Prevalence of and factors associated with depression in the hill tribe population aged 40 years and older in northern Thailand

Singkhorn, Onnalin; Apidechkul, Tawatchai; Pitchalard, Khanittha; Moonpanane, Katemanee; Hamtanon, Pawadee; Sunsern, Rachanee; Leaungsomnapa, Yosapon; Thepsaw, Jintana

doi:10.1186/s13033-021-00487-7

Cited by 13 publications

(26 citation statements)

References 18 publications

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“…12 The proportion of depression among this group is comparable to other vulnerable populations such as ethnic or gender minorities. 13,14 Factors related to Thai medical student depression include academic performance, learning environment, relationship, and community, as well as individual vulnerabilities such as motivation and self-care. 7,9 According to the Thai medical education curriculum, the first clinical year of all students begins at the fourth year, which coincides with the greatest prevalence of depressive disorders and suicidal ideation in Thai students.…”

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confidence: 99%

Mental health among Thai medical students: Preadmission evaluation and service utilization

Chiddaycha

Wainipitapong

2021

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Background and Aims Mental illness among medical students is common. Identifying at‐risk students can be beneficial in terms of prevention and treatment. This study examined the association between preadmission mental health evaluation and mental health service utilization among Thai medical students. Methods The authors collected data from all first‐ to sixth‐year students at one university hospital and three affiliated hospitals during the 2014 to 2019 academic year (n = 1642). Preadmission mental health was evaluated using the Thai Mental Health Indicators 66 (TMHI‐66) questionnaire. Data from mental health service utilization included the dates of service and the clinical diagnosis. Data were analyzed using Cox regression, adjusted for sex, hometown, and affiliated hospital. Results The prevalence of poor mental health was found to be 3.7% based on TMHI‐66 results. The proportion of all students who sought mental health services was 8.3%, and they were mostly diagnosed with depressive disorder (3%), adjustment disorder (1.9%), and anxiety disorder (1.9%). Students with positive TMHI‐66 results were more likely to seek out services at the faculty counseling center for one or more mental health problems (Hazard ratio [HR] = 2.11, 95% CI 1.11‐4.04, P = .024). Conclusion Preadmission mental health was found to be associated with mental health service utilization. Depressive disorder was the most frequent mental illness among Thai medical students utilizing the faculty counseling services. Still, the number was far lower than the reported prevalence of mental disorders due to various reasons. Further studies are needed to investigate risk and protective factors for mental disorders to better promote mental health and encourage mental health service utilization in targeted students throughout medical education.

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confidence: 99%

Mental health among Thai medical students: Preadmission evaluation and service utilization

Chiddaycha

Wainipitapong

2021

Health Science Reports

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“…Despite the fact that 52% of Thailand’s people live in urban areas, which provide a facility for support in the event of depression, there are only about 882 psychiatrists in the country, which is insufficient to assist the entire population [ 8 , 9 ]. Furthermore, there have been numerous reports which indicated that a significant number of people in rural areas are underdiagnosed with depression [ 10 , 11 ]. A study reported that the prevalence of depression in the elderly in rural areas was as high as 18.5% [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…A study reported that the prevalence of depression in the elderly in rural areas was as high as 18.5% [ 10 ]. Another study revealed that the prevalence of depression among Thai hill tribe residents is approximately 39.1% [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Classification and analysis of text transcription from Thai depression assessment tasks among patients with depression

et al. 2023

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Depression is a serious mental health disorder that poses a major public health concern in Thailand and have a profound impact on individuals’ physical and mental health. In addition, the lack of number to mental health services and limited number of psychiatrists in Thailand make depression particularly challenging to diagnose and treat, leaving many individuals with the condition untreated. Recent studies have explored the use of natural language processing to enable access to the classification of depression, particularly with a trend toward transfer learning from pre-trained language model. In this study, we attempted to evaluate the effectiveness of using XLM-RoBERTa, a pre-trained multi-lingual language model supporting the Thai language, for the classification of depression from a limited set of text transcripts from speech responses. Twelve Thai depression assessment questions were developed to collect text transcripts of speech responses to be used with XLM-RoBERTa in transfer learning. The results of transfer learning with text transcription from speech responses of 80 participants (40 with depression and 40 normal control) showed that when only one question (Q1) of “How are you these days?” was used, the recall, precision, specificity, and accuracy were 82.5%, 84.65, 85.00, and 83.75%, respectively. When utilizing the first three questions from Thai depression assessment tasks (Q1 − Q3), the values increased to 87.50%, 92.11%, 92.50%, and 90.00%, respectively. The local interpretable model explanations were analyzed to determine which words contributed the most to the model’s word cloud visualization. Our findings were consistent with previously published literature and provide similar explanation for clinical settings. It was discovered that the classification model for individuals with depression relied heavily on negative terms such as ‘not,’ ‘sad,’, ‘mood’, ‘suicide’, ‘bad’, and ‘bore’ whereas normal control participants used neutral to positive terms such as ‘recently,’ ‘fine,’, ‘normally’, ‘work’, and ‘working’. The findings of the study suggest that screening for depression can be facilitated by eliciting just three questions from patients with depression, making the process more accessible and less time-consuming while reducing the already huge burden on healthcare workers.

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“…Under the crisis of the COVID-19 pandemic, IPV has increased its impact on both the frequency and level of violence [ 4 ]. Those who live in poverty [ 13 ], are minorities [ 14 ], and have a poor education [ 3 , 15 ] are particularly vulnerable to IPV.…”

Section: Introductionmentioning

confidence: 99%

Influences and patterns of intimate partner violence among married Akha and Lahu women in northern Thailand

et al. 2023

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Background Intimate partner violence (IPV) is a major global public health problem. Women are the principal victims of IPV, and some special populations have been particularly impacted. The Akha and Lahu women are vulnerable populations for IPV due to the modernization and changes of their culture and norms. This study aimed to understand premarriage factors related to IPV, including associated factors, influencers, patterns and impacts, in Akha and Lahu women in Thailand. Methods A qualitative method was used to gather information among Akha and Lahu women who had experienced IPV in the previous year and were fluent in Thai. Women who had experienced IPV in the previous year and lived in the border area of Thailand and Myanmar were invited to provide information. A thematic analysis was used to extract information from the participants and develop findings. Results A total of fifty-two married women were recruited into the study: 46.2% were Akha and 53.8% were Lahu. Those married Akha and Lahu women younger than 39 years found their partner through social media, had conditions before getting married, had high self-confidence, and tended to marry people from different tribes. While those aged 40 years and over met their husbands in village activities, were highly compliant with the norms of their culture, and married men from the same tribe. Three factors were detected as associated factors of IPV: cultural differences between partners from different tribes, substance use, and personality. Differences in age between partners, living in poor family economic status, and poor education were also detected as influencers of IPV. Four patterns of IPV were observed among Akha and Lahu married women: neglect, emotional abuse, verbal abuse, and physical abuse. Several patterns of the impacts were presented: children were neglected, especially in the preparation of daily food, having stress, having poor family relationships, and having children with unsuccessful lives in terms of education and getting a good job. Almost all married Akha and Lahu women had no particular expectations in their lives. Conclusion Akha and Lahu women face IPV problems with several key influences and impacts. Effective implementations are required to monitor and reduce the problem in the Akha and Lahu families, especially where the women are younger than 40 years old and married to men from different tribes.

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Prevalence of and factors associated with depression in the hill tribe population aged 40 years and older in northern Thailand

Cited by 13 publications

References 18 publications

Mental health among Thai medical students: Preadmission evaluation and service utilization

Mental health among Thai medical students: Preadmission evaluation and service utilization

Classification and analysis of text transcription from Thai depression assessment tasks among patients with depression

Influences and patterns of intimate partner violence among married Akha and Lahu women in northern Thailand

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