Background

Neck and shoulder pain is a relatively mild musculoskeletal condition [1], but in recent years it has become a major health problem, and has imposed a heavy burden on the person and community [2,3,4]. The World Health Organization (WHO) has ranked neck pain and other musculoskeletal diseases as the fourth and tenth health problems, respectively, for years lived with disability [5]. The Data show that, the prevalence of neck pain in the general population ranges from 0.4 to 86.8% in the world [6]. In addition, the Global Burden of Disease Study showed that neck pain is one of the main causes of years lived with disability among adolescents aged 15 to 19. Compared to the other health problems such as asthma, alcohol and drug abuse it has a higher prevalence [7]. Also some studies indicate that shoulder and neck pain is more common among children and teenagers of developing countries [8,9,10]. For example, in Iran, neck or shoulder pain was reported 28.6% among 11–14-year-old children [11]. Lifestyle, physical factors, psychological factors, and social factors and improper sitting have been identified as the risk factors associated with neck and shoulder pain among students in different studies [3, 12,13,14,15,16,17]. Furthermore, neck and shoulder pain among children is considered as a risk factor for health problems during adulthood [18, 19]. Therefore, detecting and understanding the pain and managing it during childhood and adolescence is needed to prevent such problems. Given the importance of healthier body composition in childhood which is closely related to healthier profile in adulthood later, it is absolutely essential to identify the risk factors which are major contributors to health problems among children [20]. However, the results on the risk factors (e.g. physical and leisure activity, psychosocial variables, and school-related factors such as classroom furniture) and their relationship to neck and shoulder pain among children and teenagers are not consistent in different studies [21,22,23,24,25]. In additon, the number of the studies which consider all the above mentioned factors is limited. Moreover, little research has focused on the prevalence and the risk factors associated with shoulder and neck pain among the students in elementary schools [9, 11]. Therefore, this study seeks to assess the prevalence of shoulder and neck pain and its potential risk factors among elementary school students.

Methods

The participants in this cross-sectional study were 693 elementary school students (318 boys and 375 girls), and their parents. They were all from Hamadan, a city located in the west of Iran. Students were in grades 1–6 (7 to 12 years old). Data was collected from 20 January to 17 March 2018. The sample size was estimated by using the \( \kern0.5em n=\kern0.5em \frac{{\left({\approx}_{a/2}\right)}^2p\left(1-p\right)}{E^2} \) formula, taking into account the 95% confidence level, 0.95 (1-α = 0.95), the same prevalence that Dianat et al. found in their study [11], with a p = 0.28 and an estimation error (E) of maximum 15% p and applying a cluster sampling factor of 1.5. Therefore the sample size was estimated as 670 students. A random sampling method with a multistage design was used in this study. Hamadan has two educational districts which were considered for sampling. At the first step, the list of elementary schools was prepared and then schools from districts 1 and 2 with high, moderate and low socioeconomic statuses were chosen. Accordingly, 13 schools from the mentioned districts (six from district 1 and 7 from district 2) in terms of gender classifications (male/female) were chosen, as schools in Iran are not coeducational, girls and boys study in single-sex schools. In each school, one classroom from each grade, and then from each classroom, a number of students were chosen through the simple random sampling method based on the sample size (Fig. 1). Finally, the students were selected according to the following criteria for inclusion: (1) being a student in elementary school, and (2) not having chronic diseases or musculoskeletal constraints. The exclusion criteria included not having consent to participate in the study (students and/or their parents).

Fig. 1
figure 1

Flow chart of sampling

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Prior to collecting data, permissions were received from Education office authorities to collect data in the schools, and the students were informed that the participation in the study was voluntary. Oral informed consents from the students and the written informed consents from students’ parents were obtained. There were 780 eligible individuals, of which 693 participated in the study (participation rate = 88.8%).

For the questions about demographic variables, physical activity / leisure time and school related variables, Dianat et al. and Hatami et al., questionnaires (in Persian) were used. These questionnaires have been shown to be adequately reliable and valid [11, 26]. Minor revisions were made according to the experts’ opinions to adapt the items of the questionnaires for the study population in the present study. The questionnaires were tested in a pilot study on 60 students. According to their comments, partial revisions were made to a number of items in the questionnaire to improve transparency and understandability. Additionally, the test-retest approach was used to assess the reliability of the questionnaire items using the Kappa Coefficient (ranging from 0.73 to 0.95) and Internal Correlation Coefficient (ranging from 0.85 to 0.98). The questionnaire developed consisted of three parts. The first part was about the demographic variables and physical activity/leisure time (including age, gender, school grade, physical activity, using of cell phone, using of computer, computer games, and watching television). The second part focused on the school associated factors and information about the suitability and comfort of the school furniture (based on a modification of the Chair Feature Checklist), and the design of the classroom and amount of homework. The last part of the questionnaire included questions about the type of school backpack, how students carry backpack to school and the duration of backpack carrying to school.

