Next Article in Journal
Accumulation of Co, Ni, Cu, Zn and Cd in Aboveground Organs of Chinese Winter Jujube from the Yellow River Delta, China
Previous Article in Journal
Mindfulness-Based Movement Intervention to Improve Sleep Quality: A Meta-Analysis and Moderator Analysis of Randomized Clinical Trials
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 16
10.3390/ijerph191610285
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Adolescents with Atopic Dermatitis Have Lower Peak Exercise Load Capacity and Exercise Volume Compared with Unaffected Peers

by
Tsung-Hsun Yang
1,
Po-Cheng Chen
1,
Yun-Chung Lin
1,
Yan-Yuh Lee
1,
Yu-Hsuan Tseng
1,
Wen-Hsin Chang
2,
Ling-Sai Chang
3,4,
Chia-Hsuan Lin
1 and
Ho-Chang Kuo
3,4,*
1
Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
2
Department of Sports Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
3
Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
4
Kawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(16), 10285; https://doi.org/10.3390/ijerph191610285
Submission received: 10 July 2022 / Revised: 9 August 2022 / Accepted: 16 August 2022 / Published: 18 August 2022
(This article belongs to the Topic Exercise and Chronic Disease)
Review Reports Versions Notes

Abstract

:
Background: Sweating and increased skin temperature caused by exercise can reduce physical activity and the willingness to exercise in adolescents with atopic dermatitis. This study was conducted to investigate the exercise load capacity of adolescents with atopic dermatitis and analyzed their exercise behavior and motivation. Methods: Adolescents with and without atopic dermatitis were assigned to the atopic dermatitis group and control group (n = 27 each). Both groups completed a cardiopulmonary exercise test and questionnaires to assess their exercise capacity, weekly exercise volume, exercise motivation, and self-efficacy, respectively. Results: The ratio of measured forced vital capacity to the predicted forced vital capacity and the peak oxygen consumption of the atopic dermatitis group were significantly lower than those of the control group. The Godin Leisure-Time Exercise Questionnaire scores of the atopic dermatitis group were significantly lower than those of the control group. As for the Behavioral Regulation in Exercise Questionnaire 2, the scores for the introjected and identified regulations of the atopic dermatitis group were significantly lower than those of the control group. Regarding the Multidimensional Self-Efficacy for Exercise Scale, the scheduling efficacy and total scores of the atopic dermatitis group were significantly lower than those of the control group. Conclusions: Adolescents with atopic dermatitis had lower peak exercise capacity and lower weekly exercise volume. Furthermore, they lacked the negative feelings toward inactivity and the self-confidence to plan regular exercise independently. The results of this study suggest that adolescents with atopic dermatitis should be encouraged to engage in regular indoor exercise.

1. Introduction

Atopic dermatitis (AD) is a chronic inflammatory skin disorder that usually occurs in early childhood. The pathogenic factors of AD, which results in immune dysregulation, ref. [1] are complex, with possible links to the interaction of genes, the immune system, and the environment. The main symptoms of AD include eczema of the face, neck, and limbs; pruritus; and recurrent inflammatory flare-ups [2].
Physical activity during adolescence can help to develop a healthy lifestyle that persists into adulthood and reduces the incidence of chronic illness [3]. However, exercise-induced sweating and increases in skin temperature can aggravate the symptoms of AD [4,5], reducing the willingness to exercise and the exercise volume in this patient population [6]. A lack of physical activity can negatively affect health in the long term, but few studies have surveyed the exercise behavior of adolescents with AD. Lim et al. reported that higher physical activity was positively associated with AD in Korean adolescents [7] but their assessment of exercise volume was limited. Kong et al. reported that within one year of diagnosis, Korean adolescents with AD did lower moderate and vigorous physical activity and muscle strengthening exercises compared to those without AD and that regular engagement with exercise had a positive impact on the mental health of this patient population [8]. No previous study has investigated the cardiopulmonary fitness of adolescents with AD. Additional investigation is required to understand the exercise behavior and exercise load capacity of adolescents with AD. The aim of this study was to investigate the exercise load capacity, regular exercise volume, motivation, and self-efficacy of adolescents with AD.

2. Materials and Methods

2.1. Experimental Design

This study adopted a cross-sectional design.

2.2. Participant Recruitment and Characteristics

Participant recruitment was conducted at a medical center in Taiwan. Patients diagnosed as having AD by a pediatric allergy specialist physician were assigned to the AD group (AD is defined as a chronic relapsing pruritic skin rash with dry skin, erythema, or scaling, as well as skin creases and characteristic areas [9,10]). Age- and gender-matched participants without any AD history or cardiopulmonary diseases that could affect function or physical activity were assigned to the control group. The inclusion criteria were patients with AD aged 13 to 19 years. Patients were excluded if they had (1) heart disease (e.g., heart failure, moderate-to-severe valvular heart disease, coronary artery disease, or severe arrhythmia), (2) lung disease (e.g., asthma or chronic obstructive pulmonary disease), (3) muscular, skeletal, or neurological diseases (e.g., fractures, arthritis, muscle strain, or polio) that could affect their ability to complete the exercise test, (4) obvious physical or mental disabilities and communication difficulties, or (5) refused to complete the exercise test or the questionnaires.

2.3. Exercise Habit and Environment

The participants were asked whether they engaged in regular outdoor or indoor exercise (at least 30 min per week). Participants in the AD group were asked whether exercise aggravated their AD symptoms and whether dermatitis affected their willingness to exercise.

2.4. AD Severity and Medication Status

The AD severity of the participants in the AD group was evaluated using the Scoring Atopic Dermatitis (SCORAD) Index [11], which consists of extent and intensity scores (total 83 points) and subjective symptom scores (total 20 points). AD symptom severity was determined using the extent plus intensity scores, where scores of <15, 15–40, and >40 corresponded to mild, moderate, and severe symptoms, respectively. The current dermatitis-related medication status (oral or topical steroids and the topical immunomodulator) of the AD group was also recorded.

2.5. Cardiopulmonary Exercise Test (CPET)

All participants were assessed using cardiopulmonary exercise testing (CPET) for the exercise load capacity. CPET was conducted using a MasterScreen CPX (Carefusion, 234 GmbH, Hochberg, Germany) to evaluate the participants’ cardiopulmonary function and exercise load capacity. Indicators of pulmonary function, including forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), and FEV1/FVC ratio, were evaluated through spirometry at rest. Subsequently, each participant was fitted with a mask connected to a gas analyzer and completed a treadmill exercise test according to the Bruce protocol [12]. The test was terminated if participants experienced unbearable symptoms [13]. During the test, blood pressure and heart rate were monitored and recorded. The gas analyzer recorded the oxygen uptake (VO2), exhaled carbon dioxide (VCO2), and minute ventilation (VE). When the respiratory exchange ratio (RER), the ratio of VCO2 to VO2, reached or exceeded 1.10, this demonstrated that sufficient exercise intensity had been achieved. The VE/VO2 and VE/VCO2 ratios can be employed to estimate the anaerobic threshold (AT). The ratio of oxygen consumption per kilogram of body weight (VO2/kg) at the AT and the predicted VO2/kg at the peak (hereafter referred to as AT%) were used to determine aerobic metabolic capacity. The ratio of VO2/kg at the peak and the predicted VO2/kg at the peak (hereafter referred to as Peak%) were used to assess peak exercise load capacity. Clinically, a Peak% of 85% or higher is considered a “normal” test result [14]. The peak rate pressure product (PRPP) can reflect myocardial perfusion and the stroke volume can be estimated from the ratio of the oxygen consumption to heart rate (O2 pulse). After the gender, age, height, and weight of the participants were entered, the predicted values of FVC, FEV1, VO2/kg at the peak, and O2 pulse at the peak were calculated and compared with the measured data.

