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Influence of morbid obesity on physical capacity, knee-related symptoms and overall quality of life: A cross-sectional study

Influência da obesidade mórbida sobre a capacidade física, sintomas relacionados aos joelhos e qualidade de vida geral: um estudo transversal

Summary

Objective:

To evaluate the impact of morbid obesity on physical capacity, joint-related symptoms, and on the overall quality of life.

Method:

Cross-sectional study carried out at a university hospital, enrolling 39 individuals admitted to a bariatric surgery service. Physical capacity was assessed by Six-Minute Walk Test (SMWT) and the Borg rating of perceived exertion (RPE). Knee-related symptoms were evaluated by Knee Injury and Osteoarthritis Outcome Score (KOOS) and the Lysholm Score. Quality of life was evaluated by Short Form 36 Health Questionnaire (SF-36).

Results:

On SMWT, the mean distance walked was 374.1±107.5 m. The mean Borg score was 12.9±2.4. KOOS questionnaire found the following scores: pain (64.3±24), other symptoms (67.2±25.5), function in daily living (60.4±26.8), function in sport and recreation (28.5±32.2), knee-related quality of life (35.9±33.5), mean Lysholm scale score (55.3±25.4). SF-36 provided the following scores: physical functioning (41±27.4), physical role functioning (34.6±39.2), bodily pain (45.7±23.6), general health perceptions (63.1±26.2), vitality (53.5±12.1), social role functioning (52.6±29.3), emotional role functioning (41±44.9), mental health (55±27.7).

Conclusion:

Obesity led to significant loss of physical capacity, gait impairment, knee-related symptoms, and a negative impact on the overall quality of life.

Keywords:
obesity; quality of life; knee; joint diseases; arthralgia

Resumo

Objetivo:

Avaliar o impacto da obesidade mórbida sobre a capacidade física, sintomas osteoarticulares e qualidade de vida global.

Método:

Estudo transversal realizado em hospital universitário, envolvendo 39 indivíduos admitidos em um serviço de cirurgia bariátrica. A capacidade física foi avaliada através do teste de caminhada de 6 minutos e pela escala de percepção de esforço de Borg. Os sintomas relacionados ao joelho foram avaliados pelos escores de KOOS e Lysholm; a qualidade de vida foi avaliada por meio do questionário SF-36.

Resultados:

No teste de caminhada de 6 minutos, a distância média foi de 374,1±107,5 m. O escore médio de Borg foi 12,9±2,4. Os seguintes escores foram observados no KOOS: dor (64,3±24); outros sintomas (67,2±25,5); atividades da vida diária (60,4±26,8); atividades esportivas e lazer (28,5±32,2); qualidade de vida (35,9±33,5); o escore de Lysholm médio foi 55,3±25,4. O SF-36 mostrou estes escores: capacidade funcional (41±27,4); limitação por aspectos físicos (34,6±39,2); dor (45,7±23,6); estado geral de saúde (63,1±26,2); vitalidade (53,5±12,1); aspectos sociais (52,6±29,3); aspectos emocionais (41±44,9); saúde mental (55±27,7).

Conclusão:

A obesidade levou à perda significativa de capacidade física, a prejuízo à marcha, a sintomas relacionados ao joelho e a impacto negativo sobre a qualidade de vida global.

Palavras-chave:
obesidade; qualidade de vida; joelho; artropatias; artralgia

Introduction

Obesity is a medical disorder characterized by an abnormal accumulation of excess body fat, which is associated with adverse health effects. It has become a worldwide public health concern and, according to World Health Organization (WHO) reports, at least 2.8 million people each year die as a result of being overweight or obese.11 World Health Organization (WHO). Global status report on noncommunicable diseases 2014. Geneva: WHO; 2014.

Along with diet, behavioral, and drug treatment strategies, physical activity plays a key role in the therapy of severe obesity. Most of the currently promoted exercise regimens include walking. However, recent evidence has shown a significant impairment in physical capacity associated with obesity, such as gait disturbances, posture deficits, and greater risk of falling.22 Wanigatunga AA, Sourdet SS, LaMonte MJ, Waring ME, Nassir R, Garcia L, et al. Physical impairment and body weight history in postmenopausal women: the Women's Health Initiative. Public Health Nutr. 2016; 19(17):3169-77.

