ライフサイエンスコーパス: bullying

1 adolescents, causing more episodes of verbal bullying.

2 cause they have no safe place to escape from bullying.

3 accelerate successful responses to academic bullying.

4 suicidal ideation compared with traditional bullying.

5 hould use evidence-based practices to reduce bullying.

6 ses in CRP compared with those uninvolved in bullying.

7 e) bullying; and perpetration of traditional bullying.

8 udies also impacted the higher prevalence of bullying.

9 ut traumatic events such as maltreatment and bullying.

10 association and the temporal antecedence of bullying.

11 sex and visual problems in the prediction of bullying.

12 males to be both perpetrators and targets of bullying.

13 revalence of serious injuries, violence, and bullying.

14 ucing some physical/psychological aspects of bullying.

15 e, emotional neglect, domestic violence, and bullying.

16 es that hold promise for reducing homophobic bullying.

17 om 110 788 adolescents completed measures of bullying.

18 ingival bleeding on the occurrence of verbal bullying.

19 nd service development for dealing with peer bullying.

20 ce the health burden associated with sibling bullying.

21 g, and mental health consequences of sibling bullying.

22 Ever exposure to witnessed and direct bullying (123 students [66.5%]; 150 physicians [89.3%])

23 ologic oncologists among males [38.5%]), and bullying (131 of 248 female gynecologic oncologists [52.

24 , 131 (47.5%) vs 1551 (29.3%; P < .001); and bullying, 220 (74.8%) vs 3730 (66.9%; P = .005); attendi

25 ally exam) pressures (35 [27%] individuals), bullying (28 [22%]), bereavement (36 [28%]), suicide in

26 ntities, race/ethnicity-based experiences of bullying (375 students [9.5%]) and bullying perpetration

27 In an effort to address school bullying, 49 states have passed antibullying statutes.

28 to harmful content (646 [64.3%]) and online bullying (533 [53.0%]).

29 p; 33 of 166 (19.9%) who engaged in frequent bullying, 58 of 251 (23.1%) frequently exposed to bullyi

30 indicated exposure to physical violence and bullying, about a third reported injury, about a quarter

31 xperiences of harassment (sexual harassment, bullying, abuse, and discrimination) by other health car

32 pact the health of children and adolescents: bullying, adverse childhood experiences (ACEs) and texti

33 cial conditions-childhood (family rejection, bullying, adverse childhood experiences, childhood sexua

34 t opponents ranked slightly below self), and bullying (aggress against opponents ranked much lower th

35 ; 95% CI: 0.65-1.40; p < 0.001; frequency of bullying: aMD = -2.77; 95% CI: -3.40 to -2.14; p < 0.001

36 prevalence of cyberbullying and traditional bullying among adolescents in England, and assess its re

37 ween gingival bleeding and reports of verbal bullying among adolescents.

38 Bullying and being exposed to bullying among children is prevalent, especially among c

39 e search for programs to prevent or diminish bullying among schoolchildren.

40 The prevalence of bullying among US youth is substantial.

41 (95% CI, 15%-32%) reduced odds of reporting bullying and 20% (95% CI, 9%-29%) reduced odds of report

42 Self-report of involvement in bullying and being bullied by others.

43 Bullying and being exposed to bullying among children is

44 Experiences of bullying and bullying perpetration based on race/ethnici

45 re was substantial variation in the rates of bullying and cyberbullying across states.

46 Exposure to bullying and cyberbullying in the past 12 months.

47 h those adolescents who reported traditional bullying and cyberbullying once or twice in the past cou

48 Behavior Surveillance System on experiencing bullying and cyberbullying.

49 ated with decreased odds of exposure to both bullying and cyberbullying: statement of scope, descript

50 ticular programmes concentrating on reducing bullying and drug use and improving mental health.

51 necessity of implementing preventative anti-bullying and family strengthening interventions among ad

52 and 13 years using the previously validated Bullying and Friendship Interview Schedule.

53 Evidence on workplace bullying and harassment (WBH) in the UK has not used pro

54 cluding fewer opportunities to operate, more bullying and harassment, less access to mentorship, and

55 ealth professionals should ask about sibling bullying and interventions are needed for families to pr

56 vention approaches designed to reduce school bullying and its harmful effects.

57 tions could work by reducing discrimination, bullying and marginalization.

58 are of variance after adjustment for offline bullying and other covariates.

59 The causal relation between school bullying and psychopathologic behavior has been the focu

60 abuse did not affect the association between bullying and psychotic symptoms, but reduced the signifi

61 elationship was observed between severity of bullying and risk for psychotic experiences.

62 ell as online risks such as harassment/cyber bullying and sexual solicitation.

63 gical trainees' self-reported experiences of bullying and symptoms of burnout and suicidality assesse

64 Early detection of bullying and use of treatments oriented towards its psyc

65 5% CI 1.47-2.19; p<0.0001), and all forms of bullying and victimisation.

66 rents, decisions were influenced by: fear of bullying and, to a lesser degree, concerns around the im

67 s for childhood trauma (physical assault and bullying) and psychotic experiences.

68 ing, 58 of 251 (23.1%) frequently exposed to bullying, and 24 of 77 (31.2%) who both frequently engag

69 e, 66.9% for nonphysical violence, 39.7% for bullying, and 25% for sexual harassment, with 32.7% of n

70 hotic symptoms associated with maltreatment, bullying, and accidents in a nationally representative U

71 to multiple forms of racism, discrimination, bullying, and harassment in medical education, training,

72 Discrimination, bullying, and harassment in medicine have been reported

73 Direct and witnessed racism, discrimination, bullying, and harassment were measured as any experience

74 increases the risk of being involved in peer bullying, and is independently associated with concurren

75 sical activity), contextual factors (hunger, bullying, and loneliness), protective factors (number of

76 rts to lower the risk of early sexual abuse, bullying, and maltreatment are likely to also be effecti

77 nce early in-person adversity, sexual abuse, bullying, and maltreatment were taken into account.

78 on the precursors, factors relating to peer bullying, and mental health consequences of sibling bull

79 Information about bullying, exposure to bullying, and psychiatric symptoms were obtained from pa

80 erpersonal discrimination (unfair treatment, bullying, and safety); and health inequities (forgone he

81 are often extensions of dating abuse, sexual bullying, and sexual harassment, not only events perpetr

82 w that online risks such as addiction, cyber bullying, and sexual solicitation are associated with ne

83 articularly large for assault victimization, bullying, and sexual victimization.

84 youth who are at risk for online addiction, bullying, and solicitation, we need more research to und

85 s, opticians should be aware of the risks of bullying, and strategies should be developed and discuss

86 Identifying stigmatization, including bullying, and tracking improvement through medical and p

87 otional abuse or neglect, verbal or indirect bullying, and/or parental conflict.

88 olence between parents; parental separation; bullying; and parental criminal conviction, with data co

89 victimization by traditional (face-to-face) bullying; and perpetration of traditional bullying.

90 nd friends; thriving at school; experiencing bullying; and romantic relationships.

91 Both bullies and victims of bullying are at risk for psychiatric problems in childho

92 ed and no national data on the prevalence of bullying are available.

93 Studies suggest that adolescents involved in bullying are more likely to carry weapons than their uni

94 nic medical conditions, and highlights cyber bullying as a rising issue.

