Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2018 Apr 1;48(6):703–711. doi: 10.1111/cea.13127

The familial aggregation of atopic diseases and depression or anxiety in children

B K Brew 1,, C Lundholm 1, T Gong 1,2, H Larsson 1,3, C Almqvist 1,4
PMCID: PMC6001531  PMID: 29513367

Summary

Background

Children with asthma and atopic diseases have an increased risk of depression or anxiety. Each of these diseases has strong genetic and environmental components; therefore, it seems likely that there is a shared liability rather than causative risk.

Objective

To investigate the existence and nature of familial aggregation for the comorbidity of atopic diseases and depression or anxiety.

Methods

Participants came from the Childhood and Adolescent Twin Study in Sweden (CATSS), n = 14 197. Current and ever asthma, eczema, hay fever and food allergy were reported by parents. Internalizing disorders were identified using validated questionnaires. Familial co‐aggregation analysis compared monozygotic (MZ) twins and same‐sex dizygotic (DZ) twins for atopic disease in 1 twin with internalizing disorder in the other to test for genetic liability. Several familial liability candidates were also tested including parental education, recent maternal psychological stress, childhood family trauma and parental country of birth.

Results

Familial co‐aggregation analysis found that if 1 twin had at least 1 current atopic disease the partner twin was at risk of having an internalizing disorder regardless of their own atopic status (adjusted OR 1.22 (95% CI 1.08, 1.37). Similar results were found for each atopic disease ever and current. MZ associations were not higher than DZ associations, suggesting that the liability is not genetic in nature. Including other familial candidates to the models made little difference to effect estimates.

Conclusions and Clinical Relevance

Atopic diseases and depression or anxiety tend to occur together in families; therefore, when treating for 1 disease, the physician should consider comorbidity in both the individual and the individual's siblings. We did not find evidence to support a genetic explanation for comorbidity, and further exploration is needed to disentangle the environmental and epigenetic reasons for familial aggregation.

Keywords: anxiety, asthma, atopic dermatitis, child, depression, eczema, food allergy, rhinitis

1. INTRODUCTION

It has been recognized for well over a century that children and adults with asthma have a disproportionate burden of depression and anxiety disorders.1, 2 In children, it is estimated that up to one‐third of asthmatics meet criteria for anxiety disorders.1 Similarly, depression or anxiety is more likely in children with other atopic diseases associated with asthma3 such as eczema, rhinitis and food allergy.4, 5, 6 It is not clear why atopic diseases and depression or anxiety are often comorbid and it has also been difficult to show causality, that is, the chicken‐and‐egg dilemma, which comes first, allergic disease or depression or anxiety? A review on atopic diseases and psychosocial factors found evidence for causality in both directions.7 Rather than bidirectional causation, an alternative explanation to the association between atopic diseases and depression or anxiety is a familial liability due to a shared genetic pathway or shared environmental risk factors.8, 9 A common genetic pathway seems to be a plausible explanation as asthma and atopic diseases are highly heritable10 as are depression and anxiety, although to a lesser extent.11 In addition, both maternal stress and socio‐economic status are associated with both atopic diseases12, 13, 14, 15 and depression or anxiety,16, 17 leading to the hypothesis of a familial aggregation for comorbidity due to social environmental factors.

The aim of this study was to investigate the existence and nature of a familial aggregation for the comorbidity of atopic diseases and depression or anxiety in children.

2. METHODS

2.1. Study population

Twins from the Child and Adolescent Twin Study in Sweden (CATSS), born between July 1998 and June 2006, were included in a cross‐sectional study (n = 21 398).18, 19 Parents were interviewed about their children when they were 9 years old. After exclusion of those twins who died or emigrated before age 9, whose parents were not fluent in Swedish, or who had a disability, 20 326 eligible twins remained in the cohort. There was a 72% participation rate (n = 14 589) of whom 14 197 had complete information for all covariates used in the current study. The information from CATSS was linked by personal identity number to nation‐wide registers held in Sweden by the National Board of Health and Welfare and Statistics Sweden. These include the Medical Birth Register for information on births (MBR), National Patient Register for all inpatient and specialist diagnoses (NPR), the Swedish Prescribed Drug Register for all dispensed medications (SPDR) and the Longitudinal Integration Database for health insurance and labour market studies (LISA).20 Parents were linked to their children in the CATSS cohort by using the Multi‐generation Register (MGR) which matches the personal numbers of individuals in families.

2.2. Variables

Ever asthma was defined as a positive response to ‘Has your child ever had asthma?’ in the CATSS questionnaire. Current asthma was defined as a positive response to ‘Does your child still have asthma?’ Similar questions were used for eczema, food allergy and hay fever. A positive response for any of asthma, eczema, food allergy or hay fever was labelled at least 1 atopic disease.

Depression or anxiety was identified using the Screen for Child Anxiety Related Emotional Disorders (SCARED) and Shortened Mood and Feelings (SMFQ) questionnaires answered by parents. SCARED is a 41‐item questionnaire that is used to screen for: generalized anxiety disorder, panic/somatic disorder, separation anxiety, social phobia and school phobia.21 SCARED has been validated and tested in a number of countries and is robust against the DSM‐IV‐T anxiety disorders in children and adolescents.22 In brief, any child that had a score above the cut‐off for any of the 5 disorders was considered to have an anxiety disorder. The SMFQ is a 13‐item questionnaire that has been shown to be valid for use in children age 9 years and is comparable to DSM III‐R depression.23, 24 Any child who scored above 11 on the SMFQ parent‐reported questionnaire was considered to have a depressive disorder.

