Literature DB >> 27186149

Psychological predictors of headache remission in children and adolescents.

Marcel Carasco1, Birgit Kröner-Herwig1.   

Abstract

OBJECTIVE: Longitudinal studies on headaches often focus on the identification of risk factors for headache occurrence or "chronification". This study in particular examines psychological variables as potential predictors of headache remission in children and adolescents.
METHODS: Data on biological, social, and psychological variables were gathered by questionnaire as part of a large population-based study (N=5,474). Children aged 9 to 15 years who suffered from weekly headaches were selected for this study sample, N=509. A logistic regression analysis was conducted with remission as the dependent variable. In the first step sex, age, headache type, and parental headache history were entered as the control variables as some data already existed showing their predictive power. Psychological factors (dysfunctional coping strategies, internalizing symptoms, externalizing symptoms, anxiety sensitivity, somatosensory amplification) were entered in the second step to evaluate their additional predictive value.
RESULTS: Highly dysfunctional coping strategies reduced the relative probability of headache remission. All other selected psychological variables reached no significance, ie, did not contribute additionally to the explanation of variance of the basic model containing sex and headache type. Surprisingly, parental headache and age were not predictive. The model explained only a small proportion of the variance regarding headache remission (R(2) =0.09 [Nagelkerke]).
CONCLUSION: Successful coping with stress in general contributed to remission of pediatric headache after 2 years in children aged between 9 and 15 years. Psychological characteristics in general had only small predictive value. The issue of remission definitely needs more scientific attention in empirical studies.

Entities:  

Keywords:  children; headache disorders; longitudinal study; prediction; psychological factors; remission

Year:  2016        PMID: 27186149      PMCID: PMC4847608          DOI: 10.2147/AHMT.S97925

Source DB:  PubMed          Journal:  Adolesc Health Med Ther        ISSN: 1179-318X


Introduction

Biopsychosocial pain model

Biological, psychological, and social factors play an important role in the development and perpetuation of pain.1,2 The significance of psychosocial factors was demonstrated in several studies.3–5 Besides biological (hereditary) factors, cognitive, emotional, and behavioral variables play an important role in explaining the occurrence of pediatric headache.2,6,7 A 2012 study based on the same original dataset found a correlation between internalizing symptoms, anxiety sensitivity, self-acceptance, and somatosensory amplification (SSA) with pediatric headache.3

Headache remission

Only very few studies dealing with predictors of headache remission were found in the literature search. One longitudinal study tried to identify biological predictors of migraine remission with onset in childhood or adolescence.8 No significant predictors emerged in this clinical trial on 137 patients aged 3 to 17 years. A population-based study with 1,134 adult participants found “being married” and “diagnosed with diabetesas positive predictors for the remission of daily headache which was a quite unexpected finding.9 An examination of psychological factors as potential predictors for headache remission in children and adolescents so far had not been undertaken. Our prospective study examined whether selected psychological variables can explain additional variance regarding remission above certain control variables, for which some evidence had already been found regarding a remission of weekly headache in children and adolescents.

Control variables

Sex

There are sex differences regarding the prevalence as well as the risk factors for the incidence of headache.10–12 Female sex is a risk factor for the chronification of headache.13 A higher persistence of headache in girls versus boys was found in a population-based study with 2,025 participating children.14 Thus, a higher remission rate for boys compared to girls was expected.

Age

Increasing age of children is associated with an increase in headache prevalence.10,15 No studies addressing the possible association of age and remission of pediatric headache were found. We decided to include age into the model as an exploratory control variable.

Types of headache

Different predictors of incidence and prognosis were found for migraine and tension type headache (TTH).16,17 In an 8-year follow-up on a clinical trial including 100 children aged 4 to 18 years, Guidetti and Galli found a higher probability for the remission of TTH than for migraine.18 Another longitudinal study with a 20-year follow-up found the same results in a sample of 60 children: remission was observed in only 19% of the patients with migraine compared to a remission rate of 53% for TTH.19 In this study, a higher remission rate was expected for TTH compared to migraine.

