ライフサイエンスコーパス: risk behavior

1 related to sexual beliefs as well as sexual risk behavior.

2 parents were partnered to report intentional risk behavior.

3 ctal infections are objective markers of HIV risk behavior.

4 DAA dose was also important in explaining risk behavior.

5 y HCV antibody and RNA negative despite high-risk behavior.

6 ication event monitoring systems) and sexual risk behavior.

7 colimbic pathway is a potential modulator of risk behavior.

8 rette smoking, psychiatric symptoms, and HIV-risk behavior.

9 V epidemic without substantial reductions in risk behavior.

10 rameters such as transmissibility and sexual risk behavior.

11 ced in 2006, than by changes in screening or risk behavior.

12 child relationship deter involvement in high-risk behavior.

13 eatment services and heterogeneity in sexual risk behavior.

14 nd drug-related human immunodeficiency virus risk behavior.

15 d long-term protective effects on adolescent risk behavior.

16 nce of substance use during sex on increased risk behavior.

17 ease in the size of the population with high-risk behavior.

18 ntrols, matched to duration of infection and risk behavior.

19 t may be more effective at curtailing sexual risk behavior.

20 g, there is no sustained trend for change in risk behavior.

21 n men may be preventable with a combined low-risk behavior.

22 mortality, and human immunodeficiency virus risk behavior.

23 reduce transmission by changing transmission-risk behavior.

24 ions in cervical cancer screening and sexual risk behaviors.

25 ly major depressive disorder (MDD), and high-risk behaviors.

26 urvey on their social media usage and sexual risk behaviors.

27 rgery for all donors or donors with specific risk behaviors.

28 g establishments, may be associated with HIV risk behaviors.

29 to novelty, the former associated with high-risk behaviors.

30 r adjusting for demographics and women's HIV risk behaviors.

31 easons and may be associated with other high-risk behaviors.

32 ed parent-child communication reduces sexual risk behaviors.

33 r -II VLs by demographic characteristics and risk behaviors.

34 ned for this population have not reduced HIV risk behaviors.

35 s for adults and should address age-specific risk behaviors.

36 Instead, they show reductions in health risk behaviors.

37 more likely to exhibit other serious health risk behaviors.

38 ulness of MMT in reducing heroin use and HIV risk behaviors.

39 nd self-reports of conditions, symptoms, and risk behaviors.

40 ations is generally not linked to particular risk behaviors.

41 pment and other human immunodeficiency virus risk behaviors.

42 d reporting was also found for several other risk behaviors.

43 dolescents (63%) reported 2 or more of the 5 risk behaviors.

44 ith a statistically significant reduction in risk behaviors.

45 assessed associations between TDV and health-risk behaviors.

46 understanding of, and engagement in, health risk behaviors.

47 , even when controlling for demographics and risk behaviors.

48 nd perhaps more likely - to engage in health risk behaviors.

49 rates of home-based HIV testing, and sexual risk behaviors.

50 increased healthcare utilization and reduced risk behaviors.

51 Primary outcomes were EVD risk behaviors (14 items, Cronbach's alpha = 0.84) and E

52 ends that physicians assess patients' health risk behaviors, addressing those needing modification.

53 Violence and injury risk behaviors, alcohol and drug use problems, and postt

54 zed instruments were used to assess violence risk behaviors, alcohol and drug use, and PTSD and depre

55 While gradual reduction of risk behaviors along with syphilis and HCV prevalence su

56 herence to PrEP along with changes in sexual risk behavior among adolescent men who have sex with men

57 sociated with greater frequency of injection risk behavior among depressed injection drug users.

58 , rates of adherence, and patterns of sexual risk behavior among healthy young MSM aged 15 to 17 year

59 f depression severity and drug injection HIV risk behavior among injection drug users.

60 ia interventions designed to decrease sexual risk behaviors among adolescents and young adults, and t

61 between social media sex-seeking and sexual risk behaviors among at-risk populations will help infor

62 en online social networking usage and sexual risk behaviors among at-risk populations.

