| Literature DB >> 33858864 |
Awan Afiaz1, Raaj Kishore Biswas2.
Abstract
OBJECTIVES: Menstrual hygiene management (MHM) has become a growing public health concern in many low-income and middle-income nations for its association with several health risks. This study observed types of menstrual absorbents used among women in Bangladesh and analysed the associated sociodemographic factors with the hypothesis that mass media can increase awareness regarding MHM. The study includes recommendations for possible intervention strategies designed to address this lack of awareness. DESIGN AND PARTICIPANTS: The analysis used the data from the nationally representative Bangladesh Multiple Indicator Cluster Survey 2019 that employed a two-stage, stratified cluster sampling approach, with a study sample of 54 242 women aged between 15 and 49 years. A generalised linear model was fitted to the data adjusting for survey weights and cluster/strata variations along with bivariate analyses and spatial mapping.Entities:
Keywords: health policy; public health; social medicine
Mesh:
Year: 2021 PMID: 33858864 PMCID: PMC8055124 DOI: 10.1136/bmjopen-2020-042134
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Theory of healthcare access in the context of women’s access to modern menstrual material.
Figure 2A district-wise mapping on the distribution of modern menstrual material (sanitary napkins) in Bangladesh.
The distribution of the usage of menstrual materials (traditional and modern) by sociodemographic variables (categorical and continuous) among women aged 15–49 years from the MICS 2019
| Sociodemographic variables | Group | N (%) of all study participants | N (%) of menstrual material used | P value | |
| Traditional | Modern | ||||
| Area of residence | Rural | 43 339 (79.9) | 34 592 (79.8) | 8711 (20.1) | <0.001 |
| Urban | 10 903 (20.1) | 6460 (59.2) | 4443 (40.8) | ||
| Age of women (mean (SD)) | 29.0 (9.26) | ||||
| Education level of women | No education or pre-primary | 7546 (13.9) | 7361 (97.5) | 185 (2.5) | <0.001 |
| Primary | 12 103 (22.3) | 11 332 (93.6) | 771 (6.4) | ||
| Secondary | 25 312 (46.7) | 18 878 (74.6) | 6434 (25.4) | ||
| Higher secondary or above | 9281 (17.1) | 3481 (37.5) | 5800 (62.5) | ||
| Household Wealth Index | Poorest | 10 964 (20.2) | 10 193 (93.0) | 771 (7.0) | <0.001 |
| Poorer | 11 087 (20.4) | 9909 (89.4) | 1178 (10.6) | ||
| Middle | 11 425 (21.1) | 9254 (81.0) | 2171 (19.0) | ||
| Richer | 11 129 (20.5) | 7631 (68.6) | 3498 (31.4) | ||
| Richest | 9637 (17.8) | 4065 (42.2) | 5572 (57.8) | ||
| Division | Dhaka | 11 147 (20.6) | 7674 (68.8) | 3473 (31.2) | <0.001 |
| Barishal | 4602 (8.5) | 3522 (76.5) | 1080 (23.5) | ||
| Chattogram | 10 033 (18.5) | 7336 (73.1) | 2697 (26.9) | ||
| Khulna | 8332 (15.4) | 6022 (72.3) | 2310 (27.7) | ||
| Mymensingh | 2910 (5.4) | 2519 (86.6) | 391 (13.4) | ||
| Rajshahi | 6349 (11.7) | 5074 (79.9) | 1275 (20.1) | ||
| Rangpur | 6465 (11.9) | 5435 (84.1) | 1030 (15.9) | ||
| Sylhet | 4404 (8.1) | 3470 (78.8) | 934 (21.2) | ||
| Age of household head (mean (SD)) | 45.9 (12.91) | ||||
| Sex of household head | Male | 48 401 (89.2) | 36 956 (76.4) | 11 445 (23.6) | <0.001 |