Covariates: data on gender, birth weight, gestational age, maternal age at delivery and parity were retrieved from the MBR. Zygosity is determined by DNA samples or when DNA is not available, on an algorithm based on 5 questions about twin similarity answered by parents.19 Socio‐economic status was defined as a combination of both parent's level of education at the time of the telephone interview (both parents ≤9 years, 1 or both parents completed 12 years, 1 or both parents completed at least 2 years of graduate education). Parental education and country of birth data were retrieved from LISA.

Recent maternal psychological stress was defined as medication for, or a diagnosis of, an anxiety or depressive disorder in the last 2 years before the telephone interview (that is, when the child was aged 7‐9 years) for the child's mother. Dispensation dates of anxiolytic and antidepressant medications were identified using Anatomical Therapeutic codes (ATC) N05B and N06A, respectively, in the SPDR. Diagnoses of depressive or anxiety disorders were identified using International Classification of Disease‐10 codes F30‐F34, F38‐42, F44, F45 and F48 in the NPR.

Childhood family trauma was defined as parents saying yes to a previous traumatic event within the family including: divorce or separation of parents, death or serious illness of a family member, or substance abuse by a family member. These questions were taken from the Life Stressor Checklist.25

2.3. Statistical analysis

2.3.1. Whole‐cohort analysis

We estimated the odds ratios (ORs) of having an internalizing disorder for those that had at least 1 atopic disease (ever or current) compared to those without atopic disease. Estimates were also generated for (ever or current) asthma, eczema, hay fever and food allergy. Generalized estimating equations were used including an exchangeable covariance structure to account for correlation caused by clustering of observations within twin pairs. Estimates were adjusted for sex, gestational age, birth weight, maternal age and parental country of birth. Effect modification by sex was tested by including an interaction term in each model.

2.3.2. Cross‐twin analysis

Cross‐twin analysis is a type of familial co‐aggregation analysis which compares children with and without atopic disease with regard to the presence of depression or anxiety in their co‐twin. Estimates using generalized estimating equations were calculated for the odds of having an internalizing disorder in twin 2 (modelled as outcome) if twin 1 had at least 1 atopic disease (ever or current, modelled as exposure). Similar estimates were calculated for (ever or current) asthma, eczema, hay fever and food allergy. Models included an exchangeable covariance structure and were adjusted for covariates shared by the twin pair—gestational age and maternal age at delivery. Models were also adjusted for the atopic status of twin 2 to remove possible confounding via this pathway.26 An association between atopy and depression or anxiety in a cross‐twin analysis suggests familial liability aggregation.

Monozygotic twins (MZ) are genetically identical, and dizygotic twins (DZ) share on average 50% of their segregating genes. Therefore, if MZ odds ratios are higher than DZ odds ratios, this suggests that the familial aggregation may be due to shared genes. An interaction term for zygosity was added to each familial co‐aggregation model to test whether there was a significant difference between MZ and DZ estimates.

Recent maternal psychological stress, parental education, childhood family trauma and parental birth country were added separately as covariates to the cross‐twin analyses to test these as possible shared familial candidates to explain the familial aggregation of child asthma/atopy and depression or anxiety. These factors have both environmental and genetic components; hence, we have termed them ‘familial candidates’. We would expect to see attenuation of the cross‐twin estimates if the candidates were the source of familial aggregation.

2.3.3. Sensitivity analysis

In case of reporting bias by parents in the CATSS questionnaires regarding atopic status and internalizing disorder status, we repeated the analyses for asthma using a validated algorithm for register‐based asthma definitions.27

Register‐based Ever Asthma was defined as fulfilling one of the following criteria:

  1. Two or more dispenses of preventer medications over the 9 years, that is either; inhaled corticosteroids (ICS), leukotriene receptor agonists (LRTA) or fixed combinations of β2‐agonists and corticosteroids (β2‐ICS). ATC codes for these medications are R03BA, R03DC03 and R03AK, respectively. If both dispenses were below the age of 4.5 years, the criteria were that there was at least 14 days between each dispense to avoid change of inhaler device.

  2. Two dispenses of β2‐adrenoceptor agonists (R03AC), and either a third dispense of a β2‐adrenoceptor agonist or of a preventer medication (ICS, LRTA, β2‐ICS) in any 12‐month period.

  3. An asthma diagnosis in the NPR after the age of 4.5 years.

  4. Register‐based Current Asthma was defined as having register‐based ever asthma before age 9 years, AND either a dispensed medication or a diagnosis (based on the NPR which records inpatient and specialist visits) recorded within 18 months of their 9th birthday.

Data management and statistical analyses were conducted using SAS 9.4.

This study was approved by the Regional Ethical Review board in Stockholm, Sweden.

3. RESULTS

Current prevalence for the traits of interest in 9‐year‐old children were: asthma 8.7%, eczema 7.6%, hay fever 6.6%, food allergy 9.5% and depression or anxiety 13.3%. Summary characteristics for those with current atopic diseases and depression or anxiety and the whole cohort are listed in Table 1.

Table 1.

