Literature DB >> 26487293

Prevalence of chronic low back pain: systematic review.

Rodrigo Dalke Meucci1, Anaclaudia Gastal Fassa2, Neice Muller Xavier Faria3.   

Abstract

OBJECTIVE: To estimate worldwide prevalence of chronic low back pain according to age and sex.
METHODS: We consulted Medline (PubMed), LILACS and EMBASE electronic databases. The search strategy used the following descriptors and combinations: back pain, prevalence, musculoskeletal diseases, chronic musculoskeletal pain, rheumatic, low back pain, musculoskeletal disorders and chronic low back pain. We selected cross-sectional population-based or cohort studies that assessed chronic low back pain as an outcome. We also assessed the quality of the selected studies as well as the chronic low back pain prevalence according to age and sex.
RESULTS: The review included 28 studies. Based on our qualitative evaluation, around one third of the studies had low scores, mainly due to high non-response rates. Chronic low back pain prevalence was 4.2% in individuals aged between 24 and 39 years old and 19.6% in those aged between 20 and 59. Of nine studies with individuals aged 18 and above, six reported chronic low back pain between 3.9% and 10.2% and three, prevalence between 13.1% and 20.3%. In the Brazilian older population, chronic low back pain prevalence was 25.4%.
CONCLUSIONS: Chronic low back pain prevalence increases linearly from the third decade of life on, until the 60 years of age, being more prevalent in women. Methodological approaches aiming to reduce high heterogeneity in case definitions of chronic low back pain are essential to consistency and comparative analysis between studies. A standard chronic low back pain definition should include the precise description of the anatomical area, pain duration and limitation level.

Entities:  

Mesh:

Year:  2015        PMID: 26487293      PMCID: PMC4603263          DOI: 10.1590/S0034-8910.2015049005874

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


INTRODUCTION

Low back pain is a common condition affecting many individuals at some point in their lives. The estimation is that between 5.0% and 10.0% of cases will develop chronic low back pain (CLBP), which is responsible for high treatment costs, sick leave, and individual suffering,- in addition to being one of the main reasons for people to seek health care services., Although CLBP is highly disabling, information about its prevalence and associated factors are scattered in the literature. Most results are presented in a secondary way in studies evaluating several musculoskeletal outcomes simultaneously. Moreover, we found great variability among studies as to the characterization of chronic and low back pain. A systematic review of the global prevalence of low back pain included a summary prevalence of chronic low back pain. However, the prevalence estimates found by the authors were based on studies with great variability concerning anatomical characterization of the low back region. Thus, the included studies have definitions according to which back and/or neck pain were considered low back pain. This lack of standardization disregard specificities of the cervical, thoracic and lumbar spine as well as the attempts in the literature to standardize low back pain studies. The objective of this review was to estimate the worldwide chronic low back pain prevalence according to age and sex.

METHODS

We consulted electronic databases without any restrictions regarding language or year of publication, and the final database search took place on June 8, 2014. We searched terms as words to broad the number of references retrieved. The search strategy varied according to the database, as follows: Medline: back pain [Mesh] AND prevalence [Mesh], chronic musculoskeletal pain prevalence, rheumatic low back pain, musculoskeletal disorders low back pain prevalence, chronic low back pain AND prevalence; LILACS: back pain AND prevalence, chronic musculoskeletal pain prevalence, rheumatic low back pain, musculoskeletal disorders low back pain prevalence, chronic low back pain AND prevalence; EMBASE: back pain AND prevalence, chronic musculoskeletal pain prevalence, rheumatic low back pain, musculoskeletal disorders low back pain prevalence, “chronic low back pain” AND “prevalence”. All references retrieved from the databases were exported to EndNote®. To identify duplicated studies, we used the EndNote® “find duplicates” tool configured to compare titles and authors from the retrieved references, and manually excluded duplicates not identified by the program. In the review, we excluded publications with titles that enabled the identification of studies conducted with specific populations such as students, occupational groups or individuals with specific illnesses as well as literature reviews. In the following stage, we read the abstracts. Those that enabled the identification of literature reviews or studies assessing musculoskeletal outcomes other than chronic low back pain and studies using convenience samples were also excluded. After the abstracts, the studies selected were read and excluded if they assessed occupational groups, used convenience samples, or if they lack definition on the anatomical location of low back pain or the period of time determining pain as being chronic. Studies assessing chronic low back pain in individuals with low back pain, which provide insufficient information to calculate the prevalence of this outcome in the entire sample, were also excluded. The searches focused on population-based or cohort studies evaluating CLBP prevalence. Only studies with a clear definition of low back pain and time criteria for pain chronicity were selected. We identified the following characteristics of the selected studies: country, response rate, number of individuals evaluated/interviewed, age group, low back pain definition, use of human body drawings, and chronic pain definition. CLBP prevalence was then extracted and the confidence interval was calculated for those studies without information about it. The studies were evaluated according to a quality tool adapted from Hoy et al, which included eight items: sample representativeness, sample size estimates, census or random sampling process, non-respondent bias probability, primary data collection, validated questionnaire instrument, standardized data collection, and human body drawings (Table 1). A score index was built whereby a weighting of 0.2 was attributed to sample representativeness, census or random sample, and non-respondent bias probability. A weighting of 0.08 was attributed to the remaining five items, thus enabling a maximum score of 1. More weighting was attributed to those characteristics with greater potential of causing bias in chronic low back pain prevalence estimates.
Table 1

Chronic low back pain according to population-based studies.

