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1 us were associated with these changes in HIV risk behaviour.
2 ith HIV despite significantly lower rates of risk behaviour.
3 ased treatments are available to reduce this risk behaviour.
4 e used to infer changes in HIV-incidence and risk behaviour.
5 couples was associated with increased sexual risk behaviour.
6 selling and testing did not adversely affect risk behaviour.
7 y for HIV prevention caused increased sexual risk behaviour.
8 eduction programmes concentrate on injection-risk behaviour.
9 substantially more complete reporting of HIV risk behaviour.
10 s, brought about population-level changes in risk behaviour.
11 ex relationship between risk perceptions and risk behaviours.
12  by site, sex, age, and the number of SACS-R risk behaviours.
13 n reduce the risk of death from overdose and risk behaviours.
14  No significant effects were shown for other risk behaviours.
15 rs can reduce HIV incidence through reducing risk behaviours.
16 of amphetamine-group substance use or sexual risk behaviours.
17  prevention of relapse, and reduction of HIV risk behaviours.
18  husbands of the married women to study male risk behaviours.
19 ircumcision could simply be a marker for low-risk behaviours.
20 r capita (US$1000), and sexual and injecting risk behaviours.
21 of the impact of prevention interventions on risk behaviours.
22 ntage of PWID reporting sexual and injecting risk behaviours.
23 , and anti-social, sexual risk, and multiple risk behaviours.
24 ry outcomes, the intervention reduced autism-risk behaviours (0.50, CI -0.15 to 1.08), increased pare
25 ur (1.73 (1.44 to 2.06); n=54 993), multiple risk behaviours (1.75 (1.30 to 2.35); n=43 571), and gam
26  use (1.85, 1.49 to 2.30; n=424 326), sexual risk behaviours (1.77 (1.48 to 2.12); n=47 280), anti-so
27 or HIV after adjustment for women's own high-risk behaviours, although these are known to be associat
28  a method of reducing under-reporting of HIV risk behaviour among injecting drug users.
29 PV, and various health conditions and sexual risk behaviours among MSM.
30     HCV prevalence, estimated incidence, and risk behaviours among people who inject drugs in Kenya v
31        Factors most strongly associated with risk behaviour and adverse outcomes have considerable po
32  a powerful way to understand changes in HIV risk behaviour and risk of HIV acquisition.
33                               HIV diagnosis, risk behaviour and self-reported STIs were compared amon
34                     We aimed to describe HIV risk behaviour and to understand patterns in PrEP adhere
35 were identified between injecting and sexual risk behaviours and age of PWID.
36 methadone upon incarceration on individuals' risk behaviours and engagement with post-release treatme
37 ipants were interviewed regarding parenteral risk behaviours and exposure to services received at the
38 rch examining the effect of interventions on risk behaviours and mortality during incarceration and a
39 rovision are effective in reducing injecting risk behaviours and needle and syringe sharing.
40                More respondents reported HIV risk behaviours and other sensitive behaviours in audio-
41 ave the potential to overcome drivers of HIV risk behaviours and usage of HIV services, but their ove
42  incidence, increase HIV testing, reduce HIV risk behaviour, and change social and behavioural norms.
43 Africa, and high rates of HIV infection, HIV risk behaviour, and evidence of behavioural links betwee
44 mpared prevalence of sexual health outcomes, risk behaviour, and HIV prevention and care service upta
45 , we compared how well sociodemographic, HIV risk behaviour, and life-course events were associated w
46 h states (divided into sociodemographic, HIV risk behaviour, and life-course events) were most strong
47 s depends on whether treated patients change risk behaviour, and on treatment coverage: higher covera
48 led in a cohort study compares demographics, risk behaviour, and sexually transmitted infections (STI
49 RT) on viraemia and immune responses, sexual risk behaviour, and the effect of the socioeconomic inte
50  and subsequent disease progression, altered risk behaviours, and an increased prevalence of HIV.
51                  We examined HIV prevalence, risk behaviours, and cascade of care among MSM in Iran.
52 amine trends in prevalence of HIV infection, risk behaviours, and intervention coverage.
53                             High HIV burden, risk behaviours, and low use of combination HIV preventi
54    Adjusted for individual socioeconomic and risk behaviours, and relative to the highest GDP per cap
55 al attention for changing drug use patterns, risk behaviours, and susceptible subgroups (eg, PWID exp
56 iations with sexual health-related outcomes, risk behaviours, and uptake of HIV prevention and care i
57 evelop monitoring systems for HIV incidence, risk behaviours, and uptake of interventions to ensure e
58 with those who maintained low-risk or medium-risk behaviour as a time-varying covariate, and the inte
59 astern Zimbabwe, on sociodemographic and HIV risk behaviours, as well as HIV serostatus from the firs
60 to show a clinically meaningful reduction in risk behaviour associated with commanding voices.
