Evidence map›Paper›PMID 27233478›Full record

ArticleInternational journal for equity in health2016

Measuring gender when you don't have a gender measure: constructing a gender index using survey data.

Peter M Smith, Mieke Koehoorn

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 4 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  10. Gender differences in work expectations and psychological distress: insights from the United States and South Korea.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
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  13. Integrating gender medicine into modern healthcare: Progress and barriers.European journal of clinical investigation · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Peter M SmithInstitute for Work & Health, 481 University Avenue, Suite 800, Toronto, ON, M5G 2E9, Canada. psmith@iwh.on.ca.
Mieke KoehoornInstitute for Work & Health, 481 University Avenue, Suite 800, Toronto, ON, M5G 2E9, Canada. mieke.koehoorn@ubc.ca.
Institute for Work & Health · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundDisentangling the impacts of sex and gender in understanding male and female differences is increasingly recognised as an important aspect for advancing research and addressing knowledge gaps in the field of work-health. However, achieving this goal in secondary data analyses where direct measures of gender have not been collected is challenging. This study outlines the development of a gender index, focused on gender roles and institutionalised gender, using secondary survey data from the Canadian Labour Force survey. Using this index we then examined the distribution of gender index scores among men and women, and changes in gender roles among male and female labour force participants between 1997 and 2014.

methodsWe created our Labour Force Gender Index (LFGI) using information in four areas: responsibility for caring for children; occupation segregation; hours of work; and level of education. LFGI scores ranged from 0 to 10, with higher scores indicating more feminine gender roles. We examined correlations between each component in our measure and our total LFGI score. Using multivariable linear regression we examined change in LFGI score for male and female labour force participants between 1997 and 2014.

resultsAlthough women had higher LFGI scores, indicating greater feminine gender roles, men and women were represented across the range of LFGI scores in both 1997 and 2014. Correlations indicated no redundancy between measures used to calculate LFGI scores. Between 1997 and 2014 LFGI scores increased marginally for men and decreased marginally for women. However, LFGI scores among women were still more than 1.5 points higher on average than for men in 2014.

conclusionsWe have described and applied a method to create a measure of gender roles using survey data, where no direct measure of gender (masculinity/femininity) was available. This measure showed good variation among both men and women, and was responsive to change over time. The article concludes by outlining an approach to use this measure to examine the relative contribution of gender and sex on differences in health status (or other outcomes) between men and women.

Indexed as

Gender IdentityAdultCanadaEmploymentFemaleHealth StatusHumansLinear ModelsMaleSex FactorsSurveys and QuestionnairesWorkforceGenderGender rolesLabour forceMeasurementSexSurvey data

Identifiers

PMID27233478
PMCPMC4884354
OpenAlexW2396362267

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.