Physical Activity Levels and Performance in Italian Adolescents with Cystic Fibrosis: A Multicenter Cross-sectional Study

ISSN: 2161-105X

Journal of Pulmonary & Respiratory Medicine

  • Research Article   
  • J Pulm Respir Med 2017, Vol 7(6): 430
  • DOI: 10.4172/2161-105X.1000430

Physical Activity Levels and Performance in Italian Adolescents with Cystic Fibrosis: A Multicenter Cross-sectional Study

Clizia Cazzarolli1*, Gloria Tridello1, Chiara Tartali2, Ilaria Meneghelli1, Maria Antonietta Ciciretti3, Giulia Mamprin4, Patrizia Fanzaghi5, Diletta Innocenti6, Francesca Grisorio3, Sara Tomezzoli1 and Sonia Volpi1
1Centro Regionale Veneto per la Cura della Fibrosi Cistica, Azienda Ospedaliera Universitaria Integrata Verona, Italy
2U.O.C. Medicina Fisica e Riabilitazione, Azienda ULSS 9 Scaligera Verona, Italy
3Servizio di Supporto Fibrosi Cistica di Cerignola, P.O. “G. Tatarella” ASL Foggia, Italy
4Servizio di Supporto Fibrosi Cistica di Treviso-Presidio Ospedaliero di Treviso, Italy
5Centro Regionale per la Fibrosi Cistica-Azienda Ospedaliero Universitaria di Parma, Italy
6Centro Regionale per la Fibrosi Cistica-Ospedale Meyer Firenze, Italy
*Corresponding Author: Clizia Cazzarolli, Centro Regionale Veneto per la Cura della Fibrosi Cistica, Azienda Ospedaliera Universitaria Integrata, Piazzale Stefani 1, 37126 Verona, Italy, Tel: +39 0458123162, Email: [email protected]

Received Date: Nov 06, 2017 / Accepted Date: Nov 09, 2017 / Published Date: Nov 16, 2017

Abstract

The aim of this study was to compare physical performance in Italian adolescents with different habitual activity levels and to examine its relationship with peripheral muscle strength and quality of life.
At regular clinic visits in 5 cystic fibrosis (CF) Centres in Italy, 35 subjects performed spirometry, incremental shuttle walk test (ISWT), one-repetition maximum (1 RM) and completed the Habitual Activity Estimation Scale (HAES). Subjects were divided into two groups, based on activity levels derived from the HAES.
More active subjects achieved higher ISWT distance (ISWD) (1040.4 m vs.851.3 m, p=0.2) and described better body image perception (75.7% vs. 66.7% p=0.3) than subjects in the less active group, but these results did not reach a statistical significance. There was no correlation between ISWD, lung function and quality of life, but we observed a moderate correlation between ISWD and upper limb strength (r=0.46).
Our data showed that more active subjects did not differ from less- active ones. Further studies should choose alternative tools to assess physical activity levels in order to detect the real engagement in vigorous activities, making it easier to compare and combine results and promote educational intervention.

Keywords: Cystic fibrosis; Adolescents; Habitual activity; Physical performance

What is Known

• Exercise participation improves clinical outcomes and prevents lung function decline.

• Adolescents with CF present a reduced participation in recreational and sportive activities.

What is New

• More active adolescents did not achieve higher distance in incremental shuttle walk test.

• Performance did not seem to be associated with lung function and strength.

Abbreviations

1RM: One Repetition Maximum; ATS: American Thoracic Society; BMI: Body Mass Index; CF: Cystic Fibrosis; CFQ-R: Revised Cystic Fibrosis Questionnaire; COPD: Chronic Obstructive Pulmonary Disease; FEV1: Forced Expiratory Volume in 1 Second; FEF25- 75: Forced Expiratory Flow At 25-75% of Forced Vital Capacity; HAES: Habitual Activity Estimation Scale; ISWD: Incremental Shuttle Walk Distance; ISWT: Incremental Shuttle Walk Test; PA : Physical Activity; QOL: Quality of Life; SA: Somewhat Active; SD: Standard Deviation; SI: Somewhat Inactive; TA: Total Activity; VA: Very Active; V’O2 peak: Peak Oxygen Uptake

Background

Cystic fibrosis (CF) is characterized by the progressive deterioration of lung function and reduction of exercise tolerance. For this reason, exercise is an important component in the care of subjects with CF [1,2].