3 Germain CM, Batsis JA, Vasquez E, McQuoid DR. Muscle strength, physical activity, and functional limitations in older adults with central obesity. J Aging Res. 2016; 2016:8387324.

4 Madigan M, Rosenblatt NJ, Grabiner MD. Obesity as a factor contributing to falls by older adults. Curr Obes Rep. 2014; 3(3):348-54.

5 Lang IA, Llewellyn DJ, Alexander K, Melzer D. Obesity, physical function, and mortality in older adults. J Am Geriatr Soc. 2008; 56(8):1474-8.
-66 Pataky Z, Armand S, Müller-Pinget S, Golay A, Allet L. Effects of obesity on functional capacity. Obesity (Silver Spring). 2014; 22(1):56-62. Furthermore, obesity presents a close relationship with chronic degenerative osteoarticular disease, which contributes even more to physical impairment and disability.44 Madigan M, Rosenblatt NJ, Grabiner MD. Obesity as a factor contributing to falls by older adults. Curr Obes Rep. 2014; 3(3):348-54.

5 Lang IA, Llewellyn DJ, Alexander K, Melzer D. Obesity, physical function, and mortality in older adults. J Am Geriatr Soc. 2008; 56(8):1474-8.
-66 Pataky Z, Armand S, Müller-Pinget S, Golay A, Allet L. Effects of obesity on functional capacity. Obesity (Silver Spring). 2014; 22(1):56-62.

There are a few studies evaluating functional abilities, physical capacity, and joint-related symptoms in morbidly obese individuals, as well as their impact on the overall quality of life.

Objective

This study sought to study the influence of morbid obesity on physical capacity, knee-related symptoms, as well as quality of life, in patients eligible for bariatric surgery.

Method

This is a cross-sectional study carried out at a university hospital, enrolling 39 individuals admitted to a bariatric surgery service from May to December, 2011.

Inclusion criteria were: body mass index (BMI) ≥ 40 kg/m2; age between 18 and 65 years old; capacity to understand the study design and provide informed consent.

Exclusion criteria were: any physical disability not directly related with obesity; refusal to take part in the study; systemic diseases which could prevent the individual to perform the physical tests.

The variables evaluated were: age, gender, ethnic group, weight, BMI, age at onset of obesity, clinical condition, physical activity level, objective and subjective evaluation scores regarding knee-related symptoms, and quality of life.

Clinical condition was assessed based on heart rate, systolic and diastolic blood pressures, and respiratory rate. Patients were evaluated at rest and after physical exercise. Heart and respiratory rates were directly calculated by the researchers, and blood pressure was measured using an analogue calibrated sphygmomanometer.

To evaluate physical activity, the participants underwent a Six-Minute Walk Test (SMWT) and the Borg rating of perceived exertion. The Knee Injury and Osteoarthritis Outcome Score (KOOS) and Lysholm Score were used to assess symptoms related with the knees. The Short Form 36 Health Survey (SF-36) was used to assess quality of life. All of these scores and questionnaires have been previously validated.77 Du H, Newton PJ, Salamonson Y, Carrieri-Kohlman VL, Davidson PM. A review of the six-minute walk test: its implication as a self-administered assessment tool. Eur J Cardiovasc Nurs. 2009; 8(1):2-8.

8 Borg G, Ljunggren G, Ceci R. The increase of perceived exertion, aches and pain in the legs, heart rate and blood lactate during exercise on a bicycle ergometer. Eur J Appl Physiol Occup Physiol. 1985; 54(4):343-9.

9 Roos EM, Lohmander LS. The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis. Health Qual Life Outcomes. 2003; 1:64.

10 Tegner Y, Lysholm J. Rating systems in the evaluation of knee ligament injuries. Clin Orthop Relat Res. 1985; (198):43-9.
-1111 Brazier JE, Harper R, Jones NM, O'Cathain A, Thomas KJ, Usherwood T, et al. Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ. 1992; 305(6846):160-4.

This study was assessed and approved by the local Research Ethics Board. All individuals provided informed consent. All of the forms and questionnaires were personally applied by the researchers.