61  and the estimated incidence, genotypes, and risk behaviours associated with HCV among people who inj
62 e demographic characteristics, drug use, and risk behaviours associated with participants' uptake of
63                               Differences in risk behaviour at baseline or during the study, or annua
64 ut 9187 (58.2%) participants reported higher-risk behaviour at least once during the study.
65 ung people and rates of injecting and sexual risk behaviours at the country level.
66 atios for the difference in reporting of HIV risk behaviours between interview methods.
67  This change is unlikely to be due to sexual risk behaviours, but might be attributable to hormonal c
68                           We compared sexual risk behaviour by counselling strategy with a 6.5% non-i
69 -limited and the need for PrEP fluctuates as risk behaviours change.
70 n have a higher burden of HIV and associated risk behaviours compared with cisgender MSM in the same
71                  We first visualised how HIV risk behaviours, comprised of having multiple, concurren
72 ocio-economic status protecting against some risk behaviours (condomless sex, early sexual debut, and
73  spent, frequency of use, exposure to health risk behaviour content, or other social media activities
74  sharing common individual socioeconomic and risk behaviour correlates.
75                          Population-level of risk behaviour decreased significantly in the interventi
76 ated the association between demographic and risk behaviour during screening and subsequent seroconve
77 ctional sex in females) but increasing other risk behaviours (e.g., male engagement in casual and com
78 mographic characteristics, drug use, and HIV risk behaviours for 30 days preceding the interview.
79 ting the odds of health conditions or sexual risk behaviours for MSM experiencing or perpetrating IPV
80 mia (12% [12/98]), even after accounting for risk behaviour (hazard ratio, 0.45; 95% CI 0.23-0.88).
81                  We aimed to describe sexual risk behaviours, HIV prevalence, and access to HIV servi
82                                       Sexual risk behaviours, HIV prevalence, and HIV services uptake
83  needs on how to question men about specific risk behaviours, improved strategies for negotiating ris
84 athway of the intervention, that of changing risk behaviours in female sex workers and high-risk men
85 ce, male dominance in relationships, and HIV risk behaviours in men, as well as effective interventio
86 ciations between social media and all health risk behaviours in most included studies, except inadequ
87  media use is associated with adverse health risk behaviours in young people, but further high qualit
88  Sexual Relationship Power Scale (SRPS), and risk behaviours including multiple, concurrent, and casu
89  and current relationship status and women's risk behaviour, intimate partner violence (odds ratio 1.
90 s of behaviour change to peers, decreases in risk behaviour may be possible.
91 ary endpoints included differences in sexual risk behaviour measures at 36 months and were assessed u
92 c individual and dyadic-level prevention and risk behaviours, network attributes, and care patterns.
93 y used to study mental health conditions and risk behaviours on a large scale.
94        Exposure to content showcasing health risk behaviours on social media (v no exposure) was asso
95  acquisitions were identified than using HIV risk behaviours or sociodemographic information, respect
96 fferent population groups according to their risk behaviours or their location.
97 se, recidivism outcomes, sexual or injecting risk behaviours, or mortality among people who use psych
98 reased, there was little evidence of reduced risk behaviour over time.
99  of heroin abstinence, and reductions in HIV risk behaviours over 6 months.
100 ver, young people and those reporting sexual risk behaviours reported difficulties in accessing servi
101 nsers in intervention-city bars corroborated risk-behaviour self-reports.
102 graphic location, "key populations" based on risk behaviours (sex work, injecting drug use, and male-
103  proportion of participants reporting sexual risk behaviours, SRH service use and unmet need, and to
104 model, and we calculated the PAF and NNT for risk behaviour subgroups.
105 e first 12-18 months, and similar effects on risk behaviours suggest that prevention of HIV infection
106 ns need to consider the links between sexual risk behaviour, testing, and potential PrEP use.
107 more strongly associated with changes in HIV risk behaviour than models using only sociodemographic v
108 creases in HIV testing and reductions in HIV risk behaviour, to recommend the Project Accept approach
109 of the nucleus accumbens dynamically altered risk behaviour, transiently shifting the psychometric fu
110                         Injecting and sexual risk behaviour varied considerably geographically, as di
111 -treat population (16,395 participants), HIV risk behaviour was assessed with a self-administered que
112                  No overall effect on sexual risk behaviour was recorded.
113 ssing race-specific reporting differences in risk behaviour was the only one to yield a prevalence in
114                                              Risk-behaviour was assessed by standardized questionnair
115      Participant demographics, drug use, and risk behaviours were assessed at baseline and every 3 mo
116                                       Health risk behaviours were defined as use of alcohol, drugs, t
117                                Self-reported risk behaviours were significantly higher in men than in
118                                          HIV risk behaviours were significantly reduced from baseline
119  it is associated with reducing drug and sex risk behaviours, which were primary aims.
120  people who most frequently engage in sexual risk behaviour while travelling abroad would be useful f

 
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