Abstract
Objective
A diagnosis of inflammatory bowel disease (IBD) in children can disrupt the family, including altered routines and increased medical responsibilities. This may increase parenting stress; however, little is known about parenting stress changes over the first year following an IBD diagnosis, including what demographic, disease, or psychosocial factors may be associated with parenting stress over time.
Methods
Fifty-three caregivers of children newly diagnosed with IBD (Mage = 14.17 years; Mdays since diagnosis = 26.15) completed parenting stress (Pediatric Inventory for Parents), child anxiety (Screen for Child Anxiety-Related Disorders), and child health-related quality of life (HRQOL; IMPACT) measures within 1 month of diagnosis and 6-month and 1-year follow-ups. Multilevel longitudinal models assessed change and predictors of parenting stress.
Results
Parenting stress was significantly associated with greater child anxiety and lower HRQOL at diagnosis (rs = 0.27 to −0.53). Caregivers of color and caregivers of female youth reported higher parenting stress at diagnosis (ts = 2.02–3.01). Significant variability and declines in parenting stress were observed across time (ts = −2.28 and −3.50). In final models, caregiver race/ethnicity and child HRQOL were significantly related to parenting stress over the first year of diagnosis (ts = −2.98 and −5.97).
Conclusion
Caregivers’ parenting stress decreases across 1 year of diagnosis. However, caregivers of color and those rating their child’s HRQOL as lower may be at risk for greater parenting stress. More research is needed to understand why caregivers of color reported greater parenting stress compared to White caregivers. Results highlight the importance of providing whole-family care when a child is diagnosed with IBD.
Keywords: inflammatory bowel disease, parenting stress
Introduction
Inflammatory bowel diseases (IBD) are a group of gastrointestinal diseases that include Crohn’s disease (CD) and ulcerative colitis (UC). Individuals with IBD experience inflammation of the gastrointestinal tract, which can cause abdominal pain, fever, fatigue, diarrhea, hematochezia, weight loss, and growth delays in youth (Diefenbach & Breuer, 2006; Mackner et al., 2004). An estimated 20–30% of individuals with IBD have an onset of symptoms before the age of 18 (Malaty et al., 2010; Sawczenko et al., 2001). A diagnosis of pediatric IBD may affect the child most directly, but impacts are felt across the entire family system. Caring for a child with IBD places caregivers at risk for increased parenting stress as they manage the demands of a complex treatment regimen, their child’s relapsing and remitting symptoms, risk for long-term consequences, increased financial burden and health insurance difficulties, and the emotional impacts of an unpredictable chronic illness on all family members (Gray et al., 2013). These potential stressors are on top of the expected parenting demands. Recognition of the additive stressors experienced by parents of children with chronic illnesses led to the development of the Pediatric Inventory for Parents (PIP), an assessment tool validated to measure both the frequency and difficulty of parenting stress associated with caring for a child with a chronic condition (Streisand, 2001). Measuring both frequency and difficulty highlights the importance of both the occurrence and cognitive appraisal of stressors in coping.
Parenting stress has been examined in relation to both child and parent demographic variables in pediatric IBD samples. Older caregiver age and completion of a 4-year college degree have been associated with lower frequency of parenting stress (Guilfoyle et al., 2012). Parent report of parenting stress has not consistently differed based on parent marital status, family socioeconomic status (SES), child age, or sex (Guilfoyle et al., 2012; Plevinsky et al., 2018). Across several studies examining disease variables related to parenting stress, studies have yielded mixed results, such that parenting stress is related to greater disease severity or activity in some samples, while others show no relation between parenting stress and disease variables (G. Cushman et al., 2020; Gray et al., 2015; Guilfoyle et al., 2014; Plevinsky et al., 2018). Differences in parenting stress have also been investigated based on child psychosocial functioning including internalizing symptoms (e.g., anxiety, depression, somatization), externalizing symptoms (e.g., aggression), and global psychological functioning. In cross-sectional studies of youth diagnosed with IBD, higher parenting stress has been associated with greater adolescent-reported internalizing, but not externalizing problems (Gray et al., 2013), as well as with poorer overall psychological functioning (Plevinsky et al., 2018). When parents of youth with IBD rated their children’s symptoms of psychopathology, parenting stress was significantly greater among those reporting borderline and clinically elevated internalizing symptoms in their children (Gray et al., 2013).
Using a cross-lagged panel model, Guilfoyle et al. (2014) demonstrated that baseline parenting stress frequency contributed to elevated adolescent-reported depressive symptoms 6 months later (Guilfoyle et al., 2014). Beyond this study, multi-time point assessments of parenting stress and child psychosocial outcomes in youth with IBD have not been published, limiting conclusions on how these constructs change and are related to one another over time, though findings among other pediatric populations, including caregivers of children with new cancer diagnoses, suggest decreases in parenting stress over time as families adjust to disease symptoms and treatment (Fedele et al., 2011; Phipps et al., 2005). Furthermore, the majority of current literature in pediatric IBD relies on internalizing symptoms grouped together, limiting conclusions on how parenting stress may be differentially related to distinct aspects of child functioning, which may inadvertently limit clinical application of findings. The current study aims to examine parenting stress as it relates to child anxiety symptoms, one facet of the broader internalizing symptom scales found to be associated with parenting stress in past research. Prevalence rates underscore the importance of examining anxiety in this population, as the rate of current anxiety disorder diagnosis was 28% in a newly diagnosed sample and in a separate study, 50% of youths scored above the clinical cutoff in one or more domains of anxiety (Burke et al., 1994; Reigada et al., 2015). Anxiety symptoms may be particularly relevant for youth newly diagnosed with IBD, given the uncertainty associated with diagnostic testing, starting treatment, and adjusting to a new illness. Past research outside of pediatric IBD also suggests that symptoms of anxiety may be particularly relevant to parenting stress and healthcare utilization. In a primary care sample, children whose parents reported more parenting stress had worse health-related quality of life (HRQOL) and visited the physician more for health-related complaints. Interestingly, this relationship was moderated by child anxiety, such that highly anxious children whose parents reported higher parenting stress had worse HRQOL than children with low symptoms of anxiety (Kidwell et al., 2015).
Higher parenting stress measured using the PIP has previously been associated with lower child HRQOL in a sample of adolescents diagnosed with IBD for varying amounts of time (Herzer et al., 2011). Child HRQOL is a particularly meaningful outcome given cross-sectional associations between poorer HRQOL and clinically elevated difficulties in problem solving, communication, and general family functioning in youth with IBD (Herzer et al., 2011). However, these findings are yet to be examined longitudinally or with regards to changes in parenting stress over time. This is particularly warranted given prior literature demonstrating significant improvements in HRQOL over the first year of diagnosis among youth recently diagnosed with IBD (Otley et al., 2006). It is not yet clear in the existing pediatric IBD literature how parenting stress and child HRQOL may relate over time.
The present study was designed to address gaps in the literature by using three waves of data collected from youth newly diagnosed with IBD and their families. The extent to which parenting stress frequency and difficulty changed over three time points across the first year of a child’s diagnosis with IBD was examined using multilevel growth modeling. We hypothesized that both parenting stress frequency and difficulty would decrease over the first year of diagnosis. In exploratory analyses, we tested change in parenting stress as a function of associated demographic and disease factors as well as changes in child anxiety and HRQOL.
Methods
Participants
Participants included 53 children and adolescents recently diagnosed with IBD and their caregivers. Inclusion criteria were (a) diagnosis with biopsy-confirmed IBD within the last 45 days, (b) child ages 8–17 years, (c) English language proficiency, and (d) accompanied by at least one caregiver to appointment. Exclusion criteria included (a) documented history or caregiver report of a developmental disorder or non-verbal presentation that would impede completion of questionnaires, and (b) a chronic illness diagnosis in addition to IBD that could reasonably contribute to greater distress or functional disability. A total of 81 caregiver–child dyads were approached to participate in a study on psychosocial functioning of patients newly diagnosed with IBD, of which 16 caregivers declined participation. An additional 9 dyads met inclusion criteria for diagnosis with IBD within the last 45 days but were not included in the study as remaining inclusion/exclusion criteria were not met (caregiver did not have rights to consent for research n = 1, caregiver did not speak English fluently n = 3, child had history of complex medical condition(s) n = 3, and child had developmental delay or cognitive impairment impeding completion of questionnaires n = 2). Of the remaining 56 dyads, 53 fully completed necessary questionnaires for the present study and were included in the subsequent analyses.
Procedures
All study procedures were approved by the Institutional Review Board. This study is part of a larger longitudinal investigation into psychosocial functioning and physiological reactivity. Families were sequentially approached at their gastroenterology clinic appointment by research staff and invited to complete questionnaires and physiological reactivity tasks if they met inclusion/exclusion criteria. Only questionnaire data are utilized in the present study. Families were invited to participate within 45 days of the child’s IBD diagnosis (time 1). Longitudinal questionnaire follow-up at 6 months (time 2) and 1 year (time 3) since diagnosis was undertaken at in-person clinic visits if a previously scheduled appointment aligned with research timeline or via email or phone-call communication. Participants provided informed consent and completed questionnaires through RedCap, a HIPAA compliant data collection software (Harris et al., 2019). Participants received $25 gift cards at each time point.
Measures
Demographics
Demographic information for youth and caregivers was collected via caregiver report at time 1 using a standard demographic questionnaire assessing caregiver (e.g., relationship to child, age, marital status, race/ethnicity, education, income) and child characteristics (e.g., age, sex, diagnosis, race/ethnicity). Responses included pre-determined response options, as well as “other” followed by free response when needed.
PIP
Stress associated with caring for a child with a chronic illness was measured using the caregiver-report PIP (Streisand, 2001). The measure consists of 42 medically related tasks and cognitions. Caregivers used a 5-point Likert scale to rate how often the task or thought occurs (PIP-Frequency; scale anchors: “never,” “rarely,” “sometimes,” “often,” or “very often”) and how difficult/stressful they found the task or thought (PIP-Difficulty; scale anchors: “not at all,” “a little,” “somewhat,” “very much,” or “extremely”), with scores in each domain ranging from 42 to 210. PIP-Frequency and PIP-Difficulty domains achieved excellent internal consistency at each time point (αs 0.94–0.96).
Screen for Child Anxiety-Related Disorders
Anxiety was examined using the caregiver-report Screen for Child Anxiety-Related Disorders (SCARED) (Birmaher et al., 1999). This 41-item measure consists of five domains: panic/somatic, generalized anxiety, separation anxiety, social anxiety, and school anxiety. Items across domains are reported on a 3-point Likert Scale (“not true or hardly ever true,” “somewhat true or sometimes true”, or “very true or often true”) and summed together to yield a total symptom severity score, with higher scores indicating greater anxiety (range 41–123). SCARED achieved excellent internal consistency at each time point (αs 0.93–0.95).
