Examining the impact of economic abuse on survivors of intimate partner violence: a scoping review
BMC Public Health volume 22, Article number: 1014 (2022)
Economic abuse is a unique form of intimate partner violence (IPV) and includes behaviors that control a survivor’s ability to acquire, use, and maintain resources. These tactics can result in someone becoming economically dependent on their partner and may limit their ability to leave the relationship and establish independence. The aim of this study was to conduct a scoping review focused on the impact of economic abuse on survivors of IPV.
A total of 14 databases were reviewed, which resulted in 35 peer-reviewed manuscripts for inclusion in the study. Manuscripts were included if they were: written in English, published since the year 2000, focused specifically on the impact of economic abuse perpetrated by an intimate partner, economic abuse was measured as an independent variable, and if economic abuse was looked at separately from other forms of IPV. Both convenience and population-based samples were included in the review. Information was extracted using a data charting form. The data were analyzed using a combination of grouping techniques and constant comparison methods to identify key findings.
Studies found significant associations between economic abuse and a range of outcomes, such as mental and physical health, financial impacts, parent-child interactions, and quality of life. The most frequently examined were mental health, followed by financial issues.
Limitations of these studies included a lack of longitudinal research and a focus on heterosexual relationships with male-perpetrated violence toward female survivors. Study findings highlight the wide-ranging potential impacts of economic abuse on survivors and the need for additional research to better understand potential outcomes and implement and evaluate interventions to address them.
Domestic violence, also known as intimate partner violence (IPV), is a serious public health concern that affects countless people each year. The Centers for Disease Control and Prevention (CDC) defines IPV as “physical violence, sexual violence, stalking, or psychological harm by a current or former partner or spouse” . Physical, sexual, and other non-physical forms of abuse such as psychological and emotional abuse behaviors have long been identified as forms of IPV. Only more recently has economic abuse, as its own unique form of abuse, been more deliberately researched. Economic abuse encompasses behaviors that control a survivor’s “ability to acquire, use, and maintain resources thus threatening [their] economic security and potential for self-sufficiency” . Among service seeking samples, approximately 76 to 99% of survivors report experiencing economic abuse [2,3,4,5].
Stylianou et al. provided evidence that there are six unique forms of abuse. These include psychological abuse, physical violence, sexual violence, economic control, employment sabotage, and economic exploitation . Economic exploitation occurs when someone intentionally destroys or depletes a survivor’s financial resources or credit . Economic exploitation encompasses behaviors like stealing from an intimate partner, gambling of joint money, opening credit lines without a survivor’s permission, or refusing to pay bills with the intent to ruin a survivor’s credit [6,7,8,9]. Economic control involves preventing survivors from having knowledge or access to bank accounts, credit cards, and other shared assets. It can also include denying a survivor access to food, clothing, or medications and tracking a survivor’s use of money [6, 9, 10]. Employment sabotage includes behaviors that prevent a survivor from obtaining or maintaining employment , such as forbidding or interfering with a survivor’s employment or education, harassing a survivor at their place of work, and interfering with a survivor obtaining other forms of income including disability and child support [9, 11].
There are some spatial dynamics that make economic abuse unique compared to other forms of abuse . Afrouz highlights ways in which technology has “transcend[ed] communications beyond physical limits,” which has had significant implications for survivors of IPV . While physical abuse requires close proximity to a survivor, technology has enabled abusive partners to implement a range of other control tactics without physical contact. For example, economic abuse can be engaged in from anywhere, with little to no contact with the survivor. This makes it increasingly difficult to end economic abuse, even post separation when the abusive partner no longer has physical access to the survivor [5, 6]. Further, a survivor may not realize that their abusive partner is engaging in these behaviors until significant debt or credit damage has ensued.
Attention to economic abuse is critical, as economic stability is a social determinant of health that significantly influences the physical and mental health and safety of IPV survivors. Economic abuse can have devastating long-term effects on quality of life, financial security, and independence. For example, many perpetrators of IPV use the consumer credit industry to destroy their partners’ financial credit situation . Not only does this cause financial strain, but it also makes it difficult for survivors to leave their relationships when they are ready to do so. Within the United States credit scores are evaluated when individuals are applying for housing, utilities, employment, and insurance [7, 13, 14]. Therefore, credit damage caused by economic abuse tactics such as coerced debt may limit the economic resources and opportunities available to survivors, keeping them entrapped in the abusive relationship and at continued risk for violence.
As the body of literature available on economic abuse has grown, the pervasiveness of economic abuse and its impacts has become increasingly more evident. While a few studies have reviewed the literature on economic abuse broadly, to the authors’ knowledge no studies have conducted a scoping review focused on the impact of economic abuse. Given the uniqueness of economic abuse and its impact on long-term financial capabilities, it is critical that the field intentionally focuses on better understanding the nature and consequences of this type of abuse. The aim of this study is to conduct a scoping review of peer-reviewed literature focused on the impact of economic abuse on survivors of IPV and identify current gaps in research.
The decision was made to conduct a scoping review of the literature, as the aim of the study was to methodologically identify and examine the available literature focused on the impact of economic abuse . Study procedures were guided by Arksey and O’Malley’s methodological framework for conducting scoping reviews, which includes identifying a research question, identifying relevant studies, selecting studies for inclusion, charting the data, and summarizing and reporting findings . The PRISMA-ScR Checklist guided the reporting of study methods and findings . While an a priori review protocol was developed, the protocol was not registered. The research question guiding the study was: What is known from the existing literature about the impacts of economic abuse on survivors of IPV?
A comprehensive search of the literature was conducted of 14 main databases across the fields of Social Work, Sociology, Psychology, Public Health, Women’s and Gender Studies, Criminal Justice, and Economics. Databases searched included: Social Service Abstracts, ProQuest Social Science Collection, Sociological Abstracts, APA PsychInfo, Medline, PubMed, Web of Science, Criminal Justice Abstracts, and Applied Social Sciences Index and Abstracts. The initial search was conducted in April 2021 and updated in March 2022. Search terms used included violence keywords (“intimate partner violence” OR “intimate partner abuse” OR “domestic violence” OR “domestic abuse” OR “dating violence” OR “battered women”) AND economic abuse keywords (“economic abuse” OR “financial abuse” OR “coerced debt” OR “economic control” OR “employment sabotage” OR “economic exploitation” OR “financial exploitation”). The same search strategy was used for all databases.