A growing body of research has demonstrated that exercise training and physical activity (PA) are associated with decreased mortality [3], slower rate of decline in respiratory function [4,5], higher bone mineral density [6], improved nutritional status and health-related quality of life [7].

Habitual PA refers to activity that is incorporated into daily life, is less structured than traditional exercise training and can encompass a wide range of intensity levels. A progressive decline in PA levels and exercise participation occurs during adolescence both in healthy subjects and youth with CF [7].

Williams and Stevens stated that children and adolescents with CF have a reduced ability to tolerate exercise [8]; this has serious implications for their well-being and quality of life (QOL) and limits their involvement in sports and recreational activities. Several studies investigated the PA of subjects with CF compared to healthy subjects; however, the results were mixed and different depending on the study method and the age group included.

Nixon et al. [9] found that children and adolescents who participated in very strenuous PA had a reduced aerobic fitness even with well-preserved lung function.

Others described no significant differences in PA to healthy peers [2,7,10]. Regarding pulmonary function, some authors reported that higher PA levels were associated with a slower rate of decline in FEV1, specifically in girls with CF [5,11]. Considering these findings and given that many adolescents fail to reach the recommended level of PA, there is the need to ensure that youth are meeting the PA guidelines recommended for optimal health outcomes. In Italy, the current standards of care are poorly and sporadically implemented nationally and there are no published data on their PA levels in association with physical performance. These data could encourage an improved evidence based exercise evaluation and the prescription of exercise training.

The purpose of this study was twofold. First, we aimed to compare physical performance in Italian adolescents with different habitual activity levels. Second, we aimed to determine the relation between activity levels with muscle strength, lung function and quality of life. The hypothesis was that the adolescents with CF that spend more than 50% of time awake engaged in moderate-vigorous activity in a typical weekday would perform better measurments of PA, strength and have better QOL [12,13].

Materials and Methods

Study design and participants

This was a cross-sectional study that involved 5 CF centres in Italy.

Adolescents with a confirmed diagnosis of CF, aged between 12 and 18 years, were consecutively recruited from the paediatric CF out subject clinics at Cerignola (Foggia), Firenze, Parma, Treviso and Verona. Exclusion criteria were pulmonary exacerbation in the last two weeks, co-morbidities limiting mobilization, need of oxygen therapy or lung transplant recipient.

Ethics committees from Firenze, Foggia, Parma, Treviso and Verona approved the study protocol.

Written informed consent was obtained from each participant and from a parent or guardian if the adolescent was a minor.

Measurements

Anthropometric data: Height and weight were measured and a z-score for body mass index percentiles was calculated according to Centers for Disease Control and Prevention 2000 Standards [14].

Pulmonary function testing: Spirometry was performed according to ATS technique [15]. Value was expressed as a percentage of the predicted value for height, gender and age.

Habitual activity: Subjects completed the Habitual Activity Estimation Scale (HAES) questionnaire for a typical weekday of the previous 2 week [16]. Percentage of time awake was documented in each of 4 activity categories: inactive (lying down), somewhat inactive (SI, sitting down), somewhat active (SA, walking) and very active (VA, those activities that make subject “breathe hard and sweat”). The use of wake-up and bedtimes as well as meal times and durations allowed the calculation of the total number of hours per day spent in each of the 4 categories. Total activity (TA) was calculated as SA+VA for each day.

For this study, habitual activity was expressed as the time when the study subject was awake and engaged in moderate-vigorous activity and recorded for a typical weekday. Subjects with a awake time of 25 percentile or more were classified as “active”, whilst subjects active for less than 25 percentile of awake time were considered “less-active” [12,13].

Physical performance: Performance was assessed using the Incremental Shuttle Walk Test (ISWT) that is a validated field test of exercise tolerance in CF in which participants walk 10 m lengths at progressively increasing paces [17]. The number of completed shuttles and ISWT distance (ISWD) recorded and used to express exercise tolerance.

