Intimate partner violence prevalence estimation using telephone surveys: understanding the effect of nonresponse bias

To assess the effect of nonresponse bias in telephone prevalence studies of intimate partner violence, the authors asked women visiting a health center in Albany, New York, during 1998 about their willingness to participate in telephone surveys. Women physically victimized by a male partner were more likely than other women to say they would participate in telephone surveys (66.7% vs. 44.4%, p = 0.03). Among women severely victimized, those living with their partner were less willing to participate than those not cohabiting (45.5% vs. 91.7%, p = 0.03). Including questions about willingness to participate in telephone surveys in studies of other kinds may be a useful method of identifying nonresponse bias.     

The future of random-digit-dial surveys for injury prevention and violence research

A central issue facing injury prevention research today is how to collect self-reported data on injury and violence from a geographically dispersed public, quickly, cost effectively, and with a reasonable degree of confidence in the quality of the results. Questions about eroding frame coverage, declining participation rates, and increasing potential for bias have raised doubts about the long-term viability of random-digit-dial (RDD) telephone surveys for injury prevention research. So where does the future lie? The four articles in this volume, as well as other research, point down two paths: (1) continued reliance on RDD, or (2) adoption of alternative survey designs. Continued use of RDD methodology will require additional research in the areas of response rate improvement, techniques for enhancing post-survey adjustments, and cost-effective approaches to nonresponse bias analysis. Moving away from a strict reliance on RDD methodology, injury prevention research could adopt mixed-mode approaches (such as combining telephone, mail, and web-based surveys) or make use of address-based sampling frames as a method for reaching sample members currently missed by most RDD approaches. Either way, the future of collecting self-reports of injury and injury prevention data will be more complex and require considerable resources.     

Can We Talk?: Importance of Random-Digit-Dial Surveys for Injury Prevention Research

Prevention research in public health requires quality data. In injury prevention research, "official" data sources, such as medical or law enforcement data, often do not possess the required depth or completeness. Self-reported data can fill this gap. Such data allow us to understand knowledge, attitudes, exposures, and behaviors associated with injury risk. Self-reported data are also needed to understand outcomes that are often missing from official sources, such as victimization by an intimate partner that is not reported because of concerns about legal consequences and less severe injuries from suicide attempts that go untreated. Data on risk and protective factors and specific types of violence exposures can often only be obtained by directly asking those affected. In addition, "official" data sources are rarely representative. Random-digit-dialing (RDD) surveys are a method of obtaining representative self-reported data. The RDD approach is relatively cost effective, handles non-English-speaking households with relative ease, and possesses a well-developed theory for constructing sample weights. However, there are significant challenges to using RDD surveys. These include declining participation rates; possible self-selection bias, since potential respondents can choose to opt out of the survey; and, with sensitive topics such as intimate partner violence, the need to anticipate potential risks for participants. This theme issue provides suggestions for how we can improve the design and implementation of RDD surveys in a manner that is both practical and ethical.     

Incentives for Survey Participation: When Are They “Coercive”?

Monetary incentives are increasingly used to help motivate survey participation. This article summarizes several theories underlying the use of incentives and briefly reviews research demonstrating their intended and unintended effects on response rates, sample composition, response bias, and response quality. It also considers the evidence for the effectiveness of incentives in reducing nonresponse bias. Institutional review boards have begun to ask whether, and under what conditions, the use of monetary incentives to induce participation might be coercive and to question the use of such incentives in surveys of "vulnerable" populations, including surveys of injury and violence. The article reviews the ethical principles underlying the requirement for voluntary informed consent as well as current regulations and a broad theoretical and empirical literature bearing on this question, concluding that incentives are never coercive. The question of whether they exert "undue influence" in a specific situation is more difficult, but it may be the wrong question to ask. The article concludes with several recommendations designed to ensure the ethical use of incentives in surveys on violence and injury.     

New outcome rates for random sampling telephone surveys

BackgroundSurvey non-response rates are important quality indicators. Refusal rates can induce non-response bias in health survey estimates. However, comparisons across surveys highlight inconsistencies in the use of survey outcome categories and in the calculation of response rates. In this paper we discuss the relevance of these indicators and suggest other survey quality indicators.MethodsOutcome rates from two French random-digit dialing (RDD) telephone surveys are compared : the Nicolle survey on infectious diseases of 4112 individuals conducted in 2006, and the HIV knowledge, attitude, belief and practices (KABP) survey of 5071 individuals in 2004. Based on the same protocol, we describe in details the way the two RDD samples were drawn and how non-response rates were estimated.ResultsNon-response rates were different: 36% in Nicolle survey and 18% in KABP survey. However, the quantity of telephone numbers required to obtain one interview was higher in the KABP survey: 2.8 telephone numbers versus 2.1 in the Nicolle survey. The participation rates, aggregating together refusals, break-off and non-reachable numbers, were equivalent for the two surveys. This result occurred because of a greater proportion of unreached calls in the KABP surveys, which is not integrated into the non-response rates commonly used.ConclusionSurvey non-response rate is insufficient to estimate the quality of a survey. The need for other indicators has been previously stressed in the literature, notably with the adoption and utilization of the American Association for Public Opinion Research (AAPOR) standard definitions of four indicators. But these indicators are quite complex for evaluating non-response bias between surveys. In addition to the classical refusal rate, two other indicators are proposed in this paper: participation rate (number of complete interviews divided by the number of eligible and of unknown eligibility units) and a liking contact rate (number of unreachable units because of a long absence, break-off or non-answer divided by the number of eligible and of unknown eligibility units). The sum of these three indicators is equal to 100% and thus easier to manipulate when comparing surveys.     

Factors associated with induced abortion over time: secondary data analysis of five waves of the Australian Longitudinal Study on Women’s Health

Objective : A trend analysis of associations with induced abortion. Methods : Secondary analysis of the 1973/78 cohort of the Australian Longitudinal Study of Women’s Health of women responding to two or more consecutive surveys out of five (N=9,042), using generalised estimating equations. Results : New abortions dropped from 7% to 2% at surveys 4 and 5. By survey 5, 16% of respondents reported abortions, only 2% of them new. Women aged in their twenties were more likely to terminate a pregnancy if they reported less‐effective contraceptives (aOR2.18 CI 1.65–2.89); increased risky drinking (aOR1.65 CI 1.14–2.38); illicit drugs ≤12 months (aOR3.09 CI 2.28–4.19); or recent partner violence (aOR2.42 CI 1.61–3.64). By their thirties, women were more likely to terminate if they reported violence (aOR2.16 CI 1.31–3.56) or illicit drugs <12 months (aOR2.69 CI 1.77–4.09). Women aspiring to be fully‐ (OR1.58 CI 1.37–1.83) or self‐employed (OR1.28 CI 1.04–1.57), with no children (OR1.41 CI 1.14–1.75) or further educated (OR 2.08 CI 1.68–2.57) were more likely to terminate than other women. Conclusions : Abortion remains strongly associated with factors affecting women’s control over reproductive health such as partner violence and illicit drug use. Implications for public health : Healthcare providers should inquire about partner violence and illicit drug use among women seeking abortion, support women experiencing harm and promote effective contraception.     

Sensitive topics, survey nonresponse, and considerations for interviewer training

This paper discusses current challenges in achieving higher survey participation rates in random-digit-dial telephone surveys and proposes steps to address them through interviewer training to avoid refusals. It describes features of surveys that contribute to respondent reluctance to participate and offers a brief overview of current refusal aversion training methods to reduce nonresponse. It then identifies what challenges that unique features of random-digit-dial telephone surveys on sensitive topics might contribute to nonresponse. Recommendations are then proposed for changes in refusal aversion training, standard survey introductions, and informed consent procedures. Finally, further research is called for to identify which methods best balance the need to improve response rates with respondent safety and privacy in surveys with sensitive questions.     