To evaluate the students’ posture, the Rapid Upper Limbs Assessment (RULA) checklist was used. RULA which had been developed as an observational method for investigating improper postures among workers was used in this study. First, observations were recorded as numerical scores, then these scores were converted to the final scores through the RULA specific matrix scoring, so that higher scores represented improper postures. The classification of scores was as follow: Level 1: a score of one or two which indicates that the posture is acceptable if not maintained for a long period of time. Level 2: a score of three or four which indicates that further investigation is needed and changes may be required. Level 3: a score of five or six which indicates that the investigation is needed and changes are required, soon. Level 4: a score of seven or more which indicates that further investigation and immediate changes are required [27]. The validity of the RULA checklist in Iran was previously examined by Dianat and Salimi [28] whereas, its reliability was assessed, through inter-rater reliability, at two different times, using a pilot study on 60 students in the current study. The Cronbach’s alpha coefficients for upper arm, lower arm, wrist, neck, trunk, and leg were reported as 0.79, 0.82, 0.78, 0.83, 0.84, and 0.86, respectively.

The standard Strengths and Difficulties Questionnaire (SDQ), was used to measure psychosocial factors [29], and filled out by the parents. The SDQ is a behavioral screening questionnaire with 25 items measuring five behavioral and emotional dimensions in children under the subscales of hyperactivity, emotional problems, conduct problems, peer problems, and prosocial behaviors. The score of prosocial behaviors represented the score of strengths, while the sum of score of other items constituted the score of difficulties. The parents were requested to choose from “not true”, “somewhat true”, and “certainly true” to answer each question, with a range of scores from 0 to 2. Every subscale consisted of five questions and the range of score of strengths was 0–10 and for that of difficulties was 0–40. Given the score, each subscale was divided into three classes of normal, borderline, and abnormal. Reliability and validity of the questionnaire in Iran has been confirmed by Tehranidost et al. [30].

The prevalence of neck and shoulder pain was evaluated by preshaded manikin pictures in order to show the desired areas. The question was as follows “ Have you ever experienced any pain or discomfort in desired areas for one day or more over the past month?” followed by the response (yes/no) [11, 23]. Regarding the severity of pain, the Visual Analog Scale (VAS) was used with a range of 0–10 with 0 representing no pain and 10 indicating maximum pain [31].

Finally, the students’ weight and their backpacks weight were measured using an electronic digital scale (Beurer, Germany) with a 100 g accuracy. The students’ height was measured in centimeters and using a portable stadiometer. Body Mass Index (BMI) was calculated for each student (kg/m2) and classified according to the WHO growth references (2007) into three categories: underweight (<5th percentile), healthy weight (≥5th to <85th percentiles), extra weight (including overweight and obese) (≥85th percentile) [32].

All questionnaires were completed through interviewing and by the principal investigator. The students’ posture was examined by an observer specialized in ergonomics.

Data was analyzed via the SPSS software v.23. The relationship between the shoulder and neck pain, and the study variables was analyzed by the unadjusted (univariate) logistic regression, and those factors independently associated with the shoulder and neck pain were assessed using the adjusted (multivariate) logistic regression. The effect size was calculated using the chance ratio with a confidence interval of 95%, and a significance level less than 0.05.

Results

A total of 32.3% (224) students had at least one of the neck and shoulder pain problems, and 17.2% (119 individuals) reported pain in both regions. The presence of neck and shoulder pain was 35.8% (n = 248) and 30.9% (n = 214), respectively. Further, the mean and standard deviation of severity of pain in neck and shoulder areas were reported as 1.36 ± 0.48 and 1.31 ± 0.46, respectively (with a range of 0–10).

Demographic factors and physical activity/leisure time

The mean (±standard deviation) of the demographic variables among students were 9.70 (±1.61) years for the age, 35.88 (±16.85) kg for the weight, 136 (±16.32) cm for the height, 3.69 (±0.74) kg for the backpack weight and 17.68 (±3.57) kg/m2 for the BMI.

According to Table 1, the boys reported significantly less shoulder pain than the girls (OR = 0.69, 95% CI: 0.50–0.96; p < 0.030). Also the use of cell phone/tablet for 1–3 h per day was significantly associated with neck pain (OR = 2.11, 95% CI: 1.08–4.13; p < 0.029).