Six-Minute Walk Test (SMWT)

The SMWT is a practical simple test that requires a 100-ft hallway but no exercise equipment or advanced training for technicians. It evaluates the global and integrated responses of all the systems involved during exercise, including the pulmonary and cardiovascular systems, systemic circulation, peripheral circulation, blood, neuromuscular units, and muscle metabolism. Most patients do not achieve maximal exercise capacity during the SMWT; instead, they choose their own intensity of exercise and are allowed to stop and rest during the test. However, because most activities of daily living are performed at submaximal levels of exertion, the SMWT may better reflect the functional exercise level for daily physical activities.1212 ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002; 166(1):111-7.

Scale of Perceived Exertion (Borg scale)

This is a psychophysiological scale that measures feelings of effort, strain, discomfort, and/or fatigue experienced during both aerobic and resistance training. The rating of perceived exertion (RPE) is often measured using a 15 category scale that was developed by Swedish psychologist Gunnar Borg. It is a numerical scale that ranges from 6 to 20, where 6 means "no exertion at all" and 20 means "maximal exertion."88 Borg G, Ljunggren G, Ceci R. The increase of perceived exertion, aches and pain in the legs, heart rate and blood lactate during exercise on a bicycle ergometer. Eur J Appl Physiol Occup Physiol. 1985; 54(4):343-9.,1313 Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002; 20(11):873-99.

Knee Injury and Osteoarthritis Outcome Score (KOOS)

The KOOS is a self-administered questionnaire that includes five outcomes: pain, symptoms, activities of daily living, sport and recreation function, and knee-related quality of life. It was originally developed to assess short- and long-term patient-relevant outcomes following knee injury and arthritis. A 100-point score indicates absence of knee-related symptoms, while a 0-point score reveals extreme knee-related symptoms.1414 Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee Injury and Osteoarthritis Outcome Score (KOOS) - development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998; 28(2):88-96.

Lysholm Score

The Lysholm knee scale is a condition-specific outcome measure that was originally designed to assess ligament injuries of the knee.1515 Kocher MS, Steadman JR, Briggs KK, Sterett WI, Hawkins RJ. Reliability, validity, and responsiveness of the Lysholm knee scale for various chondral disorders of the knee. J Bone Joint Surg Am. 2004; 86-A(6):1139-45. It encompasses eight questions, whose ultimate outcome is expressed nominally, that is "excellent" from 95 to 100 points; "good" from 84 to 94; "fair" from 65 to 83; and "poor" when below 65.1616 Peccin MS, Ciconelli R, Cohen M. Questionário específico para sintomas do joelho "Lysholm Knee Scoring Scale": tradução e validação para a língua portuguesa. Acta Ortop Bras. 2006; 14(5):268-72.

Short Form 36 Health Survey (SF-36)

The SF-36 is a 36-item patient-reported survey of patient health. The SF-36 consists of eight scaled scores, which are the weighted sums of the questions in their section. Each scale is directly transformed into a 0-100 scale on the assumption that each question carries equal weight. A score of zero is equivalent to maximum disability and a score of 100 is equivalent to no disability. The eight sections are: vitality, physical functioning, bodily pain, general health perceptions, physical role functioning, emotional role functioning, social role functioning, and mental health.1717 Laucis NC, Hays RD, Bhattacharyya T. Scoring the SF-36 in Orthopaedics: a brief guide. J Bone Joint Surg Am. 2015; 97(19):1628-34.

Statistical analysis

For comparison of categorical variables, we used Chi-square and Fischer's tests. To compare continuous measures, the Mann-Whitney test was used. The level of significance adopted was 5% (p<0.05). The statistical analyses were performed using the Statistical Package for Social Sciences (SPSS) software, version 16.0.

Results

Of 39 individuals, 84.6% were female. Mean age was 42.4±10.8 years old. Regarding ethnic groups, 64.1% were White, 10.3% were Black, and 25.6% were mixed. Mean weight was 126.2±24.6 kg; mean BMI was 49.4±6.8 kg/m2. Table 1 summarizes the demographic and anthropometric characterizations of the population study.

TABLE 1
Demographic and anthropometric characteristics of the studied population.

