Literature DB >> 26683589

Children of chronically ill parents: Relationship between parental multiple sclerosis and childhood developmental health.

Neda Razaz1, K S Joseph1, W Thomas Boyce2, Martin Guhn3, Barry Forer3, Robert Carruthers4, Ruth Ann Marrie5, Helen Tremlett6.   

Abstract

BACKGROUND: Exposure to parental chronic illness is associated with adverse developmental outcomes.
OBJECTIVE: We examined the association between parental multiple sclerosis (MS) and parental MS-related clinical factors on developmental health.
METHODS: We conducted a population-based cohort study in British Columbia, Canada, using linked health databases. The outcome was childhood development at 5 years of age, expressed as vulnerability on the Early Development Instrument (EDI). Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression.
RESULTS: MS-affected parents (n = 783) were older, more likely to be English speakers, and had higher rates of mental health morbidity (39.6% vs 22.2%, p < 0.001) than unaffected parents (n = 2988). In the adjusted models, children of mothers with MS (aOR = 0.62, 95% CI = 0.44-0.87), but not children of the fathers with MS, had a lower risk of vulnerability on the social development domain of the EDI. However, mental health comorbidity (aOR = 1.62, 95% CI = 1.05-2.50) and physical comorbidity (aOR = 1.67, 95% CI = 1.05-2.64) among mothers with MS were associated with increased vulnerability on the EDI.
CONCLUSION: Maternal MS, but not paternal MS, was associated with lower rates of developmental vulnerability on the social development domain. However, mental and physical comorbidity among MS-affected mothers were associated with increased developmental vulnerability in children.
© The Author(s), 2015.

Entities:  

Keywords:  Multiple sclerosis; anxiety; child development; cohort studies; depression

Mesh:

Year:  2015        PMID: 26683589      PMCID: PMC5051600          DOI: 10.1177/1352458515621624

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


Introduction

Approximately 10% of children live in households where a parent has a chronic illness.[1,2] Research often focuses on the ill child, but typically neglects children of chronically ill parents despite the evidence that these children have significantly more signs of anxiety and depression than children of healthy parents.[1,3] Multiple sclerosis (MS) typically manifests between the ages of 20 and 40 years, when parenting is an important issue.[4] Although the relevant literature is sparse, some studies have suggested that children of parents with MS display higher rates of adjustment difficulties, particularly anxiety disorders and behavioral disturbances.[5,6] Comorbidity is relatively common in MS with over one-third reporting at least one physical comorbidity, and approximately 50% of MS patients suffering from depression and anxiety disorders.[7] Overall, parental mental illness is an important predictor of child adjustment and has been associated with a detrimental effect on children’s early emotional development.[8,9] As MS disease course changes over time and disability progresses, the family may experience more conflict and less cohesion, with parents paying less attention to the child’s needs.[4] Few methodologically rigorous studies have examined the association between parental MS and MS-related clinical characteristics and children’s developmental health. We therefore carried out a population-based study to investigate the association between parental MS and MS-related clinical factors such as the presence of mental and physical comorbidity, disability level, and disease duration on the child’s developmental outcomes.

Methods

Data sources

Information on study subjects was obtained from several population-based linked health and education databases in British Columbia. The publicly funded provincial health care program in British Columbia covers all residents and a lifelong unique personal health care number is assigned to each individual. Anonymized linked data included the: Medical Services Plan[10] database (fee-for-service physician billing claims); Discharge Abstract Database[11] (hospital admission and discharge records); PharmaNet[12] (prescription drug data); Census GeoData (socioeconomic status (SES) data expressed as average neighborhood income quintiles, using postal codes via Statistics Canada); Consolidation Files (demographic and residency data); Vital Statistics Birth[13] database (all births in the province); and the Early Development Instrument (EDI)[14] (early childhood developmental health data via the Human Early Learning Partnership).[15] MS-related clinical information (i.e. disease course and disability level) was obtained for a subset of individuals via linkage with the British Columbia MS database.[16]

Study cohorts

Parents with MS were identified using a validated algorithm as those with ⩾3 records for a relevant hospital or physician claim between 1 April 1985 and 31 December 2011 or a relevant prescription claim after 1 April 1996 (Appendix Table 1—Supplementary Material).[17] Using the birth registry and the Consolidation File databases, individuals with MS were linked to their offspring. All persons with MS who had a child born between 1 January 1994 and 31 December 2006, with EDI data were included in the study cohort. These birth dates allowed each child to have reached his/her fifth birthday between 1999 and 2011 and to have been part of the EDI data collection. The onset date of MS was based on the first date for MS or a demyelinating condition identified in any hospital, physician, or prescription claims (Appendix Table 1—Supplementary Material). Up to four children with parents who were not known to have MS or any demyelinating condition, selected from the population of British Columbia, matched on year of birth and school district, formed the comparison group. The MS-affected parent was also matched by sex to a parent in the reference cohort. Matches for parental sex could not be obtained in 4% of instances and the next available parent in the database was selected in such cases. Children, both of whose parents had MS, were excluded from the study.