Muscle strength: Measuring muscle strength consisted of a onerepetition maximum strength test (1 RM) [18,19]. The 1RM test is defined as the maximum weight lifted once during the performance of a standardised weight lifting exercise. The 1 RM test involved two movements: elbow flexion and squat.

Quality of life: The Italian Revised CF Quality of Life Questionnaire (CFQ-R) was administered to assess the subject’s quality of life. The CFQ-R is a validated instrument for CF subjects that scores quality of life in twelve general and CF-specific domains. This study focused on six pre-defined exercise-related domains: physical functioning, emotional functioning, social functioning, body image perception, burden of treatment and respiratory wellness. Scores for each domain were expressed on a scale of 0- 100 [20].

Statistics sample size: Assuming that the difference between active and less-active group is comparable to the benefit obtained after an antibiotic treatment, we expect to detect a difference of 175 meters at the Incremental Shuttle Walk Test (ISWT) between the two groups [21]. To verify this hypothesis, a total of 30 subjects are needed, considering a standard deviation of 160, two sided alpha equal to 0.05, power=80%. Since that, questionnaire and tests are performed during the same day, no drop-out are expected.

Statistical analysis: The main characteristics of subjects were described reporting absolute and percent frequencies in case of categorical variables and median, range, mean and standard deviation (SD) for the continuous variables.

Primary endpoint: The physical performance was compared in the active and in less-active group by the Mann-Whitney test.

Difference in weight, height, BMI, pulmonary function testing (vital capacity, FEV1 and FEF25-75, expressed as a percentage of the predicted value for height, gender and age), muscle strength and QoL were investigated in the two groups as secondary endpoints: their differences were tested using the Chi square test or Fisher exact test in case of categorical variables, and the Mann-Whitney test in case of continuous variables. A p-value

All the analyses were performed by using the statistical software SAS (ver 9.4, SAS Institute Inc., Cary, NC, USA).

Results

Demographics

A total of 35 eligible subjects were included in the study: 18 males and 17 females, mean age at enrolment 15.4, range 11.8-18.7. Overall subjects showed normal lung function (mean FEV1 82.0% predicted) and fairly good nutritional status (mean BMI percentile-for-age 34.8 ± 26.8).

Main characteristics of subjects are presented in Table 1. Since that no major difference in demographic and clinical characteristics were observed between active and less-active population, the two groups could be considered comparable. Table 2 describes PA data in the two groups.

Characteristics All
N=35
Activitylevel p
Active
N=27
Less-active
N=8
Gender (M/F) 18/17 13/14 5/3  
Age (yrs) 15.4±1.9
(11.8-18.7)
15.4±2.0
(11.8-18.7)
15.1±1.5
(13.0-16.8)
n.s.
BMI%for age 34.8± 26.8
(0.3-89.6)
35.2 ± 24.7
(2.63-76.8)
33.1±34.7
(0.26-89.6)
n.s.
FEV1%pred 82.0±25.3
(2.5-134)
82.1± 26.5
(2.5-134)
81.6±22.3
(44-107)
n.s.
FEF25-75%pred 65.5± 29.8
(12-116)
68.8±29.7
(12-116)
54.6±29.5
(19-95)
n.s.
Data ar epresented as n or mean ± SD (range), n.s=not statistically different

Table 1: Demographic and clinical characteristics in the study measured by activity levels.

Characteristics Activity level
Active
N=27
Less-active
N=8
Total activity hours 9.9±2.5
(6.5-14.3)
4.7±1.1
(2.8-6.4)
Total % of time awake that the subject is active 62.4±13.9
(39.7-83.4)
33.3±7.5
(20.3-42.8)
Data are presented as n or mean±SD (range).

Table 2: Physical activity data.

Primary endpoint

Physical performance. The mean ISWD obtained was about 200 m higher in the active group (1040.4 m ± 336.4) respect to the less-active group (851.3 m ± 168.9), even this difference was statistically significant (p=0.2) (Figure 1)

pulmonary-respiratory-Physical-performance

Figure 1: Physical performance between active group and less active group.