Mean heart rate at rest was 73.1±14.3 bpm; after SMWT, it was 113.5±20.3 bpm (p<0.0001). Mean respiratory at rest was 19±4.9 breaths per minute; after SMWT, it was 24.5±8.2 breaths per minute (p=0.01). Mean systolic pressure at rest was 136.7±20.9 mmHg; after SMWT, it was 157±22.3 mmHg (p<0.0001). Mean diastolic pressure at rest was 95±16.7 mmHg; after SMWT, it was 91.4±15.7 mmHg (p=0.19). The SMWT yielded the following results: mean speed was 63.6±14.7 m/s; the mean distance walked was 374.1±107.5 m. The mean Borg score was 12.9±2.4. Table 2 shows the main findings regarding general clinical condition and the results of the SMWT and Borg scale.

TABLE 2
General clinical condition and results of the SMWT and RPE scale of the studied population.

Regarding joint-related symptoms, individuals reported pain in the ankles (7.7%); knees (82.1%); hips (23.1%), and spine (48.7%). Regarding therapies for pain, 76.9% reported more than weekly usage of analgesics and/or non-steroidal anti-inflammatory drugs (NSAIDs). Table 3 summarizes these findings.

TABLE 3
Distribution of joint-related pain in the studied population.

The application of the KOOS questionnaire led to the following scores in each of the five subscales: pain: 64.3±24; other symptoms: 67.2±25.5; function in daily living: 60.4±26.8; function in sport and recreation: 28.5±32.2; knee-related quality of life: 35.9±33.5. The mean Lysholm scale score was 55.3±25.4. Table 4 details these findings.

TABLE 4
Results of the KOOS questionnaire and Lysholm score.

Application of SF-36 survey provided the following scores in each section: physical functioning: 41±27.4; physical role functioning: 34.6±39.2; bodily pain: 45.7±23.6; general health perceptions: 63.1±26.2; vitality: 53.5±12.1; social role functioning: 52.6±29.3; emotional role functioning: 41±44.9; mental health: 55±27.7. Table 5 summarizes the SF-36 application results.

TABLE 5
Results of the SF-36 survey.

Discussion

Gait impairment in obese individuals exerts a significant impact on routine daily activities. We observed slow gait speed and consequently low distance walked on the SMWT. Comparing our SMWT results with those observed in healthy individuals by Ziegler et al.1818 Ziegler B, Fernandes AK, Sanches PR, Konzen GL, Dalcin PT. Variability of the perception of dyspnea in healthy subjects assessed through inspiratory resistive loading. J Bras Pneumol. 2015; 41(2):143-50. and Burr et al.,1919 Burr JF, Bredin SS, Faktor MD, Warburton DE. The 6-minute walk test as a predictor of objectively measured aerobic fitness in healthy working-aged adults. Phys Sportsmed. 2011; 39(2):133-9. we found lower distances walked. Pataky et al.66 Pataky Z, Armand S, Müller-Pinget S, Golay A, Allet L. Effects of obesity on functional capacity. Obesity (Silver Spring). 2014; 22(1):56-62. reported that obese women tend to have slower gait speeds and accompanying shorter stride lengths, relatively less powerful lower limbs and a poorer endurance compared to lean individuals. Comparative studies by Dufek et al.2020 Dufek JS, Currie RL, Gouws PL, Candela L, Gutierrez AP, Mercer JA, et al. Effects of overweight and obesity on walking characteristics in adolescents. Hum Mov Sci. 2012; 31(4):897-906. and Hergenroeder et al.2121 Hergenroeder AL, Brach JS, Otto AD, Sparto PJ, Jakicic JM. The influence of body mass index on self-report and performance-based measures of physical function in adult women. Cardiopulm Phys Ther J. 2011; 22(3):11-20. have also shown significantly slower speeds and distances in obese individuals. Thus, gait impairment observed in our results is comparable to previous reports. SMWT has considerable advantages, since it is easy to perform, reproducible, and inexpensive. While it reproduces the activity of daily living, it also has a good correlation with peak oxygen uptake obtained via cardiopulmonary exercise test. However, the test does not provide insight into the mechanisms of exercise limitation.2222 Heresi GA, Dweik RA. Strengths and limitations of the six-minute-walk test: a model biomarker study in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2011; 183(9):1122-4.

