Dataset Information

Attitudes toward metabolic adverse events among patients with schizophrenia in Japan.

ABSTRACT:

Background

Metabolic syndrome is a growing concern among patients with schizophrenia because metabolic abnormalities are widely regarded as a major risk factor for cardiovascular disease and premature death. The current study assessed attitudes toward metabolic adverse events among patients with schizophrenia.

Methods

A brief questionnaire was constructed to investigate patient recognition of the following broad areas: dietary habits, lifestyle, self-monitoring, knowledge, and medical practice. Between January 2012 and June 2013, questionnaires were sent to patients associated with 520 outpatient facilities and 247 inpatient facilities belonging to the Japan Psychiatric Hospital Association. All of the participants (n=22,072; inpatients =15,170, outpatients =6,902) were diagnosed with schizophrenia based on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, or the International Classification of Diseases, tenth revision.

Results

Approximately 55.0% (8,069/14,669) of inpatients and 44.8% of outpatients (2,978/6,649) reported that they did not exercise at all. Although 60.9% (4,116/6,760) of outpatients reported that they felt obese, only 35.6% (5,261/14,794) of inpatients felt obese. More than half of the inpatients (51.2%; 7,514/14,690) and outpatients (60.8%; 4,086/6,721) hoped to receive regular blood tests to prevent weight gain and diseases such as diabetes.

Conclusion

Although more than half of patients hoped to prevent weight gain and diabetes, only a minority of patients were mindful of eating balanced meals and having physical exercise. Educational efforts and the promotion of the best pharmacotherapy and monitoring practices are needed for patients with schizophrenia.

SUBMITTER: Sugawara N

PROVIDER: S-EPMC4771408 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Attitudes toward metabolic adverse events among patients with schizophrenia in Japan.

Sugawara Norio N Yasui-Furukori Norio N Yamazaki Manabu M Shimoda Kazutaka K Mori Takao T Sugai Takuro T Matsuda Hiroshi H Suzuki Yutaro Y Minami Yoshitake Y Ozeki Yuji Y Okamoto Kurefu K Sagae Toyoaki T Someya Toshiyuki T

Neuropsychiatric disease and treatment 20160224

<h4>Background</h4>Metabolic syndrome is a growing concern among patients with schizophrenia because metabolic abnormalities are widely regarded as a major risk factor for cardiovascular disease and premature death. The current study assessed attitudes toward metabolic adverse events among patients with schizophrenia.<h4>Methods</h4>A brief questionnaire was constructed to investigate patient recognition of the following broad areas: dietary habits, lifestyle, self-monitoring, knowledge, and med ...[more]

PMID: 26966364

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Project description:BackgroundAdverse events are underreported in research studies, particularly randomized controlled trials and pharmacovigilance studies. A method that researchers could use to identify more complete safety profiles for medications is to use social media analytics. However, patient's perspectives on the ethical issues associated with using patient reports of adverse drug events on social media are unclear.ObjectiveThe objective of this study was to explore the ethics of using social media for detecting and monitoring adverse events for research purposes using a multi methods approach.MethodsA multi methods design comprising qualitative semistructured interviews (n=24), a focus group (n=3), and 3 Web-based discussions (n=20) with members of the public was adopted. Findings from a recent systematic review on the use of social media for monitoring adverse events provided a theoretical framework to interpret the study's findings.ResultsViews were ascertained regarding the potential benefits and harms of the research, privacy expectations, informed consent, and social media platform. Although the majority of participants were supportive of social media content being used for research on adverse events, a small number of participants strongly opposed the idea. The potential benefit of the research was cited as the most influential factor to whether participants would give their consent to their data being used for research. There were also some caveats to people's support for the use of their social media data for research purposes: the type of social media platform and consideration of the vulnerability of the social media user. Informed consent was regarded as difficult to obtain and this divided the opinion on whether it should be sought.ConclusionsSocial media users were generally positive about their social media data being used for research purposes; particularly for research on adverse events. However, approval was dependent on the potential benefit of the research and that individuals are protected from harm. Further study is required to establish when consent is required for an individual's social media data to be used.

Project description:Introduction. The paper reports on an exploratory study of the usefulness of Twitter for unobtrusive assessment of stigmatizing attitudes in the community. Materials and Methods. Tweets with the hashtags #depression or #schizophrenia posted on Twitter during a 7-day period were collected. Tweets were categorised based on their content and user information and also on the extent to which they indicated a stigmatising attitude towards depression or schizophrenia (stigmatising, personal experience of stigma, supportive, neutral, or anti-stigma). Tweets that indicated stigmatising attitudes or personal experiences of stigma were further grouped into the following subthemes: social distance, dangerousness, snap out of it, personal weakness, inaccurate beliefs, mocking or trivializing, and self-stigma. Results and Discussion. Tweets on depression mostly related to resources for consumers (34%), or advertised services or products for individuals with depression (20%). The majority of schizophrenia tweets aimed to increase awareness of schizophrenia (29%) or reported on research findings (22%). Tweets on depression were largely supportive (65%) or neutral (27%). A number of tweets were specifically anti-stigma (7%). Less than 1% of tweets reflected stigmatising attitudes (0.7%) or personal experience of stigma (0.1%). More than one third of the tweets which reflected stigmatising attitudes were mocking or trivialising towards individuals with depression (37%). The attitude that individuals with depression should "snap out of it" was evident in 30% of the stigmatising tweets. The majority of tweets relating to schizophrenia were categorised as supportive (42%) or neutral (43%). Almost 10% of tweets were explicitly anti-stigma. The percentage of tweets showing stigmatising attitudes was 5%, while less than 1% of tweets described personal experiences of stigmatising attitudes towards individuals with schizophrenia. Of the tweets that indicated stigmatising attitudes, most reflected inaccurate beliefs about schizophrenia being multiple personality disorder (52%) or mocked or trivialised individuals with schizophrenia (33%). Conclusions. The study supports the use of analysis of Twitter content to unobtrusively measure attitudes towards mental illness, both supportive and stigmatising. The results of the study may be useful in assisting mental health promotion and advocacy organisations to provide information about resources and support, raise awareness and counter common stigmatising attitudes.

Dataset Information

Attitudes toward metabolic adverse events among patients with schizophrenia in Japan.

Background

Methods

Results

Conclusion

Publications

Attitudes toward metabolic adverse events among patients with schizophrenia in Japan.

Similar Datasets

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