To identify studies that focused on the impact of economic abuse on survivors of IPV, the following inclusion criteria were used: (a) full-text publications written in the English language, (b) published in the year 2000 or later in a peer-reviewed journal, (c) the focus of the article was specifically on the impact of economic abuse perpetrated by an intimate partner, (d) economic abuse was measured as an independent variable, and (e) economic abuse was looked at separately from IPV (i.e., measures of IPV that included economic abuse items but that did not separate them out as part of analysis were excluded). Studies with both convenience and population-based samples were included in the review. The decision was made to include studies from 2000 or later because the term “economic abuse” was rarely used in the literature before that time . Literature written in English was selected given the costs associated with translation .
Data management was facilitated through Covidence, a cloud-based platform that can be used to organize, screen, and analyze documents for systematic reviews. One member of the research team conducted the initial search. Search results were uploaded into EndNote, a citation management software, and then transferred to Covidence once the search was complete.
The initial search for articles was conducted in April 2021 and resulted in 3472 articles. In March 2022, an updated search was conducted using five primary databases (i.e., Social Service Abstracts, ProQuest Social Science Collection, Medline, PubMed, Criminal Justice Abstracts) to include articles published in 2020 and 2021 that may have been missed during the first search; 187 articles were identified. The authors also reviewed the reference lists of three review articles [6, 17, 18] for additional publications for possible inclusion; six were identified. As such, a total of 3665 were imported for screening. Covidence removed 2325 articles due to duplication. A total of 1340 manuscripts were screened for eligibility for inclusion based on title and abstract. A study met the criteria for inclusion if it was focused on economic abuse as a form of IPV and reported on its impact. A total of 1060 articles were excluded based on this criteria. In the next phase of screening, the full text for 280 articles were assessed; 232 were excluded due to not meeting inclusion criteria. The most common reasons why articles were excluded were that the articles did not mention economic abuse (n = 120) or the study did mention economic abuse but was not focused on the impact of this form of IPV on survivors (n = 77). Four members of the research team assisted with screening; each manuscript was screened by two individuals. In instances where the screeners were in disagreement about whether a manuscript met inclusion criteria, a third member of the research team reviewed and resolved the discrepancy.
By the end of the screening process, 48 studies were eligible for inclusion. The focus of this review was on quantitative research; 13 qualitative studies were removed from the sample. A total of 35 studies were identified for inclusion in this review. The PRISMA figure summarizing the review process is illustrated in Fig. 1.
Data extraction and analysis
Data extraction and analysis was guided by Rodgers and colleagues’ methodological guidance on the synthesis of study findings , in addition to Arksey and O’Malley’s scoping review methodology . As a first step, general information about the study was extracted using a data charting form. The form was used to document: (a) sample demographics, (b) research questions, aims, or hypotheses, (c) study methods, (d) how economic abuse was defined and measured, (e) how outcome variables were measured, (f) study findings, (g) study strengths and limitations, and (h) recommendations for future research. Using a tabular format, the research team documented descriptive information about the studies such as sample size, country of origin, and measures used. The textual descriptions were then reviewed closely to extract more detailed information about study methods, findings, limitations, and recommendations. To ensure rigor, a second member of the research team reviewed the data extracted for accuracy. The data were analyzed using a combination of grouping techniques and constant comparison methods to identify key findings . To organize study findings, the studies were grouped by the outcome they focused on, which resulted in six groups. Because this is a scoping review, no critical appraisal tool was utilized. All studies were weighted equally in the presentation of study findings, regardless of rigor .
A total of 35 peer-reviewed manuscripts were included in this review. Table 1 presents the descriptive characteristics of these studies.
Over half of the studies (n = 19) in this scoping review collected data from samples within the United States [2,3,4, 20,21,22, 25, 26, 28, 33, 34, 38,39,40, 42, 44, 47,48,49]. Three articles came from Turkey [23, 24, 27], two came from South Africa [29, 30] and one article came from Germany , Ghana , Hong Kong , India , Jordan , Lebanon , Malaysia , Palestine , Philippines , and Tanzania . A single article used data collected as part of a multi-country study of China, Cambodia, Papua New Guinea, and Sri Lanka .
Across the 35 studies, 26 unique datasets were used. Six studies used data from the Fragile Families and Child Wellbeing Study [28, 33, 34, 39, 40, 47]. Adams and Beeble  and Adams et al.  looked at the same sample that was derived from a larger, longitudinal study evaluating a community-based advocacy intervention. Similarly, Davila et al. , Stylianou , and Cardenas et al.  used data collected as part of larger, longitudinal evaluation of the Moving Ahead financial empowerment program. Two studies by Voth Schrag et al. looked at data collected from a sample of women attending a community college [48, 49].
Approximately three-fourths of studies (n = 25) utilized cross-sectional designs [2, 4, 21,22,23,24, 26, 27, 29,30,31,32, 35,36,37,38, 41,42,43,44,45,46, 48,49,50]. Three studies looked at data with five time points [3, 20, 25], three had four time points [28, 33, 34], three had three time points [39, 40, 47], and one had two time points .
For approximately one-third of studies, participants were recruited from domestic violence organizations (n = 9); in one study participants were recruited from a domestic violence hotline . Participants were also frequently recruited from their households (n = 10) and maternal health clinics or hospitals where participants had recently given birth (n = 8).
The sample size across studies ranged from 93 to 10,264 participants. All but two studies [50, 51] had entirely female samples. The race/ethnicity of the sample was not documented in 16 studies [23, 24, 27, 29,30,31,32, 36, 37, 41, 43, 45,46,47, 50, 51]. Seven of the studies reported having a sample in which 50% or more identified as white [2,3,4, 20, 21, 22]. In 30% of the studies (n = 8) no one group had 50% or more of any one ethnicity in their sample [25, 26, 28, 33, 34, 38]. Two studies in the United States had entirely Latina samples [39, 40]. For almost all of the studies, the sexual orientation of the participant and/or the gender of their abuser was unclear. However, many used masculine pronouns in survey items (e.g., “he tried to prevent you from going to work/and or school” ), suggesting that these studies may have focused on opposite-sex relationships. Only one study clearly indicated that the abusers were all male  and two studies clearly indicated that the sample included individuals in both same and opposite-sex relationships [48, 49].