Author (year)CountryDesignResponse rate
NMale
Female
Age or age groupDefinition of chronic painPrevalence
95%CI
%n%n%%
Hoddevik et al20 (1999)NorwayCS63.467,33831,84647.335,49252.740-42> 3 months2.01.9;2.1
Shiri et al38 (2008)FinlandCS76.02,5751,18546.01,39054.024-39Continuous pain in the last year4.23.4;5.0
Picavet et al36 (2000)NetherlandsCS50.022,41510,13245.212,28354.820-59> 3 months19.118.6;19.6
Palmer et al34 (2005)EnglandCS53.02,632Not reportedNot reportedNot reportedNot reported25-64> 6 months11.09.8;12.2
Hillman et al19 (1996)EnglandCS72.03,1841,43745.11,74754.925-64> 3 months10.29.1;11.3
Alkherayf et al1 (2009)CanadaCS78.973,50735,24247.938,26552.120-59Continuous pain > 6 months19.619.3;19.9
Picavet et al37 (2003)NetherlandsCS50.03,6641,64044.82,02455.2≥ 25> 3 months21.219.9;22.5
Heuch et al18 (2010a)NorwayCS69.063,96830,10247.133,86652.9≥ 20> 3 months23.623.3;23.9
Bjorck-Van Dijken et al6 (2008)SwedenCS69.35,798Not reportedNot reportedNot reportedNot reported25-79> 6 months16.415.5;17.4
Johannes et al24 (2010)USACS75.727,03510,35738.316,67861.7≥ 18> 6 months8.17.5;8.7
Carey et al8 (1995)USACS79.08,067Not reportedNot reportedNot reportedNot reported≥ 21> 3 months/or 24 episodes of pain in the last year3.93.5;4.3
Freburger et al14 (2009)USACS86.09,924Not reportedNot reportedNot reportedNot reported≥ 21> 3 months/or 24 episodes of pain in the last year10.29.6;10.8
Meucci et al29 (2013)Brazil (Pelotas)CS89.62,7321,15142.11,58157.9≥ 20≥ 7 weeks in the last 3 months9.68.3;10.8
Andersson5 (1994)SwedenCS90.01,60981750.879249.225-74> 3 months23.321.2;25.4
Silva et al39 (2004)Brazil (Pelotas)CS94.43,1821,37443.21,80856.8≥ 20≥ 7 weeks in the last 3 months4.23.5;5.0
Almeida et al2 (2008)Brazil (Salvador)CS97.12,2811,01644.51,26555.5≥ 20Continuous pain > 6 months14.713.3;16.2
Dellaroza et al9 (2013)Brazil (Sao Paulo)CS89.91,27151340.475859.6≥ 60Continuous pain > 6 months25.423.0;27.8
Omokhodion31 (2002)NigeriaCS10090045050.045050.020-85> 3 months7.05.3;8.7
Brattberg et al7 (1989)SwedenCS82.085739147.343652.718-84> 6 months20.317.6;23.0
Altinel et al3 (2008)TurkeyCS1002,03584141.31,19458.7≥ 19Continuous pain13.111.6;14.6
Park et al35 (1993)USACS87.044,23318,56242.025,67158.0≥ 18> 3 months6.76.4;7.0
Fujii et al15 (2012)JapanCSNot reported52,65026,77950.925,87149.120-794th degree low back pain lasting > 3 months at some time in life3.93.7;4.1
Jacobsson et al22 (1989)SwedenCS49.444523051.721548.350-69Pain > 6 weeks Rheumatologist’s diagnosis6.34.0;8.6
Liao et al26 (2009)ChinaCS88.710,9215,68752.15,23447.9≥ 16> 3 months1.00.8;1.2
Jimenez-Sanchez et al23 (2012)SpainCSNot reported12,1905,74247.16,44852.9≥ 16> 3 months11.110.5;11.7
Hagen et al16 (2011)NorwayCHUNT 2: 53.049,483Not reportedNot reportedNot reportedNot reported≥ 20> 3 months
HUNT 3: 54.050,839  HUNT 2: 22.722.4;23.0
Wave II:90 WI1,671  HUNT 3: 23.423.0;23.9
Van Oostrom et al32 (2011)NetherlandsCBaseline: 62.012,4052,68647.13,02052.926-65> 3 months or “pain always present” Definitions changed during follow-ups T1-T2Follow-up I: 17.4%
Follow-up I: 79.06,118  Follow-up II: 17.4%
Follow-up II: 75.04,917  Follow-up III: 19.9%
Follow-up III: 78.04,520  Incidence: No/No/No: 62.4% No/Yes/Yes or No/No/Yes: 10.8%
For analyses with data from all follow-ups5,706  Recurrence/Persistence: Yes/Yes/No or Yes/No/No: 10.3% Yes/No/Yes or No/Yes/No: 10.9% Yes/Yes/Yes: 5.6%
Waxman et al40 (2000)EnglandCBaseline: 76.03,184  25-64> 3 monthsBaseline: 6.3% Follow-up: 11.1%
Follow up: 70.01,455615 840 

CS: cross-sectional; C: cohort; HUNT: Nord-Trøndelag Health Study

CS: cross-sectional; C: cohort; HUNT: Nord-Trøndelag Health Study We reported this systematic review according to the PRISMA Statement.

RESULTS

We found twenty-eight studies that fulfilled the inclusion criteria, which were thus included in this review (Figure 1). Of the twenty-five original population-based cross-sectional studies, 13 were European,,-,-,,,,- five were North American (USA and Canada),,,,, four were South American (Brazil),,,, two were Asian (Japan and China), and one was African (Nigeria) (Table 1). The response rate was greater than 75.0% in fifteen studies. Two articles did not report the response rate (Table 1).
Figure 1

Selection process for studies of chronic low back pain prevalence.

Regarding studies using a population-based cohort design, a Norwegian study performed a census of the population aged over 20 in a given province and did not report the proportion of males and females. The other studies used random sampling of individuals of both sexes aged between 20 and 65., The follow-up rates of the cohort studies varied between 53.0% and 79.0% (Table 1). Thirteen of the population-based cross-sectional studies defined chronic pain as a period of continuous pain lasting more than three months; seven used a “over six months” criterion, two used continuous pain, two others used pain lasting for more than seven weeks, and one used pain lasting for more than six weeks. All three population-based cohort studies used the same criterion (pain lasting more than three months). Regarding the qualitative analysis of the reviewed papers, all studies achieved scores in their description of a census or random sampling process, primary data collection, and standardized data collection; 27 studies had representative samples of the target population; 19 studies had small non-respondent bias probability; only four articles described the sample size estimates; three papers evaluated the study questionnaire reliability; and 10 studies used human body drawings to locate low back pain (Table 2).
Table 2

Qualitative evaluation of the assessed studies.

