Skip to main content
Download PDF

Cockroach exposure and perceived stress interact to predict clinical outcomes in childhood asthma

BMC Pulmonary Medicine volume 21, Article number: 83 (2021) Cite this article

Abstract

Background

Nonpharmacologic interventions for asthma management rely on identification and mitigation of important asthma triggers. Cockroach exposure is strongly associated with asthma morbidity. It is also associated with stress, another risk factor for asthma. Despite high prevalence of both in vulnerable populations, the impact of joint exposure has not been examined.

Methods

Participants included 173 children with asthma in New Orleans, Louisiana. Cockroach exposure was based on visual inspection using standard protocols. Caregiver stress was measured using Cohen’s 4-item Perceived Stress Scale. Outcomes included unscheduled clinic or emergency department (ED) visits, hospitalization, and pulmonary function. Multivariable logistic regression was performed to assess independent effects of the exposure on the outcome and effect modification was examined in stratified analysis based on stress. Path analysis to explore the mediation effect by stress was performed using a probit link with parameters based on Bayes’ method with non-informative priors.

Results

Adjusting for stress and other covariates, cockroach exposure was associated with unscheduled clinic/ED visits (aOR = 6.2; 95% CI 1.8, 21.7). Positive associations were also found for hospitalization and FEV1 < 80%. High stress modified the relationship with unscheduled clinic/ED visits (high aOR = 7.7 95% CI 1.0, 60.2, versus normal aOR = 4.1 95% CI 0.8, 21.9). Path models identified direct and indirect effects (p = 0.05) indicating that a majority of the total effect on unscheduled clinic/ED visits is attributed directly to cockroach exposure.

Conclusion

The strong association between cockroach exposure and asthma morbidity is not due to uncontrolled confounding by stress. The combination of cockroach exposure and high stress, common in urban homes, are modifiable factors associated with poor asthma outcomes.

Peer Review reports

Background

Asthma is the most prevalent chronic respiratory disease worldwide and is the leading chronic disease in children. In the United States (US), an estimated 6.2 million children have asthma [1]. Given that asthma typically starts in early childhood and is chronic in nature, poor asthma control has implications for pulmonary health throughout the life course.

Exposure to environmental allergens is a leading cause of asthma exacerbation, estimated to trigger asthma attacks in 60–90% of children [2] through promotion of airway inflammation and bronchial hyperresponsiveness [3]. Allergens commonly found indoors are particularly important due to increased exposure potential from time spent in the home. Many environmental allergens (e.g., house dust mites, cockroach, mold, pet dander, mice) are associated with asthma exacerbation, however studies around the world have found that exposure to cockroach antigen (e.g., Bla g 1, Per a 2) has the greatest effect, particularly on severe outcomes [4,5,6,7]. Among a cohort of moderate to severe asthmatics in New Orleans, Louisiana, children exposed to Bla g 1 > 2U/g were four times as likely to be hospitalized compared to their unexposed peers despite sensitization and exposure to multiple indoor allergens [5]. Similarly, in the National Cooperative Inner-City Asthma Study children in the US sensitized and exposed to cockroach were 3.4 times as likely to be hospitalized [6]. In Poland, 61% of children with cockroach sensitivity had severe asthma, compared to 36% of sensitized children exposed to other indoor allergens [8]. Among patients with persistent asthma in Taiwan, IgE-binding to American cockroach allergen (Per a 2) was associated with severe airway allergy and elevated proinflammatory chemokines [9].

Most studies of cockroach allergen and asthma outcomes have reported cockroach exposure based on measurement of allergens (e.g. Bla g 1) in dust samples from participants’ homes. However, visual inspection of homes, specifically looking for evidence of cockroaches has been shown to be predictive of allergen exposure. Cohn et al. reported that homes where field staff observed living or dead cockroaches or cockroach stains or occupants reported seeing cockroaches in the previous month were significantly more likely to have Bla g 1 allergen levels above 8 U/g [10].

