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Objective: To test the efficacy of smartphone-assisted online brief cognitive behavioral therapy (b-CBT) to treat maternal depression compared to online brief CBT plus an active control app. Methods: A randomized controlled trial was conducted. Assessments were performed at baseline (T0), midpoint (T1, week 4-5), post-treatment (T2, week 8), and follow-up (T3, 2-month postnatal follow-up) by blinded interviewers. The primary outcome was depression measured by the Edinburgh Postnatal Depression Scale (EPDS) at T2. We also assessed anxiety, stress, sleep quality, well-being, physical activity, treatment response, and offspring child behavior problems. Results: Eighty-one participants were randomized to the intervention (n=37) or active control (n=44) groups. Seventy-one participants completed the post-treatment assessment or reported primary outcome data. No differences were found between the intervention and active control groups regarding maternal depression or other mental health outcomes. Overall, we found large within-group effect sizes, with 80% of the total sample responding to treatment. Conclusions: Our data showed no difference between the groups, suggesting that adding apps to psychotherapy treatment may not enhance treatment effects on prenatal depression. A within-groups analysis showed that most participants with depression responded to treatment; however, future studies are needed to confirm whether this effect is related to factors other than the intervention.

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OBJECTIVE: To test the efficacy of smartphone-assisted online brief cognitive behavioral therapy (b-CBT) to treat maternal depression compared to online brief CBT plus an active control app. METHODS: A randomized controlled trial was conducted. Assessments were performed at baseline (T0), midpoint (T1, week 4-5), post-treatment (T2, week 8), and follow-up (T3, 2-month postnatal follow-up) by blinded interviewers. The primary outcome was depression measured by the Edinburgh Postnatal Depression Scale (EPDS) at T2. We also assessed anxiety, stress, sleep quality, well-being, physical activity, treatment response, and offspring child behavior problems. RESULTS: Eighty-one participants were randomized to the intervention (n=37) or active control (n=44) groups. Seventy-one participants completed the post-treatment assessment or reported primary outcome data. No differences were found between the intervention and active control groups regarding maternal depression or other mental health outcomes. Overall, we found large within-group effect sizes, with 80% of the total sample responding to treatment. CONCLUSIONS: Our data showed no difference between the groups, suggesting that adding apps to psychotherapy treatment may not enhance treatment effects on prenatal depression. A within-groups analysis showed that most participants with depression responded to treatment; however, future studies are needed to confirm whether this effect is related to factors other than the intervention.

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Background. Bruxism is a topic of much controversy and is continually debated in the field of dentistry due to the multifaceted clinical relationship that results in painful conditions and consequences to patients. The aim of this review was to determine the effectiveness of a smartphones app in monitoring awake bruxism. Methods. PROSPERO (registration number: CRD42021271190). The eligibility criteria were as followed: observational studies, case-control   studies, studies that reported odds ratios, and studies on awake bruxism. The following keywords were searched: [smartphones apps] AND [apps] AND [awake bruxism], OR [sleep bruxism], OR [sleep hygiene], OR [parasomnias], AND [habits]. Results. All the authors agree that the use of the smartphone app allows controlled awake bruxism monitoring. The results also show that                                     the two bruxism are interactive, having negative synergism and substantially increasing the risks of temporomandibular joint pain and temporomandibular disorders. Discussion. In the AB it was possible to identify 70% symptoms through the different frequencies of behavior provided by the App, within the present technological tools have become daily in young and adult population. The app is effective and easy to use by patients, effectively limiting biases the time of evaluation.

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PREMISE OF THE STUDY: ColectoR was developed to aid botanists in the collection of data for voucher specimens using smartphones, accelerating the process of data capture in situ and its subsequent organization. METHODS AND RESULTS: ColectoR features a minimalist design that uses an intuitive iconic interface. The integration of external application programming interfaces (APIs) and an automated spreadsheet extends its functionality and increases the information and tools available to the user. This app is currently supported by any Android device. CONCLUSIONS: ColectoR provides an efficient method for capturing data in the field while also serving to organize the information into a coherent database, thereby greatly reducing the time required for postcapture data organization and label printing.

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Evidence supports the use of rhythmic external auditory signals to improve gait in PD patients (Arias & Cudeiro, 2008; Kenyon & Thaut, 2000; McIntosh, Rice & Thaut, 1994; McIntosh et al., 1997; Morris, Iansek, & Matyas, 1994; Thaut, McIntosh, & Rice, 1997; Suteerawattananon, Morris, Etnyre, Jankovic, & Protas , 2004; Willems, Nieuwboer, Chavert, & Desloovere, 2006). However, few prototypes are available for daily use, and to our knowledge, none utilize a smartphone application allowing individualized sounds and cadence. Therefore, we analyzed the effects on gait of Listenmee®, an intelligent glasses system with a portable auditory device, and present its smartphone application, the Listenmee app®, offering over 100 different sounds and an adjustable metronome to individualize the cueing rate as well as its smartwatch with accelerometer to detect magnitude and direction of the proper acceleration, track calorie count, sleep patterns, steps count and daily distances. The present study included patients with idiopathic PD presented gait disturbances including freezing. Auditory rhythmic cues were delivered through Listenmee®. Performance was analyzed in a motion and gait analysis laboratory. The results revealed significant improvements in gait performance over three major dependent variables: walking speed in 38.1%, cadence in 28.1% and stride length in 44.5%. Our findings suggest that auditory cueing through Listenmee® may significantly enhance gait performance. Further studies are needed to elucidate the potential role and maximize the benefits of these portable devices.

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