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result(s) for
"Azarbayejani, Ali"
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Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders
2017
There is a critical need for real-time tracking of behavioral indicators of mental disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and analyze behavioral indicators have not yet been clinically validated or scalable.
The aim of our study was to report on models of clinical symptoms for post-traumatic stress disorder (PTSD) and depression derived from a scalable mobile sensing platform.
A total of 73 participants (67% [49/73] male, 48% [35/73] non-Hispanic white, 33% [24/73] veteran status) who reported at least one symptom of PTSD or depression completed a 12-week field trial. Behavioral indicators were collected through the noninvasive mobile sensing platform on participants' mobile phones. Clinical symptoms were measured through validated clinical interviews with a licensed clinical social worker. A combination hypothesis and data-driven approach was used to derive key features for modeling symptoms, including the sum of outgoing calls, count of unique numbers texted, absolute distance traveled, dynamic variation of the voice, speaking rate, and voice quality. Participants also reported ease of use and data sharing concerns.
Behavioral indicators predicted clinically assessed symptoms of depression and PTSD (cross-validated area under the curve [AUC] for depressed mood=.74, fatigue=.56, interest in activities=.75, and social connectedness=.83). Participants reported comfort sharing individual data with physicians (Mean 3.08, SD 1.22), mental health providers (Mean 3.25, SD 1.39), and medical researchers (Mean 3.03, SD 1.36).
Behavioral indicators passively collected through a mobile sensing platform predicted symptoms of depression and PTSD. The use of mobile sensing platforms can provide clinically validated behavioral indicators in real time; however, further validation of these models and this platform in large clinical samples is needed.
Journal Article
Effect of endurance training with selenium on IL-17 and IL-18 in heart tissue in rats exposed to cadmium poisoning
by
Farsi, Sirus
,
Ahmadloo, Ahmad
,
ali Hosseini, Seyed
in
Air pollution
,
Cadmium
,
Cardiovascular disease
2019
TInterleukin-17 (IL-17) and interleukin-18 (IL18) are Proinflammatory cytokines. The main purpose of this study is analysis of the effect of endurance training, along with using selenium, on IL-17 and IL-18 in heart tissue of rats exposed to cadmium poisoning. in this empirical study, 30 Sprague Dawley male Rats were selected and placed randomly in 6 groups with 5 rats in each group: 1) control 2) sham 3) cadmium 4) selenium with cadmium 5) endurance training with cadmium and 6) endurance training with selenium and cadmium. During 8 weeks, the rats in groups 3, 4, 5 and 6 took 2mg/kg peritoneum cadmium daily. Groups 4 and 6 used 0.23mg/kg selenium daily and groups 5 and 6 done endurance practices 3 sessions per week. For analysis of the data, Kolmogorov-Smirnov test, independent t-test and two-way ANOVA were used (p<0.05). 8 weeks of endurance training and 8 weeks of using selenium could leave significant effect on reduction of IL-17 and IL-18 expression of rats poisoned by cadmium (p=0.001). Moreover, the interactive effect of endurance training and using selenium on reduction of IL-17 and IL_18 expression in rats poisoned by cadmium was significant (p=0.001). 8 weeks of using selenium with endurance training could improve proinflammatory cytokines in rats poisoned with cadmium.
Journal Article