IMPACT
Caregiver report of their child’s HRQOL was assessed using the 35-item IMPACT-III-P (G. K. Cushman et al., 2020). The IMPACT-III-P is comprised of 6 subscales: bowel symptoms (7 items), systemic symptoms (3 items), emotional functioning (7 items), social functioning (12 items), body image (3 items), and treatment/interventions (3 items). Each item uses a 5-point Likert scale with values ranging from 1 to 5 and corresponding anchors varying across items, with higher scores representing better HRQOL. A total score was calculated by summing the responses from all 35 questions (range 35–175), achieving good to excellent internal consistency at each time point (αs 0.87–0.92).
Clinical Disease Activity
Clinical disease activity was examined via the physician-report Physicians Global Assessment (PGA). The PGA is a global measure of patients’ disease severity routinely completed by the treating pediatric gastroenterologist at each medical appointment as part of the site’s participation in ImproveCareNow (Crandall et al., 2011). Participants were assigned a rating of quiescent (i.e., inactive), mild, moderate, or severe disease activity based on clinical symptoms, examination, and laboratories. Child-reported symptoms of IBD were examined with the Self-Report Disease Activity measure (G. K. Cushman et al., 2020). Patients rated abdominal pain frequency and intensity in the past week, number of bowel movements (i.e., solid, mushy, diarrhea), presence of nocturnal diarrhea, blood in stool, and impairment in daily activities. Higher scores indicate more clinical symptoms.
Analytic Plan
Data were analyzed using SAS 9.4 (Cary, NC) and available on request. The MIXED procedure was used for multilevel longitudinal modeling. Multilevel longitudinal modeling, also referred to as longitudinal growth curve modeling, has several advantages to traditional longitudinal models (e.g., ANOVA), including the ability to model individual change (as compared to aggregate change in ANOVA models) and retain participants with missing data at some point during longitudinal data collection (as compared to listwise deletion). Further details about the advantages and applications of growth curve modeling within pediatric psychology research are available from DeLucia and Pitts (DeLucia & Pitts, 2006).
Two separate multilevel modeling procedures were conducted to assess predictors of change in parenting stress frequency and difficulty domains via PIP subscales. For each domain, the unconditional means model was first modeled to determine whether there was variation in the outcome and the proportion of variance occurring between persons, calculated as the intraclass correlation coefficient (ICC). Next, fixed linear growth models determined whether there was change over time on average across participants. After assessing for average change over time, unconditional linear growth models were examined to determine whether there was significant variability in the change of parenting stress frequency and difficulty over time across individuals.
Results from the saturated means, unstructured variance models revealed adequacy of a constant residual variance in the model for parenting stress frequency and the need for random intercept variance, given comparisons to nested models without these parameters. This is consistent with prior research demonstrating variability in parenting stress levels among caregivers of youth with IBD as assessed via the PIP (Gray et al., 2015; Guilfoyle et al., 2012). Alternative variance-covariance structures (e.g., Compound Symmetry, Autoregressive, Toeplitz) were evaluated compared to unstructured covariance structure through likelihood ratio tests using the Hoffman FitTest macro (Hoffman, 2015). Alternative structures did not provide a significantly improved fit from unstructured. As such, unstructured models were retained for both models. Furthermore, a comparison of model fit indices using −2LogLikelihood of nested fixed linear time and random linear time models revealed that modeling random linear time was not significantly better than fixed linear time, as such, fixed linear time was used for final models. The final longitudinal multilevel models included fixed linear time, random intercept, and unstructured covariance structures. Interactions of time with time-varying predictors were assessed in the models to determine whether predictors’ impact on the outcome differed by time. Interaction terms did not significantly improve model fit and were excluded.
Selection of predictor variables for inclusion in longitudinal multilevel models was based on factors found to be significantly associated (p < .05) with outcomes of interest at time 1 using tests of correlation and mean differences in addition to a priori hypotheses regarding constructs of interest. Time-varying predictors (e.g., caregiver-reported child HRQOL and anxiety) were entered into the model as both within-person variability (e.g., how values differ from a person’s individual average over time) and between-person variability (e.g., how individuals differ from the grand mean average over time) to account for between and within-person variability in predictors over time (Hoffman, 2015). For each time-varying predictor, a random time slope was examined to determine whether the predictor showed individually varying change over time. These were non-significant for the two time-varying predictors (i.e., anxiety, HRQOL), indicating that a random time slope was not indicated for these predictors. To calculate within-person mean-centered values (i.e., how different a person is from their individual average at each timepoint), a person’s individual average over 1 year was subtracted from their values at each completed wave. To calculate between-person variability values, the grand mean of the sample was subtracted from each person’s average to determine how different a person’s average is from the sample’s average over 1 year. Both within and between-person variability were included in separate interaction terms with time to assess whether predictor impact on parenting stress differed over time. Residual maximum likelihood was used in estimating and reporting all model parameters. Denominator degrees of freedom were estimated using the Satterthwaite method. For all tests, a p-value of <.05 was considered significant.
Results
Participant Demographic Information
Participants include 53 children and adolescents (M age = 14.17, SD = 2.31) recently diagnosis with IBD (M days since diagnosis = 26.15, SD = 11.68) and their caregivers (M age = 45.21, SD = 5.56). Fifty-seven percentage of children were female, and the majority were diagnosed with CD (79%). Most caregivers were biological mothers (77%) and White (74%). Full descriptives are presented in Table I. Fifty-three caregivers participated at time 1, 39 at time 2, and 32 at time 3, resulting in a follow-up participation rate of 74% and 60%, respectively. Common reasons for attrition included inability to make contact with families for follow-up or disinterest in continuing to participate in the study. There were no significant differences in race or study variables across those completing all time points or those dropping out (see Supplementary Table I).
