Back to Journals » Journal of Multidisciplinary Healthcare » Volume 9

Trajectories of physical and mental health among persons with morbid obesity and persons with COPD: a longitudinal comparative study

Authors Bonsaksen T, Fagermoen MS, Lerdal A

Received 16 December 2015

Accepted for publication 3 March 2016

Published 22 April 2016 Volume 2016:9 Pages 191—200


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser

Tore Bonsaksen,1 May Solveig Fagermoen,2 Anners Lerdal2,3
1Department of Occupational Therapy, Prosthetics and Orthotics, Faculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, 2Department of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, 3Department for Patient Safety and Development, Lovisenberg Diakonale Hospital, Oslo, Norway

Morbid obesity and chronic obstructive pulmonary disease (COPD) are prevalent diseases associated with impaired health-related quality of life (HRQoL). Research generally indicates that persons with morbid obesity increase their HRQoL following intervention, whereas evidence of increases in HRQoL in persons with COPD is mixed. Examining the patterns of change over time instead of merely examining whether HRQoL changes will add to the knowledge in this field.
Methods: A sample of persons with morbid obesity and persons with COPD was recruited from learning and mastery courses and rehabilitation centers in Norway. The data were collected by self-report questionnaires at the start of patient education and at four subsequent time points during the 1-year follow-up. HRQoL was measured with the Short Form 12, version 2, and repeated measures analysis of variance was employed in the statistical analysis.
Results: Participants with morbid obesity linearly increased their physical HRQoL during the 1-year follow-up, whereas participants with COPD showed no change. None of the groups changed their mental HRQoL during follow-up. In all subdomains of HRQoL, the participants with morbid obesity showed favorable, linearly increasing trajectories across the follow-up period. Among the participants with COPD, no change patterns occurred in the subdomains of HRQoL, except for a fluctuating pattern in the mental health domain. Age, sex, and work status did not influence the trajectories of HRQoL in any of the domains.
Conclusion: A more favorable trajectory of HRQoL was found for persons with morbid obesity than for persons with COPD, possibly due to the obese persons' better chances of recovery.

Keywords: health-related quality of life, longitudinal study, SF 12, change patterns, patient education course


Morbid obesity and chronic obstructive pulmonary disease (COPD) are chronic illnesses that are becoming increasingly widespread across the world. According to estimates for 2008, 500 million people worldwide are obese, representing >10% of the world’s adult population.1 The prevalence of obesity is particularly high in Western countries: recent estimates for the US are reported as between 26%2 and 36%,3 whereas the corresponding prevalence in Norway is 23%.4 Moreover, the proportion of obese persons classified with morbid obesity (body mass index [BMI] >40) appears to be increasing.2 The figures concerning COPD are equally alarming: Sixty-five million people worldwide are estimated to have moderate-to-severe COPD.5 This disease is considered the fifth leading cause of death and is expected to become the third leading cause by 2030.5

Morbid obesity and COPD are diseases associated with “lifestyle”. Unhealthy lifestyle behaviors are important causal factors for both the diseases, most notably physical inactivity, and overeating (morbid obesity) and smoking (COPD). However, the illnesses are markedly dissimilar in terms of how they normally progress. Morbid obesity is considered a serious chronic illness, but its related deaths are usually caused by consequent health problems that can be countered by various means.2 By increasing physical activity and improving the diet, the person can reduce weight and promote health. Further, medication and surgery are commonly used treatments. In contrast, COPD has been perceived a progressive disease. In spite of the palliative nature of COPD treatment, self-management strategies, including regular physical activity and giving up smoking, are important to improve symptom management and reduce or delay exacerbations of the illness. Generally, patient education for persons with chronic illnesses seeks to enhance the person’s understanding of the illness and to change behaviors accordingly. Such changes may differ for persons with morbid obesity compared to persons with COPD, as reflected in studies of illness perceptions6 and general self-efficacy.7

