ObjectivesThe potential effects of physical activity and sedentary time on children’s increasing neck and shoulder pain are unclear. The aim of this cross-sectional study was to evaluate the associations between objectively measured physical activity or sedentary time and neck and shoulder pain in children.MethodsChildren (n=905; 10–15 years old) filled in an electronic questionnaire during school hours on the frequency of their neck and shoulder pain. Daytime moderate to vigorous physical activity and sedentary time were measured objectively with an ActiGraph accelerometer. A multinomial logistic regression was applied to study the associations. The results were adjusted for age, gender, body mass index and bedtime.ResultsNeck and shoulder pain experienced at least once a week was reported by 26.1% of children. A higher proportion of boys (45.9%) than girls (24.2%) achieved at least 60 min of moderate to vigorous physical activity/day (p<0.001). Girls were more sedentary than boys (sedentary time 66.4 vs. 63.1%) (p<0.001). Higher moderate to vigorous physical activity time was associated with a lower probability of experiencing neck and shoulder pain among boys, but not among girls. No association was found between sedentary time and neck and shoulder pain.ConclusionsA quarter of the girls and boys reported frequent neck and shoulder pain. Boys achieved more moderate to vigorous physical activity than girls and higher moderate to vigorous physical activity was associated with a lower probability of having neck and shoulder pain, but only in boys. Neck and shoulder pain is the most common musculoskeletal pain and its prevalence is increasing. Preventing childhood pain is important, as neck and shoulder pain causes restrictions in daily living and is persistent to adulthood. Our study showed, that boys with more moderate to vigorous physical activity, had less weekly neck and shoulder pain symptoms. The present results are an addition to the list of benefits of physical activity and are valuable to, for example, healthcare personnel and teachers, who guide and teach children and adolescents. Families can benefit from new knowledge when considering supportive parenting activities. Municipalities can use the new information to design services for children or families.

Abstract Background and aims There is a growing body of evidence, that pain is common at school age. Less is known about the repeatability of pain questionnaires for children. This study aimed to assess the test-retest repeatability of the Finnish version of the electronic pain questionnaire for school-aged children. Methods Primary (n = 79) and lower secondary (n = 127) schoolchildren aged 10–15 years from two schools from the Jyväskylä region of Finland, filled in an electronic questionnaire twice in an interval of 2 weeks. It captured the frequency of pain symptoms with a five-point Likert-scale questionnaire covering nine areas of the body for the last 3 months. The intraclass correlation coefficient (ICC) values 0.40–0.59 reflected fair and 0.60–0.74 good repeatability. Results The highest prevalences of pain were in the head (29%) and neck and shoulder (NS) (23%) areas. ICC values showed good repeatability for questions about pain frequency in the head, NS and lower extremities. In primary school, these values were good in the lower extremities and fair in NS, lower back and the head. In lower secondary school, the ICC values were good in NS and the head, fair in the stomach and lower extremities. Conclusions This electronic questionnaire was an acceptably repeatable indicator to measure the frequency of pain in the most prevalent pain areas: the head and NS. Implications It is important to be aware of the impact of health-related outcomes on children’s ability to be successful in their lives. With the help of a simple electronic questionnaire, it is possible to cost-effectively capture, for example, the prevalence and frequency of pain during the school hours. The identification of children’s pain symptoms accurately provides more possibilities to prevent and to minimize the chronic pain among schoolchildren.

This study investigated the associations of accelerometer-measured physical activity, sedentary time and screen time with the incidence of neck and shoulder pain in school-aged children over a two-year follow-up. Children (aged 10–15) were measured at baseline 2013 (T0) (n = 970) and at follow-ups 2014 (T1) and 2015 (T2). Neck and shoulder pain frequency and screen time were determined with a web-based questionnaire. Daytime moderate to vigorous physical activity and sedentary time were measured with an accelerometer. Logistic regression was applied, and the results were adjusted for age, gender, body mass index and bedtime. Accelerometer-measured physical activity or sedentary time at baseline were not associated with the incidence of neck and shoulder pain at the two-year follow-up. Associations of neck and shoulder pain incidence with overall screen time (p = 0.020), and especially with passive gaming time (p = 0.036) and social media time (p = 0.023) were found at the first but not the second follow-up. The neck and shoulder pain incidence associated with overall screen time, passive gaming time and social media time at the first follow-up. The importance of limiting screen time, should be explored in order to find new approaches in preventing neck and shoulder pain in school-aged children.