Table I.
Demographics Table
| Mean (SD)/n (%) | Range | |
|---|---|---|
| Days since diagnosis at time 1 | 26.15 (11.68) | 11–46 |
| Caregiver age (years) | 45.21 (5.56) | 30–57 |
| Child age (years) | 14.17 (2.31) | 8.91–17.88 |
| Child gender | ||
| Female | 30 (57%) | |
| Male | 23 (43%) | |
| Caregiver relationship to child | ||
| Mother | 41 (77%) | |
| Father | 11 (21%) | |
| Grandparent | 1 (2%) | |
| Caregiver race/ethnicity | ||
| White | 39 (74%) | |
| Black/African American | 10 (19%) | |
| Hispanic | 1 (2%) | |
| Asian American | 1 (2%) | |
| More than one race | 2 (4%) | |
| Child diagnosis | ||
| Crohn’s | 42 (79%) | |
| Ulcerative colitis | 10 (19%) | |
| Indeterminate colitis | 1 (2%) | |
| Physician’s Global Assessment | ||
| Quiescent | 20 (38%) | |
| Mild | 23 (44%) | |
| Moderate | 9 (17%) | |
| Child-reported disease activity at time 1 | 10.28 (9.27) | 0–40 |
| Family income at time 1 | ||
| $10,000–$24,999 | 4 (8%) | |
| $25,000–$49,999 | 3 (6%) | |
| $50,000–$74,999 | 12 (23%) | |
| $75,000–$99,999 | 7 (14%) | |
| $100,000–$124,999 | 9 (17%) | |
| $125,000–$149,999 | 6 (12%) | |
| Above $150,000 | 11 (21%) | |
| Caregiver education | ||
| Less than bachelor’s degree | 16 (31%) | |
| Bachelor’s degree or higher | 36 (69%) |
Note. Physician’s Global Assessment available for n = 52 participants.
Relationships among Study Variables
There was no relationship between time 1 parenting stress frequency or difficulty and child or caregiver age at the time of diagnosis, child diagnosis (i.e., Crohn’s vs. UC), PGA, or time 1 child self-reported disease activity. At time 1, caregivers of girls reported significantly higher parenting stress frequency and difficulty compared to boys [frequency: t (51) = 3.01, p = .004, d = 0.83; difficulty: t (51) = 2.48, p = .02, d = 0.69]. Caregivers who identified as White reported significantly lower levels of parenting stress frequency at time 1 compared to caregivers who identified as caregivers of color (in the present study, this includes caregivers identifying as Black/African American, Hispanic, Asian American, or multiracial identity) t (51) = −2.31, p = .03, d = 0.72. No differences in parenting stress frequency or difficulty at Time 1 emerged related to caregiver-reported family income based on median split at $100,000 or caregiver education level based on median split at bachelor’s degree or higher. Caregiver-reported child anxiety was significantly related to parenting stress difficulty at diagnosis (r = 0.35, p = .01) and 1 year later (r = 0.36, p = .046). Caregiver-reported child HRQOL was related to parenting stress difficulty and frequency at all three timepoints across 1 year of diagnosis (rs −0.47 to −0.55, ps < .01). Correlations within study timepoints and comparisons across demographics at baseline are available in Supplementary Tables 2 and 3, respectively.
Changes in Parenting Stress Frequency and Difficulty over Time
Figure 1 shows raw data trajectories of parenting stress frequency and difficulty across the first year of the child’s IBD diagnosis. These graphs reveal two key points: (a) there appears to be variability in caregivers’ self-reported initial parenting stress frequency and difficulty at diagnosis, but also (b) variability in how caregivers’ self-reported parenting stress frequency and difficulty change over time across the first year of diagnosis. These points of variability are further modeled using longitudinal multilevel modeling. In the unconditional means model, ICCs of 0.28 and 0.46 for parenting stress frequency and difficulty, respectively, revealed that 28% and 46% of the variability in each domain was occurring at the between person level.
Figure 1.
Data trajectories for parenting stress frequency and difficulty over one year of IBD diagnosis. IBD, inflammatory bowel disease.
For parenting stress frequency and difficulty, estimated random intercept variances were 209.40 and 357.12 (ps < .01) and residual variances were 444.95 and 382.39 (ps < .001), respectively, suggesting substantial between and within-person variance. Fixed linear time, random intercept multi-level models of parenting stress frequency and difficulty with a main effect of time are summarized in the top and bottom halves of Table II. There was a significant main effect of time for both models, such that parenting stress frequency decreased on average by approximately 8.52 every 6 months in the first year of IBD diagnosis (β = −8.52, p < .001) and parenting stress difficulty decreased on average by approximately 5.23 every 6 months in the first year of IBD diagnosis (β = −5.23, p = .03).
Table II.