Cockroach exposure is common, particularly in urban areas and in the home of those with low income status. Low-income households in the US have been found to be 12 times as likely to have high cockroach allergen (> 8 U/g) compared to households with high income [11,12,13]. Due to the high prevalence in inner city homes, research has primarily been conducted in urban cohorts. However, in addition to increased exposure to cockroach, inner city residence is also associated with high levels of stress, which is itself associated with negative asthma outcomes. Pertinent to childhood asthma, caregiver stress negatively impacts disease management[14] and can cause stress in the child leading to alterations in immune response (e.g., IgE, Bla g 2 proliferative response) and cytokine expression (e.g., IFN-γ, TNF-α, IL-10, IL-13) [15,16,17]. Exposure to stress has also been shown to increase susceptibility to environmental triggers by modulating the response to oxidative stress [18, 19]. Finally, poor housing condition, which is not uncommon in inner-city environments, is associated with cockroach infestation[20, 21] and has been shown in numerous studies to be linked to increased psychological stress [21, 22].

Despite the high prevalence of both cockroach exposure and stress in inner-city homes, to our knowledge there are no studies evaluating the impact of their joint exposure on childhood asthma morbidity. Therefore, it is possible that the strong association between cockroach and negative asthma outcomes may, in part, be the result of uncontrolled confounding by stress rather than the result of increased potency of cockroach antigen. Given that stress makes children more susceptible to asthma triggers, another possibility is that the strong role of cockroach may be the result of effect modification resulting from joint exposure [18, 23,24,25].

The objective of this analysis is to examine the relationship between cockroach exposure, stress, and asthma morbidity by evaluating various pathways by which they may be interrelated. The hypothesized relationships are rooted in the biopsychosocial framework (Fig. 1.) adapted from Wright et al. [26]. Based on this framework three hypotheses were tested. First, that previous findings on the unique association between cockroach exposure and asthma are biased by the lack of control for stress. Second, that joint exposure to cockroaches and stress results in effect measure modification. Finally, that cockroach impacts asthma through its association with stress [21, 26, 27]. To examine this, a mediation analysis examined the mechanistic process that underlies the relationship between cockroach, stress, and asthma.

Fig. 1
figure 1

Biopsychosocial framework for caregiver stress, cockroach, and asthma

Full size image

Methods

Data for this cross-sectional analysis were obtained from two asthma studies in New Orleans, Louisiana. Participants were children with parent-reported physician diagnosed asthma recruited between 2011 and 2015. Eligibility requirements included age 5–17 years, asthma-related symptoms in the previous 6 months or having at least two unscheduled clinic or emergency department (ED) visits for asthma within the past year. Additional eligibility criteria included the child sleeping in the home on average at least four nights per week in the preceding year and the caregiver’s ability to speak English or Spanish. Children with other severe medical or chronic illnesses, including chronic respiratory infections, were ineligible for the study. Children were recruited from asthma clinics and community outreach activities. Informed consent and assent for children seven years or older was obtained prior to data collection. The study received approval from the Tulane Biomedical Institutional Review Board.

Health and environmental data collection

All data were collected in the child’s home. Sociodemographic characteristics were collected via survey questionnaire of the primary caregiver using a structured instrument administered by trained study personnel. Evidence of cockroaches in the home was dichotomized (yes/no) based on a home inspection by field staff using a protocol developed at North Carolina State University. Cockroach exposure was defined as observing active infestation, cockroach stains, excrement or other body parts, or dead cockroaches. This method has been used in previous studies and has been shown to be associated with antigen level and asthma morbidity [10, 28,29,30]. Caregiver stress was measured using Cohen’s 4-item Perceived Stress Scale (PSS-4). Stress was categorized as described by Kopel et al.; normal: PSS-4 score ≤ 7; high: PSS–4 score 8–10; and very high stress: PSS-4 score ≥ 11 [31]. High and very high stress were combined into one category and compared to caregivers with normal stress levels.

Asthma outcomes included parent reported ED or unscheduled clinic visits in the previous four months, parent reported hospitalization for asthma in the previous four months, and pulmonary function. Pulmonary function was measured via handheld spirometry (EasyOne™) using appropriate reference values and standard techniques [32]. Up to eight maneuvers were attempted to obtain a test of adequate quality. All results were reviewed to ensure a valid test was obtained. Children with FEV1 < 80% predicted were classified as having airway obstruction [33].

