Introduction
The survival of infants born under adverse conditions has increased due to scientific and technological advances in obstetric care and neonatology1), (2), (3), (4), (5. This trend is evident among preterm infants and is more pronounced in those with a low gestational age (GA)1), (6. However, the decline in mortality is not accompanied by reduced morbidity1), (2), (7), (8.
The World Health Organization (WHO) defines preterm birth as babies born alive before 37 weeks of pregnancy are completed; these infants are categorized according to GA as moderate to late preterm (32 to 37 weeks), very preterm (28 to 32 weeks) and extremely preterm (less than 28 weeks)9), (10. In 2010, an estimated 15 million premature births occurred worldwide, corresponding to 11.1% of all births11), (12. Brazil was ranked 10th out of 184 countries studied in 2010, with 9.2% of infants born prematurely11), (12. Data from recent years reveal a rising trend13), (14), (15), (16, with 11.48% preterm births in 2013, according to the National Live Birth Information System (DATASUS)17.
Premature birth is a risk factor for neonatal, early childhood and long-term morbidities. It can also contribute to neuro-psychomotor development disorders, socioeconomic and behavioral difficulties18), (19), (20), (21), (22, and cause functional problems that compromise activities of daily living (ADL), extending through the child’s life3), (22.
According to Maggi et al.23, it is important to monitor the development of children up to school age, focusing on motor coordination, cognitive development and functional performance. Functional assessment measures children’s ability to perform ADL and carry out their socially expected role, when compared to physically and emotionally healthy children of the same age and culture1. The evaluation of children at risk for developmental issues focuses primarily on functional assessment24. Functional assessment at preschool age allows preventive measures to be taken early and warns parents of any difficulties when children enter the school environment23.
Although a number of studies have investigated factors that can compromise the development of preterm infants, there is still little evidence regarding the long-term impact of these factors on their functional capacity, ADL, independence and participation in their environment, especially in Brazil25. As such, this study aimed to compare the functionality of 5 to 7-year-old schoolchildren born prematurely with those born full-term.
Methods
Participants
This is a descriptive observational cross-sectional study. Data were collected from November 2014 to February 2015, using convenience sampling. Participants were children born prematurely and full-term in the municipality of Juiz de Fora and still residing there. This study is part of a broader project entitled “QUALITY OF LIFE AND FUNCTIONALITY OF SCHOOL AGE CHILDREN BORN PREMATURELY”, approved by the Research Ethics Committee of Federal University of Juiz de Fora on November 12, 2014, under protocol number 875.927.
The preterm group (PTG) consisted of 5 to 7-year-old children born at less than 37 weeks, recruited by convenience sampling from a database compiled in a previous study26. The second group consisted of children born full-term (FTG), between 37 and 42 weeks, with a birth weight greater than 2500 grams, matched with the PTG for age, sex and socioeconomic status (SES). To that end, the parents or legal guardians of each child in the PTG were asked to recommend neighbors, relatives, friends or pupils at the same school with the same age and gender as their child. The age range of full-term children in relation to those born prematurely was considered in accordance with age in years (maximum 11-month interval).
Both groups contained only schoolchildren. Exclusion criteria for both groups were hospitalization in the previous six months, congenital malformation, chromosomal abnormalities and cerebral palsy. In the FTG, children with a history of perinatal complications were also excluded from the study. These exclusion criteria were established because of their potential to compromise the outcome assessed. The inability to complete the interview was considered a discontinuity criterion, with the participant subsequently excluded for not providing comprehensive information.
Instruments
Pediatric Evaluation of Disability Inventory- PEDI
The PEDI was applied to assess the functional performance of the children. The instrument was translated, adapted and validated for Brazilian Portuguese and can be used with children aged 6 months to 7.5 years or those with motor performance within this range27. The test assesses the daily functional skills available in the child’s repertoire (Part I), their level of independence and the amount of caregiver assistance required (Part II), and the environmental modifications needed (Part III). Each of these scales evaluates three domains, namely self-care, mobility and social function. The present study used only Parts I and II, in the form of a structured interview with the caregiver.