Secondary endpoints

Muscle strength. The mean 1RM arms value was 7.2 ± 4.6 and 6.8 ± 2.8 for the active and the less-active group, respectively; whilst the mean 1RM leg value was 40.3 ± 21.8 and 38.2 ± 17.9, respectively (Table 3).

Characteristics All
N=35
Activity level p
Active
N=27
Less-active
N=8
ISWT
(distance-meters)
997.1±314.5(520-1500) 1040.4±336.4(520-1500) 851.3±168.9(630.0-1100) n.s.
ISWT
(level)
11.4±2.3(8-15) 11.7 ± 2.5(8-15) 10.6±1.2(9-12) n.s.
1RMarms 7.1±4.3(3-23.5) 7.2±4.6(3-23.5) 6.8 ± 2.8(4-12) n.s.
1RMlegs 39.8±20.8(5-89.5) 40.3± 21.8(5-89.5) 38.2 ± 17.9(15-62) n.s.
CFQ-R scores  
Physical 82.4±20.6(12.5-100) 81.7±22.3(12.5-100) 84.9 ± 14.1(66.7-100) n.s.
Emotional 78.4±19.6(20-100) 79.4±20.3(20-100) 74.8±17.9(46.7-100) n.s.
Social 70.4±13.0(44.4-88.9) 69.8±11.9(44.4-88.9) 72.3± 16.9(44.4-88.9) n.s.
Body image 73.7±24.3 (0100) 75.7± 24.7(0-100) 66.7±23.0(33.3-100) n.s.
Data are presented as n or mean ± SD (range). n.s.=not statistically different

Table 3: Secondary endpoints measured by activity levels.

Quality of life

A 9-point higher score was detected for the body image perception domain in the active group respect to the less-active one (75.7 ± 24.7 vs. 66.7 ± 23.0): this difference is quite relevant, even if it does not reach the statistical significance.

Similar scores were obtained in the two groups for the remaining QoL domains: the physical functioning was 81.7 ± 22.3 vs. 84.9 ± 14.1; the emotional functioning was 79.4 ± 20.3 vs. 74.8 ± 17.9; the social functioning was 69.8 ± 11.9 vs. 72.3 ± 16.9; the burden of treatment was 53.5 ± 17.4 vs. 69.4 ± 26.4; the respiratory function was 73.4 ± 22.2 vs. 87.8 ± 5.1, in the active and in the less-active group, respectively

A moderate correlation was observed between 1RM arms and ISWD, r=0.46, p=0.006, whilst a mild correlation was found between the ISWD and respiratory functions, r=0.37, p=0.03 (Table 4).

  Variable Correlation coefficient r p
ISWD FEV1 0.37 0.03
FEV1 %pred -0.05 n.s.
1RM arms 0.46 0.006
1RM legs 0.40 0.02

Table 4: Correlation between ISWD and pulmonary function in CF subjects.

Discussion

Few studies have examined the role that PA may play in determining subjects’ exercise tolerance in adolescents with CF. While exercise training has been recommended for inclusion in CF routine therapy, issues such as the burden of disease and inadequate adherence have made it a challenge to incorporate into a treatment programme. For these reasons, PA remains underutilized and not always incorporated into routine CF management [8] despite it is recommended as part of the treatment regimen CF although objective methods have been scarcely used to monitor achievement of PA guidelines [10].

The available data on the relationship between habitual PA and measures of physical fitness is somewhat controversial. Nixon et al. [9] found no correlation between the reported time spent in vigorous activities and maximal oxygen uptake (V’O2peak) in 30 subjects aged 7-19 years. Schneidermann et al. [5] found no significant association between V’O2peak and habitual PA. Controversially another author speculated that PA could be a significant, although relatively weak, predictor of V’O2peak in CF [8]. The positive relationship between PA levels and aerobic fitness is supported by a recent study by Savi et al. [22]. Our results do not add more knowledge to published data. In fact we found that physical performance tend to be higher in the more active adolescents with CF, even if the difference between active and less-active group did not reach the statistically significance.

