Literature DB >> 32946202

Psychiatric and general health effects of COVID-19 pandemic on children with chronic lung disease and parents' coping styles.

Dilber Ademhan Tural1, Nagehan Emiralioglu1, Selma Tural Hesapcioglu2, Sevilay Karahan3, Beste Ozsezen1, Birce Sunman1, Halime Nayir Buyuksahin1, Ebru Yalcin1, Deniz Dogru1, Ugur Ozcelik1, Nural Kiper1.   

Abstract

BACKGROUND: We aim to assess the anxiety and depressive symptoms related to the COVID-19 pandemic in children with chronic lung disease and their parents and also to evaluate parents' coping strategies.
METHODS: Parents of children aged 4-18 years, with chronic lung disease (study group n = 113) and healthy control (n = 108) were enrolled in the study. General Health Questionnaire-12, specific COVID-19 related anxiety questions, The Coping Orientation to Problems Experienced inventory, coronavirus-related psychiatric symptom scale in children-parental form were used to analyze the psychiatric effects of COVID-19. Parents were also asked about how online education affected their family life and children. All data were compared between children/parents in the study and control groups. Risk factors related with anxiety scores of children were also analyzed.
RESULTS: Talking about the pandemic, concern about coronavirus transmission, taking precaution to prevent coronavirus transmission, making pressure to protect from COVID-19 were significantly higher in parents within the study group (p < .05). Parents in the study group used more problem-focused coping than parents in the control group (p = .003). Anxiety symptoms score was higher in children of the study group (p = .007). Parents in the study group found online education more useful than parents in the control group.
CONCLUSION: Children with chronic lung diseases and their parents have more anxiety due to COVID-19 pandemic and these parents use more mature coping strategies to manage the stress of the pandemic. Longitudinal and larger studies should be done in all aspects of online education in children with chronic lung diseases.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  COPE; COVID-19; anxiety; cystic fibrosis; interstitial lung disease; primary ciliary dyskinesia

Mesh:

Year:  2020        PMID: 32946202      PMCID: PMC7537125          DOI: 10.1002/ppul.25082

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


INTRODUCTION

Coronaviruses are enveloped single‐stranded RNA viruses that mainly cause common cold. However, like severe acute respiratory syndrome coronavirus (SARS‐CoV) , and Middle East respiratory syndrome coronavirus (MERS‐CoV), the World Health Organization (WHO) announced in January 2020 a new coronavirus (COVID‐19) that mainly affected the lower respiratory tract of patients and was named severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). As with SARS‐CoV and MERS‐CoV, SARS‐CoV‐2 mainly spreads through close contact with infected people via respiratory droplets. COVID‐19 mostly causes fever, dry cough, and tiredness, the symptoms range from mild to severe, and in some cases result in death. Fatalities were primarily seen in middle‐aged and older patients with chronic diseases such as malignancy, immunodeficiency, cirrhosis, hypertension, lung disease, coronary heart disease, and diabetes. Among children, symptomatic cases were usually seen in those with comorbidities such as chronic lung disease, immunodeficiency, and heart diseases. The most common chronic, progressive lung diseases with genetic inheritance are cystic fibrosis (CF), primary ciliary dyskinesia (PCD), and interstitial lung disease (ILD) in childhood. CF is one of the most common genetic diseases among Caucasians caused by a defect of the CF transmembrane conductance regulator gene. CF affects multiple systems, predominantly with pulmonary involvement. Chronic airway inflammation and mucus plugging cause structural lung destruction. PCD is a genetically heterogeneous disorder characterized by ciliary dysfunction that causes impaired mucociliary activity, which results in upper and lower respiratory tract infections. PCD morbidity is dependent on pulmonary damage with chronic suppurative airway infections, lung function degradation, and bronchiectasis, which begin during childhood. ILD is a rare heterogeneous group of diffuse parenchymal lung disease. Children with ILD consist of a wide spectrum of developmental, genetic, inflammatory, infectious, and reactive disorders. These diseases are related with high morbidity and mortality, and there is no proven treatment. The epidemic brought the risk of death and caused fear, anxiety, and behavioral and psychiatric disorders in most of the population worldwide. , As in other pandemics, all adults and children will experience some degree of health anxiety and fear during the COVID‐19 pandemic. , There are no detailed studies on the psychological effect of COVID‐19 on children with chronic lung disease. Owing to the fact that COVID‐19 mainly causes lung damage, the first aim of this study was to assess the anxiety and depressive symptoms related to the COVID‐19 pandemic in children with chronic lung disease and in their parents. The second aim was to evaluate the coping strategies used by parents in this pandemic environment.

