TY - JOUR
T1 - Daily Household Electricity Consumption in Community-Dwelling Older Individuals With Cognitive Impairment
T2 - Prospective Cohort Study
AU - Nakagawa, Yuki
AU - Tanabe, Shigeo
AU - Kondo, Hikaru
AU - Tan, Koki
AU - Koyama, Soichiro
AU - Kitamura, Shin
AU - Kada, Akiko
AU - Ishihara, Takuma
AU - Yamamoto, Takuaki
AU - Denda, Junya
AU - Kimata, Hideaki
AU - Yamanaka, Taisuke
AU - Umezawa, Ryosuke
AU - Nakahashi, Yoshinobu
AU - Otaka, Yohei
N1 - Publisher Copyright:
© Yuki Nakagawa, Shigeo Tanabe, Hikaru Kondo, Koki Tan, Soichiro Koyama, Shin Kitamura, Akiko Kada, Takuma Ishihara, Takuaki Yamamoto, Junya Denda, Hideaki Kimata, Taisuke Yamanaka, Ryosuke Umezawa, Yoshinobu Nakahashi, Yohei Otaka.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - detection
KW - digital biomarker
KW - nonwearable device
KW - prevention
KW - screening
KW - sensor
KW - smart meter
KW - thermal sensitivity
UR - https://www.scopus.com/pages/publications/105018942681
UR - https://www.scopus.com/pages/publications/105018942681#tab=citedBy
U2 - 10.2196/71265
DO - 10.2196/71265
M3 - Article
AN - SCOPUS:105018942681
SN - 2561-326X
VL - 9
JO - JMIR Formative Research
JF - JMIR Formative Research
M1 - e71265
ER -