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1 es conspecific sex pheromone information for sexual behaviour.
2 h after enrolment to assess social harms and sexual behaviour.
3 orphology and an important influence on male sexual behaviour.
4 onomic factors, including schooling, and for sexual behaviour.
5 transmission rather than increases in risky sexual behaviour.
6 tors play a considerable role in influencing sexual behaviour.
7 ral cortex that may contribute to compulsive sexual behaviour.
8 wledge of HIV was associated with less risky sexual behaviour.
9 structural factors that contribute to risky sexual behaviour.
10 ffects of oral contraceptives and changes in sexual behaviour.
11 leads to the evolution of sophisticated male sexual behaviour.
12 in San Francisco is strongly associated with sexual behaviour.
13 ls that regulate mammalian communication and sexual behaviour.
14 ed new light on the genetic determination of sexual behaviour.
15 ermatogenesis and a loss of instinctual male sexual behaviour.
16 sex in the previous 3 months and with other sexual behaviours.
17 r across countries, age groups, and reported sexual behaviours.
18 the effect of cash transfers on these risky sexual behaviours.
19 mation while building skills for negotiating sexual behaviours.
22 ial and cultural forces shape young people's sexual behaviour and can help explain why information ca
24 ding progressive weight loss, alterations in sexual behaviour and disturbances in the wake-sleep cycl
27 dependent behaviours: the expression of male sexual behaviour and maternal aggression is substantiall
29 mation on socio-demographic characteristics, sexual behaviour and reported previous use of HCT servic
31 y unique opportunity to describe patterns of sexual behaviour and their implications for attempts to
32 gs that help in understanding young people's sexual behaviour and why they might have unsafe sex; pol
33 0) to investigate the frequency of high-risk sexual behaviours and adverse sexual health outcomes in
36 t role in HIV prevention by encouraging safe sexual behaviours and linking HIV-infected clients to an
37 socio-demographic characteristics, reported sexual behaviours and sexually transmitted infections (S
38 socio-demographic characteristics, reported sexual behaviours and with HIV and other STIs were estim
39 rEP (HR 0.51, 95% CI 0.26-1.01, adjusted for sexual behaviours), and 3.9 infections per 100 person-ye
40 anhood and maternal HIV status, (2) reported sexual behaviour, and (3) reporting recurring sickness o
41 disorder, binge eating disorder, compulsive sexual behaviour, and compulsive shopping occur in about
42 sen-Gill survival methods, adjusted for age, sexual behaviour, and plasma HIV RNA levels of the HIV-i
43 that pathogen infection can affect same-sex sexual behaviour, and suggest that the impact of such be
44 omic factors, substance use, depression, and sexual behaviours, and whether they explained ethnic var
46 in IVP were likely to reflect differences in sexual behaviour between populations, and may warrant di
47 transmitted infections associated with their sexual behaviour, but also because of internalisation of
51 al interventions that do not directly target sexual behaviour change can be important components of H
52 LSIL regression and HPV status at baseline, sexual behaviour, contraceptive use, substance or cigare
53 n this paper we present original analyses of sexual behaviour data from 59 countries for which they w
54 ing the idea that divergence in courtship or sexual behaviour drives rapid speciation in animals.
55 factors surrounding HIV prevention, such as sexual behaviour, drug use, and gender equalities, count
56 , parameterising it with the latest data for sexual behaviour (from National Survey of Sexual Attitud
58 SM population in England, parameterized with sexual behaviour, GUM attendance, HPV prevalence, HIV pr
59 ty to control for the confounding effects of sexual behaviour have exaggerated the apparent risk.
60 ual competition, as flies plastically adjust sexual behaviour in a manner consistent with kin-selecti
63 ified binary labelling and classification of sexual behaviour in dementia as appropriate or inappropr
66 We used data from a socio-centric study of sexual behaviour in Malawi to quantify the age-mixing pa
68 s genes, attenuates development and inhibits sexual behaviour in non-optimal food, the synthetic CeMM
69 mong young people aged 15-24 years, changing sexual behaviour in this group will be crucial in tackli
77 alcohol misuse (especially in girls), risky sexual behaviour, obesity, and criminal behaviour, which
79 oss of ESP22 production results in increased sexual behaviour of adult males towards juveniles, and s
82 eeded to address the broader determinants of sexual behaviour, particularly those that relate to the
84 gene, has been found to regulate Drosophila sexual behaviour, probably via its action in a small sub
87 s social desirability bias for self-reported sexual behaviour; STIs were diagnosed in some self-repor
89 at majority of cancers that are unrelated to sexual behaviour, there will be nothing even at the popu
90 -1 can relax diet-induced inhibition of male sexual behaviour, thus indicating that a single regulato
92 model to historical data for HIV prevalence, sexual behaviours, treatment scale-up, and demographics.
93 llected information on sociodemographics and sexual behaviours using questionnaires administered at e
95 ce that HIV-negative people with higher risk sexual behaviours were most likely to repeat test, which
96 s mainly social and economic determinants of sexual behaviour, which have implications for interventi
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