METHODS

Study design—population and procedure

This is a case‐control, cross‐sectional study. Parents of patients aged 4–18 years, 200 with CF, 60 with PCD, and 25 with ILD who had been followed at our pulmonology center were invited to the study, 113 (39.6%) of whom agreed to participate in the study are evaluated. We recruited a control group consisting of 108 parents of healthy children aged 4–18 years who were contacted through close associations (e.g., neighbors, children's classmates, friends) of the parents of children with chronic lung diseases via email/social media applications on their phones. The questionnaire was sent out to the parents as a web‐based survey in April 2020, at which time COVID‐19 started to peak in Turkey. Parents answered the self‐report questionnaires for themselves and also for their children based on their external observations. The questionnaire was planned to take approximately 15 min and data collection was completed within 15 days. In the questionnaire, all parents were also asked about whether their children had a known chronic disease. According to the answer, children who had any chronic diseases such as diabetes mellitus, asthma, congenital heart diseases, immune deficiency, celiac disease, and so forth, were excluded from the study. Children with chronic lung diseases and their parents were defined as the study group. Healthy children and their parents were considered as the control group. All data were compared between the study group and the control group. Parents' monthly income was categorized as low (<3,000 TL), low to moderate (3,001–6,000 TL), normal (6,001–9,000 TL), and high (>9,000 TL). CF was diagnosed through clinical findings, two positive sweat tests, and/or genetic analysis. The diagnosis of PCD was based on clinical and radiologic findings, evaluations of ciliary beat frequency, and pattern using high‐speed video‐microscopy, and genetic analysis and/or electron microscopy. ILD was diagnosed through a combination of clinical and imaging features and lung biopsy and/or genetic analysis. Four of the ILD patients were diagnosed with hypersensitivity pneumonia, four with pulmonary hemosiderosis, and one with follicular bronchiolitis. Ethics approval was obtained on March 31, 2020, from the local institutional review board according to guidelines of the Helsinki Declaration of Human Rights (GO20/351). All participants provided informed consent and the confidentiality of the questionnaire information was assured.

Measures

A sociodemographic and coronavirus‐related data form was used to gather information including the participants' age, sex, education, employment status, family monthly income, coronavirus diagnosis in their family or associates, history of parents' psychological disorders, contact history with a COVID‐19 patient, family structure, age of the child for whom the questionnaire was answered, history of the child's chronic lung diseases or other chronic diseases, and disease‐specific information was requested. The General Health Questionnaire‐12 (GHQ‐12) was used to measure the mental health of the parents. The GHQ‐12 is a self‐assessment scale consisting of 12 items with response options of “no (1), not more than usual (2), more than usual (3), and much more than usual (4).” The total score ranges between 0 and 36, with higher scores indicating higher degrees of disturbance of the general mental health status. Scoring 15 or higher could be considered as increased risk of anxiety or depression. The Turkish validity and reliability study was performed in 1996 by Kılıc. The Coping Orientation to Problems Experienced inventory (COPE) is one of the most commonly used scales for evaluating coping strategies. Responses are assessed in 15 subscales of COPE: active coping, planning, suppression of competing activities, restraint coping, use of instrumental support, use of emotional support, positive reinterpretation and growth, acceptance, denial, use of religion, behavioral disengagement, and mental disengagement. COPE can also be evaluated as three major coping aspects: problem‐focused coping, emotional focused coping, and dysfunctional coping. The Turkish validity and reliability study was performed in 2005 by Agargun et al. Response options range from 1 (never do this) to 4 (I do this very often), and higher scores indicate more frequent use of that kind of coping strategy. The coronavirus‐related psychiatric symptom scale in children–parental form (CoV‐PSY‐CP) measures COVID‐19‐related depressive and anxiety symptoms in children and adolescents (age 4–18 years) according to parents' observations. CoV‐PSY‐CP consists of 35 questions and two subscales: anxiety and depression. The response options range from 0 (never) to 3 (completely). The scale's validity and reliability study was performed in 2020 by Tural Hesapcioglu et al. The assessment of the parents' COVID‐19‐related anxiety was assessed using specific questions such as the following. How much did the coronavirus outbreak affect your psychology in general? How often do you talk about coronavirus at home? How concerned are you about coronavirus transmission to you and your loved ones? How much precaution do you take to prevent coronavirus transmission? How much pressure do you put on your family to protect them from coronavirus? The response options of these questions were none, a little to moderate, and very much. Parents were also asked “How did online education affect your family life and children” with response options such as good, good‐bad, and bad, and then asked to specify how.