Covariates included the child’s age, parent-reported sex and race, smoking in the home, parent’s marital status, household income, and other household characteristics obtained from the caregiver via survey questionnaire. Height and weight were measured by study staff and body mass index (BMI) was calculated using the percentiles and z-scores (standard deviations) for the child’s sex and age based on the Centers for Disease Control and Prevention growth charts [34]. BMI was categorized in all analyses as follows: BMI < 5th percentile underweight; BMI ≥ 5th and < 85th percentile, normal weight; BMI ≥ 85th and < 95th percentile, overweight; and BMI ≥ 95th percentile, obese. A blood sample was obtained at the baseline home visit and analyzed using the ImmunoCAP specific IgE test (sIgE) for antibodies to German cockroaches (Blatella germanica), dust mites (Dermatophagoides pteronyssinus and D. farinae), cat dander, dog epithelium and dander, and mouse urinary proteins (Phadia, Uppsala, Sweden). Specific IgE level ≥ 0.35 kU/L was considered positive.

Statistical analysis

Means and standard deviations are presented for continuous variables and number and proportion of participants are presented for categorical variables. Bivariate logistic regression models were constructed to examine independent associations and potential confounders: age (continuous variable), self reported sex at birth, self reported race (black versus other), BMI (underweight, normal, overweight, obese), smoker in the home (yes/no), and household income (≤ $25,000 verses > $25,000). Variables associated (p value ≤ 0.1) with asthma outcomes in bivariate analyses were included in multivariable logistic models. Both exposures, cockroaches and stress, were included in all multivariable models and outcomes were modeled separately. Adjusted odds ratios (aOR) with corresponding 95% confidence intervals (CI) are reported. To address whether stress level modifies the effect of cockroach exposure on asthma morbidity, we examined effect modification by caregiver stress level stratified as normal and high/very high. These analyses were performed using SAS statistical software version 9.4 (SAS Institute, Inc. Cary, North Carolina). Path analysis was performed to examine whether the effect of cockroach on the outcomes is mediated by level of caregiver stress and, if mediation exists, the extent of mediation. Unscheduled clinic/ED visits, hospitalizations and FEV1 < 80% were considered in separate path models. Cockroach exposure was considered the predictor variable and stress level the mediator. All three path models were adjusted for covariates identified to be associated in bivariate analysis for each corresponding outcome. The outcomes and mediator are binary variables, therefore a probit link was used in the path analysis and the parameters were estimated based on Bayes’ method with non-informative priors [35]. Indirect, direct, and total effects of cockroach exposure on asthma morbidity were computed based on the probit link functions for binary outcomes and mediators [36]. Goodness-of-fit was assessed using posterior predictive checking [37], and a posterior predictive p (PPP) value was obtained with a chi-square statistic measuring the distance between the data and the model. Larger PPP, i.e., smaller chi-square, indicates a better fit of the model to the data. Usually a model with PPP greater than 0.05 indicates a good fit [38, 39]. Mediation analysis was conducted using Mplus version 7 [40].

Results

Table 1 describes the characteristics of 173 children included in the analysis. The mean age was 9.7 years. The population self-reported race was 70% non-Hispanic black and 26% Hispanic. The majority of families were headed by an unmarried adult, rented their homes, and had household income less than $25,000 per year. Most children were atopic (60%) and polysensitized (56%). Evidence of cockroaches was reported in 34% of homes and the mean caregiver PSS-score was 5.98 (SD 2.60). Approximately 40% of respondents reported high or very high stress. Of enrolled children, 49% had an unscheduled clinic or ED visit and 17% had been hospitalized for asthma in the previous 4 months while 47% had airflow obstruction (FEV1 < 80% predicted).

Table 1 Descriptive characteristics of the study population, n = 173
Full size table

In unadjusted models, (Table 2) cockroach exposure was associated with unscheduled clinic/ED visits (OR 8.74; 95% CI 3.87–19.71) and hospitalizations (OR 3.05; 95% CI 1.11–8.39). High caregiver stress was also associated with unscheduled clinic/ED visits (OR 2.88; 95% CI 1.53–5.42) and hospitalizations (OR 2.68; 95% CI 1.19- 6.0). Both cockroach exposure and high stress were positively associated with suboptimal lung function (FEV1 < 80%), but these associations were not statistically significant.