Defining and measuring economic abuse
Economic abuse was not defined in seven of the studies. Although definitions of economic abuse were generally similar across the 23 studies that included them, there was some variation in the specific language used. Studies described economic abuse as a mechanism of coercive control [2, 3, 20,21,22, 26, 36, 42], an attitude or behavior , or an abusive behavior . These strategies hinder a woman’s ability to acquire, use, and maintain economic resources [2,3,4, 20,21,22,23, 44], threatening her economic security [2, 3, 20,21,22,23, 36, 41, 44, 45], economic self-sufficiency [2,3,4, 17, 20, 21, 23, 26, 36, 38], and increasing financial dependence on their abusive partner [39, 41, 44, 45, 48]. Some studies described economic abuse in terms of the three constructs identified in theoretical and measurement literature : economic control (n = 10), employment sabotage (n = 7), and economic exploitation (n = 4).
The most commonly used measure of economic abuse used across studies was the Scale of Economic Abuse (SEA) or one of its variations [2,3,4, 20]. The Scale of Economic Abuse is a 28-item measure of economic abuse that includes two subscales – economic control and economic exploitation . Postmus et al. reduced the SEA from 28 items to 12 and identified a three-factor solution that included economic control, economic exploitation, and also employment sabotage . This measure, named the SEA-12 was used in six of the studies [25, 26, 42, 44, 48, 49]. In addition, the SEA-12 was adapted for use in China; the Chinese SEA-12 was used in one study .
In 2020, Adams et al. revised the original SEA because the authors felt that the original scale did not adequately measure economic abuse as a form of coercive control and insufficiently addressed the role of the consumer credit system as part of economic abuse. This revised, 14-item scale was named the SEA2 and was used in two studies [21, 38].
Other scales used to measure economic abuse across studies included the Domestic Violence Against Women Screening Form (DVAWS) , used in one study ; a measure of domestic violence developed by Haj-Yahia  for use with Arab survivors [31, 32] or an adaptation ; and an adapted version of the Conflict Tactics Scale for elder abuse  used in one study . The studies that analyzed the Fragile Families and Child Wellbeing Study data measured economic abuse using two items: “He tried to prevent you from going to work and/or school” and “He withheld money, made you ask for money, or took your money” [27, 28, 33, 34, 37, 39]. Two studies used measures from the United Nations Multi-Country Study, which included four economic abuse tactics: preventing women from earning money, taking her money, throwing her out of the home, or spending money on alcohol, tobacco, or himself when it was needed for the household [40, 41]. One study used the World Health Organization Violence Against Women Instrument, which included three economic abuse items translated into Swahili .
Outcomes and covariates
Study outcomes are presented in Table 2 and can be organized into six categories: (a) financial outcomes (e.g., financial resources, material hardship), (b) mental health (e.g., depression, anxiety), (c) physical health (e.g., mortality, pregnancy symptoms), (d) parenting and child-related outcomes (e.g., use of spanking, engagement in parent-child activities), and (f) quality of life, and (g) other (e.g., mothers’ future criminal justice involvement and union formation).
The most commonly used covariates across studies were other forms of IPV. Physical abuse was included in approximately 63% of analyses, followed by psychological/emotional abuse (49%), and sexual abuse (26%). Other covariates tended to be demographic characteristics such as age, relationship status, education level, children (either whether the respondent had children [binary] or the number of children [continuous]), and income. Race/ethnicity was included in almost every study conducted in the United States, but only in one study conducted outside of the United States (Ghana) . Although used much less frequently, employment status was controlled for in 23% of studies. Only one study controlled for gender , as most studies included entirely female samples. Finally, seven studies included no covariates [30, 32, 45,46,47, 50, 51]; this was typically due to the type of analytic strategy used.
All but six studies used regression-based analytic methods to examine the impact of economic abuse on various outcomes. Three studies used longitudinal multilevel modeling to look at the effects of economic abuse over time [3, 20, 25]. Fourteen studies used hierarchical linear regression, ordinary least squares regression, multiple regression, or Taylor Linearization to predict the association between economic abuse and a continuous outcome variable [3, 4, 20, 26, 27, 31, 34, 38,39,40, 42, 44, 45, 48, 49]. Thirteen studies used logistic regression to predict the odds that survivors will experience a particular outcome based on experiencing economic abuse [22,23,24, 28,29,30,31,32,33,34, 36, 37]. Other methods used included chi-square tests [39, 41, 43], t-tests [45, 46], analysis of variance , and correlations [50, 51].
F indings on the impact of economic abuse
Study findings are presented in Table 2, along with information regarding how each outcome of interest was measured.
Most studies looked at financial and mental and physical health impacts of economic abuse, although some studies also examined parenting and child outcomes, and quality of life; a small number of studies included outcomes outside of these areas.
Economic or financial consequences of economic abuse were examined by 10 studies. Most studies found that economic abuse was associated with negative financial impacts. One longitudinal study by Adams et al. found that within-woman change in economic abuse over time was negatively associated with change in financial resources over time . Five studies found that economic abuse was significantly associated with increased material [38, 47] or economic hardship [2, 48, 49]. Voth Schrag found that depression partially mediated the association between economic abuse and material hardship . Further, social support moderated the relationship between economic abuse and material hardship, such that at lower levels of economic abuse, higher levels of social support were associated with fewer material hardships .
Some studies looked at specific economic abuse tactics. Adams et al. found that economic abuse (measured as a scale) was not significantly associated with outstanding debt but the economic exploitation subscale was . Similarly, the authors also found that the economic abuse scale was not significantly associated with material dependence, but the economic restriction subscale was. Adams et al. found that coerced debt was significantly associated with greater odds of credit damage and financial dependency (meaning survivors stayed in a relationship longer because of concerns about financially supporting themselves or their children) . Experiencing any form of economic abuse  and economic control in particular  were both significantly associated with lower economic self-sufficiency.
While there were some discrepancies, most studies found economic abuse to be associated with various facets of mental health. Depression was the most frequently examined mental health outcome. Two longitudinal studies examining the effects of economic abuse on maternal depression over time found that experiencing economic abuse was associated with greater odds of experiencing depression [40, 47]. Seven of the cross-sectional studies found that economic abuse [27, 31, 36, 41, 44, 48, 50] and its associated tactics (i.e., employment sabotage)  was significantly and positively associated with depression. One study found no significant difference in depression among one-month postpartum women based on economic abuse exposure . Three studies found economic abuse to be significantly and positively related to anxiety [27, 31, 36]; another two found economic abuse to be significantly positively related to PTSD [36, 42] and suicidal ideation [42, 48]. However, a study looking at an all-Latina sample of IPV survivors found that while economic abuse and depression were significantly positively correlated, economic abuse did not uniquely predict depression, anxiety, or PTSD after controlling for other forms of IPV . Voth Schrag et al. found that material hardship partially mediated the relationship between economic abuse and depression, as well as economic abuse and PTSD .