Regarding strength, previous studies looking the relationship between peripheral muscle strength and PA are limited. Selvadurai et al. [23] stated that despite normal lung function and good nutritional status, female athletes with CF had significantly lower anaerobic power and leg strength than healthy subjects supporting the hypothesis that strength seems to be reduced for intrinsic skeletal muscle defects and not for PA habits. Muscle strength is an important factor to consider when investigating exercise tolerance, and physical inactivity is probably the major contributor of peripheral muscle abnormalities in subjects with CF with mild-to-moderate phenotypes. However, the relative influence of additional factors (e.g. inflammation, metabolic abnormalities) probably increases with disease severity making specific and individualized interventions necessary in severe subjects.

Most of the studies examined only leg muscle strength [23-25]. In our study a moderate correlation was find between upper limb strength and ISWT. We found only a study that detected a reduced arm work capacity in CF but only in subjects with severe pulmonary impairment [26]. The role of arm strength on exercise performance should be further investigate to understand if upper limb strength could influence walking distance like in COPD [27].

In published studies, changes in reported PA were directly related to changes QoL scores. Hebestreit et al. [28] showed that in CF subjects V’O2peak correlate positively with QOL. Cox et al. [4] reported higher scores in QoL by adult subjects with CF who performed ≥ 30 minutes of moderate-vigorous PA daily compared to those who performed <30 minutes daily. In a cross-sectional study on children with CF, PA was found to correlate quite strongly with QOL [7]. In our study we found a 9-points higher body image perception in the more active group, even if no statistical significance were detected in difference of QOL scores between groups previous studies reported similar results [29]. Hommerding et al. [30] found no significant improvement in QoL domains after an education intervention of PA for children and adolescents with CF. Another study reported that QoL was associated with physical fitness and to a lesser extent with reported PA [28]. We can speculate that participation in PA could not directly increase QOL perception, but might improve subjects’ self-esteem and consequently their adherence to exercise programs.

Limitations

First, the questionnaire used in this study was the HAES, the one with the most available data in literature. It currently represents an informed choice to measure physical activity via questionnaire and it could be useful to screen PA levels and generate discussion on PA patterns. A recent position statement suggested that questionnaires should not be used as primary outcome measures without fully assessing their clinometric properties [30]. In fact, assessing PA in adolescents using self- or parent-administered questionnaires has many limitations: they find it especially difficult to describe or quantify their PA levels and there is the risk for over reporting active habits. Accelerometers could provide minute-by-minute recording of PA and could therefore be used to objective quantify PA [7,28].

There is a need for longer and objective monitoring PA and the use of intensity cut- points to obtain information on usual PA levels in adolescents with CF (including the comparison of weekend vs. weekday activity behaviour) and on how well these subjects comply with current guidelines.

Second, the criteria used to separate the participants into the active and less-active group are somewhat arbitrary.

Third, ISWT is not the gold standard in determining exercise tolerance and only laboratory tests could detect factors limiting exercise capacity. It is very likely that an active lifestyle is beneficial for higher exercise capacity values, however it cannot be excluded that better V’O2 max also influences PA traducing into positive attitudes towards exercise participation [3,28]. Thus, one of the limitation recognised in this study is the limited sample size, however, in a specific cohort such as this, recruiting large number in few months can be difficult. In addition, our findings may be limited to some extent by the fact that the study participants were not randomly selected and therefore the study population might be considered as a convenience sample.

Conclusions

This is the first multicentre study to provide information toward PA attitude in Italian CF adolescent population. PA is an important factor in growth and development of children, and maintaining high levels of PA is important in the management of CF. Published data emphasize the importance of any intervention promoting positive attitudes toward exercise while increasing habitual PA in adolescent population. The present study showed that exercise tolerance and levels of PA measured by HAES were not related in Italian adolescents, but the results were difficult to interpret because of intrinsic limitations of the study.

Further studies are needed to find an agreement on the optimal methods of reporting objective PA data and cut-offs for categorising PA intensity in Italian adolescents with CF.

References

Citation: Cazzarolli C, Tridello G, Tartali C, Meneghelli I, Ciciretti MA, et al. (2017) Physical Activity Levels and Performance in Italian Adolescents with Cystic Fibrosis: A Multicenter Cross-sectional Study. J Pulm Respir Med 7: 430. Doi: 10.4172/2161-105X.1000430

Copyright: © 2017 Cazzarolli C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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