Table 1 Background characteristics and bivariate distribution of high-risk fertility behaviour of study participants across different socio-economic variables (n = 7757)
Variables | High-risk fertility problem | Total (%) | Chi-square value | P-value | |
|---|---|---|---|---|---|
No | Yes | ||||
Administrative division | 63.463 | < 0.001 | |||
Barishal | 126 (38.8) | 199 (61.2) | 325 (5.4) | ||
Chottogram | 445 (37.2) | 752 (62.8) | 1197 (19.9) | ||
Dhaka | 737 (47.5) | 816 (52.5) | 1553 (25.9) | ||
Khulna | 238 (39.2) | 369 (60.8) | 607 (9.4) | ||
Mymensingh | 196 (40.4) | 289 (59.6) | 485 (8.1) | ||
Rajshahi | 257 (35.4) | 468 (64.6) | 725 (12.1) | ||
Rangpur | 219 (34.2) | 422 (65.8) | 641 (10.7) | ||
Sylhet | 219 (46.8) | 249 (53.2) | 468 (7.8) | ||
Place of residence | 39.870 | < 0.001 | |||
Urban | 800 (47.0) | 903 (53.0) | 1703 (28.4) | ||
Rural | 1637 (38.1) | 2660 (61.9) | 4297 (71.6) | ||
Religion | 40.736 | < 0.001 | |||
Islam | 2134 (39.3) | 3294 (60.7) | 5428 (90.5) | ||
Hindu | 275 (52.8) | 246 (47.2) | 521 (8.7) | ||
Other | 29 (55.8) | 23 (44.2) | 52 (0.9) | ||
Maternal age | 331.40 | < 0.001 | |||
15–24 | 1117 (32.8) | 2292 (67.2) | 3409 (56.8) | ||
25–34 | 1247 (55.2) | 1014 (44.8) | 2261 (37.7) | ||
35–49 | 74 (22.3) | 258 (77.7) | 332 (5.5) | ||
Maternal BMI (kg/m2) | 66.01 | < 0.001 | |||
Underweight (≤ 18.50) | 290 (35.0) | 538 (65.0) | 828 (13.8) | ||
Normal (18.51–25.00) | 1382 (38.2) | 2232 (61.8) | 3614 (60.2) | ||
Overweight/Obese (> 25.00) | 765 (49.1) | 792 (50.9) | 1557 (26.0) | ||
Maternal education level | 527.17 | < 0.001 | |||
No education | 76 (27.8) | 197 (72.2) | 273 (4.6) | ||
Primary | 441 (29.7) | 1043 (70.3) | 1484 (24.7) | ||
Secondary | 1117 (36.1) | 1977 (63.9) | 3094 (51.6) | ||
Higher | 803 (69.9) | 345 (30.1) | 1148 (10.1) | ||
Current working status | 25.13 | < 0.001 | |||
Not Working | 1623 (43.1) | 2145 (56.9) | 3768 (62.8) | ||
Working | 815 (36.5) | 1418 (63.5) | 2233 (37.2) | ||
Husband’s education level | 295.74 | < 0.001 | |||
No education | 209 (29.7) | 495 (50.3) | 704 (11.7) | ||
Primary | 651 (33.4) | 1298 (66.6) | 1949 (32.5) | ||
Secondary | 826 (39.0) | 1293 (61.0) | 2119 (35.3) | ||
Higher | 752 (61.2) | 476 (38.8) | 1228 (20.5) | ||
Husband’s occupation | 58.57 | < 0.001 | |||
Agriculture | 350 (32.7) | 720 (67.3) | 1070 (17.8) | ||
Business | 573 (44.7) | 710 (55.3) | 1283 (21.4) | ||
Service | 1285 (43.3) | 1682 (56.7) | 2967 (49.4) | ||
Other | 230 (33.8) | 451 (66.2) | 681 (11.3) | ||
Wealth status | 207.02 | < 0.001 | |||
Poor | 696 (30.4) | 1591 (69.6) | 2287 (38.1) | ||
Middle | 462 (38.8) | 729 (61.2) | 1191 (19.8) | ||
Rich | 1280 (50.7) | 1243 (49.3) | 2523 (42.0) | ||
Watching TV | 75.25 | < 0.001 | |||
No | 658 (32.8) | 1342 (67.2) | 1998 (33.3) | ||
Yes | 1781 (44.5) | 2221 (55.5) | 4002 (66.7) | ||
Sex of the child | 0.99 | 0.332 | |||
Male | 1289 (41.2) | 1838 (58.8) | 3127 (52.1) | ||
Female | 1148 (40.0) | 1725 (60.0) | 2873 (47.9) | ||
Types of toilet use | 65.30 | < 0.001 | |||
Unimproved | 472 (31.7) | 1017 (68.3) | 1489 (24.8) | ||
Improved | 1965 (43.6) | 2546 (42.4) | 4511 (75.2) | ||