Outcomes and determinants

The primary outcome of interest was childhood development, as measured by the EDI. The EDI has routinely been administered province-wide every 1 to 3 years since the 1999/2000 school year, achieving at least 85% participation of kindergarten children from each school district in the province. Teachers completed the EDI for each child in their kindergarten class (age range = 5–7 years) in February. The EDI consists of 104 binary and three-category items designed to tap five core areas of early childhood development:[14,18] physical health and well-being; social competence; emotional maturity; language and cognitive development; and communication skills and general knowledge (see Appendix 2—Supplementary Methods).[14] The EDI domains are highly skewed and are not amenable to simple transformation. Hence, children’s scores on the EDI outcomes were categorized as “developmentally vulnerable” if their scores fell below the 10th centile value[19] based on the national EDI cut-off scores for each of the five domains. These can be interpreted as the child demonstrating a lower-than-average ability (<10th centile) in the competencies measured in that domain.[20] Previous studies have shown that as the number of vulnerable domains increases, so does the future probability of failure to achieve basic competencies at ages 8, 10, and 12 years.[21-23] The main determinant of interest was the presence (vs absence) of parental MS. Other variables of interest included were: the child’s sex, child’s first language at home (English vs other), age of the child at the time of the EDI assessment (in years), and SES. Parental characteristics of interest were parental age at the time of child’s birth, sex, and comorbidity. We studied all comorbidities affecting ⩾5% of the overall MS population.[24] Parental comorbid conditions examined included mental health disorders (either depression or anxiety disorder)[7] and physical comorbidity (i.e. presence of diabetes mellitus, hypertension, hyperlipidemia, or chronic lung disease)[25] before the EDI data collection. All comorbidities were identified using previously validated algorithms based on hospital, physician visit (using the International Classification of Diseases codes (ICD-9/10-CA)), and prescription information (Drug Identification Numbers and the Anatomical Therapeutic Chemical classification system).[7,25]

Statistical analyses

Conditional logistic regression was used to compare the characteristics of the parent-child dyads in the MS and matched reference cohorts. Multivariable conditional logistic regression models were used to determine the association between parental MS and vulnerability on one or more domains as well as on each domain of the EDI separately, adjusted for potential confounders. Generalized estimating equations, with an assumed unstructured correlation framework, were used to adjust the variance as some parents had more than one child in the cohort. Confounders were included in the final models based on the literature[19,26] or statistical significance (p < 0.1). The full model included age of the child at the time of EDI completion (continuous), child’s sex (female vs male), SES (expressed as quintiles), parental age (continuous), parental mental morbidity (present vs absent), parental physical comorbidity (present vs absent) and parental sex (male vs female). Interactions between parental MS and confounders were examined and stratified results were presented when an interaction was present. The association between MS-related clinical factors on the child’s developmental health was examined within the MS cohort. Analyses restricted to the MS cohort included an assessment of the association of parental mental comorbidity (present vs absent); parental physical comorbidity (present vs absent); the duration of parental MS (i.e. time from onset of MS to the child’s EDI assessment); and disability level (as measured by the Expanded Disability Status Scale (EDSS) score)[27] at the time of EDI data collection (±3 years) with each EDI domain. MS disease duration was categorized as: <5, 5 to <10, and ⩾10 years. MS disability was dichotomized <4.0 vs ⩾4.0 on the EDSS (an EDSS of ⩾4 signifies moderate or severe disability). Results were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). Regression model fit was assessed using the likelihood ratio test, and a two-sided p < 0.05 was used to determine statistical significance. Analyses were performed using SAS Version 9.2 (SAS Institute Inc., Cary, NC). The University of British Columbia’s Clinical Research Ethics Board approved the study.

