Minxia Luo
University of Zurich
24 Papers
4 Citations
Minxia Luo is an academic researcher from University of Zurich. The author has contributed to research in topics: Medicine & Cognition. The author has an hindex of 4, co-authored 10 publications. Previous affiliations of Minxia Luo include University of Hong Kong.
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Papers
An alternative discourse of productive aging: A self-restrained approach in older Chinese people in Hong Kong
Minxia Luo,Ernest Chui +1 more
TL;DR: This article explored interpretations of what constitutes productive aging, based on a series of in-depth interviews with older Chinese people in Hong Kong and found that some of these individuals adopted a passive and indirect interpretation of productive aging.
23
Longitudinal Within-Person Associations Between Quality of Social Relations, Structure of Social Relations, and Cognitive Functioning in Older Age
TL;DR: In this paper, the authors examined longitudinal within-person associations between quality of social relations, structure of social relation, and cognitive functioning in older adults, and found that prior cognitive functioning was positively associated with subsequent structure, but not with quality.
21
Health Expectancies in Adults Aged 50 Years or Older in China.
TL;DR: The world’s largest aging population was spending a substantial proportion of remaining life years in suboptimal health and well-being, while remaining largely independent in basic self-care without severe impairments.
20
Alternating time spent on social interactions and solitude in healthy older adults
TL;DR: In this article , the authors examined how time spent on social interactions and solitude alternatively unfolds within individuals in daily life, relating to individual differences in trait-level well-being and fatigue.
Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Andrea Ferrario,Burcu Demiray,Burcu Demiray,Kristina Yordanova,Minxia Luo,Mike Martin,Mike Martin,Mike Martin +7 more
TL;DR: This study provides evidence of the applicability of NLP and machine learning pipelines for the automated detection of reminiscence in older adults’ everyday conversations in German.