Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling
Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country...
Gespeichert in:
| Veröffentlicht in: | PloS one 2023-10, Vol.18 (10), p.e0291137-e0291137 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0291137 |
|---|---|
| container_issue | 10 |
| container_start_page | e0291137 |
| container_title | PloS one |
| container_volume | 18 |
| creator | Tilahun, Werkneh Melkie Wolde, Haileab Fekadu Gebreegziabher, Zenebe Abebe Abebaw, Wondwosen Abey Simegn, Mulat Belay Tadesse, Asefa Adimasu |
| description | Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country. Therefore, the current study assessed the magnitude, relationship, and determinants of ADHD and depressive symptoms among students at the University of Gondar. An institution-based cross-sectional study was employed among 1514 undergraduate students at the University of Gondar from June 1-20, 2022. A stratified, simple random sampling technique was applied. Structural equation modeling was employed. The degree of relationship was interpreted based on the adjusted regression coefficient with 95% confidence interval (CI) and p-value ( |
| doi_str_mv | 10.1371/journal.pone.0291137 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2873244598</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A767847140</galeid><doaj_id>oai_doaj_org_article_292e7f33b50547ae901016ffd714f839</doaj_id><sourcerecordid>A767847140</sourcerecordid><originalsourceid>FETCH-LOGICAL-c670t-8655b930756aebe8cbf66a5165cca66d6855e5304c15ec0d22e8a4821be15cd23</originalsourceid><addsrcrecordid>eNqNk1Fr1TAUx4soOKffQDAgiMLuNUmbtNcXGWPOwXSgzteQm5y2GW3SJenV-1n9MqZ3VXZlD9KHlnN-53_-5zTJsucEL0lekrfXbvRWdsvBWVhiuiIp-iA7IKucLjjF-cM734-zJyFcY8zyivOD7Ncn2VgTRw1HyEMno3E2tGZA0mqkIYLvjZU2BuRqJGMEOxEpUxtlImq3A3ipotmYuEXaBOc1-Ll48BDCRMve2QZdWbMBHyYwaZ05q6VHo01846UeZQQUJiOp2RH67Hxsf0CI6DS2xg1GHiGKKX2XMnbhQY1JaTNV-FHF0csOwc24s496p6EztnmaPaplF-DZ_D7Mrj6cfjv5uLi4PDs_Ob5YKF7iuKg4Y-tVjkvGJayhUuuac8kIZ0pJzjWvGAOW40IRBgprSqGSRUXJGghTmuaH2Ytb3aFzQcw_IwhalTktCraqEnF-S2gnr8XgTS_9VjhpxC7gfCOkj0Z1IOiKQlnn-ZphVpQSVphgwutal6Soq3yVtN7P3cZ1D1qlfaXp90T3M9a0onEbQTBjydDk9_Ws4N3NmHYsehMUdJ204Mad8YJyyosyoS__Qe8fb6YamSYwtnapsZpExXHJy6pI3nGilvdQ6dHQG5WObm1SfK_gzV5BYiL8jI0cQxDnX7_8P3v5fZ99dYdtQXaxDa4bd2d_HyxuQeVdCB7qv1smWEw37882xHTzxHzz8t-F1iat</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2873244598</pqid></control><display><type>article</type><title>Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Tilahun, Werkneh Melkie ; Wolde, Haileab Fekadu ; Gebreegziabher, Zenebe Abebe ; Abebaw, Wondwosen Abey ; Simegn, Mulat Belay ; Tadesse, Asefa Adimasu</creator><contributor>Shallo, Seifadin Ahmed</contributor><creatorcontrib>Tilahun, Werkneh Melkie ; Wolde, Haileab Fekadu ; Gebreegziabher, Zenebe Abebe ; Abebaw, Wondwosen Abey ; Simegn, Mulat Belay ; Tadesse, Asefa Adimasu ; Shallo, Seifadin Ahmed</creatorcontrib><description>Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country. Therefore, the current study assessed the magnitude, relationship, and determinants of ADHD and depressive symptoms among students at the University of Gondar. An institution-based cross-sectional study was employed among 1514 undergraduate students at the University of Gondar from June 1-20, 2022. A stratified, simple random sampling technique was applied. Structural equation modeling was employed. The degree of relationship was interpreted based on the adjusted regression coefficient with 95% confidence interval (CI) and p-value (<0.05). In our study, 37.6% [CI: 35.2-40.1%] and 20.01% [CI: 18.1-22.1%] of the participants had depressive and ADHD symptoms, respectively. Chronic illness [[beta] = 0.19, CI; 0.09, 0.30], alcohol use [[beta] = 0.10, CI; 0.03, 0.17], social support [[beta] = -0.23, CI; -0.29, -0.17], problematic internet use (PIU) [[beta] = 0.23, CI; 0.18, 0.27], and insomnia [[beta] = 0.24, CI; 0.17, 0.30] had a direct relationship with depressive symptoms. Mother education level [[beta] = -0.09, CI; -0.13, -0.06], birth order [[beta] = -0.09, CI; -0.11, -0.07], chat chewing [[beta] = 0.18, CI; 0.06, 0.30], and depressive symptoms [[beta] = 0.73, CI; 0.62, 0.86] had a direct relationship with ADHD. Chronic illness [[beta] = 0.14, CI; 0.06, 0.22], PIU [[beta] = 0.16, CI; 0.13, 0.21], social support [[beta] = -0.16, CI; -0.22, -0.12], and insomnia [[beta] = 0.17, CI; 0.13, 0.23] had an indirect effect on ADHD. The prevalence of ADHD and depressive symptoms was high. Chronic disease, alcohol use, social support, PIU, and insomnia had a direct effect on depressive symptoms and an indirect effect on ADHD. Mother education, birth order, chat chewing, and depressive symptoms had a direct effect on ADHD. Our study provided useful clues for clinical treatment and school-based interventions that aim to improve college students' mental well-being. It is better to design school-based intervention and prevention programs to achieve timely diagnosis and treatment of these disorders among university students.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0291137</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Alcohol use ; Analysis ; Attention deficit hyperactivity disorder ; Biology and Life Sciences ; Chewing ; Chronic diseases ; College students ; Colleges & universities ; Comorbidity ; Computer and Information Sciences ; Confidence intervals ; Depression, Mental ; Diagnosis ; Education ; Health aspects ; Health services ; Illnesses ; Insomnia ; Internet ; Mastication ; Medical colleges ; Medicine and Health Sciences ; Mental depression ; Mental disorders ; Modelling ; Multivariate statistical analysis ; Physical Sciences ; Psychological aspects ; Random sampling ; Regression coefficients ; Risk factors ; Sampling techniques ; Signs and symptoms ; Sleep disorders ; Social interactions ; Social Sciences ; Statistical analysis ; Statistical sampling ; Structural equation modeling ; Students ; Undergraduate study ; Well being</subject><ispartof>PloS one, 2023-10, Vol.18 (10), p.e0291137-e0291137</ispartof><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Tilahun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Tilahun et al 2023 Tilahun et al</rights><rights>2023 Tilahun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c670t-8655b930756aebe8cbf66a5165cca66d6855e5304c15ec0d22e8a4821be15cd23</citedby><cites>FETCH-LOGICAL-c670t-8655b930756aebe8cbf66a5165cca66d6855e5304c15ec0d22e8a4821be15cd23</cites><orcidid>0000-0001-8206-4195</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553242/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553242/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids></links><search><contributor>Shallo, Seifadin Ahmed</contributor><creatorcontrib>Tilahun, Werkneh Melkie</creatorcontrib><creatorcontrib>Wolde, Haileab Fekadu</creatorcontrib><creatorcontrib>Gebreegziabher, Zenebe Abebe</creatorcontrib><creatorcontrib>Abebaw, Wondwosen Abey</creatorcontrib><creatorcontrib>Simegn, Mulat Belay</creatorcontrib><creatorcontrib>Tadesse, Asefa Adimasu</creatorcontrib><title>Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling</title><title>PloS one</title><description>Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country. Therefore, the current study assessed the magnitude, relationship, and determinants of ADHD and depressive symptoms among students at the University of Gondar. An institution-based cross-sectional study was employed among 1514 undergraduate students at the University of Gondar from June 1-20, 2022. A stratified, simple random sampling technique