StudyScore weight
Total score
0.20.080.20.20.080.080.080.08

Was the sampling frame a true or close representation of the target population?Was the sample size estimated?Was some form of random selection used to select the sample, OR, was a census undertaken?Was the likelihood of non-response bias minimal?Were data collected directly from the subjects (as opposed to a proxy)?Had the study instrument that measured the parameter of interest (e.g., CLBP prevalence) been tested for reliability and validity (if necessary)? Was data collection standard     ized? Was a human body drawing used?
Hoddevik et al20 (1999)YesNoYesNoYesNoYesNo0.56
Shiri et al38 (2008)YesNoYesYesYesNoYesYes0.84
Picavet et al36 (2000)YesNoYesNoYesNoYesYes0.64
Palmer et al34 (2005)YesNoYesNoYesNoYesNo0.56
Hillman et al19 (1996)YesNoYesNoYesYesYesYes0.72
Alkherayf et al1 (2009)YesNoYesYesYesNoYesNo0.76
Picavet et al37 (2003)YesNoYesNoYesNoYesYes0.64
Heuch et al18 (2010a)YesNoYesNoYesNoYesNo0.56
Bjorck-Van Dijken et al6 (2008)YesNoYesNoYesNoYesNo0.56
Johannes et al24 (2010)YesNoYesNoYesNoYesNo0.76
Carey et al8 (1995)YesNoYesYesYesNoYesNo0.76
Freburger et al14 (2009)YesNoYesYesYesNoYesNo0.76
Meucci et al29 (2013)YesYesYesYesYesNoYesYes0.92
Andersson5 (1994)YesNoYesYesYesYesYesYes0.92
Silva et al39 (2004)YesYesYesYesYesNoYesYes0.92
Almeida et al2 (2008)YesYesYesYesYesNoYesNo0.84
Dellaroza et al9 (2013)YesNoYesYesYesNoYesNo0.76
Omokhodion31 (2002)YesNoYesYesYesNoYesYes084
Brattberg et al7 (1989)YesNoYesYesYesNoYesNo0.76
Altinel et al3 (2008)YesYesYesYesYesNoYesNo0.84
Park et al35 (1993)YesNoYesYesYesNoYesNo0.76
Fujii et al15 (2012)YesNoYesYesYesNoYesYes0.84
Jacobsson et al22 (1989)YesNoYesNoYesNoYesNo0.56
Liao et al26 (2009)YesNoYesYesYesNoYesNo0.76
Jimenez-Sanchez et al23 (2012)YesNoYesYesYesNoYesNo0.76
Hagen et al16 (2011)YesNoYesYesYesYesYesNo0.64
Van Oostrom et al32 (2011)YesNoYesYesYesNoYesNo0.76
Waxman et al40 (2000)YesNoYesYesYesNoYesYes0.84

CLBP: chronic low back pain

CLBP: chronic low back pain According to the score index, nine studies scored between 0.56 and 0.64. The main reason for the low scores found by these studies were their high non-response rates. Eleven studies scored between 0.72 and 0.76. Most of these did not obtain scores for instrument validation, use of human body drawings, and sample size calculation. Eight studies scored between 0.84 and 0.92, and the items that resulted in these high scores were “use of medical manikin” or “human body drawing”, and “sample size calculation” (Table 2). Considering only cross-sectional population-based studies with response rates above 75.0%, CLBP prevalence was 4.2% in individuals aged 24 to 39 years and 19.6% in those aged 20 to 59. In six out of nine studies,,,,,,,, with individuals aged 18, 19, 20, 21 years or above, CLBP varied between 3.9% and 10.2%.,,,,, Three reported higher prevalence rates (13,1%, 14.7%, and 20.3%).,, CLBP prevalence was 23.3% in individuals aged 25 to 74 (Table 1) and 25.4% among older adults (≥ 60 years old). We found no difference in relation to CLBP prevalence at different periods of the year or in different places. Five studies with high response rates presented CLBP prevalence according to specific age groups.,,,,Figure 2 shows that CLBP prevalence rates are lower in younger individuals (aged 20 to 30 years), increasing from the third decade of life on, reaching the highest proportions between 50 and 60 years of age, and stabilizing in the seventh decade of life.
Figure 2

Chronic low back pain prevalence (CLBP) according to age (six estimates).

Two studies (Figure 2) showed that CLBP occurrence has doubled in recent years in North Carolina and in Pelotas in all age groups analysed., In five,,,, of nine,,,,,,,, studies with individuals (or older than) 18, 19, 20, or 21 years old and response rates above 75.0%, CLBP prevalence was around 50.0% higher in women than in men (Figure 3).
Figure 3

Chronic low back pain (CLBP) according to sex (nine estimates).

Only eight studies,,,,,,, evaluated CLBP prevalence using other independent variables. One study showed that CLBP prevalence is higher in white and black non-Hispanic individuals in relation to Hispanic individuals. Four studies showed that individuals with less schooling have more CLBP than those with more schooling.,,, Two studies found that individuals of lower economic status had higher CLBP prevalence than those of higher economic status., Six studies assessed CLBP prevalence using smoking as a variable. In all six studies, smokers had more CLBP than non-smokers.,,,,, Three studies,, found that obese individuals have more CLBP than eutrophic individuals (Table 3).
Table 3

Chronic low back pain according to other variables in population-based studies, except age and sex.

Author (year)VariablePrevalence
%95%CI%95%CI
Alkherayf et al1 (2009)Smoking statusDaily smokers (present or former): 23.3 Occasional smokers (present or former): 17.2 Non-smokers: 15.7 Analysis stratified by smoking status: CLBP prevalence was higher in daily smokers (present or former) in comparison to occasional smokers (present or former) and non-smokers in all variables assessed: sex, age, BMI, education and occupational status

Freburger et al14 (2009)Race/Ethnicity19922006
Non-Hispanic white: 4.13.5;4.7Non-Hispanic white: 10.59.4;11.5
Non-Hispanic black: 3.02.0;4.0Non-Hispanic black: 9.88.2;11.4
Other:4.11.4;6.8Hispanic: 6.33.8;8.9
  Other: 9.16.2;12.0

Meucci et al29 (2013) & Silva et al39 (2004)Education (years)20022010
0: 6.96.0;7.80: 14.39.7;18.9
1-4: 6.35.5;7.21-4: 13.010.2;15.7
5-8: 4.43.7;5.25-8: 9.77.5;11.9
9-11: 2.72.2;3.39-11: 8.15.9;10.2
≥ 12: 2.01.5;2.6≥ 12: 6.84.7;8.8
Economic statusA or B: 2.82.3;3.4A or B: 7.85.0;10.5
C: 4.63.9;5.4C: 9.07.4;10.5
D or E: 4.63.9;5.4D or E: 11.39.0;13.6
SmokingNever: 3.22.6;3.9Never: 8.06.6;9.4
Former smoker: 5.04.3;5.8Former smoker: 11.38.5;14.1
Smoker: 5.54.7;6.3Smoker: 11.59.2;13.9
BMI (kg/m2)≤ 19.9: 2.72.1;3.3≤ 19.9: 4.30.5;8.0
20-24.9: 3.42.8;4.120-24.9: 8.06.1;9.8
25-29.9: 4.13.4;4.925-29.9: 8.46.5;10.2
≥ 30.0: 6.25.7;7.1≥ 30.0: 14.211.5;16.9

Almeida et al2 (2008)SmokingNever: 12.2   
Former smoker: 19.7   
Smoker: 17.6   
Marital statusMarried or partner: 15.9   
Single: 9.5   
Widow or divorced: 20.6   

Fujii15 (2012)SmokingNo CLBP CLBP 
Ever smoked: 52.4 Ever smoked: 42.6 
EducationCollege: 49.4 College: 40.8 

Jimenez-Sanchez et al23 (2012)EducationMale Female 
No studies: 9.76.9;13.5No studies: 20.116.7;24.0
Primary: 9.98.7;11.2Primary: 17.115.7;18.6
Secondary:6.65.4;7.9Secondary: 10.79.3;12.3
Marital statusSingle: 4.33.4;5.4Single: 7.76.5;9.1
Married: 9.58.6;10.6Married: 15.514.3;16.8
Divorced or widowed: 10.57.2;15.1Divorced or widowed: 20.418.0;23.0

Van Oostromet al32 (2011) Analysis stratified by 3 patterns of low back pain: never long-standing LBP; persistent LBP over 10 years; varying LBP. Individuals with persistent LBP were less educated, have less paid job, were more obese, and predominantly smokers.

CS: cross-sectional; C: cohort; LBP: low back pain; BMI: Body Mass Index; CLBP: Chronic Low Back Pain.

CS: cross-sectional; C: cohort; LBP: low back pain; BMI: Body Mass Index; CLBP: Chronic Low Back Pain. According to the population-based cohort studies, CLBP prevalence was of 6.3% in England and 23.0% in Norway.,, CLBP incidence in at least one follow-up session was 10.8%, whereas persistence in all three follow-up sessions was 5.6% (Table 1).

DISCUSSION

Almost half the studies included in this systematic review had a response rate lower than 75.0%. The criteria for chronic low back pain case definition are heterogeneous. The most common criterion was continuous pain for a period equal to or greater than three months. Based on our qualitative evaluation, around one third of the studies obtained low scores, mainly due to high non-response rates. CLBP prevalence varied according to the age ranges in the studies and was around three to four times higher in individuals aged over 50 compared to those aged 18 to 30. Females, people of lower economic status, those with less schooling, and smokers had higher CLBP prevalence compared to males, people with higher economic status, those with more schooling, and non-smokers, respectively. In relation to the quality of the studies, the instrument used showed that the main characteristic that reduced their score was the high rate of non-respondents. This limitation makes clear the challenge to reduce the proportion of non-respondents in population-based studies, especially in countries where postal surveys are used. The instrument used included eight evaluation questions contemplating most items applicable to observational studies on the checklist proposed by Downs and Black, mainly concerning sample representativeness. In this review, we attributed more weight to these items. Two studies indicated that CLBP prevalence doubled over time., This might reflect important changes in lifestyle and in the world of work. The intensive use of computers at work and at home as well as other technologies has increased sedentariness – a risk factor for chronic and acute low back pain due to muscle weakness., Obesity is also related to lifestyle and is a known risk factor for CLBP as it promotes overloading of the articular structures of lumbosacral spine, which become predisposed to degeneration. The increase in CLBP prevalence among individuals aged 30 to 60 may also be related to occupational and domestic exposures that overload the low back along with the degenerative articular process shown after 30 years of age. Although CLBP stabilizes or reduces from the seventh decade of life on, its prevalence remains high when compared to younger individuals (aged 20-30). This reduction among older people may be due to reduced exposure to occupational and everyday activities that increase the risk for CLBP.,,,, The literature also suggests that older adults are more resilient to pain due to factors related to ageing, such as cognitive impairment and decreased pain perception. The mechanism whereby females have consistently higher CLPB prevalence is partially known.,,,,,,, This might be related to women’s exposure to musculoskeletal loads due to pregnancy, child care, and double workday (domestic tasks plus paid work). Furthermore, physiological characteristics such as less muscle and bone mass as well as psychological factors may contribute to higher CLBP prevalence among them. Higher CLBP prevalence in individuals with less income and less schooling may be related to inferior living and working conditions, which can lead them to jobs that have greater risk to the lumbar spine. Regarding the higher proportion of CLBP among smokers, this is caused by the systemic effects of nicotine on the joints of the spine, accelerating the joint degeneration process, and increasing the potential of transmission of pain impulses in the central nervous system., According to the literature, overweight or obese individuals are subject to greater loads on the lumbar spine, thus favoring the development of chronic pain in this region., Hoy et al made a valuable contribution to low back pain studies and estimated a summary prevalence of CLBP of 20.1% (SD = 9.8). However, these results should be critically evaluated given that this prevalence estimation included inaccurate outcome definitions such as back and neck as synonyms for low back. Our systematic review used a stricter definition of CLBP for low back location. Moreover, having CLBP as a primary focus of interest allowed more in-depth discussion on its specificities, which are usually dispersed among time periods of varying durations estimating how recently pain occurred. Although this systematic review only included studies with a precise definition of low back pain regarding its anatomical location, heterogeneity in chronic pain definition may have influenced the prevalence rates reported, and this is therefore a limitation to our study. Similarly, since CLBP is frequently a secondary outcome, little information are available about its prevalence to other covariables and this is a significant gap in knowledge regarding CLBP. Moreover, the lack of standardized methods between studies about the subject hinders the evaluation of occurrence measurements and CLBP associated factors in observational studies, as well as the evaluation of the treatment efficacy for this problem. Therefore, methodological approaches aiming to reduce high heterogeneity are key to provide consistency and comparative analysis between different studies, systematic reviews, and meta-analysis. A standard CLBP definition should include the anatomical area of reference, period of pain evaluation, limitation level, and proper differentiation between acute and CLBP. These recommendations are in keeping with the recent National Institute of Health (NIH) Pain Consortium Task Force on research standards for CLBP, which defined this outcome as a back pain problem that has persisted for at least three months and has resulted in pain on at least half the days in the past six months. NIH suggested a minimum data set for evaluating CLBP, which includes a human body drawing showing the lumbar spine, as well as studying limitations in everyday activities arising from CLBP. Moreover, CLBP studies need some improvement in developing countries and other regions, given that the large concentration of studies in European countries shows higher CLBP prevalence in older populations, mainly in Caucasian individuals with better living conditions.
  39 in total