The knowledge about the development of health-related quality of life (HRQoL) in persons with these chronic illnesses is limited. We have not found longitudinal studies of HRQoL that incorporate comparisons of different illness groups. Based on the above-mentioned differences, we assume that the two groups will demonstrate different HRQoL trajectories, but this needs to be examined. In general, these illness groups have lower HRQoL than the general population, matched for age and sex.811 Studies indicate that persons with morbid obesity improve their HRQoL after surgical treatment during the first year of follow-up.10,12,13 In a long-term perspective, these changes may at least partly be related to the person’s subsequent weight maintenance.14,15 Rehabilitation for persons with COPD includes a variety of elements, such as patient education, lifestyle change programs, and medication.1618 However, positive outcomes after rehabilitation appear to be hard to maintain over time.7,1921

While most longitudinal research has examined change between two time points, we have only identified one study examining HRQoL change patterns in persons with morbid obesity.11 We have not located similar studies of persons with COPD. In the present study, we address these shortcomings. Our sample consists of persons with morbid obesity and persons with COPD, which allows for a comparative view of HRQoL change.


The aim of this study was to explore the trajectories of HRQoL in persons with morbid obesity and in persons with COPD during the first year after completion of patient education. We hypothesized that the participants with morbid obesity would demonstrate favorable HRQoL trajectories compared with the participants with COPD, given the changeable nature of obesity compared to the progressive nature of COPD. Furthermore, we explored whether age, sex, and work status influenced the HRQoL trajectories in the two illness groups.


Study design

A prospective longitudinal study was designed to explore changes in HRQoL in persons participating in patient education in Norway and to test several instruments regarding HRQoL, perception of illness, and dimensions of coping with a view to the sensitivity of these instruments, ie, their ability to detect change over time.22 In this sub-study, sociodemographic variables, social support, and data related to HRQoL were included.

Sample and data collection

Patient education is frequently provided to persons with morbid obesity and persons with COPD in Norway as a part of public health care. The two groups have different treatment options and different perceived prospects for improving their health condition – morbid obesity can be treated by a variety of means, while COPD is a progressive disease. For these reasons, we selected to examine the quality-of-life trajectories of these groups.

A convenience sample of home-dwelling persons with morbid obesity or COPD, blinded to the purpose of the study, was consecutively recruited during 2009–2010 when starting patient education. All were referred to patient education by a physician. The inclusion of morbidly obese participants required the person to have a BMI of ≥40 kg/m2,23 as this was the target group for the patient education course. The inclusion of participants with COPD required the person to be classified with moderate-to-severe limitation of airflow, representing GOLD stages 2–3.24 For persons in GOLD stage 2, the forced expiratory volume in 1 second is 50%–79% of normal capacity, whereas GOLD stage 3 indicates that the person has 30%–49% of normal capacity. After receiving verbal and written information about the study, all patient education attendants were invited by the project leader (second author) to participate. Data were collected at five time points: before the start of the patient education course, 2 weeks after the course, and at 3, 6, and 12 months of follow-up. Those who consented completed the first set of questionnaires (baseline assessment) in a secluded room on-site on the first day of the patient education course and returned it in a sealed envelope. Participants completed the questionnaires at home and returned them to the researchers by mail at the following assessments.

Out of a total number of 312 course attendants, 242 (77.6%) gave their consent to participate. Persons with missing responses on any of the variables used in the study were excluded from analyses. Following this procedure, 139 participants were excluded due to not having valid scores on all variables at every assessment, leaving a total sample of 103 participants for this study.

Patient education

Patient education for the participants with morbid obesity lasted between 9 and 15 weeks and included ~40 hours with lectures, small group discussion, and work with personalized action plans. Health care professionals in cooperation with previous course participants developed and delivered the course. The approach was grounded in cognitive behavior theory. It emphasized the participants’ work in uncovering hidden resources, strengthening self-concept and social skills, and raising consciousness of lifestyle choices. It covered major subjects that included available treatments and their intended and unintended consequences, necessary lifestyle changes, and subsequent changes in mind and body.22

The patient education for participants with COPD was based on the similar principles as those discussed earlier, whereas the number of educational sessions varied between 20 and 48 hours. However, the COPD courses lasted between 3 and 5 weeks. The combined educational course and subsequent treatment were assumed to help participants improve their understanding of and coping with the illness, promote a healthier lifestyle and thereby improve their HRQoL.