Results

After applying the exclusion criteria, the final study population consisted of 783 children with an MS parent and 2988 parent-child dyads in the matched reference cohort (Figure 1). The children of parents with and without MS were similar in terms of sex, age, and SES at the time of EDI data collection (Table 1). Parents affected by MS were on average 1.5 years older, and were more likely to be English speakers. The frequency of physical comorbidity was similar among parents with and without MS, although mental health morbidity affected considerably more parents with MS compared with non-MS parents (39.6% vs 22.2%, p < 0.001).
Figure 1.

Schematic depiction of the cohort selection.

Table 1.

Characteristics of the children of parents with and without MS, British Columbia, Canada.

CharacteristicsParent with MS (n = 783)
Matched reference cohort (n = 2988)
P value
No.SD (%)No.SD (%)
Sex of the child
 Female40351.5145048.50.13
 Male38048.5153851.5
Child’s age at EDI collection (years), mean (SD)5.60.35.70.30.17
Child’s first language
 English71190.8238679.9<0.001
 Other729.260220.1
Sex of the parent
 Female54369.4221174.0<0.001
 Male24030.777726.0
Parental age at the time of birth (years), mean (SD)32.35.530.86.0
 <25617.849916.7<0.001
 25–2920426.182227.5
 30–3428035.896132.2
 ⩾3523830.470623.6
Socioeconomic status
 5th quintile (highest)15419.761020.40.13
 4th quintile18023.065622.0
 3rd quintile18223.260420.2
 2nd quintile15119.357519.3
 1st quintile (lowest)11614.854318.2
Parental mental health morbidity
 No47360.4232677.8<0.001
 Yes31039.666222.2
Depressive disorders[b]23029.464615.5
Anxiety disorders[b]15920.335611.9
Parental physical comorbidity
 No57373.2223474.8
 Yes21026.875425.20.35
Chronic lung disease[b]13216.946415.5
Hypertension[b]638.11876.3
Hyperlipidemia[b]273.51053.5
Diabetes mellitus[b]232.91284.3

MS: multiple sclerosis; SD: standard deviation; EDI: Early Development Instrument.

From conditional logistic regression that accounted for matching at the design stage.

Denominator is all individuals within each cohort.

Schematic depiction of the cohort selection. Characteristics of the children of parents with and without MS, British Columbia, Canada. MS: multiple sclerosis; SD: standard deviation; EDI: Early Development Instrument. From conditional logistic regression that accounted for matching at the design stage. Denominator is all individuals within each cohort. The disease characteristics of the MS parents are shown in Table 2. The median age at onset of MS was 31 years and 35% of the parents were ever on MS disease-modifying medication. The median disease duration at the time of EDI completion was 5.4 years (range = <1–26 years). Of the 280 (36%) MS parents for whom an EDSS score was available, most (81%) had minor neurological findings, while 19% had moderate or severe disability.
Table 2.

Characteristics of the cohort with MS (n = 783 parents), British Columbia, Canada.

CharacteristicsMS parent no. (%)
Ever on MS disease-modifying treatments as of EDI assessment
 Yes[a]272 (34.7)
 No511 (65.3)
Age of parent at MS onset (years)
 <2023 (3.0)
 20–29314 (40.1)
 30–39384 (49.0)
 ⩾4062 (7.9)
 Median (range)31.1 (11.7–54.1)
Parental MS disease duration at the time of the EDI assessment (years)
 <5358 (45.7)
 5–9224 (28.6)
 ⩾10201 (25.7)
 Median (range)5.4 (<1.0–25.6)
Child exposure to MS parent at the time of the EDI assessment (years)
 0–<2150 (19.2)
 2–4208 (26.5)
 ⩾5425 (54.3)
 Median (range)5.2 (<1.0–6.4)
Parental MS onset occurred after the child was born
 Yes406 (51.8)
 No377 (48.2)
Disease course[b]
 Relapsing-remitting at onset381 (94.5)
 Primary progressive22 (5.5)
EDSS score[b]
 <4.0228 (81.4)
 ⩾452 (18.5)
 Median (range)2.0 (0–9.5)

MS: multiple sclerosis; EDI: Early Development Instrument; EDSS: Expanded Disability Status Scale.

n = 64 (23.5%) were exposed to glatiramer acetate and n = 208 (76.5%) to a beta-interferon.

Disease course and EDSS data were available on a subset of MS parents.