was applied. Structural equation modeling was employed. The degree of relationship was interpreted based on the adjusted regression coefficient with 95% confidence interval (CI) and p-value (<0.05). In our study, 37.6% [CI: 35.2-40.1%] and 20.01% [CI: 18.1-22.1%] of the participants had depressive and ADHD symptoms, respectively. Chronic illness [[beta] = 0.19, CI; 0.09, 0.30], alcohol use [[beta] = 0.10, CI; 0.03, 0.17], social support [[beta] = -0.23, CI; -0.29, -0.17], problematic internet use (PIU) [[beta] = 0.23, CI; 0.18, 0.27], and insomnia [[beta] = 0.24, CI; 0.17, 0.30] had a direct relationship with depressive symptoms. Mother education level [[beta] = -0.09, CI; -0.13, -0.06], birth order [[beta] = -0.09, CI; -0.11, -0.07], chat chewing [[beta] = 0.18, CI; 0.06, 0.30], and depressive symptoms [[beta] = 0.73, CI; 0.62, 0.86] had a direct relationship with ADHD. Chronic illness [[beta] = 0.14, CI; 0.06, 0.22], PIU [[beta] = 0.16, CI; 0.13, 0.21], social support [[beta] = -0.16, CI; -0.22, -0.12], and insomnia [[beta] = 0.17, CI; 0.13, 0.23] had an indirect effect on ADHD. The prevalence of ADHD and depressive symptoms was high. Chronic disease, alcohol use, social support, PIU, and insomnia had a direct effect on depressive symptoms and an indirect effect on ADHD. Mother education, birth order, chat chewing, and depressive symptoms had a direct effect on ADHD. Our study provided useful clues for clinical treatment and school-based interventions that aim to improve college students' mental well-being. It is better to design school-based intervention and prevention programs to achieve timely diagnosis and treatment of these disorders among university students.</description><subject>Alcohol use</subject><subject>Analysis</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Biology and Life Sciences</subject><subject>Chewing</subject><subject>Chronic diseases</subject><subject>College students</subject><subject>Colleges & universities</subject><subject>Comorbidity</subject><subject>Computer and Information Sciences</subject><subject>Confidence intervals</subject><subject>Depression, Mental</subject><subject>Diagnosis</subject><subject>Education</subject><subject>Health aspects</subject><subject>Health services</subject><subject>Illnesses</subject><subject>Insomnia</subject><subject>Internet</subject><subject>Mastication</subject><subject>Medical colleges</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Modelling</subject><subject>Multivariate statistical analysis</subject><subject>Physical Sciences</subject><subject>Psychological aspects</subject><subject>Random sampling</subject><subject>Regression coefficients</subject><subject>Risk factors</subject><subject>Sampling techniques</subject><subject>Signs and symptoms</subject><subject>Sleep disorders</subject><subject>Social interactions</subject><subject>Social Sciences</subject><subject>Statistical analysis</subject><subject>Statistical sampling</subject><subject>Structural equation modeling</subject><subject>Students</subject><subject>Undergraduate study</subject><subject>Well being</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1Fr1TAUx4soOKffQDAgiMLuNUmbtNcXGWPOwXSgzteQm5y2GW3SJenV-1n9MqZ3VXZlD9KHlnN-53_-5zTJsucEL0lekrfXbvRWdsvBWVhiuiIp-iA7IKucLjjF-cM734-zJyFcY8zyivOD7Ncn2VgTRw1HyEMno3E2tGZA0mqkIYLvjZU2BuRqJGMEOxEpUxtlImq3A3ipotmYuEXaBOc1-Ll48BDCRMve2QZdWbMBHyYwaZ05q6VHo01846UeZQQUJiOp2RH67Hxsf0CI6DS2xg1GHiGKKX2XMnbhQY1JaTNV-FHF0csOwc24s496p6EztnmaPaplF-DZ_D7Mrj6cfjv5uLi4PDs_Ob5YKF7iuKg4Y-tVjkvGJayhUuuac8kIZ0pJzjWvGAOW40IRBgprSqGSRUXJGghTmuaH2Ytb3aFzQcw_IwhalTktCraqEnF-S2gnr8XgTS_9VjhpxC7gfCOkj0Z1IOiKQlnn-ZphVpQSVphgwutal6Soq3yVtN7P3cZ1D1qlfaXp90T3M9a0onEbQTBjydDk9_Ws4N3NmHYsehMUdJ204Mad8YJyyosyoS__Qe8fb6YamSYwtnapsZpExXHJy6pI3nGilvdQ6dHQG5WObm1SfK_gzV5BYiL8jI0cQxDnX7_8P3v5fZ99dYdtQXaxDa4bd2d_HyxuQeVdCB7qv1smWEw37882xHTzxHzz8t-F1iat</recordid><startdate>20231005</startdate><enddate>20231005</enddate><creator>Tilahun, Werkneh