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1 t their understanding of, and engagement in, health risk behaviors.
2 ely - and perhaps more likely - to engage in health risk behaviors.
3             Instead, they show reductions in health risk behaviors.
4 nce are more likely to exhibit other serious health risk behaviors.
5  have important adverse spillover effects on health risk behaviors.
6 tality as a result of a higher prevalence of health risk behaviors.
7 ventions related to professional factors and health risk behaviors.
8 alyses assessed associations between TDV and health-risk behaviors.
9  among high school students with and without health-risk behaviors.
10                                  Twenty-four health-risk behaviors across five categories (e.g., viol
11  recommends that physicians assess patients' health risk behaviors, addressing those needing modifica
12 d is largely due to the higher prevalence of health risk behaviors among those with lower levels of e
13  between college affirmative action bans and health risk behaviors among underrepresented minority (B
14  are useful in determining associations with health-risk behaviors among youth exposed to these diffe
15                Smoking is a severe addictive health risk behavior and notorious for the high likeliho
16 ced ACEs are at increased risk of developing health risk behaviors and, ultimately, cardiovascular di
17 ational interviewing as a method to decrease health-risk behaviors and increase adherence to treatmen
18 Experiences (ACEs) have been associated with health-risk behaviors and several chronic diseases in ad
19  behavior are likely to engage in additional health risk behaviors, and as the number of risk behavio
20 ct employees' social determinants of health, health risk behaviors, and chronic conditions.
21 onal choices, work performance, delinquency, health risk behaviors, and income).
22  psychological mechanism of how individuals' health risk behaviors are generalized across different p
23 very science by revealing digital markers of health/risk behavior as well as translational science by
24  Multivariate logistic regression identified health-risk behaviors associated with suicidal thoughts
25 ctory group reported greater burden and more health risk behaviors at all time points; patients tende
26 rimary information source about adolescents' health risk behaviors, but adolescents may not report th
27 ndary to alterations in the stress system or health-risk behaviors, but rather a primary effect of ea
28 ty of technologic modalities that screen for health-risk behaviors, educate patients about chronic di
29 eased activation markers, neither stress nor health-risk behaviors explained the observed group diffe
30 g all income groups, physician discussion of health risk behaviors fell far short of the universal ri
31 group experienced significant improvement in health risk behaviors following the death of their spous
32                                              Health risk behaviors had a direct effect on depression
33  health outcomes and conditions, prevention, health risk behaviors, health-related social needs, and
34 tion versus (2) a high concomitant burden of health risk behaviors (HRBs) is unclear.
35          Although reducing the prevalence of health risk behaviors in low-income populations is an im
36 presence of underlying chronic conditions or health risk behaviors in most deaths.
37 est that screening for CVD risk and reducing health risk behaviors in trauma-exposed women may be pro
38 care needs (SHCN) are uniquely vulnerable to health risk behaviors including smoking, alcohol and ill
39   In this study, we found evidence that some health risk behaviors increased among underrepresented m
40  connectedness were protective against every health risk behavior measure except history of pregnancy
41 nities (postsecondary education and income), health risk behaviors (moderate to heavy drinking and sm
42  bias due to the self-reported nature of the health risk behavior outcomes.
43 evement were associated with lower levels of health risk behaviors; parental disapproval of early sex
44 ided data about demographic characteristics, health risk behavior participation, child self-esteem, c
45 path coefficient 0.21) and indirect (through health risk behaviors (path coefficient = 0.09) effect o
46 th coefficient = 0.38) and indirect (through health risk behaviors, path coefficient = 0.19) effect o
47  to discern differences in the prevalence of health risk behaviors, physician discussion of these beh
48 sociated with HIV infection as identified by health risk behavior screening questionnaire.
49 dolescents participated in an average of 3.7 health-risk behaviors (SD=2.0), primarily those that lea
50 ions targeting psychological functioning and health risk behaviors seem warranted.
51 An 11-item questionnaire assessing subjects' health risk behaviors, sexual beliefs, sexual risk behav
52   Physician counseling of patients regarding health risk behaviors should be greatly improved if the
53 Time 2, being diagnosed with lung cancer and health risk behaviors (smoking, insufficient physical ac
54 ographics, prestroke function and cognition, health-risk behaviors, stroke severity, and vascular ris
55 tential utility in predicting and preventing health-risk behaviors-such as alcohol use-that are typic
56                                         When health risk behaviors were considered, the risk of dying
57 existing traditional stroke risk factors and health risk behaviors were identified among acute ischem
58 and attempts among students with and without health-risk behaviors were also estimated.
59                                          All health-risk behaviors were most prevalent among students
60 rs old report curiosity and participation in health-risk behaviors, yet most studies focus upon adole