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<ArticleSet>
<Article>
<Journal>
				<PublisherName>West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.</PublisherName>
				<JournalTitle>Asian Pacific Journal of Cancer Prevention</JournalTitle>
				<Issn>1513-7368</Issn>
				<Volume>25</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analyzing Depressive Symptoms Among Elderly Cancer Patients: A Comprehensive Examination of Demographic and Medical Correlates</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1271</FirstPage>
			<LastPage>1276</LastPage>
			<ELocationID EIdType="pii">91093</ELocationID>
			
<ELocationID EIdType="doi">10.31557/APJCP.2024.25.4.1271</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Rami </FirstName>
					<LastName>Hejase</LastName>
<Affiliation>Faculty of Sciences, Al Maaref University, Beirut, Lebanon.</Affiliation>
<Identifier Source="ORCID">0009-0007-5678-1749</Identifier>

</Author>
<Author>
					<FirstName>Ahmad Mahmoud</FirstName>
					<LastName>Saleh</LastName>
<Affiliation>Department of Nursing, College of Applied Medical Sciences, to be Nursing College, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.</Affiliation>

</Author>
<Author>
					<FirstName>Hassanat R.</FirstName>
					<LastName>Abdel-Aziz</LastName>
<Affiliation>Department of Nursing, College of Applied Medical Sciences, Prince
Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.</Affiliation>
<Identifier Source="ORCID">0000-0001-9162-772X</Identifier>

</Author>
<Author>
					<FirstName>Arule </FirstName>
					<LastName>Vellaiyan</LastName>
<Affiliation>Department of Nursing, College of Applied Medical Sciences, Prince
Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.</Affiliation>
<Identifier Source="ORCID">0000-0001-5363-2472</Identifier>

</Author>
<Author>
					<FirstName>Ahmad Khaleel</FirstName>
					<LastName>Al Omari</LastName>
<Affiliation>Department of Biomedical Technology, College of Applied
Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Riyadh, Saudi Arabia.</Affiliation>
<Identifier Source="ORCID">0000-0001-6510-1986</Identifier>

</Author>
<Author>
					<FirstName>Abrar Ahmad</FirstName>
					<LastName>Al Omari</LastName>
<Affiliation>Faculty of Medicine, Aqaba
Medical Sciences University, Aqaba 77110, Jordan.</Affiliation>
<Identifier Source="ORCID">0009-0006-2563-0756</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>10</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>Objective: This study aimed to explore the relationship between depressive symptoms and demographic as well as health-related variables in elderly individuals diagnosed with cancer. Methods: A cohort of 50 elderly cancer patients participated in the study. Data collection involved the completion of surveys and assessments encompassing demographic characteristics, medical profiles, levels of depression, cognitive functioning, activities of daily living, and perceived social support. Results: Findings revealed that among the elderly participants, 45% experienced mild depression, 20% exhibited moderate depression, and 5% showed severe depression. Depression levels were found to be linked to marital status (P = 0.03), with widowed individuals reporting the highest depression rates (80%) and single individuals reporting the lowest (4%). Living arrangements were significantly associated with depression (P = 0.012), with participants cohabiting with their partner and children showing lower depression rates (6%) compared to those living solely with their children (40%). Additionally, depression showed a significant correlation with income (P = 0.01), as individuals reporting insufficient income for living expenses displayed higher levels of depression (58%). Furthermore, depression was notably linked to chronic health conditions like diabetes and respiratory ailments (P = .023), with individuals grappling with respiratory issues reporting the highest depression scores. Conclusion: Recognizing and addressing factors such as marital status, living situation, income level, and the presence of chronic illnesses hold the potential for healthcare professionals to tailor interventions effectively to meet the specific requirements of this vulnerable demographic. This tailored approach has the capability to contribute significantly to enhancing the overall well-being and mental health outcomes of elderly cancer patients.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">depressive symptoms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">geriatric oncology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">oncology nursing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">psycho-social factors</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://journal.waocp.org/article_91093_f99fb74a52e27e055838284147629bb4.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
