Surin Jiraniramai

Dr. Surin Jiraniramai

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Asian Journal of Psychiatry
Verified
Journal Article
Closed access
Nahathai WongpakaranNahathai Wongpakaran
Nahathai Wongpakaran
Tinakon WongpakaranTinakon Wongpakaran
Tinakon Wongpakaran
PLPeerasak Lerttrakarnnon
Peerasak Lerttrakarnnon
SJSurin Jiraniramai
Surin Jiraniramai
TSThanitha Sirirak
Thanitha Sirirak
PKPimolpun Kuntawong
Pimolpun Kuntawong

1 July 2011 in BMC Family Practice
Verified
Journal Article
Open access
PDF file
Nahathai WongpakaranNahathai Wongpakaran
Nahathai Wongpakaran
Tinakon WongpakaranTinakon Wongpakaran
Tinakon Wongpakaran
PBPutipong Bookamana
Putipong Bookamana
MPManee Pinyopornpanish
Manee Pinyopornpanish
BMBenchalak Maneeton
Benchalak Maneeton
SJSurin Jiraniramai
Surin Jiraniramai
Delirium is a common illness among elderly hospitalized patients. However, under-recognition of the condition by non-psychiatrically trained personnel is prevalent. This study investigated the performance of family physicians when detecting delirum in elderly hospitalized Thai patients using the Thai version of the Confusion Assessment Method (CAM) algorithm.

AWApichai Wattanapisit
Apichai Wattanapisit
WJWichuda Jiraporncharoen
Wichuda Jiraporncharoen
KPKanokporn Pinyopornpanish
Kanokporn Pinyopornpanish
SJSurin Jiraniramai
Surin Jiraniramai
KTKanittha Thaikla
Kanittha Thaikla
CAChaisiri Angkurawaranon
Chaisiri Angkurawaranon
This study aimed to identify the prevalence of health-risk behaviours (alcohol use, tobacco smoking and gambling) and the associations between health-risk behaviours and injuries among youth (15–24 years) and young adults (25–39 years). A multi-stage cluster sampling survey was conducted in Chiang Mai, Thailand. The associations between health-risk behaviours and injuries were analysed using logistic regression and adjusted for potential confounders. Sample weights were applied in all analyses. Six-hundred-and-thirty participants were included. Fifty-three percent of males and 12.3% of females drank in the past three months. Smoking in the past three months was higher among males (38.5%) than females (0.7%). About a quarter of men and a fifth of the women had gambled in the past year. A total of 6.4% of males and 4.8% of females sought medical attention in the past year due to injuries. Compared to those without any of the three health-risk behaviours, the odds ratio for injuries requiring medical attention was 3.81 (95% CI: 1.33 to 10.90, p = 0.013) for those with two health-risk behaviours and 13.8 (95% CI: 4.24 to 45.10, p < 0.001) for those with all three health-risk behaviours. Injury prevention policies may need to incorporate interventions designed to assess multiple health-risk behaviours.

1 January 2019 in Neuropsychiatric Disease and Treatment
Verified
Journal Article
Open access
PDF file
CSChawisa Suradom
Chawisa Suradom
Nahathai WongpakaranNahathai Wongpakaran
Nahathai Wongpakaran
Tinakon WongpakaranTinakon Wongpakaran
Tinakon Wongpakaran
PLPeerasak Lerttrakarnnon
Peerasak Lerttrakarnnon
SJSurin Jiraniramai
Surin Jiraniramai
SASuwanna Arunpongpaisal
Suwanna Arunpongpaisal

Purpose:
The study evaluated the prevalence of comorbid anxiety disorders in late-life depression (LLD) and identified their associated factors. Patients and methods: This study involved 190 elderly Thais with depressive disorders diagnosed according to the Mini-International Neuropsychiatric Interview (MINI). Anxiety disorders were also diagnosed by the MINI. The 7-item Hamilton Depression Rating Scale (HAMD-7), Montreal Cognitive Assessment, Geriatric Depression Scale (GDS), Core Symptoms Index, Neuroticism Inventory, Perceived Stress Scale and Multidimensional Scale for Perceived Social Support were completed. Descriptive statistics and ORs were used for analysis. Results: Participants included 139 females (73.2%) with a mean age of 68.39±6.74 years. The prevalence of anxiety disorders was 7.4% for generalized anxiety disorder (GAD), 4.7% for panic disorder, 5.3% for agoraphobia, 1.1% for social phobia, 2.1% for obsessive–compulsive disorder and 3.7% for post-traumatic stress disorder, with an overall prevalence of 16.84%. The comorbidity of anxiety disorders was associated with gender (P=0.045), history of depressive disorder (P=0.040), family history of depressive disorder (P=0.004), GDS (P=0.037), HAMD-7 (P=0.001), suicidality (P=0.002) and neuroticism (P=0.003). History of alcohol use was not associated. Conclusion: The prevalence of anxiety in LLD was comparable to other studies, with GAD and agoraphobia being the most prevalent. This study confirmed the role of depression severity and neuroticism in developing comorbid anxiety disorders.

