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Olavi Lindfors - One of the best experts on this subject based on the ideXlab platform.
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prediction of the outcome of short and long term psychotherapy based on socio Demographic Factors
Journal of Affective Disorders, 2012Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Abstract Background Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20–46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Results Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. Limitations We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Conclusions Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy.
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Prediction of the outcome of short- and long-term psychotherapy based on socio-Demographic Factors.
Journal of affective disorders, 2012Co-Authors: K Joutsenniemi, Maarit A Laaksonen, Peija Haaramo, Paul Knekt, Olavi LindforsAbstract:Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20-46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy. Copyright © 2012. Published by Elsevier B.V.
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p03 52 prediction of Demographic Factors on the outcome of short and long term psychotherapy
European Psychiatry, 2009Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Background Demographic Factors have been shown to predict the outcome of short-term psychotherapy in the treatment of depressive and anxiety disorders. So far, however, information on the prediction for long- term therapy is missing. To be able to choose an optimal psychotherapy length for the patient, it is essential to know, which Demographic Factors predict different outcome in short- and long-term therapy. Aim To compare the prediction of Demographic Factors on changes in psychiatric symptoms in short- and long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 psychiatric outpatients, aged 20-46 years, and suffering from depressive or anxiety disorders, were randomly assigned to short-term therapy (short-term psychodynamic psychotherapy or solution-focused therapy combined) or long-term psychodynamic psychotherapy. The Demographic Factors (i.e. age, gender, education, income, and living arrangement) were assessed at baseline by a questionnaire. Psychiatric symptoms were assessed with the Symptom Check List, Global Severity Index (SCL-90-GSI) at baseline and 7 times during a 3-year follow-up. Results Demographic Factors were found to predict symptom development during follow-up irrespective of baseline symptom level. Female gender, being aged 25 or more, living with a spouse/partner, high education, and medium level personal income predicted benefiting sufficiently from short-term therapy, whereas being aged under 25, medium education, and living with other(s) than a partner or child(ren) predicted the need of long-term therapy. Conclusions Demographic Factors may be a useful tool in the selection of patients for short- and long term therapy.
K Joutsenniemi - One of the best experts on this subject based on the ideXlab platform.
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prediction of the outcome of short and long term psychotherapy based on socio Demographic Factors
Journal of Affective Disorders, 2012Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Abstract Background Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20–46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Results Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. Limitations We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Conclusions Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy.
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Prediction of the outcome of short- and long-term psychotherapy based on socio-Demographic Factors.
Journal of affective disorders, 2012Co-Authors: K Joutsenniemi, Maarit A Laaksonen, Peija Haaramo, Paul Knekt, Olavi LindforsAbstract:Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20-46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy. Copyright © 2012. Published by Elsevier B.V.
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p03 52 prediction of Demographic Factors on the outcome of short and long term psychotherapy
European Psychiatry, 2009Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Background Demographic Factors have been shown to predict the outcome of short-term psychotherapy in the treatment of depressive and anxiety disorders. So far, however, information on the prediction for long- term therapy is missing. To be able to choose an optimal psychotherapy length for the patient, it is essential to know, which Demographic Factors predict different outcome in short- and long-term therapy. Aim To compare the prediction of Demographic Factors on changes in psychiatric symptoms in short- and long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 psychiatric outpatients, aged 20-46 years, and suffering from depressive or anxiety disorders, were randomly assigned to short-term therapy (short-term psychodynamic psychotherapy or solution-focused therapy combined) or long-term psychodynamic psychotherapy. The Demographic Factors (i.e. age, gender, education, income, and living arrangement) were assessed at baseline by a questionnaire. Psychiatric symptoms were assessed with the Symptom Check List, Global Severity Index (SCL-90-GSI) at baseline and 7 times during a 3-year follow-up. Results Demographic Factors were found to predict symptom development during follow-up irrespective of baseline symptom level. Female gender, being aged 25 or more, living with a spouse/partner, high education, and medium level personal income predicted benefiting sufficiently from short-term therapy, whereas being aged under 25, medium education, and living with other(s) than a partner or child(ren) predicted the need of long-term therapy. Conclusions Demographic Factors may be a useful tool in the selection of patients for short- and long term therapy.
Paul Knekt - One of the best experts on this subject based on the ideXlab platform.
