| Literature DB >> 35701065 |
Quraish Sserwanja1, Abigail Sitsope Sepenu2, Daniel Mwamba3, David Mukunya4,5.
Abstract
OBJECTIVE: Teenage pregnancies and childbirths are associated with negative health outcomes. Access to health information enables adolescents to make appropriate decisions. However, the relationship between access to health information through mass media and teenage pregnancy has not received much attention in existing literature. We therefore examined the association between access to mass media and teenage pregnancy in Zambia.Entities:
Keywords: Epidemiology; MEDICAL JOURNALISM; PUBLIC HEALTH
Mesh:
Year: 2022 PMID: 35701065 PMCID: PMC9198694 DOI: 10.1136/bmjopen-2021-052684
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Background characteristics of adolescents as per 2018 Zambia Demographic and Health Survey
| Characteristics | N=3000 | Percent |
| Teenage pregnancy | ||
| Yes | 897 | 29.9 |
| No | 2103 | 70.1 |
| Mobile phone use | ||
| Yes | 944 | 31.5 |
| No | 2056 | 68.5 |
| Listening to radio | ||
| Almost every day | 386 | 12.9 |
| At least once a week | 499 | 16.6 |
| Less than once a week | 409 | 13.6 |
| Not at all | 1707 | 56.9 |
| Reading newspaper | ||
| Almost every day | 100 | 3.3 |
| At least once a week | 274 | 9.1 |
| Less than once a week | 303 | 10.1 |
| Not at all | 2323 | 77.5 |
| Watching TV | ||
| Almost every day | 808 | 26.9 |
| At least once a week | 296 | 9.9 |
| Less than once a week | 190 | 6.3 |
| Not at all | 1706 | 56.9 |
| Internet use | ||
| Yes | 316 | 10.5 |
| No | 2684 | 89.5 |
| Household size | ||
| 6 and above | 2017 | 67.2 |
| Less than 6 | 983 | 32.8 |
| Residence | ||
| Urban | 1323 | 44.1 |
| Rural | 1677 | 55.9 |
| Provinces | ||
| Central | 297 | 9.9 |
| Copperbelt | 491 | 16.4 |
| Eastern | 342 | 11.4 |
| Luapula | 253 | 8.4 |
| Lusaka | 475 | 15.8 |
| Muchinga | 191 | 6.4 |
| Northern | 248 | 8.3 |
| North Western | 186 | 6.2 |
| Southern | 327 | 10.9 |
| Western | 190 | 6.3 |
| Working status | ||
| Not working | 2477 | 82.6 |
| Working | 523 | 17.4 |
| Marital status | ||
| Not married | 2563 | 85.4 |
| Married | 437 | 14.6 |
| Education level | ||
| Secondary | 1618 | 53.9 |
| Primary education | 1283 | 42.8 |
| No education | 99 | 3.3 |
| Wealth index | ||
| Richest | 709 | 23.6 |
| Richer | 655 | 21.8 |
| Middle | 585 | 19.5 |
| Poorer | 541 | 18.0 |
| Poorest | 510 | 17.0 |
| Age | ||
| 15–17 | 1735 | 57.8 |
| 18–19 | 1265 | 42.2 |
| Sex of household head | ||
| Male | 2166 | 72.2 |
| Female | 834 | 27.8 |
| Risky sexual behaviour | ||
| No | 1647 | 54.9 |
| Yes | 1353 | 45.1 |
| Knowledge of any modern contraceptive | ||
| Yes | 2845 | 94.8 |
| No | 155 | 5.2 |
TV, television.