Table 2 Association between cockroach exposure, caregiver stress, and various indicators of asthma morbidity
Full size table

Covariates significant in bivariate analysis, (age, race, income, BMI, sex) were included in multivariable models. In fully adjusted models (Table 2), cockroach exposure was positively associated with unscheduled clinic/ED visits (aOR 6.20, 95% CI 1.77, 21.73). Cockroach exposure was positively associated with hospitalizations (aOR 2.25, 95% CI 0.65, 7.81) and FEV1 < 80% (aOR 1.81, 95% CI 0.68, 4.85). Caregiver stress also remained significantly associated with unscheduled clinic/ED visits (aOR 4.50, 95% CI 1.40, 14.48) and with hospitalizations (aOR 5.60, 95% CI 1.49, 20.97).

To examine whether the relationship between cockroach exposure and asthma morbidity is modified by stress, multivariable models were stratified by stress level. Effect estimates differed substantially between those with high stress and those with normal stress. For all asthma outcomes, individuals exposed to both cockroaches and high stress had considerably higher odds of asthma morbidity (Table 3). Furthermore, when compared to fully adjusted, non-stratified models, effect estimates were noticeably higher for all outcomes. Children with caregivers reporting high stress and exposure to cockroaches had an aOR = 7.72 (95% CI 0.99, 60.22) for unscheduled clinic/ED visits while children with caregivers reporting normal stress and cockroach exposure, the aOR = 4.11 (95% CI 0.77, 21.87). For hospitalizations, subgroup differences were more pronounced. For children of caregivers with high stress, the aOR = 7.38 (95% CI 1.05, 51.85) while there was no association for children of caregivers reporting normal stress (aOR 0.26, 95% CI 0.04, 5.12). For pulmonary function (FEV1 < 80%) children with caregivers reporting high stress were 5.8 times as likely to have FEV1 < 80% (aOR 5.82, 95% CI 0.99, 33.80) while there was no association in those with normal stress levels aOR 0.74, 95% CI 0.19, 2.87.

Table 3 Association between cockroach exposure and asthma morbidity stratified by stress
Full size table

Path analyses were conducted to examine whether the impact of cockroach exposure on asthma morbidity was mediated by stress level. The path models for each of the three outcomes assessed fit the data well. For unscheduled clinic/ED visits PPP = 0.480; for hospitalization PPP = 0.442; and for FEV1 < 80% PPP = 0.555. When examining the effect of cockroach exposure on unscheduled clinic/ED visits, the path model indicates that of the total estimated effects of cockroach exposure and stress, 91.1% of such effects are attributed to cockroach exposure, while 8.9% of such estimate effects are attributed to stress secondary to cockroach exposure (Fig. 2). As for the effect of cockroach exposure on hospitalization, 96.6% (95% CI: 55.2%, 131.0%) of the effect is attributed to cockroach exposure while 3.4% (95% CI: -31.1%, 44.7%) of the effect are attributed to stress secondary to cockroach exposure. The total and direct effect were significant, but the indirect effect was not significant. For FEV1 < 80%, 78.7% (95% CI −373%, 535.7%) of the effects are attributed to cockroach exposure while 21.3% (95% CI −438.8%, 465.2%) are attributed to stress secondary to exposure to cockroach.

Fig. 2
figure 2

Path analysis of the mediating effect of stress on the relationship between cockroach exposure and asthma outcomes

Full size image

Discussion

Despite years of research dedicated to improving outcomes for children with asthma, our understanding of how the physical environment interacts with the social environment is limited. Research indicates a strong association between exposure to cockroaches in the home and asthma morbidity. The immune mechanisms underlying the relationship are unclear. One hypothesis is increased allergenicity of cockroach antigen, which induces an IgE response at concentrations 10–100 times lower than other allergens (assessed as nanograms of protein per gram of dust) [11,12,13, 41]. We hypothesized that the association seen in previous studies may be biased due to uncontrolled confounding by caregiver stress. This hypothesis was not substantiated. In mutally controlled and fully adjusted models there was a strong independent relationship for both cockroach exposure and caregiver stress on unscheduled clinic/ED visits and asthma hospitalization.