Characteristics of the cohort with MS (n = 783 parents), British Columbia, Canada. MS: multiple sclerosis; EDI: Early Development Instrument; EDSS: Expanded Disability Status Scale. n = 64 (23.5%) were exposed to glatiramer acetate and n = 208 (76.5%) to a beta-interferon. Disease course and EDSS data were available on a subset of MS parents. The presence of vulnerability within each of the EDI domains by parental MS is shown in Figure 2. Overall, 29% (1086/3771) of children were vulnerable on one or more domains of the EDI, with physical and social domains having the highest rates of vulnerability at 15% (547/3771) and 12% (452/3771), respectively.
Figure 2.

Rates of children’s vulnerability (%) within each Early Development Instrument (EDI) domain by parental multiple sclerosis (MS) status, British Columbia, Canada.

Error bars represent 95% confidence intervals.

Rates of children’s vulnerability (%) within each Early Development Instrument (EDI) domain by parental multiple sclerosis (MS) status, British Columbia, Canada. Error bars represent 95% confidence intervals. The unadjusted analysis (Table 3) showed that children of parents with MS had lower odds of vulnerability on one or more domains of the EDI compared with children in the matched reference cohort (OR = 0.79, 95% CI = 0.66–0.95). Greater odds of vulnerability on one or more domains of the EDI were also observed among boys, children who were younger at completion of the EDI, children who were in the lower income quintiles (vs highest), and those whose parents had a mental or physical comorbidity (Table 3). In the adjusted model (Table 3), parental sex modified the relationship between parental MS and vulnerability on the EDI (p for interaction 0.05). In analyses stratified by parental sex, the odds of vulnerability on one or more domains of the EDI were significantly lower among children of mothers with MS compared with the children of mothers without MS (adjusted odds ratio (aOR) = 0.75, 95% CI = 0.60–0.95). Paternal MS did not show this association.
Table 3.

Unadjusted and adjusted odds ratios and 95% confidence intervals showing the association between parental MS and the child’s vulnerability on the EDI, British Columbia, Canada.

FactorsVulnerability on one or more domains of the EDI
Odds ratio (95% confidence interval)
Unadjusted[a]Adjusted[b]MothersFathers
Parental MS (vs absence)0.79 (0.66–0.95)*0.75 (0.60–0.94)*0.75 (0.60–0.95)*1.07 (0.77–1.48)
Sex of the child: female (vs male)0.44 (0.38–0.50)*0.42 (0.36–0.49)*0.43 (0.36–0.51)*0.40 (0.3–0.53)*
Child’s age at EDI completion (years)0.57 (0.44–0.74)*0.57 (0.44–0.74)*0.56 (0.42–0.76)*0.58 (0.35–0.97)*
Socioeconomic status (vs 5th quintile)
 4th1.36 (1.08–1.72)*1.31 (1.03–1.67)*1.17 (0.88–1.55)1.81 (1.13–2.89)*
 3rd1.67 (1.33–2.11)*1.57 (1.23–2.00)*1.53 (1.15–2.04)*1.72 (1.07–2.76)*
 2nd1.76 (1.39–2.23)*1.57 (1.22–2.01)*1.57 (1.18–2.10)*1.59 (0.97–2.58)
 1st (most disadvantaged)2.39 (1.89–3.03)*2.11 (1.65–2.70)*2.09 (1.57–2.79)*2.20 (1.37–3.54)*
Child’s first language (English vs other)0.59 (0.49–0.70)*0.63 (0.52–0.75)*0.61 (0.49–0.76)*0.68 (0.48–0.96)*
Sex of the parent: father (vs mother)1.00 (0.85–1.17)1.04 (0.86–1.27)
Parental age at the time of child’s birth (years)0.97 (0.96–0.98)*0.97 (0.96–0.98)*0.97 (0.96–0.99)*0.97 (0.95–0.99)*
Parental mental health morbidity (vs absence)1.18 (1.01–1.38)*1.24 (1.05–1.47)*1.28 (1.05–1.55)*1.15 (0.78–1.68)
Parental physical comorbidity (vs absence)1.27 (1.09–1.49)*1.27 (1.07–1.50)*1.27 (1.04–1.54)*1.27 (0.91–1.75)
Parental MS × sex of parent1.44 (0.97–2.14)
FactorsSocial competence domain
Unadjusted[a]Adjusted[b]MothersFathers
Parental MS (vs absence)0.76 (0.59–0.98)*0.61 (0.43–0.86)*0.62 (0.44–0.87)*1.15 (0.75–1.78)
Sex of the child: female (vs male)0.37 (0.30–0.45)*0.36 (0.29–0.45)*0.30 (0.24–0.40)*0.54 (0.36–0.79)*
Child’s age at EDI completion (years)0.89 (0.63–1.26)0.86 (0.61–1.23)0.86 (0.58–1.30)0.77 (0.37–1.60)
Socioeconomic status (vs 5th quintile)
 4th1.41 (1.00–1.98)*1.38 (0.98–1.94)1.28 (0.84–1.95)1.64 (0.89–3.02)
 3rd1.63 (1.61–2.28)*1.63 (1.15–2.30)*1.80 (1.20–2.71)*1.27 (0.66–2.45)
 2nd1.55 (1.10–2.19)*1.50 (1.05–2.14)*1.78 (1.17–2.69)*0.89 (0.43–1.81)
 1st (most disadvantaged)2.48 (1.79–3.45)*2.37 (1.69–3.33)*2.41 (1.61–3.61)*2.29 (1.24–4.26)*
Child’s first language (English vs other)0.93 (0.72–1.20)1.02 (0.78–1.32)0.86 (0.63–1.17)1.65 (0.93–2.93)
Sex of the parent: father (vs mother)0.99 (0.79–1.23)0.96 (0.74–1.25)
Parental age at the time of child’s birth (years)0.97 (0.95–0.99)*0.98 (0.96–1.00)0.98 (0.95–1.00)0.98 (0.95–1.02)
Parental mental health morbidity (vs absence)1.28 (1.03–1.59)*1.30 (1.03–1.63)*1.39 (1.08–1.80)*1.05 (0.64–1.73)
Parental physical comorbidity (vs absence)1.19 (0.95–1.48)1.18 (0.94–1.48)1.29 (0.99–1.67)0.86 (0.54–1.37)
Parental MS × sex of parent1.99 (1.14–3.46)*

MS: multiple sclerosis; EDI: Early Development Instrument.

Unadjusted model: children in the MS and reference cohorts were matched on child’s year of birth, school district and sex of the parent.

Model adjusted for matching factors plus the variables listed in the table.

p < 0.05.

Unadjusted and adjusted odds ratios and 95% confidence intervals showing the association between parental MS and the child’s vulnerability on the EDI, British Columbia, Canada. MS: multiple sclerosis; EDI: Early Development Instrument. Unadjusted model: children in the MS and reference cohorts were matched on child’s year of birth, school district and sex of the parent. Model adjusted for matching factors plus the variables listed in the table. p < 0.05. Analyses examining the association between parental MS and each domain of the EDI demonstrated that parental MS was associated with statistically significantly lower odds of vulnerability on the social competence domain of the EDI (Table 3). Parental MS was not significantly associated with vulnerability on any of the other four EDI domains (Appendix Table 2—Supplementary Material). Furthermore, parental sex modified the relationship between parental MS and vulnerability on the social domain (p for interaction = 0.01). The odds of vulnerability on the social competence domain was 38% lower among children of mothers with MS compared with the children of mothers without MS (aOR = 0.62, 95% CI = 0.44–0.87; Table 3). Paternal MS did not show the same association. Within the MS cohort (n = 783), children with an MS mother who also had mental health comorbidity had 62% greater odds of vulnerability on one or more domains of the EDI (aOR = 1.62, 95% CI = 1.05–2.50; Table 4) compared with MS mothers without mental health comorbidity. This effect was significant for two domains: language and cognitive development and physical health. Paternal MS with mental health comorbidity was associated with higher odds of vulnerability on the emotional domain of the EDI (aOR = 2.52, 95% CI = 1.01–6.26) compared with paternal MS without mental health comorbidity. Presence of physical comorbidity in mothers with MS put children at significantly higher odds of vulnerability on one or more domains of the EDI (aOR = 1.67, 95% CI = 1.05–2.64). There was a two-fold greater odds of vulnerability on the physical health domain (aOR = 2.58, 95% CI = 1.10–6.05) and five-fold greater odds of vulnerability on language and cognitive development (aOR = 5.02, 95% CI = 1.67–15.1) domain of the EDI, among children of parents with moderate to severe disability compared with those with less severe disability (Appendix Table 3—Supplementary Material). Although disease duration was not significantly associated with vulnerability on any of the EDI domains, children of mothers with a disease duration of ⩾10 years had non-significantly higher odds of vulnerability on all domains of the EDI compared with mothers with a disease duration of <5 years (Table 4).
Table 4.

Associations between parental characteristics and the child’s vulnerability on the EDI domains stratified by parental sex among parents with MS, British Columbia, Canada (n = 783 children).

FactorsOdds ratio (95% confidence interval)[a]
Mothers with MSFathers with MS
Parental mental health morbidity (present vs absent)
 One or more domains1.62 (1.05–2.50)*1.04 (0.53–2.05)
 Physical health and well-being2.15 (1.24–3.72)*0.98 (0.42–2.26)
 Social competence1.27 (0.67–2.42)1.66 (0.73–3.74)
 Emotional maturity1.49 (0.82–2.69)2.52 (1.01–6.26)*
 Language and cognition2.78 (1.36–5.71)*1.14 (0.43–3.03)
 Communication skills1.13 (0.55–2.36)0.37 (0.12–1.20)
Parental physical comorbidity (present vs absent)
 One or more domains1.67 (1.05–2.64)*1.52 (0.77–2.99)
 Physical health and well-being1.69 (0.98–2.93)0.94 (0.41–2.16)
 Social competence1.87 (0.96–3.64)0.59 (0.23–1.54)
 Emotional maturity1.49 (0.80–2.74)1.25 (0.42–3.73)
 Language and cognition1.46 (0.67–3.17)2.35 (0.95–5.81)
 Communication skills2.10 (0.90–4.89)1.17 (0.42–3.25)
Parental MS disease duration
 5–10 years (vs <5 years)
  One or more domains1.13 (0.66–1.92)1.17 (0.59–2.32)
  Physical health and well-being1.10 (0.55–2.17)0.85 (0.39–1.86)
  Social competence0.94 (0.42–2.10)0.80 (0.34–1.88)
  Emotional maturity1.64 (0.82–3.31)0.79 (0.32–1.96)
  Language and cognition0.79 (0.34–1.80)0.49 (0.17–1.42)
  Communication skills1.51 (0.69–3.30)0.57 (0.22–1.46)
 ⩾10 years (vs <5 years)
  One or more domains1.21 (0.72–2.03)0.77 (0.34–1.76)
  Physical health and well-being1.49 (0.76–2.94)0.53 (0.18–1.55)
  Social competence1.03 (0.48–2.18)0.85 (0.29–2.48)
  Emotional maturity1.43 (0.72–2.86)0.29 (0.06–1.48)
  Language and cognition1.37 (0.60–3.14)0.44 (0.12–1.63)
  Communication skills1.42 (0.61–3.31)0.45 (0.13–1.59)

MS: multiple sclerosis; EDI: Early Development Instrument; SES: socioeconomic status.

Model adjusted for parental mental morbidity, parental physical comorbidity, parental disease duration, child’s sex, age of the child at EDI, SES, child’s first language.

p < 0.05.

Associations between parental characteristics and the child’s vulnerability on the EDI domains stratified by parental sex among parents with MS, British Columbia, Canada (n = 783 children). MS: multiple sclerosis; EDI: Early Development Instrument; SES: socioeconomic status. Model adjusted for parental mental morbidity, parental physical comorbidity, parental disease duration, child’s sex, age of the child at EDI, SES, child’s first language. p < 0.05.

Discussion

In this large population-based study, we showed that children of parents who had MS had a lower risk of developmental vulnerability at 5 years of age, as measured by the EDI. However, this relationship was modified by the sex of the affected parent. Children of mothers with MS had lower risk of vulnerability on the social development domain of the EDI compared with the matched children of mothers without MS. This association was not observed for fathers. However, even though parental MS did not independently increase the risk of vulnerability in children, mental health morbidity and physical health, comorbidity in the mothers with MS were both associated with a higher risk of developmental vulnerability on the language and cognition and the physical health and well-being domains (compared with children of mothers who had MS but no mental health comorbidity). On the other hand, children of fathers with MS who had a co-existing mental health condition were at an elevated risk of vulnerability on the emotional maturity domain. Finally, children whose MS parent had moderate to severe disability had a higher risk of vulnerability on the physical health, and language and cognition development domains of the EDI compared with children whose MS-affected parent had less severe disability. The lower risk of developmental vulnerability in children with parental MS in this study extends previous work by our group based on a smaller cohort from Manitoba where we were unable to find a significant positive association.[9] Although similar trends were observed, the relative small size of the MS cohort in the Manitoba study (n = 153 vs 783 in this study) likely limited our ability to detect differences.[9] Other qualitative and cross-sectional studies have also shown that parental MS imposes a greater burden of domestic/household duties on children and this results in an increase in pro-social behaviour.[28,29] Children from such families describe having higher personal competence, feeling more empathetic to others and more “grown-up,” as the benefits to having a parent with MS.[30] Even though these studies were focused on older children, such findings are consistent with the hypothesis that mild, intermittent stressors (positive stress) in a child’s life may have beneficial effects and are likely helpful for child development.[31] However, we cannot rule out adverse effects in later childhood and adolescence especially if the stress increases measurably.[32] In our study, children of mothers with MS (but typically not those of fathers with MS) had lower rates of overall vulnerability on the EDI and specifically on the social domain of the EDI. To the best of our knowledge, there are no similar studies on the issue of the parental sex (or gender), MS, and child development. Nevertheless, the broader literature does suggest that children who have a mother with a chronic condition, such as MS, do not experience serious academic difficulties unless the burden of illness and associated stress reach an extreme level.[33] Although, we were able to demonstrate a difference between the effects of paternal MS on developmental vulnerability, our study was likely underpowered to examine the possible association(s) between paternal MS and early childhood development. The negative association between mental and physical comorbidity and vulnerability on the EDI is consistent with findings from previous work demonstrating that children whose parent had both MS and a mental health condition (vs MS, but no mental health comorbidity) were at an increased risk of vulnerability on emotional maturity and social competence domains of development.[9,34] Further, in our subgroup of MS parents with information on disability (as measured by the EDSS), a greater level of MS-related disability in the parent was associated with an increased risk of developmental vulnerability among children. The literature suggests that disability in parents may disrupt parenting and constrain them from accessing timely care for their children.[35] Indeed, studies with older children show that parental MS-related disability has adverse effects on youth adjustment and family functioning through the higher caregiving demand on the youth and the potential stigma related to the parent’s disability.[36] The strengths of our study include the large study size, the comprehensive population-based nature of our cohort, and the use of previously validated case definitions for both MS and other morbidity. Approximately one-third of MS parents were ever on a MS disease-modifying medication which is compatible with rates of such treatment seen in the MS population in British Columbia[37] (despite being lower than that observed in some MS specialty clinic-based cohorts). The EDI assessment by teachers avoided reliance on parental or self-report of the child’s developmental health. Although the EDI has undergone significant psychometric testing to confirm validity and reliability as a research tool,[14,38] there may be some individual differences in teachers’ ability to evaluate developmental health.[39] The relatively small number of MS-affected fathers limited our ability to draw robust conclusions about the association between paternal MS and developmental health in children. Also, we were only able to identify morbidity among subjects whose condition was recognized by the health care system, and hence morbidity rates may have been underestimated. Finally, we did not have access to ethnicity and family-specific information on SES, and used neighborhood-level average income as a proxy for families’ SES. In summary, our population-based study demonstrates that maternal MS is associated with lower rates of developmental vulnerability, specifically vulnerability on the social development domain, in children at 5 years of age. However, although parental MS was not independently associated with developmental vulnerability in children, presence of mental and physical comorbidity, and greater disability in MS-affected parents are associated with higher risk of developmental vulnerability in children. Parents affected by MS who also have co-existing mental and physical comorbidity may benefit from appropriate support strategies and services that will help them mitigate adverse developmental effects on their children.
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Review 1.  Psychosocial adjustment in children and adolescents with a parent with multiple sclerosis: a systematic review.

Authors:  Angeliki Bogosian; Rona Moss-Morris; Julie Hadwin
Journal:  Clin Rehabil       Date:  2010-08-04       Impact factor: 3.477

2.  Disability as a "family affair": parental disability and childhood immunization.

Authors:  Raymond R Hyatt; Susan M Allen
Journal:  Med Care       Date:  2005-06       Impact factor: 2.983

3.  Trajectories of maternal depressive symptoms predict child problem behaviour: the Generation R study.

Authors:  R A M Cents; S Diamantopoulou; J J Hudziak; V W V Jaddoe; A Hofman; F C Verhulst; M P Lambregtse-van den Berg; H Tiemeier
Journal:  Psychol Med       Date:  2012-04-11       Impact factor: 7.723