Linear Mixed Models with Time as Main Effect of Parenting Stress Frequency and Difficulty, and Time and Predictors of Parenting Stress Frequency and Difficulty
| Parameter | Estimate | SE | Test (df) | p |
|---|---|---|---|---|
| Time as main effect | ||||
| Parenting stress frequency | ||||
| Intercept | 99.21 | 3.36 | t = 29.50 (99.4) | <.0001 |
| Time | −8.52 | 2.43 | t = −3.50 (85.2) | .0007 |
| Parenting stress difficulty | ||||
| Intercept | 85.14 | 3.60 | t = 23.62 (88.1) | <.0001 |
| Time | −5.23 | 2.29 | t = −2.28 (82.6) | .0250 |
| Time and predictors of parenting stress | ||||
| Parenting stress frequency | ||||
| Intercept | 109.77 | 4.55 | t = 24.13 (80.8) | <.0001 |
| Time | −4.40 | 2.57 | t = −1.72 (96.8) | .0892 |
| Child gender (ref = female) | −1.41 | 4.06 | t = −0.35 (53.0) | .7294 |
| Caregiver race/ethnicity (ref = caregivers of color) | −17.91 | 4.28 | t = −4.19 (50.8) | .0001 |
| Within person mean-centered IMPACT (HRQOL) | −0.70 | 0.24 | t = −2.87 (80.4) | .0053 |
| Between person, grand mean-centered IMPACT (HRQOL) | −0.70 | 0.15 | t = −4.75 (58.5) | <.0001 |
| Within person mean-centered SCARED (Anxiety) | −0.14 | 0.43 | t = −0.32 (76.6) | .7501 |
| Between person, grand mean-centered SCARED (Anxiety) | −0.24 | 0.20 | t = 1.16 (56.5) | .2495 |
| Parenting stress difficulty | ||||
| Intercept | 96.40 | 5.33 | t = 18.07 (71.2) | <.0001 |
| Time | −0.18 | 2.42 | t = −0.08 (88.7) | .9401 |
| Child gender (ref = female) | −1.93 | 5.02 | t = −0.38 (54.3) | .7022 |
| Caregiver race/ethnicity (ref = caregivers of color) | −19.63 | 5.32 | t = −3.69 (53.0) | .0005 |
| Within person mean-centered IMPACT (HRQOL) | −0.76 | 0.22 | t = −3.39 (75.8) | .0011 |
| Between person, grand mean-centered IMPACT (HRQOL) | −0.67 | 0.18 | t = −3.73 (59.2) | .0004 |
| Within person mean-centered SCARED (Anxiety) | 0.17 | 0.39 | t = 0.44 (72.7) | .6601 |
| Between person, grand mean-centered SCARED (Anxiety) | 0.36 | 0.25 | t = 1.44 (57.4) | .1561 |
Note. Bolded rows indicate statistical significance at p < .05. df = degrees of freedom; HRQOL = health-related quality of life; IMPACT = caregiver-reported child HRQOL measure; SCARED = caregiver-reported child anxiety measure; SE = standard error. Caregiver race/ethnicity dichotomized as those identifying as White and those identifying with communities of color (i.e., Black/African American, Hispanic, Asian American, or multiracial identity) due to limited sample size.
Factors Associated with Parenting Stress Frequency and Difficulty
Multi-level models with predictors were constructed to examine factors associated with change in parenting stress frequency and difficulty in the first year of diagnosis with IBD. Given significant differences in parenting stress based on child sex and caregiver race/ethnicity, these variables were included as predictors in addition to caregiver-reported child HRQOL and anxiety symptoms. Models examining predictors of parenting stress frequency and difficulty are detailed in the bottom half of Table II. Caregiver race/ethnicity (β = −17.91, p < .001) and child HRQOL variation both within-person (β = −0.70, p = .005) and between-person (β = −0.70, p < .001) were significantly related to parenting stress frequency, such that caregivers of color reported significantly greater parenting stress frequency, as did caregivers reporting their child’s HRQOL was poorer than the sample average and their child’s average over time. Time, child sex, and child anxiety were not significantly related to parenting stress frequency in the full model.
Caregiver race/ethnicity (β = −19.63, p < .001) and caregiver-reported child HRQOL variation both within-person (β = −0.76, p < .01) and between-person (β = −0.67, p < .001) were significantly related to parenting stress difficulty. Caregivers of color reported significantly greater parenting stress difficulty, as did caregivers reporting their child’s HRQOL was poorer than the sample average and their child’s average over time. Time, child sex, and child anxiety were not significantly related to parenting stress difficulty in the full model.
Discussion
Caring for a child diagnosed with IBD, a chronic, flaring disease, introduces sources of parenting stress that are unique and typically novel for caregivers at the time of their child’s diagnosis. Results from the current study, which utilized multilevel growth modeling to examine changes in parenting stress across the first year of a child’s diagnosis with IBD, demonstrated that parenting stress frequency and difficulty both decreased across the first year of diagnosis. Caregivers of color reported significantly greater parenting stress frequency and difficulty than White caregivers. Furthermore, caregivers who reported their child’s HRQOL as being poorer than the sample average and poorer than their child’s average HRQOL over time also reported significantly greater parenting stress frequency and difficulty. Although child anxiety was associated with parenting stress difficulty at diagnosis and 1 year after diagnosis, it was not significant in the final model after including demographic factors and HRQOL.
In the present study, overall parenting stress frequency and difficulty declined significantly over the first year of IBD diagnosis. Such declines may relate to increased understanding of their child’s new IBD diagnosis over time, as well as efficacy of medical treatments stabilizing IBD symptoms and thus reduced child disease burden. This is consistent with findings from other pediatric medical conditions, including decreased parenting stress and distress over time following initial cancer diagnosis (Fedele et al., 2011; Phipps et al., 2005). Yet, there was significant variation in caregivers’ parenting stress trajectories over 1 year, highlighting that not all caregivers experienced decreases in stress. The phenomenon of stable or even increasing parenting stress following diagnoses has been observed in other pediatric samples, including epilepsy (Bakula et al., 2021) and diabetes (Nieuwesteeg et al., 2017).