Table 1 Demographic and Physical/leisure activity factors and risk of neck and shoulder pain in unadjusted (univariate) logistic regression analysis
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Factors associated with school and curricula

Table 2 shows the relationship between school-associated factors, and neck and shoulder pain. Factors associated with neck pain in the unadjusted (univariate) analysis were very high, seat height (OR = 2.76, 95% CI: 1.78–4.29; p < 0.001), very short seat height (OR = 2.34, 95% CI: 1.35–4.06; p < 0.002), very high desk height (OR = 2.64, 95% CI: 1.61–4.32; p < 0.001), very short desk height (OR = 1.96, 95% CI: 1.30–2.96; p < 0.001), too backward seat pan inclination (OR = 1.51, 95% CI: 1.03–2.23; p < 0.033), too forward seat pan inclination (OR = 2.04, 95% CI: 1.05–3.98; p < 0.035), difficulty in viewing the classroom board (OR = 2.34, 95% CI: 1.08–5.04; p < 0.030) and too much homework (OR = 2.19, 95% CI: 1.32–3.62; p < 0.002). The students who did their homework on desk and seats (OR = 0.63, 95% CI: 0.43–0.92; p < 0.018) and laying position at home (OR = 0.54, 95% CI: 0.37–0.79; p < 0.002) reported less neck pain.

Table 2 School-related factors and risk of neck and shoulder pain in unadjusted (univariate) logistic regression analysis
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Unadjusted (univariate) analysis indicated that shoulder pain was significantly associated with very high seat height (OR = 1.56, 95% CI: 1.02–2.38; p < 0.037), too backward seat backrest inclination (OR = 2.07, 95% CI: 1.20–3.55; P < 0.008), too forward seat backrest inclination (OR = 1.92, 95% CI: 1.06–3.48; p < 0.030), too curved seat backrest curvature (OR = 1.44, 95% CI: 1.01–2.04; p < 0.039), very high desk height (OR = 1.62, 95% CI: 1.06–2.47; p < 0.024), very short desk height (OR = 2.50, 95% CI: 1.51–4.14; p < 0.001) and too much homework (OR = 2.17, 95% CI: 1.27–3.70; p < 0.004).

Psychosocial factors

Table 3 presents the relationship between psychosocial factors and prevalence of neck and shoulder pain. No statistically significant difference was found between neck pain and psychosocial factors. However, only borderline peers’ problems (OR = 1.56, 95% CI: 1.02–2.40; p < 0.039) had a significant relationship with shoulder pain.

Table 3 Psychosocial factors and risk of neck and shoulder pain in unadjusted (univariate) logistic regression analysis
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RULA score and prevalence of neck and shoulder pain

Table 4 shows the relationship between RULA score and prevalence of neck and shoulder pain. RULA score level III (OR = 2.15, 95% CI: 1.29–3.61; p < 0.003), RULA score level IV (OR = 2.64, 95% CI: 1.53–4.56; p < 0.001), and neck pain, as well as RULA at level III (OR = 1.72, 95% CI: 1.02–2.89; p < 0.039), and RULA at level IV (OR = 1.83, 95% CI: 1.06–3.18; p < 0.030) had statistically significant relationships with shoulder pain.

Table 4 RULA score and risk of neck and shoulder pain in unadjusted (univariate) logistic regression analysis
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According to the adjusted (multivariate) regression analysis (Table 5), factors with direct association with neck pain were very high desk height (OR = 1.96, 95% CI: 1.02–3.74; p < 0.001), backward seat pan inclination (OR = 2.10, 95% CI: 1.37–3.24; p < 0.001), forward seat pan inclination (OR = 3.12, 95% CI: 1.46–6.68; P < 0.003), difficulty in viewing the classroom board (OR = 2.54, 95% CI: 1.10–5.84; p < 0.028), too much homework (OR = 2.59, 95% CI: 1.49–4.51; p < 0.001), RULA score level III (OR = 2.88, 95% CI: 1.64–5.05; p < 0.001) and RULA score level IV (OR = 3.12, 95% CI: 1.72–5.63; p < 0.001). The students who did performed their homework on desk and (OR = 0.59, 95% CI: 0.39–0.91; p < 0.017) and in a laying position (OR = 0.53, 95% CI: 0.34–0.81; p < 0.004) reported less pain.

Table 5 Factors associated with neck pain in adjusted (multivariate) logistic regression analysis
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According to adjusted (multivariate) regression analysis (Table 6), factors independently related to shoulder pain were very short desk height (OR = 2.41, 95% CI: 1.26–4.61; p < 0.008) and too much homework (OR = 1.94, 95% CI: 1.10–3.42; p < 0.022).

Table 6 Factors associated with shoulder pain in adjusted (multivariate) logistic regression analysis
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Discussion

This study investigated the prevalence of neck and shoulder pain among 7–12 years old students. More than one-third of students in this study had at least one of shoulder and neck pain problems. Furthermore, physical factors such as school furniture, too much homework, difficulty in viewing the board, and posture (improper sitting positions) were associated with the pain.

Neck pain was associated with very high desk height, as well as forward and backward seat pan inclination. On the other hand, shoulder pain was associated with very short desk height.

