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Record W2563246756 · doi:10.1186/s12889-016-3915-y

Factors associated with male involvement in reproductive care in Bangladesh

2017· article· en· W2563246756 on OpenAlexaff
Ghose Bishwajit, Shangfeng Tang, Sanni Yaya, Seydou Ide, Hang Fu, Manli Wang, Zhifei He, Feng Da, Zhanchun Feng

Bibliographic record

VenueBMC Public Health · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Ottawa
FundersNational Natural Science Foundation of China
KeywordsBiostatisticsMedicineReproductive healthLogistic regressionPublic healthDemographyHealth careLiteracyFamily planningGerontologyEnvironmental healthFamily medicinePopulationNursingPsychologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Men's active involvement in reproductive healthcare has shown to be positively associated with maternal and child health outcomes. Bangladesh has made appreciable progress in its pursuance of maternal mortality related goals in the framework of the MDGs. However, there remains a lot to be accomplished to realise the long-term goals for which active participation of male counterparts in reproductive care is crucial. Therefore, the objective of the present study was to investigate factors associated with male involvement in reproductive health among Bangladeshi men. METHODS: We used data from Bangladesh Demographic and Health Survey (BDHS) conducted in 2011. Study participants were 1196 married men, aged between 15 and 69 years and living in both urban and rural households. Level of male involvement (outcome variable) was measured based on the responses on knowledge, awareness and practice regarding reproductive health. Chi-square tests and multivariable logistic regression models were performed for data analysis. RESULTS: Out of 1196 participants, only 40% were found to be active about partners' reproductive healthcare. Chi-square test showed significant association between active involvement and ever hearing about family planning (FP) in television, learning about FP through community health events, community health workers and poster/billboard. Results from logistic regression analysis revealed that type of residency [p = 0.004, AOR = 0.666, 95% CI = 0.504-0.879], literacy [secondary/higher education- p = 0.006. AOR = 0.579, 95% CI = 0.165-0.509], learning about family planning from Newspaper [p < 0.001. AOR = 1.952, 95% CI = 1.429-2.664], and television [p = 0.017. AOR = 1.514 95% CI = 1.298-1.886], and having been communicated about family planning by community health workers [p = 0.017. AOR = 1.946, 95% CI = 1.129-3.356] were significantly associated with active involvement of men in reproductive health issues. CONCLUSIONS: Level of male involvement was associated with schooling experience, type of residency and exposure to electronic media. National health policy programs aimed at promoting male involvement in reproductive care should focus on improving knowledge and awareness of reproductive health though community health education programs with a special focus in the rural areas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.335
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations81
Published2017
Admission routes1
Has abstractyes

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