Health Related Factors Model of the Middle-Aged and Elderly People Based on Structural Equation Modeling

Ando, Shintaro; Shiraishi, Yasuyuki; Ikaga, Toshiharu; Hoshi, Tanji

doi:10.3130/aije.76.573

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…1 Ando et al investigated residents in specific areas and showed that physical and social satisfaction with one's housing and urban environment may be related to subjective health. 2 Moreover, Ando et al also compared 3 areas with different urban structure and scale and reported a difference in the relationship structure between housing and local environment and health. 3 According to the review by Tomita et al, there are cohort studies at home and abroad on the influence of regional environment on mental health and behavior such as social support, and the results demonstrate the relationship between environmental factors and mental health.…”

Section: Introductionmentioning

confidence: 99%

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Longitudinal study of housing for the promotion of health and well‐being using a covariance structure model to identify the causal relationships between satisfaction with living environment, stress, and chronic low back pain

Nagasawa

Yamaguchi

Kato

et al. 2018

Japan Architectural Review

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The purpose of this paper is to clarify the causal relationship between certain factors through longitudinal research on health and living environment. Based on a questionnaire survey administered online to 5000 Japanese women in February 2011, and a follow‐up survey of 3053 subjects undertaken in February 2013, an analysis was performed on 1575 people with a history of low back pain. First, causal relationships between 2 factors, “Chronic low back pain” and “Stress and fatigue,” were analyzed using cross‐lagged effects modeling and synchronous effects modeling. Similarly, causal relationships between 2 factors, “Stress and fatigue” and “Satisfaction with living environment,” were analyzed using the 2 models. It was revealed that “Satisfaction with living environment” affects “Stress and fatigue,” and “Stress and fatigue” affects “Chronic low back pain.” Covariance structure modeling was used to show that “Satisfaction with living environment” indirectly affects “Chronic low back pain” through “Stress and fatigue” using longitudinal data. Accordingly, it was shown that improving the satisfaction with living environment can improve health in terms of stress, fatigue, and chronic low back pain. Moreover, it was suggested that CASBEE Health Checklist 6 score (group with good housing environment) and health variables were related.

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Section: Introductionmentioning

confidence: 99%

“…Ando et al. investigated residents in specific areas and showed that physical and social satisfaction with one's housing and urban environment may be related to subjective health . Moreover, Ando et al.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal study of housing for the promotion of health and well‐being using a covariance structure model to identify the causal relationships between satisfaction with living environment, stress, and chronic low back pain

Nagasawa

Yamaguchi

Kato

et al. 2018

Japan Architectural Review

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Influence of residential performance on residents' health status: Nationwide survey of environmental performance of detached houses and residents' health status

Kawakubo

Ikaga

Murakami³

et al. 2018

Japan Architectural Review

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Previous studies have revealed the relationships between specific residential environmental factors and residents' health status. However, no study has considered the comprehensive health risk due to the overall residential environment. Therefore, a large‐scale nationwide questionnaire survey was conducted using the CASBEE Health Checklist to examine the residential environment of detached houses and residents' health status. This analysis indicated that the overall residential environment is likely an important determinant of health and was associated with disease prevalence among residents.

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Person-situation interactions as predictors of variations in attachment

Gillath,

Deboeck,

Fraley

et al. 2024

Journal of Social and Personal Relationships

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Existing work on the contribution of life events and person characteristics to changes in attachment has mostly overlooked interactions between events and characteristics. Using 15 common events and ten personality characteristics in a multi-wave longitudinal study of 6,566 people, we examined whether person characteristics moderate the impact of life events on change in attachment. Although we found more interactions than were expected by chance, they did not consistently involve specific events or person characteristics and had small effect sizes. The largest number of event-person interactions were observed for changes in attachment security, followed by anxiety and avoidance. We found a similar number of interactions between events and within-person variation in person characteristics and “traditional” PxE interactions where the person characteristics are stable. These results suggest the need to look at both the traditional PxE interactions and the way dynamically varying person characteristics interact with events to understand changes in attachment.

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Health Related Factors Model of the Middle-Aged and Elderly People Based on Structural Equation Modeling

Cited by 3 publications

References 10 publications

Longitudinal study of housing for the promotion of health and well‐being using a covariance structure model to identify the causal relationships between satisfaction with living environment, stress, and chronic low back pain

Longitudinal study of housing for the promotion of health and well‐being using a covariance structure model to identify the causal relationships between satisfaction with living environment, stress, and chronic low back pain

Influence of residential performance on residents' health status: Nationwide survey of environmental performance of detached houses and residents' health status

Person-situation interactions as predictors of variations in attachment

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