Psychotic Experiences, Depressive Symptoms, Anxiety Symptoms and Common Mental Health Risk Factors of Urban and Non-Urban Dwellers in Indonesia

Jaya, Edo Sebastian; Wulandari, Sri

doi:10.7454/proust.v1i1.21

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…In terms of sociodemographic characteristics, we found that living in an urban area was positively associated with NA among adolescents and young adults. Consistent with this result, Jaya and Wulandari [ 31 ] reported that among the general population in Indonesia, participants living in urban areas exhibited higher levels of loneliness, depression, symptoms indicative of psychosis, and negative-self schema. The greater magnitudes of mental health concerns in urban areas compared with those in nonurban areas may be attributable to the differing population densities.…”

Section: Discussionmentioning

confidence: 53%

Determinants of Positive and Negative Affect among Adolescents and Young Adults in Indonesia: A Population-Based Survey

Purborini

Lee

Chang

2021

IJERPH

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Positive and negative affect are crucial for mental health. However, the determinant factors of positive and negative affect have yet to be examined between adolescents and young adults. This study aimed to explore the determinant factors of positive and negative affect, comparing their effects among adolescents and young adults and among the two sexes in Indonesia. We undertook secondary data analyses of the Indonesia Family Life Survey for this cross-sectional study. Questionnaires on sociodemographic characteristics, physical and mental health-related variables, and childhood family experiences from 2014 were used as independent variables, and positive and negative affect were used as the dependent variables. Hierarchical linear regression was performed to investigate the factors associated with positive and negative affect and to compare their effects between adolescents and young adults. The hierarchical linear regression revealed that sociodemographic characteristics, perceived health, smoking, chronic condition, acute morbidity, sleep, childhood family experiences, depression, personality type, life satisfaction, happiness, and experience of disasters were associated with positive and negative affect among adolescents and young adults in Indonesia. Identification of positive and negative affect as well as their associated factors among adolescents and young adults should be considered when developing preventive programs in the community.

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Section: Discussionmentioning

confidence: 53%

Determinants of Positive and Negative Affect among Adolescents and Young Adults in Indonesia: A Population-Based Survey

Purborini

Lee

Chang

2021

IJERPH

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“…The BCSS [45] is a 24-item self-report measure in which participants rate agreement with 6 positive and 6 negative beliefs about themselves and other people from 0 (No) to 4 (Believe totally). The BCSS has been used successfully in Japan and Indonesia [46, 47].…”

Section: Methodsmentioning

confidence: 99%

Assessing social recovery of vulnerable youth in global mental health settings: a pilot study of clinical research tools in Malaysia

Berry

Othman²,

Tan³

et al. 2019

BMC Psychiatry

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Background A social recovery approach to youth mental health focuses on increasing the time spent in valuable and meaningful structured activities, with a view to preventing enduring mental health problems and social disability. In Malaysia, access to mental health care is particularly limited and little research has focused on identifying young people at risk of serious socially disabling mental health problems such as psychosis. We provide preliminary evidence for the feasibility and acceptability of core social recovery assessment tools in a Malaysian context, comparing the experiential process of engaging young Malaysian participants in social recovery assessments with prior accounts from a UK sample. Methods Nine vulnerable young people from low-income backgrounds were recruited from a non-government social enterprise and partner organisations in Peninsular Malaysia. Participants completed a battery of social recovery assessment tools (including time use, unusual experiences, self-schematic beliefs and values). Time for completion and completion rates were used as indices of feasibility. Acceptability was examined using qualitative interviews in which participants were asked to reflect on the experience of completing the assessment tools. Following a deductive approach, the themes were examined for fit with previous UK qualitative accounts of social recovery assessments. Results Feasibility was indicated by relatively efficient completion time and high completion rates. Qualitative interviews highlighted the perceived benefits of social recovery assessments, such as providing psychoeducation, aiding in self-reflection and stimulating goal setting, in line with findings from UK youth samples. Conclusions We provide preliminary evidence for the feasibility and acceptability of social recovery assessment tools in a low-resource context, comparing the experiential process of engaging young Malaysian participants in social recovery assessments with prior accounts from a UK sample. We also suggest that respondents may derive some personal and psychoeducational benefits from participating in assessments (e.g. of their time use and mental health) within a social recovery framework.

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“…P revious studies have linked living in urban areas and mental health problems. The risk and prevalence of some major mental disorders (e.g., anxiety, mood, and psychotic disorders) are higher in urban compared to rural areas (Jaya & Wulandari, 2018;Nepomuceno, Cardoso, Ximenes, Barros, & Leite, 2016;Peen, Schoevers, Beekman, & Dekker, 2010;Sharifi et al, 2015). Studies in China (Long et al, 2014), Germany (Jacobi et al, 2014), and Denmark (Pedersen & Mortensen, 2001) show similar findings for schizophrenia.…”

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confidence: 99%

Sociodemographic determinants of self-reporting mental health problems in Indonesian urban population

Purba

Fitriana

2019

PROUST

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Studies have found that mental health problems are more prevalent in urban areas compared to rural ones, including in Indonesia. About 6% of Indonesian people report having mental health problems, and 1.7 out of every thousand residents are diagnosed with a psychiatric problem. This study examines the sociodemographic determinants of reporting mental health problems among Indonesia’s general population living in urban areas. One thousand forty participants aged 17 years and over answered sociodemographic questions (i.e., residence, gender, age, education level, income, marital status) and completed the EQ-5D-5L. Their responses to the Anxiety/Depression item of the EQ-5D-5L (no problem vs. any level of problem) were the dependent variable sociodemographic factors were the explanatory variables. About one-third (35.37%) of the participants reported experiencing problems with anxiety/depression. Logistic regression found that marital status was significantly associated with reporting any problems of anxiety/depression in the EQ-5D-5L: single/divorced participants were 58% more likely to report that they suffered from anxiety/depression in comparison to their married counterparts. These results highlight the importance of social support; that is, having a spouse or extended family member whom one can count on for help when facing a problem is essential, regardless of one’s gender, age, educational level, or income.

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Psychotic Experiences, Depressive Symptoms, Anxiety Symptoms and Common Mental Health Risk Factors of Urban and Non-Urban Dwellers in Indonesia

Cited by 6 publications

References 28 publications

Determinants of Positive and Negative Affect among Adolescents and Young Adults in Indonesia: A Population-Based Survey

Determinants of Positive and Negative Affect among Adolescents and Young Adults in Indonesia: A Population-Based Survey

Assessing social recovery of vulnerable youth in global mental health settings: a pilot study of clinical research tools in Malaysia

Sociodemographic determinants of self-reporting mental health problems in Indonesian urban population

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