Literature DB >> 28786290

Depressive symptoms and cognitive functioning among older adults with cancer.

Ruth T Morin1, Elizabeth Midlarsky1.   

Abstract

OBJECTIVE: The US population of older adults is growing, with an increase in diseases like cancer. As cancer rates increase, there is a concomitant increase in adverse correlates, such as cognitive impairment and depressive symptomatology. In order to develop appropriate interventions, it is vital to assess relationships among cancer, depressive symptoms and cognitive functioning.
METHODS: The sample consisted of 403 older adults with cancer diagnoses from the Health and Retirement Study. Using latent class growth analysis, longitudinal data were explored. The goals were to investigate trajectories of cognitive functioning, and to identify whether depressive symptoms and demographic factors predicted membership in the cognitive classes.
RESULTS: Three classes of cognitive functioning best fit the data: High, Middle and Low Recall, fairly stable trajectories from pre-diagnosis to a period four years after diagnosis. More depressive symptoms after diagnosis (but not prior) significantly predicted membership in the Low Recall class. Depressive symptoms did not distinguish between the High and Middle Recall classes.
CONCLUSION: Depressive symptomatology is thought to affect cognition in late life. We found that depressive symptoms after a cancer diagnosis, but not before, successfully differentiated between those who had Low Recall from those with Middle and High Recall. Implications are discussed.

Entities:  

Keywords:  Aging; cancer; cognition; depression; health

Mesh:

Year:  2017        PMID: 28786290     DOI: 10.1080/13607863.2017.1363868

Source DB:  PubMed          Journal:  Aging Ment Health        ISSN: 1360-7863            Impact factor:   3.658


  4 in total

1.  Glycated Hemoglobin and All-Cause and Cause-Specific Mortality Among Adults With and Without Diabetes.

Authors:  Fu-Rong Li; Xi-Ru Zhang; Wen-Fang Zhong; Zhi-Hao Li; Xiang Gao; Virginia Byers Kraus; Yue-Bin Lv; Meng-Chen Zou; Guo-Chong Chen; Pei-Liang Chen; Min-Yi Zhang; Akech Kuol Akech Kur; Xiao-Ming Shi; Xian-Bo Wu; Chen Mao
Journal:  J Clin Endocrinol Metab       Date:  2019-08-01       Impact factor: 5.958

2.  Global, regional, and national prevalence of depression among cancer patients: A systematic review and meta-analysis.

Authors:  Zahra Noorani Mejareh; Bahare Abdollahi; Zahra Hoseinipalangi; Melika Shamsian Jeze; Hossein Hosseinifard; Sima Rafiei; Farnaz Aghajani; Afsaneh Dehnad; Mohadeseh Fadavi Ardakani; Saba Ahmadi; Haniyeh Anbarhassani; Mahsa Tohidi Asl; Fatemeh Pashazadeh Kan; Aidin Aryankhesal; Hosein Shabaninejad; Sepideh Aghalou; Ahmad Ghashghaee
Journal:  Indian J Psychiatry       Date:  2021-12-03       Impact factor: 1.759

3.  Co-occuring symptoms in older oncology patients with distinct attentional function profiles.

Authors:  Inger Utne; Borghild Løyland; Ellen Karine Grov; Steven Paul; Melisa L Wong; Yvette P Conley; Bruce A Cooper; Jon D Levine; Christine Miaskowski
Journal:  Eur J Oncol Nurs       Date:  2019-07-02       Impact factor: 2.398

Review 4.  Brief introduction of medical database and data mining technology in big data era.

Authors:  Jin Yang; Yuanjie Li; Qingqing Liu; Li Li; Aozi Feng; Tianyi Wang; Shuai Zheng; Anding Xu; Jun Lyu
Journal:  J Evid Based Med       Date:  2020-02-22
  4 in total

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