nova página do texto(beta)
Inglês (pdf)
Artigo em XML
Curriculum ScienTI
Tradução automática
Citado por SciELO 
Citado por Google 
Similares em
SciELO 
Similares em Google 
Permalink
Introduction
The large number of postural changes and dysfunctions among children and adolescents [1] is a concerning social problem [2]. Postural changes in the curvature of the lumbar region may lead to severe pathological dysfunctions [3]. According to Berven et al., changes in spinal alignment have a significant influence on range of motion and can cause serious disturbances to the intervertebral disks and several degenerative diseases, interfering negatively in the health-related quality of life of children and adolescents [4].
Lumbar lordosis (hyperlodosis) acts significantly against gravity, supporting a large part of body weight when compared to the thoracic and sacral spine, where peak development occurs during puberty [5], between the ages of 8 and 13 years in girls and 10 and 15 in boys [6]. Data show that motor failure in the lumbar region and body mass index are considered risk factors for nonspecific pain in this region in children and adolescents [7, 8], and an increase in lumbar lordosis angle is related to both age [9] and excess body weight [10].
In a systematic review, Kasten et al. [11] reported that although Brazil stands out for the number of studies on body posture, there is still no consensus in the literature that attributes a single risk factor for postural changes, suggesting its cause is multifactorial [12]. In this respect, the present study aims at determining whether BMI, age and sexual maturation are predictors of hyperlordosis in children and adolescents.
Methods
Sample and study type
This is a cross-sectional, analytical, descriptive study of a convenience sample of 380 students, 54% (n= 204) girls and 46% (n=176) boys, aged between 10 and 18 years, with an average age of 12.6±1.68 years for girls and 13.03±1.76 years for boys. All the participants were enrolled in the 5th to 9th grades at two municipal schools in Manaus, Amazonas state, Brazil. The study was approved by the Research Ethics Committee of the Estácio Faculty of Amazonas, under protocol CAAE no. 73683517.9.0000.5017, and in line with the ethical principles contained in the 1995 Declaration of Helsinki.
In order to take part in the study, parents or guardians provided written informed consent and the students signed a term of agreement. Exclusion criteria were students diagnosed with neurological or rheumatological disease or any other disorder that affected body posture and the locomotor apparatus, those who were frequently absent from classes and who refused to undergo any of the tests during the study.
Data collection instruments
Body composition was determined by BMI, calculated by the ratio between body weight in kilograms and height in meters squared [BMI = weight (kg)/height2 (m)] [13]. Weight was measured on a Filizola anthropometric balance with a maximum capacity of 150 Kg and accurate to 100 grams. Height was measured using a stadiometer graduated in millimeters and measured in centimeters. To measure weight and height, the boys wore shorts, but remained barefoot and shirtless. The girls wore shorts and a mini blouse and were barefoot. BMI was classified based on the Fitnessgram values [14], where healthy status was at least 16.6Kg/m2 at ten years of age for girls and a maximum of 27.3 Kg/m2 at the age of 18. The minimum classification used for boys was 15.3Kg/m2 at the age of ten and a maximum of 27.8 Kg/m2 at 18. The BMI classification used showed that children within the healthy zone exhibited adequate weight for their age group and the children and adolescents in the unhealthy group who were above the recommended values were overweight for their age and those below the minimum underweight [14].
In order to determine sexual maturation, Tanner’s self-assessed pubic hair growth scale, illustrated via diagrammatic presentation, is classified into five sexual maturation stages. Stage 1 is considered pre-pubertal; stages 2, 3 and 4 pubertal and stage 5 post-pubertal. Students marked an X beside the figure that most closely represented their own stage, which was subsequently classified by the researcher [15].
In order to determine the angular values of lumbar lordosis, the Digital Image-based Postural Assessment (DIPA) photogrammetric method, version 3.1, was used. This simple instrument is a largely noninvasive, low-cost, valid and practical technique to analyze the spine in the sagittal and frontal planes and provide other potential information to researchers [16].
Data collection procedures
Physical and postural assessments were carried out in a private room prepared specifically for this study. The students were monitored individually up to data collection, which initially involved filling out the student identification chart with the following information: age, sex, birthdate, parents’ or guardians’ schooling level, and school grade, data the researcher subsequently confirmed with the school administration.
After this stage, students received the self-assessment pubic hair growth chart proposed by Tanner [15], marking the figure most appropriate for their respective stage. In the next stage, height and weight were measured to calculate BMI, with students standing barefoot on the anthropometric balance, arms extended along their body and chin parallel to the floor.
In the following stage, posture was analyzed using the Digital Image-based Postural Assessment (DIPA) photogrammetric method, version 3.1. Based on the angular values, the students were classified according to the criteria proposed by the program: physiological lumbar lordosis angle from 31 to 49.5◦ and >49.5◦ [16].