2.6. Questionnaires

For assessment, participants completed self-reporting questionnaires including the Godin Leisure-Time Exercise Questionnaire (GLTEQ), the Chinese version of the Behavioral Regulation in Exercise Questionnaire 2 (BREQ-2), and the Multidimensional Self-Efficacy for Exercise Scale (MSES). The GLTEQ solicits responses concerning the average number of times high-, medium-, and low-intensity exercises were performed for more than 15 min per week in the previous year; the results thus reflect participants’ weekly exercise volumes. Higher scores represent a higher weekly exercise volume [15,16]. The BREQ-2 evaluates exercise motivation and behavioral regulation. It contains 5 aspects related to exercise behavior regulation, namely amotivation, external regulation, introjected regulation, identified regulation, and intrinsic regulation. Higher scores represent higher agreement with the item description [17,18]. MSES, which comprises 9 items, considers 3 types of self-efficacy related to exercise: task efficacy, coping efficacy, and scheduling efficacy [19]. On a scale from 0 to 10, respondents rate their level of confidence in the situation described, with higher scores indicating higher confidence [19].

2.7. Statistical Analysis

Analyses were performed using Medcalc software version 19 (Medcalc Software, Ostend, Belgium). The chi-square test was conducted to compare intergroup differences in the categorical variables (e.g., gender, regular exercise habit, reasons for CPET termination, and the achievement of sufficient exercise intensity). The independent samples t-test was performed to examine the continuous variables (e.g., age, height, weight, BMI, and CPET results). A p value of <0.05 was considered statistically significant.

3. Results

3.1. Demographics

The study period was from February 2019 to July 2020. In all, 54 participants (n = 27 in each group) were enrolled. No statistically significant differences in gender, age, height, weight, or body mass index between the two groups were observed (Table 1).

3.2. Severity of AD and Medication Status

The mean score of the SCORAD index in the AD group was 19.11 ± 13.91 points, and 12 (44%), 13 (48%), and 2 (7%) of the participants were classified as having mild, moderate, and severe AD, respectively (Table 1). Eight participants (30%) in the AD group did not regularly take medication for AD. Nineteen (70%) used at least one oral or topical medication regularly.

3.3. Exercise Environment and Willingness

In all, 25 participants (93%) in the AD group and 22 participants (81%) in the control group regularly engaged in outdoor exercise, and 12 (44%) in the AD group and 17 (63%) in the control group regularly engaged in indoor exercise. No significant difference was observed between the two groups in regular engagement in outdoor and indoor exercise (p = 0.229 and p = 0.176, respectively).
Overall, 15 of the 25 participants in the AD group who regularly engaged in outdoor exercise reported that outdoor exercise exacerbated their symptoms. Only 1 of the 12 participants who regularly engaged in indoor exercise reported that it exacerbated their symptoms. In total, 7 of the 27 participants noted that the symptoms of AD affected their willingness to exercise.

3.4. CPET Results

All participants completed the CPET. No adverse events occurred. In the AD group, 16, 6, 3, and 2 participants terminated their CPET because of soreness in their legs (59%), shortness of breath (22%), VO2 plateauing (11%), and perceived inability to match the speed of the treadmill (7%), respectively. Moreover, 13, 8, and 6 participants in the control group ended their tests because of soreness in their legs (48%), shortness of breath (30%), and VO2 plateauing (22%), respectively. A comparison of the reasons for test termination between the two groups revealed no significant difference (p = 0.309).
Table 2 presents a comparison of the results of lung function and CPET between the AD and control groups. FVC%, VO2/kg at peak, and Peak% were significantly lower in the AD group than in the control group. No significant between-group differences in other measures were identified.

3.5. Questionnaire Results

Table 3 presents an intergroup comparison of the questionnaire results. The GLTEQ scores, introjected and identified regulation scores on the BREQ-2, and scheduling efficacy and total MSES scores of the AD group were significantly lower than those of the control group. No other significant intergroup differences were identified.