There is accumulating data on the interactive effects of environmental and psychosocial factors on children’s asthma. The biologic rationale is that both independently impact similar biologic processes (immune and non-immune inflammatory). Alterations of immune function and increased oxidative stress are posited to promote the synergistic effects of exposure on asthma [42]. These studies have addressed air pollution as the environmental contaminant. We have added to the growing body of literature by addressing another environmental factor, as recommended in a recent systematic review [43]on this subject. The stratified models examining whether the effect of caregiver stress amplifies the effect of cockroach exposure on asthma morbidity support this hypothesis; children jointly exposed to cockroach and high caregiver stress have greater likelihood of adverse asthma outcomes compared to children exposed only to cockroach. These findings are consistent with those of the systematic review that found psychosocial risk amplifies the relationship between air pollution, and various measures of asthma morbidity [43].

Finally, we addressed whether stress mediates the relationship between cockroach exposure and asthma. Results of path analysis show a marginal effect of cockroach on asthma morbidity mediated through stress and does not strongly support the hypothesis.

Findings from this analysis add to the growing body of evidence that social and environmental determinants of health interact to increase asthma morbidity and highlight the important role of cockroach exposure found in previous studies. Given the high prevalence of both caregiver stress and cockroaches in the home of inner-city children, the contribution of these factors to their asthma morbidity is likely substantial. Therefore, interventions to improve asthma outcomes are more likely to succeed if they target both cockroach exposure and stressors experienced by caregivers of children with asthma.

Several aspects of the study warrant consideration. We chose evidence of cockroaches as the exposure variable, a modifiable, patient-centered outcome. Although dust allergen levels are more often reported in research, the two are significantly correlated [10, 28,29,30]. To test the reliability between the estimates, we obtained dust samples for a subset of children in the study and compared the level of cockroach antigen to the categorization of exposure. For those categorized as having evidence of cockroaches, the median level was five times higher than those categorized as having no evidence of exposure. The mean for those with evidence of cockroach was 9.94 U/g compared to 1.64 U/g for those categorized as non-exposed which is below the threshold level of 2 U/g commonly used as the cut-point for the association with adverse health effects. The study has several limitations. The first is that use of evidence of cockroach rather than the amount of cockroach antigen in dust did not allow the examination of threshold and dose response effects. Although we included many covariates, we did not have information on air pollution. Another limitation is small sample size which limited the ability to fully interpret some results, particularly in stratified models. However, the results were consistent between models with the impact of small samples being generally less precise, yet strong positive effect estimates.

Strengths of the study include the inclusion of important covariates, namely BMI and smoking in the home. The use of evidence of exposure to cockroaches is a strength when considering the potential for translating the findings into practice. Behavioral interventions are unlikely to be adopted when they are difficult to implement or when the target population does not perceive a benefit. Evidence of cockroach is a patient-centered outcome while antigen level in dust is not.

Conclusion

Identifying modifiable factors associated with asthma morbidity in children is a public health priority. This effort will benefit from models that consider a broad set of risk factors—both environmental and psychosocial—simultaneously. Our results confirm that both stress and cockroach are strong, independent risk factors for various measures of asthma morbidity. Our novel finding is that for children exposed to cockroaches with caregivers experiencing high stress, the effect of cockroach on asthma is significantly enhanced and the effect of cockroach on asthma is not mediated through its relationship with stress. This finding is important given the high prevalence of these factors in the homes of socially disadvantaged children living in urban environments. Future studies with larger sample sizes are needed. If the results are replicated, interventions reducing cockroach exposure should be emphasized, particularly in households where caregivers concurrently report high stress.

Availability of data and materials

The dataset used during the current study is available from the corresponding author on reasonable request.

