This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1392) Ecological Momentary Assessment (EMA) (321) mHealth for Data Collection and Research (981) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (95)

Published on in Vol 7, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13247, first published .
Possible Application of Ecological Momentary Assessment to Older Adults’ Daily Depressive Mood: Integrative Literature Review

Possible Application of Ecological Momentary Assessment to Older Adults’ Daily Depressive Mood: Integrative Literature Review

Possible Application of Ecological Momentary Assessment to Older Adults’ Daily Depressive Mood: Integrative Literature Review

Authors of this article:

Heejung Kim1, 2 Author Orcid Image ;   Sunah Kim1, 2 Author Orcid Image ;   Seong Sook Kong3 Author Orcid Image ;   Yi-Rang Jeong4 Author Orcid Image ;   Hyein Kim5 Author Orcid Image ;   Namhee Kim1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Niculescu I, Quirt H, Arora T, Borsook T, Green R, Ford B, Iaboni A. Ecological Momentary Assessment of Depression in People With Advanced Dementia: Longitudinal Pilot Study. JMIR Aging 2021;4(3):e29021 View
  2. Kamath J, Barriera R, Jain N, Keisari E, Wang B. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World Journal of Psychiatry 2022;12(3):393 View
  3. Badesha K, Wilde S, Dawson D. Mental health mobile app use to manage psychological difficulties: an umbrella review. Mental Health Review Journal 2022;27(3):241 View
  4. Zuidersma M, Müller F, Snippe E, Zuidema S, Oude Voshaar R. Feasibility, usability and clinical value of intensive longitudinal diary assessments in older persons with cognitive impairment and depressive symptoms. Aging & Mental Health 2023;27(8):1466 View
  5. Hong S, Lee S, Song K, Kim M, Kim Y, Kim H, Kim H. A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study. International Journal of Nursing Studies 2023;138:104431 View
  6. Donkers A, de Vries B, Yang D, Aameri B, Poveda-Villalón M, Sanfilippo E, Terkaj W, Poveda M, Terka W. Creating occupant-centered digital twins using the Occupant Feedback Ontology implemented in a smartwatch app. Semantic Web 2024;15(2):259 View
  7. Shum E, Lau B, Cheung K, Chan C, Siu J, Luk J, Kwan J, Chan G, Pat L, Martin P. Multiple Roads to Success: A Latent Class Analysis on Successful Ageing Among Hong Kong Near-Centenarians and Centenarians (NCC). The International Journal of Aging and Human Development 2024;99(2):152 View
  8. Yao L, Yang Y, Wang Z, Pan X, Xu L. Compliance with ecological momentary assessment programmes in the elderly: a systematic review and meta-analysis. BMJ Open 2023;13(7):e069523 View
  9. Yin H, Zhu H, Gu J, Qin H, Ding W, Guo N, Fu J, Yang Y. Mobile-based ecological momentary assessment and intervention: bibliometric analysis. Frontiers in Psychiatry 2024;15 View
  10. Badal V, Campbell L, Depp C, Parrish E, Ackerman R, Moore R, Harvey P, Pinkham A. Dynamic influence of mood on subjective cognitive complaints in mild cognitive impairment: A time series network analysis approach. International Psychogeriatrics 2024:100007 View
  11. Mintz E, Toner E, Skolnik A, Pan A, Frumkin M, Baker A, Simon N, Robinaugh D. Ecological momentary assessment in prolonged grief research: Feasibility, acceptability, and measurement reactivity. Death Studies 2024:1 View