Several demographic factors were related to baseline levels of parenting stress after initial diagnosis. Caregivers of color in the present sample reported significantly higher levels of parenting stress frequency and difficulty shortly after their child’s diagnosis when compared to White caregivers. Furthermore, the effect of caregiver race/ethnicity remained significant in the final multilevel model after accounting for other demographic and psychosocial variables. Previous examinations of parenting stress across development and among children with and without chronic medical conditions have shown racial-ethnic disparities in parenting stress, possibly due to systemic disadvantages resulting in fewer caregiver and family resources (Nomaguchi & House, 2013). For example, caregivers of color caring for children diagnosed with type 1 diabetes also reported significantly higher levels of parenting stress, using the same measure in the present study (i.e., PIP; Streisand et al., 2005). As such, in addition to having a child with a new IBD diagnosis, caregivers of color in the present study may have also experienced other parenting stressors which interplay with managing their child’s new medical condition within the healthcare system (e.g., experiences with racism and discrimination in healthcare settings, greater mistrust or poorer relationships with their child’s providers, less familiarity with IBD; Ben et al., 2017), although a more nuanced investigation was outside the scope of the present study.
Furthermore, in the current investigation, child sex was significantly related to parenting stress at diagnosis, such that caregivers of female youth with IBD reported significantly higher parenting stress than caregivers of male youth. However, the effect of sex was not significant when included in the final multilevel model with other demographic and psychosocial variables. This is largely consistent with a previous study within a pediatric IBD sample which found no parenting stress differences across child sex (Guilfoyle et al., 2012), suggesting that other factors may play a more clinically meaningful role in parenting stress over time.
At each time point during the first year following diagnosis, caregiver-reported child anxiety and child HRQOL were independently associated with parenting stress, such that higher levels of child anxiety and lower HRQOL were related to higher parenting stress. This is consistent with previous studies in which poorer child psychosocial functioning (e.g., greater anxiety symptoms) and lower HRQOL was associated with higher parenting stress and poorer family functioning (G. Cushman et al., 2020). Though most frequently examined cross-sectionally, some preliminary longitudinal examinations have demonstrated this relationship as well (G. Cushman et al., 2020). However, it is notable in the present study that when accounting for demographics, child anxiety symptoms, and child HRQOL in the final models, only caregiver race/ethnicity and caregiver-reported HRQOL remained significant in predicting parenting stress over time. HRQOL in the context of new IBD diagnosis is likely intrinsically linked to parenting stress; health-related functioning impacts not only the child but also caregivers responsible for supporting youth wellbeing and medical care (Gray et al., 2015). Furthermore, HRQOL likely captures a more comprehensive understanding of a child’s functioning within the context of an IBD diagnosis as compared to anxiety symptoms specifically, which may be relevant to parenting stress at specific times or in particular settings (e.g., during medical treatment).
Findings from the present study suggest several clinical implications. While parenting stress decreased over the first year of diagnosis, significant variability was observed, highlighting the importance of continued assessment and screening for parenting stress at the individual-level and longitudinally. Offering psychoeducation and reassurance regarding this variability may increase awareness and hope for families following diagnosis. Higher baseline levels of parenting stress were observed among caregivers of color, suggesting the need for increased awareness of and attention to the potential unique stressors affecting families of color. Additional research will be essential to understanding the unique experiences of these caregivers and to guide clinical care for providing optimal support during the new diagnosis period. Further, significant variability and change in parenting stress over the first year of diagnosis across the overall sample suggests that time alone may not be sufficient in relieving the parenting stress experienced by all caregivers. Caregiver-specific assessment and interventions to address parenting stress and coping following new diagnosis may enhance caregivers’ ability to adjust during this transitional period. Although interventions for caregivers of pediatric patients with IBD are limited, findings from an intervention conducted by McCormick and colleagues demonstrated significant declines in parents’ pain catastrophizing and more adaptive behavioral reactions to their children’s physical symptoms following a 1-day intervention and 6-week skills review (McCormick et al., 2010). Pediatric psychologists within medical clinics may consider adapting similar interventions to decrease parenting stress and improve child HRQOL during the year following diagnosis.
Our findings can also guide future empirical work investigating predictors of parenting stress within pediatric IBD. To our knowledge, no model of parenting stress exists for this population and therefore, prior correlational and cross-sectional findings were used to guide our selection of variables, hypotheses, and analyses. As such, our study focused largely on child-related (e.g., anxiety, HRQOL) and situational variables (i.e., the presence of newly diagnosed IBD), both of which are important components of Abidin’s (1995) parenting stress model examining parent, child, and situational factors impacting stress experienced within the parental role. Our findings provide preliminary support for the application of this model of parenting stress within pediatric IBD, but further investigations are needed to identify parent-related variables (e.g., coping, illness appraisal) that may impact parental experiences of stress.
As with all research, the current study is not without limitations, which inform several future research directions. The reliance on caregiver report of child anxiety and HRQOL in addition to parenting stress may have introduced source bias, which may be problematic if a caregiver’s generally negative outlook inflated scores on all measures. Future studies should examine parenting stress in relation to children’s reports of their own anxiety symptoms and HRQOL in addition to depression symptoms, as internalizing symptoms as a composite have shown associations with parenting stress. In the current sample, caregivers of color reported significantly greater parenting stress and difficulty compared to their White counterparts although the percentage of the sample who identified as a person of color was small, presenting a need to explore more nuanced analyses to understand the differential stress experienced by caregivers of color caring for youth newly diagnosed with IBD. While common among pediatric IBD samples (Hommel et al., 2008), the present sample was predominately of high SES and as such, future research is needed to determine whether these results remain consistent among families of lower SES. Furthermore, this sample was primarily mothers of school-aged children, limiting generalizability to fathers or other caregivers, as well as caregivers of children with very early-onset IBD. Although parenting stress decreased over time for the whole sample, individual trajectories suggest that future research with larger samples may seek to identify whether there are distinct group-based trajectories of parenting stress. It would be valuable to examine whether factors associated with lower than expected levels of parenting stress can be identified and whether these could be potentially modifiable protective factors for caregivers of children with IBD experiencing greater stress.