First, a black cloth (2.00 x 2.00m) was mounted at the end of the evaluation room. During this procedure, students were asked to assume the orthostatic position,
in the posterior plane, with arms relaxed at their sides and chin parallel to the floor, after which anatomic points were marked with a Mitsubishi 7600 dermatograph pencil (black micropigmentation). Next, the following stages were conducted: (1) palpation and marking of specific DIPA protocol reference points, consisting of 6 small white markers (Styrofoam balls) with a diameter of 1 cm, attached to the following anatomical points: CO, C1, C2, C4, C6 and C7 and 10 rod-shaped markers, each consisting of a plastic base and small white ball, whose total length is 4.5 cm, to be attached to the anatomical points; placing the Canon Power Shot SX500 IS digital camera (16 megapixels, 35mm lens) on a tripod 2.8m from the subject and 0.95m from the floor. Two photos were taken of the body posture of each student, in the right sagittal plane, with their hands crossed in front of their body; (3) a plumb line with two medium white markers 1.00 m apart was suspended from the ceiling 1.05 m away from the back wall, to coincide with the same depth as the lateral malleolus of the student’s right heel; (4) photographic record, followed by observation and computer analysis of the photos; (5) digitizing the photos in the software; and (6) producing the DIPA postural report by transferring the photographs to a Samsung NP300E5K computer [16].
After the physical and postural assessments, the students returned to their classroom accompanied by the researcher.
Statistical Analysis
The data were presented as mean, standard deviation, frequency and percentage. The Mann-Whitney test was used for intergroup comparison and the chi-squared and Fisher’s Exact tests to analyze the association between variables. The last test was used when the expected frequency was not met. The binary logistic regression model was applied to determine whether age (for girls) and puberty (for boys) are predictors of hyperlordosis. The significance level was set at p ≤ 0.05. The data were analyzed in IBM SPSS Statistics 24.
Results
The association between hyperlordosis and BMI showed no significant differences for girls (p=0.380) or boys (p=0.987) (Table 1).
Table 1 Incidence of hyperlordosis using body mass index according to the Fitnessgram protocol, for girls and boys
| BMI | Hyperlordosis | Total | p-value | ||||
| Girls | No | Yes | |||||
| Unhealthy | 64 | (93%) | 5 | (7%) | 69 | (100%) | 0.380 NS |
| Healthy | 128 | (95%) | 7 | (5%) | 135 | (100%) | |
| Total | 192 (94%) | 12 (6%) | 204 (100%) | ||||
| Boys | No | Yes | |||||
| Unhealthy | 54 | (92%) | 5 | (8%) | 59 | (100%) | 0.987 NS |
| Healthy | 107 | (92%) | 10 | (8%) | 117 | (100%) | |
| Total | 161 (92%) | 15 (8%) | 176 (100%) | ||||
Note: NS - Not significant for Fisher’s exact test in girls and the chi-squared test in boys. BMI - Body mass index.
A comparison of BMI values with respect to the incidence of hyperlordosis and sex (Table 2) also revealed no statistically significant differences in girls (p=0.914) or boys (p=0.725).
Table 2 Body mass index, according to the incidence of hyperlordosis, for girls and boys
| Hyperlordosis | BMI | p-valuea | ||||
| Mean | Standard Deviation | Median | Minimum | Maximum | ||
| Girls | ||||||
| No | 19.22 | 3.26 | 19.05 | 11.98 | 32.30 | |
| Yes | 19.20 | 3.22 | 18.74 | 15.70 | 27.18 | 0.914 NS |
| Mean | 19.22 | 3.25 | 19.05 | 11.98 | 32.30 | |
| Boys | ||||||
| No | 19.57 | 3.84 | 19.14 | 10.22 | 37.81 | 0.725 NS |
| Yes | 19.97 | 3.85 | 19.37 | 14.74 | 28.13 | |
| Mean | 19.61 | 3.84 | 19.20 | 10.22 | 37.81 | |
Note: NS - Not significant for the Mann-Whitney test. BMI - Body mass index.
A comparison of average age between the individuals with hyperlordosis or not (Table 3) showed significant differences in the girls (p=0.04). However, no statistically significant differences were observed for the boys (p=0.195).
Table 3 Age, according to the incidence of hyperlordosis, by sex
| Hyperlordosis | Age | p-value | ||||
| Mean | Standard Deviation | Median | Minimum | Maximum | ||
| Girls | ||||||
| No | 12.7 | 1.67 | 12 | 10 | 17 | |
| Yes | 11.7 | 1.50 | 11 | 10 | 14 | 0.04** |
| Total | 12.6 | 1.68 | 12 | 10 | 17 | |
| Boys | 0.195NS | |||||
| No | 13.1 | 1.74 | 13 | 10 | 17 | |
| Yes | 12.60 | 1.99 | 12 | 10 | 18 | |
| Total | 13.03 | 1.76 | 13 | 10 | 18 | |
Note: ** p <0.05. NS - Not significant for the Mann-Whitney test.