Health-related quality of life

HRQoL was measured with the Norwegian version of the Short Form 12, version 2, a widely used abbreviated form with 12 items extracted from the original SF-36.25 Eight HRQoL subdomains are constructed from the scale (Cronbach’s α coefficients are provided in the parentheses as appropriate): physical functioning (0.82), role physical (0.91), bodily pain, general health, vitality, social functioning, role emotional (0.89), and mental health (0.69). In addition, physical component summary (PCS) scores (α=0.89) measuring physical health and mental component summary (MCS) scores (α=0.84) measuring mental health are computed.26,27 As bodily pain, general health, vitality, and social functioning are one-item domains, reliability coefficients are not computable. The PCS and MCS scores are based on norm data from the US.26 A score of 50 corresponds with the mean score, and a deviation of 10 corresponds with one standard deviation (SD) in relation to the US-derived standard. Higher scores on PCS, MCS, and each of the subdomains correspond with better HRQoL in the respective domains.

Environmental characteristics

Social support was measured based on participants’ response to one question: “I think I have enough support from people with whom I have a close relationship.” Response categories were on a five-point Likert-type scale, ranging from “totally agree” (1) to “totally disagree” (5). The scores were reversed for analysis so that higher scores indicated more support. This measure was not validated prior to its use in the study.

Sociodemographic background

Data for age (years), sex (male, female), education (≤12 years of formal education, >12 years of formal education), employment (having paid work, no paid work), and relationship status (married/cohabitant, no paired relationship) were collected.

Statistical analyses

Data were analyzed using IBM SPSS (Armonk, NY, USA) for Windows version 19.28 Group differences were assessed by χ2 test for categorical variables or by t-test for continuous variables. Two-way repeated measures analyses of variance (ANOVAs) were used to assess the trajectories of HRQoL in the sample, using illness group as the between-subject variable. Possible confounding variables were identified from the analysis of group differences regarding sociodemographic variables. In the two-way ANOVA, thus, the analyses further controlled for potential effects from age, sex, and work status. In addition, given that our sample was mixed in terms of participants having opted (n=40) and not opted for bariatric surgery (n=13), we analyzed whether or not this choice affected their HRQoL trajectories during the follow-up period. At each time point, illness group differences regarding physical health, mental health, and each of the HRQoL subdomains were examined with linear regression models controlling for age, sex, and work status.

In the next step, the analyses were repeated for each of the illness groups separately (one-way ANOVA). Regarding effect sizes, Cohen’s d>0.40 was considered moderate and clinically significant,29,30 whereas partial η2=0.01, 0.06, and 0.14 were interpreted as small, medium, and large effect sizes, respectively.30,31 Adjustments for multiple comparisons between time points were made by using the Bonferroni correction. Cronbach’s coefficient α was used to assess the internal consistency of the HRQoL scales. The significance level was P<0.05. All tests were two-tailed.


The Norwegian Research Ethics Committee (REK S-08662c 2008/17575) and the Ombudsman of Oslo University Hospital approved of the study. Written informed consent was received from all participants.


Sample characteristics

The attrition analyses showed that the study participants and dropouts were similar at baseline with regard to sex proportions, education level, and work status. The participants lived more often in paired relationship (n=72, 69.9%) than the dropouts (n=77, 55.8%, P=0.03). The participants were also older (M=54.8 years, SD =13.9 years) than the dropouts (M=49.2 years, SD =15.0 years, P<0.01, d=0.39), and had higher HRQoL mental domain score (M=48.2, SD =11.1) than the dropouts (M=43.9, SD =12.7, P<0.01, d=0.36). HRQoL physical domain scores were similar between participants and dropouts.

The HRQoL mental component scores showed a normal distribution in both illness groups across all time points (all Kolmogorov–Smirnov tests of normality not statistically significant). For the participants with morbid obesity, the HRQoL physical component scores showed a changing distribution across time. Scores were skewed toward lower scores at baseline (skewness =0.24, standard error [SE] =0.33), showed a normal distribution by the end of the patient education and at 3 months of follow-up, and were skewed toward higher scores at 6 months (skewness =–0.41, SE =0.33) and 12 months (skewness =–0.90, SE =0.33) of follow-up. For the participants with COPD, the HRQoL physical component scores showed a normal distribution with one exception at 6 months after the patient education, where the COPD sample scores were skewed toward the lower end of the scale (skewness =0.30, SE =0.34).