Summary characteristics of the full twin cohort and the subgroups with current asthma, eczema, hay fever, food allergy or depression or anxiety

Full cohort (%) Current asthma n (%) Current eczema n (%) Current Hay fever n (%) Current food allergy n (%) Depression or anxiety n(%)
Total number of children 14197 1230 (8.7)a 1075 (7.6)a 940 (6.6)a 1330 (9.5)a 1883 (13.3)a
Sex
Male 7161 (50.4) 726 (59.0) 443 (41.2) 558 (59.4) 625 (47.0) 892 (47.4)
Female 7036 (49.6) 504 (41.0) 632 (58.8) 382 (40.6) 705 (53.0) 991 (52.6)
Birth weight (grams)
≤1999 1936 (13.7) 201 (16.7) 115 (10.8) 110 (11.8) 170 (12.9) 311 (16.7)
2000‐2499 3292 (23.4) 326 (26.9) 278 (26.2) 229 (24.6) 319 (24.3) 488 (26.1)
2500‐2999 5053 (35.9) 413 (34.1) 396 (37.3) 343 (36.9) 486 (37.0) 620 (33.2)
3000‐3499 3085 (21.9) 213 (17.6) 223 (21.0) 195 (21.0) 264 (20.1) 369 (19.8)
≥3500 721 (5.1) 56 (4.6) 51 (4.8) 53 (5.7) 76 (5.8) 80 (4.3)
Gestational age (weeks)
≤31 916 (6.5) 109 (8.9) 42 (3.9) 49 (5.2) 78 (5.9) 144 (7.7)
32‐34 1952 (13.8) 218 (17.7) 162 (15.1) 140 (14.9) 196 (14.7) 312 (16.6)
35‐36 3066 (21.6) 283 (23.0) 256 (23.8) 224 (23.8) 268 (20.2) 403 (21.4)
37‐38 5531 (39.0) 423 (34.4) 416 (38.7) 351 (37.3) 517 (38.9) 730 (38.8)
39‐40 2584 (18.2) 189 (15.4) 185 (17.2) 160 (17.0) 25 1 (18.9) 284 (15.1)
≥41 148 (1.0) 8 (0.7) 14 (1.3) 16 (1.7) 20 (1.5) 10 (0.5)
Number of older siblings
0 3445 (24.3) 320 (26.0) 263 (24.5) 243 (23.9) 312 (23.4) 469 (24.9)
≥1 10 752 (75.7) 910 (74.0) 812 (75.5) 697 (74.2) 1018 (76.5) 1414 (75.1)
Maternal age at delivery
≤24 890 (6.3) 83 (6.8) 61 (5.7) 54 (5.7) 79 (5.9) 187 (9.9)
25‐29 3862 (27.2) 401 (32.6) 306 (28.5) 290 (30.9) 365 (27.4) 498 (26.5)
30‐34 5816 (41.0) 464 (37.2) 436 (40.6) 388 (41.3) 569 (42.8) 732 (38.9)
≥35 3629 (25.6) 282 (22.9) 272 (25.3) 208 (22.1) 317 (23.8) 466 (24.8)
Parent's birth place
Mother Sweden 12 743 (89.8) 1124 (91.4) 989 (92.0) 859 (91.4) 1202 (90.4) 1617 (85.6)
other 1454 (10.2) 106 (8.6) 86 (8.0) 81 (8.6) 128 (9.6) 266 (14.1)
Father Sweden 12 694 (89.4) 1134 (92.2) 991 (92.2) 860 (91.5) 1207 (90.8) 1601 (85.0)
other 1503 (10.6) 96 (7.8) 84 (7.8) 80 (8.5) 123 (9.3) 282 (15.0)
Highest parental education
Both ≤9 y 223 (1.6) 13 (1.1) 13 (1.2) 7 (0.8) 21 (1.6) 44 (2.4)
One or both completed 12 y 5654 (40.2) 565 (46.4) 378 (35.4) 353 (37.8) 548 (41.5) 865 (46.7)
One or both ≥2 y Tertiary 8191 (58.2) 640 (52.6) 678 (63.4) 575 (61.5) 753 (57.0) 943 (50.9)
Recent maternal psychological stress 2465 (17.4) 270 (22.0) 214 (19.9) 196 (20.9) 256 (19.3) 541 (28.7)
Childhood family trauma 1415 (10.0) 147 (12.0) 115 (10.7) 112 (11.9) 160 (12.0) 260 (13.8)
a

% of total number of children.

Whole‐cohort analyses found positive associations between having at least 1 atopic disease and depression or anxiety, adjusted odds ratios (adjOR) ever 1.33 (95%CI 1.20, 1.47) and current 1.36 (95%CI 1.21, 1.52), as listed in Table 2. For separate atopic diseases, estimates were highest for asthma ever (adjOR 1.47, 95%CI 1.29, 1.69) and current (adjOR 1.59, 95%CI 1.36, 1.86) and lowest for eczema ever (adjOR 1.23, 95%CI 1.09, 1.38) and current (adjOR 1.11, 95%CI 0.92, 1.35). No effect modification was seen by sex (results not shown).

Table 2.

Whole‐cohort analysis. Asthma, atopic diseases and depression or anxiety in children (N = 14 197)

Depression or anxiety Odds Ratios (95% Confidence Intervals) for the association between atopic disease and depression or anxiety
n (% of those with atopic disease) n (% of those without atopic disease) Crude Adjusteda
Ever
≥1 atopic disease (n = 5805) 903 (15.6) 980 (11.7) 1.32 (1.19, 1.46)*** 1.33 (1.20, 1.47)***
Asthma (n = 2094) 372 (17.8) 1500 (10.6) 1.44 (1.26, 1.64)*** 1.47 (1.29, 1.69)***
Eczema (n = 3152) 503 (16.0) 1375 (12.5) 1.23 (1.09, 1.38)** 1.23 (1.09, 1.38)**
Hayfever (n = 1051) 178 (16.9) 1675 (12.9) 1.26 (1.06, 1.51)* 1.28 (1.06, 1.54)**
Food allergy (n = 1980) 322 (16.3) 1561 (12.8) 1.27 (1.11, 1.45)** 1.29 (1.12, 1.48)**
Current
≥1 atopic disease (n = 3408) 559 (16.4) 1324 (12.3) 1.34 (1.20, 1.50)*** 1.36 (1.21, 1.52)***
Asthma (n = 1230) 240 (19.5) 1628 (11.5) 1.59 (1.36, 1.85)*** 1.59 (1.36, 1.86)***
Eczema (n = 1075) 167 (15.5) 1712 (13.1) 1.12 (0.92, 1.35) 1.11 (0.92, 1.35)
Hayfever (n = 940) 150 (16.0) 1724 (13.0) 1.17 (0.96, 1.43) 1.19 (0.98, 1.46)
Food allergy (n = 1330) 220 (16.5) 1644 (12.9) 1.31 (1.12, 1.53)** 1.33 (1.14, 1.56)**

