation of central fat promotes the protrusion of the abdomen, leading to distension and weakness of the abdominal musculature, which can result in lower performance in the physical test used.

The variables age, economic level, physical activity level and aerobic fitness did not present significant associations in this study. A study with adolescents from Santa Catarina, Brazil, also found no significant association between low lumbar force levels and the variables age, economic level and level of physical activity. Possible justification is other different lifestyle factors were analysed in other researches, among them dietary habits5, Body Mass Index6 and sitting time1, may have influenced the result.

The limitations of the research were: 1) The fact that the adolescents knew that they were participating in lifestyle research could, in itself, have influenced the results, such as underestimation or overestimation of these variables; 2) Since it was not possible to control the movement of adolescents before the aerobic fitness test, some of them may have started the heart rate test above resting heart rate.

The relevant finding of this study is factors associated with low level of lumbar force in adolescents, such as excessive screen time and excess weight, are considerable modifiable factors. Thus, different levels of actions aimed at student health can be used to reverse this situation. Effective intervention programs that prioritize the promotion and maintenance of satisfactory levels of lumbar force are required1, especially by encouraging the practice of physical activity6-8 and food re-education5 to reduce excess body adiposity12.

In conclusion, almost half of adolescents presented low levels of lumbar force. Female adolescents and male students who were overweight were more likely to have low levels of lumbar force.

 

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Correspondence:
elianeandradegoncalves@gmail.com

Manuscript received: 21 March 2017
Manuscript accepted: 20 June 2017
Version of record online:06 September 2017

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