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This study investigated the application of lag sequential analysis in characterizing the interactions between elderly caregivers and their use of space and furniture in modern family settings. This research focused on the caregiving behaviors of elderly individuals in dual-earner families in China, who are increasingly responsible for caring for grandchildren. It sought to inform the design of more livable and human-centered home environments. Societal changes have led to changes in family structures and caregiving responsibilities. Understanding how home design and furniture placement affect older people’s daily lives and caregiving activities is imperative. A 14-day non-participatory observation was conducted in two households using Noldus the Observer XT. Data were collected on feeding, playing, resting, and other caregiving activities, and lag sequential analysis was used to identify significant sequences of behaviors and their interactions with space and furniture. Results showed that home design and furniture placement significantly influenced grandparents’ caregiving behaviors. Inadequate layouts and inappropriately sized furniture exacerbated caregiving difficulties and hindered daily tasks. The frequent use of furniture, particularly during critical care moments, underscored its importance. The study emphasizes the urgent need for human-centered home designs that address the specific needs of older caregivers. By optimizing layouts, adapting furniture, and incorporating assistive devices, we can create more comfortable, convenient, and safe caregiving environments, thereby significantly improving the quality of life for older people. The practical implications of this research are significant. The findings can be used to design home environments that better support elderly caregivers in modern families. In addition, the research methods can be adapted to identify and address the unique needs of older persons in different caregiving contexts, thereby contributing to developing more livable and supportive environments.

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An Observational Study on Elderly Caregivers’ Lifestyle and Behaviors -A Lag Sequential Analysis in Modern Chinese Dual-Earner Households

  • 会议论文

  • 发表日期：

    2025年

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  • Qi An,
  • Xinyue Zhang,
  • Jingwen Ma,
  • Xinyuan Zhang

摘要

This study investigated the application of lag sequential analysis in characterizing the interactions between elderly caregivers and their use of space and furniture in modern family settings. This research focused on the caregiving behaviors of elderly individuals in dual-earner families in China, who are increasingly responsible for caring for grandchildren. It sought to inform the design of more livable and human-centered home environments. Societal changes have led to changes in family structures and caregiving responsibilities. Understanding how home design and furniture placement affect older people’s daily lives and caregiving activities is imperative. A 14-day non-participatory observation was conducted in two households using Noldus the Observer XT. Data were collected on feeding, playing, resting, and other caregiving activities, and lag sequential analysis was used to identify significant sequences of behaviors and their interactions with space and furniture. Results showed that home design and furniture placement significantly influenced grandparents’ caregiving behaviors. Inadequate layouts and inappropriately sized furniture exacerbated caregiving difficulties and hindered daily tasks. The frequent use of furniture, particularly during critical care moments, underscored its importance. The study emphasizes the urgent need for human-centered home designs that address the specific needs of older caregivers. By optimizing layouts, adapting furniture, and incorporating assistive devices, we can create more comfortable, convenient, and safe caregiving environments, thereby significantly improving the quality of life for older people. The practical implications of this research are significant. The findings can be used to design home environments that better support elderly caregivers in modern families. In addition, the research methods can be adapted to identify and address the unique needs of older persons in different caregiving contexts, thereby contributing to developing more livable and supportive environments.