Gender disparities in self-reported fear of an intimate partner

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Presentation transcript:

Gender disparities in self-reported fear of an intimate partner Carolyn Olson MPH, Bonnie Kerker PhD, MPH, Tina McVeigh, PhD, MPH, Catherine Stayton, DrPH, MPH, Gretchen Van Wye, PhD, Lorna Thorpe, PhD New York City Department of Health and Mental Hygiene 2007 Annual Meeting and Exposition APHA November 4, 2007 Introduction – Division of Epi at NYC DOH.

Presentation Objectives Describe prevalence of fear of an intimate partner among women and men in NYC Examine gender-specific profiles of sociodemographic characteristics and health-related behaviors associated with fear Consider implications for health care response to intimate partner violence (IPV) NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

NYC Community Health Survey Citywide annual RDD telephone survey Based on BRFSS, NHIS Multiple languages Demographics, health care access, health behaviors, and health outcomes Pooled data: 2002, 2004 and 2005 Cooperation rates: 64%; 59%; 71% Weighted for unequal selection probabilities and non-response Post-stratification weights to Census 2000 NYC population Started in 2002 in order to provide robust citywide and neighborhood level estimates on variety of health issues Complex sample design: quotas for each neighborhood; random selection within households for respondent Data pooled for increased power Cooperation rate: % of those contacted who completed the survey. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Fear of an intimate partner In the past 12 months, have you been frightened for the safety of yourself, your children or friends because of the anger or threats of an intimate partner? Possibly capturing variety of emotional/ psychological which could be coupled with other types of abuse --- physical and/or sexual abuse Probably at the more severe end of psychological abuse, given “fear” Asked of every respondent NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Independent Variables Demographics: Gender, age, race/ethnicity, marital status, interview language, country of birth SES proxies: Household income, education, employment, health insurance Health-related behaviors: Binge drinking in past month, multiple sex partners (3+) in past year, condom use at last sex Other: Self-reported health status, past-year same-sex partner NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Data Analysis Methodology Final sample: 23,590 (9,687 men; 13,903 women) Ages 18-64; excluded those missing outcome Bivariate associations tested first Age-adjusted; Student’s t-tests Multivariate logistic regression Two models – men and women SAS-callable SUDAAN T-tests used in bivariate analysis to test for significant differences in prevalence between subgroups. All analyses weighted and age-standardized to the 2000 US Census population. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Prevalence of fear of a partner No significant difference between women and men NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Higher prevalence of fear among: Younger adults Black, Hispanic adults Separated adults Divorced and never-married adults Lower educational attainment, lack of health insurance, lower income Binge drinkers and those with multiple past-year sexual partners Women with same-sex partner Bring tables so have numbers as needed. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Multivariate Logistic Regression Two models: Men and Women Outcome: “Fear of a partner” Forward stepwise modeling Independent variables retained at p<0.05 Tested for confounding, interactions Age included to control for confounding in both models We used logistic regression for multivariate analysis. We modeled using a forward stepwise procedure, adding independent variables one at a time in the order of their significance at the bivariate level. Variables with p-values of greater than .05 were dropped from the model. Upon completion of the forward stepping procedure, the model was tested for potential interactions and confounders. As you will see, associations found at the bivariate level held in the regression analysis. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Women: Fear of a partner OR 95% CI Separated 2.1 (1.2, 3.6) Not insured 1.9 (1.1, 3.1) Interview not English 0.4 (0.2, 0.8) Poor health 4.3 (2.2, 8.4) Fair health 1.9 (1.1, 3.2) Binge drinker 2.0 (1.3, 3.4) INTERACTION: Income x Multiple Sex Partners Low income- multiple sex partners 11.1 (5.2, 23.6) NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Among women, reported fear by income and number of sex partners Adjusted for age, martial status, insurance, language, health status and binge drinking. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Men: Fear of a partner OR 95% CI Divorced 2.2 (1.0, 4.8) Separated 4.2 (1.8, 9.5) Multiple sex partners 1.9 (1.0, 3.4) INTERACTION: Income x Binge Drinking Low income- non-binge drinker 2.2 (1.2, 4.1) Low income- binge drinker 7.4 (3.1, 17.4) NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Among men, reported fear by income and binge drinking Adjusted for age, martial status, and number of sex partners. NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Limitations Cross-sectional data Measurement Error Single question about fear Self-report Gender differential in perceptions of what constitutes fear Low prevalence among non-English speaking women – possible need for specialized, culturally appropriate measures NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Impact of poverty on health and violence Fear and risky behaviors more closely linked among poor men and women Possible mechanisms: Lack of support on both fronts: To deal with negative consequences of behavior To cope with violence from partner Further research: Concurrence of violence and risk behaviors among low-income adults NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Implications for health care response to IPV Both women and men report fear of a partner Clinicians may find it easier to introduce topic of IPV with questions about safety/fear of a partner Among women, sexual risk behaviors appears to be a good marker for IPV assessment Among men, identification of alcohol misuse indicates a need for discussion of possible IPV experience NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

Thank you! FOR MORE INFORMATION: Carolyn Olson colson@health.nyc.gov NYC DOHMH nyc.gov/health Have you tried EpiQuery? nyc.gov/health/epiquery NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services

CHS Weighting To account for unequal selection probabilities and nonresponse Primary weight: inverse of selection probability #adults in household / #residential phone lines Loss of phone service in past year Post-stratification: Adjusted to age, race/ethnicity, and gender of each sampling stratum (neighborhood) NYC Department of Health and Mental Hygiene Bureau of Epidemiology Services