Parental headaches

Parental headache can have an effect on the child on a biological as well as on a social level. On the one hand, serving as a role model, parents influence their child’s headache through the way they react to their own headache.20 On the other hand, a distinct genetic influence in headaches has been shown.21 Children whose parents suffer from headaches, have a higher probability to develop headaches themselves.3,22,23 A longitudinal study on a population-based sample of 55 adolescents revealed a lower remission rate of migraine, if an immediate family member also suffers from migraine.24 Thus, a negative correlation between parental headache and the remission of pediatric headache was to be expected.

Psychological predictors

Stress coping

Coping can be understood as the cognitive and behavioral effort to resolve a stressful situation.25,26 A connection between stress and pain exists, and is moderated by the way people cope with and react to pain.27 Dysfunctional coping can contribute to the persistence of pain, as children are not able to reduce the negative impact of stress on their pain experience.4,28 Passive and avoiding coping strategies can be seen as dysfunctional and are expected to reduce the probability of headache remission.

Internalizing symptoms

Following the definition of Achenbach,29 internalizing symptoms primarily include anxiety and depressive symptoms. A rather strong association between internalizing symptoms and pediatric headache was found in various studies.3,16 A higher level of internalizing symptoms was assumed to be associated with a lower chance for remission.

Externalizing symptoms

Externalizing symptoms in children, including aggressive behavior, anger, and hyperactivity, are correlated with headache.3,29 A connection between externalizing symptoms and the incidence30 and prevalence3 of pediatric headache has already been demonstrated in quite a few studies. We predicted a lower chance for remission in children with a higher level of externalizing symptoms.

Anxiety sensitivity

Anxiety sensitivity is a theoretical construct describing the fear of sensations associated with anxiety as symptoms of sympathetic activation are interpreted as dangerous and harmful.31 They are experienced as aversive and induce anxiety.32 A positive correlation between anxiety sensitivity and the incidence of headache has been shown in several studies.33–35 A possible connection between anxiety sensitivity and remission of headache seemed possible and was therefore examined.

SSA

SSA is a neighboring construct described as a tendency to experience somatic sensations as being particularly strong and disturbing.36 Earlier studies mainly examined the connection between SSA and chronic pain in adults.37,38 A connection between SSA and the prevalence of headache in children seems to exist.3 Our study aims at examining its contribution to headache remission for the first time.

Methods

Study design and sample

This study is part of the project “Children, adolescents and headache” conducted at the University of Göttingen, Germany. For this epidemiological longitudinal study, a total of 8,800 families having at least one child aged between 7 and 14 years, were randomly chosen from the public registries. Starting in the year 2003, these families received four yearly questionnaires addressed to the children as well as to the parents. The participants were asked to answer questions concerning their headaches, other pain, pain-related behaviors, and various psychosocial factors and conditions. The study design was approved by the ethical commission of the German Society for Psychology. Parents and children were fully informed about the research issues and study procedures. They were free to take part in the study and implied consent by sending in the questionnaires by mail. A more detailed description of the study design can be found in the article by Kröner-Herwig et al.39 Only children (at least 9 years old) having completed their own questionnaire and with a matching parental questionnaire available were included. From this original dataset, a subset of the children suffering from weekly headache in wave two was selected. Cases with incomplete or inconsistent data were excluded (Figure 1). The selected sample consisted of N=509 children; 61.5% female and 38.5% male. The mean age was M=12.0 years (standard deviation =1.1 years). The youngest child in wave 2 was 9 years old and the oldest was 15 years old. The sample size can vary in different analyses due to missing values in the variables of interest.
Figure 1

Sample selection.

Operationalization of the dependent variable “headache”

The participating children were asked whether they had ever experienced headaches during the last 6 months. If they had, information regarding frequency, intensity, duration, and accompanying symptoms was assessed. The questionnaire was designed based on systematics of the second edition of the International Classification of Headache Disorders (ICHD-II; IHS, 2004). It allowed a differentiation between migraine and TTH.40 The 505 children having had at least one headache per week in wave two (6-month reference period) constituted the sample of “recurrent headache” examined for remission in wave 4 (2 years later). Remission was defined by the response “no headaches” or “less than once per month” (in wave 4). Otherwise the category “no remission” was attributed.

