| Literature DB >> 23401764 |
Olufemi O Desalu1, Adekunle O Adeoti, Abayomi Fadeyi, Alakija K Salami, Ademola E Fawibe, Olanrewaju O Oyedepo.
Abstract
Objectives. To determine the awareness of the warning signs, risk factors, and treatment of tuberculosis among urban Nigerians. Methods. This was a cross-sectional survey among 574 adults in Ilorin, Nigeria. Semistructured questionnaire was administered by trained interviewers to obtain information about awareness of tuberculosis warning signs, risk factors, and treatment. Results. Majority of the subjects (71.4%) were aware of at least one warning sign of tuberculosis. Cough (66.2%), weight loss (38.0%), and haemoptysis (30.7%) were the most identified warning signs. The predictors of awareness of warning sign were increasing age (r + 0.12), higher family income (r + 0.10), higher level of education (r + 0.10), and belonging to Christian faith (r + 0.11). Awareness of risk factors for tuberculosis was higher for tobacco smokers (77.0%) and history of contact with a case of TB (76.0%). Less than half were aware of HIV infection (49.8%), alcohol consumption (42.5%), chronic kidney disease (40.4%), extremes of ages (39.4%), cancers (36.9%), and diabetes mellitus (27.5%) as risk factors for TB. Tuberculosis was reported to be curable by 74.6% of the subjects and 67.9% knew that there are medications for treatment of tuberculosis, while 11.5% knew the duration of treatment. Conclusion. This study has revealed that the awareness of HIV and noncommunicable diseases as risk factors for TB is poor. This study has therefore demonstrated the need for health education programs that will emphasize recognition, identification, and modification of risk factor for TB.Entities:
Year: 2013 PMID: 23401764 PMCID: PMC3557638 DOI: 10.1155/2013/369717
Source DB: PubMed Journal: Tuberc Res Treat ISSN: 2090-150X
General characteristics of the study subjects.
| Characteristics |
|
|---|---|
| Age | 30 (23–40)* |
| Sex | |
| Male | 308 (53.7) |
| Female | 266 (46.6) |
| Education | |
| Primary/none | 150 (26.1) |
| Secondary | 148 (25.8) |
| Tertiary | 276 (48.1) |
| Income ( | |
| <10,000 | 244 (42.5) |
| ≤50,000 | 206 (39.5) |
| ≤100,000 | 72 (12.5) |
| ≤200,000 | 26 (4.5) |
| > | 22 (3.8) |
| Occupational class | |
| Professional/administrators | 21 (3.7) |
| Skilled | 32 (5.6) |
| Unskilled | 100 (17.4) |
| Others | 421 (73.3) |
| Marital status | |
| Married | 252 (43.9) |
| Others | 322 (56.1) |
| Religion | |
| Islam | 336 (58.5) |
| Christianity | 236 (41.1) |
| Others | 2 (0.3) |
| Aware of TB as a disease | |
| Aware | 459 (80.0) |
| Unaware | 115 (20.0) |
| Awareness of TB sign | |
| Aware | 410 (71.4) |
| Unaware | 164 (28.6) |
*Median (interquartile range).
**4 missing.
Identified TB warning sign according to gender.
| Warning sign | Male (%) | Female (%) | Total (%) |
|---|---|---|---|
| Cough | 212 (68.8) | 168 (63.2) | 380 (66.2) |
| Weight loss | 126 (40.9) | 92 (34.6) | 218 (38.0) |
| Heamoptysis | 104 (33.8) | 72 (27.1) | 176 (30.7) |
| Chronic cough | 56 (18.2) | 30 (11.3) | 86 (15.0)* |
| Breathlessness | 44 (14.3) | 34 (12.8) | 78 (13.6) |
| Chest pain | 32 (10.4) | 28 (10.5) | 60 (10.5) |
| Fever | 40 (13.0) | 14 (5.3) | 54 (9.4)* |
| Fatigue | 16 (5.2) | 20 (7.5) | 36 (6.3) |
| Night sweat | 20 (6.5) | 10 (3.8) | 30 (5.2) |
*P < 0.05.
Predictors of warning signs of TB.
| Predictors | Crude | Adjusted |
|---|---|---|
| Age | +0.13* | +0.12* |
| Sex | +0.07 | +0.06 |
| Higher level of education | +0.06 | +0.10* |
| Unskilled workers | +0.02 | +0.03 |
| Marriage | +0.04 | +0.04 |
| Higher family income | +0.18* | +0.10* |
| Christianity | +0.20* | +0.11* |
| Having a medical disease | +0.01 | −0.04 |
Adjusted for age, sex, religion, and sociodemographic variables.
*P < 0.05.
Awareness of the risk factors for TB in the subjects.
| Reported risk factor |
|
|---|---|
| Tobacco smoking | |
| -Active | 442 (77.0) |
| -ETS | 344 (59.0) |
| History of contact | 436 (76.0) |
| Health care job | 342 (59.6) |
| Overcrowding | 344 (59.0) |
| Use of biomass fuel | 326 (56.8) |
| Work-related pollution | 322 (56.1) |
| Low income | 312 (54.4) |
| HIV infection | 286 (49.8) |
| Alcohol intake | 244 (42.5) |
| CKD/CRF | 232 (40.4) |
| Extremes ages | 226 (39.4) |
| Cancer | 212 (36.9) |
| Diabetes mellitus | 158 (27.5) |