The binary logistic regression model was applied to determine whether age (for girls) is a predictor for the occurrence of hyperlordosis (Table 4). The model containing the age variable was significant for the girls, with an odds ratio (OR) of 0.656; that is, for each additional year, the chance of exhibiting hyperlordosis declined by 34%.
Table 4 Variables included in the logistic regression models, according to sex
| Variable | Estimate | p-value | OR |
| Girls | |||
| Age | -0.421 | 0.049 | 0.656 |
| Boys | |||
| Puberty (Stage P2) | 1.457 | 0.022 | 4.292 |
The highest incidence of hyperlordosis in the female subjects occurred among 10-year-olds (17%), followed by 11-year-olds (9%), with lower percentages recorded at ages 13 (7%), 14 (5%) and 12 years (2%) and no cases (0%) among girls aged 15 to 18 years. Among the boys, the largest incidences were observed at 12 (15%) and 11 years old, followed by 10-year-olds at 10%, 8% for 16 to 18-year-olds, and 7 and 3% in 14 and 13-year-old boys, respectively. However, no statistically significant results were recorded between the different age groups and the occurrence of hyperlordosis in boys and girls (p<0.05).
Table 5 shows that the highest occurrence of hyperlordosis was observed in the pre-puberty stage (P1), with 12%, and the puberty phase (P3), with 8%. In boys, the highest incidence of hyperlordosis was also found in the prepubescent stage (P1), corresponding to 25% of the students analyzed and in postpubescence (P5), 22%.
There was a significant association between puberty and the incidence of hyperlordosis (absence and presence of hyperlordosis) in boys (p=0.031) (Table 5), but no statistical significance for girls (p=0.566).
Table 5 Hyperlordosis by puberty for girls and boys
| Puberty | Hyperlordosis | Total | p-value | |
| Girls | No | Yes | ||
| P1 | 15 (88%) | 2 (12%) | 17 (100%) | |
| P2 | 52 (96%) | 2 (4%) | 54 (100%) | 0.566 NS |
| P3 | 69 (92%) | 6 (8%) | 75 (100%) | |
| P4 | 50 (96%) | 2 (4%) | 52 (100%) | |
| P5 | 6 (100%) | 0 (0%) | 6 (100%) | |
| Total | 192 (94%) | 12(6%) | 204 (100%) | |
| Boys | No | Yes | ||
| P1 | 3 (75%) | 1(25%) | 4 (100%) | |
| P2 | 48 (86%) | 8(14%) | 56 (100%) | 0.031* |
| P3 | 62 (95%) | 3(5%) | 65 (100%) | |
| P4 | 41 (98%) | 1(2%) | 42 (100%) | |
| P5 | 7 (78%) | 2(22%) | 09 (100%) | |
| Total | 161 (91.5%) | 15 (8.5%) | 176 (100%) | |
Note: * p <0.05. NS - Not significant for Fisher’s exact test.
The binary logistic regression model was used to determine whether puberty (for boys) is a predictor of hyperlordosis (Table 4). There was a statistically significant association for stage P2, with an odds ratio (OR) of 4.292; that is, the chance of exhibiting hyperlordosis in stage P2 is around 4-fold higher than in the other stages (Table 4).
Discussion
The aim of the present study was to determine whether BMI, age and sexual maturation are predictors of hyperlordosis in children and adolescents. Analysis of the association between hyperlordosis and BMI based on the Fitnessgram protocol, which classifies individuals as healthy or unhealthy, showed that 7% of unhealthy girls and 5% of the healthy population exhibited this pathology. In the boys, the results were 8% for both groups analyzed. However, no significant associations were found between hyperlordosis and BMI for either girls (p=0.380) or boys (p=0.987). Other studies corroborate our findings, such as those reported by Takayama et al., who obtained statistically significant results between BMI and hyperlordosis in the individuals analyzed here [17].
An important aspect to observe in our research was the low incidence of hyperlordosis (7%) in the students analyzed and the high rate of individuals with BMI in the healthy category that did not exhibit this disorder. These findings suggest that since the percentage of healthy students with no hyperlordosis was significant for both girls and boys (95 and 92%, respectively), a large portion of the students analyzed did not develop the condition because they were not overweight. This corroborates Jankowicz-Szymańska et al., who recently found that the pathology was associated with excessive weight gain in children aged between 10 and 12 years [10].