Operationalization of the predictors

Control variables

The data from the parental questionnaire (wave 1) were used to determine sex and age of the children. Headache type of the children was operationalized following the criteria of the ICHD-II.41 Only migraine and TTH were differentiated leaving a category of “uncategorizable headache”, not fulfilling one or more criteria for migraine or TTH. Parental headache was defined as a binary variable with the categories “at least weekly headache” and “less than weekly headache”. Data from the parental self-report questionnaire were used where parents had been asked about their headache frequency on a 4-point scale ranging from “no headache” to “at least weekly headache”.

Psychological variables: dysfunctional coping, internalizing, externalizing, anxiety sensitivity, and SSA

A limited number of items were taken from the the original validated psychometric tests (eg, Stresscoping test) because it was not practical to include the complete tests, and used for the assessment of these trait variables. Instead, a subsample of items were extracted from tests based on their item test correlation. Good to satisfying homogeneity of the shortened scales was found.3 In a subsample of 250 children, high correlations of the shortened and the complete versions of the different scales (0.74≤r≤0.96) were demonstrated.23 Dysfunctional coping was defined as a high score on the “habitual negative coping style” scale consisting of five items from the “Stressverarbeitungsfragebogen” (stress coping questionnaire).42 Two items referred to aggression and one item each to passive avoidance, continued mental preoccupation, and resignation. The internal consistency of the shortened scale reached an α=0.76.3 Information on internalizing and externalizing symptoms was collected using items from the Youth Self Report.43 Eight items referring to anxiety/depression were selected from the sub-scale for internalizing symptoms. Six items referring to hyperactivity and aggressive behavior were taken from the sub-scale for externalizing disorders. The original 3-point scale of the items was transformed into a 5-point scale to guarantee better comparability with the other items of the questionnaire. With a Cronbach’s alpha of 0.9 for internalizing and 0.8 for externalizing symptoms, the scales showed a high internal consistency.3 Five items selected from the Anxiety Sensitivity Index44 were used to assess the anxiety sensitivity of the children (α=0.7).3 SSA was assessed using four items from the Somatosensory Amplification Scale45 asking the children about their personal impairment caused by unpleasant somatic sensations. However, the internal consistency of this scale was not fully satisfactory (α=0.6).3

Statistical analysis

The main analysis consisted of a multiple logistic regression with “remission” as the dependent variable. Following Hosmer and Lemeshow,46 at least ten subjects per parameter of the regression model are required in each category of the dependent variable. In the present sample, 109 subjects belonged to the category “remission”, 368 children did not show headache remission in wave 4. Consequently, a maximum of nine predictors could be included in the analysis. According to the theoretical reflections presented earlier, the following predictors were included: the four control variables sex, age, headache type, and parental headache were included in a first block, and the five psychological predictors anxiety sensitivity, SSA, dysfunctional coping, internalizing, and externalizing symptoms in a second one. Medication (preventive/abortive) was not used in the regression analysis, since it did not correlate significantly with the dependent variable (all P<0.20). Being a partly exploratory analysis, a stepwise (backward) procedure was used as recommended by Field.47 All analyses were conducted using IBM SPSS Statistics 21 (IBM Corporation, Armonk, NY, USA). The significance threshold was set at P=0.05 for all analyses.

Results

Descriptive data

In the original sample in wave 2 (n=4,164; Figure 1) 19.8% were suffering from at least weekly headache in the past 6 months. More girls were suffering from headaches (23.8%) than boys (15.5%). TTH occurred in 7.8% of the subjects, migraine in 4.2% and non-categorizable headache was found in 7.8% (Table 1).
Table 1

Prevalence and remission rates depending on sex and headache type (%)

TotalSex
Headache type
MaleFemaleTTHMIGNCH
Prevalence19.7515.5123.847.774.197.84
Remission rate22.8531.7717.2621.2413.0829.65

Abbreviations: TTH, tension type headache; MIG, migraine; NCH, non-categorizable headache.

