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Dataset Information

Gendered dimension of chronic pain patients with low and middle income: A text mining analysis.


ABSTRACT:

Methods

This is a mixed-method study using individual interviews (duration between 40-60 minutes) of 181 CNCP patients (71% females) in a tertiary Pain Care Unit, and applying the text mining methodology. Incomes (low or middle) and gender roles (productive vs. reproductive)".

Results

Gender differences were identified in the words used to describe pain impact in working and social life, domestic responsibilities, and family relationships. Albeit having similar CNCP severity and interference, women were on average 8 years older, compared to men, with longer referral time from Primary Care, less retired but more homemakers, showing a greater impact on their mental health. The most discriminating word explaining pain impact for CNCP women was "husband", for men was "work", esp

SUBMITTER: Peiro AM 

PROVIDER: S-EPMC11676948 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature