Submitted:
29 November 2023
Posted:
30 November 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study design, Sampling and Data collection
2.2. Questionnaire description
2.3. Pilot study
2.4. Sample size calculation
2.5. Statistical analysis
3. Results
3.1. Demographic characteristics
3.2. Association between demographic variables and pain frequency
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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| Demographic | Variables | Number | Percentage |
|---|---|---|---|
| Gender | Male | 170 | 42.61 |
| Female | 229 | 57.39 | |
| Age | 18-20 | 73 | 18.43 |
| 21-29 | 124 | 30.96 | |
| 30-39 | 54 | 13.51 | |
| 40-49 | 85 | 21.13 | |
| Education | High School or less | 79 | 19.9 |
| Diploma | 44 | 11.12 | |
| Bachelors | 261 | 65.6 | |
| Master | 18 | 4.45 | |
| PhD | 9 | 2.36 | |
| Occupation | Private Sector | 26 | 6.52 |
| Government Job | 123 | 30.83 | |
| Business | 12 | 3.01 | |
| House Wife | 42 | 10.53 | |
| Unemployed | 25 | 6.27 | |
| Retired | 24 | 6.02 | |
| Work from home | 3 | 1 | |
| Student | 143 | 35.84 | |
| Monthly Income | Above the Average | 133 | 33.34 |
| Average | 195 | 48.9 | |
| Below the average | 73 | 18.3 | |
| Marital status | Divorced | 7 | 1.8 |
| Married | 202 | 50.6 | |
| Single | 188 | 47.1 | |
| Widowed | 2 | 0.5 | |
| Reasons for use | Muscle Pain | 53 | 13.34 |
| Headache | 109 | 27.4 | |
| Fever | 33 | 8.23 | |
| Toothache | 68 | 17.2 | |
| Menstrual Cycle | 60 | 14.92 | |
| Joint Pain | 52 | 13.2 | |
| Others | 20 | 5.1 |
| Demographic factors | ||||||
|---|---|---|---|---|---|---|
| Variables | Gender p-value | Age p-value |
Education p-value | Occupation p-value | Monthly income p-value |
Marital status p-value |
| Muscle pain | 0.34 | 0.01 | 0.24 | 0.12 | 0.55 | 0.14 |
| Headache | 0.11 | 0.31 | 0.19 | 0.85 | 0.18 | 0.18 |
| Fever | 0.16 | 0.03 | 0.63 | 0.26 | 0.34 | 0.53 |
| Toothache | 0.10 | 0.35 | 0.12 | 0.11 | 0.22 | 0.66 |
| Menstrual cycle | 0.001 | 0.001 | 0.23 | 0.01 | 0.05 | 0.01 |
| Joint pain | 0.002 | 0.001 | 0.05 | 0.001 | 0.52 | 0.001 |
| Others | 0.29 | 0.18 | 0.45 | 0.25 | 0.67 | 0.01 |
| Variables | Categories | Pain frequency | ||||
|---|---|---|---|---|---|---|
| Irregular | Daily | Weekly | Monthly | p-value | ||
| Gender | Male | 99 (47.6) | 7 (30.4) | 25 (53.2) | 39 (32.2) | 0.01 |
| Female | 109 (52.4) | 16 (69.6) | 22 (46.8) | 82 (67.8) | ||
| Age (years) | 18-20 | 30 (14.4) | 5 (21.7) | 14 (29.8) | 26 (21.5) | 0.03 |
| 21-29 | 67 (32.2) | 5 (21.7) | 12 (25.5) | 42 (34.7) | ||
