Literature DB >> 15967048

Is obesity a risk factor for low back pain? An example of using the evidence to answer a clinical question.

Timothy A Mirtz1, Leon Greene.   

Abstract

BACKGROUND: Obesity as a causal factor for low back pain has been controversial with no definitive answer to this date. The objective of this study was to determine whether obesity is associated with low back pain. In addition this paper aims to provide a step-by-step guide for chiropractors and osteopaths on how to ask and answer a clinical question using the literature.
METHODS: A literature review using the MEDLINE search engine using the keywords "obesity", "low back pain", "body mass index" "BMI" and "osteoarthritis" from years 1990 to 2004 was utilised. The method employed is similar to that utilised by evidence-based practice advocates.
RESULTS: The available data at this time is controversial with no clear-cut evidence connecting low back pain with obesity.
CONCLUSION: There is a lack of a clear dose-response relationship between body mass index (BMI) and low back pain. Further, studies on the relationship between obesity and related lumbar osteoarthritis, knee pain, and disc herniation are also problematic.There is little doubt that future studies with controlled variables are needed to determine the existence of an unambiguous link, if any.

Entities:  

Year:  2005        PMID: 15967048      PMCID: PMC1151650          DOI: 10.1186/1746-1340-13-2

Source DB:  PubMed          Journal:  Chiropr Osteopat        ISSN: 1746-1340


Introduction

Obesity is a problem of epidemic proportion [1,2]. Despite record rates of non-physician supervised dieting and the availability of numerous weight loss programs, the problem is not abating [3]. Complicating this, is that most primary care physicians do not treat obesity, citing a lack of time, resources, insurance reimbursement, and knowledge of effective interventions as significant barriers [4]. Musculoskeletal disorders including low back pain (LBP) represent a considerable public health problem and a common diagnosis creating absenteeism and the need for disability pensions [5]. It is estimated that about 80% of the United States and Canadian population will experience LBP during adulthood [6]. Most low back pain is self-limiting and will ultimately resolve in two weeks (50% of those affected) to six weeks (90% of those affected), however it remains an intriguing clinical problem [6]. It is widely noted that the economic cost of obesity and its related disorders are staggering, with lifestyle related conditions such as diabetes mellitus and coronary heart disease placing a large economic burden on the health care system [1-4]. However, low back pain also has a significant socioeconomic impact. Cost estimates range from US$20 billion to $50 billion annually, with 10% of the patients accounting for 85 to 90% of the costs [6]. In Australia, Walker et al estimated the cost of low back pain in 2001 alone to be AUD$9.17 billion [7]. One question, which arises from the discussion concerning obesity, is whether obesity is a risk factor for low back pain. "Buckwalter et al contended that a number of medical conditions including obesity, along with diabetes and hypertension, may influence the pathophysiology of diseases of the tendons and ligaments during the process of aging thus potentially leading to low back pain [8]. Along with low back pain, the conventional wisdom is that overweight persons are at risk of osteoarthritis in weight-bearing joints such as the knee, the hips, and feet [9]. To date, literature reviews have given conflicting views based on the available data and method of data retrieval. The purpose of this review is to establish, from recent research, if there is a causal link between obesity and the affliction of low back pain. A secondary purpose of this review is to present the concepts of evidence-based practice to aid the chiropractor or osteopath in looking for health-related evidence for their patients who present with obesity.

Methods

A MEDLINE search, from the National Library of Medicine, was used to ascertain pertinent articles between the years 1990 and 2004. The use of keywords "obesity", "body mass index", "BMI" and "low back pain" was used to obtain relevant studies. The references of papers retrieved were also reviewed, as were key texts and references. This section is devoted to presenting the concepts of evidence-based practice (EBP) to demonstrate to the reader the discovery process for finding a possible link between obesity and low back pain. The EBP method used is shown in Table 1.
Table 1