The first part provides information on the functional skills of the children and the second pertains to data on their level of independence when performing tasks, which is inversely proportional to the amount of assistance needed from the caregiver27), (28. The data were analyzed considering the raw scores (summed scores from each scale); the scoring criteria used are described in the instrument instruction manual27.
Brazilian Economic Classification Criteria (Brazilian Association of Market Research Companies - ABEP)
The socioeconomic status (SES) of the participants was characterized according to the ABEP. This questionnaire assesses the schooling level of the head of the family and estimates his or her purchasing power, dividing families into socioeconomic classes (A, B1, B2, C1, C2, D and E) based on the summed scores of the items evaluated, ranging from 0 to 10029. Since none of the participants were classified as socioeconomic class E, for the purpose of data analysis, the upper classes A and B were combined into Class AB (high socioeconomic status) and classes C and D into Class CD (low socioeconomic status).
In addition to the standardized instruments, a data registration protocol was devised in order to collect data related to the primary outcomes or that could interfere in this measure. In this protocol, caregivers were questioned about biological (sex, age, birth weight), family and social factors (mother’s age, parent’s marital status, household income and per capita household income).
Procedures
The study objectives and procedures were explained at the interview, after which written informed consent was given. The interview began with the researcher filling out the data registration protocol, followed by the ABEP and PEDI. For standardization purposes, the researchers were trained in the interview procedure and received written instructions, with all the interviews following the same order of application. The interviews were scheduled with parents by phone in order to select the best time and place for them as the primary caregivers. This was typically at the child’s home.
The data collection team consisted of a physiotherapist and four undergraduate physiotherapy students, with each collection performed by a single member. The database entry was composed of two undergraduate physiotherapy students who were not part of the data collection team. Each participant was assessed once by a trained evaluator experienced in the application of all the instruments used, with excellent intra-rater reliability (test-retest) scores (ICC > 0.90) for the PEDI.
Statistical Analysis
Descriptive statistics were used for sample characterization, which was deemed normal. The t-test was used to assess equivalence between groups and the chi-squared and/or Fisher’s exact tests to determine the association between the two categorical variables. The t-test was applied to compare functional performance between the PTG and FTG according to the raw score (continuous variable), where the PEDI scores were considered the dependent variable. A significance level of α = 0.05 was set for all statistical analyses, performed using the Statistical Package for Social Sciences (SPSS®, v. 14.0).
Results
The sample consisted of 110 children aged between 5 and 7 years, 55 in the preterm group (PTG) and 55 in the full-term group (FTG).
Sample characterization in relation to the continuous variables is shown in Table 1. Given the composition of the sample, gestational age (GA) and birth weight (BW) were significantly lower in the PTG (p < 0.001). Table 2 shows the categorical variables, with caregivers of the PTG describing their children as having a disease more often than FTG caregivers (p = 0.010). With respect to complications during the perinatal period (CPP), due to a sample selection criterion these were only reported in the PTG (p < 0.001). Moreover, significantly more children from the PTG were at an earlier stage of schooling when compared to the FTG (p = 0.023).
Table 1 Characteristics of the study participants according to continuous variables
Continuous variables | PTG (n: 55) | FTG (n: 55) | p value |
---|---|---|---|
Gestational Age (weeks) | 32.16 (2.80) | 39.02 (0.95) | <0.001* |
Birth Weight (grams) | 1815.93 (714.66) | 3225.07 (417.69) | <0.001* |
Child’s age (years) | 5.42 (0.71) | 5.62 (0.68) | 0.135 |
Mother’s age at birth (years) | 31.60 (7.04) | 29.18 (6.96) | 0.075 |
Family Income (Brazilian reals) | 4812.25 (4155.02) | 4084.95 (4065.98) | 0.356 |
Per capita household income (Brazilian reals) | 1042.50 (1040.71) | 1424.41 (1361.34) | 0.101 |
Note: PTG: Premature group; FTG: Full-term group; n: Number of participants: Values expressed as mean and standard deviation in brackets. * p < 0.05. T-test.
