| Literature DB >> 35692218 |
Shannon N Wood1,2, Rachel Milkovich1, Mary Thiongo3, Meagan E Byrne1,2, Bianca Devoto1, Grace Wamue-Ngare4,5, Michele R Decker1,2, Peter Gichangi3,6,7.
Abstract
Background: Access to menstrual hygiene products enables positive health for adolescent girls and young women (AGYW). Among AGYW in Nairobi, Kenya, this prospective mixed-methods study characterised menstrual health product-access challenges at two time points during the COVID-19 pandemic; assessed trajectories over the pandemic; and examined factors associated with product-access trajectories.Entities:
Keywords: Adolescent girls and young women; COVID-19; Kenya; Menstrual health
Year: 2022 PMID: 35692218 PMCID: PMC9165989 DOI: 10.1016/j.eclinm.2022.101482
Source DB: PubMed Journal: EClinicalMedicine ISSN: 2589-5370
Menstrual health product-access challenges among young women during the COVID-19 pandemic.
| 2020 Survey Wave (n= 611) | 2021 Survey Wave (n= 591) | |
|---|---|---|
| % (n) | ||
| 52·0 (318) | 30·3 (179) | |
| Lack of money to buy products | 45·1 (275) | 26·4 (156) |
| Could not go to store to buy | 7·8 (48) | 1·6 (10) |
| Was not comfortable asking someone to go to store | 5·1 (31) | 3·0 (18) |
| Products unavailable at store | 3·0 (18) | 0·7 (4) |
| Other | 0·3 (2) | 0·9 (5) |
| Organization that was supporting us closed | – | 2·7 (16) |
| I do not see the people who used to give me products anymore | – | 2·3 (14) |
– not a response option during 2020 data collection.
not mutually exclusive.
Multivariable logistic regression of any menstrual health product-access challenge during the COVID-19 pandemic, compared to no challenge, by sociodemographic and economic factors at 2020 survey.
| Overall Sample Distribution | Any Access Challenge During COVID-19 Pandemic | ||
|---|---|---|---|
| Column % | Row % | aOR (95% CI) | |
| Age | |||
| 16-20 years | 29.9 | 65.8 | ref |
| 20-25 years | 70.1 | 60.4 | 1·22 (0·61, 2·41) |
| Education | |||
| Secondary or less | 64.3 | ||
| College/University | 35.8 | ref | |
| Main activity prior to COVID-19 | |||
| Student, caregiver, and other | 51.9 | 63.0 | ref |
| Employed | 48.1 | 60.9 | 0·81 (0·49, 1·35) |
| Household composition | |||
| Living independent of parents | 32.8 | 55.8 | ref |
| Living with parents | 67.2 | 65.0 | |
| Household SES tertile | |||
| Highest | 41.0 | 61.1 | ref |
| Middle | 22.8 | 59.2 | 0·78 (0·43, 1·40) |
| Lowest | 36.3 | 64.8 | 0·83 (0·47, 1·47) |
| Prime earner in household | |||
| No | 85.3 | 60.2 | ref |
| Yes | 14.7 | 72.4 | |
| Ability to meet basic needs | |||
| Very/somewhat able | 46.6 | ref | |
| Not very/not at all able | 53.4 | ||
Adjusted models inclusive of all variables within the table.
Bolded values indicate p<0·05.
p-value to assess difference in any menstrual health product-access challenge across factors from design-based F statistic.
p<0.05.
p<0.01.
p<0.001.
Bivariate analysis of menstrual health product-access challenge trajectory from 2020-2021, by sociodemographic and economic factors at 2020 survey (n=591).
| No difficulty(n=225) | Resolved(n=188) | Acquired(n=60) | Sustained(n=119) | p-value | |
|---|---|---|---|---|---|
| row % | |||||
| Total % | 38·0 | 31·7 | 10·2 | 20·1 | |
| Age | 0.06 | ||||
| 16-20 years | 34·2 | 31·2 | 18·0 | 16·6 | |
| 21-25 years | 39·6 | 31·9 | 6·9 | 21·5 | |
| Education | |||||
| Less than secondary | 31·0 | 35·6 | 11·2 | 22·2 | |
| Secondary or above | 50·6 | 24·8 | 8·4 | 16·2 | |
| Main activity prior to COVID-19 | 0·09 | ||||
| Student, caregiver, and other | 37·0 | 33·1 | 11·4 | 18·5 | |
| Employed | 39·1 | 30·3 | 8·9 | 21·7 | |
| Household composition | 0·06 | ||||
| Living with parents | 35·0 | 34·1 | 12·3 | 18·7 | |
| Living independent of parents | 44·3 | 26·9 | 5·9 | 22·9 | |
| Household SES tertile | 0·07 | ||||
| Highest | 39·0 | 32·0 | 14·0 | 15·1 | |
| Middle | 40·8 | 28·9 | 13·2 | 17·2 | |
| Lowest | 35·2 | 33·2 | 4·1 | 27·5 | |
| Prime earner in household | 0·11 | ||||
| No | 39·8 | 30·9 | 10·8 | 18·5 | |
| Yes | 27·6 | 36·4 | 6·7 | 29·3 | |
| Ability to meet basic needs | |||||
| Very/somewhat able | 46·9 | 24·0 | 12·6 | 16·4 | |
| Not very/not at all able | 30·2 | 38·4 | 8·1 | 23·3 | |
| Transactional relationship in past year | 0·49 | ||||
| No transactional relationship | 37·9 | 33·7 | 10·9 | 17·5 | |
| Transactional relationship | 38·2 | 28·5 | 9·0 | 24·3 | |
Bolded values indicate p<0·05.
p-value to assess difference in menstrual health product-access challenge trajectory across factors from design-based F statistic.
Figure 1Sankey diagram depicting changes in menstrual health product-access challenge trajectories among young women in Nairobi, Kenya from 2020 to 2021 survey waves (n=591). Sankey diagram of transitions between any menstrual health product-access challenge and no menstrual health product-access challenge between 2020 survey and 2021 survey. Red indicates continued product-access challenges at both time points. Green indicates no product-access challenge at either time point. Yellow indicates transition from either a product-access challenge to no product-access challenge or from no product-access challenge to product-access challenge between survey waves.
Multinomial analysis of changes in menstrual health product-access challenge trajectory, compared to those with no product-access challenges, by sociodemographic and economic factors at 2020 survey (n=591).
| MultivariableaRRR (95% CI) | |||
|---|---|---|---|
| Resolved(n=188) | Acquired(n=60) | Sustained(n=119) | |
| Age | |||
| 16-20 years | ref | ref | ref |
| 20-25 years | 1·57 (0·74, 3·36) | 0·44 (0·18, 1·11) | 1·54 (0·59, 3·99) |
| Education | |||
| Secondary or less | 1·57 (0·64, 3·85) | ||
| College/University | ref | ref | ref |
| Main activity prior to COVID-19 | |||
| Student, caregiver, and other | ref | ref | ref |
| Employed | 0·72 (0.40, 1·30) | 1·27 (0·54, 2·97) | 0·86 (0·42, 1·79) |
| Household composition | |||
| Living independent of parents | ref | ref | ref |
| Living with parents | 2·30 (0·97, 5·47) | 1·43 (0·74, 2·77) | |
| Household SES tertile | |||
| Highest | ref | ref | ref |
| Middle | 0·71 (0·36, 1·41) | 0·79 (0·27, 2·31) | 0·92 (0·41, 2·06) |
| Lowest | 0·76 (0·40, 1·46) | 0·30 (0·08, 1·11) | 1·37 (0·67, 2·79) |
| Prime earner in household | |||
| No | ref | ref | ref |
| Yes | 2·11 (0·61, 7·28) | 2·18 (0·93, 5·14) | |
| Ability to meet basic needs | |||
| Very/somewhat able | ref | ref | ref |
| Not very/not at all able | 1·27 (0·49, 3·30) | ||
Adjusted models inclusive of all variables within the table.
Bolded values indicate p<0·05.
p<0·10.
p<0·05.
p<0·01.
p<0·001.
Logistic regression of changes menstrual health product-access challenge trajectories (acquired vs. no challenge and sustained vs. resolved), by sociodemographic and economic factors at 2020 survey.
| MultivariableaOR (95% CI) | ||
|---|---|---|
| Acquired(referent= No Challenge) | Sustained(referent=Resolved) | |
| Age | ||
| 16-20 years | ref | ref |
| 20-25 years | 0·44 (0·16, 1·16) | 0·93 (0·38, 2·30) |
| Education | ||
| Secondary or less | 1·77 (0·69, 4·53) | 0·91 (0·45, 1·85) |
| College/University | ref | ref |
| Main activity prior to COVID-19 | ||
| Student, caregiver, and other | ref | ref |
| Employed | 1·09 (0·40, 3·02) | 1·09 (0·52, 2·29) |
| Household composition | ||
| Living independent of parents | ref | ref |
| Living with parents | 0·66 (0·33, 1·34) | |
| Household SES tertile | ||
| Highest | ref | ref |
| Middle | 0·89 (0·33, 2·45) | 1·43 (0·61, 3·34) |
| Lowest | 0·27 (0·07, 1·10) | 1·83 (0·89, 3·76) |
| Prime earner in household | ||
| No | ref | ref |
| Yes | 3·91 (0·84, 18·15) | 1·00 (0·43, 2·32) |
| Ability to meet basic needs | ||
| Very/somewhat able | ref | ref |
| Not very/not at all able | 1·39 (0·54, 3·59) | 0·72 (0·39, 1·33) |
Bolded values indicate p<0·05.
p<0·10.
p<0·05, ⁎⁎p<0·01, ⁎⁎⁎p<0·001.