A child’s diagnosis with IBD is likely to be a significant stressor for the vast majority of caregivers, but results demonstrate that, for most caregivers, this stress decreases across the first year of diagnosis. However, caregivers of color and those who perceive their child’s HRQOL to be negatively impacted may be at greater risk for greater parenting stress. Findings are relevant not only for caregivers themselves but also for youth with IBD since parenting stress has been associated with their internalizing symptoms and subsequent depressive symptoms (Guilfoyle et al., 2014). Professionals treating youth with IBD should consider how caregivers’ experience of their child’s disease impacts and is impacted by the child’s health and that, regardless of objective disease criteria, perceptions of health are influential for caregivers’ overall wellbeing. Continued assessment of parenting stress and provision of caregiver support is necessary to provide comprehensive, holistic care to families impacted by pediatric IBD.
Supplementary Data
Supplementary data can be found at: https://academic.oup.com/jpepsy.
Acknowledgments
Authors would like to acknowledge the mentorship of Subramaniam Kugathasan, MD, in the completion of this work.
Funding
This research was supported by the National Center for Advancing Translational Science (NCATS) of the National Institutes of Health under Award Numbers UL1TR002378 and KL2TR002381 and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the National Institutes of Health under Award Number K23DK122115 awarded to the final author.
Conflicts of interest: None declared.
Supplementary Material
Contributor Information
Kelly E Rea, Department of Psychology, University of Georgia, USA.
Grace K Cushman, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, USA.
Adrianna L Westbrook, Pediatric Biostatistics Core, Department of Pediatrics, Emory University, USA.
Bonney Reed, Department of Pediatrics and Children’s Healthcare of Atlanta, Emory University, USA.
References
- Abidin R. R. (1995). Parenting stress index: Professional manual (3rd edn). Psychological Assessment Resources. [Google Scholar]
- Bakula D. M., Wetter S. E., Peugh J. L., Modi A. C. (2021). A longitudinal assessment of parenting stress in parents of children with new-onset epilepsy. Journal of Pediatric Psychology, 46(1), 91–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ben J., Cormack D., Harris R., Paradies Y. (2017). Racism and health service utilisation: A systematic review and meta-analysis. PloS One, 12(12), e0189900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Birmaher B., Brent D. A., Chiappetta L., Bridge J., Monga S., Baugher M. (1999). Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): A replication study. Journal of the American Academy of Child and Adolescent Psychiatry, 38(10), 1230–1236. [DOI] [PubMed] [Google Scholar]
- Burke P. M., Neigut D., Kocoshis S., Chandra R., Sauer J. (1994). Correlates of depression in new onset pediatric inflammatory bowel disease. Child Psychiatric and Human Development, 24(4), 275–283. [DOI] [PubMed] [Google Scholar]
- Crandall W., Kappelman M. D., Colletti R. B., Leibowitz I., Grunow J. E., Ali S., Baron H. I., Berman J. H., Boyle B., Cohen S., del Rosario F., Denson L. A., Duffy L., Integlia M. J., Kim S. C., Milov D., Patel A. S., Schoen B. T., Walkiewicz D., Margolis P. (2011). ImproveCareNow: The development of a pediatric inflammatory bowel disease improvement network. Inflammatory Bowel Diseases, 17(1), 450–457. [DOI] [PubMed] [Google Scholar]
- Cushman G. K., Stolz M. G., Shih S., Blount R., Otley A., Talmadge C., Grant A., Reed B. (2020). Parent IMPACT-III: Development and validation of an inflammatory bowel disease-specific health-related quality-of-life measure. Journal of Pediatric Gastroenterology & Nutrition, 70(2), 205–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cushman G., Shih S., Reed B. (2020). Parent and family functioning in pediatric inflammatory bowel disease. Children, 7(10), 188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- DeLucia C., Pitts S. C. (2006). Applications of individual growth curve modeling for pediatric psychology research. Journal of Pediatric Psychology, 31(10), 1002–1023. [DOI] [PubMed] [Google Scholar]
- Diefenbach K. A., Breuer C. K. (2006). Pediatric inflammatory bowel disease. World Journal of Gastroenterology, 12(20), 3204–3212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fedele D. A., Mullins L. L., Wolfe-Christensen C., Carpentier M. Y. (2011). Longitudinal assessment of maternal parenting capacity variables and child adjustment outcomes in pediatric cancer. Journal of Pediatric Hematology/Oncology, 33(3), 199–202. [DOI] [PubMed] [Google Scholar]