Table 2 Characteristics of the study participants according to categorical variables
Categorical variables | PTG (n: 55) | FTG (n: 55) | p value | |
---|---|---|---|---|
Sex | Female | 27 (49.1%) | 26 (47.3%) | 0.849 |
Male | 28 (50.9%) | 29 (52.7%) | ||
CPP | Yes | 48 (12.7%) | 0 (0%) | <0.001* |
No | 7 (87.3%) | 55 (100%) | ||
Diseases (current) | Yes | 21 (38.2%) | 9 (16.4%) | 0.010* |
No | 34 (61.8%) | 46 (83.6%) | ||
Child's schooling level | Preschool year 1 | 17 (30.9%) | 11 (20.0%) | 0.023* |
Preschool year 2 | 28 (36.4%) | 20 (36.4%) | ||
Grade 1 | 6 (10.9%) | 19 (34.5%) | ||
Grade 2 | 4 (7.3%) | 5 (9.1%) | ||
Socioeconomic status - ABEP | AB | 29 (52.7%) | 37 (67.3%) | 0.119 |
CD | 26 (47.3%) | 18 (32.7%) | ||
Mother’s schooling level | Basic education | 19 (34.5%) | 9 (16.4%) | 0.076 |
High school | 22 (40.0%) | 25 (45.5%) | ||
College | 14 (25.5%) | 21 (38.2%) | ||
Parents live together | Yes | 44 (80.0%) | 38 (69.1%) | 0.189 |
No | 11 (20.0%) | 17 (30.9%) | ||
Mother’s job | Employed | 39 (70.9%) | 44 (80.0%) | 0.268 |
Unemployed | 16 (29.1%) | 11 (20.0%) |
Note: PTG: Premature group; FTG: Full-term group; CPP: Complications during the perinatal period; n: Number of participants: Values expressed as absolute frequency and percentages (%) in brackets. * p<0.05 Chi-squared or Fisher’s exact test.
The raw score for each group in the PEDI is shown in Table 3. The PTG exhibited a significantly lower raw score than the FTG for the Mobility domain of the Caregiver Assistance scale (MCA) (p = 0.009).
Table 3 Comparative data of the Pediatric Evaluation of Disability Inventory (PEDI) according to group
PEDI | PTG (n: 55) | FTG (n: 55) | p value |
---|---|---|---|
FSSC | 68,69 (3,39) | 69,05 (3,56) | 0,585 |
FSM | 56,76 (2,15) | 57,36 (2,30) | 0,160 |
FSSF | 57,05 (3,55) | 57,31 (3,23) | 0,695 |
CASC | 33,49 (4,91) | 35,22 (4,25) | 0,051 |
CAM | 33,18 (1,74) | 34,04 (1,62) | 0,009* |
CASF | 21,64 (2,12) | 22,31 (1,77) | 0,074 |
Note: PTG: Premature group; FTG: Full-term group; PEDI = Pediatric Evaluation of Disability Inventory; FFSC = functional skills of self-care, FSM= functional skills of mobility, FSSF = Functional skills social function, CASC = caregiver assistance self-care, CAM = caregiver assistance mobility, CASF = caregiver assistance social function; n: Number of participants: Values expressed as mean and standard deviation in brackets. * p < 0.05. T-test.
Discussion
The results of the present study demonstrate that 5 to 7-year-old schoolchildren born prematurely exhibit no functional differences in the self-care, mobility and social function domains in relation to full-term children. With respect to caregiver assistance, the caregivers of the preterm group (PTG) provided more help in the mobility-related tasks.
In relation to functionality, no inter-group differences were observed on the functional skills scale; however, the literature indicates that preterm children show delayed motor development when compared to those born full-term1), (3), (8. Studies describe worse perceptual, motor and postural performance among premature children, even those over 4 years old30), (31), (32), (33), (34), (35. Nevertheless, most studies assess groups of prematurely born children without excluding those diagnosed with neuromotor impairment, which could influence the motor and functional outcomes. Children with neuromotor impairments were excluded from the present study in order to directly determine whether premature children would exhibit impaired functional development in the 5 to 7-year-old age range, which could not be confirmed.