4. Discussion

This is the first study to investigate the capacity, behavior, and motivation of exercise in adolescents with AD. Compared with the control group, the AD group had a lower VO2/kg at peak and Peak%, indicative of a lower peak exercise load capacity. According to the GLTEQ scores, the AD group had a lower weekly exercise volume. The results support the premise that adolescents with AD exercise less than their unaffected peers. Moreover, the results also provide evidence to show that this inactivity negatively affects their cardiopulmonary exercise capacity.
Various factors can lead to the lower physical activity of individuals with AD. As mentioned, sweating and high skin temperatures from exercise can aggravate symptoms [4]. Moreover, dermatitis on the soles or the palms can limit the types of sports that can be played [20]. However, regular exercise can improve physical fitness performance and bone growth, reduce psychological stress, and reduce the risk of cardiovascular disease [21,22,23]. A cross-sectional study by Kong et al. noted that patients with chronic AD who exercised regularly tended to have lower psychological stress [8]. In this study, considerably fewer participants reported the aggravation of AD symptoms from indoor exercise than from outdoor exercise (1/12 vs. 15/25; 8% vs. 60%). Thus, the researchers assumed that indoor exercise without sun exposure induced fewer exercise-related symptoms of AD. Based on these results, adolescents with AD should be encouraged to engage in indoor exercise for better health and lesser aggravation of AD symptoms [24].
In our study, FVC% was lower in the AD group than in the control group. FVC is the maximum volume of air exhaled with a maximally forced effort and could be reduced due to suboptimal patient effort, respiratory muscle weakness, restriction, airflow limitation, or a combination of these [25]. It could be a key indicator of long-term survival. Burney and Hooper revealed that FVC, and not FEV1 or FEV1/FVC, predicts survival in adults without chronic respiratory diagnosis or persistent respiratory symptoms [26]. However, to the best of our knowledge, no previous study has investigated FVC in patients with AD. Fuster et al. indicated that FVC increases with increasing physical activity [27]. In the present study, the lower FVC% of the AD group could have resulted from their low level of physical activity. Nonetheless, the status of FVC in patients with AD must be explored further in future studies.
The introjected and identified regulation scores of the AD group were lower than those of the control group, indicating that the participants with AD were less likely to have negative feelings regarding their lack of exercise. They also indicated that these participants failed to ascribe health benefits to regular exercise. The scheduling efficacy score and total score of the AD group on the MSES were also lower than those of the control group, demonstrating that the AD group had less confidence in effectively formulating an appropriate exercise plan. In the study by Kong et al., adolescents with chronic AD were less likely to engage in physical activity of moderate-to-high intensity [8], a trend that persisted with age. Silverberg and Greenland reported that the intensity, frequency, and amount of exercise in adults with a history of AD were lower than those in adults without AD [28]. Therefore, the cultivation of the positive value of exercise and regular exercise habits should begin in adolescence. In health education, the benefits of regular exercise should be explained to enhance the willingness to engage in exercise as well as the amount of exercise. Mobile devices and relevant software can be applied to monitor exercise volume as well as to set a reminder for regular exercise.
Multiple studies have supported the possible relationship between AD and exercise-induced bronchoconstriction (EIB) [29,30], and the impact of EIB could reduce participation in physical activity [31]. Diagnostic testing methods for EIB include measuring lung function changes after a standardized exercise challenge test [32]. However, because of equipment and technical constraints, we performed a pulmonary function test only once before exercise but not after exercise. Although the percentage of participants who ended their tests because of shortness of breath was lower in the AD group than in the control group (22% vs. 30%), EIB could not be excluded. Future research must be conducted to investigate the relationship between EIB, exercise load capacity, and physical activity.
This study has several limitations. First, the sample size was relatively small. Second, all the participants were patients at the same medical center and most of them had AD of mild-to-moderate severity; in other words, they may not be representative of all adolescents with this condition. Third, exercise behavior was assessed through the self-reporting GLTEQ. Self-reporting questionnaires are susceptible to problems concerning memory recall; moreover, they cannot reflect all physical activities performed in daily life. Fourth, repeat pulmonary function tests were not performed after exercise so EIB could not be excluded. Finally, Taiwan has a subtropical climate (except for the southern part of the island, which has a tropical climate) characterized by warmth and humidity, conditions that could affect the symptom severity of individuals with AD. Therefore, future studies should increase the sample size, include patients with varying severities of AD, and recruit individuals from different regions or countries.

5. Conclusions

In comparison with their unaffected peers, adolescents with AD had a lower peak exercise load capacity, FVC%, and weekly exercise volume, as well as fewer negative feelings toward inactivity, less positive recognition of the benefits of regular exercise, lower exercise self-efficacy, and less self-confidence in planning regular exercise. The results indicate that physicians and parents should encourage adolescents with AD to exercise indoors and to support their motivation and self-efficacy.

Author Contributions

T.-H.Y., H.-C.K. and W.-H.C. participated in the research design. T.-H.Y. and H.-C.K. contributed to the funding acquisition. T.-H.Y., Y.-Y.L., P.-C.C. and Y.-C.L. contributed to the acquisition of data. T.-H.Y., Y.-H.T. and C.-H.L. analyzed the data and wrote the original draft. H.-C.K. and L.-S.C. supervised this work and reviewed the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study received funding from the following grants: MOST 108-2314-B-182-037-MY3 from the Ministry of Science and Technology of Taiwan and CMRPG8L0021, CMRPG8J0181, and CMRPG8J0611-2 from Chang Gung Memorial Hospital, Taiwan. Although these institutes provided financial support, they had no influence on how we collected, analyzed, or interpreted the data or wrote this manuscript.

Institutional Review Board Statement

The study protocol was reviewed and approved by the Institutional Review Board of Chang Gung Medical Foundation (approval number: 201701783A3C501). A briefing was performed by the principal investigator, after which written informed consent was obtained from all the participants.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy.

Acknowledgments

The authors would like to thank the participants in the study for their consent and cooperation. Many thanks to I-Hua Chu of Kaohsiung Medical University’s Department of Sports Medicine for her guidance and recommendations about exercise behaviors and sports psychology assessments.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Eichenfield, L.F.; Tom, W.L.; Chamlin, S.L.; Feldman, S.R.; Hanifin, J.M.; Simpson, E.L.; Berger, T.G.; Bergman, J.N.; Cohen, D.E.; Cooper, K.D.; et al. Guidelines of care for the management of atopic dermatitis: Section 1. Diagnosis and assessment of atopic dermatitis. J. Am. Acad. Dermatol. 2014, 70, 338–351. [Google Scholar] [CrossRef] [PubMed]
  2. Leung, D.Y.; Bieber, T. Atopic dermatitis. Lancet 2003, 361, 151–160. [Google Scholar] [CrossRef]
  3. Hallal, P.C.; Victora, C.G.; Azevedo, M.R.; Wells, J.C. Adolescent physical activity and health: A systematic review. Sports Med. 2006, 36, 1019–1030. [Google Scholar] [CrossRef]
  4. Williams, J.R.; Burr, M.L.; Williams, H.C. Factors influencing atopic dermatitis-a questionnaire survey of schoolchildren’s perceptions. Br. J. Dermatol. 2004, 150, 1154–1161. [Google Scholar] [CrossRef] [PubMed]
  5. Tay, Y.K.; Kong, K.H.; Khoo, L.; Goh, C.L.; Giam, Y.C. The prevalence and descriptive epidemiology of atopic dermatitis in singapore school children. Br. J. Dermatol. 2002, 146, 101–106. [Google Scholar] [CrossRef]
  6. Ražnatović Đurović, M.; Janković, J.; Tomić Spirić, V.; Relić, M.; Sojević Timotijević, Z.; Ćirković, A.; Đurić, S.; Janković, S. Does age influence the quality of life in children with atopic dermatitis? PLoS ONE 2019, 14, e0224618. [Google Scholar] [CrossRef] [PubMed]
  7. Lim, M.S.; Lee, C.H.; Sim, S.; Hong, S.K.; Choi, H.G. Physical activity, sedentary habits, sleep, and obesity are associated with asthma, allergic rhinitis, and atopic dermatitis in korean adolescents. Yonsei Med. J. 2017, 58, 1040–1046. [Google Scholar] [CrossRef]
  8. Kong, S.; Koo, J.; Lim, S.K. Associations between stress and physical activity in korean adolescents with atopic dermatitis based on the 2018–2019 korea youth risk behavior web-based survey. Int. J. Environ. Res. Public Health 2020, 17, 8175. [Google Scholar] [CrossRef]
