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Spousal age difference and associated predictors of intimate partner violence in Nigeria

Overview of attention for article published in BMC Public Health, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 blog
twitter
7 tweeters

Citations

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41 Dimensions

Readers on

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172 Mendeley
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Title
Spousal age difference and associated predictors of intimate partner violence in Nigeria
Published in
BMC Public Health, February 2018
DOI 10.1186/s12889-018-5118-1
Pubmed ID
Authors

Ayo Stephen Adebowale

Abstract

The growth in Intimate Partner Violence (IPV) cases among couples in Nigeria has been significant in recent years. Victims, which are often females, face numerous health challenges, including early death. I examined the linkages between spousal age differences and IPV in Nigeria. The couples recode data section of the 2013 Nigeria Demographic Health and Survey was used (n = 6765). Intimate partner violence was measured using 13-item questions. Data were analyzed using the logistic regression model (α = .05). The mean spousal age difference was 8.20 ± 5.0 years. About 23.5, 18.0, 13.5 and 4.7% of couples surveyed had experienced some form of IPV, emotional, physical and sexual violence respectively. Also, IPV prevalence was 27.0, 23.7, 22.0 and 18.7% among couples with age differences of 0-4, 5-9, 10-14 and ≥15 years respectively; this pattern was exhibited across all domains of IPV. Among women who experienced physical violence, 20.5% had only bruises, 8.0% had at least one case of eye injuries, sprains and/or dislocations, and 3.7% had either one or more cases of wounds, broken bones or broken teeth. The identified predictors of IPV were: family size, ethnicity, household wealth, education, number of marital unions and husband drinks alcohol. The unadjusted likelihood of IPV was 1.60 (C.I = 1.30-1.98, p < 0.001) and 1.35 (C.I = 1.10-1.64, p < 0.01) higher in households where the spousal age difference was 0-4 and 5-9 years respectively, than the likelihoods among those with a spousal age difference ≥ 15 years, but the strength of the association weakens when other variables were included in the model. The level of IPV was generally high in Nigeria, but it reduced with increasing spousal age difference. This study underscores the need for men to reach a certain level of maturity before marriage, as this is likely to reduce the level of IPV in Nigeria.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 14%
Student > Ph. D. Student 16 9%
Researcher 15 9%
Student > Bachelor 14 8%
Student > Postgraduate 12 7%
Other 47 27%
Unknown 44 26%
Readers by discipline Count As %
Medicine and Dentistry 30 17%
Social Sciences 19 11%
Nursing and Health Professions 18 10%
Psychology 11 6%
Agricultural and Biological Sciences 5 3%
Other 35 20%
Unknown 54 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2023.
All research outputs
#2,464,894
of 24,323,943 outputs
Outputs from BMC Public Health
#2,854
of 16,042 outputs
Outputs of similar age
#57,329
of 447,355 outputs
Outputs of similar age from BMC Public Health
#73
of 260 outputs
Altmetric has tracked 24,323,943 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,042 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.