Statistical analyses

Statistical analyses were performed using the IBM SPSS for Windows Version 23.0 software. Numerical variables are expressed as mean ± SD or median [25th–75th percentile] as appropriate. Categorical variables are summarized as numbers and percentages. The normality of distribution of continuous variables was tested using the Shapiro–Wilk test. The Levene test was used to show the homogeneity of variances. Differences between two independent groups according to continuous variables were determined using the independent samples t test or Mann–Whitney U test as appropriate. The Kruskal–Wallis test was used to compare more than two independent groups. Categorical variables were compared using the χ 2 test. Multiple stepwise linear regression analysis was performed to explain the anxiety scores of the children. p values of less than .05 were considered statistically significant.

RESULTS

In this study, we evaluated 113 parents and their children in the study group and 108 parents and their children in the control group. Children with chronic lung disease were diagnosed as having CF (n = 92, 81.4%), PCD (n = 12, 10.6%), and ILD (n = 9, 8.0%). There were no significant differences in terms of demographic characteristics between the two groups of children (Table 1).
Table 1

Characteristics of children

Demographic characteristicsStudy groupControl group p
Age10.8 (±4.4)10.5 (±3.7).595
Preschool (4–5) n %21 (18.5%)8 (7.4%)
Middle childhood (6–11) n %40 (35.4%)60 (55.5%)
Adolescent (12–13) n %52 (46.1%)40 (37.1%)
Sex.948
Male57 (50.4%)54 (50.0%)
Female56 (49.6%)54 (50.0%)
Disease
CF92 (81.4%)
PCD12 (10.6%)
ILD9 (8.0%)

Abbreviations: CF, cystic fibrosis; ILD, interstitial lung disease; PCD, primary ciliary dyskinesia.

Characteristics of children Abbreviations: CF, cystic fibrosis; ILD, interstitial lung disease; PCD, primary ciliary dyskinesia. The psychiatric effects of COVID‐19 on children involved in the study were assessed using the CoV‐PSY‐CP scale through their parents. CoV‐PSY‐CP total scores were higher in the study group, but there were no statistical differences between the groups (p = .074). Anxiety symptom scores were higher in the study group (p = .007) and depressive symptoms scores were not different between the groups (p = .374). There were no statistical differences in total scores of CoV‐PSY‐CP, and anxiety and depression symptom scores of CoV‐PSY‐CP between the age categories were as preschool (4–6 years), middle school (7–11 years), and adolescents (12–18 years) among the groups (Table 2).
Table 2

The coronavirus‐related psychiatric symptom scale in children–parental form subscale and total scores according to the age groups

Study groupControl group Z p
Preschoolers (4–5 years) n = 21 (18.5%) n = 8 (7.4%)
Anxiety symptom score19.5 (±6.1)17.0 (±5.6)−1.066.306
Depression symptom score33.4 (±11.3)33.0 (±8.1)−0.426.693
Total score53.0 (±16.7)50.0 (±13.3)−0.042.983
Middle childhood (6‐11 years) n = 40 (35.4%) n = 60 (55.5%)
Anxiety symptom score21.2 (±7.8)18.9 (±6.1)−1.266.206
Depression symptom score33.8 (±12.3)31.8 (±9.3)−0.544.587
Total score54.9 (±19.3)50.7 (±14.5)−0.917.359
Adolescent (12‐13 years) n = 52 (46.1%) n = 40 (37.1%)
Anxiety symptom score24.3 (±8.3)21.0 (±7.1)−1.644.100
Depression symptom score36.9 (±14.5)33.5 (±11.6)−0.877.380
Total score61.2 (±21.6)54.5 (±17.4)−1.416.157
All age groups n = 113 (100.0%) n = 108 (100.0%)
Anxiety symptom score22.3 (±8.0)19.5 (±6.5)−2.702 .007
Depression symptom score35.2 (±13.2)32.6 (±10.0)−0.888.374
Total score57.5 (±20.2)52.1 (±15.5)−1.784.07

Note: Bold values imply a statistically significant result at the 5% significance level.