Melkie</creator><creator>Wolde, Haileab Fekadu</creator><creator>Gebreegziabher, Zenebe Abebe</creator><creator>Abebaw, Wondwosen Abey</creator><creator>Simegn, Mulat Belay</creator><creator>Tadesse, Asefa Adimasu</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8206-4195</orcidid></search><sort><creationdate>20231005</creationdate><title>Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling</title><author>Tilahun, Werkneh Melkie ; Wolde, Haileab Fekadu ; Gebreegziabher, Zenebe Abebe ; Abebaw, Wondwosen Abey ; Simegn, Mulat Belay ; Tadesse, Asefa Adimasu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c670t-8655b930756aebe8cbf66a5165cca66d6855e5304c15ec0d22e8a4821be15cd23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alcohol use</topic><topic>Analysis</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Biology and Life Sciences</topic><topic>Chewing</topic><topic>Chronic diseases</topic><topic>College students</topic><topic>Colleges & universities</topic><topic>Comorbidity</topic><topic>Computer and Information Sciences</topic><topic>Confidence intervals</topic><topic>Depression, Mental</topic><topic>Diagnosis</topic><topic>Education</topic><topic>Health aspects</topic><topic>Health services</topic><topic>Illnesses</topic><topic>Insomnia</topic><topic>Internet</topic><topic>Mastication</topic><topic>Medical colleges</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Modelling</topic><topic>Multivariate statistical analysis</topic><topic>Physical Sciences</topic><topic>Psychological aspects</topic><topic>Random sampling</topic><topic>Regression coefficients</topic><topic>Risk factors</topic><topic>Sampling techniques</topic><topic>Signs and symptoms</topic><topic>Sleep disorders</topic><topic>Social interactions</topic><topic>Social Sciences</topic><topic>Statistical analysis</topic><topic>Statistical sampling</topic><topic>Structural equation modeling</topic><topic>Students</topic><topic>Undergraduate study</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tilahun, Werkneh Melkie</creatorcontrib><creatorcontrib>Wolde, Haileab Fekadu</creatorcontrib><creatorcontrib>Gebreegziabher, Zenebe Abebe</creatorcontrib><creatorcontrib>Abebaw, Wondwosen Abey</creatorcontrib><creatorcontrib>Simegn, Mulat Belay</creatorcontrib><creatorcontrib>Tadesse, Asefa Adimasu</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tilahun, Werkneh Melkie</au><au>Wolde, Haileab Fekadu</au><au>Gebreegziabher, Zenebe Abebe</au><au>Abebaw, Wondwosen Abey</au><au>Simegn, Mulat Belay</au><au>Tadesse, Asefa Adimasu</au><au>Shallo, Seifadin Ahmed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling</atitle><jtitle>PloS one</jtitle><date>2023-10-05</date><risdate>2023</risdate><volume>18</volume><issue>10</issue><spage>e0291137</spage><epage>e0291137</epage><pages>e0291137-e0291137</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Up to 80% of adults with attention deficit hyperactivity disorder (ADHD) may have a concomitant psychiatric disorder. ADHD and depression, combined with the demands of University life, can pose serious challenges for students. However, there are limited studies conducted on this topic in our country. Therefore, the current study assessed the magnitude, relationship, and determinants of ADHD and depressive symptoms among students at the University of Gondar. An institution-based cross-sectional study was employed among 1514 undergraduate students at the University of Gondar from June 1-20, 2022. A stratified, simple random sampling technique was applied. Structural equation modeling was employed. The degree of relationship was interpreted