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prediction of the outcome of short and long term psychotherapy based on socio Demographic Factors
Journal of Affective Disorders, 2012Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Abstract Background Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20–46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Results Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. Limitations We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Conclusions Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy.
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Prediction of the outcome of short- and long-term psychotherapy based on socio-Demographic Factors.
Journal of affective disorders, 2012Co-Authors: K Joutsenniemi, Maarit A Laaksonen, Peija Haaramo, Paul Knekt, Olavi LindforsAbstract:Socio-Demographic Factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-Demographic Factors across two treatment conditions, short- versus long-term psychotherapy. In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20-46 years, were randomly assigned to STT or LPP. Socio-Demographic Factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. Socio-Demographic Factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-Demographic Factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. Socio-Demographic Factors may need to be considered in the selection of patients for short- and long-term therapy. Copyright © 2012. Published by Elsevier B.V.
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p03 52 prediction of Demographic Factors on the outcome of short and long term psychotherapy
European Psychiatry, 2009Co-Authors: K Joutsenniemi, Olavi Lindfors, Maarit A Laaksonen, Peija Haaramo, Paul KnektAbstract:Background Demographic Factors have been shown to predict the outcome of short-term psychotherapy in the treatment of depressive and anxiety disorders. So far, however, information on the prediction for long- term therapy is missing. To be able to choose an optimal psychotherapy length for the patient, it is essential to know, which Demographic Factors predict different outcome in short- and long-term therapy. Aim To compare the prediction of Demographic Factors on changes in psychiatric symptoms in short- and long-term psychotherapy. Methods In the Helsinki Psychotherapy Study, 326 psychiatric outpatients, aged 20-46 years, and suffering from depressive or anxiety disorders, were randomly assigned to short-term therapy (short-term psychodynamic psychotherapy or solution-focused therapy combined) or long-term psychodynamic psychotherapy. The Demographic Factors (i.e. age, gender, education, income, and living arrangement) were assessed at baseline by a questionnaire. Psychiatric symptoms were assessed with the Symptom Check List, Global Severity Index (SCL-90-GSI) at baseline and 7 times during a 3-year follow-up. Results Demographic Factors were found to predict symptom development during follow-up irrespective of baseline symptom level. Female gender, being aged 25 or more, living with a spouse/partner, high education, and medium level personal income predicted benefiting sufficiently from short-term therapy, whereas being aged under 25, medium education, and living with other(s) than a partner or child(ren) predicted the need of long-term therapy. Conclusions Demographic Factors may be a useful tool in the selection of patients for short- and long term therapy.
J. Standop - One of the best experts on this subject based on the ideXlab platform.
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Postresection survival outcomes of pancreatic cancer according to Demographic Factors and socio-economic status
EJSO - European Journal of Surgical Oncology, 2010Co-Authors: Y. Kuhn, A. Koscielny, T. Glowka, A. Hirner, J.c. Kalff, J. StandopAbstract:Aim of the study was to evaluate the impact of Demographic Factors (DGF) and socio-economic status (SES) on survival after pancreatic cancer resection in a German setting.
Godwin Tindyebwa Muhangi - One of the best experts on this subject based on the ideXlab platform.
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Demographic Factors as Antecedents Towards Turnover Intentions Among Secondary School Teachers in Mbarara District
Journal of Education and Practice, 2019Co-Authors: Godwin Tindyebwa MuhangiAbstract:The study examined Demographic Factors as antecedents towards turnover intentions for secondary school teachers in Mbarara District. The study was conducted by collecting quantitative data from over 600 teachers in 64 secondary schools in Mbarara District. The data collected were analysed for variation of turnover intentions with Demographic Factors including age, gender, work experience, religious affiliation and teacher qualifications. Kruskal Wallis and t-tests were conducted to examine turnover intention scores with the Demographic Factors of teachers. Study results showed that Demographic Factors are actually antecedents of turnover intentions among secondary school teachers in Mbarara District. It is thus suggested that schools should plan to accommodate the different Demographic Factors of their staff to minimize turnover intentions among teachers. Additionally, schools should constructively manage professional growth and development of teachers without increasing turnover. Increasing job responsibility for teachers who attain better qualifications and performance-based incentives can equally reduce attrition and turnover intentions among secondary school teachers. Keywords: Demographic Factors, Turnover intentions, Teachers. DOI : 10.7176/JEP/10-20-11 Publication date :July 31 st 2019
