Skip to main content
Health and Quality of Life Outcomes logoLink to Health and Quality of Life Outcomes
. 2013 Nov 5;11:190. doi: 10.1186/1477-7525-11-190

Daily activities and health-related quality of life in patients with chronic obstructive pulmonary disease: psychological determinants: a cross-sectional study

Saskia WM Weldam 1,, Jan-Willem J Lammers 1, Rogier L Decates 1, Marieke J Schuurmans 2
PMCID: PMC4228311  PMID: 24192270

Abstract

Background

Chronic obstructive pulmonary disease (COPD) patients are confronted with reduced daily activities (DA) and reduced health-related quality of life (HRQoL) caused by dyspnea and systemic effects such as skeletal muscle dysfunction and co-morbidities. To understand the complexity of living with COPD, it is important to understand which factors, in addition to physical functioning, are associated with DA and HRQoL. In this study, we explored the extent to which the combination of illness perceptions, proactive coping, and depressive symptoms contribute to DA and HRQoL in COPD patients.

Method

In a cross-sectional study in primary care, 90 COPD patients (GOLD I-III) completed questionnaires: the Brief Illness Perception Questionnaire, the Utrecht Proactive Coping Competence scale, the Centers for Epidemiologic Studies Depression scale, the Medical Research Council dyspnea scale, the Functional Performance Inventory (FPI), and the Clinical COPD Questionnaire (CCQ). The analyses were performed with multiple linear regression analyses.

Results

More adequate and positive illness perceptions (β = .61, p < .001) and less depressive symptoms (β = .21, p = .010) were associated with better HRQoL (CCQ). Significant relations between psychological factors and DA were not found.

Conclusion

The results of this study demonstrate that psychological factors are related to HRQoL, but not to DA. These results contribute to understanding the complexity of living with COPD and provide starting points for the development of interventions focusing on psychological factors to support COPD patients in disease management.

Keywords: Daily Activities (DA), COPD, Chronic obstructive pulmonary disease, Depressive symptoms, Functional performance, Illness perceptions, Proactive coping, Health-related quality of life

Background

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality in the world [1]. The prevalence of the social and economic burden that results from this illness continues to increase [1,2]. Previous research on COPD has shown that COPD patients are confronted with daily life limitations, reduced daily activities (DA), and reduced health-related quality of life (HRQoL) caused by complaints such as dyspnea, skeletal muscle dysfunction, and co-morbidities [2-7].

In the last decade, in the Netherlands and in many other countries, care for patients with COPD has increasingly moved from hospitals to primary care [8]. According to the COPD guidelines in the Netherlands, general practitioners and practice nurses play a key role in care for COPD patients in primary care [9]. Education and counseling are the most important tasks of practice nurses. These nurses have become essential in the integrated care for COPD patients in the Netherlands [8]. Although research is being conducted among COPD populations in primary care [10-12], much of the research on COPD patients is conducted in hospital-based populations.

To understand the complexity of living with COPD, it is important to understand which factors, in addition to physical functioning and complaints, are associated with DA and HRQoL [13,14]. Psychological factors, such as illness perceptions, depressive symptoms, and ability to cope with the illness, may complicate living with COPD and participation in everyday activities [15-18].

According to the Common Sense Model by Leventhal [19], patients’ beliefs and perceptions about illness guide individuals’ efforts to cope with illness. Studies of the rehabilitation of COPD patients [20] and patients who attended outpatient clinics [21] show that COPD patients with positive beliefs about the impact of their disease on daily life and those with more positive thoughts about the effect of their treatment have a better HRQoL than patients who have more negative perceptions. Concerns about COPD are negatively related to walking test results [22] and general functioning [23]. Although research is being conducted among COPD populations in primary care [11,12,24], knowledge of the associations among illness perceptions, HRQoL, and DA in COPD patients in primary care is scarce.

To adjust to life with COPD and to prevent further physical deterioration, it is important that patients participate in everyday activities and physical exercises and that they anticipate potential threats [25]. In this respect, proactive coping, which refers to efforts undertaken to prevent or modify a potential threat to a person’s health, may play an important role [26,27]. Some studies show that people who have the ability to anticipate and address potential threats to their health have better outcomes in goal achievement and general health behavior [27,28]. However, proactive coping has not been studied in COPD patients.

Furthermore, multiple studies covering a variety of medical settings have shown that depressive symptoms are prevalent among COPD patients and that these symptoms are related to inactivity and lower HRQoL [29-31]. Prevalence estimates of depressive symptoms vary (10%-42%) due to the use of varied measurement tools [30,31]. A meta-analysis revealed that the prevalence of depressive symptoms was two times higher in COPD patients than in healthy controls [31].

In this cross-sectional study, we will explore the extent to which the combination of these psychological factors (illness perceptions, proactive coping, and depressive symptoms) contribute to DA and HRQoL in COPD patients in primary care. We hypothesize that positive illness perceptions (i.e., positive beliefs about the effects of the illness on daily life), adaptive proactive coping competencies, and low levels of depressive symptoms are associated with better DA and better HRQoL in COPD patients.

Method

Study design and participants

This cross-sectional study was conducted in primary care settings in the Netherlands. COPD patients from ten general practices throughout the Netherlands who regularly visited the consulting hours of the practice nurses were asked to participate. To be eligible for inclusion, patients had to be diagnosed with COPD GOLD grades I, II, or III [25] and be physically and mentally able to complete the questionnaires. The patients were excluded if they participated in another study or if they had COPD GOLD grade IV or a primary diagnosis of asthma. The study was approved by the Medical Ethical Committee of the University Hospital Utrecht (UMC Utrecht), and all participants provided written informed consent.

