Scholarlink

<p>Depressive symptoms among older adults with disabilities are increasing. Social interaction is crucial in alleviating these symptoms, but the social interaction patterns remain unclear, especially including positive and negative aspects. This study aims to classify the interaction patterns of older adults with disabilities through Latent Profile Analysis (LPA) and explore the differences between these and depressive symptoms.&#xa0;A cluster sample of 1,227 older adults in China was surveyed using the Positive and Negative Social Exchanges Scale and Geriatric Depression Scale. LPA identified interaction patterns, and multivariate logistic regression examined factors influencing these patterns. Depressive symptoms across patterns were compared using the modified Bolck-Croon-Hagenaars method and generalized linear negative binomial regression.&#xa0;Four patterns were identified: marginal (11.6%), positive-negative near-average (36.6%), positive-dominant (41.2%), and negative-dominant (10.6%). Depressive symptoms were highest in the negative-dominant and lowest in the positive-dominant group. The positive-negative near-average group reported worse symptoms than the marginal group.&#xa0;Among the four patterns, only the “positive-dominant group” seems to experience relatively mild depressive symptoms. The other three groups show higher levels of depressive symptoms. In the “positive-negative near-average”, the negative effects of passive interactions overshadowed the benefits of active ones, resulting in worse depressive symptoms than the “marginal group”.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Profiles of positive and negative social interaction in older adults with disabilities and their differences in depressive symptoms

  • 期刊论文

  • 发表日期：

    2026年7月22日

查看全文
  • Yi Fang,
  • Shuya Cai,
  • Zhi Li,
  • Wen Jiang,
  • Fen Luo,
  • Qianyun Xu,
  • Tianbao Lan,
  • Danwen Song,
  • Ye Weng,
  • Zhiqin Yin

摘要

Depressive symptoms among older adults with disabilities are increasing. Social interaction is crucial in alleviating these symptoms, but the social interaction patterns remain unclear, especially including positive and negative aspects. This study aims to classify the interaction patterns of older adults with disabilities through Latent Profile Analysis (LPA) and explore the differences between these and depressive symptoms. A cluster sample of 1,227 older adults in China was surveyed using the Positive and Negative Social Exchanges Scale and Geriatric Depression Scale. LPA identified interaction patterns, and multivariate logistic regression examined factors influencing these patterns. Depressive symptoms across patterns were compared using the modified Bolck-Croon-Hagenaars method and generalized linear negative binomial regression. Four patterns were identified: marginal (11.6%), positive-negative near-average (36.6%), positive-dominant (41.2%), and negative-dominant (10.6%). Depressive symptoms were highest in the negative-dominant and lowest in the positive-dominant group. The positive-negative near-average group reported worse symptoms than the marginal group. Among the four patterns, only the “positive-dominant group” seems to experience relatively mild depressive symptoms. The other three groups show higher levels of depressive symptoms. In the “positive-negative near-average”, the negative effects of passive interactions overshadowed the benefits of active ones, resulting in worse depressive symptoms than the “marginal group”.