  9. Kuo, H.-C.; Chu, C.-H.; Su, Y.-J.; Lee, C.-H. Atopic dermatitis in taiwanese children: The laboratory values that correlate best to the scorad index are total ige and positive cheddar cheese ige. Medicine 2020, 99, e21255. [Google Scholar] [CrossRef]
  10. Williams, H.C. Clinical practice. Atopic dermatitis. N. Engl. J. Med. 2005, 352, 2314–2324. [Google Scholar] [CrossRef]
  11. Stalder, J.F.; Taieb, A.; Atherton, D.J.; Bieber, P.; Bonifazi, E.; Broberg, A.; Calza, A.; Coleman, R.; De Prost, Y.; Stalder, F.; et al. Severity scoring of atopic dermatitis: The scorad index. Consensus report of the european task force on atopic dermatitis. Dermatology 1993, 186, 23–31. [Google Scholar]
  12. Fletcher, G.F.; Ades, P.A.; Kligfield, P.; Arena, R.; Balady, G.J.; Bittner, V.A.; Coke, L.A.; Fleg, J.L.; Forman, D.E.; Gerber, T.C.; et al. Exercise standards for testing and training: A scientific statement from the American heart association. Circulation 2013, 128, 873–934. [Google Scholar] [CrossRef] [PubMed]
  13. Riebe, D.; Ehrman, J.K.; Liguori, G.; Magal, M.; American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription; Wolters Kluwer: Philadelphia, PA, USA, 2018; pp. 111–142. [Google Scholar]
  14. Wasserman, K.; Whipp, B.J. Excercise physiology in health and disease. Am. Rev. Respir. Dis. 1975, 112, 219–249. [Google Scholar] [PubMed]
  15. Godin, G.; Shephard, R.J. Godin leisure-time exercise questionnaire. Med. Sci. Sports Exerc. 1997, 29 (Suppl. S6), S36–S38. [Google Scholar]
  16. Godin, G.; Shephard, R.J. A simple method to assess exercise behavior in the community. Can. J. Appl. Sport Sci. 1985, 10, 141–146. [Google Scholar]
  17. Kao Shiao, G.F.; Chen, J.J.; Fang, Y.T.; Lee, H.C. Reliability and validity of the chinese version of the “behavior regulation in exercise questionnaire-2” (breq-2). Formos. J. Phys. Ther. 2012, 37, 167–178. [Google Scholar]
  18. Markland, D.; Tobin, V. A modification to the behavioural regulation in exercise questionnaire to include an assessment of amotivation. J. Sport Exerc. Psychol. 2004, 26, 191–196. [Google Scholar] [CrossRef]
  19. Rodgers, W.M.; Wilson, P.M.; Hall, C.R.; Fraser, S.N.; Murray, T.C. Evidence for a multidimensional self-efficacy for exercise scale. Res. Q. Exerc. Sport 2008, 79, 222–234. [Google Scholar] [CrossRef]
  20. Silverberg, J.I.; Song, J.; Pinto, D.; Yu, S.H.; Gilbert, A.L.; Dunlop, D.D.; Chang, R.W. Atopic dermatitis is associated with less physical activity in us adults. J. Investig. Dermatol. 2016, 136, 1714–1716. [Google Scholar] [CrossRef]
  21. Janssen, I. Physical activity guidelines for children and youth. Appl. Physiol. Nutr. Metab. 2007, 32, S109–S121. [Google Scholar] [CrossRef]
  22. Che, L.; Li, D. The effects of exercise on cardiovascular biomarkers: New insights, recent data, and applications. Adv. Exp. Med. Biol. 2017, 999, 43–53. [Google Scholar] [PubMed]
  23. Piercy, K.L.; Troiano, R.P.; Ballard, R.M.; Carlson, S.A.; Fulton, J.E.; Galuska, D.A.; George, S.M.; Olson, R.D. The physical activity guidelines for americans. JAMA 2018, 320, 2020–2028. [Google Scholar] [CrossRef] [PubMed]
  24. Cheong, W.K. Gentle cleansing and moisturizing for patients with atopic dermatitis and sensitive skin. Am. J. Clin. Dermatol. 2009, 10 (Suppl. S1), 13–17. [Google Scholar] [CrossRef] [PubMed]