aadjusted for: sex, gestational age, birth weight, maternal age at delivery, parent's birth country.

* P ≤ .05, **P < .01, ***P < .0001.

Cross‐twin familial co‐aggregation analyses found that having an atopic disease of any type in 1 twin (twin 1) was associated with depression or anxiety in their partner twin (twin 2), except for current food allergy (Table 3). Estimates were similar to those for the within‐twin analysis (Table 2) and did not change when further adjusted for the partner twin's (twin 2) atopic status (Table 3). These results suggest that there is a familial aggregation for the comorbidity of atopic diseases and depression or anxiety. A comparison of MZ and DZ twins did not find that the associations in MZ twins were statistically higher than in DZ twins for any of the atopic diseases which suggests that the familial aggregation may not be due to common genes (Table 3).

Table 3.

Cross‐twin familial co‐aggregation analysis. Initial analyses and MZ and DZ same‐sex analyses

Depression or anxiety in Twin 2 Odds Ratios (95% Confidence Intervals) for the association of atopic disease in twin 1 and depression or anxiety in twin 2
Atopic Diseases in Twin 1 n (% of twin 1 with atopic disease) n (% of twin 1 without atopic disease) All twin pairsa All twin pairsaadjusted for twin 2 atopic status MZ twinsa DZ same‐sex twinsa
Ever
≥1 atopic disease 780 (15.2) 918 (11.7) 1.25 (1.12, 1.40)*** 1.24 (1.12, 1.39)*** 1.17 (0.94, 1.46) 1.25 (1.05, 1.50)*
Asthma 314 (17.2) 1384 (12.4) 1.33 (1.14, 1.54)** 1.29 (1.12, 1.49)** 1.18 (0.88, 1.59) 1.35 (1.06, 1.72)*
Eczema 455 (16.2) 1243 (12.2) 1.30 (1.14, 1.48)*** 1.32 (1.16, 1.50)*** 1.36 (1.05, 1.78)* 1.28 (1.04, 1.58)*
Hay fever 166 (17.8) 1532 (12.7) 1.39 (1.14, 1.68)** 1.40 (1.16, 1.68)** 1.20 (0.81, 1.77) 1.25 (0.91, 1.73)
Food allergy 269 (16.0) 1429 (12.6) 1.24 (1.07, 1.45)** 1.23 (1.05, 1.42)** 1.34 (1.01, 1.79)* 1.05 (0.80, 1.37)
Current
≥1 atopic disease 474 (15.5) 1224 (9.4) 1.23 (1.08, 1.39)** 1.22 (1.08, 1.37)** 1.36 (1.06, 1.75)* 1.08 (0.88, 1.33)
Asthma 187 (17.1) 1511 (12.7) 1.22 (1.02, 1.46)* 1.23 (1.03, 1.46)* 1.14 (0.78, 1.66) 1.40 (1.05, 1.87)*
Eczema 172 (17.7) 1524 (12.7) 1.45 (1.20, 1.76)*** 1.45 (1.20, 1.76)*** 2.07 (1.46, 2.94)*** 1.08 (0.76, 1.55)
Hay fever 146 (17.5) 1548 (12.8) 1.38 (1.12, 1.69)** 1.39 (1.14, 1.70)** 1.12 (0.73, 1.71) 1.27 (0.91, 1.78)
Food allergy 182 (15.3) 1516 (12.9) 1.15 (0.96, 1.37) 1.15 (0.96, 1.36) 1.33 (0.96, 1.82) 0.94 (0.68, 1.29)

N = 12 474 (those with all information who have a twin with all information).

Adjusted for gestational age and maternal age at delivery.

* P ≤ .05, **P < .01, ***P < .001.

Adjusting for each of the potential familial candidates—parental education, recent maternal anxiety/depression, childhood family trauma or parental birth place—only changed estimates slightly (Table 4). Of note, the estimates slightly increased when parental birth place was added to the models (Table 4) and slightly decreased when recent maternal psychological stress was added to the models (Table 4), the estimate for current asthma attenuated (adjOR 1.18, 95% CI 0.98, 1.42).

Table 4.

