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Unique Risk and Protective Factors for Partner Aggression in a Large Scale Air Force Survey

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Abstract

The objective of this study is to examine risk factors of physical aggression against a partner in a large representative Active Duty Air Force sample. A stratified sample of 128,950 United States Active Duty members were invited to participate in an Air Force-wide anonymous online survey across 82 bases. The final sample (N = 52,780) was weighted to be representative of the United States Air Force. Backward stepwise regression analyses were conducted to identify unique predictors of partner physical aggression perpetration within and across different ecological levels (individual, family, organization, and community levels). Relationship satisfaction, alcohol problems, financial stress, and number of years in the military were identified as unique predictors of men’s and women’s perpetration of violence against their partner across ecological levels. Parental status, support from neighbors, personal coping, and support from formal agencies also uniquely predicted men’s but not women’s perpetration of violence across ecological levels. This study identified specific risk factors of partner violence that may be targeted by prevention and intervention efforts aimed at different levels of impact (e.g., family interventions, community-wide programs).

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References

  1. Schafer, J., Caetano, R., & Clark, C. L. (1998). Rates of intimate partner violence in the United States. American Journal of Public Health, 88, 1702–1704.

    Article  CAS  PubMed  Google Scholar 

  2. Campbell, J. C., & Lewandowski, L. A. (1997). Mental and physical effects of intimate partner violence on women and children. Psychiatric Clinics of North America, 20, 353–374.

    Article  CAS  PubMed  Google Scholar 

  3. Cascardi, M., Langhinrichsen, J., & Vivian, D. (1992). Marital aggression: Impact, injury, and health correlates for husbands and wives. Archives of Internal Medicine, 152, 1178–1184.

    Article  CAS  PubMed  Google Scholar 

  4. Cascardi, M., O’Leary, K. D., & Schlee, K. A. (1999). Co-occurrence and correlates of post traumatic stress disorder and major depression in physically abused women. Journal of Family Psychology, 14, 227–249.

    Google Scholar 

  5. Coker, A. L., Davis, K. E., Arias, I., Desai, S., Sanderson, M., Brandt, H. S., et al. (2002). Physical and mental health effects of intimate partner violence for men and women. American Journal of Preventive Medicine, 24, 260–268.

    Article  Google Scholar 

  6. Stets, J. E., & Straus, M. A. (1990). Gender differences in reporting marital violence and its medical and psychological consequences. In M. A. Straus & R. J. Gelles (Eds.), Physical violence in American families (pp. 151–165). New Brunswick, NJ: Transaction Publishers.

    Google Scholar 

  7. Lawrence, E., & Bradbury, T. N. (2001). Physical aggression as a predictor of marital dysfunction: A longitudinal analysis. Journal of Family Psychology, 15, 135–154.

    Article  CAS  PubMed  Google Scholar 

  8. Heyman, R. E., & Neidig, A. (1999). Comparison of spousal aggression prevalence rates in U.S. army and civilian representative samples. Journal of Consulting and Clinical Psychology, 2, 239–242.

    Article  Google Scholar 

  9. Snarr, J. D., Heyman, R. E., & Slep, A. M. S. (2006). The 2006 Air Force behavioral health problem review: Assessing the prevalence of force health challenges.

  10. Schumacher, J. A., Feldbau-Kohn, S., Slep, A. M. S., & Heyman, R. E. (2001). Risk factors for male-to-female partner physical abuse. Aggression and Violent Behavior, 6, 281–352.

    Article  Google Scholar 

  11. Stith, S. M., Smith, D. B., & Penn, C. E. (2004). Intimate partner physical abuse perpetration and victimization risk factors: A meta-analytic review. Aggression and Violent Behavior, 10, 65–98.

    Article  Google Scholar 

  12. Dutton, D. G. (1985). An ecologically nested theory of male violence toward intimates. International Journal of Women’s Studies, 8, 404–413.

    Google Scholar 

  13. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by design and nature. Cambridge, MA: Harvard University Press.