| 30-39 | 29 (13.9) | 6 (26.1) | 4 (8.5) | 16 (13.2) | ||
| 40-49 | 46 (22.1) | 2 (8.7) | 7 (14.9) | 31 (25.6) | ||
| 50-59 | 30 (14.4) | 4 (17.4) | 8 (17.0) | 4 (3.3) | ||
| Above 60 | 6 (2.9) | 1 (4.3) | 2 (4.3) | 2 (1.7) | ||
| Education | High School or less | 39 (18.8) | 5 (21.7) | 13 (27.7) | 20 (16.5) | 0.001 |
| Diploma | 25 (12.0) | 2 (8.7) | 5 (10.6) | 12 (9.9) | ||
| Bachelors | 136 (65.4) | 10 (43.5) | 26 (55.3) | 85 (70.2) | ||
| Master | 6 (2.9) | 3 (13.0) | 1 (2.1) | 4 (3.3) | ||
| PHD | 2 (1.0) | 3 (13.0) | 2 (4.3) | - | ||
| Occupation | Private Sector | 14 (6.7) | - | 3 (6.4) | 9 (7.4) | 0.43 |
| Government Job | 68 (32.7) | 8 (34.8) | 14 (29.8) | 33 (27.3) | ||
| Business | 2 (1.0) | 1 (4.3) | 2 (4.3) | 7 (5.8) | ||
| House Wife | 25 (12.0) | 3 (13.0) | 4 (8.5) | 10 (8.3) | ||
| Unemployed | 13 (6.3) | 2 (8.7) | - | 10 (8.3) | ||
| Retired | 14 (6.7) | 2 (8.7) | 4 (8.5) | 4 (3.3) | ||
| Work from home | 1 (0.5) | - | - | 3 (2.5) | ||
| Student | 71 (34.1) | 7 (30.4) | 20 (42.6) | 45 (37.2) | ||
| Monthly Income | Above the Average | 63 (30.3) | 8 (34.8) | 23 (48.9) | 36 (29.8) | 0.12 |
| Average | 101 (48.6) | 9 (39.1) | 19 (40.4) | 66 (54.5) | ||
| Below the average | 44 (21.2) | 6 (26.1) | 5 (10.6) | 19 (15.7) | ||
| Marital status | Divorced | 2 (1.0) | - | - | 5 (4.1) | 0.20 |
| Married | 111 (53.4) | 12 (52.2) | 22 (46.8) | 57 (47.1) | ||
| Single | 95 (45.7) | 10 (43.5) | 25 (53.2) | 58 (47.9) | ||
| Widowed | - | 1 (4.3) | - | 1 (0.8) | ||
| Variables | Categories | Regression Model | |
|---|---|---|---|
| COR (95% CI) | AOR (95% CI) | ||
| Gender | Male | 1 | 1 |
| Female | 1.53 (1.10, 2.30) | 1.75 (1.10, 2.88) | |
| Age (years) | 18-20 | 1 | 1 |
| 21-29 | 0.60 (0.33, 1.05) | 0.68 (0.34, 1.37) | |
| 30-39 | 0.59 (0.29, 1.21) | 0.50 (0.17, 1.34) | |
| 40-49 | 0.58 (0.31, 1.08) | 0.39 (0.15, 1.05) | |
| 50-59 | 0.36 (0.17, 0.76) | 0.21 (0.07, 0.66) | |
| Above 60 | 0.56 (0.15, 1.98) | 0.30 (0.05, 1.92) | |
| Education | High School or less | 1 | 1 |
| Diploma | 0.78 (0.37, 1.64) | 0.94 (0.40, 2.22) | |
| Bachelors | 0.91 (0.43, 4.32) | 0.92 (0.52, 1.64) | |
| Master | 1.37 (0.43, 4.32) | 1.42 (0.41, 4.94) | |
| PHD | 2.60 (0.46, 14.04) | 3.50 (0.54, 22.51) | |
| Occupation | Private Sector | 1 | 1 |
| Government Job | 0.94 (0.40, 2.21) | 1.15 (0.44, 2.97) | |
| Business | 5.83 (1.06, 32.02) | 6.12 (1.10, 35.10) | |
| House Wife | 0.79 (0.30, 2.13) | 0.76 (0.25, 2.27) | |
| Unemployed | 1.10 (0.35, 3.23) | 1.16 (0.37, 3.63) | |
| Retired | 0.83 (0.27, 2.55) | 1.52 (0.35, 6.45) | |