| Female | 5841 (10.8) | 4096 (70.1) | 1745 (29.9) | ||
| Education level of household head | No education or preprimary | 17 833 (32.9) | 15 400 (86.4) | 2433 (13.6) | <0.001 |
| Primary | 15 258 (28.1) | 12 542 (82.2) | 2716 (17.8) | ||
| Secondary | 14 697 (27.1) | 10 222 (69.6) | 4475 (30.4) | ||
| Higher secondary or above | 6454 (11.9) | 2888 (44.7) | 3566 (55.3) | ||
| Reading newspaper (weekly) | Never reads | 49 948 (92.1) | 39 745 (79.6) | 10 203 (20.4) | <0.001 |
| Reads | 4294 (7.9) | 1307 (30.4) | 2987 (69.6) | ||
| Listening to radio (weekly) | Never listens | 53 068 (97.8) | 40 576 (76.5) | 12 492 (23.5) | <0.001 |
| Listens | 1174 (2.2) | 476 (40.5) | 698 (59.5) | ||
| Watching television (weekly) | Never watches | 18 529 (34.2) | 16 225 (87.6) | 2304 (12.4) | <0.001 |
| Watches | 35 713 (65.8) | 24 827 (69.5) | 10 886 (30.5) | ||
| Internet Use (within last 3 months) | Did not use | 49 206 (90.7) | 38 953 (79.2) | 10 253 (20.8) | <0.001 |
| Used | 6398 (9.3) | 2099 (41.7) | 2937 (58.3) | ||
| Ownership of mobile phone | Does not own | 16 199 (29.9) | 13 452 (83.0) | 2747 (17.0) | <0.001 |
| Owns | 38 043 (70.1) | 27 600 (72.5) | 10 443 (27.5) | ||
| Women’s access to media | Without access | 170 206 (31.7) | 15 400 (89.5) | 1806 (10.5) | <0.001 |
| With access | 37 036 (68.6) | 25 652 (69.3) | 11 384 (30.7) | ||
| Total sample size | N | 54 242 | 41 052 (75.7) | 13 190 (24.3) | |
MICS, Multiple Indicator Cluster Survey.
Generalised linear model fitted to binary outcome variable type of material used (traditional, modern) with sociodemographic variables adjusting for cluster and strata-wise variations and survey weights
| Sociodemographic variables | Menstrual material used | |
| AOR (95% CI) | P value | |
| Age of women | 0.92 (0.91 to 0.92) | <0.001 |
| Area of residence (ref: rural) | ||
| Urban | 1.33 (1.21 to 1.46) | <0.001 |
| Education level of women (ref: no education or pre-primary) | ||
| Primary | 1.34 (1.10 to 1.64) | 0.003 |
| Secondary | 3.19 (2.65 to 3.83) | <0.001 |
| Higher secondary or above | 8.58 (7.03 to 10.48) | <0.001 |
| Household Wealth Index (ref: poorest) | ||
| Poorer | 1.14 (1.00 to 1.30) | 0.050 |
| Middle | 1.79 (1.57 to 2.04) | <0.001 |
| Richer | 2.77 (2.42 to 3.16) | <0.001 |
| Richest | 6.92 (5.96 to 8.04) | <0.001 |
| Division (ref: Dhaka) | ||
| Barishal | 1.17 (1.03 to 1.33) | 0.018 |
| Chattogram | 0.64 (0.57 to 0.71) | <0.001 |
| Khulna | 1.12 (1.01 to 1.25) | 0.039 |
| Mymensingh | 0.52 (0.43 to 0.63) | <0.001 |
| Rajshahi | 0.78 (0.69 to 0.87) | <0.001 |
| Rangpur | 0.71 (0.62 to 0.81) | <0.001 |
| Sylhet | 0.59 (0.49 to 0.72) | <0.001 |
| Age of household head | 1.01 (1.01 to 1.02) | <0.001 |
| Sex of household head (ref: male) | ||
| Female | 1.27 (1.15 to 1.40) | <0.001 |
| Education level of household head (ref: no education or preprimary) | ||
| Primary | 1.21 (1.11 to 1.33) | <0.001 |
| Secondary | 1.69 (1.54 to 1.85) | <0.001 |
| Higher secondary or above | 2.80 (2.49 to 3.15) | <0.001 |
| Mobile phone ownership (ref: does not own) | ||
| Owns | 1.43 (1.33 to 1.54) | <0.001 |
| Women’s access to media (ref: without access) | ||
| With access | 1.47 (1.35 to 1.60) | <0.001 |
AOR, Adjusted Odds Ratio; CI, Confidence Interval.