    Google Scholar 

  14. Capaldi, D. M., Shortt, J. W., & Kim, H. K. (2005). A life span developmental system perspective on aggression toward a partner. In W. M. Pinsoff & J. L. Lebow (Eds.), Family psychology: The art of the science (pp. 141–167). New York: Oxford University Press.

    Google Scholar 

  15. Leonard, K. E., & Senchak, M. (1996). Prospective prediction of husband marital aggression within newlywed couples. Journal of Abnormal Psychology, 105, 369–380.

    Article  CAS  PubMed  Google Scholar 

  16. O’Leary, K. D., Malone, J. E., & Tyree, A. (1994). Physical aggression in early marriage: Pre-relationship and relationship effects. Journal of Consulting and Clinical Psychology, 62, 594–602.

    Article  PubMed  Google Scholar 

  17. O’Leary, K. D., Slep, A. M. S., & O’Leary, S. G. (2007). Multivariate models of men’s and women’s partner aggression. Journal of Consulting and Clinical Psychology, 75, 752–764.

    Article  PubMed  Google Scholar 

  18. Riggs, D. S., & O’Leary, K. D. (1996). Aggression between heterosexual dating partners: An examination of a causal model of courtship aggression. Journal of Interpersonal Violence, 11, 519–540.

    Article  Google Scholar 

  19. White, J. W., Merrill, L. L., & Koss, M. P. (2001). Prediction of premilitary courtship violence in a navy recruit sample. Journal of Interpersonal Violence, 16, 910–927.

    Article  Google Scholar 

  20. Stith, S. M., Green, N. M., Smith, D. B., & Ward, D. B. (2008). Marital satisfaction and marital discord as risk markers for intimate partner violence: A meta-analytic review. Journal of Family Violence, 23, 149–160.

    Article  Google Scholar 

  21. Bigelow, J. H. (2006). Using linear programming to design samples for a complex survey. Unpublished manuscript, DRR-3992-AF, RAND Project AIR FORCE, Arlington, VA.

  22. Mirowsky, J., & Ross, C. E. (1992). Age and depression. Journal of Health and Social Behavior, 33, 187–205.

    Article  CAS  PubMed  Google Scholar 

  23. Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.

    Article  Google Scholar 

  24. Krause, N., & Baker, E. (1992). Financial strain, economic values, and somatic symptoms in later life. Psychology and Aging, 7, 4–14.

    Article  CAS  PubMed  Google Scholar 

  25. Vinokur, A. D., Price, R. H., & Caplan, R. D. (1996). Hard times and hurtful partners: How financial strain affects depression and relationship satisfaction of unemployed persons and their spouses. Journal of Personality and Social Psychology, 71, 166–179.

    Article  CAS  PubMed  Google Scholar 

  26. Conger, R. D., Conger, K. J., Elder, G. H., Lorenz, F. O., Simons, R. L., & Whitbeck, L. B. (1993). Family economic stress and adjustment of early adolescent girls. Developmental Psychology, 29, 206–219.

    Article  Google Scholar 

  27. Scholz, U., Gutierrez, D. B., Sud, S., & Schwarzer, R. (2003). Is general self-efficacy a universal construct? European Journal of Psychological Assessment, 18, 242–251.

    Article  Google Scholar 

  28. Ware, J. E., Jr., Kosinski, M., Dewey, J. E., & Gandek, B. (2001). How to score and interpret single-item health status measures: A manual for users of the SF-8™ health survey. Lincoln, RI: QualityMetric Incorporated.

    Google Scholar 

  29. Rumpf, H., Hampke, U., Meyer, C., & John, U. (2002). Screening for alcohol use disorders and at-risk drinking in the general population: Psychometric performance of three questionnaires. Alcohol and Alcoholism, 37, 261–268.

    Article  PubMed  Google Scholar 

  30. Norton, R. (1983). Measuring marital quality: A critical look at the dependent variable. Journal of Marriage and the Family, 45, 141–151.

    Article  Google Scholar 

  31. Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The revised Conflict Tactics Scales (CTS2): Development and preliminary psychometric data. Journal of Family Issues, 17, 283–316.