Regarding the Borg scale, this study has shown a significant perception of exertion among our obese population studied. Ziegler et al.1818 Ziegler B, Fernandes AK, Sanches PR, Konzen GL, Dalcin PT. Variability of the perception of dyspnea in healthy subjects assessed through inspiratory resistive loading. J Bras Pneumol. 2015; 41(2):143-50. had observed lower values for this score among healthy individuals, with only 23.8% of the individuals achieving a score above 5 points; compared with the mean score of 12.9 in this study, it is reasonable to conclude that obesity has a significant impact on the perception of breathlessness. A meta-analysis that considered moderating variables such as sex, fitness level, psychological status, and mode of exercise showed that, although the validity of the scale of perceived exertion was not as high as originally reported, the relationships with physiological measures of exercise intensity remained high.1313 Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002; 20(11):873-99. However, it is not free of limitations, since Joo et al.2323 Joo KC, Brubaker PH, MacDougall A, Saikin AM, Ross JH, Whaley MH. Exercise prescription using resting heart rate plus 20 or perceived exertion in cardiac rehabilitation. J Cardiopulm Rehabil. 2004; 24(3):178-84; quiz 185-6. reported that 80% of cardiac rehabilitation patients who were prescribed exercise at a rating of perceived exertion of 11 to 13 exercised at levels deemed to be unsafe.

Obesity is largely associated with physical impairment and joint diseases, and is currently recognized as an independent risk factor for knee osteoarthritis.66 Pataky Z, Armand S, Müller-Pinget S, Golay A, Allet L. Effects of obesity on functional capacity. Obesity (Silver Spring). 2014; 22(1):56-62.,2424 Koonce RC, Bravman JT. Obesity and osteoarthritis: more than just wear and tear. J Am Acad Orthop Surg. 2013; 21(3):161-9.

25 Manek NJ, Hart D, Spector TD, MacGregor AJ. The association of body mass index and osteoarthritis of the knee joint: an examination of genetic and environmental influences. Arthritis Rheum. 2003; 48(4):1024-9.
-2626 Workgroup of the American Association of Hip and Knee Surgeons Evidence Based Committee. Obesity and total joint arthroplasty: a literature based review. J Arthroplasty. 2013; 28(5):714-21. This study found a high prevalence of joint pain, affecting mainly the knees. In a meta-analysis, obesity led to a nearly threefold increase in the risk of knee osteoarthritis.2727 Blagojevic M, Jinks C, Jeffery A, Jordan KP. Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis. Osteoarthritis Cartilage. 2010; 18(1):24-33. Obesity is related with these changes by means of two interconnected pathways: increased load caused by excessive weight, and systemic effects related with chronic inflammation linked to imbalance in the release of active peptides produced by the fat tissue known as adipocytokines.2222 Heresi GA, Dweik RA. Strengths and limitations of the six-minute-walk test: a model biomarker study in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2011; 183(9):1122-4.,2828 Sowers MR, Karvonen-Gutierrez CA. The evolving role of obesity in knee osteoarthritis. Curr Opin Rheumatol. 2010; 22(5):533-7.,2929 Plotnikoff R, Karunamuni N, Lytvyak E, Penfold C, Schopflocher D, Imayama I, et al. Osteoarthritis prevalence and modifiable factors: a population study. BMC Public Health. 2015; 15:1195. The assessment of knee-related symptoms using KOOS score in this study has shown impact mainly regarding pain and other symptoms compared with the mean values in non-obese individuals as reported in a systematic review by Collins et al.3030 Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthritis Cartilage. 2016; 24(8):1317-29. In a prospective study, Edwards et al.3131 Edwards C, Rogers A, Lynch S, Pylawka T, Silvis M, Chinchilli V, et al. The effects of bariatric surgery weight loss on knee pain in patients with osteoarthritis of the knee. Arthritis. 2012; 2012:504189. observed significant improvement in the five domains of KOOS following weight loss, while Gudbergsen et al.3232 Gudbergsen H, Boesen M, Lohmander LS, Christensen R, Henriksen M, Bartels EM, et al. Weight loss is effective for symptomatic relief in obese subjects with knee osteoarthritis independently of joint damage severity assessed by high-field MRI and radiography. Osteoarthritis Cartilage. 2012; 20(6):495-502. reported improvement in pain and function in daily living domains after weight loss. Thus, the results observed in our study regarding the KOOS methodology were similar to those previously observed in the literature. The KOOS score has undergone a substantial amount of psychometric testing, largely among populations for whom the scale was intended. Establishment of the KOOS as a reliable and valid measure across multiple languages highlights its usefulness as a patient-reported measure of knee function.99 Roos EM, Lohmander LS. The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis. Health Qual Life Outcomes. 2003; 1:64.,3030 Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthritis Cartilage. 2016; 24(8):1317-29. On the other hand, it also presents a few flaws, since it has not been validated for interview administration, meaning that it may not be appropriate for patients who are unable to read or write, or where telephone follow-up is necessary. Moreover, when administering the KOOS in older or less physically active individuals, the most physically demanding components of the activities of daily living (ADL) and sport/recreation subscales may not be applicable, and could result in missing data.3030 Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthritis Cartilage. 2016; 24(8):1317-29.

