| Literature DB >> 17976240 |
Quinette A Louw1, Linzette D Morris, Karen Grimmer-Somers.
Abstract
BACKGROUND: Low back pain (LBP) is the most prevalent musculoskeletal condition and one the most common causes of disability in the developed nations. Anecdotally, there is a general assumption that LBP prevalence in Africa is comparatively lower than in developed countries. The aim of this review was to systematically appraise the published prevalence studies conducted on the African continent to establish the prevalence of LBP in Africa.Entities:
Mesh:
Year: 2007 PMID: 17976240 PMCID: PMC2198912 DOI: 10.1186/1471-2474-8-105
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
The critical appraisal tool [8]
Hierarchy of evidence [18]
| Level 1 | Meta-analysis of randomized controlled clinical trials |
| Level 2a | One randomized controlled clinical trial (RCT) |
| Level 2b | One non-randomized, or non-controlled, or non-blinded clinical trial |
| Level 3 | Observational studies |
| Level 4 | Pre-post test clinical trials |
| Level 5 | Descriptive studies |
| Level 6 | Anecdotal evidence |
Figure 1Database search results.
Summary of reviewed studies (Q = questionnaire, E = examination, NM = not mentioned, F = female, M = male
| Mulimba 199019 | Nairobi | Retrospective | E | Urban | Private clinic | 2201 | Ortho patients | 11–75 | F/M | NM |
| Bezzaoucha 199221 | Algiers | Survey | Q | Rural | Community | 6956 | Residents | 15 + | F/M | NM |
| Bwanahali et al 199222 | Zaire | Retrospective | Q | Rural | Hospital | 169 | OPD patients | F/M | NM | |
| Harris 199320 | South Africa | Survey | Q | Urban | Clubs | 110 | Cricketers | 15–35 | M | 90 |
| Schierhout et al 199329 | South Africa | Cross-sectional | Q | Urban | Work | 155 | Factory workers | NM | F/M | 100 |
| Mijiyawa et al 200024 | Togo | Retrospective | Q | Rural | Hospital | 9065 | OPD patients | 17–94 | F/M | 100 |
| Omokhodion et al 200025 | Nigeria | Cross-sectional | Q | Rural | Hospital | 74 | Hospital staff | 20–60 | F/M | 93 |
| Worku 200011 | South Africa | Retrospective | Q | Rural | Community | 4001 | Mothers | NM | F | 100 |
| Wallner-Scholtfeldt et al 200030 | South Africa | Survey | Q | Urban | Work | 196 | Workers | 23–59 | M | 64 |
| Omokhodion 200226 | Nigeria | Cross-sectional | Q | Rural | Houses | 900 | Residents | 20–85 | F/M | 100 |
| Mbaye et al 200023 | Senegal | Cross-sectional | Q | Urban | Work | 69 | Workers | M | NM | |
| Omokhodion et al 200315 | Nigeria | Cross-sectional | Q | Urban | Work | 1285 | Office workers | 20–60 | F/M | 66 |
| Igumbor et al 200331 | Zimbabwe | Cross-sectional | Q | Urban | Work | 198 | Physiotherapists | 23–76 | F/M | 72 |
| Omokhodion 200416 | Nigeria | Cross-sectional | Q | Urban | Community | 474 | Residents | 20–82 | F/M | 100 |
| Govender 200432 | South Africa | Survey | Q | Urban | Hospital | 320 | Nurses | 20–62 | F/M | 68 |
| Puckree et al 200433 | South Africa | Survey | Q | Urban | Schools | 320 | Scholars | 11–14 | F/M | 55 |
| Prista et al 200427 | Mozambique | Survey | Q | Rural/urban | Schools | 204 | Scholars | 11–16 | F/M | 85 |
| Fabunmi et al 200541 | Nigeria | Survey | Q | Rural | Farms | 500 | Farmers | 25–84 | F/M | 100 |
| Sanya et al 200542 | Nigeria | Cross-sectional | Q | Urban | Industry | 604 | Industrial workers | 20–60 | F/M | 53 |
| Bejia (Adol) et al 200534 | Tunisia | Cross-sectional | Q | Urban | Schools | 622 | Scholars | 11–19 | F/M | 98 |
| Jordaan et al 200528 | South Africa | Cross sectional | Q | Rural/Urban | Schools | 1123 | Scholars | 13–18 | F/M | 89 |
| Adedoyin et al 200535 | Nigeria | Survey | Q | Urban | Universities | 1115 | Computer users | NM | F/M | 93 |
| Bejia (hosp) et al 200536 | Tunisia | Survey | Q | Urban | Hospital | 350 | Hospital staff | 18–60 | F/M | 100 |
| Van Vuuren et al 200537 | South Africa | Cross-sectional | Q | Urban | Work | 109 | Workers | NM | M | 96 |
| Galukande et al 200538 | Uganda | Cross-sectional | Q | Urban | Hospital | 204 | Outpatients | 19–86 | F/M | 100 |
| Van Vuuren et al 200539 | South Africa | Cross-sectional | Q | Urban | Work | 366 | Workers | NM | NM | 100 |
| Van Vuuren et al 200640 | South Africa | Cross-sectional | Q | Urban | Work | 366 | Workers | NM | M | 100 |
LBP definitions of high-quality studies
| Bezzaoucha 199221 | Existence of pain in the lumbar region |
| Wallner-Schlotfedlt et al 200030 | Pain in the lumbar region |
| Omokhodion 200226 | Graphic representation of lumbar area |
| Govender 200432 | Pain between the 12th rib and gluteal fold |
| Puckree et al 200433 | Pain in specific region of the body |
| Prista et al 200427 | Pain in the lumbar area |
| Fabunmi et al 200541 | A condition of pain, aches, stiffness, or fatique localized to lower back or lumbosacral region of spine |
| Jordaan et al 200528 | Pain or discomfort in the lower part of your back |
| Bejia et al 200536 | Mechanical pain of the lower part of your back |
| Galukande et al 200538 | Pain limited to the region between the lower margins of the 12th rib and the gluteal folds |
LBP management
| Omokhodion et al 200025 | rest, analgesics | 70% analgesics; 29% rest |
| Omokhodion 200226 | analgesics, orthodox health care personnel, non-orthodoxed personnel, patent medicine stored, traditional healers, drug peddlers, rest | Rest 80%; Analgesics 18% No treatment 42% |
| Omokhodion et al 200315 | health practitioner, rest | |
| Igumbor et al 200331 | rest, physician and other therapists | |
| Omokhodion 200416 | analgesics, health practitioner, anti-inflammatory drugs, clinic, hospital, chemist | Analgesics 61%; Seen medical practitioner 77% |
| Govender 200432 | medication, rest, physiotherapy, hospital admission, manipulation, acupuncture, surgery | Medication73%; Rest 59%; Physiotherapy 46% Hospital admission 26% |
| Bejia et al 200534 | Physiotherapy, medical officer | 32% had treatment (Medical officer or physiotherapy); |
| Bejia et al 200536 | physiotherapy, self medication, surgery, rest, thermal water care | Medication 42%, Physiotherapy 15%, Surgery 0.0002% |
Critical appraisal of epidemiological studies
| Mulimba 199019 | √ | X | X | √ | √ | √ | NA | NA | X | 40 | ||||
| Bezzaoucha 199221 | √ | X | √ | √ | √ | √ | X | NA | NA | √ | X | 70 | ||
| Bwanahali et al 199222 | X | X | √ | X | X | √ | x | NA | NA | x | x | x | 20 | |
| Harris 199320 | X | X | √ | √ | √ | √ | X | NA | NA | X | √ | 60 | ||
| Schierhout et al 199329 | √ | √ | √ | √ | √ | √ | X | NA | NA | X | X | 70 | ||
| Mijiyawa et al 200024 | X | X | √ | X | X | √ | X | NA | NA | X | X | 30 | ||
| Omokhodion et al 200025 | √ | X | √ | √ | √ | √ | X | NA | NA | X | √ | 70 | ||
| Worku 200011 | √ | X | √ | X | √ | √ | X | NA | NA | X | √ | 60 | ||
| Wallner-Scholtfeldt et al 200030 | X | √ | √ | √ | √ | √ | X | NA | NA | √ | √ | 80 | ||
| Omokhodion 200226 | √ | √ | √ | √ | √ | √ | X | NA | NA | √ | √ | 90 | ||
| Mbaye et al 200023 | X | X | √ | √ | √ | √ | X | NA | NA | X | √ | 60 | ||
| Omokhodion et al 200315 | √ | √ | √ | √ | √ | √ | X | NA | NA | X | X | 70 | ||