Other components of mental health that studies looked at included self-esteem, psychosocial health, and psychological problems. Experiencing economic abuse was found to be significantly and negatively associated with self-esteem , psychosocial health , and positively associated with symptoms of psychological distress . One study by Stockl and Penhale looked at the association between economic abuse and psychological problems by women’s age group . Women between the ages of 66–86 had significantly greater odds of experiencing mild or strong psychological symptoms, whereas women between the ages of 16–49 had greater odds of experiencing strong psychological problems . Hamdan-Mansour et al. looked at the association between economic abuse and six dimensions of psychological wellbeing. Two dimensions (self-acceptance and environmental mastery) were negatively correlated with economic abuse; the remaining four dimensions (autonomy, positive relation with other, personal growth, purpose in life) were not statistically significant .
Lastly, Antai et al. looked at the relationship between four economic abuse items, psychological distress, and suicide attempts . An affirmative response to the item “controlled money or forced her to work” or “ever lost job/source of income because of husband” was associated with greater odds of a prior suicide attempt. An affirmative response to the items “destroyed personal property/pet or threaten to harm pet” or “ever lost job/source of income because of husband” was associated with greater odds of psychological distress. Curiously, an affirmative response to the item “disallowed respondent to engage in legitimate work” was associated with lower odds of psychological distress. Antai et al. suggested this finding could be a function of cultural norms around what is perceived as economic abuse or a function of how legitimate work is viewed (e.g., a source of psychological distress); additional research is needed to better understand this finding.
Six studies looked at the association between economic abuse and physical health outcomes. One study by Stockl and Penhale looked at the association between economic abuse and several physical health outcomes by women’s age group . Women between the ages of 16–49 experiencing economic abuse had greater odds of experiencing pelvic problems and difficulty keeping weight. Women between the ages of 50–65 had greater odds of experiencing psychosomatic symptoms, gastrointestinal symptoms, allergies, and difficulty keeping weight . Yau et al. also found that women experiencing economic abuse had greater odds of psychosomatic symptoms . Usta et al. surveyed women in health clinics about whether they were experiencing 19 common complaints in general practice and found that economic abuse was positively correlated with frequency of heart palpitations and physical complaints, although it is unclear which specific symptoms physical complaints is referring to . Tenkorang and Owusu looked at physical health outcomes based on experiences with specific economic abuse tactics, specifically economic exploitation, employment sabotage, and economic deprivation . Economic exploitation and economic deprivation were both significantly associated with cardiovascular disease and economic deprivation was associated with poorer perceptions of overall health; employment sabotage was associated with poorer mental health but not physical health . Gurkan et al. explored the association between economic abuse and a range of pregnancy-related symptoms: gastrointestinal, reproductive, cardiovascular, mental health, neurological, dermatological, respiratory, urinary, and tiredness or fatigue . Both fatigue and mental health symptom scores were significantly higher for women experiencing economic abuse . Lastly, Yunus et al. looked at the associations between IPV and mortality among a sample of older adults and found that proportions of death were highest for survivors of economic abuse, although the number of mortalities in the sample was low overall .
Parenting and child outcomes
Some studies looked at associations between experiencing economic abuse and parenting behaviors and child-related outcomes. Three of these studies were longitudinal in nature and were, therefore, able to examine the impacts of economic abuse over time. However, a limitation of these analyses is that they all used the same dataset (i.e., Fragile Families). As part of the Fragile Families studies, mothers were surveyed in hospitals post-child birth (baseline) and then again when their children were ages 1, 3, 5, and 9, referred to as Y1, Y3, Y5, and Y9, respectively. Researchers found that mothers’ who experienced economic abuse in Y1 and Y3 had lower levels of parental involvement with their children and a greater likelihood of neglecting their child at Y5 . Further, this economic abuse and neglect were associated with greater child delinquency in Y9; this relationship was partially mediated by parenting behaviors (i.e., physical punishment, parental involvement, child neglect). Postmus et al. found that mother’s economic abuse at Y1 and Y3 had greater odds of using spanking to discipline child at Y5, but economic abuse was not significantly associated with engagement in parent-child activities in Y5 . Nicholson et al. found that economic abuse at Y1 and Y3 were also associated with higher levels of peer bullying for children in Y9; this relationship was mediated by parental involvement and this was moderated by race/ethnicity . The results showed that increased parental involvement was associated with increased peer bullying for boys . One cross-sectional study looked at associations between mother’s experiencing economic abuse and their perpetration of child abuse, but found that economic abuse was not significantly associated with emotional or physical child abuse perpetration .
Quality of life
While a cross-sectional study conducted by Gul et al. did not find economic abuse to be significantly associated with survivors’ contentment with life score , a longitudinal study by Adams and Beeble found economic abuse was significantly, negatively associated with change in the quality of life over time . A second longitudinal study also looked at the association between economic abuse; economic control was initially significantly and negatively associated with quality of life, however, the relationship was no longer significant after controlling for other indicators of financial empowerment (e.g., financial knowledge, economic self-sufficiency) .
Four studies examined outcomes that did not fit well in the other thematic areas previously discussed. One longitudinal study using Fragile Families data looked at the association between experiencing economic abuse in Y1, Y3, and Y5 and mother’s criminal justice involvement, defined as whether mother was charged with a crime or booked by police for anything other than a minor traffic violation in the last 4 years, at Y9; odds of experiencing criminal justice involvement were higher for mother’s experiencing economic abuse when controlling for all other forms of IPV . Another longitudinal study using Fragile Families data looked at the effect that economic abuse at Y1 had on union formation at Y5; mothers experiencing economic abuse had lower odds of being married or cohabiting with baby’s father at Y5 . Jewkes et al. found that economic abuse was not significantly associated with women’s discussion of HIV with their partner, however, women who suggested condom use in the past year were more likely to be financially abused . Finally, Postmus et al. found that economic abuse was indirectly associated with food insecurity, as the relationship was fully mediated by depression .
The purpose of this study was to conduct a scoping review to examine the literature on IPV to better understand the effects of economic abuse on survivors. A total of 35 manuscripts met the inclusion criteria for the study. These studies examined associations between economic abuse and financial outcomes, mental and physical health impacts, parenting and child outcomes, quality of life, survivors’ criminal justice involvement, and the navigation of HIV and condom use in intimate relationships. As such, the studies had both substantive and methodological differences.
