| Literature DB >> 23680449 |
Md Shahjahan, Shirin Jahan Mumu, Afsana Afroz, Hasina Akhter Chowdhury, Russell Kabir, Kapil Ahmed.
Abstract
BACKGROUND: The role of male's participation in reproductive healthcare is now well-recognized. The present study investigated the role of men in some selected reproductive health issues, characterizing their involvement, including factors influencing their participation in reproductive healthcare services.Entities:
Mesh:
Year: 2013 PMID: 23680449 PMCID: PMC3663737 DOI: 10.1186/1742-4755-10-27
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Socio-demographic characteristics of respondents (n = 615)
| | | |
| | ||
| 31-40 | 268 | 43.6 |
| 41+ | 116 | 18.8 |
| (mean; 34.1 SD = ±7.6) | | |
| | | |
| No education | 272 | 44.2 |
| Up to class Five | 132 | 21.5 |
| Up to HSC pass | 201 | 32.7 |
| Graduate and above | 10 | 01.6 |
| (mean; 3.7 years, SD = ±4.1) | ||
| | | |
| Farming | 263 | 42.7 |
| Service | 91 | 14.8 |
| Business | 198 | 32.2 |
| Driving | 63 | 10.3 |
| | | |
| | | |
| Yes | 118 | 19.2 |
| No | 497 | 80.8 |
| | | |
| Yes | 315 | 51.2 |
| No | 300 | 48.8 |
| | | |
| Yes | 227 | 36.9 |
| No | 388 | 63.1 |
| | | |
| <5 | 177 | 28.8 |
| 5-10 | 183 | 29.8 |
| 11+ | 255 | 41.4 |
| | | |
| Yes | 56 | 9.1 |
| No | 559 | 90.9 |
| | | |
| 1 | 158 | 30.8 |
| 2 | 154 | 30.0 |
| 3 | 108 | 21.0 |
| 4+ | 93 | 18.2 |
| (mean = 2; SD ± 1.6) | ||
Results are present as n (%) and mean (±SD). HSC: Higher Secondary Certificate.
Distribution of respondents by their inter-spousal communication
| | | |
| Yes | 354 | 58.4 |
| No | 252 | 41.6 |
| | | |
| Yes | 416 | 66.0 |
| No | 197 | 32.0 |
| Others | 12 | 2.0 |
| | | |
| Yes | 388 | 63.1 |
| No | | |
| 227 | 39.9 | |
| Yes | 585 | 95.1 |
| No | 30 | 4.9 |
Results are present as n (%).
Bivariate analysis between male’s involvement and demographic variables
| | | | |
| ≤30 | 48 | 183 | |
| 31-40 | 78 | 190 | 0.085 |
| 41+ | 26 | 90 | |
| | | | |
| No education | 42 | 222 | |
| Primary | 27 | 124 | 0.001 |
| Secondary + | 83 | 117 | |
| | | | |
| Farming | 36 | 227 | |
| Service | 36 | 55 | 0.001 |
| Business | 67 | 131 | |
| Driving | 13 | 50 | |
| | | | |
| Up to 2,500 | 50 | 180 | |
| 2,501 – 4,000 | 48 | 192 | 0.001 |
| 4,001 – 5,500 | 34 | 45 | |
| 5,501+ | 20 | 46 | |
| | | | |
| No | 28 | 182 | 0.001 |
| Yes | 124 | 281 | |
| | | | |
| <1 | 57 | 203 | |
| 2 | 54 | 100 | 0.003 |
| 3+ | 41 | 160 | |
| | | | |
| <5 | 37 | 140 | |
| 5 - 10 | 56 | 127 | 0.080 |
| 11+ | 59 | 196 | |
| | | | |
| Yes | 131 | 43 | 0.779 |
| No | 39 | 420 | |
| | | | |
| Yes | 149 | 436 | 0.055 |
| No | 3 | 27 | |
| | | | |
| Yes | 97 | 291 | 0.817 |
| No | 55 | 172 | |
χ2 test was performed to find the association. BDT: Bangladeshi Taka.
Logistic regression analysis on involvement of male in reproductive healthcare services
| −0.007 | 0.764 | 0.993 | 0.951 | 1.058 | |
| | | | | | |
| No education | Reference | | | | |
| Up to primary | -0.039 | 0.895 | 0.962 | 0.541 | 1.711 |
| Secondary+ | 0.925 | 0.001 | 2.523 | 1.439 | 4.424 |
| | | | | | |
| Farming | Reference | | | | |
| Service | 0.912 | 0.005 | 2.489 | 1.3 14 | 4.714 |
| Business | 0.814 | 0.003 | 2.256 | 1.3 14 | 3.875 |
| Driving | 0.245 | 0.521 | 1.278 | .065 | 2.699 |
| 0.000 | 0.117 | 1.000 | 1.000 | 1.000 | |
| Access to media | | | | | |
| No | Reference | | | | |
| Yes | 0.647 | 0.015 | 1.910 | 1.136 | 3.213 |
| | | | | | |
| ≤1 | Reference | | | | |
| 2 | 0.659 | 0.043 | 1.934 | 1.021 | 3.664 |
| 3+ | 0.075 | 0.851 | 1.078 | 0.492 | 2.363 |
| | | | | | |
| <5 | Reference | | | | |
| 5-10 | 0.548 | 0.081 | 1.730 | 0.934 | 3.202 |
| 11+ | 0.436 | 0.292 | 7.547 | 0.687 | 3.481 |
| | | | | | |
| No | Reference | | | | |
| Yes | 0.164 | 0.653 | 1.179 | 0.575 | 2.415 |
| | | | | | |
| No | Reference | | | | |
| Yes | 0.876 | 0.181 | 2.402 | 0.664 | 8.688 |
| | | | | | |
| No | Reference | | | | |
| Yes | −0.019 | 0.934 | 0.981 | 0.622 | 1.548 |
| −2log likelihood | 604.049 | 0.000 | | | |
| Model chi-square | 81.472 | 0.000 | 0.039 | | |
| Constant | −3.236 | ||||
*In this model, age and monthly income (BDT) were considered as continues variables.