Procedure

Practice nurses working in the participating general practices included the COPD patients who visited their consulting hours. After providing written informed consent, the participating patients completed the questionnaires at home and returned them to our center. Data were collected from June 2010 to April 2011.

Measures

Illness perceptions

The Brief Illness Perception Questionnaire (B-IPQ) [32] was used to assess illness perceptions concerning consequences, timeline, personal control, treatment control, identity, concern, understanding, emotional representations, and causal representations. The B-IPQ is a self-administered scale consisting of nine items (range: 0–10). To assess the degree to which COPD is perceived as threatening or benign, an overall summary score was computed. Three items (personal control, treatment control, and understanding) were reversed and added to the other items. A higher score reflects a more threatening view of COPD. A lower score reflects a more positive and adaptive view of COPD.

Proactive coping

The Utrecht Proactive Coping Competence questionnaire (UPCC) [33] was used to assess individuals’ competency with regard to the various skills associated with proactive coping. The questionnaire is self-administered and consists of 21 items that together form one factor. The response options range from 1 (“not competent”) to 4 (“very competent”). A higher score reflects more proactive coping competencies.

Depressive symptoms

The Centers for Epidemiologic Studies Depression Scale (CES-D scale) [34] was used to assess depressive symptoms. The CES-D scale was not developed to diagnose depression; rather, it aims to identify depressive symptoms. It is a self-administered questionnaire consisting of 20 items related to situations during the previous week. The response options range from 0 (“seldom”) to 3 (“mostly/always”). High scores indicate more depressive symptoms.

Dyspnea

The Medical Research Council (MRC) scale [35] was used to assess dyspnea. Dyspnea was rated by the patient with five increasing scores with option ranges from 0 (“not breathless except for exertion”) to 4 (“too breathless to leave house or breathless when dressing or undressing”).

Daily activities

Daily activities (DA) were measured by the Functional Performance Inventory (FPI) [36]. This self-administered questionnaire measures the extent to which people engage in their usual day-to-day activities. The FPI consists of 65 items and has six subscales: body care (9 items), household maintenance (21 items), physical exercise (7 items), recreation (11 items), spiritual activities (5 items), and social activities (12 items). Response options range from 1 (“the activity can be performed easily, with no difficulty at all”) to 4 (“the activity is no longer performed for health reasons”) with an option to answer “the activity is not performed for reasons other than health”. In the total score, the items are recoded to indicate that high scores represent high performance.

Quality of life

The Clinical COPD Questionnaire (CCQ) was used to measure HRQoL [37]. The CCQ is a self-administered questionnaire and consists of ten questions covering three domains: functional state, symptoms, and mental state. Response options range from 0 (“no limitations/asymptomatic”) to 6 (“totally limited/extremely symptomatic”).

Data were collected on height and weight (according to the local general practitioner registry), and BMI was calculated as weight (kg)/height (m) squared. Data on pulmonary function (FEV1 in liters, FEV1% predicted, FVC in liters, and FEV1/FVC ratio), co-morbidities (Charlson co-morbidity Index) [38], and demographic variables (age, gender, illness duration, medication, education level, working status, smoking status, and marital status) were also collected.

Analyses

Descriptive statistics (frequencies, mean, and standard deviation) were used to present patients’ background and medical characteristics. Linear regression analyses (adjusted for the confounders age, gender, dyspnea, FEV1, smoking status, and co-morbidity) were applied to quantify the associations between illness perceptions, proactive coping, and depressive symptoms, on the one hand, and DA and QoL, on the other hand. First, a crude model was developed with the separate psychological determinants (illness perceptions, proactive coping, and depressive symptoms) (model 1). In the second model (model 2), the three psychological variables were combined in one model and corrected for the confounders age and gender. The third model (model 3) was additionally adjusted for dyspnea, FEV1, smoking status, and co-morbidity. In the regression models, the standardized βs were used to compare the strength of the various independent variables. The explained variance per model was analyzed. Because the amount of missing data was only 3%, a complete case analysis was performed. All analyses were performed with Statistical Package for the Social Sciences (SPSS 20.0 for Windows).

Results

Study sample

Sample characteristics are presented in Table 1. A total of 98 patients completed the questionnaires. In the analyses, eight patients were excluded because they appeared to have GOLD stage 0 with an FEV1/FVC ratio >70%. Most patients had GOLD grade II (n = 60, 67%). Of the patients in this study, 46% were women, and mean age of the sample was 65 (SD 9.0). Most of the patients had a medium educational level (n = 56; 62%), and approximately half of the patients were retired (51%). Of the non-retired population (n = 44), 45% (n = 20) had a full-time job.

Table 1.

Patient characteristics

Variables Total population (N = 90)
Gender
 
 
Male
49 (54.4%)
 
Female
41 (45.6%)
Age, years
 
 
Mean
65.19 (SD 9.0)
 
≤ 50
5 (5.6%)
 
51–60
26 (28.9%)
 
61–70
31 (34.4%)
 
71–80
23 (25.6%)
 
> 80
5 (5.6%)
Years diagnosed with COPD
8.13 (SD8.11)
Disease severity
 
GOLDa I
18 (20.0%)
 
GOLDa II
60 (66.7%)
 
GOLDa III
12 (13.3%)
 
FEV1 mean
1.86 (1.02-3.70) (SD .59)
 
FEV1% pred
67.0 (36.54-101.22) (SD 14.4)
Education level b
 
 
Low
13 (14.4%)
 
Medium
56 (62.3%)
 
High
21 (23.3%)
Retired
46 (51.1%)
Paid work
20 (2.2%)
Marital status
 
 
Married
59 (65.6%)
 
Widowed
8 (8.9%)
 
Divorced
8 (8.9%)
 
Single
15 (16.7%)
Smoking status
 
 
Current smoker
36 (40.0%)
 
Former smoker
49 (54.4%)
 
Never smoked
5 (5.6%)
Medication use
82 (91.1%)
Polypharmacy c
28 (31.1%)
Charlson comorbidity index >1 28 (31.1%)

aGlobal Initiative for Chronic Obstructive Lung Disease.

bCategories are based on the International Standard Classification of Education (ISCED).

cDefined by using five or more different types of medication.

The means, standard deviations, range of illness perceptions, proactive coping, depressive symptoms, dyspnea, FEV1, DA, and HRQoL are presented in Table 2.

Table 2.

Means, standard deviations, range of illness perceptions (B-IPQ), proactive coping (UPCC), depressive symptoms (CES-D), dyspnea (MRC-dyspnea), FEV 1 , daily activities (FPI), and health-related quality of life (CCQ) (N = 88–90)

  Mean (SD) Range Ref Range
1. B-IPQ
33.21(11.3)
10 – 68
0 – 100
2. UPCC
3.0 (0.4)
1.9 – 4.0
1.0 – 4.0
3. CES-D
10.2 (7.4)
0 – 42
0 – 60
4. MRC–dyspnea
1.7 (1.0)
0 – 5
0 – 6
5. FEV1 (liters)
1.86 (0.59)
1.0 – 3.7
 
6. FEV% pred
67.0 (14.4)
36.54 – 101.22
 
7. FPI
1.80 (0.4)
1.0 – 2.9
1 – 3
8. CCQ 1.4 (0.8) 0.0 – 3.8 0 – 6

B–IPQ = Brief Illness Perception Questionnaire, UPCC = Utrecht Proactive Coping Competence scale, CES–D = Centers for Epidemiologic Studies Depression scale, MRC dyspnea = Medical Research Council dyspnea scale,

FEV1 = Forced Expiratory Volume in one second, FEV% pred = Forced Expiratory Volume Percentage from predicted, FPI = functional Performance Inventory, CCQ– = Clinical COPD Questionnaire.

The average on the FPI scale was 1.8 (range: 1.0–2.9, reference range 1–3), indicating intermediate levels of DA [36]. The average on the CCQ was 1.4 (range: 0–3.8, reference range 0–6), meaning that the HRQoL was good, on average [37].

The mean of illness perceptions was 33.2 (range: 10–68, reference range 0–100), indicating that the patients had, on average, a more positive and adequate perception of their COPD [32]. The mean of proactive coping was 3.0 (range: 1.8–4.0, reference range 1.0–4.0), which is similar to healthy adults [33]. The mean of depressive symptoms was 10.2 (range: 0–42, reference range 0–60). Twenty patients had a score >16, indicating that 22.2% of the patients studied were possible cases of depression (three patients with GOLD grade I, 15 with GOLD grade II, and two patients with GOLD grade III) [34].

Regression analyses

Daily activities

As shown in Table 3, in the univariate models (model 1), illness perceptions (β = -.25) and depressive symptoms (β = -.21) were associated with DA measured by the Functional Performance Inventory. Proactive coping was not associated with DA. In model 2, where the psychological determinants illness perceptions, proactive coping, and depressive symptoms were combined and corrected for the confounders age and gender, only illness perceptions (β = -.22) and age (β = -.25) were associated with DA. In the third model, the combination of the psychological determinants illness perceptions, proactive coping, and depressive symptoms were corrected for the confounders age, gender, dyspnea, FEV1, smoking status, and co-morbidity. The psychological determinants were not associated with DA. Only age (β = -.21) and dyspnea (β = -.29) were significantly associated with DA (Table 3).

Table 3.

Regression model of illness perceptions (B-IPQ), proactive coping (UPCC), and depressive symptoms (CES-D) and the dependent variable daily activities (FPI) (N = 87)

 
Model 1 (Block 1) univariate
Model 2 (Block 1 and 2)
Model 3 (Block 1, 2, 3)
  R2 β 95% CI R2 β 95% CI R2 β 95% CI
Block 1
 
 
 
.15
 
 
.24
 
 
B-IPQ
.06
-.25*
-.02 - .00
 
-.22*
-.02 - .00
 
-.11
-.01 - .00
UPCC
.03
.182
-.03 - .36
 
.04
-.17 - .24
 
.00
-.20 - .21
CES-D
.05
-.21*
-.02 - .00
 
-.11
-.02 - .01
 
-.09
-.02 - .01
Block 2
 
 
 
 
 
 
 
 
 
Age
 
 
 
 
-.25*
-.02 - .00
 
-.21*
-.02 - .00
Gender
 
 
 
 
-.03
-.19 - .14
 
.00
-.16 - .17
Block 3
 
 
 
 
 
 
 
 
 
MRC dyspnea
 
 
 
 
 
 
 
.29**
-.20 - -.03
Fev1
 
 
 
 
 
 
 
.12
-.00 - .01
Smoking status
 
 
 
 
 
 
 
.02
-.15 - .18
Co-morbidities               -.06 -.22 - .13

* P ≤ 0.05 ** P ≤ 0.01.

