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1 for sexual violence, and 16.4% for emotional violence).
2 nt violence (i.e., physical and non-physical violence).
3 risk of depression for women who experience violence.
4 al, and individual levels to prevent firearm violence.
5 iated with the risk of perpetrating physical violence.
6 epression, significantly predicted injurious violence.
7 =1.39) were associated with future injurious violence.
8 ghtened risk of behavioral disinhibition and violence.
9 eported engaging in exclusively noninjurious violence.
10 ingness to actively participate in political violence.
11 swer questions on their experience of sexual violence.
12 risk for both internalized and externalized violence.
13 to 25% of outlets with the highest levels of violence.
14 o empower women and prevent intimate partner violence.
15 eported sexual or emotional intimate partner violence.
16 c methods that explain and predict insurgent violence.
17 ing social behaviors involving interpersonal violence.
18 udes and beliefs related to intimate partner violence.
19 ntial fraction of women recover after sexual violence.
20 ial interactions that varied with respect to violence.
21 gions of the world experiencing conflict and violence.
22 evalent, especially in terms of non-physical violence.
23 s a moral logic to reasoning about political violence.
24 a clinically feasible risk index for firearm violence.
25 se as proactive strategies to decrease urban violence.
26 ng the causes of self-harm and interpersonal violence.
27 as reports per capita of crime and domestic violence.
28 risk of food insecurity and intimate partner violence.
29 , and interventions for survivors of firearm violence.
30 classified as having a high level of firearm violence.
31 interventions to reduce the harms of firearm violence.
32 an association between drought and emotional violence.
33 emic but also an outbreak of state-sponsored violence.
34 use in this population is a risk factor for violence.
35 twork dynamics motivate and maintain extreme violence.
36 abuse; war-affected; refugees; and domestic violence.
37 ult is unusually severe levels of intergroup violence.
38 ing a crime in a sample at high risk for gun violence.
39 ment is key to reducing the harms of firearm violence.
40 ress attitudes accepting of intimate partner violence (0.45, 0.34-0.61; p<0.0001) or beliefs that int
41 on (2.02, 1.45-2.91, p<0.0001), no community violence (1.81, 1.30-2.55, p<0.0001), and no emotional o
43 on (2.59, 1.63-4.59, p<0.0001), no community violence (2.43, 1.65-3.86, p<0.0001), and no emotional o
45 among mothers was 33.3% (27.6% for physical violence, 8.4% for sexual violence, and 16.4% for emotio
46 ical, sexual, and emotional intimate partner violence; acceptability and tolerance of intimate partne
48 cal violence, sexual violence, and emotional violence), accounting for demographic and socioeconomic
49 rated males, we investigated how exposure to violence affects the ability to learn about the harmfuln
54 on, wandering away without notifying anyone, violence against others, damaging goods, and suicide.
55 utcome, IPV, was assessed by the Severity of Violence Against Women Scale (SVAWS) physical/sexual vio
56 risk factors include poverty, low education, violence, alcohol and drug use, human immunodeficiency v
57 ned associations between these disorders and violence, alcohol/drug use, condom use, and HIV/sexually
58 among men and women, and fatal accidents and violence among men, might be causally associated with un
61 es should prioritise the development of anti-violence and anti-injury programmes to improve health in
62 ed the direct relationship between workplace violence and burnout; and the indirect relationship betw
64 f color being the subject of law enforcement violence and criminal justice system interactions at dis
67 he impacts of social and economic factors on violence and firearm homicide rates, to the author's kno
68 mediated the relationship between workplace violence and health outcomes including musculoskeletal i
69 n explaining the association between patient violence and health professionals' occupational turnover
74 lescent and adult survivors of interpersonal violence and non-trauma-exposed demographically matched
76 about the acceptability of intimate partner violence and perceived norms about intimate partner viol
77 discriminatory law enforcement practices and violence and personal and community health necessitates
78 indirect effects for the association between violence and preterm birth were observed for infection (
79 n living in a neighborhood with high firearm violence and preterm delivery, and assessed whether ther
80 taneous strong effects of baseline injurious violence and recent violent victimization on future inju
83 d the capacity for extreme territorial-based violence and warfare, whilst also engaging in the strong
84 lth (suicidality, psychosis, depression, and violence), and increased risk of cardiovascular events.
86 partner, Suzanne Eaton to a senseless act of violence, and all assumptions were called into question.
88 of IPV separately (physical violence, sexual violence, and emotional violence), accounting for demogr
93 r work environments may not expect workplace violence, and they may be at more burnout risk than nurs
94 eptability and tolerance of intimate partner violence; and attitudes and beliefs related to intimate
95 s likely to report physical intimate partner violence (aOR 0.64, 95% CI 0.41-0.99; p=0.043) and were
96 deaths were previously collected by the Gun Violence Archive, and then linked by the British newspap
99 However, direct links between climate and violence are unlikely because cultural institutions modi
101 capita of liquor or convenience stores, and violence as measured by reports of violent crime and rep
102 or participants with no history of injurious violence at study entry, baseline noninjurious violence
104 and tailor care focused on safety planning, violence awareness, self-efficacy, and referral to socia
105 ships (2014)], who assert that people commit violence because they believe it is the morally right th
106 parental mental illness or suicide attempt; violence between parents; parental separation; bullying;
107 ere so much variation in reactive aggression/violence between people living in the same environment?