63 , we tested an intervention to reduce sexual risk behaviors among homeless men with severe mental ill

64 ce of human immunodeficiency virus (HIV) and risk behaviors among injection drug users (IDUs).

65 rgely due to the higher prevalence of health risk behaviors among those with lower levels of educatio

66 ntions are needed to reduce HIV transmission risk behaviors among YMSM living with HIV, particularly

67 o characterize the HIV prevalence and sexual risk behaviors among young men.

68 eful in determining associations with health-risk behaviors among youth exposed to these different fo

69 bited a negative relationship between sexual risk behavior and condom use when they had experience of

70 For young people with chronic illness, risk behavior and depression are also common.

71 These data suggest that high-risk behavior and HIV incidence among IDUs have decrease

72 nown about the factors that influence sexual risk behavior and HIV testing in this population.

73 ctive research method for determining recent risk behavior and identifying clinical signs of acute pr

74 of ACASI within a longitudinal study of HIV risk behavior and infection.

75 is consistent with an important role of high-risk behavior and mucosal barrier impairment in the tran

76 ed a focus on the patient's specific HIV/STI risk behavior and negotiation of realistic and achievabl

77 assess trends in HIV incidence, prevalence, risk behaviors and access to prevention/treatment.

78 by the hope that early diagnosis will lower risk behaviors and decrease HIV transmission.

79 clinic patients answered questions about HIV risk behaviors and depression in a large-scale, cross-se

80 associations between war trauma and both EVD risk behaviors and EVD prevention behaviors may be media

81 odel linking mental health and trauma to EVD risk behaviors and EVD prevention behaviors.

82 (i.e., whether they had ever engaged in high-risk behaviors and had ever engaged in risk-reduction be

83 gies to intervene effectively may reduce HIV risk behaviors and improve health outcomes.

84 .88] vs 3.73 [6.86]) but not sex-related HIV risk behaviors and in a lower severity score for legal s

85 interviewing as a method to decrease health-risk behaviors and increase adherence to treatment plans

86 Measures are needed to reduce risk behaviors and increase monitoring in high-risk IDU

87 3323) were stratified on the basis of sexual risk behaviors and partnerships.

88 st the need to standardize evaluation of HIV risk behaviors and prevention counseling in New York Sta

89 Data on chronic disease risk behaviors and related variables, including barriers

90 -recruited IDUs under age 30, and to examine risk behaviors and sources of sterile needles.

91 Stronger associations between risk behaviors and STI were found with the computerized

92 motivational interviewing elements targeting risk behaviors and substance use as well as medication a

93 Recent literature exploring the etiology of risk behaviors and their impact on chronic illness is pr

94 eriences reported by FSWs in relation to HIV risk behaviors and violence.

95 s, allocate resources, economically penalize risk behavior, and broadly regulate in the public's inte

96 ing sociodemographics, reproductive history, risk behavior, and HIV and other STIs, were examined usi

97 other substances, psychiatric symptoms, HIV risk behavior, and inpatient service utilization.

98 ost evolutionary dynamics, un-modeled sexual risk behavior, and uncertainty in the stage of infected

99 either all donors or donors with recognized risk behaviors, and 55% never performed HIV NAT.

100 or are likely to engage in additional health risk behaviors, and as the number of risk behaviors incr

101 ealth risk behaviors, sexual beliefs, sexual risk behaviors, and condom use.

102 nity to correct misconceptions, decrease HCV risk behaviors, and encourage testing that might improve

103 V prevalence and incidence, frequency of HIV risk behaviors, and health status perceptions.

104 oices, work performance, delinquency, health risk behaviors, and income).

105 The relationship between movement, risk behaviors, and prevalence of HIV was assessed from

106 ddiction-related problems, prevalence of HIV risk behaviors, and program costs.