Cross‐twin familial co‐aggregation analysis. Testing potential familial candidates

Odds ratios (95% Confidence intervals) for the association of atopic disease in Twin 1 and depression or anxiety in Twin 2
Atopic diseases in Twin 1 All twin pairsaadjusted for parental education All twin pairsaadjusted for recent maternal psychological stress All twin pairsaadjusted for family trauma All twin pairsaadjusted for parental birth place
Ever
≥1 atopic disease 1.26 (1.12, 1.40)*** 1.23 (1.10, 1.37)** 1.25 (1.12, 1.39)*** 1.27 (1.14, 1.42)***
Asthma 1.31 (1.13, 1.53)** 1.30 (1.12, 1.50)** 1.32 (1.14, 1.53)** 1.36 (1.17, 1.58)**
Eczema 1.30 (1.14, 1.48)*** 1.29 (1.13, 1.47)** 1.30 (1.14, 1.47)*** 1.31 (1.15, 1.49)***
Hayfever 1.42 (1.17, 1.72)** 1.37 (1.12, 1.66)** 1.37 (1.13, 1.67)** 1.41 (1.16, 1.71)**
Food allergy 1.22 (1.04, 1.42)* 1.22 (1.05, 1.43)** 1.23 (1.05, 1.43)** 1.26 (1.08, 1.46)**
Current
≥1 atopic disease 1.22 (1.08, 1.39)** 1.20 (1.06, 1.36)** 1.22 (1.08, 1.38)** 1.25 (1.10, 1.442)**
Asthma 1.21 (1.02, 1.44)* 1.18 (0.98, 1.42) 1.22 (1.03, 1.45)* 1.25 (1.04, 1.50)*
Eczema 1.45 (1.19, 1.76)** 1.44 (1.18, 1.75)** 1.46 (1.20, 1.77)** 1.48 (1.22, 1.80)***
Hayfever 1.41 (1.15, 1.73)** 1.35 (1.10, 1.66)** 1.36 (1.11, 1.67)** 1.41 (1.15, 1.73)**
Food allergy 1.15 (0.96, 1.38) 1.12 (0.94, 1.35) 1.14 (0.95, 1.36) 1.16 (0.97, 1.39)

N = 12 474 (those with all information who have a twin with all information).

aAdjusted for gestational age and maternal age at delivery.

* P ≤ .05, **P < .01, ***P < .001.

Sensitivity analyses: within analysis using register‐based asthma found that the associations between asthma and depression or anxiety were positive (Table 5), although of a lesser magnitude (adjOR ever asthma 1.18 [95% CI 1.03, 1.37], adjOR current asthma 1.31 [95%CI 1.09, 1.56]) than the analyses using parent‐reported asthma (Table 2). Cross‐twin analysis found that register‐based ever or current asthma in 1 twin was associated with depression or anxiety in their partner twin (twin 2) with similar magnitude to the analyses using parent‐reported asthma in Table 4 (Table 5, adjOR ever asthma 1.26 [95% CI 1.09, 1.47], adjOR current asthma 1.26 [95%CI 1.04, 1.54]). No significant differences were seen between MZ and DZ twin pair associations for either of the register‐based asthma definitions (Table 5). Adjusting for each of the potential familial candidates only changed estimates slightly; again, the addition of recent maternal psychological stress slightly decreased estimates (Table 5, adjOR ever asthma 1.23 [95% CI 1.05, 1.43], adjOR current asthma 1.23 [95%CI 1.00, 1.53]).

Table 5.

Sensitivity analysis. Register‐based asthma and depression or anxiety in children aged 9 years

Odds ratios (95% Confidence Intervals)
Ever register‐based asthma Current register‐based asthma
Whole cohort (N = 14 197)
Depression or anxietya 1.18 (1.03, 1.37)* 1.31 (1.09, 1.56)**
Cross‐twin familial co‐aggregation (N = 12 474)
Depression or anxiety
All twin pairsb 1.26 (1.09, 1.47)** 1.26 (1.04, 1.54)*
All twin pairs adjusted for twin 2 atopic statusb 1.26 (1.09, 1.47)** 1.27 (1.05, 1.54)*
MZ twinsb 1.23 (0.91, 1.65) 1.20 (0.80, 1.79)
DZ same‐sex twinsb 1.26 (0.99, 1.62) 1.33 (0.96, 1.85)
All twin pairs adjusted for parental educationb 1.26 (1.08, 1.47)** 1.26 (1.03, 1.54)*
All twin pairs adjusted for recent maternal psychological stressb 1.23 (1.05, 1.43)** 1.23 (1.00, 1.50)*
All twin pairs adjusted for family traumab 1.26 (1.08, 1.46)** 1.26 (1.03, 1.53)*
All twin pairs adjusted for parental birth placeb 1.29 (1.11, 1.50)** 1.30 (1.06, 1.58)*

aadjusted for: sex, gestational age, birth weight, maternal age at delivery, parents’ birth country. b adjusted for gestational age and maternal age at delivery. *P ≤ .05, **P < .01, ***P < .0001.

4. DISCUSSION

This study has found evidence for familial aggregation for the comorbidity of atopic diseases and depression or anxiety in children. The whole‐cohort analysis found that overall, parent‐reported atopic disease of any type, ‘ever’ or ‘current’, was associated with having an internalizing disorder. Of all the atopic diseases we studied, the association between asthma and depression or anxiety was the strongest. Our effect estimates for asthma were comparable with other studies using cohorts of comparable age.2, 28, 29 In regard to the other atopic diseases, although less studied than asthma, our study contributes to the growing body of epidemiological evidence finding that eczema,5, 30 food allergy4, 31 and rhinitis6 are each associated with depression or anxiety in children.

