| Literature DB >> 35059106 |
Turnwait Otu Michael1, Richard Dele Agbana2, Tolulope Funmilola Ojo2, Olasumbo Bilikisu Kukoyi2, Alfred Stephen Ekpenyong3, Damian Ukwandu4.
Abstract
INTRODUCTION: the unmet need for family planning is a global health burden. The lockdown occasioned by the COVID-19 pandemic has reduced access to contraceptives, especially in the developing countries. This study examined the predictors of the unmet need for family planning during the COVID-19 pandemic lockdown in Nigeria.Entities:
Keywords: COVID-19; Nigeria; contraceptive methods; pandemic lockdown; unmet need for family planning
Mesh:
Year: 2021 PMID: 35059106 PMCID: PMC8728804 DOI: 10.11604/pamj.2021.40.186.27656
Source DB: PubMed Journal: Pan Afr Med J
background characteristics of respondents
| Characteristics | Frequency (N=1,404) | Percentage |
|---|---|---|
|
| ||
| Male | 738 | 52.6 |
| Female | 666 | 47.4 |
|
| ||
| 18-25 | 99 | 7.1 |
| 26-33 | 603 | 42.9 |
| 34-41 | 435 | 31.0 |
| 42-49 | 234 | 16.7 |
| 50+ | 33 | 2.4 |
|
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| Single | 483 | 34.4 |
| Married | 825 | 58.8 |
| Cohabiters | 69 | 4.9 |
| Divorced/separated | 27 | 1.9 |
|
| ||
| Primary | 117 | 8.3 |
| Secondary | 147 | 10.5 |
| Tertiary | 1140 | 81.2 |
|
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| Christianity | 923 | 65.8 |
| Islam | 462 | 32.9 |
| Other | 18 | 1.3 |
|
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| Hausa | 247 | 17.6 |
| Yoruba | 678 | 48.3 |
| Igbo | 182 | 13.0 |
| Other | 297 | 21.2 |
|
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| Urban | 999 | 71.2 |
| Suburban | 177 | 12.6 |
| Rural | 228 | 16.2 |
|
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| 0 | 540 | 38.5 |
| 1-2 | 435 | 31.0 |
| 3-4 | 321 | 22.9 |
| 5 or more | 108 | 7.7 |
Figure 1distribution of respondents by contraceptive methods ever-used
Figure 2reasons for non-access to contraceptive methods during the COVID-19 lockdown
odds ratio for unmet need for family planning logistic regression models by respondents’ selected characteristics
| Characteristics | Model 1 | Model 2 | Model 3 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Odds ratio | 95% C.I. | Odds ratio | 95% C.I. | Odds ratio | 95% C.I. | ||||
|
| |||||||||
| Male (RC) | 1.000 | 1.000 | |||||||
| Female | 0.816 | 0.62 | 1.05 | 0.856 | 0.64 | 1.12 | |||
|
| |||||||||
| 18-25 (RC) | 1.000 | 1.000 | |||||||
| 26-33 | 1.992** | 1.11 | 3.55 | 1.912* | 1.02 | 3.55 | |||
| 34-41 | 2.238** | 1.19 | 4.19 | 1.748 | 0.87 | 3.49 | |||
| 42+ | 1.190 | 0.61 | 2.30 | 0.820 | 0.37 | 1.78 | |||
|
| |||||||||
| Single (RC) | 1.000 | 1.000 | |||||||
| Married/cohabiters | 6.847*** | 5.05 | 9.84 | 3.693*** | 2.44 | 5.58 | |||
| Divorced/separated | 0.852 | 0.33 | 2.19 | 0.638 | 0.63 | 0.22 | |||
|
| |||||||||
| Below tertiary (RC) | 1.000 | 1.000 | |||||||
| Tertiary | 0.373*** | 0.21 | 0.63 | 0.272*** | 0.13 | 0.54 | |||
|
| |||||||||
| Hausa (RC) | 1.000 | 1.000 | |||||||
| Yoruba | 2.686*** | 1.77 | 4.07 | 1.642* | 1.02 | 2.62 | |||
| Igbo | 2.119** | 1.29 | 3.46 | 1.768* | 1.04 | 2.98 | |||
| Other | 2.645*** | 1.68 | 4.15 | 2.164** | 1.33 | 3.52 | |||
|
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| Urban (RC) | 1.000 | 1.000 | |||||||
| Suburban | 1.274 | 0.88 | 1.84 | 1.479 | 0.98 | 2.23 | |||
| Rural | 0.543*** | 0.38 | 0.76 | 0.554** | 0.36 | 0.85 | |||
|
| |||||||||
| 0 (RC) | 1.000 | 1.000 | |||||||
| 1-2 | 7.541*** | 5.61 | 9.12 | 2.911*** | 1.84 | 4.58 | |||
| 3-4 | 7.198*** | 5.20 | 9.96 | 3.873*** | 2.32 | 6.45 | |||
| 5+ | 1.189 | 0.75 | 1.87 | 0.228* | 0.22 | 0.88 | |||
| Model chi-square | 321.347*** | 327.584*** | 410.441*** | ||||||
| Nagelkerke R square | 0.274 | 0.279 | 0.339 | ||||||
| -2 Log likelihood | 1608.954 | 1602.717 | 1519.860 | ||||||
Significant at p<0.05*; p<0.01**; p<0.001***; RC = reference category; N = 1,403