The coronavirus‐related psychiatric symptom scale in children–parental form subscale and total scores according to the age groups Note: Bold values imply a statistically significant result at the 5% significance level. The demographic characteristics of the parents are given in Table 3. There were no significant differences in terms of demographic characteristics, except the gender of the parents, between the two groups of parents.
Table 3

Demographic characteristics of the parents

Study group n (%)Control group n (%) p
Age (years) a 40.3 (±6.9)39.4 (±5.8).330
<305 (4.4%)6 (5.6%)
31–4049 (43.4%)55 (50.9%)
41–5050 (44.2%)44 (40.7%)
>509 (8.0%)3 (2.8%)
Sex .001
Male39 (34.5%)15 (13.9%)
Female74 (65.5%)93 (86.1%)
Educational level.308
Primary‐middle school30 (26.5%)24 (22.2%)
High school42 (37.2%)40 (37.0%)
College‐University39 (34.5%)37 (34.3%)
Master‐Doctorate2 (1.8%)7 (6.5%)
Monthly income.234
<3,000 TL45 (39.8%)45 (41.7%)
3,001–6,000 TL39 (34.5%)26 (24.1%)
6,001–9,000 TL15 (13.3%)15 (13.9%)
>9,000 TL14 (12.4%)22 (20.4%)
Family structure.404
Nuclear family98 (86.7%)98 (90.7%)
Extended family6 (5.3%)6 (5.6%)
Single parent family9 (8.0%)4 (3.7%)
Employment status.455
Unemployed60 (53.1%)49 (45.4%)
Employed53 (46.9%)59 (54.6%)
Having psychiatric disorders in you or your partner.361
No102 (90.3%)102 (94.4%)
Yes11 (9.7%)6 (5.6%)
Anyone in your family or around was diagnosed COVID‐191.000
No111 (98.2%)106 (98.1%)
Yes2 (1.8%)2 (1.9%)

Note: Bold values imply a statistically significant result at the 5% significance level.

mean (SD).

Demographic characteristics of the parents Note: Bold values imply a statistically significant result at the 5% significance level. mean (SD). The COVID‐19‐related anxiety and general psychological effects of the parents were assessed using GHQ‐12 and special questions about COVID‐19 anxiety. There was no significant difference between the groups in terms of the mean of total scores of the GHQ‐12. Also, there were no differences between the number of parents having GHQ‐12 scores lower than 15 and higher than 15 in the two groups. According to the COVID‐19‐specific anxiety questions, talking about the pandemic, concern about coronavirus transmission, taking precautions to prevent coronavirus transmission, and pressuring people to protect against COVID‐19 was significantly higher in the study group (see details in Table 4).
Table 4

Parent anxiety evaluation for COVID‐19 specific anxiety questions

Study group n (%)Control group n (%) p
How much did the coronavirus outbreak affect your psychology in general?.582
None1 (0.9%)3 (2.8%)
A little to moderate69 (61.1%)73 (67.6%)
Very much43 (38.0%)32 (29.6%)
How often do you talk about coronavirus at home? .041
None11 (9.7%)13 (12.0%)
A little to moderate93 (82.3%)87 (80.6%)
Too much9 (9.0%)8 (7.4%)
How concerned are you about coronavirus transmission to you and your loved ones? .002
None1 (0.9%)0 (0.0%)
A little to moderate23 (20.4%)39 (36.1%)
Too much89 (78.7%)69 (63.9%)
How much pressure do you put on your family to protect them by coronavirus? .046
None6 (5.3%)5 (4.6%)
A little to moderate39 (34.5%)55 (50.9%)
Too much68 (60.2%)48 (44.4%)
How much precaution do you take to prevent coronavirus transmission? .001
A little0 (0.0%)1 (0.9%)
Moderate1 (0.9%)9 (8.3%)
Too much112 (99.1%)98 (90.8%)
How did online education affect your family life and your children? a .044
Good43 (43.0%)29 (27.4%)
Good and bad17 (17.0%)18 (17.0%)
Bad40 (40.5%)59 (55.7%)

Note: Bold values imply a statistically significant result at the 5% significance level.