107 Many YMSM living with HIV engage in sexual risk behaviors, and those who have a detectable viral lo

108 Individual risk behaviors appeared less important for STD risk than

109 re is some evidence that both depression and risk behavior are associated with nonadherence to medica

110 Those who engage in one risk behavior are likely to engage in additional health

111 dvantaged women and women who engage in high-risk behaviors are more likely to be coinfected with HIV

112 ble sex partners, as well as any increase in risk behaviors, are more than offset by other effects, s

113 ied the temporal trends of HIV incidence and risk behavior, ascertained through semiannual confidenti

114 he appraisal of human immunodeficiency virus risk behaviors, assessment of effect of neurocognitive f

115 Behavioral interventions that target high-risk behavior associated with HCV transmission and treat

116 it has during the last decade; reducing high-risk behavior associated with HCV transmission would be

117 ologic characteristics of ADPKD or to cancer risk behaviors associated with ADPKD.

118 (4) Those that may be related to risk behaviors associated with bipolar disorder.

119 s to determine whether HIV infection or high-risk behaviors associated with HIV infection are related

120 = 355) if they were HIV positive or had high-risk behaviors associated with HIV infection as identifi

121 Individuals in this study population with risk behaviors associated with HIV infection smoked at a

122 cents' responses to 72 questions about their risk behaviors at a 2-week interval.

123 roup reported greater burden and more health risk behaviors at all time points; patients tended to be

124 n STD clinic patients is associated with HIV risk behaviors but not STD diagnosis.

125 information source about adolescents' health risk behaviors, but adolescents may not report their beh

126 o alterations in the stress system or health-risk behaviors, but rather a primary effect of early lif

127 afer-sex interventions can reduce HIV sexual risk behaviors, but safer-sex interventions may be espec

128 udies which include assessment of reports of risk behavior by each member of a couple than studies of

129 on exposure to infection; and an increase in risk behaviors by those vaccinated.

130 ated a network-based model to understand how risk behavior change in conjunction with failure of prop

131 ther individual in an interaction to exhibit risk behavior change whereas in two-sided situations (e.

132 th individuals in the interaction to exhibit risk behavior change, for a potential transmission of th

133 s the distinction between one- and two-sided risk behavior change.

134 Risk behaviors co-occurred within individuals at specifi

135 Stabilization of high-risk behavior combined with increased treatment uptake a

136 Additional efforts to halve high-risk behavior could reduce infections by 65%.

137 omputer-assisted questionnaires to ascertain risk behavior data for both tuberculosis and HIV.

138 ected for anonymous HCV antibody testing and risk behavior data were obtained through a self-administ

139 of potentially confounding demographics and risk behaviors, data from both surveys indicate that phy

140 nt, drug use, drug-related problems, and HIV risk behaviors decreased significantly for patients assi

141 Most sexual risk behaviors decreased significantly more among partic

142 An assessment of the interplay between risk behavior, depression, adherence, and asthma can add

143 g percentage of all HIV cases with husbands' risk behavior described as the major source of women's i

144 who have sex with men are effective if high-risk behavior does not increase as it has during the las

145 rain processing can lead to life-threatening risk behaviors (e.g., addiction) and emotion imbalance (

146 echnologic modalities that screen for health-risk behaviors, educate patients about chronic diseases,

147 for 1999, OR, 3.7; 95% CI, 2.2-6.5]), sexual risk behaviors (eg, first intercourse before age 15 year

148 Secondary objectives were to describe the risk behavior environment and the HIV epidemic potential

149 bidity is well-documented in psychiatric and risk behavior epidemiology.

150 iving HAART did not exhibit increased sexual risk behavior, even when therapy achieved an undetectabl

151 ctivation markers, neither stress nor health-risk behaviors explained the observed group differences.

152 ncome groups, physician discussion of health risk behaviors fell far short of the universal risk asse

153 ositive reinforcement learning predicts high-risk behavior following CSA.

154 SM report significantly reduced transmission risk behavior following HIV diagnosis.

155 xperienced significant improvement in health risk behaviors following the death of their spouse (1.47

156 toms of acute viral infection following high-risk behavior for human immunodeficiency virus type 1 tr

157 hanges in screening for cervical cancer, and risk behaviors for acquiring HPV.