A number of studies focus on extreme prematurity (GA less than 28 weeks), while only a small portion address the development of moderate (28 to 32 weeks) to late preterm children (32 to 37 weeks), indicating a need for a broader approach by including preterm children with different gestational ages35. The present study included children with different degrees of prematurity, meaning the mean GA and birth weight were higher than those observed in other studies. These differences may explain the disagreement between our results and those found in the literature30), (31), (32), (33), (36.
Camargos et al.37 studied motor performance in moderate preterm schoolchildren aged 7 to 8 years and compared them to full-term children. The authors found that the former only exhibited delays in fine motor skills, with no differences in gross motor skills, balance, body schema, spatial or temporal organization. Similarly, Ribeiro et al.38 compared the gross motor skills of premature and full-term children. The authors assessed 37 children aged between 5 and 6 years with a mean GA of 33.54 weeks in the preterm group. In both the abovementioned studies, the preterm children were within the normal spectrum according to the instruments used and showed no difference in gross motor skills when compared to children born full-term37), (38. As in the present study, a possible explanation for the difference found in relation to the literature may be the higher mean GA and birth weight (BW) when compared to other studies, which evaluated children with a GA of under 33 weeks and weight less than 1,500 g. These results reinforce the importance of expanding research on this population and not restricting studies to children born extremely preterm with extremely low weight.
With respect to caregiver assistance, when preschool age children were assessed, previous studies show that preterm children exhibit greater mobility delays when compared to those born full-term25), (39. The same result was found in the present study. These findings may be related to the fact that the caregivers (parents) of premature children underestimate their abilities in this area39, offering more help than their full-term counterparts.
Another factor that may explain these results is that, when compared to full-term children, caregivers of preterm children tend to be more dominant in their interaction with the child for longer time periods34), (39. According to Maggi et al.23, this behavior may be attributed to the fact that preterm children tend to be more easily distracted and have difficulty completing the tasks requested, requiring greater participation by the caregiver and resulting in less participation by the children themselves. Additionally, caregivers may also help preterm children more because they feel protective towards them34), (39. These children are considered vulnerable since they were exposed to a biological risk factor at birth, which may lead to the underestimation of their abilities34), (39.
Moreira et al.35 found that a positive family environment promotes development and can reduce or compensate for problems stemming from premature birth, whereas a negative environment may exacerbate the adverse effects related to the biological risk factor35), (40. Thus, the social and environmental context of the family can serve as a protective mechanism against motor impairment, depending on the presence of external resources, such as the physical/material aspects of the environment, as well as the social and human elements and interaction with the caregiver35. Furthermore, these resources can also have a positive impact on child development35), (41. Indeed, studies have found that better quality resources in the home may lead parents to better care for their children and be more likely to follow the recommendations of educational and healthcare professionals35), (40), (41.
The small number of participants precluded subdividing the PTG according to degree of prematurity to determine whether this factor could affect the outcome studied. The proximity of the age range studied to the maximum age of the instrument used may have allowed many of the children to obtain maximum scores in the test. As such, instruments that assess functional performance using more elaborate tasks and a wider age range when evaluating these children are suggested. This would help identify other areas not addressed in the instrument used. Additionally, longitudinal studies with a larger number of participants could contribute to a better understanding of the long-term effects of prematurity.
The results of the present study are encouraging, but it is important to underscore that other issues should be monitored in premature children, such as the possibility of behavioral and learning problems. Moreover, the findings highlight the importance of identifying groups that really need long-term follow-up in relation to functionality as opposed to generating the stigma of vulnerability over the lifetime of preterm children.
Conclusion
The present study contributes to the literature by providing a positive perspective on the development of children born prematurely, demonstrating that children who exhibit this risk factor at birth, but show no primary deficits may overcome functionality issues by the age of 5 to 7 years and no longer display clinically diagnosed impairments associated with preterm birth. However, it also shows that despite the lack of differences in functional skills in relation to children born full-term, caregivers still tend to participate more in their activities at home.