  25. Parker, M.J. Interpreting spirometry: The basics. Otolaryngol. Clin. N. Am. 2014, 47, 39–53. [Google Scholar] [CrossRef]
  26. Burney, P.G.; Hooper, R. Forced vital capacity, airway obstruction and survival in a general population sample from the USA. Thorax 2011, 66, 49–54. [Google Scholar] [CrossRef]
  27. Fuster, V.; Rebato, E.; Rosique, J.; Fernández López, J.R. Physical activity related to forced vital capacity and strength performance in a sample of young males and females. Coll. Antropol. 2008, 32, 53–60. [Google Scholar]
  28. Silverberg, J.I.; Greenland, P. Eczema and cardiovascular risk factors in 2 US adult population studies. J. Allergy Clin. Immunol. 2015, 135, 721–728. [Google Scholar] [CrossRef]
  29. Honjo, S.; Murakami, Y.; Odajima, H.; Adachi, Y.; Yoshida, K.; Ohya, Y.; Akasawa, A. An independent relation of atopic dermatitis to exercise-induced wheezing in asthmatic children. Allergol. Int. 2019, 68, 26–32. [Google Scholar] [CrossRef]
  30. Caffarelli, C.; Bacchini, P.L.; Gruppi, L.; Bernasconi, S. Exercise-induced bronchoconstriction in children with atopic eczema. Pediatric. Allergy Immunol. 2005, 16, 655–661. [Google Scholar] [CrossRef]
  31. Caggiano, S.; Cutrera, R.; Di Marco, A.; Turchetta, A. Exercise-induced bronchospasm and allergy. Front. Pediatr. 2017, 5, 131. [Google Scholar] [CrossRef]
  32. Carlsen, K.; Anderson, S.; Bjermer, L.; Bonini, S.; Brusasco, V.; Canonica, W.; Cummiskey, J.; Delgado, L.; Del Giacco, S.; Drobnic, F. Exercise-induced asthma, respiratory and allergic disorders in elite athletes: Epidemiology, mechanisms and diagnosis: Part i of the report from the joint task force of the european respiratory society (ers) and the european academy of allergy and clinical immunology (eaaci) in cooperation with ga2len. Allergy 2008, 63, 387–403. [Google Scholar] [PubMed]
Table
Table 1. General characteristics of the participants in each group.
Table 1. General characteristics of the participants in each group.
AD Group
(n = 27)		C Group
(n = 27)		p
Sex (male/female)15/1214/130.787
Age (year)14.59 ± 1.8515.37 ± 1.980.142
Height (cm)163.59 ± 9.70165.26 ± 9.800.533
Weight (kg)63.11 ± 19.5958.96 ± 13.450.369
BMI (kg/m2)23.10 ± 4.8821.53 ± 4.120.207
SCORAD index (score)26.44 ± 16.21
SCORAD index: extent + intensity (score)19.11 ± 13.91
Values are expressed as mean ± standard deviation. The chi-square test and independent samples t-test were used to compare differences between the two groups. AD: Atopic dermatitis; BMI: Body mass index; SCORAD: Scoring of atopic dermatitis.
Table
Table 2. Results of CPET in each group.
Table 2. Results of CPET in each group.
AD Group
(n = 27)		C Group
(n = 27)		p
FVC (L)2.99 ± 0.813.34 ± 0.790.117
FVC% (%)80.24 ± 10.3687.52 ± 11.370.017 *
FEV1 (L)2.79 ± 0.783.02 ± 0.720.268
FEV1% (%)89.00 ± 12.8294.27 ± 14.400.162
FEV1/FVC (%)93.19 ± 7.6090.61 ± 9.160.265
VO2/kg at AT (mL/min/kg)25.50 ± 7.3427.68 ± 7.950.305
AT% (%)61.35 ± 18.6768.36 ± 17.950.169
VO2/kg at peak (mL/min/kg)32.03 ± 8.7737.15 ± 9.210.041 *
Peak% (%)78.67 ± 20.7390.81 ± 16.790.022 *
Peak% exceeded 85% (Yes/No)11/1617/100.106
Peak O2 pulse (mL/beat)10.94 ± 3.6511.89 ± 3.270.320
O2 pulse% (%)91.48 ± 19.3197.48 ± 21.080.281