The sample characteristics at baseline are described in Table 1. Participants with morbid obesity were younger and more often in paid work and a larger proportion of them were females than the participants with COPD. Participants with COPD had higher baseline scores on bodily pain and vitality, indicating higher HRQoL in these subdomains, compared to their counterparts with morbid obesity. Controlling for age, sex, and work status in the regression analysis, however, we found that compared to the participants with morbid obesity, participants with COPD had better physical health and HRQoL in the subdomains role physical, bodily pain, general health, and social functioning. Among the participants with morbid obesity, 40 (75.5%) had bariatric surgery during the follow-up period. The reasons among the participants for having or not having bariatric surgery performed are not known.

Table 1 Characteristics of the sample at baseline (N=103)
Notes: Mean values (M), SDs, and probability of differences (P) between the two subsamples as investigated with an independent t-test and χ2 test. Effect sizes are provided as Cohen’s d. Higher scores on social support and on HRQoL components and subdomains reflect higher levels.
Abbreviations: SD, standard deviation; COPD, chronic obstructive pulmonary disease; HRQoL, health-related quality of life.

Trajectories of HRQoL components

In the total sample, there was a significant interaction effect regarding PCS between time and illness group (Wilks’ lambda =0.64, F [4, 98] =13.80, partial η2=0.36, P<0.001), indicating different PCS trajectories in the two groups. Age, sex, and work status were unrelated to PCS trajectories. Controlling for these factors, the differences between the illness groups remained. Participants with morbid obesity showed a linearly increasing PCS pattern (P<0.001), whereas no change pattern was shown for those with COPD. Regarding the MCS trajectories, there was no difference between the illness groups and no change pattern occurred. Age, sex, and work status were unrelated to MCS trajectories. PCS and MCS trajectories for the study participants, controlling for age, sex, and work status are shown in Figure 1.

Figure 1 Trajectories of physical health and mental health (HRQoL component scores).
Notes: Scores are for persons with morbid obesity (n=53, solid line) and for persons with COPD (n=50, dashed line), controlling for age, sex, and work status. Bars are lower and upper 95% CI. Score range is 0–100, where higher scores indicate higher HRQoL. Subsequent analyses showed that: a) participants with morbid obesity increased scores on PCS linearly; b) participants with COPD did not demonstrate a change pattern of PCS scores; and c) none of the illness groups demonstrated a change pattern of MCS scores. **P<0.01 and *P<0.05.
Abbreviations: HRQoL, health-related quality of life; CI, confidence interval; PCS, physical component summary; MCS, mental component summary.

Considering the PCS trajectories of surgical vs nonsurgical participants with morbid obesity, we found a significant time × illness group interaction with large ES (Wilks’ lambda =0.70, F [4, 48] =5.24, partial η2=0.30, P=0.001), indicating different trajectories in these groups. Subsequent analyses showed linearly increasing PCS with a very large ES in both groups but with a larger ES for those who had undergone surgery during the first year after the patient education course (partial η2=0.74 vs 0.43). The MCS trajectories were not different between surgical and nonsurgical participants in the morbid obesity group (data not shown).

Trajectories of HRQoL subdomains

The two illness groups showed differences concerning the trajectories of physical functioning (partial η2=0.32, P<0.001), role physical (partial η2=0.19, P<0.001), bodily pain (partial η2=0.31, P<0.001), general health (partial η2=0.20, P<0.001), vitality (partial η2=0.12, P=0.01), social functioning (partial η2=0.15, P<0.01), and role emotional (partial η2=0.09, P<0.05). Controlling for age, sex, and work status, the different trajectories for the two illness groups remained statistically significant for physical functioning, role physical, bodily pain, general health, and social functioning. Group differences concerning the trajectories of vitality reached a borderline level of significance (P=0.06).