This question was answered only by parents whose children went to school.

Parent anxiety evaluation for COVID‐19 specific anxiety questions Note: Bold values imply a statistically significant result at the 5% significance level. This question was answered only by parents whose children went to school. According to the question about the effect of online education on the family and children, there were significant differences in answers between the groups (p = .044). Parents in the study group answered the question as “good” more than the control group. In the study group who answered as “good” mostly qualified the question by saying “My child became less sick and was not missing her education.” When all parents' answers were analyzed in detail, the most common reasons for answering as “good” and “bad” were explained as “It was good because I can spend more time with my child,” “It was bad because I thought that my child would not get enough education,” respectively. The parents' coping styles were assessed using COPE, the details are shown in Table 5. Planning, suppression of competing activity, and acceptance coping were used more in the study group than in the control group. Humor and mental disengagement coping strategies were used more by the control group than the study group. When COPE was assessed as the three major subscales, problem‐focused coping, emotional‐focused coping, and dysfunctional coping, the study group used more problem‐focused coping style than the control group (p = .003). There were no significant differences according to the use of emotional‐focused coping and dysfunctional coping between the groups (p = .361, p = .432, respectively).
Table 5

Comparison of coping strategies and GHQ scores of parents

Study groupControl group p
Coping strategies
Active coping13.6 (±2.1)13.1 (±2.3).061
Restraint coping9.5 (±2.2)9.2 (±2.0).176
Planning13.7 (±2.0)13.1 (±2.3) .046
Seeking social support—instrumental12.3 (±2.4)11.9 (±2.5).166
Seeking social support—emotional11.4 (±2.4)11.3 (±2.7).801
Suppression of competing activities11.6 (±2.0)10.5 (±2.0) .001
Positive reinterpretation and growth13.9 (±1.7)13.5 (±2.0).293
Turning to religion14.0 (±2.5)13.5 (±2.8).086
Humor6.8 (±2.4)7.9 (±2.8) .011
Acceptance11.8 (±2.6)11.0 (±2.5) .024
Focus on and venting of emotions11.4 (±2.2)11.4 (±2.6).963
Denial5.9 (±2.2)6.0 (±1.9).479
Behavioral disengagement5.3 (±2.2)5.6 (±2.2).259
Mental disengagement8.7 (±2.4)9.3 (±2.1) .046
Alcohol‐drug disengagement4.7 (±1.6)4.4 (±1.3).238
GHQ‐12
Total (mean)13.1 (±4.1)12.6 (±3.7).510
GSA < 1587 (77.0%)88 (81.5%).512
GSA > 1526 (23.0%)20 (18.5%)

Note: Bold values imply a statistically significant result at the 5% significance level.

Abbreviation: GSA, General Health Questionnaire‐12.

Comparison of coping strategies and GHQ scores of parents Note: Bold values imply a statistically significant result at the 5% significance level. Abbreviation: GSA, General Health Questionnaire‐12. CoV‐PSY‐CP scale results showed statistical differences according to the parents' GHQ‐12 scores being less than 15 or higher than 15. Details are shown in Table 6 for both children with chronic lung diseases and healthy children.
Table 6

CoV‐PSY‐CP scale results according to parents GHQ‐12

Parents
GHQ < 15GHQ > 15 p
Children with chronic lung diseases
Total53.5 (±16.6)70.6 (±25.2) .001
Anxiety20.9 (±6.1)26.6 (±8.6) .001
Depression32.6(±10.3)43.9 (±17.6) .003
Healthy children
Total50.1 (±14.9)60.7 (±15.5) .004
Anxiety18.5 (±6.1)23.6 (±6.0) .002
Depression31.5(±10.0)37.1 (±9.2) .011

Note: Bold values imply a statistically significant result at the 5% significance level.

Abbreviations: CoV‐PSY‐CP, psychiatric symptom scale related to coronary virus in Children–Parent Questionnaire; GSA, General Health Questionnaire‐12.

