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1.
J Biomed Inform ; 56: 379-86, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26173038

ABSTRACT

Youth are prolific users of cell phone minutes and text messaging. Numerous programs using short message service text messaging (SMS) have been employed to help improve health behaviors and health outcomes. However, we lack information on whether and what type of interaction or engagement with SMS program content is required to realize any benefit. We explored youth engagement with an automated SMS program designed to supplement a 25-session youth development program with demonstrated efficacy for reductions in teen pregnancy. Using two years of program data, we report on youth participation in design of message content and response frequency to messages among youth enrolled in the intervention arm of a randomized controlled trial (RCT) as one indicator of engagement. There were 221 youth between the ages of 14-18 enrolled over two years in the intervention arm of the RCT. Just over half (51%) were female; 56% were Hispanic; and 27% African American. Youth were sent 40,006 messages of which 16,501 were considered bi-directional where youth were asked to text a response. Four-fifths (82%) responded at least once to a text. We found variations in response frequency by gender, age, and ethnicity. The most popular types of messages youth responded to include questions and quizzes. The first two months of the program in each year had the highest response frequency. An important next step is to assess whether higher response to SMS results in greater efficacy. This future work can facilitate greater attention to message design and content to ensure messages are engaging for the intended audience.


Subject(s)
Health Promotion/methods , Patient Participation , Pregnancy in Adolescence/prevention & control , Program Evaluation/methods , Text Messaging , Adolescent , Automation , Cell Phone , Data Collection , Female , Health Behavior , Hispanic or Latino , Humans , Male , Pregnancy , Program Development , Randomized Controlled Trials as Topic , Sexual Behavior
2.
Eur Neuropsychopharmacol ; 21(9): 691-9, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21458959

ABSTRACT

Antidepressants are an effective treatment for depressive and anxiety disorders. Those disorders are frequently accompanied by heightened cortisol levels. Antidepressants may affect hypothalamic-pituitary-adrenal axis functioning, the alteration of which could be partially responsible for treatment efficacy. The association between antidepressants and cortisol was investigated in 1526 subjects of the Netherlands Study of Depression and Anxiety who were grouped into 'serotonin reuptake inhibitor (SSRI) users' (n=309), 'tricyclic antidepressant (TCA) users' (n=49), 'other antidepressant users' (n=100), and 'non-users' (n=1068). All subjects had a current or past diagnosis of anxiety and/or depression. Subjects provided 7 saliva samples from which 3 cortisol indicators were calculated: cortisol awakening response (CAR), evening cortisol, and cortisol suppression after ingestion of 0.5mg dexamethasone. As compared to non-users, TCA users had a flattened CAR (effect size: Cohen's d=0.34); SSRI users had higher evening cortisol levels (d=0.04); and SSRI users showed decreased cortisol suppression after dexamethasone ingestion (d=0.03). These findings suggest that antidepressant subtypes are associated with distinct alterations of the HPA axis. TCA users, who showed a flattened CAR, displayed the strongest alterations of salivary cortisol.


Subject(s)
Antidepressive Agents/therapeutic use , Anxiety Disorders/drug therapy , Depressive Disorder/drug therapy , Hydrocortisone/analysis , Pituitary-Adrenal System/metabolism , Saliva/chemistry , Adult , Antidepressive Agents/classification , Anxiety Disorders/physiopathology , Cohort Studies , Depression , Depressive Disorder/physiopathology , Dexamethasone/pharmacology , Female , Glucocorticoids/pharmacology , Humans , Hypothalamo-Hypophyseal System , Longitudinal Studies , Male , Netherlands , Psychiatric Status Rating Scales , Time Factors
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