based on the adjusted regression coefficient with 95% confidence interval (CI) and p-value (<0.05). In our study, 37.6% [CI: 35.2-40.1%] and 20.01% [CI: 18.1-22.1%] of the participants had depressive and ADHD symptoms, respectively. Chronic illness [[beta] = 0.19, CI; 0.09, 0.30], alcohol use [[beta] = 0.10, CI; 0.03, 0.17], social support [[beta] = -0.23, CI; -0.29, -0.17], problematic internet use (PIU) [[beta] = 0.23, CI; 0.18, 0.27], and insomnia [[beta] = 0.24, CI; 0.17, 0.30] had a direct relationship with depressive symptoms. Mother education level [[beta] = -0.09, CI; -0.13, -0.06], birth order [[beta] = -0.09, CI; -0.11, -0.07], chat chewing [[beta] = 0.18, CI; 0.06, 0.30], and depressive symptoms [[beta] = 0.73, CI; 0.62, 0.86] had a direct relationship with ADHD. Chronic illness [[beta] = 0.14, CI; 0.06, 0.22], PIU [[beta] = 0.16, CI; 0.13, 0.21], social support [[beta] = -0.16, CI; -0.22, -0.12], and insomnia [[beta] = 0.17, CI; 0.13, 0.23] had an indirect effect on ADHD. The prevalence of ADHD and depressive symptoms was high. Chronic disease, alcohol use, social support, PIU, and insomnia had a direct effect on depressive symptoms and an indirect effect on ADHD. Mother education, birth order, chat chewing, and depressive symptoms had a direct effect on ADHD. Our study provided useful clues for clinical treatment and school-based interventions that aim to improve college students' mental well-being. It is better to design school-based intervention and prevention programs to achieve timely diagnosis and treatment of these disorders among university students.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><doi>10.1371/journal.pone.0291137</doi><tpages>e0291137</tpages><orcidid>https://orcid.org/0000-0001-8206-4195</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2023-10, Vol.18 (10), p.e0291137-e0291137 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2873244598 |
| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Alcohol use Analysis Attention deficit hyperactivity disorder Biology and Life Sciences Chewing Chronic diseases College students Colleges & universities Comorbidity Computer and Information Sciences Confidence intervals Depression, Mental Diagnosis Education Health aspects Health services Illnesses Insomnia Internet Mastication Medical colleges Medicine and Health Sciences Mental depression Mental disorders Modelling Multivariate statistical analysis Physical Sciences Psychological aspects Random sampling Regression coefficients Risk factors Sampling techniques Signs and symptoms Sleep disorders Social interactions Social Sciences Statistical analysis Statistical sampling Structural equation modeling Students Undergraduate study Well being |
| title | Magnitude, relationship and determinants of attention deficit hyperactivity disorder and depression among University of Gondar undergraduate students, Northwest Ethiopia, 2022: Non-recursive structural equation modeling |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T17%3A03%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Magnitude,%20relationship%20and%20determinants%20of%20attention%20deficit%20hyperactivity%20disorder%20and%20depression%20among%20University%20of%20Gondar%20undergraduate%20students,%20Northwest%20Ethiopia,%202022:%20Non-recursive%20structural%20equation%20modeling&rft.jtitle=PloS%20one&rft.au=Tilahun,%20Werkneh%20Melkie&rft.date=2023-10-05&rft.volume=18&rft.issue=10&rft.spage=e0291137&rft.epage=e0291137&rft.pages=e0291137-e0291137&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0291137&rft_dat=%3Cgale_plos_%3EA767847140%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2873244598&rft_id=info:pmid/&rft_galeid=A767847140&rft_doaj_id=oai_doaj_org_article_292e7f33b50547ae901016ffd714f839&rfr_iscdi=true |