Exploring Nonresponse Bias in a Health Survey Using Neighborhood Characteristics

Objectives. We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate.Methods. We used California Health Interview Survey (CHIS) data and US Census data and linked the two data sets at the census tract level. We compared a broad range of neighborhood characteristics of respondents and nonrespondents to CHIS. We projected individual-level nonresponse bias using the neighborhood characteristics.Results. We found little to no substantial difference in neighborhood characteristics between respondents and nonrespondents. The response propensity of the CHIS sample was similarly distributed across these characteristics. The projected nonresponse bias appeared very small.Conclusions. The response rate in CHIS did not result in significant nonresponse bias and did not substantially affect the level of data representativeness, and it is not valid to focus on response rates alone in determining the quality of survey data.Declining survey response rates over the last decade have raised concerns regarding public health research that uses population-based survey data. Response rates are commonly considered the most important indicator of the representativeness of a survey sample and overall data quality, and low response rates are viewed as evidence that a sample suffers from nonresponse bias.^1,2 Recent survey research literature, however, suggests that response rates are a poor measure of not only nonresponse bias but also data quality.^3–7The decline in survey response rates over the past several decades has led to a number of rigorous studies and innovative methods to explore the relationship between survey response rates and bias. A meta-analysis that examined response rates and nonresponse bias in 59 surveys found no clear association between nonresponse rates and nonresponse bias.⁸ Some surveys with response rates under 20% had a level of nonresponse bias similar to that of surveys with response rates over 70%. This is because nonresponse bias is either a function of both the response rate and the difference between respondents and nonrespondents in a variable of interest,⁹ or it is a function of covariance between response propensity and a variable of interest.¹⁰ Therefore, response rates alone are not the determinant of nonresponse bias of the survey estimates. Although it may be convenient to use the response rate as a single indicator of a survey''s representativeness and data quality, nonresponse bias is a property of a particular variable, not of a survey.Nonetheless, declining survey response rates increase the potential for nonresponse bias and have raised questions about the representativeness of inferences made from probability sample surveys. Inferences from surveys are based on randomization theory and assume a 100% response from the sample. Although the gap between theory-based assumptions and the reality of survey administration has always been a concern, the increasing deviation from the full response assumption increases this concern.Nonresponse is multidimensional, not a unitary outcome, and is roughly divided into 3 components: noncontact, refusal, and other nonresponse.⁹ Most examples of nonresponse compose the first 2 components. A study by Curtin et al. found that refusal rates in a telephone survey remained constant between 1979 and 2003, although the contact rates decreased dramatically.¹¹ Another study by Tuckel and O''Neill found the same pattern.¹²Arguably, different dynamics lead to noncontact and refusal.^13,14 Noncontact (e.g., unanswered phone calls in random-digit-dialed surveys) is related to accessibility. Call screening devices, phone usage, and at-home patterns affect accessibility, and calling strategy (e.g., number of call attempts and timing of calls) directly influences contact rates.^7,12 Refusal occurs only after contact is made. The decision to participate or not is an indicator of the respondent''s amenability to the survey and is also influenced by other factors.Noncontact and refusal may affect different types of potential biases, and these biases may offset one another.^7,15 For example, measures on volunteerism may be biased through noncontact because those who spend much time volunteering may be hard to reach in random-digit-dialed surveys. On the other hand, those who refuse to participate in the same survey may have opinions and behaviors related to volunteerism that differ dramatically from those of persons who are never contacted. Because aggregating noncontact and refusal may obscure our understanding of nonresponse bias, understanding detailed response behaviors along with overall nonresponse bias is important.The decline in response rates is more rapid for random-digit-dialed telephone surveys than for other survey types. The difficulties inherent in examining nonresponse bias arise from the absence of data on nonrespondents. Unlike face-to-face surveys, in which interviewers make direct observation of the sampled individual and have an opportunity to gather contextual information regardless of response status, such information is scarce in telephone surveys because interviewers do not visit the individual and the interviewer–respondent interaction, if any, remains oral and over the telephone. Follow-up with nonrespondents in a telephone survey can be conducted to study its nonresponse bias, but such efforts are resource intensive. Additionally, unless 100% participation is achieved, there still remains some level of nonresponse.Alternatively, nonresponse can be studied through the use of the geographic identifiers associated with sampled telephone numbers. Phone numbers from random-digit-dialed sampling frames can be readily associated with a limited number of geographic identifiers, such as zip codes. In addition, most phone numbers can be matched to a postal address and consequently to a census tract and county, which provides a unique opportunity to evaluate patterns of nonresponse as a function of neighborhood characteristics. A few recent nonresponse bias studies have used such contextual data.^16–19We examined potential nonresponse bias in the 2005 CHIS, a large random-digit-dialed telephone survey, by comparing a wide range of census tract–level neighborhood characteristics by response behavior as well as examining response rates across neighborhood characteristics. Although these characteristics are not specific to individual cases (households), neighborhood characteristics at the census tract level serve as useful proxy indicators of differences in the population. This is because census tracts are relatively permanent small geographic divisions with 1500 to 8000 people that are designed to be homogeneous with respect to sociodemographic characteristics.²⁰ Unlike previous studies that focused on statistical significance, we discuss substantive significance. We explored nonresponse bias in a large, population-based telephone health survey in California. We linked data from the California Health Interview Survey (CHIS) to US Census data at the tract level to compare respondents and nonrespondents across a broad range of neighborhood characteristics.     

