Across-sectional study on the prevalence of Thai adolescent depression

This large-scale study aimed to investigate the prevalence of depression in 4,089 Thai adolescents of both sexes. The participants were between 11 and 16 years old and sampled from all the various regions of Thailand to be representative of the entire country. The Thai translation of the Patient Health Questionnaire for Adolescents (PHQ-A) was employed to collect data. Descriptive statistics and chi-square tests of independence were used for data analysis. The results revealed that the vast majority of the participants (72.2%) had either a mild (44.5%; PHQ-A = 5–9) or at least a moderate form of depression (27.7 %; PHQ-A ≥ 10). Further analysis found that females (χ2 = 41.9, p =.000), poor academic results (χ2 = 12.7, p = .013), low family income (χ2 = 18.0, p =.021), suicidal thoughts (χ2 = 811.0, p =.000) and suicide attempts (χ2 = 414.4, p =.000) were associated with depression, while age (χ2 = 8.9, p = .064) was not associated with depression. Compared to worldwide PHQ-A-based studies of adolescent depression, it would appear that the prevalence of depression in Thai adolescents is common and relatively high

A global experience-sampling method study of well-being during times of crisis : The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset