Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04575974 |
Other study ID # |
2019/517B |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 2006 |
Est. completion date |
February 2019 |
Study information
Verified date |
September 2021 |
Source |
Oslo Metropolitan University |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Experiencing an episode of musculoskeletal (MSK) pain in young age significantly increases
the risk of developing MSK pain later in life. Consequently, knowledge on modifiable risk
factors early in life is needed. In this prospective cohort study, data from the
population-based Nord-Trøndelag Health Study (HUNT) will be used to investigate whether a
combination of lifestyle factors in adolescence is associated with persistent MSK pain in
young adulthood.
Description:
There is need for knowledge on modifiable risk factors for MSK pain in young ages to better
target treatment and preventive. A combination of lifestyle factors has been associated with
several health issues including MSK pain in adults, but has to the best of our knowledge not
previously been investigated as a risk factor for MSK pain in the youth.
OBJECTIVE The objective of this study is to investigate whether a combination of lifestyle
factors in adolescence is associated with later persistent MSK pain in young adulthood.
Lifestyle factors will be assessed by combing levels of physical activity, sleep problems,
fruit/vegetable consumption, alcohol consumption, use of drugs and smoking.
The analysis will be conducted in a sample of adolescents with MSK pain, and in a sample of
adolescents without MSK pain in the first survey, separately.
STUDY DESIGN AND PLAN This study will be a prospective cohort study using data from the large
population-based Nord Trøndelag Health Study (HUNT). Data from YoungHUNT3 (2006-2008) and
HUNT4 (2017-2019) will be used, including the same participants examined With 11-year
follow-up. The data in Young-HUNT 3 was collected through questionnaires, interviews and
measurements during school time. Adolescents, who did not attend school, received an
invitation to participate by mail. The outcome data was obtained by electronic questionnaire
or paper from HUNT 4.
EXPOSURE VARIABLE A combined lifestyle variable will be composed based on scorings in the
lifestyle variables physical activity level, sleep problems, fruit/vegetable consumption,
alcohol consumption, drug use and smoking level from Young-HUNT3, which will all be
categorized as healthy/ unhealthy (as defined below). The combined lifestyle variable will be
arranged with 0/1 unhealthy lifestyle factors present as the reference category, and 2
factor, 3 factors and ≥4 unhealthy lifestyle factors present as the other categories. The
combined variable will be investigated with different thresholds of alcohol consumption.
- Physical activity level: less than 2-3 days a week with sports or exercise is classified
as a unhealthy level.
- Sleep problems is measured by two questions; one of whether the adolescents have
problems falling asleep at night and one of whether the adolescents wake up early and
have problems falling asleep again. Answering "often" or "almost every night" on one or
both of these questions is classified as unhealthy.
- Fruit / vegetables consumption is measured by questions of consumption frequency.
Answering "several times a day" on both questions will be considered a sufficient
consumption.
- Alcohol consumption is measured by a question of whether the participants have ever
tried to drink alcohol, and a question of whether the participants have ever been
drinking so much that they have felt intoxicated (drunk). Those who have never tried
drinking alcohol or have been intoxicated ≤10 times will be classified as healthy.
Reporting >10 intoxications will be classified as unhealthy.
- Use of drugs: those who answer that they have tried hash, marijuana or other drugs will
form the unhealthy group.
- Smoking will be dichotomized with no smokers in the healthy group and daily and
occasional smokers in the unhealthy group. Previously smokers will be included in the no
smoking group.
CONFOUNDING FACTORS
Background factors
- Sex
- Age
- Perceived family economic
Health factors
- Psychological distress, measured by the Symptom Checklist-5.
- Other chronic diseases, including asthma, diabetes, migraine and/or epilepsy
- Pain impact on daily activities at baseline (in the analyses of the sample with MSK pain
at baseline only)
- Number of pain sites at baseline (in the analyses of the sample with MSK pain at
baseline only)
(Additional analyses will be conducted with adjustment for BMI, measured by kg/m2).
ANALYSIS METHODS Statistical tests will be two-sided, and p-values <0.05 will be considered
statistically significant. P-value and the 95% confidence intervals will be reported. All
continuous variables will be investigated for normality through histograms and QQ-plots.
Normally distributed descriptive data of study participant will be presented with means and
standard deviations (SD), skewed data will be presented with median and ranges and
categorical data will be presented as counts and percentages. The analysis will be conducted
with STATA statistical software system.
Missing data:
For missing data on the exposure variable and confounding factors, multiple imputation will
be considered. Variables with more than 20% missing data will be excluded. Participants with
missing outcome data will be excluded from the analyses. Characteristics of the individuals
lost to follow-up will be compared to characteristics of responders at follow-up.
Incidence and prevalence:
The prevalence and incidence rate of MSK pain will be presented.
Logistic regression:
Logistic regression will be used to investigate the association between combined lifestyle
factors in adolescence and persistent MSK pain in young adulthood. The combined lifestyle
factor variable will be investigated with different thresholds of alcohol consumption. The
associations will be investigated in unadjusted and adjusted analyses. The adjusted analyses
will be conducted first with adjustment for background factors, second with adjustment for
background factors and health factors. There will be conducted additional analyses with
adjustment for BMI (kg/m2). The results will be reported as odds ratios (ORs) with 95%
confidence intervals.
Sub-group analyses:
There will be conducted subgroup analyses for girls and boys separately, if there is a
sufficient number of participants.