There is physiological evidence supporting a causal association between stress and asthma involving immunologic and epigenetic mechanisms.32, 33 However, there is also epidemiological evidence indicating bi‐directionality for atopic diseases and depression or anxiety.7 Mechanisms for how atopic diseases may ‘cause’ depression or anxiety seem most likely to do with the stress of managing a chronic disease and lowered quality of life; for example, itching at night from eczema affecting sleep;34 constantly assessing food choices;35 absenteeism from school due to atopic illness.2 We do not refute that causal pathways can occur in either direction. However, the results from the cross‐twin analysis found that if 1 twin had an atopic disease the other twin was at risk of having an internalizing disorder, regardless of their own atopic status. This means if the link from atopic disease to stress was purely causal (in either direction), then we should have found that when we adjusted for twin 2's atopic status the effect estimates attenuated, which they did not. Therefore, from the adjusted cross‐twin results Model 2 we can conclude that there is a familial liability, that is, a common genetic or environmental component explaining atopic disease and internalizing disorder comorbidity that is separate from direct causation between the 2 diseases. A further comparison of MZ and DZ twins in our study did not find evidence to prove that the familial liability is genetic in nature. However, an earlier Finnish adult twin study did find evidence for a small shared additive genetic effect for atopic diseases and depression or anxiety in adults.9 It is possible that the different findings between studies are due to aetiologic differences for atopic diseases and depression or anxiety in adults and children, reflected in notable differences in disease prevalence between studies. However, more research is required, such as polygenic risk score analysis using published genome‐wide association study (GWAS) summary statistics for asthma and anxiety. Early genetic studies have suggested a possible gene candidate—ADCYAP1R1, a susceptibility gene for post‐traumatic stress disorder and anxiety that has also been shown to be associated with reduced bronchodilator response in children with asthma.33

Familial aggregation for disease comorbidity could also suggest other familial factors may be playing a role in the aetiology of the 2 diseases such as those with an environmental component. This includes physical, socio‐psychological and cultural factors in the shared environment of the twin pairs. We tested several shared familial candidates that have been shown previously to be associated with atopic diseases and/or depression or anxiety. These included parental education (a marker for socio‐economic status),15, 17 recent maternal psychological stress16, 36 and childhood family trauma.37 However, we found that including these covariates in the models (Model 3) made little difference to effect estimates, although recent maternal psychological stress decreased estimates slightly and did attenuate for current asthma. We found in another study based on Swedish and Puerto Rican data that asthma risk increased in children whose mothers had both depression and asthma compared to children of mothers who only had one of these comorbidities.38 In addition, a number of studies have found that early exposure to maternal and caregiver stress is associated with offspring asthma and atopy.12, 14, 39, 40 Unfortunately for the current study, we were unable to test the effect of exposure to maternal stress early in life due to the recency of the prescribed drug register (SPDR). Other possible social environmental factors that have been shown to particularly influence asthma morbidity in children and could be investigated as potential familial candidates include family support,41, 42 negative parenting43 and socio‐economic disadvantage.2, 44

We considered the possibility of over‐reporting by parents for their child's atopic status and depression or anxiety which could cause inflated associations. To test this hypothesis, we were able to use an objective definition for asthma based on a previously validated algorithm for register‐based asthma.27 The whole‐cohort effect estimates using register‐based asthma were lower but still significant than the estimates for parent report, suggesting that some parental over‐reporting may be occurring. However, the cross‐twin effect estimates were similar between register‐based asthma and parent‐reported asthma which means that the parents were just as likely to report an internalizing disorder in the co‐twin regardless of whether the first twin's asthma was recorded by parental report or healthcare register. Therefore, we feel that the sensitivity analysis using register‐based asthma definition supports the main findings of the cross‐twin analysis and that over‐reporting by parents is not an explanatory reason for the associations.

The strengths of this study were that we had access to a large twin study and were therefore able to use cross‐twin familial co‐aggregation analysis. Secondly, our data were linked with administrative and healthcare registers so that we were able to test several environmental factors as candidates for a common environmental liability. The main limitation was that we could not assess severity of the atopic illnesses and therefore are unable to comment on disease severity and depression or anxiety. Secondly, although we were able to use a more objective definition in the sensitivity analysis for asthma based on register data, we were unable to do this for the other atopic diseases as parents do not always seek medical help for eczema, rhinitis and food allergy in their children.27 Finally, there may be an issue with generalizability from twins to singletons. However, it has been shown that twins have a lower prevalence of asthma than singletons once gestational age and birth weight are adjusted for;45 therefore, our results may be slightly tending more towards the null than expected in a group of singletons.

In conclusion, this study found evidence for familial aggregation for the comorbidity of atopic diseases and depression or anxiety in children. We found no evidence to suggest the familial aggregation is genetic in nature; however, more investigation is needed to discover the nature of the familial aggregation. The clinical implication may be that physicians treating patients with asthma or allergy need to consider comorbidity with depression or anxiety in the individual and relatives when taking a family history.

CONFLICT OF INTEREST

Henrik Larsson has served as a speaker for Eli‐Lilly and Shire and has received research grants from Shire, all outside the scope of the submitted work. The other authors have no conflict of interest to declare.

ACKNOWLEDGEMENTS

The authors would like to gratefully acknowledge the children and parents of the CATSS twin cohort, without whose participation this study would have been impossible to perform. We are also indebted to Eva Carlström, Isabelle Kizling, Camilla Palm, Christina Norrby and Marcus Boman, who contributed with excellent data collection and management. Thanks also to the statistical advice of Dr Ralf Kuja‐Halkola and Dr Miriam Mosing, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.

