HYBRID EVENT: You can participate in person at Baltimore, Maryland, USA or Virtually from your home or work.

8th Edition of Nursing World Conference

October 17-19, 2024 | Baltimore, USA

October 17 -19, 2024 | Baltimore, USA
NWC 2023

Chunqin liu

Speaker at  Nursing World Conference 2023 - Chunqin liu
Guangzhou Medical University, China
Title : Quality of life profiles and its association with predictors amongst older Chinese adults in nursing homes: A latent profile analysis


This study aimed to examine self-reported quality of life (QoL) profiles in Chinese older adults and explore the association of QoL profiles with demographic and psychosocial characteristics.
A sample of 354 older adults in nursing homes was recruited from Guangdong Province, China, between November 2020 and January 2021. Latent Profile Analysis (LPA) was conducted to explore QoL profiles using the four WHOQOL-BREF domains as input variables. Multinomial logistic regression was performed to explore the association between latent profiles and demographic and psychosocial characteristics.
LPA identified three distinctive QoL profiles: “low QoL with poor psychological health” (18.1%), “moderate QoL” (46.0%) and “high QoL” (35.9%). Gender, educational level, activity frequency of physical weekly activity and average time spent on physical activity (P<0.05) were statistically significantly different within the three profiles. The activity frequency (≥7times/per week), optimism, gratitude, and social support were associated with the increased likelihood of belonging to the moderate-to-high QoL classes. Furthermore, Class 2(moderate QoL group, reference) was compared with Class3(high QoL group), higher frequency of weekly physical activity (≥7times) and spending more time on physical activity (≥1 hour) exhibited higher odds of belonging to high QoL class. Older adults with multiple chronic diseases were more likely to belong to the low-to-moderate QoL
category. Also, the high QoL group displayed higher levels of optimism and social support.
Using the domains of the WHOQOL-BREF scale, the QoL profiles Chinese older adults can be identified. We found that psychosocial variables and demographic characteristic, including lower level of optimism and gratitude, lack of social support, low frequency of physical activity, shorter activity duration time, and presence of chronic disease, heighten risk for lower levels of QoL. Identifying classification may help focus on those at elevated risk for poor QoL and for developing tailored QoL improvement programs.
Keywords: Quality of life; Older adults; Nursing home; Latent profile analysis; Gerontology


Chunqin Liu, is a PhD candidate under the supervision of Prof. Ying Zhou at the School of Nursing, Guangzhou Medical University. She received the bachelor degree in nursing from Jianggangshan University, China in 2013 and the Master of medicine degree in Nursing from Shandong University, China in 2016. Her academic fields are Geriatric nursing & mental health; Cancer nursing. She has presided two research projects (e.g., Research on Innovating Community Home-based Care Service System), and published 5 SCI articles as the first author and 3 SCI articles as other author (e.g., Optimism and subjective well-being in nursing home older adults: The mediating roles of gratitude and social Support). At present, she is working on a survey investigating the symptoms clusters among colorectal cancer.