| Work from home | 3.50 (0.32, 38.23) | 3.53 (0.29, 42.70) | |
| Student | 1.20 (0.51, 2.73) | 0.76 (0.29, 1.97) | |
| Monthly Income | Above the Average | 1 | 1 |
| Average | 0.87 (0.56, 1.36) | 0.77 (0.47, 1.25) | |
| Below the average | 0.64 (0.36, 1.14) | 0.65 (0.34, 1.22) | |
| Variables | Categories | Regression Model | |
|---|---|---|---|
| COR (95% CI) | AOR (95% CI) | ||
| Gender | Male | 1 | 1 |
| Female | 1.53 (1.10, 2.30) | 1.75 (1.10, 2.88) | |
| Age (years) | 18-20 | 1 | 1 |
| 21-29 | 0.60 (0.33, 1.05) | 0.68 (0.34, 1.37) | |
| 30-39 | 0.59 (0.29, 1.21) | 0.50 (0.17, 1.34) | |
| 40-49 | 0.58 (0.31, 1.08) | 0.39 (0.15, 1.05) | |
| 50-59 | 0.36 (0.17, 0.76) | 0.21 (0.07, 0.66) | |
| Above 60 | 0.56 (0.15, 1.98) | 0.30 (0.05, 1.92) | |
| Education | High School or less | 1 | 1 |
| Diploma | 0.78 (0.37, 1.64) | 0.94 (0.40, 2.22) | |
| Bachelors | 0.91 (0.43, 4.32) | 0.92 (0.52, 1.64) | |
| Master | 1.37 (0.43, 4.32) | 1.42 (0.41, 4.94) | |
| PHD | 2.60 (0.46, 14.04) | 3.50 (0.54, 22.51) | |
| Occupation | Private Sector | 1 | 1 |
| Government Job | 0.94 (0.40, 2.21) | 1.15 (0.44, 2.97) | |
| Business | 5.83 (1.06, 32.02) | 6.12 (1.10, 35.10) | |
| House Wife | 0.79 (0.30, 2.13) | 0.76 (0.25, 2.27) | |
| Unemployed | 1.10 (0.35, 3.23) | 1.16 (0.37, 3.63) | |
| Retired | 0.83 (0.27, 2.55) | 1.52 (0.35, 6.45) | |
| Work from home | 3.50 (0.32, 38.23) | 3.53 (0.29, 42.70) | |
| Student | 1.20 (0.51, 2.73) | 0.76 (0.29, 1.97) | |
| Monthly Income | Above the Average | 1 | 1 |
| Average | 0.87 (0.56, 1.36) | 0.77 (0.47, 1.25) | |
| Below the average | 0.64 (0.36, 1.14) | 0.65 (0.34, 1.22) | |
| Variables | Categories | Female | Male | P-value |
|---|---|---|---|---|
| Physician | ||||
| No | 173 (75.5) | 139 (81.8) | 0.12 | |
| Yes | 56 (24.5) | 31 (18.2) | ||
| Pharmacist | ||||
| No | 159 (69.4) | 137 (80.6) | 0.01 | |
| Yes | 70 (30.6) | 33 (19.4) | ||
| Relatives | ||||
| No | 188 (82.1) | 160 (94.1) | 0.001 | |
| Yes | 41 (17.9) | 10 (5.9) | ||
| Friends | ||||
| No | 209 (91.3) | 156 (91.8) | 0.86 | |
| Yes | 20 (8.7) | 14 (8.2) | ||
| Social media | ||||
| No | 213 (93.0) | 164 (96.5) | 0.13 | |
| Yes | 16 (7.0) | 6 (3.5) | ||
| Others | ||||
| No | 217 (94.8) | 159 (93.5) | 0.60 | |
| Yes | 12 (5.2) | 11 (6.5) | ||
| Frequency | ||||
| Not used | 76 (33.2) | 94 (55.3) | 0.001 | |
| 1 | 82 (35.8) | 42 (24.7) | ||
| 2 | 49 (21.4) | 25 (14.7) | ||
| 3 | 16 (7.0) | 6 (3.5) | ||
| 4 | 2 (0.9) | 1 (0.6) | ||
| More than 4 tablets | 4 (1.7) | 2 (1.2) |
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