Summary of flooding among survey participants.
<div><p>Prenatal depression can have lasting adverse impacts on child health. Little is known about the impact of floods on prenatal depression in low- and middle-income countries. We conducted a cross-sectional survey of 881 pregnant women from September 24, 2023 to July 19, 2024 in riv...
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| مؤلفون آخرون: | , , , , , , , , , , , , , |
| منشور في: |
2025
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إضافة وسم
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| _version_ | 1855368695807737856 |
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| author | Suhi Hanif (21755598) |
| author2 | Jannat-E-Tajreen Momo (21755601) Farjana Jahan (9351243) Liza Goldberg (21755604) Natalie Herbert (12326895) Afsana Yeamin (21755607) Abul Kasham Shoab (12914851) Reza Mostary Akhter (21755610) Sajal Kumar Roy (21755613) Gabriella Barratt Heitmann (18548129) Ayse Ercumen (633788) Mahbubur Rahman (2822912) Fahmida Tofail (5309834) Gabrielle Wong-Parodi (2176746) Jade Benjamin-Chung (832052) |
| author2_role | author author author author author author author author author author author author author author |
| author_facet | Suhi Hanif (21755598) Jannat-E-Tajreen Momo (21755601) Farjana Jahan (9351243) Liza Goldberg (21755604) Natalie Herbert (12326895) Afsana Yeamin (21755607) Abul Kasham Shoab (12914851) Reza Mostary Akhter (21755610) Sajal Kumar Roy (21755613) Gabriella Barratt Heitmann (18548129) Ayse Ercumen (633788) Mahbubur Rahman (2822912) Fahmida Tofail (5309834) Gabrielle Wong-Parodi (2176746) Jade Benjamin-Chung (832052) |
| author_role | author |
| dc.creator.none.fl_str_mv | Suhi Hanif (21755598) Jannat-E-Tajreen Momo (21755601) Farjana Jahan (9351243) Liza Goldberg (21755604) Natalie Herbert (12326895) Afsana Yeamin (21755607) Abul Kasham Shoab (12914851) Reza Mostary Akhter (21755610) Sajal Kumar Roy (21755613) Gabriella Barratt Heitmann (18548129) Ayse Ercumen (633788) Mahbubur Rahman (2822912) Fahmida Tofail (5309834) Gabrielle Wong-Parodi (2176746) Jade Benjamin-Chung (832052) |
| dc.date.none.fl_str_mv | 2025-07-21T17:24:34Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pgph.0004792.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Summary_of_flooding_among_survey_participants_/29611716 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Biology Molecular Biology Biotechnology Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified remote sensing data linear models adjusting lasting adverse impacts focus groups revealed fit generalized linear adjusted prevalence ratio 881 pregnant women 20 adult women mean epds scores permanent surface water past 6 months higher water levels elevated prenatal depression depression following floods surface water prenatal depression higher depression elevated depression water bodies epds ), depression due strongly influenced storing food sectional survey rural bangladesh riverine communities recorded participant key drivers income countries inadequate sanitation home modifications gendered vulnerabilities food insecurity domestic violence ci 4 ci 1 childcare difficulties child health accessing latrines 75 )). 10 ). |
| dc.title.none.fl_str_mv | Summary of flooding among survey participants. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Prenatal depression can have lasting adverse impacts on child health. Little is known about the impact of floods on prenatal depression in low- and middle-income countries. We conducted a cross-sectional survey of 881 pregnant women from September 24, 2023 to July 19, 2024 in riverine communities in rural Bangladesh. We recorded participant-reported flooding in the past 6 months, administered the Edinburgh Postnatal Depression Scale (EPDS), and obtained water level data and remote sensing data on distance to surface water. We fit generalized linear and log-linear models adjusting for month, wealth, education, age, and gestational age. We conducted 2 focus group discussions with 20 adult women. 3.6% of compounds were flooded in the past 6 months. Flooding of compounds was associated with elevated depression (adjusted prevalence ratio (aPR) = 2.08, 95% CI 1.24, 3.51) and thoughts of self-harm (aPR = 8.40, 95% CI 4.19, 16.10). Latrine flooding was associated with higher depression (aPR = 3.58, 95% CI 2.22, 5.75)). Higher water levels and shorter distance to permanent surface water were significantly associated with mean EPDS scores. Focus groups revealed that domestic violence, inadequate sanitation, gendered vulnerabilities in accessing latrines, childcare difficulties, and food insecurity were key drivers of depression due to floods. Flood preparedness strategies included relocation, storing food, and home modifications. In summary, in rural Bangladesh, flooding, higher water levels, and proximity to water bodies were associated with prenatal depression, and depression following floods was strongly influenced by inadequate sanitation and hygiene infrastructure.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_331e571dce4ece8ae8d9155fa45b4fb5 |