Overall, studies found significant associations between economic abuse and a range of outcomes. With regard to the methods reported within the included studies, only three studies specifically measured the effects of economic abuse on survivor outcomes longitudinally. These three studies analyzed their data using multilevel modeling to look at the effects of economic abuse over time [3, 20, 25]. Although six studies used the Fragile Families and Child Wellbeing Study dataset [28, 33, 34, 39, 40, 47], these studies used regression analyses to look at associations between experiences of economic abuse and outcomes of interest. Future research should include the use of more rigorous research methods, such as longitudinal designs, to examine the short and long-term impacts of economic abuse on survivors, as well as the directionality between relationships.
Many of the studies looked at mental health outcomes associated with economic abuse. Researchers found that economic abuse is associated with increased depression, anxiety, suicidal ideation, and PTSD. These are consistent with the mental health outcomes associated with other forms of IPV (e.g., Bonomi et al.) [78,79,80]. There is a need for additional research that explores a wider range of outcomes, including physical health consequences, as fewer studies examined the physical health consequences of economic abuse. Those that did generally operationalized their physical health outcomes of interest differently; therefore, it is not yet possible to draw any overarching conclusions about the impact of economic abuse on physical health, and other less-studied outcome areas. However, preliminary findings suggest that economic abuse is associated with some physical health impacts, which is also consistent with research on other forms of IPV [30, 43, 45, 46, 50, 51]. There is a need for research studies to operationalize outcomes with more consistency, so that findings can be compared across studies. Moreover, only a small number of studies looked at the indirect effects of economic abuse on survivors. Additional research is needed on factors that mediate the effects of economic abuse on various outcomes.
While all forms of IPV can impact a survivors’ economic well-being either directly or indirectly, the impact of economic abuse is particularly damaging to survivors’ economic stability. Across studies, the financial and economic impacts of economic abuse were operationalized in a range of ways. Studies included measures of economic hardship, perceptions of financial resources, debt and credit damage, and financial dependence on an intimate partner. Regardless of how these impacts were measured, all studies found statistically significant associations between economic abuse and these various facets of economic hardship. Thus far, only a handful of studies have examined the economic impacts of IPV by measuring economic abuse separately to determine whether these impacts differ from those caused by other forms of IPV (e.g., physical abuse, psychological abuse). For example, Adams et al. found that economic restriction was positively associated with material dependence on an abusive partner and outstanding debt, whereas physical abuse and psychological abuse were not . However, studies often looked at the association between economic abuse and economic hardship related outcomes without controlling for other forms of IPV. While these studies make important contributions to the literature given the limited information available on economic abuse, particularly when compared to other forms of IPV, it is difficult to ascertain whether the impacts of economic abuse contribute to economic hardship above and beyond the impacts of other forms of IPV. Continued research is needed to better understand what economic abuse tactics are most harmful to survivors and interactions between other forms of IPV.
Future research should also examine economic abuse experiences and associated impacts across a broader sample. Almost all of the studies included in this scoping review examined the experiences of female survivors with male intimate partners. There is a need to understand how economic abuse manifests among other survivor samples, such as male survivors with female abusive partners and within the LGBTQIA+ community. Other scholars have stressed the need to include male victims in studies as well, including Hines et al. who found that 38% of male survivors in their study reported experiencing economic abuse . While some studies looked at economic abuse among survivors later in life [43, 51], the majority focused on individuals of reproductive age. The impacts of economic abuse may vary based on survivors’ stage of life, which has been found for physical/sexual IPV and psychological abuse . Similarly, economic abuse and its effects may differ based on an individuals’ socioeconomic status. Although some studies included financial circumstances (e.g., employment status) in their analyses as control variables, additional research is needed to better understand whether economic abuse and its effects differ by household income.
Some scholars have highlighted the ways in which cultural norms, including gendered attitudes around money, family dynamics, and formal and informal economic policies (e.g., unequal rights to inheritance), influence survivors’ experiences with economic abuse . For example, in some cultures women may be restricted from engaging in work activities due to familial obligations, such as caring for children or elderly family members . Women may also be expected to keep their financial assets in joint accounts controlled by their intimate partner, which further decreases their financial dependence . Wedding-related traditions, such as marriage gifts, bride price, or dowry can also be used as forms of economic control or exploitation . However, few studies considered how cultural variations may influence survivors’ experiences with and the impacts of economic abuse, as well as their help seeking behaviors. Future research should continue to explore the ways in which cultural values impact survivors’ perceptions of economic abuse and subsequently its impacts.
All of the studies included in this review used self-reported measures of economic abuse. A range of validated and non-validated economic abuse instruments were used across studies. While there was overlap across instruments, there were also substantive differences that decrease their comparability. For example, four different variations of the original Scale of Economic Abuse (SEA) were used: the original SEA ; the Scale of Economic Abuse-12 (SEA-12), which is an abbreviated version of the original scale ; the Chinese translation of the SEA-12 ; and the SEA2, which is a revised version of the SEA . Half (17) of the articles did not use any validated measure of economic abuse. As Postmus et al. point out, it is necessary for researchers to continue to validate measures of economic abuse among diverse populations to determine whether all aspects of economic abuse are accurately represented and that the measures being used are relevant across different cultural contexts . It will not be possible to collect accurate data on the prevalence and impact of economic abuse until reliable and valid measures are consistently used to assess the issue. Scholarship in this area can also elucidate whether certain forms of economic abuse are particularly harmful to survivors, both in terms of its mental and physical health impacts, as well as its financial impacts.
While most outcomes, with the exception of mental health, were measured inconsistently across studies, this is particularly true of the financial outcomes examined. Among those included across studies, economic/material hardship (two studies used an 11-item index of material hardship; three used a 13-item index of economic hardship) and economic self-sufficiency (two used the Economic Self-Sufficiency Scale) were assessed most similarly. The remaining financial outcomes (e.g., credit damage, material dependency, outstanding debt) were all measured differently, often using individual items that were not previously validated. This is not surprising, given that economic abuse research is still in its infancy  and fewer economic measures have been tested with IPV survivors, however, it does speak to the need for continued measurement research in this area.
Further, few studies looked holistically at the impact of economic abuse on various facets of financial wellbeing. The Consumer Financial Planning Bureau defines financial wellbeing as a state in which an individual has control over day-to-day finances, has the capacity to absorb financial shock, is on track to meet financial goals, and has the financial freedom to make choices that promote enjoyment in life . However, no studies looked at the impact of economic abuse on all facets of financial wellbeing collectively. Although not discussed within the context of financial wellbeing, the Economic Self-Sufficiency Scale  is perhaps the measure most closely aligned with financial wellbeing that was used. The individual items in this scale represent various facets of financial wellbeing (e.g., financial freedom), although it does not adequately capture whether a survivor is on track to meet their financial goals. Kutin included measures of financial resilience (defined as the ability to absorb financial shocks) and financial stress (defined as household cash flow problems) in one study exploring risk factors for economic abuse and found limited financial resilience and moderate to high levels of financial stress were associated with greater odds of experiencing this form of IPV . However, additional research is needed to better understand these bidirectional relationships, including longitudinal studies, using more comprehensive measures of financial wellbeing.
Although rigorous methods were used to conduct this scoping review, this study has limitations. This review focused only on quantitative studies exploring the impact of economic abuse on survivors. Future research should conduct a scoping or systematic review of the qualitative studies available and explore similarities and differences in overall study findings. Given the current state of literature in this area, the majority of studies included in this review were cross-sectional in nature. As such, directionality cannot be determined. Some studies used analytic strategies that would not allow for the inclusion of confounding factors. More rigorous, longitudinal research is needed to better understand the relationship between economic abuse and its impact over time. As noted, there were also variations in how economic abuse and outcomes of interest were measured. These variations in the operationalization of measures across studies hinders scholars’ ability to pool available data for meta-analyses .
Studies were limited to English-language manuscripts. While gender of the abusive partners was sometimes unclear, they appeared to be primarily male with female survivors. Further, approximately one-third of the studies recruited participants from domestic violence organizations. As such, the samples included individuals who were at higher risk for economic abuse. S tu dy findings are not representative of all survivors of IPV nor the broader population.
Implications and future directions
This study suggests several implications and directions for future research and practice. First, although a handful of studies have examined the mediators and moderators between economic abuse and a particular outcome, the evidence is still far to understand the complex nature of economic abuse. Thus, continued research is needed to investigate how certain outcomes are produced after economic abuse, and how to protect survivors of IPV from subsequent adversity. These studies will provide critical rationales for intervention design and service implementation. Second, further studies should be conducted in diverse populations. The majority of studies concentrate on heterosexual relationships and male-to-female abuse. However, economic abuse can occur in any intimate relationship regardless of with same or opposite-sex partners. Future research should take into consideration the prevalence and consequences of economic abuse in LGBTQIA+ survivors. In addition, existing studies are primarily interested in its impacts on the survivors. However, economic abuse can impact individuals beyond direct victimization. Child development can be greatly affected when living with an economically abusive dynamic between caregivers. Thus, the continued investigation of child outcomes after economic abuse is warranted.
Third, given the body of evidence that suggests economic abuse is likely to co-occur with other forms of IPV, research should explore whether economic abuse is more harmful with the co-occurrence of other forms of IPV. In practice, service providers should be aware of the unique impacts of economic abuse and the potentially compounding effect with other forms of IPV. Domestic violence advocates should utilize comprehensive screening tools that include economic abuse to assess survivors’ IPV experiences. Domestic violence shelters and agencies should also provide quality training to workers to administer the tools appropriately and effectively. Further, given that the available evidence suggests that economic abuse can have myriad impacts on survivors, additional attention must be paid to developing and evaluating interventions that can financially empower survivors.
This scoping review provides a comprehensive overview of the quantitative research focused on examining the impacts of economic abuse on survivors of IPV. Study findings highlight the wide-ranging impacts that economic abuse has on survivors globally, including their financial wellbeing and mental and physical health. However, it also illuminates gaps in the literature that provide opportunities for future research. In particular, there is a need for additional longitudinal research to explore the effects of economic abuse and other forms of IPV on survivors’ financial wellbeing over time. There is also a need for research to be conducted with broader samples of survivors, including LGBTQ+ survivors.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due to ongoing research but are available from the corresponding author on reasonable request.
Centers for Disease Control and Prevention. Intimate partner violence. https://www.cdc.gov/violenceprevention/intimatepartnerviolence/index.html (2020). Accessed 15 Jan 2022.
Adams AE, Sullivan CM, Bybee D, Greeson MR. Development of the scale of economic abuse. Violence Against Women. 2008;14(5):563–88.
Adams AE, Beeble ML, Gregory KA. Evidence of the construct validity of the scale of economic abuse. Violence Vict. 2015;30(3):363–76.
Postmus JL, Plummer SB, McMahon S, Murshid NS, Kim MS. Understanding economic abuse in the lives of survivors. J Interpers Violence. 2012;27(3):411–30.
Stylianou AM, Postmus JL, McMahon S. Measuring abusive behaviors: is economic abuse a unique form of abuse? J Interpers Violence. 2013;28(16):3186–204.
Stylianou AM. Economic abuse within intimate partner violence: a review of the literature. Violence Vict. 2018;33:3–22.
Littwin A. Coerced debt: the role of consumer credit in domestic violence. Calif L Rev. 2012;100:951–1026.
Fawole OI. Economic violence to women and girls: is it receiving the necessary attention? Trauma Violence Abuse. 2008;9(3):167–77.
Postmus JL, Hetling A, Hoge GL. Evaluating a financial education curriculum as an intervention to improve financial behaviors and financial well-being of survivors of domestic violence: results from a longitudinal randomized controlled study. J Consum Aff. 2015;49:250–66.
Sanders CK. Economic abuse in the lives of women abused by an intimate partner: a qualitative study. Violence Against Women. 2015;21:3–29.
Voth Schrag RJ, Edmond T. School sabotage as a form of intimate partner violence: provider perspectives. Affilia. 2017;32(2):171–87.
Afrouz R. The nature, patterns and consequences of technology-facilitated domestic abuse: a scoping review. Trauma Violence Abuse. 2021. https://doi.org/10.1177/15248380211046752.
Kuhn KM. What we overlook: background checks and their implications for discrimination. Ind Organ Psychol. 2013;6(4):419–23.
Littwin A. Escaping battered credit: a proposal for repairing credit reports damaged by domestic violence. U Pa L Rev. 2013;161:363–429.
Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32.
Tricco AC, Lillie E, Zarin W, O'Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.
Postmus JL, Hoge GL, Breckenridge J, Sharp-Jeffs N, Chung D. Economic abuse as an invisible form of domestic violence: a multicountry review. Trauma Violence Abuse. 2020;21(2):261–83.
Yau JHY, Wong JYH, Fong DYT. Economic abuse as a form of intimate partner violence: a literature review of the instruments and mental well-being outcomes. Violence Vict. 2021;36(4):479–92.
