Sex Differences in Sentiment-Scored Vocabulary Patterns in VAERS Free-Text Narratives of Four Major Vaccine Categories
Abstract
Free-text narratives in vaccine adverse event reports contain symptom descriptions and contextual wording that can be characterized using text mining. However, lexicon-based sentiment scores in medical narratives should be interpreted as vocabulary patterns rather than direct measures of patients' emotional states. We evaluated sex-specific and vaccine-specific patterns in sentiment-scored and emotion-category assignment vocabulary in Vaccine Adverse Event Reporting System (VAERS) narratives for coronavirus disease 2019 (COVID-19), influenza, human papillomavirus (HPV), and measles-mumps-rubella (MMR) vaccines. Public VAERS reports received from 2010 to 2024 were analyzed. VAERSDATA, VAERSVAX, and VAERSSYMPTOMS were linked by VAERS_ID, with duplicate records removed. Report-level AFINN scores were normalized per 100 words. Sensitivity analyses excluded common clinical and symptom-related terms. Effect sizes, 95% confidence intervals, adjusted linear regression models with HC3 robust standard errors, and NRC emotion-category assignment profiles were evaluated. After duplicate handling, 1022460 COVID-19, 148489 influenza, 41212 HPV, and 47459 MMR reports were analyzed. Female-associated reports generally showed slightly lower primary AFINN scores than male-associated reports, although effect sizes were negligible. Excluding clinical and symptom-related terms attenuated or reversed these differences. Adjusted regression models showed only small associations between sex and AFINN scores. NRC analyses demonstrated clearer vaccine-specific than sex-specific vocabulary patterns. VAERS narratives showed only small sex-related differences but distinct vaccine-specific patterns in sentiment-scored and emotion-category assignment vocabulary. These findings should be interpreted as lexicon-derived vocabulary patterns rather than direct measures of psychological responses, vaccine perceptions, or clinical outcomes.
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BibTeX
@article{matsumura2026differences,
title = {{Sex Differences in Sentiment-Scored Vocabulary Patterns in VAERS Free-Text Narratives of Four Major Vaccine Categories}},
author = {Kae Matsumura and Megumi Horibe and Yoko Ino and Kana Sugishita and Tomofumi Yamazaki and Moe Maeno and Koichi Kageyama and Seiichiro Ito and Mugita Sato and Mahiro Chikahisa and Mayumi Kitamura and Mari Iwata and Kazuhiro Iguchi and Mitsuhiro Nakamura},
journal = {Biological and Pharmaceutical Bulletin},
year = {2026},
month = sep,
doi = {10.1248/bpb.b26-00304},
url = {https://www.jstage.jst.go.jp/article/bpb/49/9/49_b26-00304/_article},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Sex Differences in Sentiment-Scored Vocabulary Patterns in VAERS Free-Text Narratives of Four Major Vaccine Categories
AU - Kae Matsumura
AU - Megumi Horibe
AU - Yoko Ino
AU - Kana Sugishita
AU - Tomofumi Yamazaki
AU - Moe Maeno
AU - Koichi Kageyama
AU - Seiichiro Ito
AU - Mugita Sato
AU - Mahiro Chikahisa
AU - Mayumi Kitamura
AU - Mari Iwata
AU - Kazuhiro Iguchi
AU - Mitsuhiro Nakamura
PY - 2026
DA - 2026/09/26
JO - Biological and Pharmaceutical Bulletin
DO - 10.1248/bpb.b26-00304
UR - https://www.jstage.jst.go.jp/article/bpb/49/9/49_b26-00304/_article
AB - Free-text narratives in vaccine adverse event reports contain symptom descriptions and contextual wording that can be characterized using text mining. However, lexicon-based sentiment scores in medical narratives should be interpreted as vocabulary patterns rather than direct measures of patients' emotional states. We evaluated sex-specific and vaccine-specific patterns in sentiment-scored and emotion-category assignment vocabulary in Vaccine Adverse Event Reporting System (VAERS) narratives for coronavirus disease 2019 (COVID-19), influenza, human papillomavirus (HPV), and measles-mumps-rubella (MMR) vaccines. Public VAERS reports received from 2010 to 2024 were analyzed. VAERSDATA, VAERSVAX, and VAERSSYMPTOMS were linked by VAERS_ID, with duplicate records removed. Report-level AFINN scores were normalized per 100 words. Sensitivity analyses excluded common clinical and symptom-related terms. Effect sizes, 95% confidence intervals, adjusted linear regression models with HC3 robust standard errors, and NRC emotion-category assignment profiles were evaluated. After duplicate handling, 1022460 COVID-19, 148489 influenza, 41212 HPV, and 47459 MMR reports were analyzed. Female-associated reports generally showed slightly lower primary AFINN scores than male-associated reports, although effect sizes were negligible. Excluding clinical and symptom-related terms attenuated or reversed these differences. Adjusted regression models showed only small associations between sex and AFINN scores. NRC analyses demonstrated clearer vaccine-specific than sex-specific vocabulary patterns. VAERS narratives showed only small sex-related differences but distinct vaccine-specific patterns in sentiment-scored and emotion-category assignment vocabulary. These findings should be interpreted as lexicon-derived vocabulary patterns rather than direct measures of psychological responses, vaccine perceptions, or clinical outcomes.
SN - 1347-5215
SN - 0918-6158
ER -