Model 1: Crude model (univariate) separate: Illness perceptions (B-IPQ), Proactive coping (UPCC), Depressive symptoms (CES-D).

Model 2: B-IPQ, UPCC and CES-D corrected for confounders age and gender.

Model 3: B-IPQ, UPCC and CES-D additionally adjusted for dyspnea, FEV1, smoking status, and co-morbidities.

Quality of life

As shown in Table 4, illness perceptions (β = .61) and depressive symptoms (β = .21) were associated with HRQoL (CCQ) in the univariate models (model 1), in model 2 (the combination of illness perceptions, proactive coping, and depressive symptoms, corrected for the confounders age and gender), and in model 3, which is corrected for age, gender, dyspnea, FEV1, smoking status, and co-morbidity. Thus, COPD patients with a more positive view of their illness and fewer depressive symptoms had a better HRQoL. Illness perceptions and depressive symptoms together with dyspnea explained 60% of the variance in HRQoL. Proactive coping was not associated with HRQoL.

Table 4.

Regression model of illness perceptions (B-IPQ), proactive coping (UPCC), and depressive symptoms (CES-D) and the dependent variable health-related quality of life (CCQ) (N = 87)

 
Model 1 (Block 1) univariate
Model 2 (Block 1 and 2)
Model 3 (Block 1, 2, 3)
  R2 β 95% CI R2 β 95% CI R2 β 95% CI
Block 1
 
 
 
.55
 
 
.60
 
 
B-IPQ
.48
.69***
.04 - .06
 
.68***
.039 - .06
 
.61***
.03 - .06
UPCC
.04
-.20
-.80 - .03
 
.09
-.142 - .513
 
.12
-.08 - .55
CES-D
.10
.32**
.014 - .06
 
.22**
.008 - .049
 
.21**
.01 - .05
Block 2
 
 
 
 
 
 
 
 
 
Age
 
 
 
 
.01
-.013 - .015
 
-.00
.02 - .01
Gender
 
 
 
 
.03
-.205 - .311
 
-.01
-.26 - .25
Block 3
 
 
 
 
 
 
 
 
 
MRC dyspnea
 
 
 
 
 
 
 
.26***
.09 - .35
Fev1
 
 
 
 
 
 
 
-.03
-.01 - .01
Smoking status
 
 
 
 
 
 
 
-.00
.27 - .25
Co-morbidities               -.04 -.35 - .19

** P ≤ 0.01 ***P ≤ 0.001.

Model 1: Crude model (univariate) separate: Illness perceptions (B-IPQ), Proactive coping (UPCC), Depressive symptoms (CES-D).

Model 2: B-IPQ, UPCC and CES-D corrected for confounders age and gender.

Model 3: B-IPQ, UPCC and CES-D additionally adjusted for dyspnea, FEV1, smoking status, and co-morbidities.

Discussion

This study indicates that in COPD patients in primary care, psychological factors contribute to HRQoL. More positive perceptions about COPD and lower levels of depressive symptoms were associated with better HRQoL. Significant relations between psychological factors and DA (measured by FPI) were not found.

To appreciate the findings of this study, some limitations need to be considered. First, the cross-sectional nature of our study prohibits conclusions on causal relationships. Longitudinal data will facilitate the explanation of the relationships among psychological determinants, DA, and HRQoL in more detail. Second, the βs in the regression models were small, indicating small clinical changes per unit change.

Third, although our sample size was adequate given the research question, it did not allow us to conduct subgroup analyses per GOLD grade. Therefore, we could not describe the associations in the different stages of COPD.

The strength of the present study is its generalizability. In our study population, 60% of the patients had GOLD grade II, indicating mild to moderate COPD, which is in line with the population of COPD patients in primary care [8]. Moreover, we did not exclude patients with co-morbidities. Therefore, our study population is representative of the primary care population.

The multivariate approach (i.e., including the combination of different types of psychological factors) to explain the complexity of living with COPD represents another strength of this study.

The findings of our study are in accordance with results from previous studies concerning illness perceptions in COPD patients. Scharloo et al. [21] demonstrated that COPD patients with more positive beliefs about the effect and outcomes of their illness and with fewer strong emotional reactions to the illness had higher HRQoL scores. In a study by Fischer et al. [22], COPD patients’ beliefs about the effectiveness of medical (pharmacological) treatment in COPD were shown to be related to better outcomes in COPD.

Whereas in other patient groups, such as patients with diabetes, proactive coping has been related to better outcomes in health behavior [27,33], we could not confirm the hypothesis that COPD patients with proactive competencies have better DA and HRQoL. Possible explanations may include our relatively small sample and the mild COPD population we studied. It is unknown what this association is for COPD patients with GOLD grade III and IV, who have more potential threats to their health.

In this study, 22.2% of the patients had depressive symptoms, which is comparable to the prevalence of depressive symptoms (24.6%) in a meta-analysis study by Zhang [31]. However, contrary to other studies [39,40], daily activities were not associated with depressive symptoms in our study. This finding may partially be explained by the use of other DA and dyspnea measurement tools. Nevertheless, in line with other studies [13,41], depressive symptoms were associated with HRQoL.

The finding of our study that dyspnea contributes to HRQoL is comparable to other studies regarding the association between dyspnea and HRQoL [41-43]. Moreover, our study revealed that 60% of the variance in HRQoL was explained by the combination of illness perceptions, depressive symptoms, and dyspnea.