The mean Lysholm score observed in this study was also considerably lower than that found in healthy individuals by Briggs et al. (55.3±25.4 versus 94±16.4).3333 Briggs KK, Steadman JR, Hay CJ, Hines SL. Lysholm score and Tegner activity level in individuals with normal knees. Am J Sports Med. 2009; 37(5):898-901. This finding reinforces the impairment of knee function among our obese population. The Lysholm scale is a freely available measure that allows detection of changes following nonsurgical and surgical interventions. It is considered to have face validity by orthopedic surgeons. It also presents some flaws, because the items in the Lysholm scale are surgeon-derived, thus content validity from the patient's perspective cannot be assumed. The Lysholm scale was developed as a clinician-administered tool, which increases the potential for interviewer bias if the patient-reported outcome is applied as intended.3030 Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthritis Cartilage. 2016; 24(8):1317-29.

We found a significantly negative overall impact of morbid obesity on quality of life assessed by the SF-36 compared to the results observed in the general population. Compared to the SF-36 scores achieved in Brazil in a study by Cruz et al.,3434 Cruz LN, Fleck MP, Oliveira MR, Camey SA, Hoffmann JF, Bagattini AM, et al. Health-related quality of life in Brazil: normative data for the SF-36 in a general population sample in the south of the country. Cien Saude Colet. 2013; 18(7):1911-21. morbidly obese individuals presented significantly lower scores in all of the eight domains evaluated. Since obesity is strongly linked to several clinical comorbidities and also influences social-economical and psychological issues, this finding was expected. The results of the present study also signaled lower SF-36 scores than those observed in the general population in the United Kingdom.3535 Burholt V, Nash P. Short Form 36 (SF-36) Health Survey Questionnaire: normative data for Wales. J Public Health (Oxf). 2011; 33(4):587-603.

36 Bowling A, Bond M, Jenkinson C, Lamping DL. Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. J Public Health Med. 1999; 21(3):255-70.
-3737 Jenkinson C, Coulter A, Wright L. Short form 36 (SF 36) health survey questionnaire: normative data for adults of working age. BMJ. 1993; 306(6890):1437-40. Despite its wide availability and applicability, the SF-36 has also received some criticism, especially due to the possible social disability bias observed when it is obtained by means of personal interview, mainly in the mental, emotional, and vitality domains.3636 Bowling A, Bond M, Jenkinson C, Lamping DL. Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. J Public Health Med. 1999; 21(3):255-70. Moreover, the survey presents a low response rate in aged and cognitively impaired individuals.3838 Andresen EM, Gravitt GW, Aydelotte ME, Podgorski CA. Limitations of the SF-36 in a sample of nursing home residents. Age Ageing. 1999; 28(6):562-6. Nonetheless, its usage is currently widespread and it is considered a reliable tool to easily and objectively assess quality of life.3939 Barile JP, Horner-Johnson W, Krahn G, Zack M, Miranda D, DeMichele K, et al. Measurement characteristics for two health-related quality of life measures in older adults: the SF-36 and the CDC Healthy Days items. Disabil

This study has some limitations. First, the studied population was composed by a small number of individuals, which reduces the statistical impact of the results as well as does not make it possible to provide age and gender-related scores. Furthermore, since the study was not controlled, there was no possibility of comparison with a local matched population. The evaluation tools and questionnaires present the above cited limitations and caveats as well. Nonetheless, the findings in this study are still clearly indicative of the negative impact of obesity on physical functioning and overall quality of life. Further research, mainly in a controlled setting enrolling larger populations, is necessary to confirm these findings.

Conclusion

In our study, obesity led to significant loss of physical capacity, gait impairment, knee-related symptoms, and a negative impact on the overall quality of life.

