Psychological Risk Factors for Functional Somatic Disorders

December 1, 2022 updated by: University of Aarhus

Are Neuroticism, Perceived Stress, and Adverse Life Events Risk Factors for Functional Somatic Disorders: DanFunD

The objective of this study is to explore the role of neuroticism, perceived stress, and adverse life events, respectively, in the development and perpetuation of functional somatic disorders.

Study Overview

Detailed Description

Functional somatic disorders (FSD) are common disorders with a multifactorial aetiology involving biological, social, and psychological factors. An often used explanation of the illness mechanisms behind FSD which is provided to the patients is, that FSD may be understood as a multi systemic physical response to stress. This relationship can be modelled as proposed in the Cognitive Behavioural Therapy (CBT) model of emotional distress where several cognitive, behavioural and psychological factors are thought to contribute to the onset and perpetuation of FSD. Personality traits e.g. neuroticism contribute to give rise to our cognitive, behavioural, and psychological reactions. Furthermore, neuroticism with its heightened reactivity to stressors, has shown to be an important predictor of a generic vulnerability to both physical and psychological conditions. Having been exposed to previous adverse life events/traumas and childhood adversities has also showed to impact the risk of having FSD. This relationship has been proposed to be induced by a heightened response to stimuli, i.e. sensitisation, caused by physical and emotional distress triggering a hormonal cascade in the hypothalamus pituitary adrenal (HPA) axis.

So far, most studies into these aspects have been carried out in selected patient samples, and general population-based studies including a large randomly obtained sample are sparse. In three recent population-based studies, strong associations between FSD and neuroticism, perceived stress, and the accumulated number of experienced adverse life events (ALE), respectively, have been established. However, these studies were cross-sectional, thereby not providing insight to whether these factors were risk factors of FSD. More studies are needed for further elucidation on these aspects.

Objective The objective of this study is to explore the role of neuroticism, perceived stress, and the accumulated number of ALE, respectively, in the development and perpetuation of FSD.

Hypotheses

  1. Higher neuroticism, higher perceived stress, and higher number of ALE at baseline are individual risk factors of having developed FSD in the 5-year period from baseline to follow-up:

    FSD non-case at baseline → FSD case at follow-up

  2. Neuroticism, perceived stress, and the accumulated number of ALE positively contribute to the perpetuation of FSD from baseline to follow-up:

FSD case at baseline → FSD case at follow-up

Analytical plan All analyses will be performed using STATA version 17.0. Descriptive statistics will be presented for all the three continuous explanatory variables across FSD diagnoses. Depending on data distribution, descriptive statistics will be presented as means and standard deviations or medians and interquartile ranges.

Depending on number of incident and perpetuating cases at follow-up, a range of analyses will be conducted with the purpose of investigating if higher neuroticism, higher perceived stress, and higher accumulated number of ALE at baseline

  1. are individual risk factors for the development of FSD from baseline to follow-up
  2. are positively contributing to the perpetuation of an FSD from baseline to follow-up

The first choice of analyses For hypothesis one, multiple logistic regression models will be performed with incident FSD cases at follow-up as primary outcome and baseline neuroticism, perceived stress, and accumulated number of ALE as explanatory primary variables. The effect of neuroticism, perceived stress, and the accumulated number of ALE will be reported from the same analysis as the effect when controlled for the effect from the other primary explanatory variables. Odds ratio (OR) with 95% confidence intervals (CI) will be used as measure of association; an OR > 1 supports the hypothesis. The reference group will constitute participants without FSD at both baseline and follow-up. Reference value of neuroticism, perceived stress, and the accumulated number of ALE will be set as the median value of the total sample. In each analysis there will be controlled for the confounding effect of sex (with male as reference) and age (the median value of the total sample).

For hypothesis two, multiple logistic regression models will be performed with FSD cases perpetuating from baseline to follow-up as primary outcome and baseline neuroticism, self-perceived stress, and accumulated number of ALE as primary explanatory variable. The effect of neuroticism, perceived stress, and the accumulated number of ALE will be reported from the same analysis as the effect when controlled for the effect from the other primary explanatory variables. Odds ratio (OR) with 95% confidence intervals (CI) will be used as measure of association; an OR > 1 supports the hypothesis. The reference group will constitute participants with FSD at baseline but without FSD at follow-up. Reference value of neuroticism, perceived stress, and the accumulated number of ALE will be set as the median value of the total sample. In each analysis there will be controlled for the confounding effect of sex (with male as reference) and (the median value of the total sample).