Although the level of daily activities of COPD patients in this study (1.80) was in line with levels of activity in other studies using the FPI in COPD patients (2.2 in a study by Kapella [44] and 1.87 in study by Wall [39]), in contrast to our hypothesis, we did not find associations between psychological factors and DA. This finding is in contrast to the results from previous studies concerning relationships between psychological factors and DA [45-47]. This finding could be explained by the use of different measurement tools for DA. Fischer et al. [20] used walking test results as the outcome parameter, in contrast to our study, which used the FPI questionnaire. A possible explanation is that a walking test measures the physical capacity or ability to participate in day-to-day activities [48,49], whereas the functional performance inventory measures self-reported activities in daily life [36].

In other studies concerning factors affecting health status [40,45], other DA measurement tools (Saint George’s Respiratory Questionnaire and the Pulmonary Functional Status Tool) were used. Obviously, other factors are likely to influence the activities people choose to perform on a daily basis, such as environmental factors, medical history, and other personal characteristics [44]. In our study, dyspnea was significantly associated with DA, which is in line with results from other studies [50,51].

Conclusions and implications

The results of this study indicate that in COPD patients, the combination of illness perceptions and depressive symptoms contribute to HRQoL. More positive illness perceptions about COPD and lower levels of depressive symptoms were associated with better HRQoL. This study contributes to the understanding of the complexity of living with COPD.

Although small βs in the regression models indicate a small clinical contribution, these results provide starting points for the development of interventions focusing on psychological concepts to support COPD patients in their daily life and disease management. Patients’ perceptions of COPD, depressive symptoms, and dyspnea should be explored (e.g., with questionnaires), discussed with the patient, and, if necessary, corrected at an early stage. Positive (realistic) beliefs should be stimulated, and negative beliefs should be prevented or challenged [52-54]. Depressive symptoms and dyspnea should also be identified and treated properly. These approaches may result in better HRQoL in COPD patients. However, because interventions focusing on these psychological concepts have only recently been described in patients with other chronic diseases [55-57], it is important to develop and test the effectiveness of these interventions for COPD patients.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

SW contributed to the study concept and design, data collection, data analysis, and writing of the manuscript and takes full responsibility for the integrity of the data and the accuracy of the data analysis. JL contributed to the study concept and design, providing input on the data analysis, reviewing, and final editing of the manuscript. RD contributed to data analysis and editing of the manuscript. MS contributed to the study concept and design, providing input on the data analysis, reviewing, and final editing of the manuscript. All authors read and approved the final manuscript.

Authors’ information

SW is a researcher and a nurse in the Heart & Lungs Division at the University Medical Center Utrecht. As a clinical nurse specialist in lung diseases, she has extensive experience in the care and guidance of COPD patients. She is working on her PhD research project. The aim of this project is to develop and test a feasible intervention for COPD patients to be applied by practice nurses in a primary care setting. This nursing intervention is being evaluated in a cluster randomized trial (started spring 2013). In previous projects, she has gained experience with developing interventions to improve self-management and decrease functional decline.

JWL is a pulmonologist and head of the Department of Respiratory Medicine of the University Medical Center Utrecht. Among other clinical and preclinical studies on COPD, including the TiPharma projects on COPD and the COPACETIC study, a KP7 project, he has been involved in studies about patient adherence, illness perceptions, and medication adherence in patients with pulmonary diseases.

RD is a medical doctor working in the field of respiratory medicine. He has a special interest in patient adherence and illness perceptions in COPD patients.

MS is a researcher, a nurse, an appointed professor in Nursing Science at the University Medical Center Utrecht, and a professor of care for older people at the University of Applied Sciences in Utrecht. Her research focuses on the daily functioning of older people with multi-morbidity.

Contributor Information

Saskia WM Weldam, Email: S.Weldam@umcutrecht.nl.

Jan-Willem J Lammers, Email: J.W.J.Lammers@umcutrecht.nl.

Rogier L Decates, Email: R.L.Decates@gmail.com.

Marieke J Schuurmans, Email: M.J.Schuurmans@umcutrecht.nl.

Acknowledgements

The authors thank P Zanen MD, PhD (Respiratory Department, University Medical Center Utrecht) for his valuable input on the data analysis.

The authors thank Prof YT van der Schouw PhD (Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht) for her valuable input on the data analysis and manuscript writing.