  • Study conducted at Faculdade de Ciências Médicas, Universidade Estadual de Campinas (Unicamp), Campinas, SP, Brazil
  • Statement of informed consent Informed consent was obtained from all individual participants included in the study.
  • Statement of human and animal rights All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

References

  • 1
    World Health Organization (WHO). Global status report on noncommunicable diseases 2014. Geneva: WHO; 2014.
  • 2
    Wanigatunga AA, Sourdet SS, LaMonte MJ, Waring ME, Nassir R, Garcia L, et al. Physical impairment and body weight history in postmenopausal women: the Women's Health Initiative. Public Health Nutr. 2016; 19(17):3169-77.
  • 3
    Germain CM, Batsis JA, Vasquez E, McQuoid DR. Muscle strength, physical activity, and functional limitations in older adults with central obesity. J Aging Res. 2016; 2016:8387324.
  • 4
    Madigan M, Rosenblatt NJ, Grabiner MD. Obesity as a factor contributing to falls by older adults. Curr Obes Rep. 2014; 3(3):348-54.
  • 5
    Lang IA, Llewellyn DJ, Alexander K, Melzer D. Obesity, physical function, and mortality in older adults. J Am Geriatr Soc. 2008; 56(8):1474-8.
  • 6
    Pataky Z, Armand S, Müller-Pinget S, Golay A, Allet L. Effects of obesity on functional capacity. Obesity (Silver Spring). 2014; 22(1):56-62.
  • 7
    Du H, Newton PJ, Salamonson Y, Carrieri-Kohlman VL, Davidson PM. A review of the six-minute walk test: its implication as a self-administered assessment tool. Eur J Cardiovasc Nurs. 2009; 8(1):2-8.
  • 8
    Borg G, Ljunggren G, Ceci R. The increase of perceived exertion, aches and pain in the legs, heart rate and blood lactate during exercise on a bicycle ergometer. Eur J Appl Physiol Occup Physiol. 1985; 54(4):343-9.
  • 9
    Roos EM, Lohmander LS. The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis. Health Qual Life Outcomes. 2003; 1:64.
  • 10
    Tegner Y, Lysholm J. Rating systems in the evaluation of knee ligament injuries. Clin Orthop Relat Res. 1985; (198):43-9.
  • 11
    Brazier JE, Harper R, Jones NM, O'Cathain A, Thomas KJ, Usherwood T, et al. Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ. 1992; 305(6846):160-4.
  • 12
    ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002; 166(1):111-7.
  • 13
    Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002; 20(11):873-99.
  • 14
    Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee Injury and Osteoarthritis Outcome Score (KOOS) - development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998; 28(2):88-96.
  • 15
    Kocher MS, Steadman JR, Briggs KK, Sterett WI, Hawkins RJ. Reliability, validity, and responsiveness of the Lysholm knee scale for various chondral disorders of the knee. J Bone Joint Surg Am. 2004; 86-A(6):1139-45.
  • 16
    Peccin MS, Ciconelli R, Cohen M. Questionário específico para sintomas do joelho "Lysholm Knee Scoring Scale": tradução e validação para a língua portuguesa. Acta Ortop Bras. 2006; 14(5):268-72.
  • 17
    Laucis NC, Hays RD, Bhattacharyya T. Scoring the SF-36 in Orthopaedics: a brief guide. J Bone Joint Surg Am. 2015; 97(19):1628-34.
  • 18
    Ziegler B, Fernandes AK, Sanches PR, Konzen GL, Dalcin PT. Variability of the perception of dyspnea in healthy subjects assessed through inspiratory resistive loading. J Bras Pneumol. 2015; 41(2):143-50.
  • 19
    Burr JF, Bredin SS, Faktor MD, Warburton DE. The 6-minute walk test as a predictor of objectively measured aerobic fitness in healthy working-aged adults. Phys Sportsmed. 2011; 39(2):133-9.
  • 20
    Dufek JS, Currie RL, Gouws PL, Candela L, Gutierrez AP, Mercer JA, et al. Effects of overweight and obesity on walking characteristics in adolescents. Hum Mov Sci. 2012; 31(4):897-906.
  • 21
    Hergenroeder AL, Brach JS, Otto AD, Sparto PJ, Jakicic JM. The influence of body mass index on self-report and performance-based measures of physical function in adult women. Cardiopulm Phys Ther J. 2011; 22(3):11-20.