Abbreviations

ED:

Emergency department

aOR:

Adjusted odds ratio

CI:

Confidence interval

FEV1 :

Forced expiratory value in one second

US:

United States

Bla g 1:

Blattella germanica

Per a 2:

Periplaneta americana

IgE:

Immunoglobulin E

IFN:

Interferon

TNF α:

Tumour necrosis factor alpha

IL-10:

Interleukin 10

IL-13:

Interleukin 13

PSS:

Perceived Stress Scale

BMI:

Body Mass Index

sIgE:

Specific immunoglobulin E

PPP:

Posterior predicted p value

OR:

Odds ratio

SD:

Standard deviation

References

  1. Soriano JB, Abajobir AA, Abate KH, Abera SF, Agrawal A, Ahmed MB, et al. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respirat Med. 2017;5(9):691–706.

    Article  Google Scholar 

  2. Do DC, Zhao Y, Gao P. Cockroach allergen exposure and risk of asthma. Allergy. 2016;71(4):463–74.

    Article  CAS  Google Scholar 

  3. Burbank AJ, Sood AK, Kesic MJ, Peden DB, Hernandez ML. Environmental determinants of allergy and asthma in early life. J Allergy Clin Immunol. 2017;140(1):1–12.

    Article  Google Scholar 

  4. Gruchalla RS, Pongracic J, Plaut M, Evans R III, Visness CM, Walter M, et al. Inner City Asthma Study: relationships among sensitivity, allergen exposure, and asthma morbidity. J Allergy Clin Immunol. 2005;115(3):478–85.

    Article  Google Scholar 

  5. Rabito FA, Carlson J, Holt EW, Iqbal S, James MA. Cockroach exposure independent of sensitization status and association with hospitalizations for asthma in inner-city children. Ann Allergy Asthma Immunol. 2011;106(2):103–9.

    Article  CAS  Google Scholar 

  6. Rosenstreich DL, Eggleston P, Kattan M, Baker D, Slavin RG, Gergen P, et al. The role of cockroach allergy and exposure to cockroach allergen in causing morbidity among inner-city children with asthma. N Engl J Med. 1997;336(19):1356–63.

    Article  CAS  Google Scholar 

  7. Pomés A, Mueller GA, Randall TA, Chapman MD, Arruda LK. New insights into cockroach allergens. Curr Allergy Asthma Rep. 2017;17(4):25.

    Article  Google Scholar 

  8. Stelmach I, Jerzynska J, Stelmach W, Majak P, Chew G, Gorski P, et al. Cockroach allergy and exposure to cockroach allergen in Polish children with asthma. Allergy. 2002;57(8):701–5.

    Article  CAS  Google Scholar 

  9. Lee MF, Song PP, Hwang GY, Lin SJ, Chen YH. Sensitization to Per a 2 of the American cockroach correlates with more clinical severity among airway allergic patients in Taiwan. Ann Allergy Asthma Immunol. 2012;108(4):243–8.

    Article  CAS  Google Scholar 

  10. Cohn RD, Arbes SJ, Jaramillo R, Reid LH, Zeldin DC. National Prevalence and Exposure Risk for Cockroach Allergen in U.S. Households. Environ Health Perspect. 2006;114(4):522–6.

  11. Salo PM, Wilkerson J, Rose KM, Cohn RD, Calatroni A, Mitchell HE, et al. Bedroom allergen exposures in US households. J Allergy Clin Immunol. 2018;141(5):1870–9. e14.

  12. Jacobs DE. Environmental health disparities in housing. Am J Public Health. 2011;101(S1):S115–22.

    Article  Google Scholar 

  13. Rauh VA, Chew GR, Garfinkel RS. Deteriorated housing contributes to high cockroach allergen levels in inner-city households. Environ Health Perspect. 2002;110(suppl 2):323–7.

    Article  Google Scholar 

  14. Wood BL, Brown ES, Lehman HK, Khan DA, Lee MJ, Miller BD. The effects of caregiver depression on childhood asthma: Pathways and mechanisms. Ann Allergy Asthma Immunol. 2018;121(4):421–7.

    Article  Google Scholar 

  15. Wolf JM, Miller GE, Chen E. Parent psychological states predict changes in inflammatory markers in children with asthma and healthy children. Brain Behav Immunol. 2008;22(4):433–41.

