Test-retest repeatability of questionnaire for pain symptoms for school children aged 10–15 years

Pirnes, Katariina Pauliina; Kallio, Jouni; Siekkinen, Kirsti; Hakonen, Harto; Häkkinen, Arja; Tammelin, Tuija

doi:10.1515/sjpain-2018-0338

Cited by 4 publications

(10 citation statements)

References 16 publications

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“…As a part of a research related to the national "Finnish Schools on the Move" program 9,[19][20][21][22] , 1710 school-aged children in grades 4-7 across Finland were invited to participate in the study. Of these children, 970 participated (mean 12.5 years ± 1.3 years; 52.5% girls) and 684 (75.6%) provided information on all the study variables at baseline.…”

Section: Methodsmentioning

confidence: 99%

“…The participants completed a web-based questionnaire five times during school hours in 2013-2015 21 . The pupils answered the question: "How often have you had the following symptoms in the last three months?"…”

Section: Methodsmentioning

confidence: 99%

“…Children were also asked to report if the pain originated due to a trauma: "Have you injured any of the above-mentioned and pictured pain areas during the previous three months (for example, fallen, stumbled, breached during sport, etc.)?" 21 . Children who reported trauma during last three months in the neck and shoulder area were excluded from the analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Children who reported trauma during last three months in the neck and shoulder area were excluded from the analysis. The test-retest repeatability of the NSP questionnaire has been reported to be substantial (Kappa [κ] 0.68 for the 2-point scale and intraclass correlation coefficient [ICC] 0.67 for the 5-point scale) 21 .…”

Section: Methodsmentioning

confidence: 99%

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Physical activity, screen time and the incidence of neck and shoulder pain in school-aged children

Pirnes

Kallio

Hakonen

et al. 2022

Sci Rep

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Physical activity, screen time and the incidence of neck and shoulder pain in school-aged children

Pirnes

Kallio

Hakonen

et al. 2022

Sci Rep

Self Cite

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“…The current study has many strengths such as the prospective setting, large sample size, and a well repeatable web-based questionnaire as a self-report tool. 19 Associations have been studied broadly for different fitness characteristics and not only for one characteristic alone. To eliminate the effects of seasonal variation, the measurements were performed at the same time of year.…”

Section: Study Strengths and Limitationsmentioning

confidence: 99%

Physical fitness characteristics and neck and shoulder pain incidence in school‐aged children—A 2‐year follow‐up

Pirnes

Kallio

Hakonen

et al. 2022

Health Science Reports

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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.

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Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach: A 2‐Year Longitudinal Study

Joensuu,

Rautiainen,

Hautala

et al. 2024

Health Science Reports

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Background and AimsMultisite pain is a prevalent and significant issue among adolescents, often associated with adverse physical, psychological, and social outcomes. We aimed to (1) predict multisite pain incidence in the whole body and in the musculoskeletal sites in adolescents, and (2) explore the sex‐specific predictors of multisite pain incidence using a novel machine learning (ML) approach (random forest, AdaBoost, and support vector classifier).MethodsA 2‐year longitudinal observational study (2013–2015) was conducted in a population‐based sample of Finnish adolescents (N = 410, 57% girls, 12.5 years (SD = 1.2) at baseline). Three different data sets were used. First data included 48 pre‐selected variables relevant for adolescents' health and wellbeing. The second data included nine physical fitness variables related to the Finnish national ‘Move!’ monitoring system for health‐related fitness. The third data set included all available baseline data (392 variables). Multisite pain was self‐reported weekly pain during the past 3 months manifesting in at least three sites and not related to any known disease or injury. Musculoskeletal pain sites included the neck/shoulder, upper extremities, chest, upper back, low back, buttocks, and lower extremities. Whole body pain sites also included the head and abdominal areas.ResultsOverall, 16% of boys and 28% of girls developed multisite pain in the whole body and 10% and 15% in the musculoskeletal area during the 2‐year follow‐up. The prediction ability of ML reached area under the receiver operating characteristic curve 0.78 at highest but remained mainly < 0.7 for the majority of the methods. With ML, a broad variety of predictors were identified, with up to 33 variables showing predictive power in girls and 13 in boys.ConclusionThe results highlight that rather than any isolated variable, a variety of factors contribute to future multisite pain.

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Test-retest repeatability of questionnaire for pain symptoms for school children aged 10–15 years

Cited by 4 publications

References 16 publications

Physical activity, screen time and the incidence of neck and shoulder pain in school-aged children

Physical activity, screen time and the incidence of neck and shoulder pain in school-aged children

Physical fitness characteristics and neck and shoulder pain incidence in school‐aged children—A 2‐year follow‐up

Prediction of Multisite Pain Incidence in Adolescence Using a Machine Learning Approach: A 2‐Year Longitudinal Study

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