Steps to asking the answerable question using EBP principles

Step 1: Asking an answerable question
Step 2: Selecting an evidence resource
Step 3: Executing the search strategy
Step 4: Examining the evidence summary
Step 5: Application of the evidence
Steps to asking the answerable question using EBP principles The first step in this process is "asking an answerable question." In this paper we assume a patient has asked whether being overweight can cause low back pain. Construction of an appropriate answerable question would possibly be "Does an increased BMI cause low back pain?" "Does being overweight create osteoarthritis?" In this way questions can be constructed to allow the practitioner to effectively answer a clinical concern. Once the answerable question has been constructed the next task is to find an adequate resource. Internet access to the U.S. National Library of Medicine's MEDLINE or PUBMED, these database systems are considered by many experts to be the most up to date data source on medically related topics. The next step is to determine keywords to place in the search engine. From the answerable question(s) it can be appreciated that the initial keywords will be "low back pain", "BMI" and "osteoarthritis." This search constitutes the third step. In initiating the search, one should look for the search engines "limits" area. In this area can one designate an age group (ex: 45 to 60 years), date span of the literature search, (ex: 1998 to 2003), and to select either English language or articles in foreign languages. Once the search has been completed, the articles, which may answer the question, are isolated and can be read. Step four involves collating the evidence to answer the question. In searches one may find answers that were not known to exist, and information that may challenge an already preconceived notion. The evidence summary should list the main author and year the paper was published. This is in order to retrieve the data should anyone wish to examine the source. As an example of an evidence summary see Table 2.
Table 2

Recent evidence: Obesity and low back pain (chronological order)

Author, Year (Ref)NBMILBPAssociation
Melissas, 2003 [14]50>4058%direct
Bener, 2003 [10]802(26.4 males/ 27.8 females)56.1% males
73.8% femalesmoderate
Tsuritani, 2002 [16]709--40.3%none
Bowerman, 2001 [4]252--29.2%none
Kostova, 2001 [12]898----increased risk
Bayramoglu, 2001 [15]25----direct
Mortimer, 2001 [13]47530 (43.6%)
31–40 (28.8%)
40+ (1.3%)--increased risk
Han, 1997 [11] 7018 women5887 men NR--females increased risk

N = number; BMI = body mass index; LBP = low back pain; NR = not reported

Recent evidence: Obesity and low back pain (chronological order) N = number; BMI = body mass index; LBP = low back pain; NR = not reported It is at this time that the clinician is ready for the final step of applying the evidence. In our example clinical data from the experimental literature may or may not indicate that there is a link between overweight and low back pain.

Results

The literature search into obesity and joint pain revealed several studies pertinent to the debate. Table 2 reveals an overview of the studies selected. Several studies [4,10-13] had large populations to draw from yet the data from these studies were not in agreement as to a cause or association. In fact, only two studies [14,15] found a direct association for obesity as a risk factor while two [4,16] studies found no association. Several of the studies reviewed were unable to clarify BMI to the satisfaction of the authors.

Discussion

Interest in the association between obesity and low back pain has piqued researchers interest for many years. Intuitively, a burgeoning waistline and an increased lordotic lumbar spine led researchers to conclude that overweight people would be more prone to low back pain. Historically, Kellgren and Lawrence (1958) found that that the prevalence of disk degeneration with obesity was not significant [17]. However, it was not until the mid-1970's when several studies observed a possible association. Obesity was found to increase the prevalence of disk degeneration significantly in a study by Magora and Schwartz in 1976 [18]. Barton et al (1976), in a review of 144 cases, found that 70% of those who complained of low back pain had been classified as being overweight [19]. This basic research appeared to conclude what was already intuitively thought about low back pain and increased weight.

Body mass index

Before an in-depth discussion of low back pain and obesity can ensue, the concept of Body Mass Index (BMI) needs to be discussed. BMI is a measure of fatness and is calculated by dividing the patient's weight in kilograms by height in metres squared kg/M2 [20]. It is widely accepted, easily measured, and predicts morbidity and mortality in many populations [15]. Obesity is generally defined as a BMI of 30 kg/m2 and higher [20,21]. Overweight is defined as a BMI between 25 and 30 kg/m2 [19,20]. Overweight tends to be more common in men with obesity being more prevalent among women [21]. When body weight is increased 20% above average, mortality rises to 20% for men and 10% for women [22]. (Table 3) Overweight individuals demand more from their cardio-respiratory and musculoskeletal systems [22]. It is known that more than 50% of adult Americans have a BMI equal to or greater than 25 [23]. Although there are certain limitations to BMI i.e. large muscular athletes who are in good cardiovascular shape, the rationale behind these numbers is that, across large population groups, there is an increased prevalence of certain diseases in people with a BMI over 25, and a much greater risk of disease and death in those with a BMI over 30 [4]. Being overweight or obese substantially raises the risk of developing hypertension, coronary heart disease, type 2 diabetes, stroke, gallbladder disease, sleep apnea and other respiratory problems, prostate and colon cancers [4,23]. Yet, the evidence to date linking it to low back pain is not as clear cut as it is with the previously stated pathologies.
Table 3

Clinically relevant differentiation between obesity and overweight

OverweightObesity
BMI of 25.0 to 29.9 kg/m2BMI greater than 30 kg/m2
Clinically relevant differentiation between obesity and overweight

BMI calculation without benefit of BMI charts

Body Mass Index (BMI) charts and hand held scales are available for individual clinician use. It is, however, unknown to what degree chiropractors or osteopaths use such tools. The following section is designed to aid the clinician with calculating BMI without benefit of chart or hand held scales. As noted earlier, BMI is calculated as weight in kilograms divided by height in square metres [20,24]. This method is often too difficult to calculate for most people. A simpler method for those using the imperial system of measures is to take body weight in pounds × 703/height in inches squared. For example, a person weighing 150 pounds at 6 foot tall would correspond to a BMI of 20.3. TABLE 4
Table 4

Calculation of BMI

150 × 703 = 105450 divided by 72 inches (6 foot) squared.
105450 divided by 5184 (72 × 72) = 20.3 BMI.
Calculation of BMI

Additional research findings

Leboeuf-Yde concluded from a review of the literature that due to lack of evidence, body weight should be considered a possible weak risk indicator and suggested that there is insufficient data to assess if it is a true cause of LBP [25]. Kostova found that in men over 40, overweight, obesity and number of pack years of smoking, estimated by duration of smoking and daily cigarette consumption (more than 20 years and more than 20 cigarettes per day), increased the risk of developing back disorders [12]. Despite these two studies, Garzillo et al and Leboeuf-Yde et al have given conflicting opinions [26,27]. Garzillo's review of the data revealed a possible association between obesity and low back pain only in the upper quintile of obesity, and no evidence of a temporal relationship between weight change and changes in low back pain [26]. Leboeuf-Yde concluded from a twin study that obesity is modestly positively associated with low back pain, in particular with chronic or recurrent low back pain [27]. What appears to be a main concern in linking obesity as a causal factor for low back pain is the numerous variables encountered in these subjects. For example, it is hypothesized that overweight adult females may have negative self-concepts and body images compounded by chronic low back pain and obesity, these may be confounding factors [28]. Other variables such as less activity and/or muscular weakness leading to obesity are also possible considerations.

Obesity and low back pain-related conditions

Not only is there controversy in obesity and low back pain, but there exists conflicting views of obesity and low back pain-related conditions such as spondylosis, decreased physical activities and discal herniation. The studies demonstrating a positive association are many. O'Neil et al noted that increasing BMI is associated with more frequent findings of osteophytes (bone spurs) at both the thoracic and lumbar spines [29]. The correlation of osteophytes and increased BMI is highest at the thoracic level [29]. Biering-Strenson et al noted absolute weight and BMI are significantly higher in persons 60 years of age with spondylosis [30]. Both men and women with BMI of 30 kg/m2 or higher were twice as likely to have difficulties in performing a range of basic daily physical activities [30]. Compared with women with BMI lower than 25 kg/m2, those with BMI of 30 kg/m2 or higher were 1.5 times more likely to have symptoms of intervertebral disk herniation [31]. Conversely, Luoma et al concluded that disc degeneration is not related to body height, overweight, smoking, or the frequency of physical activity [32]. In addition, studies by Riihimaki, Symmons, and Kang have shown no association between BMI and low back related problems [33-35]. Confounding the data is that the mechanism by which excess body weight causes osteoarthritis is poorly understood [9]. It is believed that contributions from both local increased force across the joint and systemic factors play a role [9]. A discriminating factor between fit and unfit patients with back pain may be the fact that fit persons more frequently are still employed, and as such may be involved more in physical activity [36]. Table 5 indicates where the research currently exists for the link between low back pain and obesity along with obesity and osteoarthritis.
Table 5