CoV‐PSY‐CP scale results according to parents GHQ‐12 Note: Bold values imply a statistically significant result at the 5% significance level. Abbreviations: CoV‐PSY‐CP, psychiatric symptom scale related to coronary virus in Children–Parent Questionnaire; GSA, General Health Questionnaire‐12. Multiple stepwise linear regression analysis was performed to explain the anxiety scores of the children. The total r 2 of this model was .21 (p < .001). The regression model to predict the children's anxiety included four of the seven potential factors: (1) Children’ age, (2) having chronic lung diseases, (3) if parents' GHQ was >15, (4) parent's dysfunctional coping strategies, (5) parent's general psychologic status, (6) talking more about coronavirus by parents, (7) parents making much pressure on the family to protect against the coronavirus. The results (Table 7) indicate that children's age, parents GHQ score, parent's coronavirus‐related anxiety (talking more about COVID‐19 and increased protection pressure on the family) significantly led to an increase in anxiety scores of CoV‐PSY‐CP.
Table 7

Linear regression model on CoV‐PSY‐CP anxiety score

Regression coefficient with 95.0% confidence interval
VariablesB β Lower limitUpper limit t p
Children age0.389.2150.1730.6063.458 <.001
Parent with GHQ > 154.589.2522.3586.8194.055 <.001
Increased talking about coronavirus by parents2.801.1890.9854.6173.040 .003
Increased protection pressure by parents2.095.1410.2493.9142.237 .026

Note: Bold values imply a statistically significant result at the 5% significance level.

Abbreviations: B, regression coefficient; β, standardized regression coefficient; CoV‐PSY‐CP, psychiatric symptom scale related to coronary virus in Children–Parent Questionnaire; GSA, General Health Questionnaire‐12.

Linear regression model on CoV‐PSY‐CP anxiety score Note: Bold values imply a statistically significant result at the 5% significance level. Abbreviations: B, regression coefficient; β, standardized regression coefficient; CoV‐PSY‐CP, psychiatric symptom scale related to coronary virus in Children–Parent Questionnaire; GSA, General Health Questionnaire‐12.