158 The most common risk behaviors for children were playing and tending ani

159 Among adolescents, risk behaviors for chronic disease are common and invers

160 alveolar bone loss in individuals with high-risk behaviors for HIV infection.

161 n between alcohol and other drug use and HIV risk behaviors for South African men and women, and the

162 In conclusion, increased odds of high-risk behaviors for tuberculosis and HIV infection among

163 e is necessary for mitigating the effects of risk behavior; for two-sided interactions, it is essenti

164 have sex with men is associated with sexual risk behavior further research should be performed to re

165 The local context for risk behaviors has important implications for the dynami

166 eports associating substance use with sexual risk behavior have generally used summary measures and h

167 designed to encourage people to change high-risk behavior have not been very successful.

168 Surveys of risk behaviors have been hobbled by their reliance on re

169 ion (STI)/human immunodeficiency virus (HIV) risk behaviors; however, few have demonstrated long-term

170 rsus (2) a high concomitant burden of health risk behaviors (HRBs) is unclear.

171 ff solution in the lens case were modifiable risk behaviors identified in RGP wearers who wore lenses

172 barriers; knowledge, beliefs, and attitudes; risk behavior; impact on quality of life; and demographi

173 le method for collecting self-reports of HIV risk behavior in longitudinal studies and clinical trial

174 han STI-negative participants to underreport risk behavior in the face-to-face interview.

175 ach and avoidance may be expressed as sexual risk behavior in young adults.

176 n asthma in 6, safety behaviors in 3, sexual risk behaviors in 2, and diabetes mellitus in 1.

177 dhood psychosocial adversities and adult CVD risk behaviors in 2008 to 2009.

178 bacco histories more consistently than other risk behaviors in a 2-week period, opposite their tenden

179 a can be used effectively to decrease sexual risk behaviors in adolescents and young adults, especial

180 g has a protective effect on many adolescent risk behaviors in both middle-class populations and poor

181 though most transplant centers evaluated HIV risk behaviors in living donors, evaluation practices va

182 Although reducing the prevalence of health risk behaviors in low-income populations is an important

183 e of underlying chronic conditions or health risk behaviors in most deaths.

184 rning the link between substance use and HIV risk behaviors in South Africa and suggest the need for

185 the need for interventions focused on sexual risk behaviors in the context of substance use and the e

186 e then simulated increases in various sexual risk behaviors in the intervention group and estimated t

187 survey system tracking health conditions and risk behaviors in the United States.

188 t screening for CVD risk and reducing health risk behaviors in trauma-exposed women may be promising

189 inges that someone else had used" (injection risk behavior) in the past 90 days.

190 Low-risk behavior included 5 factors: a healthy diet (top qu

191 eds (SHCN) are uniquely vulnerable to health risk behaviors including smoking, alcohol and illicit dr

192 e 50, the great majority had engaged in high-risk behaviors, including sharing needles (66%) and usin

193 Risk behaviors, including tobacco, alcohol, and drug use

194 health risk behaviors, and as the number of risk behaviors increase, depression comorbidity emerges.

195 Our modeling shows, if risk behavior increases, that it is a valid concern that

196 Though HIV and HCV share common transmission risk behaviors, independent correlates with viral infect

197 ransmitted infections suggest high levels of risk behavior indicative of the potential for more and l

198 supporting direct depressogenic or suicidal risk behavior-inducing effects.

199 k for HIV infection, but they often evaluate risk behaviors ineffectively.

200 o 2015 with a disclosed history of increased risk behavior (IRB) including intravenous drug use (IVDU

201 Frequently lost in discussions of risk and risk behaviors is an appreciation of the strengths very

202 ation-is thought to encourage crime and high-risk behaviors, leading to poor mental and physical heal

203 A decrease in high-risk behavior led to a rapid decline in HCV incidence, i

204 the first studies to demonstrate that these risk behaviors may be critical targets for prevention of

205 on of HCV, but other factors, including high-risk behaviors, may be the main drivers for HCV transmis

206 cortex-which has been shown to be linked to risk behavior-may lead to increased and subjectively unn

207 tedness were protective against every health risk behavior measure except history of pregnancy.

