Evidence map›Paper›PMID 41100631›Full record

ArticleJMIR formative research2025

Daily Household Electricity Consumption in Community-Dwelling Older Individuals With Cognitive Impairment: Prospective Cohort Study.

Yuki Nakagawa, Shigeo Tanabe, Hikaru Kondo, Koki Tan, Soichiro Koyama, Shin Kitamura, Akiko Kada, Takuma Ishihara, Takuaki Yamamoto, Junya Denda and 5 more

Abstract read
In one paragraph

Article in JMIR formative research, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yuki NakagawaDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1101, Japan, +81-562-93-2167.ORCID 0009-0009-3396-1434
Shigeo TanabeFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.ORCID 0000-0003-1993-5896
Hikaru KondoDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1101, Japan, +81-562-93-2167.ORCID 0000-0002-2410-6411
Koki TanDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1101, Japan, +81-562-93-2167.ORCID 0009-0000-8365-8606
Soichiro KoyamaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.ORCID 0000-0001-5837-8477
Shin KitamuraFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan.ORCID 0000-0002-4442-0854
Akiko KadaCenter for Translational Research, Fujita Health University, Toyoake, Japan.ORCID 0000-0001-6350-5389
Takuma IshiharaInnovative and Clinical Research Promotion Center, Gifu University, Gifu, Japan.ORCID 0000-0002-1979-8310
Takuaki YamamotoChubu Electric Power Co Inc, Nagoya, Japan.ORCID 0009-0000-6142-6986
Junya DendaChubu Electric Power Co Inc, Nagoya, Japan.ORCID 0009-0001-6731-3664
Hideaki KimataNecolico LLC, Chiyoda-ku, Japan.ORCID 0009-0000-2175-028X
Taisuke YamanakaNecolico LLC, Chiyoda-ku, Japan.ORCID 0009-0007-3539-6905
Ryosuke UmezawaNecolico LLC, Chiyoda-ku, Japan.ORCID 0009-0001-0525-286X
Yoshinobu NakahashiJapan Data Science Consortium Co. Ltd., Bunkyo-ku, Japan.ORCID 0009-0003-4461-264X
Yohei OtakaDepartment of Rehabilitation Medicine, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1101, Japan, +81-562-93-2167.ORCID 0000-0002-6797-2782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Various digital biomarkers have been explored to detect cognitive impairment in community-dwelling older individuals, among which electricity consumption (EC) data obtained from smart meters are novel and promising because they pose no burden to the individuals. Objective: The study aimed to explore the potential of EC as a digital biomarker to screen older individuals with cognitive impairment living alone. Methods: We recruited 40 older individuals living alone and recorded their 1-year daily household EC data. We used the Japanese version of the Montreal Cognitive Assessment to categorize participants into 2 groups: those with and without cognitive impairment. As the pattern of daily household EC is different between lower and higher temperature ranges because of the use of heating and cooling equipment, we divided the daily household EC into 3 temperature ranges. Using a linear mixed model, we evaluated the association between daily household EC, daily outside temperature, and the groups. Results: After excluding 12 participants, they were categorized into 2 groups: those with (10/28, 36%) and without cognitive impairment (18/28, 64%). The daily household EC data consisting of 9391 points showed two characteristics: (1) daily household EC was significantly lower in the group with cognitive impairment than in the group without cognitive impairment in the high temperature range (2.158 kWh at 25 °C, P=.02; 3.712 kWh at 30 °C, P<.001). The increase in EC with rising temperature from 25 °C to 30 °C was less in the group with cognitive impairment (2.387 kWh, P<.001) than in the group without cognitive impairment (3.940 kWh, P<.001); and (2) a tendency for lower daily household EC in the group with cognitive impairment was observed in the moderate temperature range (1.795 kWh at 15 °C, P=.06; 1.582 kWh at 20 °C, P=.08). Conclusions: The group with cognitive impairment may use less cooling equipment in the high temperature range and fewer home appliances in the moderate temperature range. Daily household EC might be useful in screening cognitive impairment in older individuals living alone.

Indexed as

Cognitive DysfunctionElectricityIndependent LivingAgedAged, 80 and overFamily CharacteristicsFemaleHumansJapanMaleProspective Studiesdetectiondigital biomarkernonwearable devicepreventionscreeningsensorsmart meterthermal sensitivity

Identifiers

PMID41100631
PMCPMC12530452

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Registered trials

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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.