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2018
DOI: 10.1016/j.jadohealth.2018.04.014
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Mental Health Disparities Among College Students of Color

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Cited by 315 publications
(173 citation statements)
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“…In Study B, we estimated ORs from unadjusted logistic regressions for suicidal ideation and suicide attempts with eating disorder symptoms (WCS, binge eating, purging) as the independent variable of interest. For suicidal ideation, we also estimated adjusted models controlling for the following covariates: (a) age (18-22, 23-25, 26-30 (Lipson, Kern, Eisenberg, & Breland-Noble, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…In Study B, we estimated ORs from unadjusted logistic regressions for suicidal ideation and suicide attempts with eating disorder symptoms (WCS, binge eating, purging) as the independent variable of interest. For suicidal ideation, we also estimated adjusted models controlling for the following covariates: (a) age (18-22, 23-25, 26-30 (Lipson, Kern, Eisenberg, & Breland-Noble, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…T h e p r e s e n t s t u d y m a y i n f o r m t h e d e s i g n a n d implementation of mHealth interventions on college campuses, as it demonstrated that racially diverse emerging adult college students have high smartphone ownership and usage rates, and unique preferences for text messages that may be implemented in new or via refinements to existing mHealth interventions. The pervasiveness of such ownership and use identified in the present study, for one, is particularly noteworthy in light of evidence that adults with racial and ethnic minority identities exhibit poorer physical and mental health and engage with healthcare services less frequently than their majority counterparts (10,11,43). As such, employing mobile technology to deliver health-related interventions to these populations may prove particularly advantageous in advancing the holistic health of minority groups in need of care.…”
Section: Clinical and Research Implicationsmentioning
confidence: 66%
“…This suggests smartphones are more commonly owned by college students than age-matched non-students and may serve as an advantageous outlet for delivering interventions to college students in particular. Considered alongside the low help-seeking rates for in-person treatment among college students (9)(10)(11), and that use of mobile technology can overcome common barriers to seeking in-person care, such as personal stigma and time constraints (3,4), employing mHealth treatments to augment this population's health may be worthwhile.…”
Section: Overall Mobile Phone Plan and Use Characteristicsmentioning
confidence: 99%
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