BMI-related risk of osteoarthritis and low back pain

If your BMI isthen your risk based solely on BMI
<25minimal
25 – <27minimal
27 – <30minimal
30 – <35moderate
35 – <40moderate
>40moderate to high
BMI-related risk of osteoarthritis and low back pain We conclude, based on the available evidence to date, that those individuals with a BMI of under 30 are at a minimal risk of developing low back pain while those persons whose BMI increases to over 30 are a moderate risk of developing low back pain. We also suggest, based on the findings of the Melissas study [14] of those patients who relieved their low back pain symptoms after obesity surgery, that patients with a BMI of greater than 40 are at a high risk of developing low back pain. Albeit controversial, Table 5 may lead to a further refinement of risk of osteoarthritis and low back pain based solely on BMI.

Limitations of obesity as a risk factor for low back pain

A significant difficulty in ascertaining cause and effect between obesity and low back pain is undoubtedly the term "low back pain" itself. Low back pain is a symptom not a diagnosis. A specific diagnosis, instead of the generalized form of "low back pain" may help separate out the association between LBP and obesity. The Agency for Health Care Policy and Research (AHCPR) in their 1995 Acute Low Back Problems in Adults noted common diagnoses used to explain back problems [37] (Table 6). Given these possible diagnoses one can readily appreciate the dilemma in attempting to link obesity with its specificity in measurement to a broad symptom such as low back pain.
Table 6

Common diagnoses used to explain back symptoms

Annular tearAdult spondylolysisMyofascitis
FibromyalgiaDisc syndromeStrain
SpondylosisLumbar disc diseaseFacet syndrome
Degenerative joint diseaseSprainSpinal OA
Disc derangement/disruptionDislocation
*Other potential causes of low back pain symptomology
Failed Back Surgery Syndrome*Osteoporosis*
Urinary tract infection*Compression fracture*
Somato-visceral mimicry syndrome*
Organic pathology (tumor, rheumatoid, endometriosis, arthritic disorders)*
Leg length inequity*Sacro-iliac dysfunction*
Hip disorder*
**Disagreement in research as cause of low back symptomology
Morbid obesity?**

OA = osteoarthritis

Common diagnoses used to explain back symptoms OA = osteoarthritis Another problem is the hypothesis that a person who suffers with continuing bouts of low back pain may be predisposed, due to inactivity or inability to exercise, to gain weight thus increasing their BMI. This hypothesis to our knowledge, has yet to be fully discussed and investigated.

Conclusion

The data for a link between obesity and low back pain appears to be controversial. Yet, this does not adequately address the appropriate therapeutic approach to the obese patient with low back pain. The studies chosen for this review fail to document a definitive causal link between obesity and low back pain. Further research and epidemiologic data is needed to continue the search for a definitive answer.

Competing interests

The author(s) declare that they have no competing interests.
  33 in total

1.  Low back pain and lifestyle. Part II--Obesity. Information from a population-based sample of 29,424 twin subjects.

Authors:  C Leboeuf-Yde; K O Kyvik; N H Bruun
Journal:  Spine (Phila Pa 1976)       Date:  1999-04-15       Impact factor: 3.468

2.  Compounded problem: chronic low back pain and overweight in adult females.

Authors:  S Popkess-Vawter; B Patzel
Journal:  Orthop Nurs       Date:  1992 Nov-Dec       Impact factor: 0.913

3.  Low back pain in the primary care setting.

Authors:  J E Barton; R O Haight; D W Marsland; T E Temple
Journal:  J Fam Pract       Date:  1976-08       Impact factor: 0.493

Review 4.  Obesity as an epidemic: facing the challenge.

Authors:  A M Coulston
Journal:  J Am Diet Assoc       Date:  1998-10

5.  Predictors of sciatic pain among concrete reinforcement workers and house painters--a five-year follow-up.

Authors:  H Riihimäki; G Wickström; K Hänninen; T Luopajärvi
Journal:  Scand J Work Environ Health       Date:  1989-12       Impact factor: 5.024

Review 6.  Assessing obesity: classification and epidemiology.

Authors:  J C Seidell; K M Flegal
Journal:  Br Med Bull       Date:  1997       Impact factor: 4.291

7.  A longitudinal study of back pain and radiological changes in the lumbar spines of middle aged women. I. Clinical findings.