    Article  Google Scholar 

  16. Wright RJ. Epidemiology of stress and asthma: from constricting communities and fragile families to epigenetics. Immunol Allergy Clin. 2011;31(1):19–39.

    Article  Google Scholar 

  17. Wright RJ, Mitchell H, Visness CM, Cohen S, Stout J, Evans R, et al. Community violence and asthma morbidity: the Inner-City Asthma Study. Am J Public Health. 2004;94(4):625–32.

    Article  Google Scholar 

  18. Chen E, Schreier HM, Strunk RC, Brauer M. Chronic traffic-related air pollution and stress interact to predict biologic and clinical outcomes in asthma. Environ Health Perspect. 2008;116(7):970–5.

    Article  CAS  Google Scholar 

  19. Clougherty JE, Levy JI, Kubzansky LD, Ryan PB, Suglia SF, Canner MJ, et al. Synergistic effects of traffic-related air pollution and exposure to violence on urban asthma etiology. Environ Health Perspect. 2007;115(8):1140–6.

    Article  CAS  Google Scholar 

  20. Rand CS, Wright RJ, Cabana MD, Foggs MB, Halterman JS, Olson L, et al. Mediators of asthma outcomes. J Allergy Clin Immunol. 2012;129(3):S136–41.

    Article  Google Scholar 

  21. Suglia SF, Duarte CS, Sandel MT, Wright RJ. Social and environmental stressors in the home and childhood asthma. J Epidemiol Community Health. 2010;64(7):636–42.

    Article  Google Scholar 

  22. Galea S, Ahern J, Rudenstine S, Wallace Z, Vlahov D. Urban built environment and depression: a multilevel analysis. J Epidemiol Community Health. 2005;59(10):822.

    Article  Google Scholar 

  23. Chen E, Miller GE. Stress and inflammation in exacerbations of asthma. Brain Behav Immunol. 2007;21(8):993–9.

    Article  CAS  Google Scholar 

  24. Schreier HM, Miller GE, Chen E. Clinical potentials for measuring stress in youth with asthma. Immunol Allergy Clin North Am. 2011;31(1):41–54.

    Article  Google Scholar 

  25. Wright RJ, Rodriguez M, Cohen S. Review of psychosocial stress and asthma: an integrated biopsychosocial approach. Thorax. 1998;53(12):1066–74.

    Article  CAS  Google Scholar 

  26. Wright RJ, Subramanian SV. Advancing a multilevel framework for epidemiologic research on asthma disparities. Chest. 2007;132(5):757S-S769.

    Article  Google Scholar 

  27. Sandel M, Wright RJ. When home is where the stress is: expanding the dimensions of housing that influence asthma morbidity. Arch Dis Child. 2006;91(11):942–8.

    Article  CAS  Google Scholar 

  28. Rabito FA, Carlson JC, He H, Werthmann D, Schal C. A single intervention for cockroach control reduces cockroach exposure and asthma morbidity in children. J Allergy Clin Immunol. 2017;140(2):565–70.

    Article  Google Scholar 

  29. Sever ML, Arbes SJ Jr, Gore JC, Santangelo RG, Vaughn B, Mitchell H, et al. Cockroach allergen reduction by cockroach control alone in low-income urban homes: a randomized control trial. J Allergy Clin Immunol. 2007;120(4):849–55.

    Article  Google Scholar 

  30. Takaro TK, Krieger JW, Song L. Effect of environmental interventions to reduce exposure to asthma triggers in homes of low-income children in Seattle. J Eposure Sci Environ Epidemiol. 2004;14(1):S133–43.

    Article  Google Scholar 

  31. Kopel LS, Petty CR, Gaffin JM, Sheehan WJ, Baxi SN, Kanchongkittiphon W, et al. Caregiver stress among inner-city school children with asthma. J Allergy Clin Immunol 2017;5(4):1132–4. e3.

  32. Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–38.

    Article  CAS  Google Scholar 

  33. Reddel HK, Taylor DR, Bateman ED, Boulet L-P, Boushey HA, Busse WW, et al. An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med. 2009;180(1):59–99.