The second choice of analyses

If number of incident and perpetuated cases at follow-up are too low to perform the above multiple logistic regression models with incorporation of the three primary explanatory variables in one analyses per FSD definition, it will be investigated if the confounding primary explanatory variables can be reduced into one variable and incorporated in separate analyses instead. Hence, instead of performing one analysis per FSD definition, three logistic regression analyses will be performed for each FSD definition:

  1. An analysis investigating the effect of baseline neuroticism (primary explanatory variable) as risk factor for incident FSD/contributor to perpetuating FSD (primary outcome) with adjustment for 1) perceived stress and the accumulated number of ALE reduced into one variable, 2) sex, and 3) age.
  2. An analysis investigating the effect of baseline perceived stress (primary explanatory variable) as risk factor for incident FSD/contributor to perpetuating FSD (primary outcome) with adjustment for 1) neuroticism and the accumulated number of ALE reduced into one variable, 2) sex, and 3) age.
  3. An analysis investigating the effect baseline accumulated number of ALE (primary explanatory variable) as risk factor for incident FSD/contributor to perpetuating FSD (primary outcome) with adjustment for 1) neuroticism and perceived stress reduced into one variable, 2) sex, and 3) age.

To find out if the confounding primary explanatory variables can be reduced into one variable, principal component analyses will be performed.

The third choice of analyses If the second set of analyses cannot provide us with meaningful variables describing the primary explanatory variables, separate logistic regression analyses investigating the effect of neuroticism, perceived stress, and the accumulated number of ALE, respectively, will be performed with pre-defined prioritisation of confounders. The prioritisation will be as follows (depending on the primary explanatory variable): 1) neuroticism, 2) perceived stress, 3) accumulated number of ALE, 4) sex, and 5) age.

Study Type

Observational

Enrollment (Actual)

7493

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 84 years (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

A total of 28773 participants were randomly drawn from the adult general Danish population by means of the the Danish Civil Registration system.

The DanFunD baseline cohort comprises a total of 9,656 (33.7% of invited participants) men and women aged 18-76 years, born in Denmark, and living in the Western part of greater Copenhagen.

The follow-up cohort (gathered in the years 2018-2020) consists of participants all born in Denmark, between 24 and 84 years of age. The follow-up cohort constitutes data from self-reported questionnaires (n=4,288) and diagnostic interviews data (n=1,094).

Description

Inclusion Criteria:

- None

Exclusion Criteria:

  • Not born in Denmark
  • Not being a Danish citizen
  • Pregnancy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
DanFunD baseline
The baseline cohort (gathered in the years 2012-2015) is a random sample selected through the National Civil Registration system among people living in 10 municipalities in the western part of greater Copenhagen, Denmark, ages 18 to 76 years. The baseline cohort constitutes data from self-reported questionnaires (n=7,493) and diagnostic interviews data (n=1,590).
DanFunD 5-years follow-up investigation
The follow-up cohort (gathered in the years 2018-2020) consists of participants all born in Denmark, between 24 and 84 years of age. The follow-up cohort constitutes data from self-reported questionnaires (n=4,288) and diagnostic interviews data (n=1,094).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Questionnaire-defined Functional somatic disorder at baseline
Time Frame: At the DanFunD baseline investigation
Participants fulfilling the diagnostic criteria of the unifying diagnostic concept Bodily Distress Syndrome single- and multi-organ type will be defined with self-reported questionnaires.
At the DanFunD baseline investigation
Interview-based Functional somatic disorder at baseline
Time Frame: At the DanFunD baseline investigation
Participants fulfilling the diagnostic criteria of the unifying diagnostic concept Bodily Distress Syndrome single- and multi-organ type will be defined with diagnostic interviews.
At the DanFunD baseline investigation
Questionnaire-defined Functional somatic disorder at 5-year follow-up
Time Frame: At the DanFunD 5-year follow-up investigation
Participants fulfilling the diagnostic criteria of the unifying diagnostic concept Bodily Distress Syndrome single- and multi-organ type will be defined with self-reported questionnaires.
At the DanFunD 5-year follow-up investigation
Interview-based Functional somatic disorder at 5-year follow-up
Time Frame: At the DanFunD 5-year follow-up investigation
Participants fulfilling the diagnostic criteria of the unifying diagnostic concept Bodily Distress Syndrome single- and multi-organ type will be defined with diagnostic interviews.
At the DanFunD 5-year follow-up investigation
Irritable bowel at baseline
Time Frame: At the DanFunD baseline investigation
Participants fulfilling the diagnostic criteria for irritable bowel will be identified with self-reported questionnaires
At the DanFunD baseline investigation
Irritable bowel at 5-year follow-up
Time Frame: At the DanFunD 5-year follow-up investigation
Participants fulfilling the diagnostic criteria for irritable bowel will be identified with self-reported questionnaires
At the DanFunD 5-year follow-up investigation
Chronic widespread pain at baseline
Time Frame: At the DanFunD baseline investigation
Participants fulfilling the diagnostic criteria for chronic widespread pain will be identified with self-reported questionnaires
At the DanFunD baseline investigation
Chronic widespread pain at 5-year follow-up
Time Frame: At the DanFunD 5-year follow-up investigation
Participants fulfilling the diagnostic criteria for chronic widespread pain will be identified with self-reported questionnaires.
At the DanFunD 5-year follow-up investigation
Chronic fatigue at baseline
Time Frame: At the DanFunD baseline investigation
Participants fulfilling the diagnostic criteria for chronic fatigue will be identified with self-reported questionnaires.
At the DanFunD baseline investigation
Chronic fatigue at 5-year follow-up
Time Frame: At the DanFunD 5-year follow-up investigation
Participants fulfilling the diagnostic criteria for chronic fatigue will be identified with self-reported questionnaires.
At the DanFunD 5-year follow-up investigation

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Neuroticism score at baseline
Time Frame: Measured at baseline
Measured with the Danish version of the short-form NEO Personality Inventory (NEO-PI-Rsf). It includes 60 self-descriptive statements each rated with a five-point rating scale from "strongly disagree" to "strongly agree". For the domain neuroticism, a sum score of 12 items, each ranging from 12 to 60, is calculated and higher score indicates higher neuroticism.
Measured at baseline
Perceived Stress score at baseline
Time Frame: Measured at baseline
Measured with the Cohen's Perceived Stress Scale. It consists of 10 items each rated on a five-point rating scale from "never" to "very often". The sum score ranges from 0 to 40 and higher score indicates higher level of perceived stress.
Measured at baseline
The accumulated number of adverse life events score at baseline
Time Frame: Measured at baseline
Measured with the Danish version of the Cumulative Lifetime Adversity Measure (CLAM). CLAM obtains exposure to lifetime adversity by asking the respondents whether they have experienced 37 different adverse life events plus a possibility to add one other unnamed life event. For a positive answer to an event, a number of event score is calculated by adding age time-points and age ranges by simply counting age time-points and age ranges, i.e. an age range counted for one event and an age time-point counted for one event. The sum score ranging from 0 to 130 with higher score indicating higher number of adversities.
Measured at baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Per Fink, DMSc, Aarhus University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 10, 2011

Primary Completion (Actual)

January 4, 2021

Study Completion (Actual)

August 30, 2022

Study Registration Dates

First Submitted

November 8, 2022

First Submitted That Met QC Criteria

November 16, 2022

First Posted (Actual)

November 30, 2022

Study Record Updates

Last Update Posted (Actual)

December 5, 2022

Last Update Submitted That Met QC Criteria

December 1, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

IPD Plan Description

Restrictions apply to the availability of data according to Danish law, which means that data cannot be made publicly available. A request for collaboration or access to data can be sent to ckff@regionh.dk. An application for data should consist of a short synopsis of the study planned. Please see our website (www. danfund.org) for more information.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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