Yuta Takahashi
Biographic Data
| ID | 3822732 |
|---|---|
| NAME | Yuta Takahashi |
| GIVEN NAMES | Yuta |
| FAMILY NAME | Takahashi |
| SIGNATURE | TAKAHASHI Y |
| AFFILIATIONS | Tohoku University Hospital |
| ORCID | 0000-0002-2064-4423 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Validating the Factor Structure of the Fujisawa Social Capital Scale (FSCS) Among Community-Dwelling Older Adults Participating in “Kayoi-no-ba”
Social capital is a fundamental social determinant of health for older adults in rapidly aging societies; however, existing comprehensive instruments often impose high cognitive friction through complex recall tasks, potentially leading to systematically excluding vulnerable populations. This study validated the factor structure of the Fujisawa Social Capital Scale (FSCS) - an independent, brief tool designed for inclusive community-based practic…
Pandemic, People, and Street Crime
Previous research has demonstrated that declines in street crime during the COVID-19 pandemic were associated with reduced human mobility. Whether midterm changes in human mobility—sharp reduction and gradual return to prepandemic levels—are linked to corresponding changes in street crime remains unclear, however. Moreover, whereas pandemic-related mobility shifts and the reduction in street crime vary by area types such as downtown and residenti…
Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate…
In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…
Evaluating the Effectiveness of Letter and Telephone Reminders in Promoting the Use of Specific Health Guidance in an At-Risk Population for Metabolic Syndrome in Japan
Japan has introduced a nationwide lifestyle intervention program (specific health guidance) for people aged 40-74 years. Medical insurers apply a reminder system to improve their utilization rates. This study examined the effectiveness of two methods of reminders (mailed letters and telephone calls) in a randomized controlled trial. Subscribers to National Health Insurance in Yokohama City, Kanagawa Prefecture, who were eligible for specific heal…
Message framing effects on attitude and intention toward social participation in old age
Private loss-framed messages are possibly most effective in reinforcing attitudes and intentions toward social participation, particularly among individuals without social participation experience. These findings highlight the possibility of using a message-framing approach to promote social participation in older adults
Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women
In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…
Effectiveness of an Out-of-Pocket Cost Removal Intervention on Health Check Attendance in Japan
Annual health checks are important for identifying individuals at high risk for cardiometabolic diseases. However, there are socioeconomic disparities in health check attendance rates, and an intervention to lower financial barriers could be useful for increasing health check utilization. In this study, we aimed to evaluate the effectiveness of an out-of-pocket cost removal intervention on health check attendance in Japan. Data were obtained on b…
Universal Gravity
Universal Gravity
Effectiveness of an Out-of-Pocket Cost Removal Intervention on Health Check Attendance in Japan
Annual health checks are important for identifying individuals at high risk for cardiometabolic diseases. However, there are socioeconomic disparities in health check attendance rates, and an intervention to lower financial barriers could be useful for increasing health check utilization. In this study, we aimed to evaluate the effectiveness of an out-of-pocket cost removal intervention on health check attendance in Japan. Data were obtained on b…
Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women
In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…
Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate…
In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…
Evaluating the Effectiveness of Letter and Telephone Reminders in Promoting the Use of Specific Health Guidance in an At-Risk Population for Metabolic Syndrome in Japan
Japan has introduced a nationwide lifestyle intervention program (specific health guidance) for people aged 40-74 years. Medical insurers apply a reminder system to improve their utilization rates. This study examined the effectiveness of two methods of reminders (mailed letters and telephone calls) in a randomized controlled trial. Subscribers to National Health Insurance in Yokohama City, Kanagawa Prefecture, who were eligible for specific heal…
Message framing effects on attitude and intention toward social participation in old age
Private loss-framed messages are possibly most effective in reinforcing attitudes and intentions toward social participation, particularly among individuals without social participation experience. These findings highlight the possibility of using a message-framing approach to promote social participation in older adults
Validating the Factor Structure of the Fujisawa Social Capital Scale (FSCS) Among Community-Dwelling Older Adults Participating in “Kayoi-no-ba”
Social capital is a fundamental social determinant of health for older adults in rapidly aging societies; however, existing comprehensive instruments often impose high cognitive friction through complex recall tasks, potentially leading to systematically excluding vulnerable populations. This study validated the factor structure of the Fujisawa Social Capital Scale (FSCS) - an independent, brief tool designed for inclusive community-based practic…
Pandemic, People, and Street Crime
Previous research has demonstrated that declines in street crime during the COVID-19 pandemic were associated with reduced human mobility. Whether midterm changes in human mobility—sharp reduction and gradual return to prepandemic levels—are linked to corresponding changes in street crime remains unclear, however. Moreover, whereas pandemic-related mobility shifts and the reduction in street crime vary by area types such as downtown and residenti…
Medicine (5 works) · Health and Wellbeing Research (3 works) · Internal Medicine (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Environmental health (2 works) · Gerontology (2 works) · Health Promotion and Cardiovascular Prevention (2 works) · Heart rate (2 works) · Heart rate variability (2 works)