    Article  Google Scholar 

  34. Kuczmarski RJ. CDC growth charts; United States. 2000.

  35. Asparouhov T, Muthén B. Bayesian analysis using Mplus: Technical implementation. Citeseer; 2010.

  36. Muthén B. Applications of causally defined direct and indirect effects in mediation analysis using SEM in Mplus. CA: Los Angeles; 2011.

    Google Scholar 

  37. Gelman A, Meng X-L, Stern H. Posterior predictive assessment of model fitness via realized discrepancies. Statistica sinica. 1996:733–60.

  38. Jaccard J, Wan CK, Jaccard J. LISREL approaches to interaction effects in multiple regression: Sage; 1996.

  39. Kline RB. Principles and practice of structural equation modeling: Guilford Publications; 2015.

  40. Muthen L, Muthen B. Mplus Version 7 User’s Guide: Version 7. Los Angeles, CA: Author; 2012.

    Google Scholar 

  41. Arruda LK. Cockroach allergens. Curr Allergy Asthma Rep. 2005;5(5):411–6.

    Article  CAS  Google Scholar 

  42. Wright RJ. Psychological stress: a social pollutant that may enhance environmental risk. Am J Respir Crit Care Med. 2011;184(7):752–4.

    Article  Google Scholar 

  43. Appleton AA, Holdsworth EA, Kubzansky LD. A systematic review of the interplay between social determinants and environmental exposures for early-life outcomes. Curr environ Health Rep. 2016;3(3):287–301.

    Article  Google Scholar 

Download references

Acknowledgements

We thank Nickey Wells and Nikki White-Spots for their assistance with data collection and Ginger Chew for her review of the manuscript. We acknowledge Peter Ashley, the Office of Healthy Homes and Lead Hazard Control at HUD, and the NIEHS Laboratory of Respiratory Biology and Daryl Zeldin. We especially thank all the families who allowed us in their homes.

Funding

This work was supported by grant LAHH0228-10 from the Department of Housing and Urban Development, Healthy Homes Technical Studies and grant U01EH001130 from the Centers for Disease Control and Prevention. The funder has no role in the design of the study or in the collection, analysis and interpretation of data or in writing the manuscript.

Author information

Authors and Affiliations

  1. Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2016, New Orleans, LA, 70112, USA

    Felicia A. Rabito, Derek Werthmann, Hua He & Whitney D. Arroyave

  2. Department of Global Community Health and Behavioral Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2016, New Orleans, LA, 70112, USA

    Aubrey S. Madkour

  3. PPD Government and Public Health Services , 3900 Paramount Parkway, Morrisville, NC, 27560, USA

    Michelle L. Sever

  4. Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2016, New Orleans, LA, 70112, USA

    Thomas A. LaVeist

Authors
  1. Felicia A. Rabito
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Derek Werthmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hua He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aubrey S. Madkour
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Whitney D. Arroyave
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Michelle L. Sever
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Thomas A. LaVeist
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

FR contribution was to the conception, design, interpretation of the data.and was a major contributor in writing the manuscript. DW was substantial contribution to the conception, acquisition, analysis, interpretation of the data and was a major contributor in writing the manuscript. HH analyzed and interpreted the regression and path models. AM performed the path analysis and contributed to the writing of the manuscript. WA contributed to the acquisition of data and was a contributor in writing the manuscript. MS contributed to the acquisition of data and was a contributor in writing the manuscript. TL contributed to the writing of the manuscript. All authors have read and approved the final manuscript and agree to be accountable for their contribution to the manuscript.

Corresponding author

Correspondence to Felicia A. Rabito.

Ethics declarations

Ethics approval and consent to participate

The Tulane University Biomedical IRB approved this study. The reference number is: FWA00002055. Written informed consent was obtained from parents/guardians of all participants. Assent (written) was obtained from children seven years and older.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rabito, F.A., Werthmann, D., He, H. et al. Cockroach exposure and perceived stress interact to predict clinical outcomes in childhood asthma. BMC Pulm Med 21, 83 (2021). https://doi.org/10.1186/s12890-021-01447-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12890-021-01447-0

Keywords

BMC Pulmonary Medicine

ISSN: 1471-2466

Contact us