| Literature DB >> 30646894 |
Marie Doualla1,2,3, Jeannine Aminde4, Leopold Ndemnge Aminde1,5, Fernando Kemta Lekpa1,3, Felix Mangan Kwedi2,3, Emmanuel Vubo Yenshu6, Alain Mefire Chichom1.
Abstract
BACKGROUND: Very little is known about the burden of chronic low back pain in Africa. This study aimed at assessing disability and associated factors in chronic low back patients in Cameroon.Entities:
Keywords: Africa; Chronic low back pain; Disability
Mesh:
Year: 2019 PMID: 30646894 PMCID: PMC6334448 DOI: 10.1186/s12891-019-2403-9
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Fig. 1Specific diagnoses of patients with CLBP. Legend: Bar chart showing the different aetiological diagnoses of patients with CLBP. The percentages next to the bars represent the proportion of each diagnosis in the cohort of patients.
General characteristics of the study population
| Variable | Category | n | % |
|---|---|---|---|
|
| Male | 48 | 35.6 |
| Female | 87 | 64.4 | |
|
| Married | 97 | 73 |
| Single | 24 | 18.0 | |
| Widowed | 12 | 9.0 | |
|
| No formal | 2 | 1.5 |
| Primary | 32 | 23.5 | |
| Secondary | 54 | 39.7 | |
| Tertiary | 48 | 35.3 | |
|
| Unemployed | 14 | 10.4 |
| Employed | 95 | 71.1 | |
| Student | 3 | 2.2 | |
| Housewife | 13 | 9.6 | |
| Retired | 9 | 6.7 | |
|
| Physical labour | 26 | 27.1 |
| Non-physical | 66 | 68.8 | |
| Combination | 4 | 4.2 | |
|
| < 50,000 | 56 | 41.5 |
| 50,000–100,000 | 18 | 13.3 | |
| 100,000 – 300,000 | 28 | 20.7 | |
| > 300,000 | 33 | 24.4 | |
|
| Non-consumer | 27 | 19.9 |
| Consumer | 109 | 80.1 | |
|
| Non-smoker | 112 | 82.4 |
| Former | 21 | 15.4 | |
| Current | 3 | 2.2 | |
|
| Absent | 67 | 49.3 |
| Present | 69 | 50.7 | |
|
| Absent | 90 | 66.2 |
| Present | 46 | 33.8 | |
|
| Absent | 59 | 43.4 |
| Present | 77 | 56.6 | |
|
| No | 22 | 16.7 |
| Yes | 110 | 83.3 |
BBDS = Bowel/bladder dysfunction symptoms, FCFA = Central African Franc
Correlations between continuous variables and RMDQ scores in patients with CLBP at the Douala General Hospital, Cameroon
| Variables | RMDQ score mean ± SD | r | |
|---|---|---|---|
|
| 50.6 ± 12.2 | 0.27 | 0.002 |
|
| 33.0 (69.0) | 0.09 | 0.305 |
|
| 12.0 (21.0) | 0.18 | 0.034 |
|
| 41.3 ± 24.3 | 0.45 | < 0.0001 |
|
| 6.0 ± 10.2 | 0.36 | < 0.0001 |
|
| 5.5 ± 11.7 | −0.02 | 0.835 |
|
| 29.6 ± 5.7 | −0.01 | 0.942 |
|
| 65.0 ± 22.5 | −0.19 | 0.030 |
|
| 59.9 ± 15.7 |
|
|
SD = standard deviation, r = Pearson’s correlation coefficient, IQR = interquartile range, BMI = body mass index, RMDQ = Roland Morris Disability Questionnaire
Fig. 2Correlation between RMDQ scores and days of work loss. Legend: Scatter plot showing correlation between disability (RMDQ scores) and days of work loss. The many small circles represent the plotted values obtained for each of the variables while the line represents the best fit for the correlation between them.
Fig. 3Correlation between RMDQ scores and pain intensity. Legend: Scatter plot showing relationship between disability (RMDQ scores) and pain intensity scores measured with visual analogue scale (VAS).The many small circles represent the plotted values obtained for each of the variables while the line represents the best fit for the correlation between them.
Fig. 4Correlation between RMDQ scores and psychological wellbeing. Legend: Scatter plot showing correlation between disability (RMDQ scores) and psychological wellbeing scores. The many small circles represent the plotted values obtained for each of the variables while the line represents the best fit for the correlation between them.
RMDQ score variations by sociodemographic and clinical characteristics of patients with CLBP at the Douala General Hospital, Cameroon
| Variable | Category | RMDQ score mean ± SD | t or F statistic | |
|---|---|---|---|---|
|
| Male | 11.6 ± 6.4 | −1.71 | 0.090 |
| Female | 13.5 ± 5.9 | |||
|
| Married | 12.5 ± 6.1a |
|
|
| Single | 11.5 ± 6.3a | |||
| Widowed | 16.9 ± 4.6b | |||
|
| No formal | 23.0 ± 1.4a |
|
|
| Primary | 14.3 ± 5.3 | |||
| Secondary | 12.9 ± 6.7 | |||
| Tertiary | 11.3 ± 5.6b | |||
|
| Unemployed | 14.2 ± 6.5 |
|
|
| Employed | 11.7 ± 5.8 | |||
| Student | 13.3 ± 6.0 | |||
| Housewife | 15.9 ± 6.6 | |||
| Retired | 17.4 ± 5.4 | |||
|
| Physical labour | 13.1 ± 6.8 | 1.18 | 0.313 |
| Non-physical | 11.1 ± 5.4 | |||
| Combination | 12.8 ± 5.9 | |||
|
| < 50,000 | 13.6 ± 6.3 | 0.78 | 0.507 |
| 50,000–100,000 | 12.8 ± 5.2 | |||
| 100,000 – 300,000 | 11.4 ± 5.9 | |||
| > 300,000 | 12.4 ± 6.6 | |||
|
| Non-consumer | 16.2 ± 5.7 |
|
|
| Consumer | 11.9 ± 5.9 | |||
|
| Non-smoker | 12.7 ± 5.9 | 0.53 | 0.592 |
| Former | 12.9 ± 7.0 | |||
| Current | 16.3 ± 8.6 | |||
|
| Absent | 11.8 ± 6.3 | −1.93 | 0.055 |
| Present | 13.8 ± 5.9 | |||
|
| Absent | 11.8 ± 5.9 |
|
|
| Present | 14.7 ± 6.2 | |||
|
| Absent | 11.6 ± 6.4 |
|
|
| Present | 13.7 ± 5.8 | |||
|
| No | 10.6 ± 6.4 | 1.84 | 0.68 |
| Yes | 13.2 ± 6.0 |
a-b= Means in a category with unidentical superscript letters differ (P < 0.05), using Tukey post-hoc criterion
Fig. 5RMDQ score variation between alcohol consumers and non-consumers. Legend: Box plots showing differences in disability (RMDQ scores) by alcohol consumption status. The horizontal line in the box represents the median RMDQ score, while the lower and upper edges of the boxes represent the 25th and 75th percentiles (and interquartile range being the difference between them).The tip of the extended vertical lines on either sides of the boxes refer to the minimum and maximum RMDQ scores.
Fig. 6RMDQ score variation between persons with and without BBDS. Legend: Box plots showing differences in disability (RMDQ scores) in those with and without bowel/bladder dysfunction symptoms (BBDS). The horizontal line in the box represents the median RMDQ score, while the lower and upper edges of the boxes represent the 25th and 75th percentiles (and interquartile range being the difference between them).The tip of the extended vertical lines on either sides of the boxes refer to the minimum and maximum RMDQ scores.
Multivariable linear regression showing factors independently associated with disability (RMDQ score) in patients with CLBP, Douala General Hospital, Cameroon
| Variables | Categories | β | 95% CI | |
|---|---|---|---|---|
|
| Single | −1.31 | −4.21 to 1.58 | 0.371 |
| Widowed | 3.42 | −0.14 to 6.98 | 0.059 | |
| Married | 1 | |||
|
| Female | −0.05 | −2.12 to 2.02 | 0.963 |
| Male | 1 | |||
|
| Tertiary | −1.28 | −9.55 to 6.99 | 0.759 |
| Secondary | −2.49 | −10.85 to 5.86 | 0.555 | |
| Primary | −1.98 | −10.26 to 6.31 | 0.637 | |
| No formal | 1 | |||
|
| Retired | −0.90 | −5.87 to 4.08 | 0.721 |
| Employed | 0.15 | −3.13 to 3.43 | 0.929 | |
| Student | −0.59 | −8.08 to 6.91 | 0.877 | |
| Housewife | 0.62 | −3.83 to 5.06 | 0.784 | |
| Unemployed | 1 | |||
|
| Consumer | −3.55 | −6.01 to −1.10 | 0.005 |
| Non-consumer | 1 | |||
|
| Present | 0.67 | −1.35 to 2.70 | 0.510 |
| Absent | 1 | |||
|
| Present | 2.33 | 0.25 to 4.42 | 0.029 |
| Absent | 1 | |||
|
| Present | 0.51 | −1.49 to 2.52 | 0.613 |
| Absent | 1 | |||
|
| 0.03 | −0.74 to 1.30 | 0.585 | |
|
| 0.07 | 0.03 to 0.11 | 0.002 | |
|
| −0.01 | −0.03 to 0.02 | 0.747 | |
|
| −0.03 | −0.07 to 0.01 | 0.137 | |
|
| 0.15 | 0.05 to 0.24 | 0.003 | |
|
| −0.10 | −0.16 to −0.03 | 0.004 |
aR = 0.407, β = beta coefficient, CI = confidence interval