1.  Cost-benefit and cost-effectiveness analysis of a disability prevention model for back pain management: a six year follow up study.

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2.  [Chronic low back pain in a Southern Brazilian adult population: prevalence and associated factors].

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Journal:  Cad Saude Publica       Date:  2004-04-06       Impact factor: 1.632

3.  Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC(3)-study.

Authors:  H S J Picavet; J S A G Schouten
Journal:  Pain       Date:  2003-03       Impact factor: 6.961

4.  Health conditions among the currently employed.

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Journal:  Vital Health Stat 10       Date:  1993-07

5.  The commonest rheumatic complaints of over six weeks' duration in a twelve-month period in a defined Swedish population. Prevalences and relationships.

Authors:  L Jacobsson; F Lindgärde; R Manthorpe
Journal:  Scand J Rheumatol       Date:  1989       Impact factor: 3.641

6.  The impact of body mass index on the prevalence of low back pain: the HUNT study.

Authors:  Ingrid Heuch; Knut Hagen; Ivar Heuch; Øystein Nygaard; John-Anker Zwart
Journal:  Spine (Phila Pa 1976)       Date:  2010-04-01       Impact factor: 3.468

7.  An epidemiological survey of low back pain and axial spondyloarthritis in a Chinese Han population.

Authors:  Z T Liao; Y F Pan; J L Huang; F Huang; W J Chi; K X Zhang; Z M Lin; Y Q Wu; W Z He; J Wu; X J Xie; J X Huang; Q J Wei; T W Li; Z Wu; B Y Yu; J R Gu
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8.  [Prevalence of diagnosed chronic disorders in the immigrant and native population].