4.  Emotional and behavioural difficulties in children of parents with multiple sclerosis: a controlled study in Greece.

Authors:  Stavroula Diareme; John Tsiantis; Gerasimos Kolaitis; Spyros Ferentinos; Emmanuel Tsalamanios; Elena Paliokosta; Sophia Anasontzi; Eirini Lympinaki; Dimitris C Anagnostopoulos; Costas Voumvourakis; Georg Romer
Journal:  Eur Child Adolesc Psychiatry       Date:  2006-04-13       Impact factor: 4.785

5.  How do adolescents adjust to their parent's multiple sclerosis? An interview study.

Authors:  Angeliki Bogosian; Rona Moss-Morris; Felicity L Bishop; Julie Hadwin
Journal:  Br J Health Psychol       Date:  2011-03-10

6.  From Kindergarten readiness to fourth-grade assessment: longitudinal analysis with linked population data.

Authors:  Jennifer E V Lloyd; Clyde Hertzman
Journal:  Soc Sci Med       Date:  2008-11-03       Impact factor: 4.634

7.  School readiness and later achievement.

Authors:  Greg J Duncan; Chantelle J Dowsett; Amy Claessens; Katherine Magnuson; Aletha C Huston; Pamela Klebanov; Linda S Pagani; Leon Feinstein; Mimi Engel; Jeanne Brooks-Gunn; Holly Sexton; Kathryn Duckworth; Crista Japel
Journal:  Dev Psychol       Date:  2007-11

8.  The burden of mental comorbidity in multiple sclerosis: frequent, underdiagnosed, and undertreated.

Authors:  R A Marrie; R Horwitz; G Cutter; T Tyry; D Campagnolo; T Vollmer
Journal:  Mult Scler       Date:  2009-01-19       Impact factor: 6.312

9.  High incidence and increasing prevalence of multiple sclerosis in British Columbia, Canada: findings from over two decades (1991-2010).

Authors:  Elaine Kingwell; Feng Zhu; Ruth Ann Marrie; John D Fisk; Christina Wolfson; Sharon Warren; Joanne Profetto-McGrath; Lawrence W Svenson; Nathalie Jette; Virender Bhan; B Nancy Yu; Lawrence Elliott; Helen Tremlett
Journal:  J Neurol       Date:  2015-07-24       Impact factor: 4.849

10.  Differential Outcomes of Adolescents with Chronically Ill and Healthy Parents.

Authors:  Dominik Sebastian Sieh; Johanna Maria Augusta Visser-Meily; Anne Marie Meijer
Journal:  J Child Fam Stud       Date:  2012-02-22
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  5 in total

Review 1.  Multiple sclerosis in men: management considerations.

Authors:  Riley Bove; Allison McHenry; Kerstin Hellwig; Maria Houtchens; Neda Razaz; Penelope Smyth; Helen Tremlett; A D Sadovnick; D Rintell
Journal:  J Neurol       Date:  2016-01-02       Impact factor: 4.849

2.  Educational achievements of children of parents with multiple sclerosis: A nationwide register-based cohort study.

Authors:  J Y Moberg; M Magyari; N Koch-Henriksen; L C Thygesen; B Laursen; P Soelberg Sørensen
Journal:  J Neurol       Date:  2016-08-19       Impact factor: 4.849

Review 3.  Young People's Response to Parental Neurological Disorder: A Structured Review.

Authors:  Lilian Hartman; Crispin Jenkinson; David Morley
Journal:  Adolesc Health Med Ther       Date:  2020-03-26

4.  Mental health among children of mothers with multiple sclerosis: A Danish cohort and register-based study.

Authors:  Johanna Balslev Andersen; Julie Yoon Moberg; Janni Niclasen; Bjarne Laursen; Melinda Magyari
Journal:  Brain Behav       Date:  2018-09-21       Impact factor: 2.708

5.  Perinatal Depression and Anxiety in Women With Multiple Sclerosis: A Population-Based Cohort Study.

Authors:  Karine Eid; Øivind Fredvik Torkildsen; Jan Aarseth; Heidi Øyen Flemmen; Trygve Holmøy; Åslaug Rudjord Lorentzen; Kjell-Morten Myhr; Trond Riise; Cecilia Simonsen; Cecilie Fredvik Torkildsen; Stig Wergeland; Johannes Sverre Willumsen; Nina Øksendal; Nils Erik Gilhus; Marte-Helene Bjørk
Journal:  Neurology       Date:  2021-04-21       Impact factor: 9.910

  5 in total

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