Psychometric Properties of the Thai Version Psychological Well-Being Scale and the Factors Related to among Thai Patients with Major Depressive Disorder

Sakunpong, Nanchatsan; Ritkumrop, Kwanjai

doi:10.1155/2021/2592548

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…That is slightly lower than our mean score which was 37.22. Another study in 8 Thai adolescents with major depression disorder from early 2019 until early 2020 have shown a score of Mean = 40.38, SD = 8.19 [15], yet with limitations of the number of participants, and were selected from only one medical center in the central region of Thailand. Moreover, all of these past studies were investigated before the pandemic of the COVID-19 which is forecasted to be the main reason cooperating with the decline in the results of subjective well-being in adolescents.…”

Section: Table II Items Of the Flourishing Scale In Thai Adolescentsmentioning

confidence: 99%

Thai Adolescent’s Scale of Flourishing During the COVID-19 Pandemic Analysed by the Subjective Well-Being (SWB)

Dachapipatkhon¹

2021

ijmra

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The Coronavirus has been introduced to Thailand for almost 2 years. Students were forced to take online classes in order to gain social distance. As it is well known, adolescents had the highest levels of satisfaction with friends and with self. Due to this occurrence, many students are at risk of mental challenges, likely due to unexpected life changes. The research aims to analyze subjective well-being (SWB) and to compare the data to other studies. The Flourishing Scale of 8 uniform questionnaires by Diener et. al. (2009) is used as a measurement to conduct the research as a major research tool in 507 Thai adolescent participants aged 12-19 years old. The level of psychological well-being and respondent's selfperceived success in important areas such as relationships, self-esteem, purpose, and optimism were quantified and performed. The Flourishing Scale scores in relevant research, enable the researchers to signify the contrast in the level of subjective well-being in Thai- adolescents according to the COVID-19 existence. As a result, the mean of the subjective wellbeing of the Flourishing Scale in Thai adolescence was 37.22 which is one of the lowest scores so far compared to the previous research investigated before the pandemic of the Coronavirus. It can be found that young adolescents are showing a decline in psychological resources and strength compared to the previous years which should be carefully inspected by adults and mental health-related professionals.

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Section: Table II Items Of the Flourishing Scale In Thai Adolescentsmentioning

confidence: 99%

Thai Adolescent’s Scale of Flourishing During the COVID-19 Pandemic Analysed by the Subjective Well-Being (SWB)

Dachapipatkhon¹

2021

ijmra

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“…Although depression screening tools vary in their psychometric properties, the PHQ-9 is the most extensively psychometrically-tested tool [7]. There is a substantial number of standard questionnaires available in the Thai language, for example the Patient Health Questionnaire (2Q, 8Q, 9Q, and PHQ-A) [8][9][10] and the Beck Depression Inventory-Thai [11].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Depression for Undergraduate Students Based on Imbalanced Data by Using Data Mining Techniques

Narkbunnum¹,

Wisaeng²

2022

ASI

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Depression is becoming one of the most prevalent mental disorders. This study looked at five different classification techniques to predict the risk of students’ depression based on their socio-demographics, internet addiction, alcohol use disorder, and stress levels to see if they were at risk for depression. We propose a combined sampling technique to improve the performance of the imbalanced classification of university student depression data. In addition, three different feature selection methods, Correlation, Gain ratio, and Relief feature selection algorithms, were used for extracting the most relevant features from the dataset. In our experimental results, we discovered that combining the bootstrapping technique with the Relief selection technique under sampling methods enabled the generation of a relatively well-balanced dataset on depression without significant loss of information. The results show that the overall accuracy in the risk of depression prediction data was 93.16%, outperforming the individual sampling technique. In addition, other evaluation metrics, including precision, recall, and area under the curve (AUC), were calculated for various models to determine the most effective model for predicting risk of depression.

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Psychometric Properties of the Thai Version Psychological Well-Being Scale and the Factors Related to among Thai Patients with Major Depressive Disorder

Cited by 2 publications

References 27 publications

Thai Adolescent’s Scale of Flourishing During the COVID-19 Pandemic Analysed by the Subjective Well-Being (SWB)

Thai Adolescent’s Scale of Flourishing During the COVID-19 Pandemic Analysed by the Subjective Well-Being (SWB)

Prediction of Depression for Undergraduate Students Based on Imbalanced Data by Using Data Mining Techniques

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