| Igumbor et al 200331 | √ | √ | √ | √ | √ | √ | X | NA | NA | X | √ | 80 | ||
| Omokhodion 200416 | √ | √ | √ | √ | √ | √ | X | NA | NA | X | √ | 90 | ||
| Go√ender 200432 | √ | √ | √ | √ | √ | √ | X | NA | NA | √ | √ | 90 | ||
| Puckree et al 200433 | X | X | √ | X | √ | √ | √ | NA | NA | X | X | 50 | ||
| Prista et al 200427 | √ | X | √ | √ | √ | √ | √ | NA | NA | √ | √ | 90 | ||
| Fabunmi et al 200541 | √ | X | X | √ | √ | √ | √ | NA | NA | √ | √ | √ | 80 | |
| Sanya et al 200542 | √ | x | √ | √ | √ | √ | X | NA | NA | X | √ | √ | 70 | |
| Bejia (Adol) et al 200534 | √ | √ | √ | √ | √ | √ | √ | NA | NA | √ | √ | 100 | ||
| Jordaan et al 200528 | √ | √ | √ | √ | √ | √ | √ | NA | NA | √ | √ | 100 | ||
| Adedoyin et al 200535 | X | √ | √ | X | √ | √ | X | NA | NA | X | √ | 60 | ||
| Bejia (hosp) et al 200536 | √ | √ | √ | √ | √ | √ | X | NA | NA | √ | √ | 90 | ||
| Van Vuuren et al 200537 | √ | √ | √ | √ | √ | √ | √ | NA | NA | X | √ | 90 | ||
| Galukande et al 200538 | X | √ | √ | √ | √ | √ | X | NA | NA | √ | √ | 80 | ||
| Van Vuuren et al 200539 | X | X | √ | √ | √ | √ | X | NA | NA | X | √ | 60 | ||
| Van Vuuren et al 200640 | √ | X | √ | √ | √ | √ | X | NA | NA | X | √ | 70 |
√ = criterion fulfilled Y = Yes MA = methodologically accepted
X = criterion not fulfilled N = No NA = not applicable
Figure 2LBP point prevalence. LBP point prevalence ranged from 10% to 14% among adolescents, and 16% to 59%. The trend-line suggests that LBP point prevalence potentially increases with age.
Figure 3One-year LBP prevalence. The one year prevalence ranged from 14% to 72%. The trend-line suggests that one-year LBP prevalence potentially increases with age.
Figure 4Lifetime LBP prevalence. The lifetime LBP prevalence ranged from 28% to 74%. The trend-line suggests that lifetime LBP prevalence potentially increases with age.
LBP Prevalence from 9 studies with less than 70% methodological score
| Mulimba 199019 | 10 | - | - | Orthopaedic clinic |
| Bwanahali et al 199222 | 47 | - | - | Rheumatology clinic |
| Harris 199320 | 62 | - | - | In cricketers |
| Worku 200011 | 10 | - | - | Rural community/mothers |
| Mijiyawa et al 200024 | 35 | - | - | Rheumatology unit |
| Mbaye et al 200223 | - | - | - | Transport company |
| Puckree et al 200433 | - | - | - | School children |
| Adedoyin et al 200535 | 74 | - | - | Computer users |
| Van Vuuren et al 200539 | 36 | 56 | 64 | Steel industry |
Figure 5Odds ratios. Three of the seven studies cross one, indicating that the female gender is a significant risk factor for LBP.
Odds ratio for LBP risk factors
| Omokhodion et al 200416 | Past history of smoking | 6.24 (1.33–29.23) |
| Jordaan et al 200528 | Smoking tobacco | 1.69 (1.03–3.07) |
| Omokhodion et al 200416 | Farming | 4.06 (1.24–12.95) |
| Prista et al 200427 | Urban school area | 3.07 (0.99–9.48) |
| Prista et al 200427 | Walking >30 min | 4.76 (1.61–14.28) |
| Bejia et al 200534 | School failure | 2.6 (1.96–3.8) |
| Bejia et al 200534 | Football | 3.07 92.15–5.1) |
| Bejia et al 200534 | Dissatisfaction with school chair | 3.4 (2.24–5.29) |
| Bejia et al 2005 (adults)36 | LBP history | 18.6 (2.92–35.04) |
| Bejia et al 2005 (adults)36 | LBP history | 6.46 (1.86–17.52) |
| Omokhodion et al 200416 | History of trauma | 4.14 (1.99–8.61) |
| Bejia et al 200534 | LBP family history | 3.8 (2.94–5.92) |
| Bejia et al 2005 (adults)36 | Psychological profile | 1.93 (1.01–3.9) |
| Bejia et al 2005 (adults)36 | Married/divorced | 4.79 (1.56–22.57) |