Cari Jo Clark1, Alvaro Alonso2, Susan A Everson-Rose3, Rachael A Spencer4, Sonya S Brady5, Michael D Resnick6, Iris W Borowsky7, John E Connett8, Robert F Krueger9, Viann N Nguyen-Feng10, Steven L Feng11, Shakira F Suglia12. 1. Department of Medicine, Division of Epidemiology and Community Health, Program in Health Disparities Research, University of Minnesota, 717 Delaware Street, SE, Ste 166, Minneapolis, MN 55414, United States. Electronic address: cjclark@umn.edu. 2. Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States. Electronic address: alonso@umn.edu. 3. Department of Medicine, Program in Health Disparities Research and Center for Health Equity, University of Minnesota, Minneapolis, MN, United States. Electronic address: saer@umn.edu. 4. Independent Gender Based Violence Specialist, Atlanta, GA, United States. Electronic address: ralennon@gmail.com. 5. Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, United States. Electronic address: ssbrady@umn.edu. 6. Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States. Electronic address: resni001@umn.edu. 7. Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States. Electronic address: borow004@umn.edu. 8. Division of Biostatistics, Biostatistical Design and Analysis Center, University of Minnesota, Minneapolis, MN, United States. Electronic address: john-c@umn.edu. 9. Department of Psychology, University of Minnesota, Minneapolis, MN, United States. Electronic address: krueg038@umn.edu. 10. Department of Psychology, University of Minnesota, Minneapolis, MN, United States. Electronic address: nguy2174@umn.edu. 11. Department of Internal Medicine, Hennepin County Medical Center, Minneapolis, MN, United States. Electronic address: steven.feng@hcmed.org. 12. Department of Epidemiology, Columbia University, New York, NY, United States. Electronic address: sfs2150@cumc.columbia.edu.
Abstract
BACKGROUND: Childhood maltreatment has been linked to adulthood cardiovascular disease (CVD). Little is known about the relationship between intimate partner violence (IPV) in late adolescence and young adulthood and CVD risk later in adulthood. PURPOSE: To examine whether IPV perpetration and victimization experienced in late adolescence and young adulthood are associated with CVD risk among adults in the United States and whether this relationship differs by sex. METHODS: Data include 9976 participants (50% female) in the National Longitudinal Study of Adolescent to Adult Health. Physical and sexual IPV were measured at wave 3 (2001/02) with items from the revised Conflict Tactics Scales. Participants'30-year risk of CVD was calculated at wave 4 (2008/09) using a Framingham prediction model. Linear regression models adjusted for confounders and IPV by sex interaction terms were tested to examine the relationship. RESULTS: The mean CVD risk score was 13.18% (95% CI: 12.71, 13.64). Aone-standard deviation increase in the victimization score was associated with a 0.28% (95% CI: 0.03, 0.54) increase in CVD risk. Perpetration was similarly positively associated with CVD risk (beta: 0.33, 95% CI: 0.03, 0.62). When measured as a composite, all violence types were associated with increased CVD risk but only prior exposure to both victimization and perpetration reached statistical significance (0.62%, 95% CI: 0.01, 1.22). No differences by sex were detected. CONCLUSIONS: Effect sizes are not large, but early detection of increased CVD risk in this relatively young population is notable and worthy of further study to inform the clinical response.
BACKGROUND: Childhood maltreatment has been linked to adulthood cardiovascular disease (CVD). Little is known about the relationship between intimate partner violence (IPV) in late adolescence and young adulthood and CVD risk later in adulthood. PURPOSE: To examine whether IPV perpetration and victimization experienced in late adolescence and young adulthood are associated with CVD risk among adults in the United States and whether this relationship differs by sex. METHODS: Data include 9976 participants (50% female) in the National Longitudinal Study of Adolescent to Adult Health. Physical and sexual IPV were measured at wave 3 (2001/02) with items from the revised Conflict Tactics Scales. Participants'30-year risk of CVD was calculated at wave 4 (2008/09) using a Framingham prediction model. Linear regression models adjusted for confounders and IPV by sex interaction terms were tested to examine the relationship. RESULTS: The mean CVD risk score was 13.18% (95% CI: 12.71, 13.64). Aone-standard deviation increase in the victimization score was associated with a 0.28% (95% CI: 0.03, 0.54) increase in CVD risk. Perpetration was similarly positively associated with CVD risk (beta: 0.33, 95% CI: 0.03, 0.62). When measured as a composite, all violence types were associated with increased CVD risk but only prior exposure to both victimization and perpetration reached statistical significance (0.62%, 95% CI: 0.01, 1.22). No differences by sex were detected. CONCLUSIONS: Effect sizes are not large, but early detection of increased CVD risk in this relatively young population is notable and worthy of further study to inform the clinical response.
Authors: Billy A Caceres; Kasey B Jackman; Lilian Ferrer; Kenrick D Cato; Tonda L Hughes Journal: Int J Nurs Stud Date: 2019-02-08 Impact factor: 5.837
Authors: Leslie R Halpern; Malcolm L Shealer; Rian Cho; Elizabeth B McMichael; Joseph Rogers; Daphne Ferguson-Young; Charles P Mouton; Mohammad Tabatabai; Janet Southerland; Pandu Gangula Journal: J Natl Med Assoc Date: 2017-09-18 Impact factor: 1.798
Authors: Ruth M Burgos-Muñoz; Anderson N Soriano-Moreno; Guido Bendezu-Quispe; Diego Urrunaga-Pastor; Carlos J Toro-Huamanchumo; Vicente A Benites-Zapata Journal: Heliyon Date: 2021-07-06