95 Involvement in bullying as a victim, bully, or bully-victim is related

96 reported moderate or frequent involvement in bullying, as a bully (13.0%), one who was bullied (10.6%

97 imate may moderate the forms and severity of bullying, as well as predict its prevalence across count

98 l and emotional difficulties associated with bullying, as well as the potential long-term negative ou

99 tent with causal contribution of exposure to bullying at 11 years to concurrent anxiety, depression,

100 Participants who were bullies and exposed to bullying at 8 years of age had a high risk for several p

101 chopathologic behavior that led to new-onset bullying at follow-up were also present at follow-up, ma

102 The overall prevalence of bullying at least once in the past 30 days was 34.4% (27

103 in the study were articles that (1) assessed bullying at school; (2) assessed the effectiveness of an

104 ta = 0.57) (burn-out: beta = 0.74, sustained bullying at the workplace beta = 0.48 and decision-makin

105 with chronic medical problems by addressing bullying at well child visits.

106 in identifying patients who are involved in bullying, at risk of developing type 2 diabetes mellitus

107 re, cyberbullying, attitudes that discourage bullying, attitudes that encourage bullying, mental heal

108 nabis use (B, 0.47; 95% CI, 0.12-0.81), peer bullying (B, 0.43; 95% CI, 0.08-0.77), and dropout poten

109 vention programs that address experiences of bullying based on multiple marginalized identities.

110 en with complete information about childhood bullying behavior was followed up from 8 to 29 years of

111 participants, 4540 (90.2%) did not engage in bullying behavior; of these, 520 (11.5%) had received a

112 d using the Peer-Victimization Scale and the Bullying-Behavior Scale.

113 Recent literature shows that bullying behaviors are common in children as young as ki

114 adolescents may also experience teasing and bullying behaviors based on their weight.

115 perpetrators, reasons for and the nature of bullying behaviors, and how recipients react to and mana

116 iors, and how recipients react to and manage bullying behaviors.

117 e national level; guidance on recognition of bullying behaviours for employees, managers, and human r

118 idered to be relevant to suicide (eg, abuse, bullying, bereavement, academic pressures, self-harm, an

119 milial factors most strongly associated with bullying between siblings.

120 the following 8 variable categories: overall bullying, bullying perpetration, bullying exposure, cybe

121 lt (relative risk=3.16, 95% CI=1.92-5.19) or bullying by peers (relative risk=2.47, 95% CI=1.74-3.52)

122 both ethnic similarities (physical abuse and bullying by peers) and differences (sexual abuse and dis

123 igher rates of sexual abuse, physical abuse, bullying by peers, and discrimination than healthy compa

124 examined whether sexual and physical abuse, bullying by peers, and ethnicity-based discrimination ar

125 en had experienced maltreatment by an adult, bullying by peers, or involvement in an accident.

126 , rates of sexual abuse, physical abuse, and bullying by peers-but not discrimination-were significan

127 Early intervention among those involved in bullying can prevent long-term consequences.

128 Unlike traditional bullying, CB thrives in digital environments where anony

129 ssociation between litigation and homophobic bullying, comparing students in schools that experienced

130 ial dominance patterns (close competitors or bullying) consistent with higher levels of social inform

131 Determining to what extent exposure to bullying contributes to mental health is an important co

132 puberty, and those with experiences of peer bullying, cyberbullying, and greater family conflict bef

133 Furthermore, bullying data also suggest that the CLASH model may appl

134 Bullying data support the CLASH model of aggression by s

135 hat socially threatening experiences such as bullying degrade mental health partly by fostering the b

136 by exposure to 5 environmental risk factors (bullying, dependent life events, cannabis use, tobacco u

137 epression, exposure to social stressors (eg, bullying, discordant relationships, or stressful life ev

138 et current approaches to reducing homophobic bullying either lack empirical evidence or encounter sig

139 Recent research on bullying emphasizes its impact on children with chronic

140 entofacial features are related to increased bullying episodes in young people.

141 7-0.79] versus 0.23 [0.10-0.36], p < 0.001); bullying (ES [95% CI] = -2.22 [-2.84 to -1.60] versus -0

142 g interventions were efficacious in reducing bullying (ES, -0.150; 95% CI, -0.191 to -0.109) and impr

143 e likely to be victims of physical or verbal bullying, even after adjustment for social class and mat

144 Exposure to bullying, even in the absence of childhood psychiatric s

145 t, however, up to 40% are exposed to sibling bullying every week, a repeated and harmful form of intr

146 additional evidence for the causal effect of bullying experience on the later development of psychopa

147 at follow-up were associated with antecedent bullying experience.

148 At age 12, children were asked about bullying experiences and psychotic symptoms.

149 ems, is a consequence rather than a cause of bullying experiences.

150 om 7,771 participants whose parents reported bullying exposure at ages 7 and 11 years, and who partic

151 Interventions need to reduce bullying exposure in childhood and minimize long-term ef

152 es: overall bullying, bullying perpetration, bullying exposure, cyberbullying, attitudes that discour

153 Information about bullying, exposure to bullying, and psychiatric symptoms

154 Victims of frequent bullying had higher rates of depression (odds ratio=1.95

155 ly engaged in and were frequently exposed to bullying had received psychiatric diagnoses at follow-up

156 to both maltreatment and bullying or whether bullying has a unique effect.

157 Maltreatment by peers (ie, bullying) has also been shown to have long-term adverse

158 e offensive behaviours, such as violence and bullying, have been linked to psychological symptoms, bu

159 ychiatric disorder with frequent exposure to bullying (hazard ratio [HR], 1.9; 95% CI, 1.4-2.5) and b

160 I, 1.4-2.5) and being a bully and exposed to bullying (HR, 2.1; 95% CI, 1.3-3.4).

161 often neglect experiences of identity-based bullying (IBB) stemming from other marginalized identiti

162 behaviors (e.g., precocious sexual activity, bullying, illicit substance use).

163 tive, and attentional responses to simulated bullying in adolescents and adults and tested whether th

164 tested this prediction by examining how peer bullying in childhood impacted adolescent mental health,

165 rect detrimental contribution of exposure to bullying in childhood to mental health is provided.

166 characterize the contribution of exposure to bullying in childhood to mental health using a twin diff

167 Placing bullying in context, we consider the unique features of

168 the ratio of odds ratios (ROR) of homophobic bullying in schools directly involved in the litigation

169 Whether childhood bullying or exposure to bullying in the absence of childhood psychiatric symptom

170 d higher fixation frequency during simulated bullying in the eye tracking experiment.

171 he highest rates of nonphysical violence and bullying in the Middle East.

172 695 [24%] boys) reported any form of regular bullying in the past couple of months.

173 ctim or perpetrator for overt and relational bullying, in a standard interview.

174 mponents (eg, responsibilities for reporting bullying incidents), and additional components (eg, how

175 n those adolescents who reported traditional bullying (including physical, verbal, and relational bul

176 Sibling bullying increases the risk of being involved in peer bu

177 psychopathology, substance use, child abuse, bullying, internet use, and youth suicidal behavior.

178 veness, the population impact of school anti-bullying interventions appeared to be substantial.

179 ulation impact (measured by the PIN) of anti-bullying interventions on the following 8 variable categ

180 omized clinical trials (RCTs) assessing anti-bullying interventions published from database inception

181 Anti-bullying interventions were efficacious in reducing bull

182 with that of resource-intensive school-based bullying interventions.

183 n to programs that aim to reduce exposure to bullying, interventions may benefit from addressing pree

184 nt predictor of public health issues such as bullying, intimate partner violence, and homicide.

185 Structured interviews were used to assess bullying involvement and relevant covariates at all chil

186 rained psychologists assessed the children's bullying involvement as either victim or perpetrator for

187 Bullying is a common childhood experience that involves

188 Because school bullying is a known correlate of youth violence, such a

189 Bullying is a major public health problem.

190 Bullying is a pervasive problem affecting school-age chi

191 Bullying is a prevalent and modifiable risk factor for m

192 Academic bullying is a serious issue that affects all disciplines

193 orbidity Surveys to test the hypothesis that bullying is associated with individual psychotic phenome

194 Workplace bullying is associated with mental disorders and suicida

195 Exposure to bullying is associated with poor mental health.

196 INTERPRETATION: Traditional bullying is considerably more common among adolescents i

197 e among US youth is a current major concern, bullying is infrequently addressed and no national data

198 even after their involvement in face-to-face bullying is taken into account.

199 Bullying is the most widespread form of peer aggression

200 demographic information, social factors (eg, bullying, lack of support, and social transition), and c

201 A novel predictor of bullying may be underlying regional weather conditions (

202 ings also suggest that childhood exposure to bullying may partly be viewed as a symptom of preexistin

203 A child's role in bullying may serve as either a risk or a protective fact

204 99; women: OR, 5.72; 95% CI, 4.09-8.01), and bullying (men: OR, 1.51; 95% CI, 1.07-2.12; women: OR, 2

205 iscourage bullying, attitudes that encourage bullying, mental health problems (eg, anxiety and depres

206 ative outcomes for these youth, the issue of bullying merits serious attention, both for future resea

207 bers for participants with data on workplace bullying (n=191 783) were 1144 suicide attempts or death

208 Overall, 29.4% of parents were aware of bullying of their child, which was strongly associated w

209 ons aimed at reducing the negative impact of bullying on mental health may thus benefit from bolsteri

210 peer victimization, the immediate effects of bullying on the central nervous system remain elusive.

211 al, verbal, and relational (ie, traditional) bullying only, while 406 (<1% total, 276 [<1%] girls, 13

212 ntisocial activities (p=0.004 and p<0.0001), bullying or being bullied (p=0.005 and p<0.0001), low ed

213 Whether childhood bullying or exposure to bullying in the absence of child

214 hted percentage [SE], 12.2% [1.1%]) reported bullying or hazing during deployment.

215 ression was used to estimate associations of bullying or hazing exposure with the outcomes.

216 ics and other potential traumas, exposure to bullying or hazing was significantly associated with MDD

217 ue to being exposed to both maltreatment and bullying or whether bullying has a unique effect.

218 OR, 1.23; 95% CI, 1.10-1.38; P < .001), peer bullying (OR, 1.71; 95% CI, 1.11-2.65; P = .02), cyberbu

219 (including physical, verbal, and relational bullying) or cyberbullying 2-3 times a month or more com

220 ted greater increases in CRP levels, whereas bullying others predicted lower increases in CRP compare

221 stressful events to identify experiences of bullying over the entire lifespan.

222 l abuse, emotional abuse, emotional neglect, bullying, parental substance use or abuse, violence betw

223 (eg, physical attack, physical fighting) and bullying per country.

224 iences of bullying (375 students [9.5%]) and bullying perpetration (209 students [5.8%]) were the mos

225 Reviewing the latest findings on bullying perpetration and victimization, we highlight th

226 Experiences of bullying and bullying perpetration based on race/ethnicity/national o

227 ing 8 variable categories: overall bullying, bullying perpetration, bullying exposure, cyberbullying,

228 riad forms of ELS-including childhood abuse, bullying, poverty, and trauma-are increasingly prevalent

229 If reported at baseline, bullying predicted emergence and maintenance of persecut

230 l; (2) assessed the effectiveness of an anti-bullying program; (3) had an RCT design; (4) reported re

231 The effectiveness of anti-bullying programs did not diminish over time during foll

232 ies have supported the effectiveness of anti-bullying programs; their population impact and the assoc

233 t of 608 adolescents evaluated, 577 answered bullying questions.

234 on to examine the association between racial bullying (RB) and the initiation of alcohol and tobacco

235 nd civility) and actions (e.g. incorporating bullying records into institutional rankings) that accel

236 pants described experiences of rejection and bullying related to acne and admitted avoiding social in

237 portant topics in pediatric office practice: bullying, screening for the prediabetic state, and pedia

238 Violent experiences in childhood (bullying, sexual and physical abuse, violent events, wit

239 ypes of violence were physical, nonphysical, bullying, sexual harassment, and combined (type of viole

240 using a nursing sample, and include data on bullying, sexual harassment, and/or violence exposure ra

241 However, homophobic bullying slightly increased in the school and district w

242 these associations disappeared when baseline bullying status was adjusted.

243 The link between sibling and peer bullying suggests interventions need to start at home.

244 eding had an 80% higher prevalence of verbal bullying than their counterparts (PR 1.80; 95% CI 1.01 -

245 e highlight the social dominance function of bullying, the inflated self-views of bullies, and the ef

246 ental school was based on zero tolerance for bullying; the control school received only regular psych

247 and longitudinal contribution of exposure to bullying to mental health in childhood and adolescence u

248 ect detrimental contributions of exposure to bullying to mental health remains uncertain, as noncausa

249 rongly associated with adverse outcomes than bullying unrelated to bias.

250 Exposure to bullying versus positive social interaction engaged the

251 Bullying victimisation increases the risk of individual

252 m the GSMS cohort provided information about bullying victimisation, maltreatment, and overall mental

253 Moreover, effects of bullying victimization and bullying victimization x help

254 results suggest that the association between bullying victimization and OCD/OCS is likely due to gene

255 sure to maternal domestic violence, frequent bullying victimization and physical maltreatment by an a

256 rmative study examined whether self-reported bullying victimization at age 15 was associated with a c

257 Specifically, bullying victimization decreased Glx levels, whereas hel

258 The extent to which bullying victimization is associated with an increased r

259 ex, each standard deviation (SD) increase in bullying victimization was associated with a 32% increas

260 Childhood bullying victimization was associated with a lack of soc

261 eover, effects of bullying victimization and bullying victimization x help-seeking intention interact

262 Moreover, we investigated associations of bullying victimization, a risk factor for subclinical ps

263 Finally, associations among bullying victimization, help-seeking intention, Glx leve

264 coping strategy against stressors including bullying victimization, with Glx levels.

265 nt after controlling for known correlates of bullying victimization.

266 thors examined midlife outcomes of childhood bullying victimization.

267 (fMRI) while watching first-person videos of bullying (victimization) in the school environment, as w

268 The prevalence of self-reported verbal bullying was 12.8%.

269 Workplace bullying was also associated with an increased suicide r

270 School bullying was assessed by peer nomination, and 7 subscale

271 Bullying was associated with a diagnosis of probable psy

272 Bullying was associated with presence of persecutory ide

273 Bullying was associated with psychiatric outcomes only i

274 School bullying was categorized into 4 groups: victims, perpetr

275 Traditional bullying was defined as repeated, intentional aggression

276 The frequency of bullying was higher among 6th- through 8th-grade student

277 Bullying was most strongly associated with the presence

278 Exposure to bullying was specifically associated with depression (HR

279 The occurrence of verbal bullying was verified through adolescents' self-report.

280 ily to witnessing violence and peer physical bullying, was associated with an opposite pattern of gre

281 While both forms of bullying were associated with poorer mental well-being,

282 Perpetrating and experiencing bullying were associated with poorer psychosocial adjust

283 nglo countries, and nonphysical violence and bullying were most prevalent in the Middle East.

284 The most common types of bullying were physical (18.3%, 13.7-23.0), verbal-sexual

285 In GSMS, both maltreatment and bullying were repeatedly assessed with annual parent and

286 Workplace violence and bullying were self-reported at baseline.

287 Homophobic bullying-which is motivated by actual or perceived sexua

288 e the incidence and consequences of academic bullying while at the same time building constructive ac

289 ss the association of workplace violence and bullying with the risk of death by suicide and suicide a

290 ut few studies have examined associations of bullying with these outcomes among military personnel.

291 ay lead to reductions in rates of homophobic bullying, with effect sizes comparable with that of reso