208 tigations using valid behavioral measures of risk behavior, mood disorder, and adherence; recruitment

209 an number of reported instances of injection risk behavior (needle sharing) in the past 90 days was 5

210 c stress, in which aberrant choices and high-risk behaviors occur.

211 rd of the participants endorsed the violence risk behavior of carrying a weapon.

212 h active ICD symptoms, but it did not affect risk behavior of PD controls.

213 Based on the reported risk behavior of the IDUs and the HIV-1 incidence in uni

214 his intervention successfully reduced sexual risk behaviors of homeless men with mental illness.

215 ession was associated with further increased risk behaviors of smoking/drinking alcohol among those s

216 jury trends, injury types, demographics, and risk behaviors of those injured and explosive types rela

217 sociation was seen among vaccinees with high-risk behaviors or among placebo recipients in either ris

218 ors, such as their likelihood of engaging in risk behaviors or contracting a disease.

219 difference may reflect differences in sexual risk behaviors or differences in rates of exposure to no

220 the relationship between depression and HIV risk behaviors or sexually transmitted disease (STD) dia

221 or (2) the prevalence of injecting or sexual risk behaviors, or HIV knowledge among PWID; or (3) the

222 tion, flexible sexual mixing, and changes in risk behavior over the epidemic.

223 were associated with lower levels of health risk behaviors; parental disapproval of early sexual deb

224 udy's inclusion criteria for documented high-risk behaviors participated in a nested substudy of the

225 ta about demographic characteristics, health risk behavior participation, child self-esteem, child pu

226 ay provide adolescents with skills to change risk behavior patterns.

227 cern differences in the prevalence of health risk behaviors, physician discussion of these behaviors,

228 stance use, unhealthy weight control, sexual risk behavior, pregnancy, and suicidality.

229 three sets of variables were evaluated: high-risk behavior questions, demographic variables, and HIV

230 , we have hypothesized that increased sexual risk behavior reflects, in part, an imbalance between ne

231 HIV infection persist, suggesting that these risk behaviors remain important avenues for public healt

232 stable high seroprevalence in New York City, risk behaviors remained common, and networks were far fr

233 If risk behavior remains stable, the increase occurs becaus

234 However, if risk behavior remains stable, we find the concern is unf

235 d with HIV infection as identified by health risk behavior screening questionnaire.

236 nts participated in an average of 3.7 health-risk behaviors (SD=2.0), primarily those that lead to un

237 rgeting psychological functioning and health risk behaviors seem warranted.

238 ount for differential exposure propensities, risk behavior self-reported during semiannual visits was

239 Hazard ratios adjusted for study site and risk behaviors (sexual activity or injection drug use) w

240 ncerning demographics, abuse history, sexual risk behavior, sexual health and physical exams were obt

241 tem questionnaire assessing subjects' health risk behaviors, sexual beliefs, sexual risk behaviors, a

242 Without dramatic reductions in injection risk behaviors, shattering of cohesive injection network

243 cian counseling of patients regarding health risk behaviors should be greatly improved if the US Prev

244 tions and reducing both sexual and injection-risk behaviors simultaneously may curb the growing HIV e

245 being diagnosed with lung cancer and health risk behaviors (smoking, insufficient physical activity)

246 d that without behavioral interventions high-risk behavior spread further according to the trends obs

247 s may need to consider other factors besides risk behaviors such as HIV incidence and prevalence in s

248 of the sexual context is associated with HIV risk behaviors, such as having unprotected sex and multi

249 This study used state-level Youth Risk Behavior Surveillance System (YRBSS) data from Janu

250 Brief assessments are included in the Youth Risk Behavior Surveillance System for adolescents, which

251 nked to individual-level data from the Youth Risk Behavior Surveillance System on experiencing bullyi