Brew BK, Lundholm C, Gong T, Larsson H, Almqvist C. The familial aggregation of atopic diseases and depression or anxiety in children. Clin Exp Allergy. 2018;48:703–711. https://doi.org/10.1111/cea.13127

Funding information

This work was supported by the Swedish Research Council through the Swedish Initiative for research on Microdata in the Social And Medical sciences (SIMSAM) framework (Grant No. 340‐2013‐5867); the Swedish Heart Lung Foundation; the Swedish Asthma and Allergy Association's Research Foundation, Swedish Research Council for Health, Working life and Welfare FORTE (Grant No. 2015‐00289) and grants provided by the Stockholm County Council (ALF project). Bronwyn Brew was supported by Forte and the Commission under a COFAS Marie Curie Fellowship (Grant No. 2015‐01208)

REFERENCES

  • 1. Katon W, Richardson L, Lozano P, McCauley E. The relationship of asthma and anxiety disorders. Psychosom Med. 2004;66:349‐355. [DOI] [PubMed] [Google Scholar]
  • 2. Blackman J, Gurka M. Developmental and behavioural comorbidities of asthma in children. J Dev Behav Pediatr. 2007;28:92‐99. [DOI] [PubMed] [Google Scholar]
  • 3. Ferreira MA, Vonk JM, Baurecht H, et al. Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nat Genet. 2017;49:1752‐1757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Shanahan L, Zucker N, Copeland WE, Costello EJ, Angold A. Are children and adolescents with food allergies at increased risk for psychopathology? J Psychosom Res. 2014;77:468‐473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Yaghmaie P, Koudelka CW, Simpson EL. Mental health comorbidity in patients with atopic dermatitis. J Allergy Clin Immunol. 2013;131:428‐433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Audino P, La Grutta S, Cibella F, et al. Rhinitis as a risk factor for depressive mood in pre‐adolescents: a new approach to this relationship. Pediatr Allergy Immunol. 2014;25:360‐365. [DOI] [PubMed] [Google Scholar]
  • 7. Chida Y, Hamer M, Steptoe A. A bidirectional relationship between psychosocial factors and atopic disorders: a systematic review and meta‐analysis. Psychosom Med. 2008;70:102‐116. [DOI] [PubMed] [Google Scholar]
  • 8. Hasler G, Gergen PJ, Kleinbaum DG, et al. Asthma and panic in young adults: a 20‐year prospective community study. Am J Respir Crit Care Med. 2005;171:1224‐1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Wamboldt MZ, Hewitt J, Schmitz S, et al. Familial assocation between allergic disorders and depression in adult Finnish twins. Am J Med Genet. 2000;96:146‐153. [DOI] [PubMed] [Google Scholar]
  • 10. Ullemar V, Magnusson PK, Lundholm C, et al. Heritability and confirmation of genetic association studies for childhood asthma in twins. Allergy. 2016;71:230‐238. [DOI] [PubMed] [Google Scholar]
  • 11. Boomsma DI, van Beijsterveldt CEM, Hudziak JJ. Genetic and environmental influences on Anxious/Depression during childhood: a study from the Netherlands Twin Register. Genes Brain Behav. 2005;4:466‐481. [DOI] [PubMed] [Google Scholar]
  • 12. Andersson NW, Hansen MV, Larsen AD, Hougaard KS, Kolstad HA, Schlunssen V. Prenatal maternal stress and atopic diseases in the child: a systematic review of observational human studies. Allergy. 2016;71:15‐26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Polloni L, Ferruzza E, Ronconi L, et al. Perinatal stress and food allergy: a preliminary study on maternal reports. Psychol Health Med. 2015;20:732‐741. [DOI] [PubMed] [Google Scholar]
  • 14. Brew BK, Lundholm C, Viktorin A, Lichtenstein P, Larsson H, Almqvist C. Longitudinal depression or anxiety in mothers and offspring asthma: a Swedish population‐based study. Int J Epidemiol. 2018;47:166‐174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Uphoff E, Cabieses B, Pinart M, Valdes M, Anto JM, Wright J. A systematic review of socioeconomic position in relation to asthma and allergic diseases. Eur Respir J. 2015;46:364‐374. [DOI] [PubMed] [Google Scholar]
  • 16. Goodman SH, Rouse MH, Connell AM, Broth MR, Hall CM, Heyward D. Maternal depression and child psychopathology: a meta‐analytic review. Clin Child Fam Psychol Rev. 2011;14:1‐27. [DOI] [PubMed] [Google Scholar]
  • 17. Richardson R, Westley T, Gariepy G, Austin N, Nandi A. Neighborhood socioeconomic conditions and depression: a systematic review and meta‐analysis. Soc Psychiatry Psychiatr Epidemiol. 2015;50:1641‐1656. [DOI] [PubMed] [Google Scholar]
  • 18. Magnusson PK, Almqvist C, Rahman I, et al. The Swedish Twin Registry: establishment of a biobank and other recent developments. Twin Res Hum Genet. 2013;16:317‐329. [DOI] [PubMed] [Google Scholar]
  • 19. Anckarsater H, Lundstrom S, Kollberg L, et al. The Child and Adolescent Twin Study in Sweden (CATSS). Twin Res Hum Gen. 2012;14:495‐508. [DOI] [PubMed] [Google Scholar]
  • 20. Ludvigsson JF, Almqvist C, Bonamy AE, et al. Registers of the Swedish total population and their use in medical research. Eur J Epidemiol. 2016;31:125‐136. [DOI] [PubMed] [Google Scholar]
  • 21. Birmaher B, Brent D, Chiapetta L, Bridge J, Monga S, Baugher M. Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a Replication Study. J Am Acad Child Adolesc Psychiatry. 1999;38:1230‐1236. [DOI] [PubMed] [Google Scholar]
  • 22. Hale WW 3rd, Raaijmakers QA, Muris P, Meeus WH. Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED) in the general adolescent population. J Am Acad Child Adolesc Psychiatry. 2005;44:283‐290. [DOI] [PubMed] [Google Scholar]
