Co-Occurrence of Depression Among Adults with ADHD and Cognitive Impairment

The study’s main objective is to explore the relationship between adult attention deficit hyperactivity disorder (ADHD) and cognitive impairment and the possible co-existing depressive symptoms because of these two disorders. A sample of 174 patients diagnosed with attention deficit hyperactivity disorder (male, n = 76; female, n = 98) was selected through purposive sampling techniques from various hospitals and psychiatric clinics in Mansehra and Haripur (KPK) cities. Results revealed that female participants secured higher scores on ADHD than males whereas female patients scored higher on the CFI and depression scale as compared to males. Regression analysis predicted a positive relationship between depression and ADHD, and depression. Regarding gender, the result shows that ADHD, cognitive failures, and depression have a significant intercorrelation with each other among the patients. The regression coefficients for gender (β = 4.587) and ADHD (β = 0.170) are statistically significant at α = 0.05, except for cognitive impairment (β = -0.033). ADHD and gender have a positive relationship with depression or predict depression while Cognitive Impairment (β = -.033) has a negative relation or does not predict depression. The study promotes guidelines to the researchers to investigate various unidentified aspects of ADHD and depression in the context of cognitive impairment.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-01
DOI
https://doi.org/10.5281/zenodo.15320255
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Co-Occurrence of Depression Among Adults with ADHD and Cognitive Impairment

Zenodo (CERN European Organization for Nuclear Research)
Attention Deficit Hyperactivity Disorder
article

Co-Occurrence of Depression Among Adults with ADHD and Cognitive Impairment

article en

Abstract

The study’s main objective is to explore the relationship between adult attention deficit hyperactivity disorder (ADHD) and cognitive impairment and the possible co-existing depressive symptoms because of these two disorders. A sample of 174 patients diagnosed with attention deficit hyperactivity disorder (male, n = 76; female, n = 98) was selected through purposive sampling techniques from various hospitals and psychiatric clinics in Mansehra and Haripur (KPK) cities. Results revealed that female participants secured higher scores on ADHD than males whereas female patients scored higher on the CFI and depression scale as compared to males. Regression analysis predicted a positive relationship between depression and ADHD, and depression. Regarding gender, the result shows that ADHD, cognitive failures, and depression have a significant intercorrelation with each other among the patients. The regression coefficients for gender (β = 4.587) and ADHD (β = 0.170) are statistically significant at α = 0.05, except for cognitive impairment (β = -0.033). ADHD and gender have a positive relationship with depression or predict depression while Cognitive Impairment (β = -.033) has a negative relation or does not predict depression. The study promotes guidelines to the researchers to investigate various unidentified aspects of ADHD and depression in the context of cognitive impairment.

Zenodo (CERN European Organization for Nuclear Research)
Hazara University (PK), Northern University (PK)
Openalex Percentile: Top 47%
Attention Deficit Hyperactivity Disorder
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.