Evidence map›Paper›PMID 40497453›Full record

ArticlePsychogeriatrics : the official journal of the Japanese Psychogeriatric Society2025

Effect of Self-Quantification on Caregiver Burden and Depression Among Family Caregivers: A SWING-Japan Study.

Satoko Fujihara, Tomoko Wakui, Taishi Tsuji, Yoko Moriyama, Takeshi Nakagawa, Shuichi Obuchi, Shuichi Awata, Ichiro Kai

Abstract read
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Article in Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Satoko FujiharaTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9835-6555
Tomoko WakuiTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.ORCID https://orcid.org/0009-0007-2196-115X
Taishi TsujiInstitute of Health and Sport Sciences, University of Tsukuba, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8408-6619
Yoko MoriyamaNational Institute of Public Health, Saitama, Japan.
Takeshi NakagawaGraduate School of Human Sciences, The University of Osaka, Osaka, Japan.ORCID https://orcid.org/0000-0001-5533-3169
Shuichi ObuchiTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
Shuichi AwataTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
Ichiro KaiUniversity of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7883-7383

Funding

a grant from the Smart Watch Innovation for Next Geriatrics & Gerontology (SWING-JAPAN) program, sponsored by the Tokyo Metropolitan Governmentthe JSPS Grants-in-Aid for Scientific Research 21H03282the JSPS Grants-in-Aid for Scientific Research 23K21580
6 · The paper itself

Abstract

backgroundSelf-quantification (SQ) tools, which enable individuals to track and reflect on health-related data, show promise for improving caregivers' mental health. However, their effectiveness in reducing caregiver burden and depression remains largely underexplored. This study aimed to evaluate whether the Caregiving Visualisation Project (CARE-VIP), which incorporates SQ tools, reduces caregiver burden and depression.

methodsA web-based survey was conducted among family caregivers providing care to individuals aged 65 years or older living at home and certified under the Japanese long-term care insurance system. Participants were recruited through an Internet research company. After completing the baseline survey, the participants were invited to join the CARE-VIP program. Among them, those who chose to participate in CARE-VIP used the SQ tool twice a day for 60 days to complete surveys on caregiving activities, health status and mood and wore an actigraph device to continuously record sleep and physical activity, such as step counts, throughout the day and night. Those who chose not to participate in CARE-VIP completed only the follow-up survey. A total of 1628 caregivers who completed both baseline and follow-up surveys were included in the analysis. We assessed caregiver burden using the Japanese Zarit Caregiver Burden Interview (J-ZBI-8) and depression measured using the Center for Epidemiologic Studies Depression Scale (CES-D-11). A multivariate regression analysis, adjusted for caregiver and care recipient factors, was conducted utilising inverse probability weighting to compare the outcomes between groups.

resultsA total of 187 (11.5%) CARE-VIP participants demonstrated significant reductions in caregiver burden (B: -2.63, 95% CI: -3.96 to -1.29) and depression (B: -1.73, 95% CI: -2.79 to -0.68) compared to non-CARE-VIP participants.

conclusionsThe CARE-VIP program effectively reduced caregiver burden and depression. These findings suggest that SQ tools may support caregivers' mental health by facilitating daily recording and monitoring of caregiving experiences.

Indexed as

Caregiver BurdenCaregiversCost of IllnessDepressionAgedAged, 80 and overFemaleHumansJapanMaleMiddle AgedSurveys and Questionnairescaregiver burdendepressionfamily caregiverinverse probability treatment weightingself‐quantification

Identifiers

PMID40497453
PMCPMC12153023

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.