  • 22
    Heresi GA, Dweik RA. Strengths and limitations of the six-minute-walk test: a model biomarker study in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2011; 183(9):1122-4.
  • 23
    Joo KC, Brubaker PH, MacDougall A, Saikin AM, Ross JH, Whaley MH. Exercise prescription using resting heart rate plus 20 or perceived exertion in cardiac rehabilitation. J Cardiopulm Rehabil. 2004; 24(3):178-84; quiz 185-6.
  • 24
    Koonce RC, Bravman JT. Obesity and osteoarthritis: more than just wear and tear. J Am Acad Orthop Surg. 2013; 21(3):161-9.
  • 25
    Manek NJ, Hart D, Spector TD, MacGregor AJ. The association of body mass index and osteoarthritis of the knee joint: an examination of genetic and environmental influences. Arthritis Rheum. 2003; 48(4):1024-9.
  • 26
    Workgroup of the American Association of Hip and Knee Surgeons Evidence Based Committee. Obesity and total joint arthroplasty: a literature based review. J Arthroplasty. 2013; 28(5):714-21.
  • 27
    Blagojevic M, Jinks C, Jeffery A, Jordan KP. Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis. Osteoarthritis Cartilage. 2010; 18(1):24-33.
  • 28
    Sowers MR, Karvonen-Gutierrez CA. The evolving role of obesity in knee osteoarthritis. Curr Opin Rheumatol. 2010; 22(5):533-7.
  • 29
    Plotnikoff R, Karunamuni N, Lytvyak E, Penfold C, Schopflocher D, Imayama I, et al. Osteoarthritis prevalence and modifiable factors: a population study. BMC Public Health. 2015; 15:1195.
  • 30
    Collins NJ, Prinsen CA, Christensen R, Bartels EM, Terwee CB, Roos EM. Knee Injury and Osteoarthritis Outcome Score (KOOS): systematic review and meta-analysis of measurement properties. Osteoarthritis Cartilage. 2016; 24(8):1317-29.
  • 31
    Edwards C, Rogers A, Lynch S, Pylawka T, Silvis M, Chinchilli V, et al. The effects of bariatric surgery weight loss on knee pain in patients with osteoarthritis of the knee. Arthritis. 2012; 2012:504189.
  • 32
    Gudbergsen H, Boesen M, Lohmander LS, Christensen R, Henriksen M, Bartels EM, et al. Weight loss is effective for symptomatic relief in obese subjects with knee osteoarthritis independently of joint damage severity assessed by high-field MRI and radiography. Osteoarthritis Cartilage. 2012; 20(6):495-502.
  • 33
    Briggs KK, Steadman JR, Hay CJ, Hines SL. Lysholm score and Tegner activity level in individuals with normal knees. Am J Sports Med. 2009; 37(5):898-901.
  • 34
    Cruz LN, Fleck MP, Oliveira MR, Camey SA, Hoffmann JF, Bagattini AM, et al. Health-related quality of life in Brazil: normative data for the SF-36 in a general population sample in the south of the country. Cien Saude Colet. 2013; 18(7):1911-21.
  • 35
    Burholt V, Nash P. Short Form 36 (SF-36) Health Survey Questionnaire: normative data for Wales. J Public Health (Oxf). 2011; 33(4):587-603.
  • 36
    Bowling A, Bond M, Jenkinson C, Lamping DL. Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus Survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey. J Public Health Med. 1999; 21(3):255-70.
  • 37
    Jenkinson C, Coulter A, Wright L. Short form 36 (SF 36) health survey questionnaire: normative data for adults of working age. BMJ. 1993; 306(6890):1437-40.
  • 38
    Andresen EM, Gravitt GW, Aydelotte ME, Podgorski CA. Limitations of the SF-36 in a sample of nursing home residents. Age Ageing. 1999; 28(6):562-6.
  • 39
    Barile JP, Horner-Johnson W, Krahn G, Zack M, Miranda D, DeMichele K, et al. Measurement characteristics for two health-related quality of life measures in older adults: the SF-36 and the CDC Healthy Days items. Disabil

Publication Dates

  • Publication in this collection
    Feb 2017

History

  • Received
    14 June 2016
  • Accepted
    26 June 2016
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