The Association of Abuse and Symptoms Suggestive of Chronic Prostatitis/Chronic Pelvic Pain Syndrome: Results from the Boston Area Community Health Survey
Open accessAbstract
Objective To determine the effect of reported sexual, physical, or emotional abuse on the symptoms suggestive of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) and to determine the effect of race/ethnicity on these patterns.Methods The Boston Area Community Health (BACH) survey used a multi-stage stratified cluster sample to randomly sample 5,506 adults aged 30-79 from the city of Boston. BACH recruited 2,301 men (700 Black, 766 Hispanic, and 835 White). Interviewers administered questions approximating the National Institutes of Health chronic prostatitis symptom index (CPSI), and symptoms suggestive of CP/CPPS were measured by the definition of perineal and/or ejaculatory pain and CPSI pain score of 4+. Questions about previous abuse were obtained from a validated self-administered questionnaire during the home visit. Logistic regression was used to determine the effect of abuse on the likelihood of a man having symptoms suggestive of CP/CPPS.Results The prevalence of symptoms suggestive of CP/CPPS was 6.5%. Men who reported having experienced sexual, physical, or emotional abuse had increased odds (1.7-3.3) for symptoms suggestive of CP/CPPS. Previous abuse increased both the pain and urinary scores from the CPSI.Conclusion Symptoms suggestive of CP/CPPS are not uncommon in a community-based population of men. For men presenting with symptoms suggestive of CP/CPPS, clinicians may wish to consider screening for abuse.
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Most prior studies show a positive association between any kind of violence and all chronic conditions, with a significant difference between abused and not-abused women.
“Most of these studies show a positive association between any kind of violence and all chronic conditions, with a significant difference between the group of abused women and the group of not-abused women [38–44].”
From The association between violence against women and chronic pain: a systematic review and meta-analysis (2024) · cites this paper as [39]
The Introduction and Discussion report associations between abuse and several kinds of chronic pain in women, particularly chronic pelvic pain. They do not establish an association for every kind of violence and every chronic condition, or report a statistically significant difference between abused and non-abused women. The paper’s own statistical comparisons concern men. (LLM, conf=0.88)
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References 53 · Cited by 75
Research works printed but not linked: 5
- Harrop-Griffiths J, Katon W, Walker E, Holm L, Russo J, Hickok L. The association between chronic pelvic pain, psychiatric diagnoses, and childhood sexual abuse. Obstet Gynecol. 1988;71(4):589-94.
- Kish L. Survey Sampling. New York: Wiley; 1965.
- Cochran WG. Sampling Techniques, 3rd edn. New York: Wiley; 1977.
- Golding JM. Sexual assault history and limitations in physical function- ing in two general population samples. Res Nurs Health. 1996;19(1):33-44.
- Neumark-Sztainer D, Story M, Hannan PJ, Beuhring T, Resnick MD. Disordered eating among adolescents: associations with sexual/physical abuse and other familial/psychosocial factors. Int J Eat Disord. 2000;28 (3):249-58.
- Authors
- Hu, J. C., Link, C. L., McNaughton-Collins, M., Barry, M. J., & McKinlay, J. B.
- Affiliations
- Brigham and Women's Hospital (US)
- New England Research Institutes (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Hu, Jim C.
- Venue
- Journal of General Internal Medicine
- Published
- 2007-09-01
- Volume
- 22
- Issue
- 11
- Pages
- 1532-1537
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- PMC
- PMC2219794
- OpenAlex
- W2158177256
- Cited by
- 75
- References
- 53
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 2 · 2020: 8 · 2019: 4 · 2018: 6 · 2017: 3 · 2016: 1 · 2015: 4 · 2014: 7 · 2013: 4 · 2012: 10
- FWCI
- 4.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of General Internal Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK056842, U01DK56842)
- Topics
- Health Sciences › Medicine › Urology › Urinary Bladder and Prostate Research
- Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
- Health Sciences › Medicine › Urology › Urological Disorders and Treatments
- Keywords
- chronic prostatitis/chronic pelvic pain syndrome, sexual abuse, physical abuse, emotional abuse, abuse screening, perineal pain, ejaculatory pain, urinary symptoms, race and ethnicity, men's health, community-based prevalence
- MeSH terms
- Adult, Aged, Black or African American, Boston, Child, Child Abuse, Sexual, Chronic Disease, Female, Hispanic or Latino, Humans, Male, Middle Aged, Prostatitis, Sex Offenses, Prevalence, Logistic Models, Domestic Violence, Pelvic Pain, Health Care Surveys, White People
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