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1.
Health promot. int ; 23(3): 275-282, Sept. 2008. tab
Article in English | CidSaúde - Healthy cities | ID: cid-59710

ABSTRACT

Sedentary lifestyle, poor dietary behaviors and metabolic alterations associated with psychiatric medications contribute to poor health and high rates of obesity among individuals with serious mental illness (SMI). Interventions that increase engagement in physical exercise, dietary modifications, lifestyle changes and preventive health care can provide health benefits across the lifespan. These interventions have led to substantial physical improvements in some persons with SMI, while others have not improved or have experienced worsening physical health. We set out to identify characteristics of a health promotion program that persons with SMI associated with physical health improvements. Interviews were conducted with eight participants from the In SHAPE health-promotion program who lost at least 10 pounds or diminished their waist circumference by at least 10 cm. Interviews aimed to determine which aspects of the program were perceived to be most helpful in promoting physical health improvement. Among successful participants, three themes emerged, highlighting the importance of: (i) individualized interventions promoting engagement in the program; (ii) relationships with health-promotion program employees and (iii) self-confidence resulting from program participation. Health-promotion programs that target these areas may have better success in achieving health benefits for persons with SMI. (AU)


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Health Promotion , Mental Disorders , Consumer Behavior , Self Efficacy , Diet
2.
Psychiatry Res ; 89(3): 269-74, 1999 Dec 27.
Article in English | MEDLINE | ID: mdl-10708273

ABSTRACT

This study identified the unique and primary contributions of several concurrent risk factors for poor adherence to treatment recommendations in a clinic population of individuals with chronic psychotic disorders, i.e. 48% had DSM-IV diagnoses of schizoaffective disorder, 38% had schizophrenia, paranoid type, 12% had schizophrenia, undifferentiated type, and 2% had affective disorder with psychotic features. The target cohort consisted of 87 consecutive admissions to a continuing day treatment program. As part of a services-oriented quality assurance program, clinical staff completed rating scales for all patients. These included the BASIS-32 rating scale, which consisted of the following five subscales: psychosis; depression/anxiety; impulsive/addictive behavior; relation to self and others; and daily living and role functioning, and the Working Alliance Inventory-short form (therapist version), which consisted of the following three subscales: goal; task; and bond. These data were used to identify risk factors that weaken a patient's adherence to medication and non-medication treatment during the first 2 weeks of treatment in the clinic. Medication treatment consisted of both typical and atypical neuroleptic medications, with most patients being on multiple medications. Correlational analyses suggested that many of the risk factor variables were significantly associated with poor treatment adherence. Regression analyses suggested that the degree of psychoticism was most strongly associated with poor adherence to medication treatment and that difficulties relating to self and others were the strongest predictor of poor adherence to non-medication treatment. A large-sample services research design such as this can begin to determine patterns of associations between previous identified risk factors and poor treatment adherence in individuals with chronic psychotic disorders.


Subject(s)
Psychotic Disorders/therapy , Treatment Refusal , Adult , Antipsychotic Agents/administration & dosage , Antipsychotic Agents/adverse effects , Chronic Disease , Combined Modality Therapy , Day Care, Medical/psychology , Female , Humans , Male , Middle Aged , Psychotherapy , Psychotic Disorders/psychology , Recurrence , Risk Factors , Treatment Refusal/psychology
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