RER at peak1.16 ± 0.111.21 ± 0.120.142
RER < 1.10 (Yes/No)7/203/240.165
PRPP30,289.59 ± 4187.6931,288.22 ± 4465.420.401
Values are expressed as mean ± standard deviation. The independent samples t-test was used to compare differences between the two groups. CPET: Cardiopulmonary exercise test; AD: Atopic dermatitis; FVC: Forced vital capacity; FVC%: Percentage of FVC compared with predicted FVC; FEV1: Forced expiratory volume in one second; FEV1%: Percentage of FEV1 compared with predicted FEV1; VO2: Oxygen uptake; AT: Anaerobic threshold; AT%: Percentage of VO2/kg at AT compared with predicted peak VO2/kg; Peak%: Percentage of VO2/kg at peak compared with predicted peak VO2/kg; O2 pulse%: Percentage of peak O2 pulse compared with predicted peak O2 pulse; RER: Respiratory exchange ratio; PRPP: Peak Rate-Pressure Product. * p < 0.05.
Table
Table 3. Results of Godin Leisure-Time Exercise Questionnaire, BREQ-2, and Multidimensional Self-Efficacy for Exercise Scale in each group.
Table 3. Results of Godin Leisure-Time Exercise Questionnaire, BREQ-2, and Multidimensional Self-Efficacy for Exercise Scale in each group.
AD Group
(n = 27)		C Group
(n = 27)		p
Godin Leisure-Time Exercise Questionnaire (score)23.85 ± 23.2743.04 ± 33.190.017 *
BREQ-2
Amotivation (score)3.26 ± 3.433.22 ± 3.840.970
External regulation (score)4.52 ± 3.994.00 ± 3.320.606
Introjected regulation (score)2.07 ± 2.844.26 ± 3.180.010 *
Identified regulation (score)5.81 ± 3.668.89 ± 3.310.002 *
Intrinsic regulation (score)10.85 ± 3.6911.89 ± 4.130.335
RAI (score)23.30 ± 28.7431.52 ± 28.120.281
Multidimensional Self-Efficacy for Exercise Scale
Task efficacy (score)20.56 ± 6.6420.67 ± 5.350.946
Coping efficacy (score)9.67 ± 6.1510.85 ± 5.910.474
Scheduling efficacy (score)12.11 ± 9.1619.74 ± 8.070.002 *
Total score (score)42.33 ± 16.2851.89 ± 16.280.036 *
Values are expressed as mean ± standard deviation. The independent samples t-test was used to compare differences between the two groups. BREQ-2: The Behavioral Regulation in Exercise Questionnaire, 2nd edition; AD: Atopic dermatitis; RAI: Relative autonomy index. * p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Yang, T.-H.; Chen, P.-C.; Lin, Y.-C.; Lee, Y.-Y.; Tseng, Y.-H.; Chang, W.-H.; Chang, L.-S.; Lin, C.-H.; Kuo, H.-C. Adolescents with Atopic Dermatitis Have Lower Peak Exercise Load Capacity and Exercise Volume Compared with Unaffected Peers. Int. J. Environ. Res. Public Health 2022, 19, 10285. https://doi.org/10.3390/ijerph191610285

AMA Style

Yang T-H, Chen P-C, Lin Y-C, Lee Y-Y, Tseng Y-H, Chang W-H, Chang L-S, Lin C-H, Kuo H-C. Adolescents with Atopic Dermatitis Have Lower Peak Exercise Load Capacity and Exercise Volume Compared with Unaffected Peers. International Journal of Environmental Research and Public Health. 2022; 19(16):10285. https://doi.org/10.3390/ijerph191610285

Chicago/Turabian Style

Yang, Tsung-Hsun, Po-Cheng Chen, Yun-Chung Lin, Yan-Yuh Lee, Yu-Hsuan Tseng, Wen-Hsin Chang, Ling-Sai Chang, Chia-Hsuan Lin, and Ho-Chang Kuo. 2022. "Adolescents with Atopic Dermatitis Have Lower Peak Exercise Load Capacity and Exercise Volume Compared with Unaffected Peers" International Journal of Environmental Research and Public Health 19, no. 16: 10285. https://doi.org/10.3390/ijerph191610285

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop