Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04526522 |
Other study ID # |
2019/599 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 1, 2010 |
Est. completion date |
September 2013 |
Study information
Verified date |
June 2021 |
Source |
Oslo Metropolitan University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Musculoskeletal pain is common and often occurs already in adolescence. To be able to target
future interventions that aim to prevent new episodes of MSK pain, more studies on modifiable
risk factors are necessary. In this prospective cohort study, already collected data from the
Fit Futures study will be used. The aim is to investigate if perceived social acceptance
among peers in the first year of high school is associated with musculoskeletal pain in the
last year of high school, and if this association is moderated by psychological distress.
Description:
Few studies have investigated social factors in association with musculoskeletal pain in
adolescents, such as perceived peer acceptance. Adolescence is a vulnerable period of life
when peer relations is important in order to develop social, emotional and behavioural
skills. Social relations have been linked to several health outcomes in previous studies.
Therefore, this study aims to investigate if social acceptance among peers is associated with
musculoskeletal pain in adolescents.
The research questions are:
1. Is there a significant association between perceived social acceptance among peers
during the first year of high school and persistent MSK pain two years later in
adolescents?
2. Is psychological distress an effect modifier of the relationship between perceived
social acceptance among peers during the first year of high school and MSK pain two
years later in adolescents?
Method:
This is a prospective cohort study using data from the Fit Futures (FF) study. Students from
the first year of high school were included at baseline in Fit Futures 1 (FF1) and followed
up for two years later in Fit Futures 2 (FF2). The students answered a comprehensive
questionnaire, including biological, psychological, and social variables. They also underwent
measurements of height and weight during school hours.
Baseline characteristics will be extracted from FF1 with data collected in the period
2010-2011. Baseline characteristics from adolescents who participated in the study and
adolescents who were lost to follow-up will be presented and compared. Information about age,
sex, parents socioeconomic status (SES), and body mass index (BMI), will be used to describe
the study sample and as potential confounders.
Social acceptance among peers was measured by five questions from the revised Norwegian
version of Self-perception Profile for Adolescent; scale for social competence and
psychological distress was measured by the Hopkins Symptoms Checklist-10.
Statistical analyses:
All statistical tests will be two-sided, and the nominal p-values will be reported. All
confidence intervals (CIs) will be reported as 95%. Preliminary analyses of frequencies,
missing data and normality will be conducted. The assumption of normal distribution will be
investigated using histograms and QQ-plots. Normally distributed data will be described with
means and standard deviations (SDs), skewed data will be presented with medians and ranges.
Categorical data will be reported as counts and percentages. All statistical analyses will be
conducted using SPSS statistical software (SPSS Inc, Chicago, IL, USA).
Participants with missing data on the outcome will be excluded from the analyses. Missing
data on the exposure variable will be handled by multiple imputations unless the missingness
is very low (<10%). A two-year incidence rate of participants who reports no MSK pain at
baseline and develops persistent MSK pain during the follow-up period will be calculated,
presented as percentage with 95% CI.
Logistic regression:
Main analyses will be conducted in a sample of adolescents that report no persistent MSK pain
at baseline. Secondary analyses will be conducted in the total sample regardless of pain
status at baseline. Binary logistic regression will be conducted with social acceptance among
peers as the exposure and persistent MSK pain as the outcome. Sex and chronic diseases will
be included as confounders.
Moderation analyses:
The moderation analysis will be performed as described by Hayes, using PROCESS macro model 1
in SPSS. In the analysis, social acceptance will be included as the exposure, MSK pain as the
outcome, and psychological distress as the possible effect modifier. Sex and chronic diseases
will be included as confounders. Regression coefficients and ORs will be presented in figures
and tables. Confidence intervals for the effect modifier will be constructed using a
bias-corrected bootstrap method with 5000 bootstrap samples.
Additional analyses:
Drop-out analyses will be conducted to explore possible attrition bias by comparing baseline
characteristics between participants lost to follow-up and responders at follow-up. The
chi-square test will be used for comparison of categorical variables, independent samples
t-test to compare normally distributed continuous variables, and Mann-Whitney U test to
compare data with skewed distribution.