| Literature DB >> 32326447 |
Pathman Arumugam1, Tengku Alina Tengku Ismail1, Aziah Daud1, Kamarul Imran Musa1, Noor Aman A Hamid1, Shaiful Bahari Ismail1, Zakiah Mohd Said2.
Abstract
Background: Men's health in Malaysia is slowly gaining more attention, but minimal research has examined how Malaysian men behave and seek treatment. While few studies have investigated men's treatment-seeking behavior (TSB), those that have been conducted seem to be inconclusive and tend to yield contradictory findings.Entities:
Keywords: civil servants; healthcare utilization; men’s health; treatment-seeking behavior
Mesh:
Year: 2020 PMID: 32326447 PMCID: PMC7216173 DOI: 10.3390/ijerph17082713
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Sociodemographic characteristics of participants (n = 381).
| Variable | Frequency (%) a, |
|---|---|
| Age (year) | 41 (10.1) a |
| 21–40 (youth) | 193 (50.8) |
| > 40 | 187 (49.2) |
| Race | |
| Malay | 340 (89.2) |
| Indian | 19 (5.1) |
| Chinese | 12 (2.1) |
| Siamese | 8 (3.1) |
| Others | 2 (0.5) |
| Religion | |
| Islam | 341 (89.5) |
| Buddha | 18 (4.7) |
| Hindu | 19 (5.0) |
| Christian | 3 (0.8) |
| Education | |
| Primary | 11 (2.9) |
| Secondary | 205 (53.8) |
| Tertiary | 165 (43.3) |
| Marital Status | |
| Single | 47 (12.3) |
| Married | 324 (85.0) |
| Divorcee//Widower | 10 (2.7) |
| Household Income (RM) | 3621 (2016) a |
| <3100 (B40) | 178 (46.7) |
| 3100–6300(M40) | 170 (44.6) |
| > 6300 | 33 (8.7) |
a mean(SD).
Association between sociodemographic characteristics with inappropriate TSB, using simple logistic regression analysis (n = 381).
| Variable | B a | S.E.b | Crude OR c | |
|---|---|---|---|---|
| Race | ||||
| Malay | 0 | - | 1 | |
| Indian | 1.6 | 0.8 | 5.2 (1.2,22.8) | 0.003 |
| Siamese | 1.4 | 1 | 4.2 (0.5,35.1) | 0.128 |
| Chinese | 0.6 | 0.7 | 1.8 (0.5,6.8) | 0.307 |
| Age (year) | ||||
| 21–40 | 0 | - | 1 | |
| > 40 | 0.3 | 0.2 | 0.7 (0.4,0.9) | 0.028 |
| Religion | ||||
| Muslim | 0 | - | 1 | |
| Non-Muslim | 0.5 | 0.1 | 3.4 (1.4,8.4) | 0.011 |
| Education | ||||
| Primary | 0 | - | 1 | |
| Secondary | 1.4 | 0.7 | 4.1 (1.0,16.2) | 0.004 |
| Tertiary | 1.9 | 0.7 | 6.7 (1.7,26.3) | 0.021 |
| Marital Status | ||||
| Single | 0 | - | 1 | |
| Married | 0.7 | 0.4 | 0.4 (0.2,0.8) | 0.013 |
| Divorced/widower | 0.9 | 0.8 | 0.6 (0.1,2.5) | 0.454 |
| Household Income (RM) | ||||
| <3100 | 0 | - | 1 | |
| 3100–6300 | 0.7 | 0.2 | 2.1 (1.4,3.3) | <0.001 |
| >6300 | 1.3 | 0.5 | 3.7 (1.4,9.5) | 0.015 |
a B = unstandardized regression; b S.E. = standard error; c OR = odds ratio; d CI = confidence interval.
Multiple logistic regression analysis for the association between sociodemographic characteristics and inappropriate TSB (n = 381).
| Variable | B a | S.E.b | Adj. OR c | |
|---|---|---|---|---|
| Religion | ||||
| Muslim | 0 | - | 1 | |
| Non-Muslim | 0.9 | 0.5 | 2.6 (1.1,6.7) | 0.041 |
| Household Income (RM) | ||||
| <3100 | 0 | - | 1 | |
| 3100–6300 | 0.8 | 0.2 | 2.4 (1.5,3.8) | <0.001 |
| >6300 | 1.5 | 0.5 | 4.5 (1.7,11.6) | 0.022 |
| Marital status | ||||
| Single | 0 | - | 1 | |
| Married | −1.1 | 0.4 | 0.3 (0.1,0.7) | 0.035 |
| Divorcee//Widower | −0.7 | 0.8 | 0.4 (0.1,2.1) | 0.373 |
a B = unstandardized regression; b S.E. = Standard error; c Adj.OR = Adjusted Odds Ratio; d CI = Confidence interval; Constant −4.528; Forward Likelihood Ratio applied; No multicollinearity and no interaction detected; Hosmer-Lemeshow test, p-value = 0.202; Classficiation table 80% correctly classified; Area under the receiver operating characteristic was 85.5%.
Reported morbidities among participants based on TSB (n = 381).
| Variable | Total | Appropriate TSB | Inappropriate TSB |
|---|---|---|---|
| Frequency (%) | Frequency (%) | Frequency (%) | |
| Hypertension | |||
| Yes | 101 (26.5) | 44 (32.6) | 57 (23.2) |
| No | 260 (68.2) | 87 (64.4) | 173 (70.3) |
| Don’t know | 20 (5.3) | 4 (3.0) | 16 (6.5) |
| Diabetes Mellitus | |||
| Yes | 100 (26.2) | 36 (26.7) | 64 (26.0) |
| No | 261 (68.5) | 95 (70.3) | 166 (67.5) |
| Don’t know | 20 (5.3) | 4 (3.0) | 16 (6.5) |
| Smoking | |||
| Yes | 220 (57.7) | 79 (58.5) | 141 (57.3) |
| No | 161 (42.3) | 56 (41.5) | 105 (42.7) |
| Sexual Problems | |||
| Yes | 54 (14.2) | 15 (11.1) | 39 (15.9) |
| No | 319 (83.7) | 116 (85.9) | 203 (82.5) |
| Don’t know | 8 (2.1) | 4 (3.0) | 4 (1.6) |
| Mental Health Problems | |||
| Yes | 26 (6.8) | 5 (3.7) | 21 (8.5) |
| No | 353 (92.7) | 129 (95.6) | 224 (91.0) |
| Don’t know | 2 (0.5) | 1 (0.7) | 1 (0.5) |
| Obesity | |||
| Yes | 106 (27.8) | 31 (23.0) | 75 (30.5) |
| No | 248 (65.1) | 93 (68.9) | 155 (63.0) |
| Don’t know | 27 (7.1) | 11 (8.1) | 16 (6.5) |