DISCUSSION

The COVID‐19 pandemic has gripped the world since early 2020. In our study, the children with chronic lung diseases and their parents were found to have more anxiety about COVID‐19 and the parents used more mature coping strategies such as problem‐focused coping when compared with parents of healthy children to manage the psychiatric effects of the pandemic. In all age groups, the mean anxiety symptom scores were higher in the study group, though the differences between the study and control groups were not found to be statistically significant which may be due to the small sizes of the age groups. When the mean anxiety symptom scores were compared over all age groups, the study group turned out to have a significantly higher mean score. This is possibly because of the larger sample sizes obtained when the age groups are combined. Like other pandemics, COVID‐19 also causes different degrees of psychiatric problems, especially fear and anxiety. , , , Lunn et al. showed that because COVID‐19 had no proper treatment, it led to panic and anxiety in the population. A study on the general population in China revealed that even during the initial phase of epidemic, one‐third of the study population had moderate‐to‐severe anxiety. In our study, when comparing parents in the study and control groups, there were no significant differences in demographic characteristics and total scores of GHQ‐12, but according to specific questions related with COVID‐19‐based anxiety, parents in the study group were more anxious than parents in the control group. Anxiety is not exclusively experienced only under pandemic conditions among parents of children with chronic lung diseases, it also frequently seen in normal situations. , , , , , Coping strategies include specific behavioral and psychological struggle to cope with unexpected stressful life events that help to manage and decrease the stress. These can change according to the situations and there are many coping methods. COPE can be divided into three subscales: problem‐focused coping strategies include the use of instrumental social support, active coping, restraint coping, suppression of competing activities, and planning; emotional‐focused coping strategies include positive reinterpretation and growth, turning to religion, humor, use of emotional social support, and acceptance; and dysfunctional coping strategies include mental disengagement, focus on and venting of emotions, denial, behavioral disengagement, and alcohol‐drug disengagement. Lazarus and Folkman specified problem‐focused coping strategies as directed to solving or preventing problems and emotional‐focused coping as used for coping with negative emotions, arising from problems. In our study, suppression of competing activities and planning, which are problem‐focused coping methods, and acceptance were used significantly more by parents of the study group. Humor and mental disengagement were used significantly more by parents of the control group. There are many studies on coping strategies in parents of children with CF, most of which placed emphasis on coping strategies related with the chronicity of the disease. , , , , There are also a few studies on the coping skills of parents of children with PCD or ILD, which generally evaluated the burden and health‐related quality of life of caregivers. , In general, each parent's effort to cope should be supported so that they can help contribute to their child's health through coping methods; a study highlighted the importance of fostering constructive and positive coping in caregivers. In agreement with our results, many studies have shown that patients with chronic lung disease have higher levels of anxiety compared with healthy controls. , , Senkalfa et al. was reported that COVID‐related anxiety was not significantly different between children with CF and healthy children. In our study, anxiety was more common in the study group but did not differ according to age categories. Children with chronic lung diseases already have disease anxiety; however, it can worsen during a pandemic because of increased parent anxiety, as expressed through increased frequency of talking about the coronavirus at home, putting more protection pressure due to COVID‐19, and the psychological problems of parents. Anxiety and depression symptoms were more common in children with parents who had GHQ more than 15 in both groups. Many countries have closed schools to slow the spread of the COVID‐19 and reduce the burden on healthcare systems as did our country. The Turkish government started online education immediately after the schools closed. The parents in the study group found online education favorable because their children were less ill and did not lag behind in their education. The online education option should be evaluated within all aspects in children with chronic lung diseases as other chronic progressive diseases. This study has some limitations. First, the study design was cross‐sectional so we cannot interpret causality. Second, it was conducted in a single center, which limits wider generalization of the results. Third, data were collected through parent reports, which may impact the reporting of their children's psychological problems. Also, we could not evaluate the relationship between anxiety degree and disease severity in children with chronic lung disease due to the hidden identity of the participants. Fourth, due to the small number of children with ILD and PCD, we could not perform statistical analyses between subgroups of chronic lung diseases. Fifth, there was only the gender of the parents significantly differing between the groups of parents in terms of demographic characteristics and fathers of children with chronic lung diseases participated in the study more than those of the control group. This situation can also make a bias on the results. Finally, parents answered the questionnaires based on their external observations for children in all ages. Although this may lead to some bias, it also allows us to have a standardized set of answers. Despite these limitations, there are some strengths of the study. Psychiatric effects of the COVID‐19 pandemic on children with chronic lung disease are analyzed by a COVID‐19 specific scale. The assessment of children's and their parent psychiatric symptoms at the same time could let us to evaluate the relation between parental and children's anxiety. This study can be a resource for future studies on the mental health of children with chronic lung in extreme natural traumatic events. In conclusion, children with chronic lung diseases and their parents had more anxiety due to the COVID‐19 pandemic. Parents of children with chronic lung disease use more problem‐focused coping strategies to manage the stress of the pandemic. These results reflect the acute effects of COVID‐19. For evaluation of the long‐term effects of the pandemic on children with chronic lung diseases, further studies are needed. Given that COVID‐19 causes lung damage in particular, children with chronic lung disease and their families should be supported in terms of anxiety and parent coping efforts to help manage the mental health of both parents and their children. Longitudinal and larger studies should be performed on all aspects of online education in children with chronic progressive diseases.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.
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Journal:  Soc Sci Med A       Date:  1981-05

5.  Anxiety, depression, and life satisfaction in parents caring for children with cystic fibrosis.

Authors:  Tanja Besier; Anja Born; Gerhard Henrich; Andreas Hinz; Alexandra L Quittner; Lutz Goldbeck
Journal:  Pediatr Pulmonol       Date:  2011-03-07

6.  The impact of epidemic outbreak: the case of severe acute respiratory syndrome (SARS) and suicide among older adults in Hong Kong.

Authors:  Paul S F Yip; Y T Cheung; P H Chau; Y W Law
Journal:  Crisis       Date:  2010

7.  Epidemiology of COVID-19 Among Children in China.

Authors:  Yuanyuan Dong; Xi Mo; Yabin Hu; Xin Qi; Fan Jiang; Zhongyi Jiang; Shilu Tong
Journal:  Pediatrics       Date:  2020-03-16       Impact factor: 7.124

8.  Validity and reliability study of coronavirus-related psychiatric symptom scale in children - parental form.

Authors:  Selma Tural Hesapçıoğlu; Sevilay Karahan; Dilber Ademhan Tural; Nagehan Emiralioğlu
Journal:  Turk Arch Pediatr       Date:  2021-05-01

9.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

10.  Pseudomonas aeruginosa isolation in patients with non-cystic fibrosis bronchiectasis: a retrospective study.

Authors:  Hong Wang; Xiao-Bin Ji; Bei Mao; Cheng-Wei Li; Hai-Wen Lu; Jin-Fu Xu
Journal:  BMJ Open       Date:  2018-03-14       Impact factor: 2.692

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  11 in total

1.  Perceived stress, family impact, and changes in physical and social daily life activities of children with chronic somatic conditions during the COVID-19 pandemic.