At the wave 4 assessment time-point, remission had occurred in 109 children equating to a remission rate of 23.9%. The remission rate was higher in boys (31.8%) than in girls (17.3%). Remission rates were lowest for migraine (13.1%), higher for TTH (21.2%), and highest for non-categorizable headache (Table 1). The mean values of the psychological variables were found in the low and middle range of the 5-point rating scales (1.53≤M≤2.4; Table 2).
Table 2

Psychological predictors: descriptive statistics

PredictorsNM#SDMin–Max
NH coping style5022.390.771.00–4.80
INT symptoms4951.870.651.00–4.25
EXT symptoms4921.840.561.00–3.88
AS5051.530.581.00–4.50
SSA5052.020.661.00–5.00

Note:

Data are mean item score of the specific variable, 5-point rating scales.

Abbreviations: NH, negative habitual; INT, internalizing; EXT, externalizing; AS, anxiety sensitivity; SSA, somatosensory amplification; M, mean; SD, standard deviation; Min, minimum; Max, maximum.

Results of the logistic regression

The regression model explained 9% of the observed variance in the variable remission (Nagelkerke =0.09; Table 3). Sex was a significant predictor of headache remission. The probability of remission was twice as high for boys than girls (odds ratio [OR] =2.18; P=0.001). Headache type also predicted headache remission. A remission was approximately 1.8 times less probable for TTH (OR =0.6; P=0.02) and approximately 2.6 times less probable for migraine compared to non-categorizable headache (Table 3). Age and parental headache were not significant predictors of headache remission and thus not included in the model.
Table 3

Logistic regression model with the included predictors (P≤0.05)

PredictorsB (SD)P-valueOdds ratio (95% CI)
Constant−1.11 (0.20)
Sex (ref: female)0.78 (0.23)0.0012.18 (1.38–3.42)
TTH (ref: other headache)−0.60 (0.25)0.0180.55 (0.34–0.90)
MIG (ref: other headache)−0.96 (0.34)0.0040.38 (0.20–0.74)
NH coping style−0.24 (0.12)0.0390.78 (0.62–0.99)
Total modelχ2(6)=30.00, P<0.001; R2=0.09 (Nagelkerke)

Note: Multiple logistic regression analysis with “remission” as dependent variable using a stepwise (backward) procedure with two blocks was performed.

Abbreviations: TTH, tension type headache; MIG, migraine; NH, negative habitual; ref, reference category; SD, standard deviation.

Of the five psychological predictors that were considered, only dysfunctional coping contributed to the prediction of headache remission (OR =0.8; P=0.04). A reduction by 1 point on the scale for negative habitual coping styles was associated with a 1.3 times higher probability for headache remission (Table 3). All predictors were analyzed for multi-collinearity using the variance inflation factors. All variance inflation factors showed values smaller than 10. Following Field,47 multi-collinearity was no problem in this analysis. The highest correlation between two predictors was found between negative habitual coping style and internalizing symptoms, r=0.7; P<0.01. All other correlations were smaller than r=0.50 (Table 4).
Table 4

Intercorrelations of all predictors and control variables

Predictors123456789
1. Sex0.10*0.05−0.050.23**0.28**−0.14**0.17**0.12**
2. Age0.010.060.25**0.25**0.20**0.030.06
3. Headache type−0.050.14**0.13**0.020.14**0.16**
4. Parental headache0.050.030.030.060.01
5. NH coping style0.68**0.21**0.29**0.40**
6. INT0.23**0.38**0.40**
7. EXT0.020.09*
8. AS0.44**
9. SSA

Note:

P≤0.05,

P≤0.01.

Abbreviations: NH, negative habitual; INT, internalizing; EXT, externalizing; AS, anxiety sensitivity; SSA, somatosensory amplification.