Importance Multisite pain is a major adverse health outcome in the adolescent population, affecting the daily lives of up to every third adolescent and their families. Objective To 1) predict multisite pain incidence in the whole body and in the musculoskeletal locations in adolescents, and 2) explore the sex-specific predictors of multisite pain incidence with a novel machine learning approach. Design A 2-year observational study (2013-2015). Three different baseline data sets were utilized to predict multisite pain incidence during the follow-up. Setting Population-based sample of Finnish adolescents. Participants Apparently healthy adolescents. Exposures The first data set included 48 selected baseline variables relevant for adolescents health and wellbeing. Data included information on students self-reported, objectively measured, and device-based demographics, physical and psychosocial characteristics, and lifestyle factors. The second data set included nine physical fitness variables related to the Finnish national Move! monitoring and surveillance system for health-related fitness. The third data set included all available baseline data (392 variables). Main Outcome and Measures Onset of multisite pain (=weekly pain during the past three months manifesting in at least three sites and not related to any known disease or injury) during the 2-year follow-up in the whole body or musculoskeletal locations. Musculoskeletal pain sites included the neck/shoulder, upper extremities, chest, upper back, low back, buttocks, and lower extremities. Whole body pain sites also the head and abdominal areas. A machine learning algorithm random forest was utilized. Results Among 410 participants (57% girls) aged on average 12.5-years (SD 1.2), sixteen percent of boys and 28.1% of girls developed multisite pain in the whole body and 9.6% and 15.3% in the musculoskeletal area during follow-up. The prediction ability of the machine learning approach with 48 predictive variables reached an AUC 0.65 at highest. With ML, a broad variety of predictors were identified, with up to 33 variables showing predictive power in girls and 13 in boys. Conclusions and Relevance Findings highlight that rather than any isolated variable, a variety of factors pose a risk for future multisite pain. More emphasis on holistic and multidisciplinary approaches is recommended to prevent multisite pain in adolescence.

Background and Aims: Neck and shoulder pain (NSP) is common in school age, but preventative factors have not been identified. The purpose was to study whether a fitness test could be used to predict the incidence of NSP and determine whether good physical fitness characters would be associated with lower NSP incidence in school-aged children at 2-year follow-up.Methods: After the invitation to nine schools, 970 children (10-15 years old) agreed to participate. Flexibility, fundamental movement skills, musculoskeletal fitness, and cardiorespiratory fitness measurements included in Finnish Schools on the Move! monitoring system for physical functional capacity were measured at baseline in 2013. The NSP incidence was assessed by an online survey during school hours after 1 and 2 years. Logistic regression was used to analyze associations between physical fitness characteristics and NSP incidence. Results:The mean prevalence of NSP was 26% at baseline. The NSP incidence was 15% in the first and 18% in the second follow-up year. Good physical fitness was not associated with lower NSP incidence in the 2-year follow-up. Successful lower back extension (odds ratio [OR] = 2.83) and good scores in curl-up (OR = 1.80) adjusted with age, gender, and body mass index, were associated with higher NSP incidence between T0 and T2. Throwing-catching combination (OR = 0.55) was associated with a lower NSP incidence in unadjusted analysis, but the association did not remain after adjustments. Conclusion:Good physical fitness characteristics were not consistently associated with a lower NSP incidence in school-aged children in a 2-year follow-up. The role of general field-based physical fitness test as a screening tool for NSP incidence remains unconfirmed. More longitudinal studies are needed to detect the factors underlying NSP incidence in school-aged children.