AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic...AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic data survey and an EMA Smartphone application over a oneweek period(five times each day),was developed to explore symptom profiles,everyday problems,coping strategies,and the contexts in which the events take place.RESULTS The positive response was 68.6%.Over 2250 prompts about mental states were recorded.In 53% of situations the smartphone was answered at home,25.5% of casesthey were with their parents or with peers(20.3%).Associations were found with attention,affective and anxiety problems(P < 0.001) in the participants who took longer to respond to the EMA app.Anxious and depressive states were highly interrelated(rho = 0.51,P < 0.001),as well as oppositional defiant problems and conduct problems(rho = 0.56,P < 0.001).Only in 6.2% of the situations the subjects perceived they had problems,mainly associated with inter-relational aspects with family,peers,boyfriends or girlfriends(31.2%).We also found moderate-high reliability on scales of satisfaction level on the context,on positive emotionality,and on the discomfort index associated with mental health problems.CONCLUSION EMA methodology using smartphones is a useful tool for understanding adolescents' daily dynamics.It achieved moderate-high reliability and accurately identified psychopathological manifestations experienced by community adolescents in their natural context.展开更多
The D'Alembert-Lagrange equation is introduced and used to derive theformulas of momentary efficiency for external gearing of standard involutes spur gears. The gearingswith correct and increased center distance a...The D'Alembert-Lagrange equation is introduced and used to derive theformulas of momentary efficiency for external gearing of standard involutes spur gears. The gearingswith correct and increased center distance are discussed. The momentary efficiency formula iscalculated and analyzed using software Matlab. The derived formula of momentary efficiency is alsocompared with the traditional formula.展开更多
Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories...Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories we tested if they predict smoking frequency up to six months later. Methods: EMA via mobile phones was used to collect real time data on smoking (yes/no) after an unassisted quit attempt over 29 days. Smoking frequency one, three and six months after the quit attempt was assessed with online questionnaires. Latent class growth modeling was used to analyze the data of 230 self-quitters. Results: Four different quitting trajectories emerged: quitter (43.9%), late quitter (11.3%), returner (17%) and persistent smoker (27.8%). The quitting trajectories predicted smoking frequency one, three and six months after the quit attempt (all p < 0.001). Conclusions: Outcome after a smoking cessation attempt is better described by four distinct trajectories instead of a binary variable for abstinence or relapse. In line with the relapse model by Marlatt and Gordon, late quitter may have learned how to cope with lapses during one month after the quitting attempt. This group would have been allocated to the relapse group in traditional outcome studies.展开更多
基金Supported by Spain’s Ministry of Economy and Competitiveness,No.PSI 2013-46392-Pthe Agency for the Management of University and Research Grants from the Government of Catalonia,No.2014SGR1139
文摘AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic data survey and an EMA Smartphone application over a oneweek period(five times each day),was developed to explore symptom profiles,everyday problems,coping strategies,and the contexts in which the events take place.RESULTS The positive response was 68.6%.Over 2250 prompts about mental states were recorded.In 53% of situations the smartphone was answered at home,25.5% of casesthey were with their parents or with peers(20.3%).Associations were found with attention,affective and anxiety problems(P < 0.001) in the participants who took longer to respond to the EMA app.Anxious and depressive states were highly interrelated(rho = 0.51,P < 0.001),as well as oppositional defiant problems and conduct problems(rho = 0.56,P < 0.001).Only in 6.2% of the situations the subjects perceived they had problems,mainly associated with inter-relational aspects with family,peers,boyfriends or girlfriends(31.2%).We also found moderate-high reliability on scales of satisfaction level on the context,on positive emotionality,and on the discomfort index associated with mental health problems.CONCLUSION EMA methodology using smartphones is a useful tool for understanding adolescents' daily dynamics.It achieved moderate-high reliability and accurately identified psychopathological manifestations experienced by community adolescents in their natural context.
文摘The D'Alembert-Lagrange equation is introduced and used to derive theformulas of momentary efficiency for external gearing of standard involutes spur gears. The gearingswith correct and increased center distance are discussed. The momentary efficiency formula iscalculated and analyzed using software Matlab. The derived formula of momentary efficiency is alsocompared with the traditional formula.
基金thank the Swiss National Science Founda-tion for funding this study(grant number SNF 100014_126648/1).
文摘Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories we tested if they predict smoking frequency up to six months later. Methods: EMA via mobile phones was used to collect real time data on smoking (yes/no) after an unassisted quit attempt over 29 days. Smoking frequency one, three and six months after the quit attempt was assessed with online questionnaires. Latent class growth modeling was used to analyze the data of 230 self-quitters. Results: Four different quitting trajectories emerged: quitter (43.9%), late quitter (11.3%), returner (17%) and persistent smoker (27.8%). The quitting trajectories predicted smoking frequency one, three and six months after the quit attempt (all p < 0.001). Conclusions: Outcome after a smoking cessation attempt is better described by four distinct trajectories instead of a binary variable for abstinence or relapse. In line with the relapse model by Marlatt and Gordon, late quitter may have learned how to cope with lapses during one month after the quitting attempt. This group would have been allocated to the relapse group in traditional outcome studies.