- Gray W. N., Boyle S. L., Graef D. M., Janicke D. M., Jolley C. D., Denson L. A., Baldassano R. N., Hommel K. A. (2015). Health-related quality of life in youth with Crohn disease: Role of disease activity and parenting stress. Journal of Pediatric Gastroenterology & Nutrition, 60(6), 749–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gray W. N., Graef D. M., Schuman S. S., Janicke D. M., Hommel K. A. (2013). Parenting stress in pediatric IBD: Relations with child psychopathology, family functioning, and disease severity. Journal of Developmental and Behavioral Pediatrics : JDBP, 34(4), 237–244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guilfoyle S. M., Denson L. A., Baldassano R. N., Hommel K. A. (2012). Paediatric parenting stress in inflammatory bowel disease: Application of the Pediatric Inventory for Parents. Child: Care, Health and Development, 38(2), 273–279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guilfoyle S. M., Gray W. N., Herzer-Maddux M., Hommel K. A. (2014). Parenting stress predicts depressive symptoms in adolescents with inflammatory bowel disease. European Journal of Gastroenterology & Hepatology, 26(9), 964–971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harris P. A., Taylor R., Minor B. L., Elliott V., Fernandez M., O'Neal L., McLeod L., Delacqua G., Delacqua F., Kirby J., Duda S. N.; REDCap Consortium (2019). The REDCap consortium: Building an international community of software platform partners. Journal of Biomedical Informatics, 95, 103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herzer M., Denson L. A., Baldassano R. N., Hommel K. A. (2011). Family functioning and health-related quality of life in adolescents with pediatric inflammatory bowel disease. European Journal of Gastroenterology & Hepatology, 23(1), 95–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoffman L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. Routledge. [Google Scholar]
- Hommel K. A., Davis C. M., Baldassano R. N. (2008). Medication adherence & quality of life in pediatric inflammatory bowel disease. Journal of Pediatric Psychology, 33(8), 867–874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kidwell K. M., Nelson T. D., Van Dyk T. (2015). Parenting stress and child physical health among a low-income sample: The moderating role of child anxiety. Journal of Health Psychology, 20(11), 1377–1387. [DOI] [PubMed] [Google Scholar]
- Mackner L. M., Sisson D. P., Crandall W. V. (2004). Review: Psychosocial issues in pediatric inflammatory bowel disease. Journal of Pediatric Psychology, 29(4), 243–257. [DOI] [PubMed] [Google Scholar]
- Malaty H. M., Fan X., Opekun A. R., Thibodeaux C., Ferry G. D. (2010). Rising incidence of inflammatory bowel disease among children: A 12-year study. Journal of Pediatric Gastroenterology and Nutrition, 50(1), 27–31. [DOI] [PubMed] [Google Scholar]
- McCormick M., Reed-Knight B., Lewis J. D., Gold B. D., Blount R. L. (2010). Coping skills for reducing pain and somatic symptoms in adolescents with IBD. Inflammatory Bowel Diseases, 16(12), 2148–2157. [DOI] [PubMed] [Google Scholar]
- Nieuwesteeg A., Hartman E., Emons W., van Bakel H., Aanstoot H.-J., van Mil E., Pouwer F. (2017). Paediatric parenting stress in fathers and mothers of young children with Type 1 diabetes: A longitudinal study. Diabetic Medicine : A Journal of the British Diabetic Association, 34(6), 821–827. [DOI] [PubMed] [Google Scholar]
- Nomaguchi K., House A. N. (2013). Racial-ethnic disparities in maternal parenting stress: The role of structural disadvantages and parenting values. Journal of Health and Social Behavior, 54(3), 386–404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Otley A. R., Griffiths A. M., Hale S., Kugathasan S., Pfefferkorn M., Mezoff A., Rosh J., Tolia V., Markowitz J., Mack D., Oliva-Hemker M., Wyllie R., Rothbaum R., Bousvaros A., Del Rosario J. F., Evans J., Blanchard W., Hyams J; Pediatric IBD Collaborative Research Group (2006). Health-related quality of life in the first year after a diagnosis of pediatric inflammatory bowel disease. Inflammatory Bowel Diseases, 12(8), 684–691. [DOI] [PubMed] [Google Scholar]
- Phipps S., Long A., Hudson M., Rai S. N. (2005). Symptoms of post-traumatic stress in children with cancer and their parents: Effects of informant and time from diagnosis. Pediatric Blood & Cancer, 45(7), 952–959. [DOI] [PubMed] [Google Scholar]
- Plevinsky J. M., Gumidyala A. P., Poulopoulos N., Kahn S. A., Guilfoyle S. M., Hommel K. A., Greenley R. N. (2018). Illness-related parenting stress among parents of adolescents and young adults with inflammatory bowel diseases. Children's Health Care, 47(2), 136–149. [Google Scholar]
- Reigada L. C., Hoogendoorn C. J., Walsh L. C., Lai J., Szigethy E., Cohen B. H., Bao R., Isola K., Benkov K. J. (2015). Anxiety symptoms and disease severity in children and adolescents with Crohn disease. Journal of Pediatric Gastroenterology & Nutrition, 60(1), 30–35. [DOI] [PubMed] [Google Scholar]
- Sawczenko A., Sandhu B. K., Logan R. F. A., Jenkins H., Taylor C. J., Mian S., Lynn R. (2001). Prospective survey of childhood inflammatory bowel disease in the British Isles. The Lancet, 357(9262), 1093–1094. [DOI] [PubMed] [Google Scholar]
- Streisand R., Braniecki S., Tercyak K. P., Kazak A. E. (2001). Childhood illness-related parenting stress: The pediatric inventory for parents. Journal of Pediatric Psychology, 26(3), 155–162. [DOI] [PubMed] [Google Scholar]
- Streisand R., Swift E., Wickmark T., Chen R., Holmes C. S. (2005). Pediatric parenting stress among parents of children with type 1 diabetes: The role of self-efficacy, responsibility, and fear. Journal of Pediatric Psychology, 30(6), 513–521. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