When the illness groups were analyzed separately, as shown in Figure 2, participants in the obesity group showed a linear increase in all HRQoL subdomains: physical functioning, role physical, bodily pain, general health, vitality, social functioning (all P<0.001), role emotional (P<0.01), and mental health (P<0.05). Participants with COPD showed a cubic, fluctuating pattern of mental health scores (P<0.05). A borderline significant trend of increasing scores on role physical was shown for this group (P=0.06). Otherwise, no change patterns occurred for any of the other HRQoL subdomains. The participants’ trajectories on the HRQoL subdomains, controlling for age, sex, and work status, are shown in Figure 2.

Figure 2 Trajectories of the subdomains of HRQoL.
Notes: Scores are for persons with morbid obesity (n=53, solid line) and persons with COPD (n=50, dashed line), controlling for age, sex, and work status. Bars are lower and upper 95% CI. Score range is 0–100, where higher scores indicate higher HRQoL. Subsequent analyses showed that: a) participants with morbid obesity had linearly increasing scores in all HRQoL subdomains (physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional, and mental health); and b) participants with COPD had a cubic, fluctuating change pattern of the mental health subdomain scores. **P<0.01 and *P<0.05.
Abbreviations: HRQoL, health-related quality of life; CI, confidence interval.


Participants with morbid obesity demonstrated an improving trajectory of physical health during the following year after participating in a patient education program, while participants with COPD showed no change in physical health. None of the groups showed a change in trajectory regarding mental health during follow-up. In all subdomains of HRQoL, the participants with morbid obesity showed favorable, linearly increasing trajectories across the follow-up period. Participants with COPD showed a fluctuating pattern in the mental health subdomain; otherwise, no change patterns occurred in this group. The participants’ age, sex, and work status did not influence the trajectories of HRQoL in any of the domains.

Trajectories of HRQoL

The trajectory of improving physical health among participants with morbid obesity may have several explanations. They may have implemented a healthier lifestyle with regard to nutrition and physical activity, and thus, have experienced improvements in physical health. Participants who underwent bariatric surgery during the study showed an even stronger improvement in physical health than those without surgery. While recent studies have reported improved HRQoL after bariatric surgery,10,12,13,32 our study showed that participants with obesity without bariatric surgery also improved their physical health with a clinically significant ES. The physical health development among these participants may also be due to their very poor physical health condition at baseline, indicating a large potential for improvements.

Only one previous study, following patients for 3 years, has reported HRQoL trajectories in persons with morbid obesity.11 The study found both physical health and mental health to increase markedly during the first 6 months, increase more slowly after 6 months, and stabilize after 1 year. In our study, on the other hand, the PCS scores continued to increase linearly until the 1-year assessment. Unfortunately, we lack the longitudinal data needed to compare our sample with international studies that have continued to assess participants for longer than we did.11,15

HRQoL will stabilize at a certain level at some point in time. However, the time when such stabilization occurs is not predetermined and may result from a variety of factors. Research has found lower HRQoL in persons with morbid obesity 5 years after they had received gastric surgery, compared to general population levels.10 In view of this, further research needs to investigate how one can increase and maintain HRQoL in this group in a long-term perspective.

Participants with COPD did not change their physical health during the 1-year follow-up period. For these participants, the patient education courses had fewer group sessions with discussion and sharing of experiences compared to the courses for the participants with morbid obesity. Given that group discussion and having feedback on personal experience are important ingredients of patient education, differences in course content and organization may contribute to explaining the results.33 In addition, the prospects of health improvement due to treatment and personal efforts (lifestyle change) in persons with COPD are worse, compared to persons with morbid obesity. Studies have found that persons with COPD have mixed results after rehabilitation and have problems maintaining positive changes over time.16,18,34 Our study augments this knowledge by examining the possibility that HRQoL actually may increase after patient education courses but that such increases are reduced to initial levels after some time. For our participants with COPD, no such increase occurred during the first year after the patient education course. More research is needed to explore effective ways of improving and maintaining HRQoL in this group.

