scholarly journals Monitoring and Prevalence Rates of Metabolic Syndrome in Military Veterans with Serious Mental Illness

PLoS ONE ◽  
2011 ◽  
Vol 6 (4) ◽  
pp. e19298 ◽  
Author(s):  
Sameed Ahmed M. Khatana ◽  
Joshua Kane ◽  
Tracey H. Taveira ◽  
Mark S. Bauer ◽  
Wen-Chih Wu
2019 ◽  
Vol 29 (2) ◽  
pp. 254-265
Author(s):  
Wen‐Chii Tzeng ◽  
Yu‐Shuang Chiang ◽  
Hsin‐Pei Feng ◽  
Wu‐Chien Chien ◽  
Yueh‐Ming Tai ◽  
...  

2012 ◽  
Vol 36 (9) ◽  
pp. 326-331 ◽  
Author(s):  
Anna Gubbins ◽  
John Lally ◽  
Colm McDonald

Aims and methodTo ascertain the prevalence of metabolic syndrome in individuals with chronic enduring mental illness attending community psychiatric day centres, and to identify the prevalence of individual cardiometabolic risk factors and the rate of screening for these abnormalities. One hundred participants with chronic enduring mental illness were recruited and investigated using physical assessments and comprehensive laboratory testing.ResultsOf the 100 participants recruited, 55% met the criteria for metabolic syndrome. There were similar prevalence rates between those with psychotic and non-psychotic disorders. Forty-four per cent of the patients had not been screened for metabolic parameters in the previous 12 months, and 43% of these met criteria for metabolic syndrome.Clinical implicationsChronic enduring mental illness is associated with high prevalence rates of metabolic syndrome regardless of diagnosis or use of antipsychotic medication. A substantial proportion of this standard cohort of patients attending day centres carry cardiovascular risk factors that remain unidentified, but should be screened for and intensively managed.


2019 ◽  
Vol 28 (6) ◽  
pp. 1328-1337 ◽  
Author(s):  
Sara Fernández Guijarro ◽  
Edith Pomarol‐Clotet ◽  
Mª Carmen Rubio Muñoz ◽  
Carolina Miguel García ◽  
Elena Egea López ◽  
...  

10.2196/17560 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e17560
Author(s):  
Wanjun Guo ◽  
Yujie Tao ◽  
Xiaojing Li ◽  
Xia Lin ◽  
Yajing Meng ◽  
...  

Background Internet addiction has become a major global concern and a burden on mental health. However, there is a lack of consensus on its link to mental health outcomes. Objective The aim of this study was to investigate the associations between internet addiction severity and adverse mental health outcomes. Methods First-year undergraduates enrolled at Sichuan University during September 2015, 2016, 2017, and 2018 were invited to participate in the current study survey, 85.13% (31,659/37,187) of whom fully responded. Young’s 20-item Internet Addiction Test, Patient Health Questionnaire-15, Patient Health Questionnaire-9, Symptom Checklist 90, Six-Item Kessler Psychological Distress Scale, and Suicidal Behaviors Questionnaire-Revised were used to evaluate internet addiction, four psychopathologies (high somatic symptom severity, clinically significant depression, psychoticism, and paranoia), serious mental illness, and lifetime suicidality. Results The prevalence of students with mild, moderate, and severe internet addiction was 37.93% (12,009/31,659), 6.33% (2003/31,659), and 0.20% (63/31,659), respectively. The prevalence rates of high somatic symptom severity, clinically significant depression, psychoticism, paranoid ideation, and serious mental illness were 6.54% (2072/31,659), 4.09% (1294/31,659), 0.51% (160/31,659), 0.52% (165/31,659), and 1.88% (594/31,659), respectively, and the lifetime prevalence rates of suicidal ideation, suicidal plan, and suicidal attempt were 36.31% (11,495/31,659), 5.13% (1624/31,659), and 1.00% (315/31,659), respectively. The prevalence rates and odds ratios (ORs) of the four psychopathologies and their comorbidities, screened serious mental illness, and suicidalities in the group without internet addiction were much lower than the average levels of the surveyed population. Most of these metrics in the group with mild internet addiction were similar to or slightly higher than the average rates; however, these rates sharply increased in the moderate and severe internet addiction groups. Among the four psychopathologies, clinically significant depression was most strongly associated with internet addiction after adjusting for the confounding effects of demographics and other psychopathologies, and its prevalence increased from 1.01% (178/17,584) in the students with no addiction to 4.85% (582/12,009), 24.81% (497/2,003), and 58.73% (37/63) in the students with mild, moderate, and severe internet addiction, respectively. The proportions of those with any of the four psychopathologies increased from 4.05% (713/17,584) to 11.72% (1408/12,009), 36.89% (739/2003), and 68.25% (43/63); those with lifetime suicidal ideation increased from 24.92% (4382/17,584) to 47.56% (5711/12,009), 67.70% (1356/2003), and 73.02% (46/63); those with a suicidal plan increased from 2.59% (456/17,584) to 6.77% (813/12,009), 16.72% (335/2003), and 31.75% (20/63); and those with a suicidal attempt increased from 0.50% (88/17,584) to 1.23% (148/12,009), 3.54% (71/2003), and 12.70% (8/63), respectively. Conclusions Moderate and severe internet addiction were strongly associated with a broad group of adverse mental health outcomes, including somatic symptoms that are the core features of many medical illnesses, although clinically significant depression showed the strongest association. This finding supports the illness validity of moderate and severe internet addiction in contrast to mild internet addiction. These results are important for informing health policymakers and service suppliers from the perspective of resolving the overall human health burden in the current era of “Internet Plus” and artificial intelligence.


2012 ◽  
Vol 27 ◽  
pp. 1
Author(s):  
P. Ntounas ◽  
C. Tsopelas ◽  
P. Chatzimanolis ◽  
M. Dimitraka ◽  
D. Pappas ◽  
...  

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