  • 23. Angold A, Erkanli A, Silberg J, Eaves LJ, Costello EJ. Depression scale scores in 8‐17 year olds: effects of age and gender. J Child Psychol Psychiatry. 2002;43:1052‐1063. [DOI] [PubMed] [Google Scholar]
  • 24. Thapar A, McGuffin P. Validitiy of the shortened mood and feelings questionnaire in a community sample of children and adolescents: a preliminary research note. Psychiatry Res. 1998;81:259‐268. [DOI] [PubMed] [Google Scholar]
  • 25. Wolfe JW, Kimerling R, Brown PJ, Chrestman K, Levin K. Psychometric review of the Life Stressor Checklist‐Revised In: Stamm H, ed. Measurement of Stress, Trauma and Adaptation. Lutherville, MD: Sidran Press; 1996:198‐201. [Google Scholar]
  • 26. Yao S, Kuja‐Halkola R, Thornton LM, et al. Familial liability for eating disorders and suicide attempts: evidence from a population registry in Sweden. JAMA Psychiatry. 2016;73:284‐291. [DOI] [PubMed] [Google Scholar]
  • 27. Ortqvist AK, Lundholm C, Wettermark B, Ludvigsson JF, Ye W, Almqvist C. Validation of asthma and eczema in population‐based Swedish drug and patient registers. Pharmacoepidemiol Drug Saf. 2013;22:850‐860. [DOI] [PubMed] [Google Scholar]
  • 28. Collins JE, Gill TK, Chittleborough CR, Martin AJ, Taylor AW, Winefield H. Mental, emotional, and social problems among school children with asthma. J Asthma. 2008;45:489‐493. [DOI] [PubMed] [Google Scholar]
  • 29. Feitosa CA, Santos DN, Barreto do Carmo MB, et al. Behavior problems and prevalence of asthma symptoms among Brazilian children. J Psychosom Res. 2011;71:160‐165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Lee S, Shin A. Association of atopic dermatitis with depressive symptoms and suicidal behaviors among adolescents in Korea: the 2013 Korean Youth Risk Behavior Survey. BMC Psychiatry. 2017;17:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Polloni L, Ferruzza E, Ronconi L, et al. Mental health and behavior of food‐allergic adolescents compared to a healthy matched sample. Ann Allergy Asthma Immunol. 2015;115:158‐160. [DOI] [PubMed] [Google Scholar]
  • 32. Rosenberg SL, Miller GE, Brehm JM, Celedon JC. Stress and asthma: novel insights on genetic, epigenetic, and immunologic mechanisms. J Allergy Clin Immunol. 2014;134:1009‐1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Brehm JM, Ramratnam SK, Tse SM, et al. Stress and Bronchodilator Response in Children with Asthma. Am J Respir Crit Care Med. 2015;192:47‐56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Slattery MJ, Essex MJ, Paletz EM, et al. Depression, anxiety, and dermatologic quality of life in adolescents with atopic dermatitis. J Allergy Clin Immunol. 2011;128:668‐671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Cummings AJ, Knibb RC, King RM, Lucas JS. The psychosocial impact of food allergy and food hypersensitivity in children, adolescents and their families: a review. Allergy. 2010;65:933‐945. [DOI] [PubMed] [Google Scholar]
  • 36. Lee A, Mathilda Chiu YH, Rosa MJ, et al. Prenatal and postnatal stress and asthma in children: Temporal‐ and sexspecific associations. J Allergy Clin Immunol. 2016;138:740‐747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Liu X, Olsen J, Agerbo E, et al. Psychological stress and hospitalization for childhood asthma‐a nationwide cohort study in two Nordic countries. PLoS One. 2013;8:e78816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Medsker BH, Brew BK, Forno E, et al. Maternal depressive symptoms, maternal asthma, and asthma in schoolaged children. Ann Allergy Asthma Immunol. 2017;118:55‐60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. van de Loo KF, van Gelder MM, Roukema J, Roeleveld N, Merkus PJ, Verhaak CM. Prenatal maternal psychological stress and childhood asthma and wheezing: a meta‐analysis. Eur Respir J. 2016;47:133‐146. [DOI] [PubMed] [Google Scholar]
  • 40. Wright RJ, Finn P, Contreras JP, et al. Chronic caregiver stress and IgE expression, allergen‐induced proliferation, and cytokine profiles in a birth cohort predisposed to atopy. J Allergy Clin Immunol. 2004;113:1051‐1057. [DOI] [PubMed] [Google Scholar]
  • 41. Chen E, Chim LS, Strunk RC, Miller GE. The role of the social environment in children and adolescents with asthma. Am J Respir Crit Care Med. 2007;176:644‐649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Miller GE, Gaudin A, Zysk E, Chen E. Parental support and cytokine activity in childhood asthma: the role of glucocorticoid sensitivity. J Allergy Clin Immunol. 2009;123:824‐830. [DOI] [PubMed] [Google Scholar]
  • 43. Lim J, Wood BL, Miller BD. Maternal depression and parenting in relation to child internalizing symptoms and asthma disease activity. J Fam Psychol. 2008;22:264‐273. [DOI] [PubMed] [Google Scholar]
  • 44. Miller GE, Chen E, Fok AK, et al. Low early‐life social class leaves a biological residue manifested by decreased glucocorticoid and increased proinflammatory signaling. Proc Natl Acad Sci U S A. 2009;106:14716‐14721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Ullemar V, Lundholm C, Almqvist C. Twins’ risk of childhood asthma mediated by gestational age and birthweight. Clin Exp Allergy. 2015;45:1328‐1336. [DOI] [PubMed] [Google Scholar]

Articles from Clinical and Experimental Allergy are provided here courtesy of Wiley

RESOURCES