None of the groups showed a significant change pattern relating to mental health. This is somewhat surprising, particularly with regard to the participants with morbid obesity. In view of their physical health improvements, one might expect that their mental health would follow a similar pattern. Improvements in mental health have been shown in previous studies of morbid obesity.11,12 However, Laurino Neto and Herbella found a lack of improvement in mental HRQoL and argued that this area might possibly be less affected by obesity.14

As an alternative to the above explanation,14 the participants with morbid obesity may have experienced their life circumstances in the follow-up period to be quite challenging. Regardless of their subsequent treatment (continued lifestyle change, medication, and/or surgery), after having completed the learning and mastery course, they would all have to adjust to and cope with change. Among persons with morbid obesity, many have experienced how easy it is to have goals and ambitions – and just how hard it is to consistently do what it takes to reach these goals.35,36 In such a perspective, the non-changing mental health for this group makes psychological sense, even in the case of physical health improvement.

Generally, the analysis of the HRQoL subdomains for the two groups confirmed the notion of important group differences concerning HRQoL in persons with morbid obesity and in persons with COPD. At the outset of the patient education, participants with COPD had higher HRQoL in the bodily pain and vitality subdomains than the obese participants (and in most of the other subdomains as well, although not reaching statistical significance, Table 1). On the other hand, seven of the eight HRQoL subdomain trajectories were significantly different between the two groups. The participants with morbid obesity showed a linearly increasing pattern of all HRQoL subdomains, whereas the participants with COPD showed a significant change pattern for mental health only. We interpret these results as evidence of morbid obesity being an illness that has a marked negative influence on HRQoL, and apparently, more so than what was the case with COPD. However, the trajectories of HRQoL for the obesity group were positive, as physical health and each of the HRQoL subdomains increased linearly during the first year after the patient education course. In combination, these results indicate that HRQoL may generally be low in persons with morbid obesity, but also that persons with this illness may have good prospects of a positive HRQoL development over time. These results are in line with, but also augment, the positive results from several longitudinal studies of persons with obesity.1015

Given the lack of similar studies concerning COPD, our study appears to be the first to report on HRQoL trajectories for this group. Our results confer with previous studies reporting poor outcomes after rehabilitation for persons with COPD,16,18,34 and add to the knowledge base by reporting stable (ie, non-improving) trajectories of HRQoL during a 1-year follow-up period. The cubic trajectory found in the mental health subdomain may reflect that emotions are more fluctuating, due to life events and mood variations, than cognitively based functional evaluations. A similar line of reasoning has been put forward recently.37

Study limitations

A small number of participants, the use of a convenience sample, and a relatively short follow-up period are limitations of the study. Skewed distributions may increase the risk of making Type II error. Nonsignificant trajectories were frequent among the participants with COPD, but this group showed a largely normal distribution of SF scores. However, this represents a possibility of Type II error associated with the results for the participants with COPD. The social support measure had not been validated before being used in the study. Future studies should preferably include larger samples, which seem particularly important to increase the reliability of comparisons between subgroups of persons with morbid obesity (ie, surgical treatment vs no surgical treatment for obese participants, and medical treatment vs nonmedical treatment for COPD participants). Differences between participants and dropouts at baseline also limit generalizability. Our study is also limited by not having access to data concerning other relevant health factors, such as comorbidities, duration of illness, progression of illness, and current health-related behaviors (like smoking). For the two groups examined, it would be relevant to measure, for example, BMI, weight, and lung functioning, as changes in these aspects could influence the participants’ HRQoL development over time. However, since the courses were based on a health promotion philosophy, collecting objective health data including weight, height, comorbidities, and disease characteristics would have resulted in that the participants’ attention was directed toward their disease instead of toward making changes in lifestyle. In turn, this shift of attention might have undermined the intervention. Thus, we did not include objective measures in the study. We have not had access to Norwegian norm data for HRQoL as measured with the SF-12. Thus, the norm values for PCS and MCS may be different in the Norwegian population in comparison with the general US population. Future studies should also aim to follow the participants in a longer time perspective, as the long-term outcomes for these groups still appear to be relatively unexplored.