Authors:  D P Symmons; A M van Hemert; J P Vandenbroucke; H A Valkenburg
Journal:  Ann Rheum Dis       Date:  1991-03       Impact factor: 19.103

Review 8.  Disuse and deconditioning in chronic low back pain: concepts and hypotheses on contributing mechanisms.

Authors:  Jeanine A Verbunt; Henk A Seelen; Johan W Vlaeyen; Geert J van de Heijden; Peter H Heuts; Kees Pons; J Andre Knottnerus
Journal:  Eur J Pain       Date:  2003       Impact factor: 3.931

Review 9.  Does obesity cause low back pain?

Authors:  M J Garzillo; T A Garzillo
Journal:  J Manipulative Physiol Ther       Date:  1994 Nov-Dec       Impact factor: 1.437

10.  Low back pain in Australian adults: the economic burden.

Authors:  B F Walker; R Muller; W D Grant
Journal:  Asia Pac J Public Health       Date:  2003       Impact factor: 1.399

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1.  Risk factors associated with chronic low back pain in Syria.

Authors:  Mohammad Salem Alhalabi; Hassan Alhaleeb; Sarah Madani
Journal:  Avicenna J Med       Date:  2015 Oct-Dec

2.  Are obesity and body fat distribution associated with low back pain in women? A population-based study of 1128 Spanish twins.

Authors:  Amabile B Dario; Manuela L Ferreira; Kathryn Refshauge; Juan F Sánchez-Romera; Alejandro Luque-Suarez; John L Hopper; Juan R Ordoñana; Paulo H Ferreira
Journal:  Eur Spine J       Date:  2015-06-18       Impact factor: 3.134

3.  Evaluation of metabolic syndrome in patients with chronic low back pain.

Authors:  Mehmet Tuncay Duruöz; Yasemin Turan; Alev Gürgan; Hülya Deveci
Journal:  Rheumatol Int       Date:  2010-12-05       Impact factor: 2.631

4.  The impact of lumbar scoliosis on pain, function and health-related quality of life in postmenopausal women.

Authors:  Julio Urrutia; Julio Espinosa; Claudio Diaz-Ledezma; Carlos Cabello
Journal:  Eur Spine J       Date:  2011-05-03       Impact factor: 3.134

5.  Differences in comorbidities on low back pain and low back related leg pain.

Authors:  Adam Goode; Chad Cook; Christopher Brown; Robert Isaacs; Matthew Roman; William Richardson
Journal:  Pain Pract       Date:  2011 Jan-Feb       Impact factor: 3.183

Review 6.  The role of exercise and types of exercise in the rehabilitation of chronic pain: specific or nonspecific benefits.

Authors:  Amy Burleson Sullivan; Judith Scheman; Deborah Venesy; Sara Davin
Journal:  Curr Pain Headache Rep       Date:  2012-04

7.  A correlation between low back pain and associated factors: a study involving 772 patients who had undergone general physical examination.

Authors:  Min A Kwon; Woo Seok Shim; Myung Hee Kim; Mi Sook Gwak; Tae Soo Hahm; Gaab Soo Kim; Chung Su Kim; Yoon Ho Choi; Jeong Heon Park; Hyun Sung Cho; Tae Hyeong Kim
Journal:  J Korean Med Sci       Date:  2006-12       Impact factor: 2.153

8.  Effect of obesity and low back pain on spinal mobility: a cross sectional study in women.

Authors:  Luca Vismara; Francesco Menegoni; Fabio Zaina; Manuela Galli; Stefano Negrini; Paolo Capodaglio
Journal:  J Neuroeng Rehabil       Date:  2010-01-18       Impact factor: 4.262

9.  The greatest risk for low-back pain among newly educated female health care workers; body weight or physical work load?

Authors:  Jette Nygaard Jensen; Andreas Holtermann; Thomas Clausen; Ole Steen Mortensen; Isabella Gomes Carneiro; Lars Louis Andersen
Journal:  BMC Musculoskelet Disord       Date:  2012-06-06       Impact factor: 2.362

10.  Skew-symmetric Random Effect Models with Application to a Preventive Cohort Study: Improving Outcomes in Low Back Pain Patients.

Authors:  Marjan Mansourian; Zahra Mahdiyeh; Jongbae J Park; Shaghayegh Haghjooyejavanmard
Journal:  Int J Prev Med       Date:  2013-03
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