Associations between media exposure and teenage pregnancy among adolescents in Zambia as per ZDHS 2018
| Characteristics | Teenage pregnancy | Univariable | P value | Adjusted model |
| Mobile phone use | 0.173 | |||
| No | 626 (69.8) | 1 | 1 | |
| Yes | 271 (30.2) | 0.92 (0.74 to 1.15) | 1.05 (0.70 to 1.57) | |
| Listening to radio | <0.001 | |||
| Not at all | 583 (65.0) | 1 | 1 | |
| Less than once a week | 97 (10.8) | 0.78 (0.51 to 1.20) | ||
| At least once a week | 116 (12.9) | 0.75 (0.47 to 1.18) | ||
| Almost every day | 101 (11.3) | 0.80 (0.48 to 1.35) | ||
| Reading newspaper | ||||
| Not at all | 776 (86.5) | 1 | <0.001 | 1 |
| Less than once a week | 69 (7.7) | 0.98 (0.57 to 1.67) | ||
| At least once a week | 45 (5.0) | 0.73 (0.43 to 1.25) | ||
| Almost every day | 7 (0.8) | |||
| Watching TV | <0.001 | |||
| Not at all | 671 (74.8) | 1 | 1 | |
| Less than once a week | 55 (6.1) | 1.19 (0.58 to 2.44) | ||
| At least once a week | 62 (6.9) | 0.90 (0.48 to 1.68) | ||
| Almost every day | 109 (12.2) | 1.13 (0.55 to 2.31) | ||
| Internet use | ||||
| No | 860 (95.9) | 1 | <0.001 | 1 |
| Yes | 37 (4.1) | |||
| Age | <0.001 | |||
| 15–17 | 296 (33.0) | 1 | 1 | |
| 18–19 | 601 (67.0) | |||
| Residence | <0.001 | |||
| Rural | 637 (71.0) | 1 | 1 | |
| Urban | 260 (29.0) | |||
| Marital status | <0.001 | |||
| Not married | 502 (56.0) | 1 | 1 | |
| Married | 395 (44.0) | |||
| Wealth index | <0.001 | |||
| Richest | 54 (6.0) | 1 | 1 | |
| Richer | 178 (19.8) | |||
| Middle | 215 (24.0) | |||
| Poorer | 211 (23.5) | |||
| Poorest | 239 (26.6) | |||
| Risky sexual behaviour | <0.001 | |||
| No | 61 (6.8) | 1 | 1 | |
| Yes | 836 (93.2) | |||
| Sex of household head |
| |||
| Male | 676 (75.4) | 1 | 1 | |
| Female | 221 (24.6) | 1.03 (0.76 to 1.41) | ||
| Provinces | <0.001 | |||
| Western | 82 (9.1) | 1 | 1 | |
| Southern | 142 (15.8) | 1.02 (0.62 to 1.67) | 1.67 (0.85 to 3.29) | |
| North Western | 67 (7.5) | 0.73 (0.49 to 1.09) | 0.67 (0.40 to 1.12) | |
| Northern | 66 (7.4) | 0.67 (0.32 to 1.41) | ||
| Muchinga | 56 (6.2) | 0.72 (0.36 to 1.45) | ||
| Lusaka | 71 (7.9) | 0.86 (0.42 to 1.76) | ||
| Luapula | 77 (8.6) | 0.81 (0.48 to 1.38) | ||
| Eastern | 138 (15.4) | 0.89 (0.61 to 1.28) | 0.96 (0.56 to 1.64) | |
| Copperbelt | 104 (11.6) | 1.66 (0.90 to 3.06) | ||
| Central | 94 (10.5) | 1.16 (0.68 to 1.98) | ||
| Working status | <0.001 | |||
| Not working | 632 (70.5) | 1 | 1 | |
| Working | 265 (29.5) | 1.39 (0.97 to 1.99) | ||
| Education level | <0.001 | |||
| Post-primary | 380 (42.3) | 1 | 1 | |
| Primary education | 476 (53.1) | 1.92 (1.54 to 2.40) | 0.90 (0.63 to 1.28) | |
| No education | 41 (4.6) | 2.35 (1.48 to 3.74) | 0.74 (0.32 to 1.71) | |
| Household size | <0.001 | |||
| 6 and above | 518 (57.7) | 1 | 1 | |
| Less than 6 | 379 (42.3) | 0.71 (0.50 to 1.01) | ||
| Knowledge of any modern contraception | <0.001 | |||
| Yes | 886 (98.8) |
| 1 | |
| No | 11 (1.2) |
Bold significant at p value less than 0.05.
AOR, adjusted OR; TV, television; ZDHS, Zambia Demographic and Health Survey.