Key Takeaways
- 1 in 3 women (approximately 35%) worldwide have experienced either physical and/or sexual intimate partner violence or non-partner sexual violence in their lifetime, and psychological violence is commonly included within IPV experiences—showing that non-physical abuse is a major component of violence prevalence
- 37% of women worldwide have experienced either physical and/or sexual violence or stalking by an intimate partner—underscoring that controlling/psychologically abusive behaviors frequently accompany partner violence
- 6.6% of U.S. adults reported being victims of psychological violence (emotional abuse) during the past 12 months in a national survey—indicating a measurable prevalence of non-physical abuse in the general population
- In a systematic review, psychological intimate partner violence is associated with increased odds of depression (pooled effect reported in the review)—linking psychological abuse to mental health risk
- In a meta-analysis, psychological abuse in intimate relationships was associated with increased risk of posttraumatic stress symptoms (reported as a pooled effect)—indicating elevated trauma-related risk
- Children exposed to intimate partner violence had higher risk of behavioral problems, with psychological abuse being a key component assessed in many IPV studies—quantified risk reported in a major meta-analysis
- Psychological violence by an intimate partner is strongly associated with depression: a meta-analysis reported that psychological IPV has a pooled association with depressive symptoms (effect size reported in the study)
- A meta-analysis found psychological intimate partner violence is associated with increased odds of anxiety symptoms, with a pooled effect reported—quantifying mental health impact
- In a longitudinal study, exposure to psychological aggression predicted an increase in PTSD symptoms (with statistical significance reported) — quantifying trauma-related impact
- In a national estimate, victims of intimate partner violence had higher health system utilization, with multiple healthcare visits reported more frequently in victim groups (quantified in the report)
- A meta-analysis found workplace bullying has a measurable negative impact on work performance outcomes; the pooled effect sizes translate into lost productivity risk—quantifying economic pathways
- In a peer-reviewed study, workplace bullying is associated with increased sickness absence; a quantified percentage increase in sick leave days was reported—linking psychological abuse to economic loss
- WHO recommends screening and addressing intimate partner violence, including psychological violence, in healthcare settings; WHO’s guidance is presented in the Clinical and policy packages report—showing intervention focus
- The U.S. Preventive Services Task Force recommends screening for intimate partner violence in women of reproductive age, including psychological violence components, when systems can support interventions (recommendation statement)—quantifying evidence-based prevention guidance
- A meta-analysis of intervention programs for IPV victims reported that advocacy and counseling interventions had small-to-moderate improvements in safety outcomes, with pooled effect estimates—measuring intervention effectiveness
Psychological abuse is widespread in intimate partner violence and strongly linked to depression, anxiety, trauma, and higher healthcare needs.
Related reading
Prevalence Rates
Prevalence Rates Interpretation
Risk Factors
Risk Factors Interpretation
More related reading
Mental Health Impacts
Mental Health Impacts Interpretation
Economic Burden
Economic Burden Interpretation
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Prevention & Intervention
Prevention & Intervention Interpretation
Prevalence & Risk
Prevalence & Risk Interpretation
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Health Impact
Health Impact Interpretation
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Cost & Productivity
Cost & Productivity Interpretation
Intervention & Policy
Intervention & Policy Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Lukas Bauer. (2026, February 13). Psychological Abuse Statistics. Gitnux. https://gitnux.org/psychological-abuse-statistics
Lukas Bauer. "Psychological Abuse Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/psychological-abuse-statistics.
Lukas Bauer. 2026. "Psychological Abuse Statistics." Gitnux. https://gitnux.org/psychological-abuse-statistics.
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