Rodgers M, Sowden A, Petticrew M, Arai L, Roberts H, Britten N, et al. Testing methodological guidance on the conduct of narrative synthesis in systematic reviews: effectiveness of interventions to promote smoke alarm ownership and function. Evaluation. 2009;15:49–73.
Adams AE, Beeble ML. Intimate partner violence and psychological well-being: examining the effect of economic abuse on women’s quality of life. Psychol Violence. 2019;9(5):517–25.
Adams AE, Greeson MR, Littwin AK, Javorka M. The revised scale of economic abuse (SEA2): development and initial psychometric testing of an updated measure of economic abuse in intimate relationships. Psychol Violence. 2020;10(3):268–78.
Adams AE, Littwin AK, Javorka M. The frequency, nature, and effects of coerced debt among a national sample of women seeking help for intimate partner violence. Violence Against Women. 2020;26(11):1324–42.
Antai D, Oke A, Braithwaite P, Lopez GB. The effect of economic, physical, and psychological abuse on mental health: a population-based study of women in the Philippines. Int J Family Med. 2014;2014:1–11.
Bulut SD, Alatas E, Gunay G, Bulut S. The relationship between postpartum depression and intimate partner violence. J Clin Anal Med. 2017;8(2):164–7.
Cardenas I, Johnson L, Postmus JL. Improving quality of life among Latina intimate partner violence survivors through economic empowerment. J Interpers Violence. 2021. https://doi.org/10.1177/08862605211013958.
Davila AL, Johnson L, Postmus JL. Examining the relationship between economic abuse and mental health among Latina intimate partner violence survivors in the United States. J Interpers Violence. 2021;36(1–2):287–310.
Gibbs AK, Dunkle K, Jewkes R. Emotional and economic intimate partner violence as key drivers of depression and suicidal ideation: a cross-sectional study among young women in informal settlements in South Africa. PLoS One. 2018;13(4):e0194885.
Gottlieb A, Mahabir M. The effect of multiple types of intimate partner violence on maternal criminal justice involvement. J Interpers Violence. 2021;36(13–14):6797–820.
Gul H, Gul A, Kara K. Intimate partner violence (IPV) types are common among Turkish women from high socioeconomic status and have differing effects on child abuse and contentment with life. North Clin Istanb. 2020;7(4):359–65.
Gürkan ÖC, Eksi Z, Denis D, Circir H. The influence of intimate partner violence on pregnancy symptoms. J Interpers Violence. 2020;35(3–4):523–41.
Haj-Yahia MM. Implications of wife abuse and battering for self-esteem, depression, and anxiety as revealed by the second Palestinian national survey on violence against women. J Fam Issues. 2000;21(4):435–63.
Hamdan-Mansour AM, Arabiat DH, Sato T, Obaid B, Imoto A. Marital abuse and psychological well-being among women in the southern region of Jordan. J Transcult Nurs. 2011;22(3):265–73.
Huang CC, Postmus JL, Vikse JH, Wang LR. Economic abuse, physical violence, and union formation. Child Youth Serv Rev. 2013;35(5):780–6.
Huang CC, Vikse JH, Lu S, Yi S. Children’s exposure to intimate partner violence and early delinquency. J Fam Violence. 2015;30(8):953–65.
Jewkes RK, Levin JB, Penn-Kekana LA. Gender inequalities, intimate partner violence and HIV preventive practices: findings of a south African cross-sectional study. Soc Sci Med. 2003;56:125–34.
Kanougiya S, Daruwalla N, Gram L, Gupta AD, Sivakami M, Osrin D. Economic abuse and its associations with symptoms of common mental disorders among women in a cross-sectional survey in informal settlements in Mumbai. India BMC Public Health. 2021;21:1–14.
Kapiga S, Harvey S, Muhammad AK, Stockl H, Mshana G, Hashim R, et al. Prevalence of intimate partner violence and abuse and associated factors among women enrolled into a cluster randomised trial in northwestern Tanzania. BMC Public Health. 2017;17:1–11.
Johnson L. Exploring factors associated with pregnant women’s experiences of material hardship during COVID-19: a cross-sectional Qualtrics survey in the United States. BMC Pregnancy Childbirth. 2021;21:1–14.
Nicholson JV, Chen Y, Huang CC. Children's exposure to intimate partner violence and peer bullying victimization. Child Youth Serv Rev. 2018;91:439–46.
Postmus JL, Huang CC, Stylianou AM. The impact of physical and economic abuse on maternal mental health and parenting. Child Youth Serv Rev. 2012;34(9):1922–8.
Postmus JL, Nikolova K, Lin HF, Johnson L. Women’s economic abuse experiences: results from the UN multi-country study on men and violence in Asia and the Pacific. J Interpers Violence. 2021. https://doi.org/10.1177/08862605211003168.
Sauber EW, O’Brien KM. Multiple losses: the psychological and economic well-being of survivors of intimate partner violence. J Interpers Violence. 2020;35(15–16):3054–78.
Stöckl H, Penhale B. Intimate partner violence and its association with physical and mental health symptoms among older women in Germany. J Interpers Violence. 2015;30(17):3089–111.
Stylianou AM. Economic abuse experiences and depressive symptoms among victims of intimate partner violence. J Fam Violence. 2018;33(6):381–92.
Tenkorang EY, Owusu AY. Does economic abuse affect the health outcomes of women in Ghana? Health Educ Behav. 2019;46(2):340–8.
Usta J, Farver JAM, Pashayan N. Domestic violence: the Lebanese experience. Public Health. 2007;121(3):208–19.
Voth Schrag RJ. Economic abuse and later material hardship: is depression a mediator? Affilia. 2015;30(3):341–51.
Voth Schrag RJ, Robinson SR, Ravi K. Understanding pathways within intimate partner violence: economic abuse, economic hardship, and mental health. J Aggress Maltreat Trauma. 2019;28(2):222–42.
Voth Schrag RJ, Ravi KE, Robinson SR. The role of social support in the link between economic abuse and economic hardship. J Fam Violence. 2020;35:85–93.
Yau JHY, Fong DYT, Wong JYH. Risk factors for and mental well-being outcomes of economic abuse in Hong Kong Chinese population. Violence Vict. 2020;35(2):246–65.
Yunus RM, Hairi NN, Choo WY, Hairi FM, Sooryanarayana R, Ahmad SN, et al. Mortality among elder abuse victims in rural Malaysia: a two-year population-based descriptive study. J Elder Abuse Negl. 2017;29:59–71.