Improper height of desk and seat often led to abnormal postures as well as prevalence of shoulder and neck pain [10]. High desk height compels students to lift their arms, causing heavier muscular loads, which in turn results in pain and discomfort in shoulder and neck [33]. Short desk height encourages the back part of the body to lean to a forward position, and thus under load, which could be a possible contributing factor to the pain [34, 35]. Two studies performed in Hamadan (a city in Iran) confirm the mismatch between the anthropometric dimensions of the students and the furniture. The studies found that, the use of same sized furniture in the elementary schools of Hamadan for all educational grades has increased the mismatch with the students’ anthropometric dimensions [36, 37]. Therefore, ergonomic interventions with the aim of improving physical factors in the school environment (designing suitable furniture) may help preventing of such complaints [38,39,40,41].

In the present study, the amount of homework was significantly associated with shoulder and neck pain, that is, the students who spent a lot of time on doing homework had more shoulder and neck pains. This finding was in line with the findings of the study by Dianat et al. [11]. However, the students who did their homework on desk and seat or in a laying position reported less pain. It is believed that the worst method of doing homework is bending on the floor [42]. In this position of studying, the spinal cord is bent for a long time which causes extension and muscle weakness in the spinal cord. Furthermore, with a reduction of abductor muscles of the upper part of the body and shoulder due to different reasons in sitting and standing positions for a long time, the extent of kyphosis curve increases [43, 44]. The abductor muscles are needed to produce the force required to hold the vertebral column straight. By decreasing the ability of these muscles to generate force, the spinal column does not have sufficient support for the abductor muscles to keep it straight in standing and sitting postures. As a result, the weight and force of the upper part of the trunk are placed on the inactive limbs of the ligaments, bones and articular cartilage, etc. This weight can increase the length of the abductor muscles, thus affecting the arches of the vertebral column and increasing the kyphosis arc [45]. Doing homework in a bending position on the floor increases the percentage of kyphosis, but the use of desk decreases it [42, 44].

Difficulty in viewing the board was one of the physical factors associated with neck pain, which is consistent with the results of Dianat et al’s study [11].. It might be attributed to the improper arrangement of desks and seats, unsuitable distance of the blackboard, improper lighting of the class, and other ergonomic principles in the classroom.

RULA score levels III and IV were associated with neck pain in the current study. This supports the findings of a number of previous studies that have reported a significant relationship between bending and rotating of neck and musculoskeletal pains of neck in school age children and adolescents. However, these studies used different instruments (Portable Ergonomic Observation Method/sagittal plane digital photographs) [46,47,48]. Students usually sit with improper postures as bending their neck, trunk, and back for a long time or rotating them, which in turn causes musculoskeletal pain [47,48,49]. The poor postures and prolonged sitting are common in the classroom [50, 51]. In the present study, given the RULA score at levels three and four (investigation and changes are required soon and immediately), education regarding the proper ways of positioning the head and neck to prevent these complaints is recommended [20, 50, 52].

Individual factors such as physical/leisure activity (physical activity time, using cellphone and computer, playing games, watching TV) and BMI were not significantly related to neck and shoulder pain which is in line with other studies conducted by Diepenmaat et al. in Netherland [23] Murphy et al. in England [34] and Dianat et al. in Iran [11].

This study indicated that psychosocial factors in the adjusted (multivariate) regression had no significant relationship with shoulder and neck pain. This stands contrary to the previous research which has reported the relationship between psychosocial factors and musculoskeletal complaints in school age children and adolescents [8, 16, 53, 54]. This may result from the social acceptance of the self-report data. Concerning the young age of students, the SDQ questionnaire was completed by their parents as a self-report. By considering the importance of children’s health for their parents and also their tendency to report their children’s psychosocial conditions desirably, these can have an impact on the study findings.

The response rate in this study was high. Due to the probability of incomplete ability of students to responding the questions, the interview, as the data gathering strategy, was used in this study. Furthermore, to enhance the accuracy of data, posture of students was observed and evaluated by a specialist observer.

Despite the robust findings, this study has several limitations. This study had a cross-sectional design and the cause-effect relationship between shoulder and neck pain and its risk factors could not be established. Another limitation was using self-report manner for shoulder and neck pain reported by children and their parents. Although other studies also used this procedure of data collection [55, 56], the use of a subjective measurement without a physical examination is not sufficient for the assessment of prevalence of neck and shoulder pain. This is the limitation of RULA checklist that does not consider angles of side bending and twisting and also only takes one posture into account for those students who have a high amount of displacement in class.

Conclusion

The prevalence of neck and shoulder pain was high in the studied population. Unsuitability of school furniture, too much homework, difficulty in viewing the classroom board, and improper sitting positions of students are related to this health problem. Therefore, the proper interventions, considering the risk factors assessed in this study are suggested.