12 December 2018 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
Nahathai WongpakaranNahathai Wongpakaran
Nahathai Wongpakaran
Tinakon WongpakaranTinakon Wongpakaran
Tinakon Wongpakaran
TSThanitha Sirirak
Thanitha Sirirak
RJRewadee Jenraumjit
Rewadee Jenraumjit
SJSurin Jiraniramai
Surin Jiraniramai
PLPeerasak Lerttrakarnnon
Peerasak Lerttrakarnnon
Polypharmacy is a geriatric syndrome defined variously as the use of potentially inappropriate drugs and/or the concurrent use of multiple medications including prescription and over-the-counter drugs. An association has been shown between polypharmacy and physical health, increased morbidity and increased mortality. However, there is little information regarding the association between polypharmacy and physical disease, personality trait and mental health problems in elderly. The aim of this study was to investigate potential predictive psychosocial factors related to polypharmacy in elderly Thai people. The study analysed the secondary data from the Depressive Disorders, Anxiety Disorders, Suicide Risk and Associated Factors Among Elderly Thai People Program (DAS Study) which was funded by National Research Council of Thailand and conducted between January 2012 and April 2013. Demographic and baseline clinical characteristics including sex, age, education, living alone or with others, access to health care privilege and monthly income were described. The number of medication, physical diseases and mental health problems (i.e. depression, anxiety, and personality trait of neuroticism) were analyzed using descriptive statistics, chi-square and proportional odds logistic regression. The 803 participants consumed an average of 2.13 prescribed medicines daily (SD 1.46, median = 2). The largest group used 3 medications (18.6%). Predictors found to be associated with polypharmacy in the logistic regression model included hypertension (OR = 1.985, 95% CI = 1.420–2.775), anxiety disorder (OR = 4.402, 95% CI = 2.630–7.367), number of diseases (OR = 2.140, 95% CI = 1.874–2.445), depressive disorder (OR = 1.470, 95% CI = 1.080–2.001), diabetes mellitus (OR = 1.864, 95% CI = 1.122–3.098) and dyslipidemia (OR = 0.511, 95%CI = 0.325–0.803). The prevalence of polypharmacy among Thai elderly was relatively high compared to other related studies. Several aspects should be taken into consideration before starting an additional medication in elderly patients. In addition to the number of physical disease that leads to polypharmacy, general practitioners should be aware of anxiety, depression, and personality trait of neuroticism that may be related to polypharmacy. Early detection for such condition as well as non-pharmacological intervention could be one way to help reduce polypharmacy in the elderly.

8 November 2019 in Scientific Reports
Verified
Journal Article
Open access
PDF file
NJNalinee Jakkaew
Nalinee Jakkaew
KPKanokporn Pinyopornpanish
Kanokporn Pinyopornpanish
WJWichuda Jiraporncharoen
Wichuda Jiraporncharoen
AWAnawat Wisetborisut
Anawat Wisetborisut
SJSurin Jiraniramai
Surin Jiraniramai
CAChaisiri Angkurawaranon
Chaisiri Angkurawaranon
While there is an abundance of literature examining the relation between quantity of alcohol consumption and risk factors for non-communicable diseases (NCD), there is less evidence on whether the risk of harm from alcohol use would have a similar relationship with NCD risk factors. The study aims to determine the association between level of harm from alcohol use and NCD risk factors. A cross-sectional survey was conducted among health care workers in Thailand in 2013. The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was used to assessed risk of harm from alcohol use. The results suggest that higher risk of harm from alcohol use was associated with two of the eight NCD risk factors among women (higher blood pressure and higher triglyceride level) and five of the eight NCD risk factors among men (smoking, physical inactivity, higher blood pressure, higher blood glucose and higher triglyceride level). For men, assessing risk of harm could be incorporated as part of NCD programs as practitioners do not have to worry about the accuracy of the alcohol quantification and conversion to standard drinks. However, among women, quantifying volume may still be needed.