This study found that participants with morbid obesity increased their HRQoL in practically all areas during the 1-year follow-up period after having attended a learning and mastery course. The participants with COPD, contrastingly, showed an increase followed by a subsequent decrease in the mental health subdomains; otherwise, no change patterns were detected for this group. Although a variety of factors could be causing the HRQoL development for the participants, the study has three clinically important implications. For persons with morbid obesity, a condition often associated with reduced HRQoL, HRQoL increased during the 1-year follow-up period. Moreover, it increased in a linear shape, essentially underscoring that positive change can be maintained and strengthened beyond the conclusion of a patient education program. Bearing in mind the results for the participants with COPD, these indicate that persons with this illness may need more extensive and/or more frequent efforts from health professionals to achieve notable changes in HRQoL. This study appears to be the first to examine the trajectories of HRQoL with these illness groups in a comparative perspective, and we conclude that persons with morbid obesity showed more positive trajectories of HRQoL than did persons with COPD.


The study was funded by the Norwegian Centre for Patient Education, Research and Service Development, Oslo, Norway. The contributions from the following Norwegian institutions are acknowledged: The Patient Education Centers at Oslo University Hospital – Aker, Oslo; Deacon’s Hospital, Oslo; Lovisenberg Diakonale Hospital, Oslo; Asker and Bærum Hospital, Sandvika; Østfold Hospital, Sarpsborg; and Stavanger University Hospital, Stavanger. In addition, the authors acknowledge the contributions from the following institutions: Pulmonary Rehabilitation Centers at Oslo University Hospital – Ullevål, Oslo; Krokeide Center, Nærland; and Glittreklinikken, Nittedal.

Authors’ contributions

TB performed the statistical analysis, interpreted the data, and drafted the manuscript. MSF and AL designed the study, interpreted the data, and participated in the revising of the manuscript. All authors read and approved of the final version of the manuscript.


The authors declare that they have no competing interests.



World Health Organization. Obesity and overweight. Fact sheet #311. Available from: Accessed June 4, 2014.


Bastien M, Poirier P, Lemieux I, Després JP. Overview of epidemiology and contribution of obesity to cardiovascular disease. Prog Cardiovasc Dis. 2014;56(4):369–381.


Nguyen T, Lau DCW. The obesity epidemic and its impact on hypertension. Can J Cardiol. 2012;28(3):326–333.


Holmen J, Midthjell K, Krokstad S, Lingaas Holmen T. Obesity and type 2 diabetes in norway: new data from the HUNT study [abstract]. Obesity Facts. 2009;2:256.


World Health Organization. Burden of COPD. Available from: Accessed June 4, 2014.


Bonsaksen T, Lerdal A, Fagermoen MS. Trajectories of illness perceptions in persons with chronic illness: an explorative longitudinal study. J Health Psychol. 2015;20(7):942–953.


Bonsaksen T, Fagermoen MS, Lerdal A. Trajectories of self-efficacy in persons with chronic illness: an explorative longitudinal study. Psychol Health. 2014;29(3):350–364.


de Zwaan M, Petersen I, Kaerber M, et al. Obesity and quality of life: a controlled study of normal-weight and obese individuals. Psychosomatics. 2009;50(5):474–482.


van Manen JG, Bindels PJ, Dekker FW, et al. The influence of COPD on health-related quality of life independent of the influence of comorbidity. J Clin Epidemiol. 2003;56(4):1177–1184.


Helmiö M, Salminen P, Sintonen H, Ovaska J, Victorzon M. A 5-year prospective quality of life analysis following laparoscopic adjustable gastric banding for morbid obesity. Obes Surg. 2011;21(10):1585–1591.


Robert M, Denis A, Bandol-Van Straaten P, Jaisson-Hot I, Gouillat C. Prospective longitudinal assessment of change in health-related quality of life after adjustable gastric banding. Obes Surg. 2013;23(10):1564.


Lier HØ, Biringer E, Hove O, Stubhaug B, Tangen T. Quality of life among patients undergoing bariatric surgery: associations with mental health – a 1 year follow-up study of bariatric surgery patients. Health Qual Life Outcomes. 2011;9(1):79.


Andenæs R, Fagermoen MS, Eide H, Lerdal A. Changes in health-related quality of life in people with morbid obesity attending a mearning and mastery course. A longitudinal study with 12-months follow-up. Health Qual Life Outcomes. 2012;10(95):1–7.


