Journal
Revealing the Hidden Burden and Risk Factors of Mental Health Disorders
Unnes Journal of Public Health · Vol. 15 No. 1 (2026) · pp. 18–30
- ISSN
- 2548-7604, 2252-6781
- Published
- 2026-05-09
- Publisher
- Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
- Language
- eng
Abstract
Mental health diseases are a major issue in Indonesia, as evidenced by mental–emotional disorders rising from 6.1% in 2018 to 9.8% in 2021, the reported prevalence of depression being that of up to 6.6%. However, even though national-level data are available, evidence from the specific region regarding the prevalence and risk factors in Bogor is still scant. Including used dataThis study: 2017-2018 NCD Bogor City Knowledge Risk Factor Cohort. The aims were to assess the prevalence of mental health disorders and associated factors and risk profile for each factor. 3,784 people participated. Bivariate and logistic regression analyses were used to identify risk factors. In Bogor City, the prevalence of MHD is reported at 21.4%. Multivariable analysis revealed factors associated with the outcome: below-median income (less than Rp. 3,557.146) (aOR=1.801; p=0.001), age 26-45 (aOR=1.328; p=0.001), male (aOR=1.731; p=0.001), and incomplete elementary education (aOR=1.919; p=0.006). In contrast, completion of only elementary education (aOR = 2.064; p = 0.019), heart disease (aOR = 1.773; p = 0.017), and heavy physical activity (aOR = 1.561; p = 0.001) were found to significantly influence the risk of mental health disorders (MHD) (p = 0.002). Overall, Bogor City exhibits a high prevalence of MHD, with multiple demographic and health-related risk factors contributing to this condition, including low income, age 26–45, male gender, incomplete elementary education, lack of health insurance, comorbid heart disease, and engagement in heavy physical activity.
Keywords
Collaboration network of the authors
40 authors · 129 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Mahalul Azam | Affiliation unknown | 2 |
| Arulita Ika Fibriana | Affiliation unknown | 2 |
| Intan Zainafree | Affiliation unknown | 2 |
| Ray Wagiu Basrowi | Affiliation unknown | 2 |
| Dessy Pratiwi | Affiliation unknown | 2 |
| Charisma Dilantika | Affiliation unknown | 2 |
| Febriansyah Darus | Affiliation unknown | 2 |
| Edwin Kinesya | Affiliation unknown | 2 |
| La Ode Ahmad Jazuli | Universitas Halu Oleo | 1 |
| Mustamin Anggo | Universitas Halu Oleo | 1 |
| Nadia Syukria | Affiliation unknown | 1 |
| Silfia Addina | Affiliation unknown | 1 |
| Dwi Sarwani Sri` Rejeki | Affiliation unknown | 1 |
| Intan Henda Ardiani | Affiliation unknown | 1 |
| Siwi Pramatama Mars Wijayanti | Affiliation unknown | 1 |
| Casmuti Casmuti | Affiliation unknown | 1 |
| Irma Zaimatuddunia | Affiliation unknown | 1 |
| Widya Hary Cahyati | Affiliation unknown | 1 |
| Dina Nur Anggraini Ningrum | Affiliation unknown | 1 |
| Henky Yoga Prasetya | Affiliation unknown | 1 |
| Abdul Hakam | Affiliation unknown | 1 |
| Alek Jusran | Affiliation unknown | 1 |
| Muhamad Irsam | Affiliation unknown | 1 |
| Irwan Budiono | Affiliation unknown | 1 |
| Intan Nurfatihah | Affiliation unknown | 1 |
| Deni Krisnamurti | Affiliation unknown | 1 |
| Bertri Maulidya Masita | Affiliation unknown | 1 |
| Dhanasari Vidiawati | Affiliation unknown | 1 |
| Yuda Turana | Affiliation unknown | 1 |
| Lily Arsanti Lestari | Affiliation unknown | 1 |
| Aurellia Ryveka | Affiliation unknown | 1 |
| Siti Helmyati | Affiliation unknown | 1 |
| Fina Cahya Hasanah | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.