| identifier_str_mv | 10.1371/journal.pgph.0004792.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29611716 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Summary of flooding among survey participants.Suhi Hanif (21755598)Jannat-E-Tajreen Momo (21755601)Farjana Jahan (9351243)Liza Goldberg (21755604)Natalie Herbert (12326895)Afsana Yeamin (21755607)Abul Kasham Shoab (12914851)Reza Mostary Akhter (21755610)Sajal Kumar Roy (21755613)Gabriella Barratt Heitmann (18548129)Ayse Ercumen (633788)Mahbubur Rahman (2822912)Fahmida Tofail (5309834)Gabrielle Wong-Parodi (2176746)Jade Benjamin-Chung (832052)Cell BiologyMolecular BiologyBiotechnologyMental HealthEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedremote sensing datalinear models adjustinglasting adverse impactsfocus groups revealedfit generalized linearadjusted prevalence ratio881 pregnant women20 adult womenmean epds scorespermanent surface waterpast 6 monthshigher water levelselevated prenatal depressiondepression following floodssurface waterprenatal depressionhigher depressionelevated depressionwater bodiesepds ),depression duestrongly influencedstoring foodsectional surveyrural bangladeshriverine communitiesrecorded participantkey driversincome countriesinadequate sanitationhome modificationsgendered vulnerabilitiesfood insecuritydomestic violenceci 4ci 1childcare difficultieschild healthaccessing latrines75 )).10 ).<div><p>Prenatal depression can have lasting adverse impacts on child health. Little is known about the impact of floods on prenatal depression in low- and middle-income countries. We conducted a cross-sectional survey of 881 pregnant women from September 24, 2023 to July 19, 2024 in riverine communities in rural Bangladesh. We recorded participant-reported flooding in the past 6 months, administered the Edinburgh Postnatal Depression Scale (EPDS), and obtained water level data and remote sensing data on distance to surface water. We fit generalized linear and log-linear models adjusting for month, wealth, education, age, and gestational age. We conducted 2 focus group discussions with 20 adult women. 3.6% of compounds were flooded in the past 6 months. Flooding of compounds was associated with elevated depression (adjusted prevalence ratio (aPR) = 2.08, 95% CI 1.24, 3.51) and thoughts of self-harm (aPR = 8.40, 95% CI 4.19, 16.10). Latrine flooding was associated with higher depression (aPR = 3.58, 95% CI 2.22, 5.75)). Higher water levels and shorter distance to permanent surface water were significantly associated with mean EPDS scores. Focus groups revealed that domestic violence, inadequate sanitation, gendered vulnerabilities in accessing latrines, childcare difficulties, and food insecurity were key drivers of depression due to floods. Flood preparedness strategies included relocation, storing food, and home modifications. In summary, in rural Bangladesh, flooding, higher water levels, and proximity to water bodies were associated with prenatal depression, and depression following floods was strongly influenced by inadequate sanitation and hygiene infrastructure.</p></div>2025-07-21T17:24:34ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pgph.0004792.t001https://figshare.com/articles/dataset/Summary_of_flooding_among_survey_participants_/29611716CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296117162025-07-21T17:24:34Z |
| spellingShingle | Summary of flooding among survey participants. Suhi Hanif (21755598) Cell Biology Molecular Biology Biotechnology Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified remote sensing data linear models adjusting lasting adverse impacts focus groups revealed fit generalized linear adjusted prevalence ratio 881 pregnant women 20 adult women mean epds scores permanent surface water past 6 months higher water levels elevated prenatal depression depression following floods surface water prenatal depression higher depression elevated depression water bodies epds ), depression due strongly influenced storing food sectional survey rural bangladesh riverine communities recorded participant key drivers income countries inadequate sanitation home modifications gendered vulnerabilities food insecurity domestic violence ci 4 ci 1 childcare difficulties child health accessing latrines 75 )). 10 ). |
| status_str | publishedVersion |
| title | Summary of flooding among survey participants. |
| title_full | Summary of flooding among survey participants. |
| title_fullStr | Summary of flooding among survey participants. |
| title_full_unstemmed | Summary of flooding among survey participants. |
| title_short | Summary of flooding among survey participants. |
| title_sort | Summary of flooding among survey participants. |
| topic | Cell Biology Molecular Biology Biotechnology Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified remote sensing data linear models adjusting lasting adverse impacts focus groups revealed fit generalized linear adjusted prevalence ratio 881 pregnant women 20 adult women mean epds scores permanent surface water past 6 months higher water levels elevated prenatal depression depression following floods surface water prenatal depression higher depression elevated depression water bodies epds ), depression due strongly influenced storing food sectional survey rural bangladesh riverine communities recorded participant key drivers income countries inadequate sanitation home modifications gendered vulnerabilities food insecurity domestic violence ci 4 ci 1 childcare difficulties child health accessing latrines 75 )). 10 ). |