Assessing income heterogeneity of female sex as risk factor for long COVID: a meta-analytic investigation

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Abstract
Women have a higher risk of Long COVID, defined as symptoms persisting for three or more months after SARS-CoV-2 infection. This study examines whether the elevated risk of Long COVID among women varies across income subgroups in a nationally representative sample of the U.S. population. Using data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS), we estimated adjusted odds ratios for Long COVID associated with female sex, stratified by four age categories and 11 income groups. We conducted random-effects meta-analyses of income subgroup estimates within each age category and assessed heterogeneity using Cochran's Q, I2 statistics, prediction intervals, and Galbraith plots. Among younger age groups (18-34, 35-49, and 50-64 years), Cochran's Q ranged from 7.70 to 10.98 (p > 0.10), and I2 was 0.00%, indicating no significant heterogeneity across income groups. In the ≥65 age group, Cochran's Q was 18.35 (p = 0.0494), and I2 was 21.96%, suggesting modest heterogeneity. The 95% prediction interval for the ≥65 group (1.121-1.978) was wider than those for younger groups: 1.437-1.975 (18-34 years), 1.551-2.019 (35-49 years), and 1.355-1.766 (50-64 years).

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