Postmus JL, Plummer SB, Stylianou AM. Measuring economic abuse in the lives of survivors: revising the scale of economic abuse. Violence Against Women. 2016;22(6):692–703.
Özvarış B, Demirören M, Şener S, Tümay Ş. Effects of domestic violence against women on women’s health. Health services on combating domestic violence against women. Ankara: Prime Ministry General Directorate of the Status of Women Publications; 2008. p. 1–7.
Haj-Yahia MM. The incidence of wife abuse and battering and some sociodemographic correlates as revealed by two national surveys in Palestinian society. J Fam Violence. 2000;15(4):347–74.
Naughton C, Drennan J, Lyons I, Lafferty A, Treacy M, Phelan A, et al. Elder abuse and neglect in Ireland: results from a national prevalence survey. Age Ageing. 2012;41:98–103.
Bybee D, Sullivan CM. Predicting re-victimization of battered women 3 years after exiting a shelter program. Am J Community Psychol. 2005;36:85–96.
Mowbray CT, Jordan LC, Ribisl KM, Kewalramani A, Luke D, Herman S, et al. Analysis of postdischarge change in a dual diagnosis population. Health Soc Work. 1999;24(2):91–101.
Engindeniz A, Kuey L, Kultur S. Validity and reliability of Turkish version of Edinburgh postnatal depression scale. In: Book of annual meeting of psychiatric Association of Turkey. Ankara: Turkish Psychiatric Association Press; 1996.
Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401.
Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7.
National Comborbidity Survey 1992. https://www.hcp.med.harvard.edu/ncs/index.php. Accessed 12 April 2022.
Lavallee LF, Hatch PM, Michalos AC, McKinley T. Development of the contentment with life assessment scale (CLAS): using daily life experiences to verify levels of self-reported life satisfaction. Soc Indic Res. 2007;83(2):201–44.
Foxcroft KF, Callaway LK, Byrne NM, Webster J. Development and validation of a pregnancy symptoms inventory. BMC Pregnancy Childbirth. 2013;13:1–9.
Hudson WW. Index of self-esteem. In: Corcoran JFK, editor. Measures for clinical practice and research: a sourcebook. New York: Oxford University; 1982. p. 188–9.
Costello CC. Comrey depression and anxiety scales. Measures for clinical practice: a sourcebook, vol. 2. 2nd ed; 1967. p. 155–60.
Ryff CD, Keyes CLM. The structure of psychological well-being revisited. J Pers Soc Psychol. 1995;69(4):719–27.
Maumary-Gremaud A. Things that you have done. Fast Track project technical report; 2000.
Straus MA, Hamby SL, Finelhor D, Moore DW, Runyan D. Identification of child maltreatment with the parent-child conflict tactics scales: development and psychometric data for a national sample of American parents. Child Abuse Negl. 1998;22(4):249–70.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
Beusenberg M, Orley JH. A User's guide to the self reporting questionnaire (SRQ). Geneva: World Health Organization; 1994.
Walters EE, Kessler RC, Nelson C, Mroczek DK. Scoring the World Health Organization’s composite international diagnostic interview short form (CIDI-SF). Geneva: World Health Organization; 2002.
Gowdy EA, Pearlmutter S. Economic self-sufficiency: It's not just money. Affilia. 1993;8(4):368–87.
Weathers FW, Litz BT, Herman DS, Huska JA, Keane TM. The PTSD checklist (PCL): reliability, validity, and diagnostic utility. San Antonio: Annual convention of the International Society for Traumatic Stress Studies; 1993.
Weathers FW, Litz BT, Keane TM, Palmieri, PA, Marx BP, Schnurr PP. The PTSD checklist for DSM-5 (PCL-5). National Center for PTSD 2013. www.ptsd.va.gov. Accessed 12 April 2022.
Levine SZ. Evaluating the seven-item Center for Epidemiologic Studies Depression Scale short-form: a longitudinal US community study. Soc Psychiatry Psychiatr Epidemiol. 2013;48(9):1519–26.
Leung CM, Ho S, Kan CS, Hung CH, Chen CN. Evaluation of the Chinese version of the hospital anxiety and depression scale: a cross-cultural perspective. Int J Psychosom. 1993;40(1–4):29–34.
Lee S, Ma YL, Tsang A. Psychometric properties of the Chinese 15-item patient health questionnaire in the general population of Hong Kong. J Psychosom Res. 2011;71(2):69–73.
Bonomi AE, Thompson RS, Anderson M, Reid RJ, Carrell D, Dimer JA, et al. Intimate partner violence and women’s physical, mental, and social functioning. Am J Prev Med. 2006;30(6):458–66.
Bonomi AE, Anderson ML, Rivara FP, Thompson RS. Health outcomes in women with physical and sexual intimate partner violence exposure. J Women's Health. 2007;16(7):987–97.
Bonomi AE, Anderson ML, Reid RJ, Rivara FP, Carrell D, Thompson RS. Medical and psychosocial diagnoses in women with a history of intimate partner violence. Arch Intern Med. 2009;169(18):1692–7.
Hines DA, Brown J, Dunning E. Characteristics of callers to the domestic abuse helpline for men. J Fam Violence. 2007;22(2):63–72.
Sanz-Barbero B, Barón N, Vives-Cases C. Prevalence, associated factors and health impact of intimate partner violence against women in different life stages. PLoS One. 2019;14(10):e0221049.
Singh S. Economic abuse and family violence across cultures: gendering money and assets through coercive control. In: McMahon M, McGorrey P, editors. Criminalising coercive control: Springer; 2020. p. 51–72.
Usta J, Makarem NN, Habib RR. Economic abuse in Lebanon: experiences and perceptions. Violence Against Women. 2013;19(3):356–75.
Chowbey P. Women’s narratives of economic abuse and financial strategies in Britain and South Asia. Psychol Violence. 2017;7(3):459–68.
Kutin J, Russell R, Reid M. Economic abuse between intimate partners in Australia: prevalence, health status, disability and financial stress. Aust N Z J Public Health. 2017;41(3):269–74.
Consumer financial protection bureau. Financial well-being: the goal of financial education. 2015.
Clarke M, Williamson P. Core outcome sets and trial registries. Trials. 2015;16:1–3.
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Johnson, L., Chen, Y., Stylianou, A. et al. Examining the impact of economic abuse on survivors of intimate partner violence: a scoping review. BMC Public Health 22, 1014 (2022). https://doi.org/10.1186/s12889-022-13297-4
- Economic abuse
- Financial abuse
- Intimate partner violence
- Domestic violence
- Scoping review