252 om 25 states participating in the 2011 Youth Risk Behavior Surveillance System study (September 2010-

253 author used test-retest data from the Youth Risk Behavior Survey (United States, 2000) to compare ad

254 al Household Survey of Drug Abuse, the Youth Risk Behavior Survey (YRBS), the Behavior Risk Factor Su

255 The Youth Risk Behavior Survey comprises data of representative sa

256 ease Control and Prevention's national Youth Risk Behavior Survey has provided often-cited estimates

257 Compared with other Youth Risk Behavior Survey topics, most sex, drug, alcohol, an

258 ysis using data from the 2013 national Youth Risk Behavior Survey, a nationally representative sample

259 he 2009, 2011, 2013, and 2015 national Youth Risk Behavior Survey.

260 hool students, using the 2013 national Youth Risk Behavior Survey.

261 ted in the 1997 and 1999 Massachusetts Youth Risk Behavior Surveys (n = 1977 and 2186, respectively).

262 d data from the 2009 and 2011 national Youth Risk Behavior Surveys, which used nationally representat

263 Risk behaviors, symptoms, and virologic characteristics

264 d by childhood socioeconomic status (SES) or risk behaviors that are associated with ACEs.

265 urveys of human immunodeficiency virus (HIV) risk behaviors that involve a single assessment.

266 e of starvation, animals will engage in high-risk behaviors that would normally be considered maladap

267 re predicated on the need to reduce personal risk behaviors; that approach may not adequately reflect

268 Adjusted for risk behaviors, the estimated relative risk of superinfe

269 reliability questionnaires pertaining to HIV risk behaviors, the latter at approximately 2 weeks afte

270 influence their behavior, and engage in high-risk behaviors themselves.

271 main threats to adolescents' health are the risk behaviors they choose.

272 How genes support this addictive and high-risk behavior through their expression in the brain rema

273 rents can protect youth from engaging in HIV risk behaviors through supervision, providing support, a

274 incarceration and release from prison on HIV risk behavior, to identify optimal treatment programs fo

275 Four risk behavior variables were significantly associated wi

276 Reporting of STI risk behavior was consistently higher with the computeri

277 The study was retrospective, and sexual risk behavior was not assessed.

278 Sexual risk behavior was the primary outcome.

279 Longitudinal assessment of risk behaviors was limited to a maximum of 12 months.

280 Factors predictive of unintentional injury risk behavior were self-esteem, pubertal development, pa

281 5% confidence intervals [CIs]) of deferrable risk behaviors were 1.4 (95% CI, 1.2-1.6) times higher f

282 EVD risk behaviors were associated with intensity of depress

283 No risk behaviors were associated with ocular syphilis.

284 When health risk behaviors were considered, the risk of dying was st

285 eduction behaviors) and their current sexual risk behaviors were examined.

286 g traditional stroke risk factors and health risk behaviors were identified among acute ischemic stro

287 aying and tending animals; for adults, these risk behaviors were military activity and activities of

288 All health-risk behaviors were most prevalent among students who ex

289 Women's personal sexual risk behaviors were not associated with HIV infection.

290 ug use and half of whom reported only sexual risk behaviors, were recruited in four US cities.

291 ied blood spots; and (3) examine patterns of risk behavior when young MSM were provided with a behavi

292 These challenges include risk behaviors, which jeopardize current and future heal

293 eficiency virus type 1 (HIV-1), through high-risk behavior, while participating in clinical trials of

294 We studied 120 adolescents infected via high-risk behaviors who began receiving highly active antiret

295 Helping people change high-risk behavior will be the key to prevention.

296 was successful in decreasing HIV/STI sexual risk behavior with clients among FSWs in Tijuana and Ciu

297 rtners and consequently engaged in injection risk behavior with more infected partners.

298 Associations of HIV risk behaviors with depression persisted after adjustmen

299 r examines the reporting of sexual and other risk behaviors within a randomized experiment using a co

300 report curiosity and participation in health-risk behaviors, yet most studies focus upon adolescent s