| Literature DB >> 34429648 |
Yusuf Haji1, Fiker Taddesse2, Simegn Serka3, Achamyelesh Gebretsadik1.
Abstract
BACKGROUND: Low back pain (LBP) is an important musculoskeletal condition results in clinical, social and public health problems globally. Hydrotherapy, using water and heat together can be utilized to treat conditions, relieve pain and increase muscular power and a range of joint movement in patients with chronic lower back pain. Most patients with acute LBP improve spontaneously within four weeks; however, chronic LBP is extremely common and usually mechanical in nature.Entities:
Keywords: Southern Ethiopia; balneotherapy; chronic back pain; hot springs
Year: 2021 PMID: 34429648 PMCID: PMC8380127 DOI: 10.2147/JPR.S322603
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Physicochemical Qualities of Studied Hot Springs Water in SNNPR, 2019
| Parameters | Yirgalem (Yirgalem) | Shebele (Wondogenet) | Barsiso (Dilla) | Burkitu (Hawassa) | WHO | Unit |
|---|---|---|---|---|---|---|
| pH | 7.9 | 8.3 | 7.56 | 6.9 | (6.5–8.5)a | |
| Temperature | 42.8 | 60.2 | 51.4 | 60.2 | 35c | 0c |
| Conductivity | 292 | 665 | 2835 | 1266 | (180–600)b | µs/cm |
| TDS | 146 | 333 | 1417.5 | 633 | 1200b | mg/L |
| Turbidity | 0.0 | 0.0 | 3.00 | 0.0 | 5 b | NTU |
| Total chlorine | 0.04 | 0.0 | 0.08 | 0.02 | 5b | mg/L |
| Total hardness | 45 | 60 | 40 | 70 | 300c | mg/L |
| Calcium hardness | 25 | 30 | 30 | 50 | mg/L | |
| Magnesium hardness | 20 | 30 | 10 | 20 | mg/L | |
| Total alkalinity | 150 | 300 | 1200 | 600 | 200b | mg/L |
| Bicarbonate alkalinity | 150 | 300 | 1200 | 600 | – | mg/L |
| Dissolved NH3 | 0.00 | 0.45 | 0.33 | 0.46 | 1.5b | mg/L |
| NH4+ ammonium | 0.00 | 0.58 | 0.35 | 0.60 | 1.5b | mg/L |
| Na+ sodium | 50.7 | 86.2 | 587.3 | 258.6 | 200b | mg/L |
| K+ potassium | 6.6 | 48.0 | 12 | 39.0 | 1.5b | mg/L |
| Ca+ calcium | 10.0 | 12.0 | 12 | 20.0 | 75b | mg/L |
| Mg+ magnesium | 4.9 | 7.3 | 2.4 | 4.9 | 50b | mg/L |
| Cl– chloride | 1.3 | 3.0 | 1.3 | 1.3 | 250b | mg/L |
| F– fluoride | 1.74 | 0.91 | 8.12 | 5.73 | 1.5b | mg/L |
| NO2– nitrite | 0.02 | 0.03 | 0.03 | 0.05 | 3b | mg/L |
| NO3– nitrate | 9.2 | 2.2 | 14.5 | 6.6 | 50b | mg/L |
| SO42– sulphate | 1.0 | 1 | 80 | 61 | 400a | mg/L |
| PO43– phosphate | 0.30 | 1.22 | 4.8 | 0.39 | – | mg/L |
| HCO3– bicarbonate | 183 | 366 | 1464 | 732 | – |
Sociodemographic Characteristics of Patients Who Used Balneotherapy in Southern Ethiopia, 2019
| Variables | Categories | Frequency | Percent |
|---|---|---|---|
| Age | <30 years | 92 | 21.5 |
| 30–39 years | 114 | 26.7 | |
| 40–49 years | 84 | 19.7 | |
| 50–59 years | 67 | 15.7 | |
| ≥60 year | 70 | 16.4 | |
| Sex of respondents | Male | 196 | 46 |
| Female | 231 | 54 | |
| Place of residence | Rural | 319 | 74.7 |
| Urban | 108 | 25.3 | |
| Religion | Protestant | 252 | 59.0 |
| Muslim | 121 | 28.3 | |
| Orthodox | 49 | 11.5 | |
| Others | 5 | 1.2 | |
| Marital status | Married | 367 | 85.9 |
| Single | 30 | 7.0 | |
| Widowed | 27 | 6.3 | |
| Divorced | 3 | 0.7 | |
| Educational levels | Unable to read and write | 165 | 38.6 |
| Read and write only | 63 | 14.8 | |
| Grade 1–8 (primary education) | 141 | 33.0 | |
| Grade 9–12 (secondary education) | 42 | 9.8 | |
| College, university | 16 | 3.7 | |
| Occupation | Farmer | 164 | 38.4 |
| Housewife | 152 | 35.6 | |
| Merchant | 43 | 10.1 | |
| Daily laborer | 25 | 5.9 | |
| Government/NGO employee | 18 | 4.2 | |
| Student | 14 | 3.3 | |
| Others | 11 | 2.5 | |
| Average monthly income | <1000 | 141 | 33.0 |
| 1000–2000 | 73 | 17.1 | |
| 2001–3000 | 58 | 13.6 | |
| 3001–5000 | 54 | 12.6 | |
| >5000 | 101 | 23.7 | |
| Study site | Burkitu (Hawassa) | 86 | 20.1 |
| Wondogenet (Shebele) | 116 | 27.2 | |
| Yirgalem (Yirgalem) | 80 | 18.7 | |
| Barsiso (Dilla) | 145 | 34.0 |
Frequency and Reasons for Visits and Duration of Stay Among Patients Who Use Balneotherapy in Southern Ethiopia 2019
| Variables | Categories | Frequency | Percent |
|---|---|---|---|
| Frequency of visit | Daily | 68 | 15.9 |
| Weekly | 44 | 10.3 | |
| Monthly | 24 | 5.6 | |
| Yearly | 155 | 36.3 | |
| For the first time | 136 | 31.9 | |
| For how long did you use balneotherapy? | 2 days | 85 | 19.9 |
| 3–5 days | 297 | 69.6 | |
| >5 days | 45 | 10.5 | |
| How did you come here/visited here? | I myself | 186 | 43.6 |
| Previous user | 155 | 36.3 | |
| Family/friends/neighbors | 84 | 19.7 | |
| Others (traditional healers) | 2 | 0.5 |
Back Pain, Neurologic, and Systemic Health Problems Among Patients Who Complain of Back Pain of Balneotherapy Users at Southern Ethiopia, 2019
| Variables | Categories | Frequency | Percent |
|---|---|---|---|
| Have tenderness in the back joint | Yes | 124 | 29.0 |
| No | 303 | 71.0 | |
| Back pain with joint stiffness | Yes | 76 | 17.8 |
| No | 351 | 82.2 | |
| Swelling around the joint | Yes | 20 | 4.7 |
| No | 407 | 95.3 | |
| Have numbness/tingling paresthesia in the extremities | Yes | 196 | 46.0 |
| No | 231 | 54.0 | |
| Have weakness of extremities | Yes | 107 | 25.0 |
| No | 320 | 75.0 | |
| Any of systemic health problem, fever? | Yes | 131 | 30.7 |
| No | 296 | 69.3 | |
| Have headache? | Yes | 220 | 51.5 |
| No | 207 | 48.5 |
Therapeutics Effects of Hot Bath Among Patients Who Used Balneotherapy in Southern Ethiopia, 2019
| Variables | Categories | Frequency | Percent |
|---|---|---|---|
| Relief from back pain after balneotherapy use | Yes | 332 | 77.8 |
| No | 95 | 22.2 | |
| After how many days you felt relief? (n=332) | After two days of use | 168 | 50.5 |
| After three days of use | 123 | 36.9 | |
| After four or more days of use | 43 | 12.6 |
Bivariate Analysis of Factors Associated with Improvement from Back Pain After Balneotherapy Use
| Variables | Perceived Relief from CLBP | COR (95%CI) | ||
|---|---|---|---|---|
| Yes | No | |||
| n (%) | n (%) | |||
| Study site (hot springs) | <0.001 | |||
| Burkitu (Hawassa) | 48 (55.8) | 38 (44.2) | 3.31 (1.83–5.98) | 0.000 |
| Bele (Wondogenet) | 99 (85.3) | 17 (14.7) | 0.72 (0.37–1.39) | 0.32 |
| Yirgalem | 68 (85) | 12 (15) | 0.74 (0.35–1.54) | 0.41 |
| Barsiso (Dilla) | 117 (88.7) | 28 (19.3) | 1.00 | |
| Sex | 0.025 | |||
| Male | 162 (82.7) | 34 (17.3) | 1.7 (1.07–2.74) | |
| Female | 170 (73.6) | 61 (26.4) | 1.00 | |
| Place of residence | 0.598 | |||
| Urban | 82 (76) | 62 (24) | 0.87 (0.52–1.45) | |
| Rural | 250 (78.4) | 69 (21.6) | 1.00 | |
| Age categories | 0.16 | |||
| <30 years | 74 (80.4) | 18 (19.6) | 1.00 | |
| 30–39 years | 79 (69.3) | 35 (30.7) | 1.82 (0.95–3.49) | 0.07 |
| 40–49 years | 67 (79.8) | 17 (20.2) | 1.04 (0.49–2.19) | 0.91 |
| 50–59 years | 55 (82) | 12 (18) | 0.89 (0.99–2.01) | 0.79 |
| ≥60 years | 57 (81.4) | 13 (18.6) | 0.94 (0.42–2.07) | 0.87 |
| Have numbness/tingling/paresthesia | 0.007 | |||
| Yes | 164 (49.4) | 32 (33.7) | 1.92 (1.19–3.09) | |
| No | 168 (50.6) | 63 (66.3) | 1.00 | |