    Article  Google Scholar 

  32. Simons, R. L., Beaman, J., Conger, R. D., & Chao, W. (1993). Childhood experience, conceptions of parenting, and attitudes of spouse as determinants of parental behavior.

  33. Straus, M. A., Hamby, S. L., Finkelhor, D., Moore, D. W., & Runyan, D. (1998). Identification of child maltreatment with the parent–child conflict tactics scales: Development and psychometric data for a national sample of American parents. Child Abuse and Neglect, 22, 249–270.

    Article  CAS  PubMed  Google Scholar 

  34. U. S. Army Community Support Center. (1989). 1989 Army Soldier and Family Survey: Soldier Survey (SCN: ATNC-AO-89-10A). Cary, NC: Research Triangle Institute, Caliber Associates, and Human Resources Research Organization.

    Google Scholar 

  35. Princeton Survey Research Associates. (1999). The community indicators surveynational: Topline results. Retrieved April 10, 2008 from http://www.knightfoundation.org/research_publications/community_indicators/nat/topline.pdf.

  36. The Social Capital Benchmark Survey. (2000). Retrieved April 8, 2008, from http://www.cfsv.org/communitysurvey/docs/survey_instrument.pdf.

  37. Research Triangle Institute. (1990). AFRP analysis plan (Volume II: Appendices). Research Triangle Park, NC: Author.

    Google Scholar 

  38. Allison, P. D. (2001). Missing data (Sage University papers series on quantitative applications in the social sciences no. 07-136). Thousand Oaks, CA: Sage Publications.

  39. Raghunathan, T. E., Solenberger, P., & Van Hoewyk, J. (2002). IVEware: Imputation and variance estimation software installation instructions and user guide. Ann Arbor: The University of Michigan.

    Google Scholar 

  40. Potter, F. (1988). Survey of procedures to control extreme sampling weights. In Proceedings of the survey research methods section of the American Statistical Association, pp. 453–458.

  41. Graubard, B. I., & Korn, E. L. (1996). Survey inference for subpopulations. American Journal of Epidemiology, 144(1), 102–106.

    CAS  PubMed  Google Scholar 

  42. Muthén, L. K., & Muthén, B. O. (2007). Mplus Version 5.1. Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  43. Fagan, A. A., Hawkins, J. D., & Catalano, R. F. (2008). Using community epidemiologic data to improve social settings: The communities that care prevention system. In M. Shinn & H. Yoshikawa (Eds.), Toward positive youth development: Transforming schools, community programs (pp. 292–312). New York, NY, USA: Oxford University Press.

    Chapter  Google Scholar 

  44. Slep, A. M. S., & Heyman, R. E. (2008). Public health approaches to family maltreatment prevention: Resetting family psychology’s sights from the home to the community. Journal of Family Psychology, 22(3), 518–528.

    Article  PubMed  Google Scholar 

  45. Heyman, R. E., & Schlee, K. A. (1997). Toward a better estimate of the prevalence of partner abuse: Adjusting rates based on the sensitivity of the Conflict Tactics Scale. Journal of Family Psychology, 11, 332–338.

    Article  Google Scholar 

  46. Schafer, J., Caetano, R., & Clark, C. L. (2002). Agreement about violence in U.S. couples. Journal of Interpersonal Violence, 17, 457–470.

    Article  Google Scholar 

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Acknowledgments

This research was supported by U.S. Department of Defense grant W81XWH0710328. The opinions expressed in this article are solely those of the authors and do not necessarily represent the official views of the U.S. Government, the Department of Defense, or the Department of the Air Force. We wish to acknowledge Maj. David Linkh his assistance and support, which made this project viable. We would also like the thank the personnel at the local Air Force site who were responsible for promoting the survey, to Caliber Associates (especially Dr. Chris Spera) for administering the web survey and to the active duty members and their spouses who took time to complete it.

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Correspondence to Amy M. Smith Slep.

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Slep, A.M.S., Foran, H.M., Heyman, R.E. et al. Unique Risk and Protective Factors for Partner Aggression in a Large Scale Air Force Survey. J Community Health 35, 375–383 (2010). https://doi.org/10.1007/s10900-010-9264-3

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