Discussion

Key results and interpretation

As expected, a significant association between the remission of pediatric headache and the control variables sex and headache type was confirmed. Male sex was a positive predictor of headache remission, ie, boys tended to show more headache remission than girls. The higher probability of remission in boys compared to girls matches the findings of Laurell et al.48 Additionally, incidence and prevalence rates are higher in girls than in boys.10–12 The unfavorable prognosis for migraine compared to TTH and other types of headache also matches the findings in other studies.18,19 In general, headache is a bigger problem in girls than in boys. Remission is less probable for migraine as compared to TTH. A headache syndrome not fulfilling the criteria of migraine nor TTH had the best chances for remission in this study. Against all expectations, no connection between age and parental headache with headache remission was found. The observation of Monastero et al24 that a lower probability of migraine remission is associated with having a parent who is also suffering from headaches were not confirmed by our data. A familial influence on remission was neither seen in tension type nor in non-catagorizable headache. A correlation between increasing age and increasing prevalence10,15 and a lower success rate of therapeutic intervention49 had been shown, but no correlation with headache remission could be demonstrated in this study. While none of the other considered psychological variables (internalizing and externalizing symptoms, anxiety sensitivity, and SSA) contributed significantly to the prediction of headache remission, dysfunctional coping with stress was identified as a predictor. The less dysfunctional coping strategies children reported at the assessment time, the more probable was a remission of their headache. This regression model was able to explain 9% of the variance of the dependent variable “remission”, R2=0.09 (Nagelkerke) compared to 8% explained by the model containing only the control variables. Coping with stress is the only psychological predictor of headache remission that could be confirmed by this study. If stress cannot be resolved in an adequate way and a negative coping style is frequently used, the probability of headache remission is significantly reduced. Inversely, the use of adequate coping strategies should increase the probability of headache remission. This finding supports the ideas of Houle and Nash expressed in their review50 of a close connection between stress and headache. They particularly consider stress as a main factor for the chronification of headache. These findings point to the important role of relaxation techniques and teaching of coping strategies in the treatment of headaches, which have already been integrated as part of different therapeutic programs aiming at headache improvement.51 A meta-analysis conducted by Trautmann et al found that relaxation techniques were used in 27% of the included studies.52

Limitations

The regression model presented in this study only explains a rather small part of the variance observed regarding headache remission. Thus, the psychological predictors having been measured 2 years before the critical assessment period of remission did not have a large impact on this procedural feature of headache. It must be assumed that a lot of factors not considered in this study might also play an important role. Headache remission seems to be a phenomenon influenced by a complex combination of biological, social, and psychological factors, but methodological considerations prohibited the inclusion of more possible predictors. The final sample consisting of 509 children is relatively small for two reasons: we chose a relatively strict criterion for remission. To ensure that headache affection at baseline was of clinical significance, only children with at least weekly episodes were included, and only a less than monthly headache was allowed at the second assessment. The second reason relates to the 2-year instead of 1-year interval regarding the assessment of remission, which increases the general dropout rate in the long term compared to a 1-year period. Due to the size of the sample, differential analysis regarding sex or headache type did not appear appropriate on a statistical level. Still, the predictors (or their impact) for pediatric headache remission might differ depending on sex and headache type. A possible methodological problem arises from the use of retrospective questionnaires asking about headache experiences during the last 6 months. A study comparing headache diaries and questionnaires showed that children tend to overestimate the intensity and duration of headache in retrospective questionnaires.53 The retrospective assessment of headaches may have resulted in distorted prevalence14 and remission rates. However, the use of a binary-dependent variable should have reduced the error induced variance. An assessment using diaries instead of questionnaires as recommended by Van den Brink et al,53 would have demanded a half year of self-monitoring in each of the two study periods, which without doubt would have reduced the respondents to nearly nil, given that no bonus for the participants could be offered. The different predictors had been tested for multi-collinearity before conducting the logistic regression. Even though the values of the variance inflation factor did not indicate a multi-collinearity problem following the criteria of Field,47 the relatively high correlation between the two predictors “negative habitual coping style” and “internalizing symptoms” needs to be considered. This high correlation can be explained by the operationalization of the two predictors: the traits “passive avoidance”, “continued mental preoccupation”, and “resignation” overlap considerably with depression contained in the variable “internalizing symptoms”. Possibly, “internalizing symptoms” could have been a significant predictor in a model without the predictor “negative habitual coping styles”. Nevertheless, “negative habitual coping style” is obviously the stronger predictor in this dataset. Altogether, pediatric headache remission is difficult to predict. The selected psychological variables had only little prognostic value under these particular assessment conditions. We obviously need many more research attempts to explore influencing factors of headache remissions in different age grades, with different headache types, over different time intervals, in different samples, and with different biopsychosocial variables as predictors.
  38 in total

Review 1.  Learning about pain from others: an observational learning account.

Authors:  Liesbet Goubert; Johan W S Vlaeyen; Geert Crombez; Kenneth D Craig
Journal:  J Pain       Date:  2010-11-26       Impact factor: 5.820

2.  Personality traits related to chronic pain location.

Authors:  Robert J Gregory; John Manring; Michael J Wade
Journal:  Ann Clin Psychiatry       Date:  2005 Apr-Jun       Impact factor: 1.567

3.  Prevalence of headache and migraine in children and adolescents: a systematic review of population-based studies.

Authors:  Ishaq Abu-Arafeh; Sheik Razak; Baskaran Sivaraman; Catriona Graham
Journal:  Dev Med Child Neurol       Date:  2010-09-28       Impact factor: 5.449

4.  Headache prevalence among adolescents--the German DMKG headache study.

Authors:  K Fendrich; M Vennemann; V Pfaffenrath; S Evers; A May; K Berger; W Hoffmann
Journal:  Cephalalgia       Date:  2007-04       Impact factor: 6.292

5.  Clinical features, classification and prognosis of migraine and tension-type headache in children and adolescents: a long-term follow-up study.

Authors:  C Kienbacher; C Wöber; H E Zesch; A Hafferl-Gattermayer; M Posch; A Karwautz; A Zormann; G Berger; K Zebenholzer; A Konrad; C Wöber-Bingöl
Journal:  Cephalalgia       Date:  2006-07       Impact factor: 6.292

6.  Somatosensory amplification and affective inhibition are elevated in myofascial face pain.

Authors:  K G Raphael; J J Marbach; R M Gallagher
Journal:  Pain Med       Date:  2000-09       Impact factor: 3.750

7.  The amplification of somatic symptoms.

Authors:  A J Barsky; J D Goodson; R S Lane; P D Cleary
Journal:  Psychosom Med       Date:  1988 Sep-Oct       Impact factor: 4.312

8.  Risk factors for headache in children.

Authors:  Jennifer Gassmann; Nuria Vath; Hester van Gessel; Birgit Kröner-Herwig
Journal:  Dtsch Arztebl Int       Date:  2009-08-03       Impact factor: 5.594

9.  Biopsychosocial correlates of headache: what predicts pediatric headache occurrence?

Authors:  Birgit Kröner-Herwig; Lisette Morris; Marion Heinrich
Journal:  Headache       Date:  2007-11-27       Impact factor: 5.887

10.  One-year course of paediatric headache in children and adolescents aged 8-15 years.

Authors:  J Gassmann; L Morris; M Heinrich; B Kröner-Herwig
Journal:  Cephalalgia       Date:  2008-08-22       Impact factor: 6.292

View more
  2 in total

Review 1.  Nonpharmacological Interventions Addressing Pain, Sleep, and Quality of Life in Children and Adolescents with Primary Headache: A Systematic Review.

Authors:  Susanne Hwiid Klausen; Gitte Rønde; Birte Tornøe; Lene Bjerregaard
Journal:  J Pain Res       Date:  2019-12-23       Impact factor: 3.133

2.  Negative effects of accompanying psychiatric disturbances on functionality among adolescents with chronic migraine.

Authors:  Tugba Uyar Cankay; Mert Besenek
Journal:  BMC Neurol       Date:  2021-03-03       Impact factor: 2.474

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.