Authors:  María D Esteban-Vasallo; M Felicitas Domínguez-Berjón; Jenaro Astray-Mochales; Ricard Gènova-Maleras; Aurelio Pérez-Sania; Luis Sánchez-Perruca; Marta Aguilera-Guzmán; Francisco J González-Sanz
Journal:  Gac Sanit       Date:  2009-08-03       Impact factor: 2.139

9.  The prevalence of pain in a general population. The results of a postal survey in a county of Sweden.

Authors:  Gunilla Brattberg; Mats Thorslund; Anders Wikman
Journal:  Pain       Date:  1989-05       Impact factor: 6.961

10.  The epidemiology of chronic pain in a Swedish rural area.

Authors:  H I Andersson
Journal:  Qual Life Res       Date:  1994-12       Impact factor: 4.147

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  148 in total

1.  The Canadian minimum dataset for chronic low back pain research: a cross-cultural adaptation of the National Institutes of Health Task Force Research Standards.

Authors:  Anaïs Lacasse; Jean-Sébastien Roy; Alexandre J Parent; Nioushah Noushi; Chúk Odenigbo; Gabrielle Pagé; Nicolas Beaudet; Manon Choinière; Laura S Stone; Mark A Ware
Journal:  CMAJ Open       Date:  2017-03-10

2.  A Simple Scale for Screening Lower-Extremity Arterial Disease as a Possible Cause of Low Back Pain: a Cross-sectional Study Among 542 Subjects.

Authors:  M Gahier; J Hersant; J F Hamel; Y Sempore; A Bruneau; S Henni; P Abraham
Journal:  J Gen Intern Med       Date:  2020-05-04       Impact factor: 5.128

3.  Health-care utilisation for low back pain: a systematic review and meta-analysis of population-based observational studies.

Authors:  Getahun Kebede Beyera; Jane O'Brien; Steven Campbell
Journal:  Rheumatol Int       Date:  2019-08-28       Impact factor: 2.631

4.  Coping and Management Techniques Used by Chronic Low Back Pain Patients Receiving Treatment From Chiropractors.

Authors:  Cathy D Sherbourne; Gery W Ryan; Margaret D Whitley; Carlos I Gutierrez; Ron D Hays; Patricia M Herman; Ian D Coulter
Journal:  J Manipulative Physiol Ther       Date:  2019-11-23       Impact factor: 1.437

5.  Opioid-involved prescription drug misuse and poly-prescription drug misuse in U.S. older adults.

Authors:  Ty S Schepis; Jason A Ford; Linda Wastila; Sean Esteban McCabe
Journal:  Aging Ment Health       Date:  2020-11-02       Impact factor: 3.658

Review 6.  Cell therapy for intervertebral disc herniation and degenerative disc disease: clinical trials.

Authors:  Jordy Schol; Daisuke Sakai
Journal:  Int Orthop       Date:  2018-11-29       Impact factor: 3.075

7.  Sex and Race Differences in Pain Sensitization among Patients with Chronic Low Back Pain.

Authors:  Samantha M Meints; Victor Wang; Robert R Edwards
Journal:  J Pain       Date:  2018-07-17       Impact factor: 5.820

8.  Characteristics of Chiropractic Patients Being Treated for Chronic Low Back and Neck Pain.

Authors:  Patricia M Herman; Mallika Kommareddi; Melony E Sorbero; Carolyn M Rutter; Ron D Hays; Lara G Hilton; Gery W Ryan; Ian D Coulter
Journal:  J Manipulative Physiol Ther       Date:  2018-08-16       Impact factor: 1.437

9.  Noninvasive multimodal fluorescence and magnetic resonance imaging of whole-organ intervertebral discs.

Authors:  Wuwei Ren; Shangbin Cui; Mauro Alini; Sibylle Grad; Quanyu Zhou; Zhen Li; Daniel Razansky
Journal:  Biomed Opt Express       Date:  2021-05-07       Impact factor: 3.732

10.  Pain-related anxiety, sex, and co-use of alcohol and prescription opioids among adults with chronic low back pain.

Authors:  Lisa R LaRowe; Jessica M Powers; Lorra Garey; Andrew H Rogers; Michael J Zvolensky; Joseph W Ditre
Journal:  Drug Alcohol Depend       Date:  2020-07-10       Impact factor: 4.492

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