Complementing random-digit-dial telephone surveys with other approaches to collecting sensitive data

Surveys of sensitive topics, such as the Injury Control and Risk Surveys (ICARIS) or the Behavioral Risk Factors Surveillance System (BRFSS), are often conducted by telephone using random-digit-dial (RDD) sampling methods. Although this method of data collection is relatively quick and inexpensive, it suffers from growing coverage problems and falling response rates. In this paper, several alternative methods of data collection are reviewed, including audio computer-assisted interviews as part of personal visit surveys, mail surveys, web surveys, and interactive voice response surveys. Their strengths and weaknesses are presented regarding coverage, nonresponse, and measurement issues, and compared with RDD telephone surveys. The feasibility of several mixed mode designs is discussed; none of them stands out as clearly the right choice for surveys on sensitive issues, which implies increased need for methodologic research.     

Random digit dialling and Electronic White Pages samples compared: demographic profiles and health estimates

OBJECTIVE: To compare the methodologies of and health estimates derived from two telephone household survey methods. In particular, to establish if White Pages telephone listings provide a relatively unbiased sampling frame for population health surveys. METHOD: In South Australia in 1998, a health survey questionnaire was administered by telephone to two randomly selected population samples. The first method used EWP (Electronic White Pages, n = 6,012), which contains all listed residential telephone numbers as the sampling frame. The results were compared to a RDD (random digit dialling, n = 3,080) sample where all listed and unlisted telephone numbers were included in the sampling frame. Demographic variables and health estimates were compared between the surveys, and then compared to a 'gold standard' door-to-door household survey conducted concurrently. RESULTS: The response rate for EWP (83.8%) exceeded that of RDD (65.4%). More than four times as many calls were required per completed interview in RDD. Demographic profiles and health estimates were substantially similar. CONCLUSIONS: EWP requires fewer telephone calls and enables approach letters establishing the bona fides of the survey to be sent to each selected address before calling, increasing the response rate. RDD is a more inclusive sampling frame but also includes non-connected and business numbers, and offers no significant advantages in providing health estimates. IMPLICATIONS: There are substantial methodological and cost advantages in using EWP over RDD as the sampling, frame for population health surveys, without introducing significant bias into health estimates.     

Validación de la versión corta del Woman Abuse Screening Tool (WAST) en población general

ObjectiveTo perform a concurrent validation of the short version of the Woman Abuse Screening Tool (WAST), used to detect intimate partner violence, estimating the validity indexes in the general population.MethodThe information source was the third Intimate partner violence survey in the Region of Madrid (Spain) conducted on women aged 18-70 in 2014. As the gold standard we used the definition of intimate partner violence based on a 26- question survey. The short version of WAST includes two questions with three possible answers. The prevalence of intimate partner violence and the validity indexes were calculated and compared according to two scoring criteria with 95% confidence intervals (95%CI).ResultsThe response rate was 60.0%, and 2979 surveys were analysed. The prevalence of intimate partner violence was 7.6% (95%CI: 6.6-8.5). We showed 21.1% (95%CI: 19.6-22.5) positive test results according to WAST criterion 1 and 11.0% (95%CI: 9.9-12.1) according to criterion 2. Criterion 2 presented higher overall efficiency of the test (81.5% [95%CI: 80.1-82.9] criterion 1 vs. 88.8% [95%CI: 87.7-89.9] criterion 2). The best indexes were obtained in women ≥30 years old.ConclusionsThe short version of the WAST showed acceptable validity indexes for use as a screening tool of intimate partner violence in the general population. We recommend using scoring criterion 2 to estimate prevalence of intimate partner violence in surveys on the general population.     

Integrating a multimode design into a national random-digit-dialed telephone survey

The Behavioral Risk Factor Surveillance System (BRFSS) was originally conducted by using a landline telephone survey mode of data collection. To meet challenges of random-digit-dial (RDD) surveys and to ensure data quality and validity, BRFSS is integrating multiple modes of data collection to enhance validity. The survey of adults who use only cellular telephones is now conducted in parallel with ongoing, monthly landline telephone BRFSS data collection, and a mail follow-up survey is being implemented to increase response rates and to assess nonresponse bias. A pilot study in which respondents' physical measurements are taken is being conducted to assess the feasibility of collecting these data for a subsample of adults in 2 states. Physical measures would allow for the adjustment of key self-reported risk factor and health condition estimates and improve the accuracy and usefulness of BRFSS data. This article provides an overview of these new modes of data collection.     

Methodological issues for health-related surveys of multicultural older women

Given concerns about survey nonresponse bias as well as the need to plan resources for participant recruitment, this study tracked each step of the recruitment process (location, response, consent, and completion) of sociodemographically diverse older women for a survey concerning mammography experience. Younger, less educated poor women were likely to be lost due to inability to locate them, while older middle- and upper-economic-group women were more likely to be lost due to refusal to participate. Hispanic and Black women were significantly more likely to respond on successive attempts to recruit them than were White, non-Hispanic women. There was no significant difference in refusal rates by minority women over the successive contacts, as contrasted with White women, who refused at significantly higher rates with each attempt.     

Rates of intimate partner violence in the United States.

OBJECTIVES: Estimates of intimate partner violence in the United States based on representative samples have relied on data from one person per household or limited numbers of indicators from both partners. The purpose of this study was to estimate nationwide rates of intimate partner violence with data from both couple members by using a standardized survey instrument, the Conflict Tactics Scale. METHODS: A multistage probability sampling design was used to conduct separate face-to-face interviews in respondents' homes with both members of 1635 representative couples living in the 48 contiguous states. RESULTS: Both partners' reports were used to estimate the following lower- and upper-bound rates: 5.21% and 13.61% for male-to-female partner violence, 6.22% and 18.21% for female-to-male partner violence, and 7.84% to 21.48% for any partner-to-partner violence. CONCLUSIONS: High rates of intimate partner violence in the United States corroborate previous claims that the amount of intimate partner violence is substantial.     

Peer Reviewed: Integrating a Multimode Design Into a National Random-Digit–Dialed Telephone Survey

The Behavioral Risk Factor Surveillance System (BRFSS) was originally conducted by using a landline telephone survey mode of data collection. To meet challenges of random-digit–dial (RDD) surveys and to ensure data quality and validity, BRFSS is integrating multiple modes of data collection to enhance validity. The survey of adults who use only cellular telephones is now conducted in parallel with ongoing, monthly landline telephone BRFSS data collection, and a mail follow-up survey is being implemented to increase response rates and to assess nonresponse bias. A pilot study in which respondents'' physical measurements are taken is being conducted to assess the feasibility of collecting these data for a subsample of adults in 2 states. Physical measures would allow for the adjustment of key self-reported risk factor and health condition estimates and improve the accuracy and usefulness of BRFSS data. This article provides an overview of these new modes of data collection.     

Nonresponse in Follow-Back Surveys of Ethnic Minority Groups: An Analysis of the Puerto Rican Maternal and Infant Health Study

Objectives: This study documents the levels and sources of nonresponse in the first large-scale maternal–infant health survey administered to representative samples of Puerto Rican mothers on both the U.S. mainland and the island of Puerto Rico. Methods: The data source is the Puerto Rican Maternal and Infant Health Study, which was administered to a vital records-based sample of 2763 mothers of infants. An additional 805 women were nonrespondents. Nonresponse is examined as a function of several characteristics measured from vital records using logistic regression. Results: The response rate for this survey compares favorably to response rates for similar surveys. Although nonresponse is not associated with most characteristics measured from vital records, it is higher among mainland residents and mothers of infants who died. The absence of significant associations is due to opposite relationships between several covariates and the failure to locate and refusal. For example, nonresponse in the birth sample is not associated with migration, despite the difficulty of locating migrants. The lower likelihood of locating migrants is offset by their willingness to participate. Conclusions: Selectivity due to nonresponse is minimal. Nevertheless, researchers who design binational surveys should be aware of setting-specific circumstances that affect the ability to locate sampled individuals and secure their cooperation.     

Survey research methods in evaluation and case-control studies

Survey research methods are widely used in two types of analytic studies: evaluation studies that measure the effects of interventions; and population-based case-control studies that investigate the effects of various risk factors on the presence of disease. This paper provides a broad overview of some design and analysis issues related to such studies, illustrated with examples.The lack of random assignment to treatment and control groups in many evaluation studies makes controlling for confounders critically important. Confounder control can be achieved by matching in the design and by various alternative methods in the analysis. One popular analytic method of controlling for confounders is propensity scoring, which bears a close resemblance to survey weighting.The use of population-based controls has become common in case-control studies. For reasons of cost, population-based controls are often identified by telephone surveys using random digit dialling (RDD) sampling methods. However, RDD surveys are now experiencing serious problems with response rates. A recent alternative approach is to select controls from frames such as driver license lists that contain valuable demographic information for use in matching.Methods of analysis developed in the survey sampling literature are applicable, at least to some degree, in the analyses of evaluation and population-based case-control studies. In particular, the effects of complex sample designs can be taken into account using survey sampling variance estimation methods. Several survey analysis software packages are available for carrying out the computations.     

Spouse/partner violence education as a predictor of screening practices among physicians

INTRODUCTION: Spouse/partner violence is a major public health problem that affects 3 to 6 million women per year. Many studies show that the majority of health care practitioners do not detect or respond to cases of spouse/partner violence in their practice. Research suggests that there are potential barriers to reporting or detecting this problem. A barrier often cited is lack of proper education or training regarding spouse/partner violence. The objective of this study was to determine if physicians who received spouse/partner violence education at various stages of their careers were more likely to screen patients for spouse/partner violence. METHODS: A survey was developed and administered to family physicians and obstetricians/gynecologists in Virginia. The data were analyzed to determine screening practice and spouse/partner violence education among respondents. Four different educational opportunities were analyzed to determine potential determinants of screening. RESULTS: All respondents who had spouse/partner violence education were more likely to screen every patient than those who were lacking this education. Receiving lectures during residency training was found to be a significant predictor of screening every patient for spouse/partner violence among respondents. DISCUSSION: Screening every patient for exposure to spouse/partner violence is the ideal situation. This study indicates that education about spouse/partner violence has a significant impact on screening tendencies if provided during a physician's residency program.     

Nonresponse bias in a mail survey of physicians

With the increased pressure on survey researchers to achieve high response rates, it is critical to explore issues related to nonresponse. In this study, the authors examined the effects of nonresponse bias in a mail survey of physicians (N = 3,400). Because slightly more than one half of the sample did not respond to the survey, there was potential for bias if nonresponders differed significantly from responders with respect to key demographic and practice variables. They analyzed response status and timing of response with respect to five variables: gender, region, specialty, urbanicity, and survey length. The potential consequences of nonresponse bias on the survey estimates were then analyzed. Men were more likely to respond, as were physicians receiving a shorter questionnaire. Repeated follow-up attempts reduced gender response bias because male physicians were more likely to be early responders. Overall, higher response rates were not associated with lower response bias.     

The impact of current and past interpersonal violence on women's mental health

Violence against women, and more particularly male partner violence, is frequent. Although there are many studies on the consequences of violence on women's mental health, a number of aspects are still unclear. The impact of violence is seldom studied in the context of other risk factors of mental distress, psychological abuse is rarely considered, and older women are generally excluded from the sample. This study aims to analyze the relationships between current and past violence and three indicators of current women's health--psychological distress, the use of psychoactive drugs and a subjective evaluation of health--controlling for demographic and social characteristics. We conducted a cross-sectional survey among patients of family practices in an Italian town and 444 women responded to a self-administrated questionnaire: 20% of them had experienced some kind of abuse in the last 12 months and 5.2% reported physical or sexual aggression, mostly (4%) inflicted by a partner or ex-partner. Current violence was strongly associated with psychological distress, the use of psychoactive drugs and a negative evaluation of health. Experiencing solely psychological abuse with no sexual or physical violence was also associated with impaired health. The relationship between current violence and health was independent of age. After controlling for age, education, children, marital and employment status, women victims of partner violence were around 6 times more likely to be depressed and to feel in bad health, and 4 times more likely to use psychoactive pills than other women. Moreover, there was a strong association between past and current violence. Compared to women who reported no violence, women who reported both types were 5.95 times, women who reported only current but no past violence were 4.81 times, and women who reported only past but no current violence were 3.01 times more likely to report psychological distress.