Laurino Neto RM, Herbella FA. Changes in quality of life after short and long term follow-up of roux-en-y gastric bypass for morbid obesity. Arq Gastroenterol. 2013;50(3):186–190.


Kolotkin RL, Davidson LE, Crosby RD, Hunt SC, Adams TD. Six-year changes in health-related quality of life in gastric bypass patients versus obese comparison groups. Surg Obes Relat Dis. 2012;8(5):625–633.


Bjoernshave B, Korsgaard J, Jensen C, Nielsen CV. Pulmonary rehabilitation in clinical routine: a follow-up study. J Rehabil Med. 2013;45(9):916–923.


Labrecque M, Rabhi K, Laurin C, et al. Can a self-management education program for patients with chronic obstructive pulmonary disease improve quality of life? Can Respir J. 2011;18(5):e77–e81.


Zakrisson AB, Engfeldt P, Hägglund D, et al. Nurse-led multidisciplinary programme for patients with COPD in primary health care: a controlled trial. Prim Care Respir J. 2011;20(4):427–433.


Heppner PS, Morgan C, Kaplan RM, Ries AL. Regular walking and long-term maintenance of outcomes after pulmonary rehabilitation. J Cardiopulm Rehabil. 2006;26(1):44–53.


Ries AL, Kaplan RM, Myers R, Prewitt LM. Maintenance after pulmonary rehabilitation in chronic lung disease: a randomized trial. Am J Respir Crit Care Med. 2003;167(6):880–888.


Moullec G, Laurin C, Lavoie JM, Ninot G. Effects of pulmonary rehabilitation on quality of life in chronic obstructive pulmonary disease patients. Curr Opin Pulm Med. 2011;17(2):62–71.


Lerdal A, Andenaes R, Bjornsborg E, et al. Personal factors associated with health-related quality of life in persons with morbid obesity on treatment waiting lists in Norway. Qual Life Res. 2011;20(8):1187–1196.


World Health Organization. Global database on body mass index. Available from: Accessed March 18, 2010.


Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease. 3rd ed. Author; 2011.


Loge JH, Kaasa S, Hjermstad MJ, Kvien TK. Translation and performance of the Norwegian SF-36 Health Survey in patients with rheumatoid arthritis. I. Data quality, scaling assumptions, reliability, and construct validity. J Clin Epidemiol. 1998;51(11):1069–1076.


Ware JE, Kosinski MA, Turner-Bowker DM, Gandek B. How to Score: Version 2 of the SF-12v2 Health Survey. Lincoln, RI: QualityMetric; 2005.


Ware JE, Kosinski MA, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–233.


SPSS for Windows, version 22.0 [computer program]. Armonk, NY: IBM Corp.; 2013.


Cohen J. A power primer. Psychol Bull. 1992;112(1):155–159.


Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.


Pallant J. SPSS Survival Manual. 4th ed. New York: Open University Press; 2010.


Malone M, Alger-Mayer S, Polimeni JM. Health related quality of life after gastric bypass surgery. Appl Res Qual Life. 2012;7(2):155–161.


Nossum R, Rise MB, Steinsbekk A. Patient education – which parts of the content predict impact on coping skills? Scand J Public Health. 2013;41(4):429–435.


Bonsaksen T, Haukeland-Parker S, Lerdal A, Fagermoen MS. A 1-year follow-up study exploring the associations between perception of illness and health-related quality of life in persons with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulm Dis. 2014;9:41–50.


Borge L, Christiansen B, Fagermoen MS. Motivation for lifestyle changes among morbidly obese people. Sykepleien Forskning. 2012;7(1):14–22.


Bonsaksen T, Hustadnes AL, Axelsen PM, Bjørnsborg E. Lærer å mestre sykelig fedme [Learning to cope with morbid obesity]. Sykepleien. 2011;99(2):58–60. Norwegian.


Moullec G, Favreau H, Lavoie KL, Labrecque M. Does a self-management education program have the same impact on emotional and functional dimensions of HRQoL? COPD. 2012;9:36–45.

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]