Other studies also reported that normal weight children showed low levels of hyperlordosis, such as that by Kussuki, João and Cunha [18], who found lower indices of the disorder in normal weight children than their obese counterparts (35% and 62% respectively). In this respect, Malepe et al. [19] showed that the development of lumbar lordosis may be related to a rise in BMI and in a prospective study, Smith et al. [20] observed that postural misalignment in the sagittal plane may be associated with childhood obesity.
Although the results of the present study were not statistically significant, they suggest that the high number of children and adolescents exhibiting healthy BMI levels (93% and 92% in girls and boys, respectively) and no hyperlordosis may be related to the condition’s association with high BMI levels [21].
With respect to age, the frequent occurrence of lumbar lordosis in girls aged 10 and 11 years (10 and 11% respectively), and boys (11 and 15%) at 11 and 12 years of age, respectively. However, the results were not statistically significant (p>0.05). Thus, it is important to underscore the study by Rusek et al. [22], who, despite not specifically investigating the occurrence of hyperlordosis at different ages, found considerable postural disorder in the pelvic region of children and adolescents aged between 8 and 16 years.
About the differences between ages and sexes, the highest incidence of hyperlordosis was observed in both girls and boys, at the onset of puberty, between 8 and 13 years of age for girls and between 10 and 15 for boys [6]. However, only in girls were the results statistically significant (p<0.05), with 34% likelihood of decreasing with age. Corroborating our results, the prospective study by Mrozkowiak et al. [23] also obtained similar findings, such as a decline in increased hyperlordosis with advancing age in children and adolescents between 4 and 18 years old.
These results may also justify the fact that at the onset of female puberty, the speed of bone maturation over a 2-year period does not accompany their growth spurt and may cause a disproportionate body and muscle hypotonia [24], as reported by Cebeci and Tas [25], who found a lower percentage of muscle mass and lean body mass in the pre-pubertal phase of girls. In addition, at female puberty onset, testosterone secretion is low, not producing enough stimulus to develop muscle mass during this period [26].
With respect to puberty, the highest incidence of lumbar lordosis occurred at the onset and end of male puberty, obtaining statistically significant results. Thus, one of the main characteristics of puberty is the variability between children and adolescents [24], producing significant transformations in body posture. This may be related to the levels of muscle mass [27] and body adiposity [26]. In this respect, it is important to underscore the need to stimulate and develop muscle mass and control fat levels in children and adolescents during the school phase. According to Montoro et al. [28], muscle strength in this population is at undesirable levels, favoring a greater risk of developing noncommunicable chronic diseases.
In the present study, both girls and boys exhibited a higher incidence of hyperlordosis in the initial stages of puberty (prepubescence), obtaining 12 and 25%, respectively. The results were statistically significant (p<0.05) between the stages of male puberty and lumbar lordosis. When these results were adjusted by binary logistic regression, that the likelihood of boys’ developing lumbar hyperlordosis in stage P2 was approximately 4-fold higher (OR=4.292). These findings may be related to the fact that hormonal changes during puberty affect physical function and body composition [15, 29].
In this respect, in the initial stages of male puberty, at the onset of the pubertal growth spurt, even if stable, muscle strength may decline, causing body imbalance [24], with peak growth rate occurring in the final stage of puberty (P4) [30]. In addition, only 6 months after pubertal growth spurt is the increase in muscle mass stimulated by testosterone secretion [31], influencing strength levels [32] and causing postural deviations.
The results presented indicate that hyperlordosis should be identified during puberty onset in adolescents, using preventive measures such as implementing postural assessment programs to diagnose, treat, and prevent muscle discomforts characteristic of the pathology, making early intervention by health professionals, primarily physiotherapists and physical education teachers, essential to prevent hyperlordosis [33].
This study exhibits the following limitations: a cross-sectional design was adopted, making it difficult to establish the cause and effect relationships between the study variables; convenience sampling may have influenced the number of participants in certain analysis strata (low % of individuals in certain puberty stages as well as healthy and unhealthy subjects) and not controlling the components of body composition, such as the level of muscle mass.
Conclusion
The aim of the present study was to identify whether BMI, age and sexual maturation are predictors of hyperlordosis in children and adolescents. The results presented here demonstrate that there was no significant association between BMI and hyperlordosis.
When age is related to the disorder, the girls showed 34% less likelihood of developing hyperlordosis with advancing age. With respect to sexual maturation and hyperlordosis, the data were statistically significant only in stage P2 for boys, and the chance of their exhibiting the disorder at this stage is approximately 4-fold higher.
Given that significant and complex morphological and body transformations are observed at the end of childhood and during adolescence, it is important to encourage postural assessment during the school period, primarily in the 10-12 age range and the onset of puberty.