References

  1. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY, AlMazroa MA, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Barker-Collo S, Bartels DH, Bell ML, Benjamin EJ, Bennett D, Bhalla K, Bikbov B, Abdulhak AB, Birbeck G, Blyth F, Bolliger I, Boufous S, Bucello C. et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2095–2128. doi: 10.1016/S0140-6736(12)61728-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Decramer M, Sibille Y, Bush A, Carlsen K, Rabe KF, Clancy L, Turnbull A, Nemery B, Simonds A, Troosters T. The European Union conference on chronic respiratory disease: purpose and conclusions. Eur Respir J. 2011;37(4):738–742. doi: 10.1183/09031936.00020211. [DOI] [PubMed] [Google Scholar]
  3. Pitta F, Troosters T, Spruit MA, Probst VS, Decramer M, Gosselink R. Characteristics of physical activities in daily life in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2005;171(9):972–977. doi: 10.1164/rccm.200407-855OC. [DOI] [PubMed] [Google Scholar]
  4. Jones PW. Activity limitation and quality of life in COPD. COPD. 2007;4(3):273–278. doi: 10.1080/15412550701480265. [DOI] [PubMed] [Google Scholar]
  5. Bossenbroek L, De Greef MHG, Wempe JB, Krijnen WP, ten Hacken NHT. Daily physical activity in patients with chronic obstructive pulmonary disease: a systematic review. COPD. 2011;8(4):306–319. doi: 10.3109/15412555.2011.578601. [DOI] [PubMed] [Google Scholar]
  6. Vorrink SN, Kort HS, Troosters T, Lammers JW. Level of daily physical activity in individuals with COPD compared with healthy controls. Respir Res. 2011;12:33. doi: 10.1186/1465-9921-12-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Van Den Borst B, Slot IGM, Hellwig VACV, Vosse BAH, Kelders MCJM, Barreiro E, Schols AMWJ, Gosker HR. Loss of quadriceps muscle oxidative phenotype and decreased endurance in patients with mild-to-moderate COPD. J Appl Physiol. 2013;114(9):1319–1328. doi: 10.1152/japplphysiol.00508.2012. [DOI] [PubMed] [Google Scholar]
  8. Schermer T, van Weel C, Barten F, Buffels J, Chavannes N, Kardas P, Ostrem A, Schneider A, Yaman H. Prevention and management of chronic obstructive pulmonary disease (COPD) in primary care: position paper of the European Forum for Primary Care. Qual Prim Care. 2008;16(5):363–377. [PubMed] [Google Scholar]
  9. Smeele I, van Weel C, Van Schayck CP, van der Molen T, Thoonen BP, Schermer T, Sachs APE, Muris JWM, Chavannes N, Kolnaar BGM, Grol MH, Geijer RMN. NHG Standaard COPD. Huisarts Wet. 2007;50(8):362–379. [Google Scholar]
  10. Kruis AL, Chavannes NH. Potential benefits of integrated COPD management in primary care. Monaldi arch chest dis. 2010;73(3):130–134. doi: 10.4081/monaldi.2010.297. [DOI] [PubMed] [Google Scholar]
  11. Zakrisson AB, Engfeldt P, Hagglund D, Odencrants S, Hasselgren M, Arne M, Theander K. Nurse-led multidisciplinary programme for patients with COPD in primary health care: a controlled trial. Prim Care Respir J. 2011;20(4):427–433. doi: 10.4104/pcrj.2011.00060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Uijen AA, Bischoff EW, Schellevis FG, Bor HH, van den Bosch WJ, Schers HJ. Continuity in different care modes and its relationship to quality of life: a randomised controlled trial in patients with COPD. Br J Gen Pract. 2012;62(599):e422–428. doi: 10.3399/bjgp12X649115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bentsen SB, Henriksen AH, Wentzel-Larsen T, Hanestad BR, Wahl AK. What determines subjective health status in patients with chronic obstructive pulmonary disease: importance of symptoms in subjective health status of COPD patients. Health Qual Life Outcomes. 2008;6:115. doi: 10.1186/1477-7525-6-115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Arne M, Lundin F, Boman G, Janson C, Janson S, Emtner M. Factors associated with good self-rated health and quality of life in subjects with self-reported COPD. Int J Chron Obstruct Pulmon Dis. 2011;6:511–519. doi: 10.2147/COPD.S24230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Disler RT, Gallagher RD, Davidson PM. Factors influencing self-management in chronic obstructive pulmonary disease: an integrative review. Int J Nurs Stud. 2012;49(2):230–242. doi: 10.1016/j.ijnurstu.2011.11.005. [DOI] [PubMed] [Google Scholar]
  16. de Ridder D, Geenen R, Kuijer R, van Middendorp H. Psychological adjustment to chronic disease. Lancet. 2008;372(9634):246–255. doi: 10.1016/S0140-6736(08)61078-8. [DOI] [PubMed] [Google Scholar]
  17. Hynninen KMJ, Breitve MH, Wiborg AB, Pallesen S, Nordhus IH. Psychological characteristics of patients with chronic obstructive pulmonary disease: a review. J Psychosom Res. 2005;59(6):429–443. doi: 10.1016/j.jpsychores.2005.04.007. [DOI] [PubMed] [Google Scholar]
  18. McCathie HCF, Spence SH, Tate RL. Adjustment to chronic obstructive pulmonary disease: the importance of psychological factors. Eur Respir J. 2002;19(1):47–53. doi: 10.1183/09031936.02.00240702. [DOI] [PubMed] [Google Scholar]
  19. Leventhal HL, Brissette I, Leventhal EA. In: The Self-regulation of health and illness behaviour. Cameron LD Leventhal H, editor. London: Routledge; 2003. Common-sense model of self-regulation of health and illness; pp. 42–65. [Google Scholar]
  20. Fischer MJ, Scharloo M, Abbink JJ, Van T, Hul AJ, Van Ranst D, Rudolphus A, Weinman J, Rabe KF, Kaptein AA. Drop-out and attendance in pulmonary rehabilitation: the role of clinical and psychosocial variables. Respir Med. 2009;103(10):1564–1571. doi: 10.1016/j.rmed.2008.11.020. [DOI] [PubMed] [Google Scholar]
  21. Scharloo Margreet K, Adrian S, Maryanne P, Harry B, Elisabeth R, Klaus W, Emiel FM. Illness perceptions and quality of life in patients with chronic obstructive pulmonary disease. J asthma. 2007;44(7):575–581. doi: 10.1080/02770900701537438. [DOI] [PubMed] [Google Scholar]
  22. Fischer MJ, Scharloo M, Abbink J, Van T, Hul A, Van Ranst D, Rudolphus A, Weinman J, Rabe KF, Kaptein AA. Concerns about exercise are related to walk test results in pulmonary rehabilitation for patients with COPD. Int J Behav Med. 2012;19:39–47. doi: 10.1007/s12529-010-9130-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Scharloo M, Kaptein AA, Weinman J, Hazes JM, Willems LN, Bergman W, Rooijmans HG. Illness perceptions, coping and functioning in patients with rheumatoid arthritis, chronic obstructive pulmonary disease and psoriasis. J Psychosom Res. 1998;44(5):573–585. doi: 10.1016/s0022-3999(97)00254-7. [DOI] [PubMed] [Google Scholar]
  24. Kruis A, Boland M, Schoonvelde C, Assendelft W, Molken M, Gussekloo J, Tsiachristas A, Chavannes N. RECODE: design and baseline results of a cluster randomized trial on cost-effectiveness of integrated COPD management in primary care. BMC Pulm Med. 2013;13(1):17. doi: 10.1186/1471-2466-13-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. GOLD. for Chronic Obstructive Lung Disease (GOLD) 2013. http://www.goldcopd.com.
  26. Aspinwall LG, Taylor SE. A stitch in time: self-regulation and proactive coping. Psych Bull. 1997;121(3):417–436. doi: 10.1037/0033-2909.121.3.417. [DOI] [PubMed] [Google Scholar]
  27. Thoolen B, de Ridder D, Bensing J, Gorter K, Rutten G. Beyond good intentions: the development and evaluation of a proactive self-management course for patients recently diagnosed with type 2 diabetes. Health Educ Res. 2008;23(1):53–61. doi: 10.1093/her/cyl160. [DOI] [PubMed] [Google Scholar]
  28. Bode C, de Ridder DT, Kuijer RG, Bensing JM. Effects of an intervention promoting proactive coping competencies in middle and late adulthood. Gerontologist. 2007;47(1):42–51. doi: 10.1093/geront/47.1.42. [DOI] [PubMed] [Google Scholar]
  29. Kunik ME, Roundy K, Veazey C, Souchek J, Richardson P, Wray NP, Stanley MA. Surprisingly high prevalence of anxiety and depression in chronic breathing disorders. Chest. 2005;127(4):1205–1211. doi: 10.1378/chest.127.4.1205. [DOI] [PubMed] [Google Scholar]
  30. Maurer J, Rebbapragada V, Borson S, Goldstein R, Kunik ME, Yohannes AM, Hanania NA. ACCP Workshop Panel on Anxiety and Depression in COPD. Anxiety and depression in COPD: current understanding, unanswered questions, and research needs. Chest. 2008;134(4 Suppl):43S–56S. doi: 10.1378/chest.08-0342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Zhang MWB, Ho RCM, Cheung MWL, Fu E, Mak A. Prevalence of depressive symptoms in patients with chronic obstructive pulmonary disease: a systematic review, meta-analysis and meta-regression. Gen Hosp Psychiatry. 2011;33(3):217–223. doi: 10.1016/j.genhosppsych.2011.03.009. [DOI] [PubMed] [Google Scholar]
  32. Broadbent E, Petrie KJ, Main J, Weinman J. The brief illness perception questionnaire. J Psychosom Res. 2006;60(6):631–637. doi: 10.1016/j.jpsychores.2005.10.020. [DOI] [PubMed] [Google Scholar]
  33. Bode C, Thoolen B, Ridder De D. Measuring proactive coping. Psychometric characteristics of the Utrecht Proactive Coping Competence scale (UPCC) Psychol Gezondheid. 2008;36(2):81–91. [Google Scholar]
  34. Ensel W. In: Social Support, Life Events, and Depression. Lin N, Dean A, Ensel W, editor. Orlando, Florida: Academic Press, Inc; 1986. Measuring depression: the CES-D scale; pp. 51–70. [Google Scholar]
  35. Bestall JC, Paul EA, Garrod R, Garnham R, Jones PW, Wedzicha JA. Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease. Thorax. 1999;54(7):581–586. doi: 10.1136/thx.54.7.581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Leidy NK. Psychometric properties of the functional performance inventory in patients with chronic obstructive pulmonary disease. Nurs Res. 1999;48(1):20–28. doi: 10.1097/00006199-199901000-00004. [DOI] [PubMed] [Google Scholar]
  37. van der Molen T, Willemse B, Schokker S, ten Hacken N, Postma D, Juniper E. Development, validity and responsiveness of the clinical COPD questionnaire. Health Qual Life Outcomes. 2003;1(1):13. doi: 10.1186/1477-7525-1-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245–1251. doi: 10.1016/0895-4356(94)90129-5. [DOI] [PubMed] [Google Scholar]
  39. Wall MP. Predictors of functional performance in community-dwelling people with COPD. J Nurs Scholarsh. 2007;39(3):222–228. doi: 10.1111/j.1547-5069.2007.00172.x. [DOI] [PubMed] [Google Scholar]
