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A cross-sectional study of psychiatric morbidity and quality of life among participants utilizing the preventive health-care services of a tertiary hospital

Overview of attention for article published in Indian Journal of Psychiatry, January 2019
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A cross-sectional study of psychiatric morbidity and quality of life among participants utilizing the preventive health-care services of a tertiary hospital
Published in
Indian Journal of Psychiatry, January 2019
DOI 10.4103/psychiatry.indianjpsychiatry_159_18
Pubmed ID
Authors

Preethy Raghuraman, Sivaprakash Balasundaram, Sukanto Sarkar, Eswaran Subramaniam

Abstract

The burden of mental disorders has been increasingly recognized and 450 million people globally are suffering from mental illness. Mental-physical comorbidity has adverse effects on the overall outcome. Research is scarce with regard to mental health screening in the context of "preventive health care" in India. Thus, the study aimed to identify the prevalence of mental illness and the effect on quality of life (QOL) among participants attending preventive health-care unit (PHCU). This was a cross-sectional study conducted in PHCU of a tertiary hospital in Puducherry. All consecutive participants (>18 years) attending PHCU were included in the study. The Standard for Clinicians' Interview in Psychiatry (SCIP) screening module, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Level 1 Cross-Cutting Symptom Measure, Mini-Cog, and Quality of Life Enjoyment and Satisfaction Questionnaire were administered. Relevant diagnostic modules of SCIP were applied to participants who screened positive on SCIP. Data analysis was performed using SPSS (version 17.0). The mean age of participants was 43.38 ± 13.99 years. Of 203 participants enrolled, 28.1% screened positive and 26.1% were confirmed to have psychiatric disorder. About 4% screened positive for cognitive impairment. Most commonly diagnosed disorders were alcohol use disorder and major depressive disorder. The prevalence of depressive disorder was higher in patients with physical disorder. Participants with psychiatric disorder alone or with both psychiatric and physical disorders had significantly poorer QOL (F = 27.13; P < 0.001). One-fourth of the participants attending preventive health-care services were found to have psychiatric disorders. The presence of psychiatric disorder was associated with significantly poorer QOL. This highlights the importance of routine mental health screening in this setting.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 19%
Researcher 8 13%
Student > Master 5 8%
Student > Bachelor 4 6%
Student > Doctoral Student 3 5%
Other 10 16%
Unknown 21 33%
Readers by discipline Count As %
Unspecified 12 19%
Medicine and Dentistry 12 19%
Nursing and Health Professions 5 8%
Psychology 3 5%
Computer Science 2 3%
Other 6 10%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2019.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Indian Journal of Psychiatry
#959
of 1,521 outputs
Outputs of similar age
#322,802
of 446,429 outputs
Outputs of similar age from Indian Journal of Psychiatry
#78
of 226 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.