108 physical and mental consequences of firearm violence but also focuses our attention on underlying ca
112 Nonetheless, our findings show that patient violence can be related to health professionals' intenti
114 imate partner violence or non-partner sexual violence, childhood trauma, and harsh parenting (smackin
116 ticipants' recent injurious and noninjurious violence, demographic and background variables, childhoo
117 ding low school attendance, intimate partner violence, depression, transactional sex, and age-dispara
121 rses are particularly at risk from workplace violence due to the nature of their work or inadequacies
122 ipants (5.4%) reported engaging in injurious violence during follow-up, and 119 (8.3%) reported engag
125 8-2.42); having experienced intimate partner violence during the previous 6 months (1.65, 1.10-2.48);
128 e overall prevalence of serious injuries and violence (eg, physical attack, physical fighting) and bu
129 rminants may help to address the growing gun violence epidemic and reverse recent life expectancy dec
131 lyses found significant associations between violence experience and depression, violence experience
132 between violence experience and depression, violence experience and recent suicidal behaviour, alcoh
134 ss 8 sites) included limited questions about violence exposure and information for abused women but n
136 hose with the CC genotype and high levels of violence exposure, as well as females with the CC genoty
137 g and marijuana use and experience of sexual violence, feminine gender expression in adulthood was ne
139 re to armed attacks, sexual and gender-based violence, food security and feeding practices, nutrition
141 safe schools (ie, without teacher or student violence), free schools, parenting support, free school
145 ericans, the looming threat of exclusion and violence has been an unwelcome companion since birth.
148 e (hazard ratio=2.93), baseline noninjurious violence (hazard ratio=2.72), childhood sexual abuse (ha
149 e multivariable analysis, baseline injurious violence (hazard ratio=4.02), recent violent victimizati
151 cipants reported their experience of patient violence (i.e., physical and non-physical violence).
152 isonment modestly reduced the probability of violence if comparisons included the effects of incapaci
153 variable analysis of predictors of injurious violence in a large cohort of patients with schizophreni
154 annabis use and the perpetration of physical violence in a sample of youths and young adults <30 year
156 the extent, nature, and perpetrators of the violence in Northern Rakhine State in August, 2017, and
157 ined the role of racism, discrimination, and violence in one's interaction with the health care syste
161 374-1.825) and experienced patient-initiated violence in the past 12 months (OR = 1.566, 95%CI = 1.37
164 their community members fled was because of violence in their hamlet or in a neighbouring hamlet.
165 sques; 531 (89%) of 599 respondents reported violence in their hamlets before flight and 373 (64%) of
173 tions, a general rule is that aggression and violence increase as one moves closer to the equator, wh
174 ce of psychosis, increased perceived risk of violence, increased police contact, absence of or mistru
181 ce and severity of physical intimate partner violence (IPV) during the coronavirus disease 2019 (COVI
186 posure, such as exposure to intimate partner violence (IPV), to predict self-regulation indicators an
190 s elevated for individuals with a history of violence (IRR 5.19, 95% CI 4.45-6.06) or self-harm (12.6
191 18 college women who had experienced sexual violence irrespective of whether they met DSM-5 diagnost
195 ; p<0.0001) or beliefs that intimate partner violence is a private matter (0.51, 0.32-0.81; p=0.005)
199 r violence, suggesting that intimate partner violence is preventable in high-risk settings such as Ta
201 0.7, 95% CI 0.2, 1.1; p = 0.003) and sexual violence (marginal RD = 0.7, 95% CI 0.3, 1.2; p = 0.001)
202 1.3, 4.6; p < 0.001), experiencing physical violence (marginal RD = 0.8, 95% CI 0.1, 1.5; p = 0.019)
203 .1, 1.5; p = 0.019), and experiencing sexual violence (marginal RD = 1.2, 95% CI 0.4, 2.0; p = 0.001)
206 (n = 156; 23.7%), lifetime intimate partner violence (n = 310; 47.3%), and history of maternal child
209 are often modelled on the territorial-based violence of chimpanzees, with limited comparison to othe
210 erent effects of targeted versus nontargeted violence on Ebola virus (EBOV) transmission in Democrati
212 rts of violent crime and reports of domestic violence, operationalized as reports per capita of crime
213 ed positive for any form of intimate partner violence or fear of a partner in the 6 months before rec
214 red near ZPG under harsher conditions (e.g., violence or food shortage), modern Homo sapiens were equ
215 rpetration or experience of intimate partner violence or non-partner sexual violence, childhood traum
216 tion in the trial had led to new episodes of violence or worsening of ongoing violence and abuse.
217 ast-year physical or sexual intimate partner violence, or both, compared with 119 (27%) of 434 in the
218 of women have experienced physical or sexual violence, or both, from an intimate partner during their
219 Reported physical or sexual intimate partner violence, or both, was reduced among women who participa
221 nd experiencing emotional violence, physical violence, or sexual violence in the 12 months prior to s
226 between hypothesised protective factors and violence outcomes were estimated jointly in a sex-strati
227 experiencing emotional or moderate physical violence, over half reported it had increased since the
228 Illegal residence (p < 0.001), domestic violence (p < 0.05) and a history of mental illness (p <
229 ions for women experiencing intimate partner violence, particularly into the duration needed for inte
230 onthly income, work hours, patient-initiated violence, perceived patient respect, physician-nurse coo
231 me, work hours, history of patient-initiated violence, perceived respect from patients, social recogn
232 l progression (1.57, 1.17-2.13, p=0.004), no violence perpetration (2.02, 1.45-2.91, p<0.0001), no co
233 high-risk sex (2.44, 1.45-5.03, p=0.005), no violence perpetration (2.59, 1.63-4.59, p<0.0001), no co
234 14] versus 0.62 [0.46-0.84], p < 0.001); and violence perpetration (OR [95% CI] = 0.16 [0.09-0.29] ve
236 s; respondent's reported history of domestic violence perpetration, mental illness, substance misuse,
237 ssion, no sexual abuse, no high-risk sex, no violence perpetration, no community violence, and no emo
239 R] = 0.08; 95% CI: 0.04-0.14; p < 0.001; and violence perpetration: OR = 0.16; 95% CI: 0.09-0.29; p <
240 k factor for IPV) and experiencing emotional violence, physical violence, or sexual violence in the 1
241 gative participants experiencing social (eg, violence, poverty) and interpersonal (eg, discrimination
242 complications, obesity, recent interpersonal violence, pre- and early postpartum stress, gestational
243 We therefore aimed to assess the effect of a violence prevention intervention delivered to women part
244 ed, a bill that included $25 million for gun violence prevention research at the Centers for Disease
245 is an ineffective long-term intervention for violence prevention, as it has, on balance, no rehabilit
246 for example, urban planning, sexual health, violence prevention, substance use, and community transf
252 ies and have a higher frequency of potential violence-related imaging findings when compared with age
253 The prevalence of unintentional injuries and violence remain high among young adolescents in LMICs.
255 onsidering callous-unemotional traits in gun violence research both because callous-unemotional trait
258 PV and each type of IPV separately (physical violence, sexual violence, and emotional violence), acco
259 three dimensions of empowerment: attitude to violence, social independence, and decision making.
260 Against Women Scale (SVAWS) physical/sexual violence subscale, and the secondary outcome, male alcoh
261 adult substance use and experience of sexual violence, suggesting that expressions of femininity typi
262 ct was greater for physical intimate partner violence, suggesting that intimate partner violence is p
264 individuals with co-occurring self-harm and violence than among those engaging in just one of these
265 lities were also at increased risk of sexual violence than were women without disabilities (11.0% vs
266 individuals with co-occurring self-harm and violence, the risk of accidental death, particularly acc
270 outlets and alcohol use and alcohol-related violence, using an agent-based model of the adult popula
271 ] versus -0.47 [-0.61 to -0.33], p < 0.001); violence victimisation (OR [95% CI] = 0.08 [0.04-0.14] v
272 5% CI -17.04 to -8.95, p < 0.001); community violence victimisation from 41.28% to 35.41% (ARD: -5.87
273 5% CI -16.00 to -8.83, p < 0.001); community violence victimisation, 36.25% and 28.37% (ARD: -7.87% p
274 , physical abuse, emotional abuse, community violence victimisation, and youth lawbreaking) and seven
275 = -2.77; 95% CI: -3.40 to -2.14; p < 0.001; violence victimisation: odds ratio [OR] = 0.08; 95% CI:
276 ggest that the association between childhood violence victimization and later cognition is largely no
278 ime, or hospitalisation due to interpersonal violence was 32.0% (95% CI 31.6-32.5) in the discharged
281 eliminary evidence suggests that the risk of violence was higher for persistent heavy users (odds rat
283 ng initiation, but only exposure to physical violence was independently associated with a decreased l
284 In healthier work environments, workplace violence was more strongly related to increased reports
286 olence at study entry, baseline noninjurious violence was the strongest predictor (hazard ratio=3.02)
289 lent criminality, and hospitalisation due to violence were more constant throughout the 10-year follo
291 h of their association with future injurious violence were similar to those for all participants.
292 al hazards models of time to first injurious violence were used to generate bivariable and multivaria
293 form of IPV (physical, sexual, or emotional violence) were less likely to initiate breastfeeding ear
294 ole of mental illness, robbery, and domestic violence; what is the role of private gun ownership (bot
295 pirically assessed the effect of exposure to violence when exploring the association between gun carr
296 anxiety and fear connected to experiences of violence, whereas the rest recalled joyful or emotionall
297 udy was to provide data on the correlates of violence, which may allow better risk assessment and car
298 ous living conditions, and the experience of violence, which might add to nutritional factors and chr
299 ssociation between cannabis use and physical violence, which remained significant regardless of study