Authors:  Anne Krijger; Karolijn Dulfer; Hedy van Oers; Lorynn Teela; Brita de Jong-van Kempen; Anne van Els; Lotte Haverman; Koen Joosten
Journal:  BMC Public Health       Date:  2022-06-03       Impact factor: 4.135

Review 2.  Review: Mental health impacts of the COVID-19 pandemic on children and youth - a systematic review.

Authors:  Hasina Samji; Judy Wu; Amilya Ladak; Caralyn Vossen; Evelyn Stewart; Naomi Dove; David Long; Gaelen Snell
Journal:  Child Adolesc Ment Health       Date:  2021-08-28       Impact factor: 4.111

3.  COVID-19 Mental Health Impacts Among Parents of Color and Parents of Children with Asthma.

Authors:  Ashley H Clawson; Ashley B Cole; Cara N Nwankwo; Alexandra L Blair; Morgan Pepper-Davis; Nicole M Ruppe
Journal:  J Racial Ethn Health Disparities       Date:  2022-05-03

4.  Psychosocial and clinical effects of the COVID-19 pandemic in patients with childhood rheumatic diseases and their parents.

Authors:  Gizem Durcan; Kenan Barut; Fatih Haslak; Hilal Doktur; Mehmet Yildiz; Amra Adrovic; Sezgin Sahin; Ozgur Kasapcopur
Journal:  Rheumatol Int       Date:  2021-01-27       Impact factor: 2.631

Review 5.  COVID-19 and Pediatric Lung Disease: A South African Tertiary Center Experience.

Authors:  Diane M Gray; Mary-Ann Davies; Leah Githinji; Michael Levin; Muntanga Mapani; Zandiswa Nowalaza; Norbertta Washaya; Aamir Yassin; Marco Zampoli; Heather J Zar; Aneesa Vanker
Journal:  Front Pediatr       Date:  2021-01-20       Impact factor: 3.418

Review 6.  Narrative review: COVID-19 and pediatric anxiety.

Authors:  Kevin Walsh; William J Furey; Narpinder Malhi
Journal:  J Psychiatr Res       Date:  2021-10-19       Impact factor: 5.250

7.  Effects of COVID-19 pandemic on mental health of children and adolescents: A systematic review of survey studies.

Authors:  Monique Theberath; David Bauer; Weizhi Chen; Manisha Salinas; Arya B Mohabbat; Juan Yang; Tony Y Chon; Brent A Bauer; Dietlind L Wahner-Roedler
Journal:  SAGE Open Med       Date:  2022-03-30

8.  Early Evidence of the Interplay between Separation Anxiety Symptoms and COVID-19-Related Worries in a Group of Children Diagnosed with Cancer and Their Mothers.

Authors:  Chiara Dotto; Maria Montanaro; Silvia Spaggiari; Valerio Cecinati; Letizia Brescia; Simona Insogna; Livia Zuliani; Paolo Grotto; Cristina Pizzato; Daniela Di Riso
Journal:  Children (Basel)       Date:  2022-04-01

9.  Psychiatric and general health effects of COVID-19 pandemic on children with chronic lung disease and parents' coping styles.

Authors:  Dilber Ademhan Tural; Nagehan Emiralioglu; Selma Tural Hesapcioglu; Sevilay Karahan; Beste Ozsezen; Birce Sunman; Halime Nayir Buyuksahin; Ebru Yalcin; Deniz Dogru; Ugur Ozcelik; Nural Kiper
Journal:  Pediatr Pulmonol       Date:  2020-09-28

10.  Is coronavirus pandemic-related anxiety higher in children with chronic kidney disease than healthy children?

Authors:  Gökçen Erfidan; Gonca Özyurt; Seçil Arslansoyu-Çamlar; Özgür Özdemir-Şimşek; Cemaliye Başaran; Demet Alaygut; Fatma Mutlubaş; Belde Kasap-Demir
Journal:  Pediatr Int       Date:  2021-06-16       Impact factor: 1.617

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