  40. Weaver TE, Richmond TS, Narsavage GL. An explanatory model of functional status in chronic obstructive pulmonary disease. Nurs Res. 1997;46(1):26–31. doi: 10.1097/00006199-199701000-00005. [DOI] [PubMed] [Google Scholar]
  41. Moy ML, Reilly JJ, Ries AL, Mosenifar Z, Kaplan RM, Lew R, Garshick E. National Emphysema Treatment Trial Research Group. Multivariate models of determinants of health-related quality of life in severe chronic obstructive pulmonary disease. J Rehabil Res Dev. 2009;46(5):643–654. doi: 10.1682/JRRD.2008.09.0127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Jones P, Miravitlles M, van der Molen T, Kulich K. Beyond FEV(1) in COPD: a review of patient-reported outcomes and their measurement. Int J Chron Obstruct Pulmon Dis. 2012;7:697–709. doi: 10.2147/COPD.S32675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Tsiligianni I, Kocks J, Tzanakis N, Siafakas N, van der Molen T. Factors that influence disease-specific quality of life or health status in patients with COPD: a review and meta-analysis of Pearson correlations. Prim Care Respir J. 2011;20(3):257–268. doi: 10.4104/pcrj.2011.00029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Kapella MC, Larson JL, Covey MK, Alex CG. Functional performance in chronic obstructive pulmonary disease declines with time. Med Sci Sports Exerc. 2011;43(2):218–224. doi: 10.1249/MSS.0b013e3181eb6024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Hynninen MJ, Pallesen S, Nordhus IH. Factors affecting health status in COPD patients with co-morbid anxiety or depression. Int J Chron Obstruct Pulmon Dis. 2007;2(3):323–328. [PMC free article] [PubMed] [Google Scholar]
  46. Fischer M, Scharloo M, Abbink J, Van T, Hul A, Van Ranst D, Rudolphus A, Weinman J, Rabe K, Kaptein AA. The dynamics of illness perceptions: testing assumptions of Leventhal's common-sense model in a pulmonary rehabilitation setting. Br J Health Psychol. 2010;15(Pt 4):887–903. doi: 10.1348/135910710X492693. [DOI] [PubMed] [Google Scholar]
  47. Altenburg WA, Bossenbroek L, De Greef MHG, Kerstjens HAM, Ten Hacken NHT, Wempe JB. Functional and psychological variables both affect daily physical activity in COPD: A structural equations model. Respir Med. 2013;107(11):1740–1747. doi: 10.1016/j.rmed.2013.06.002. [DOI] [PubMed] [Google Scholar]
  48. Leidy NK. Functional status and the forward progress of merry-go-rounds: toward a coherent analytical framework. Nurs Res. 1994;43(4):196–202. [PubMed] [Google Scholar]
  49. Stull DE, Kline Leidy N, Jones PW, Ståhl E. Measuring functional performance in patients with COPD: a discussion of patient-reported outcome measures. Curr Med Res Opin. 2007;23(11):2655–2665. doi: 10.1185/030079907x233133. [DOI] [PubMed] [Google Scholar]
  50. Pitta F, Takaki MY, Oliveira NH, Sant'anna TJ, Fontana AD, Kovelis D, Camillo CA, Probst VS, Brunetto AF. Relationship between pulmonary function and physical activity in daily life in patients with COPD. Respir Med. 2008;102(8):1203–1207. doi: 10.1016/j.rmed.2008.03.004. [DOI] [PubMed] [Google Scholar]
  51. Reardon JZ, Lareau SC, ZuWallack R. Functional status and quality of life in chronic obstructive pulmonary disease. Am J Med. 2006;119(10 Suppl 1):32–37. doi: 10.1016/j.amjmed.2006.08.005. [DOI] [PubMed] [Google Scholar]
  52. Atkins CJ, Kaplan RM, Timms RM, Reinsch S, Lofback K. Behavioral exercise programs in the management of chronic obstructive pulmonary disease. J Consult Clin Psychol. 1984;52(4):591–603. doi: 10.1037//0022-006x.52.4.591. [DOI] [PubMed] [Google Scholar]
  53. Kaptein AA, Scharloo M, Fischer MJ, Snoei L, Cameron LD, Sont JK, Rabe KF, Weinman J. Illness perceptions and COPD: an emerging field for COPD patient management. J Asthma. 2008;45(8):625–629. doi: 10.1080/02770900802127048. [DOI] [PubMed] [Google Scholar]
  54. Kaptein AA, Scharloo M, Fischer MJ, Snoei L, Hughes BM, Weinman J, Kaplan RM, Rabe KF. 50 years of psychological research on patients with COPD–road to ruin or highway to heaven? Respir Med. 2009;103(1):3–11. doi: 10.1016/j.rmed.2008.08.019. [DOI] [PubMed] [Google Scholar]
  55. Petrie KJ, Cameron LD, Ellis CJ, Buick D, Weinman J. Changing illness perceptions after myocardial infarction: an early intervention randomized controlled trial. Psychosom Med. 2002;64(4):580–586. doi: 10.1097/00006842-200207000-00007. [DOI] [PubMed] [Google Scholar]
  56. Davies MJ, Heller S, Skinner TC, Campbell MJ, Carey ME, Cradock S, Dallosso HM, Daly H, Doherty Y, Eaton S, Fox C, Oliver L, Rantell K, Rayman G, Khunti K. Diabetes Education and Self Management for Ongoing and Newly Diagnosed Collaborative. Effectiveness of the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cluster randomised controlled trial. BMJ. 2008;336(7642):491–495. doi: 10.1136/bmj.39474.922025.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Jansen DL, Heijmans M, Rijken M, Kaptein AA. The development of and first experiences with a behavioural self-regulation intervention for end-stage renal disease patients and their partners. J Health Psychol. 2011;16(2):274–283. doi: 10.1177/1359105310372976. [DOI] [PubMed] [Google Scholar]

Articles from Health and Quality of Life Outcomes are provided here courtesy of BMC

RESOURCES