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Gender difference in the point prevalence, symptoms, comorbidity, and correlates of depression: findings from the Lagos State Mental Health Survey (LSMHS), Nigeria

Overview of attention for article published in Archives of Women's Mental Health, March 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
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99 Mendeley
Title
Gender difference in the point prevalence, symptoms, comorbidity, and correlates of depression: findings from the Lagos State Mental Health Survey (LSMHS), Nigeria
Published in
Archives of Women's Mental Health, March 2018
DOI 10.1007/s00737-018-0839-9
Pubmed ID
Authors

Abiodun O. Adewuya, Olurotimi A. Coker, Olayinka Atilola, Bolanle A. Ola, Mathew P. Zachariah, Tomilola Adewumi, Olufemi Olugbile, Adedolapo Fasawe, Olajide Idris

Abstract

It is still unclear whether the gender difference in the rate of depression cuts across cultures or is specific to some depressive symptoms. This study evaluated the gender difference in current prevalence, symptoms, comorbidity, and correlates of depression in Lagos, Nigeria. A total of 11,246 adult participants (6525 females and 4712 males) in a face-to-face household survey were assessed for symptoms of depression. They were also assessed for symptoms of anxiety, somatic symptoms, alcohol and substance use disorders, and disability. The difference between the point prevalence for symptoms of depression in females (6.3%, s.e 0.3) and males (4.4%, s.e 0.3) was significant (OR 1.28, 95% CI 1.14-1.59). Compared to males, females had significantly higher rates for anhedonia (OR 1.20), hypersomnia (OR 2.15), fatigue (OR 1.49), guilt/worthless feeling (OR 1.41), poor concentration (OR 1.32), psychomotor retardation (OR 1.51), and suicidal ideation (OR 1.32). However, poor appetite (OR 0.69) and comorbidity with alcohol use (OR 0.25) was significantly lower in females compared to males. The significantly higher rates for depression in females were only restricted to below 45 years and higher socioeconomic status. Our study further contributed to the growing literature suggesting that the gender differences in rates of depression not only cut across many cultures, but most pronounced with atypical symptoms, not affected by recall bias and seems to disappear with increasing age. These need to be considered when formulating mental health policies for equitable and acceptable health services.

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The data shown below were collected from the profiles of 4 X users 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Student > Master 11 11%
Researcher 11 11%
Student > Postgraduate 8 8%
Student > Ph. D. Student 7 7%
Other 18 18%
Unknown 30 30%
Readers by discipline Count As %
Medicine and Dentistry 26 26%
Psychology 10 10%
Nursing and Health Professions 7 7%
Social Sciences 5 5%
Neuroscience 3 3%
Other 11 11%
Unknown 37 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 December 2020.
All research outputs
#7,452,869
of 23,041,514 outputs
Outputs from Archives of Women's Mental Health
#456
of 932 outputs
Outputs of similar age
#130,016
of 329,912 outputs
Outputs of similar age from Archives of Women's Mental Health
#17
of 31 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 932 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 50% 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 329,912 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.