Factors Associated with Quality of Life Among Older Adults with Chronic Disease in Taiwan

Chen, Hsiao-Mei; Chen, Ching Min

doi:10.1016/j.ijge.2016.07.002

Cited by 35 publications

(29 citation statements)

References 23 publications

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“…Further research is required to confirm the relationships between nutritional status and clinical outcomes in this regard. Similar to the present results, some studies have shown that HRQoL indicators decrease with aging in older adults (25,(37)(38)(39). In addition, our results suggest that the HRQoL scores among the participants in the hospital or nursing home settings were lower compared to the participants living in the community.…”

Section: Discussionsupporting

confidence: 90%

Associations Between Nutritional Status, Sociodemographic Characteristics, and Health-Related Variables and Health-Related Quality of Life Among Chinese Elderly Patients: A Multicenter Prospective Study

et al. 2020

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Background: Studies that explore the nutritional status, sociodemographic factors, mental health variables, and physical health variables that affect the health-related quality of life (HRQoL) of elderly patients are scarce in China. Objective: This study aimed to examine the association between health-related quality of life (HRQoL) and nutritional status, sociodemographic characteristics, and health-related variables among Chinese elderly patients. Materials and Methods: Participants were recruited from six tertiary-level hospitals in six provinces or municipalities/cities throughout China from October 2018 to February 2019: a total of 9,996 participants aged 65 years and older were enrolled. The nutritional status and HRQoL were measured using the Mini Nutritional Assessment-Short Form (MNA-SF) and the EuroQoL Five-Dimension Visual Analog Scale, respectively. BMI was taken using standard measurement protocols. Sociodemographic characteristics included age, sex, education, marital status, ethnicity, smoking, alcohol drinking, and current residence. Mental and physical health variables such as frailty and depression were assessed using validated tested instruments. Multiple linear regression analysis was used to analyze whether the nutritional status, sociodemographic characteristics, and health-related variables were associated with HRQoL. Results: According to the MNA-SF scores at the 30-and 90-day follow-up, 9.7% and 9.1% of participants were malnourished, respectively. Higher MNA-SF scores were related to higher HRQoL scores in older patients (regression coefficient; 95% confidence interval) both at the 30-day (0.660; 0.499-0.821) and 90-day (0.622; 0.434-0.809) follow-up. However, there were no significant associations between the body mass index values and HRQoL. Sociodemographic characteristics (such as age, smoking, and current residence), physical health variables (frailty, urinary function, defecation function, sleeping condition, and falling accidents in the past 12 months), and mental health variables (depression) were the main factors influencing HRQoL in this group. Conclusion: There are several factors associated with HRQoL among the population derived from this investigation of a representative sample of the Chinese hospitalized elderly population in tertiary hospitals. These findings could have major importance for the planning of "active aging" policies and programs.

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Section: Discussionsupporting

confidence: 90%

Associations Between Nutritional Status, Sociodemographic Characteristics, and Health-Related Variables and Health-Related Quality of Life Among Chinese Elderly Patients: A Multicenter Prospective Study

et al. 2020

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“…The total score is the sum of the two subscales and ranged from 20 to 120. In sum, the scores are classified into three categories: low Spiritual Well-Being (20-40), moderate Spiritual Well-Being (41-99) and high Spiritual Well-Being (100-120) (Chen et al 2017).…”

Section: Methodsmentioning

confidence: 99%

The Elders’ Spiritual Well-Being and Their Quality of Life: A Cross-Sectional Study

Jafaripoor

Safarabadi

Pourandish

et al. 2019

JCCNC

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Background: Because of the rising number of elderly people, their Quality of Life have become more important. Health status has been considered as one of the factors that affect life quality and Spiritual Well-Being is one of its important dimensions. The present study aimed to determine the relationship between Spiritual Well-Being and Quality of Life among the elderly people residing in Arak City, Iran. Methods: This is a cross-sectional and correlational study. The study sample comprised 400 elderly people residing in Arak, Iran who were selected by cluster sampling method. Spiritual Well-Being was measured using Spiritual Well-Being scale (SWB) and the Quality of Life was assessed by Older People's Quality of Life Questionnaire (OPQOL-35). The obtained data were analyzed by descriptive statistics, along with Pearson correlation test, t-test, and ANOVA in SPSS V. 16. Results: The Mean±SD score of life quality among the elderlies was 76.24±17.84 and was associated with their marital status and education level (P=0.001). The Spiritual Well-Being score of most elderly people ranged from moderate to high and the Mean±SD score of their Spiritual Well-Being was 96.47±13.43. There was a significant relationship between Spiritual Well-Being and the Quality of Life (r=0.37, P=0.0001). Conclusion: According to the findings, more attention should be paid to the factors related to the Quality of Life for taking care of the elderly people. Considering the relationship between Spiritual Well-Being and Quality of Life among these elderlies, provision of spiritual care for this group of society is recommended.

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“…Specifically, older adults with a high school or higher education had significantly higher QOL scores than elderly people who were illiterate . 19,20 . Similarly, quality of life has been reported to be lower among elderly people with less education in Taiwan.…”

Section: Descriptive Statistics Of the Study Population Depression Smentioning

confidence: 99%

Exploring the quality of life and its related factors among the elderly

Gunawan¹,

Hsu

2020

SEANR

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As the rapidly growing population of elderly people in the world that means they would be facing all challenges to their quality of life. As age increases, quality of life is often reported to decline. They are also at risk of mental illness, neurological disorder and more health problems affecting their quality of life. Depression is a common mental disorder among the elderly. The objective of this study is to understand the relationship between depression and quality of life among the elderly in an Indonesian nursing home. This research use the descriptive correlational and cross-sectional design was applied. There were 114 elderly recruited by convenient sampling. The results of this study showed the mean age of the elderly was 71.2 at the time of data collection ranging from 65 to 76 years old. The variables associated with quality of life were age, gender, education, marital status, ethnicity, chronic disease, and depression status. Moreover, the study found that, as predictors, the variables that influenced the quality of life according to relevance were: age, depression status, and educational level. Age and depression status is recognized as significant predictors of the quality of life among the elderly in an Indonesian nursing home. The result of the study would serve as references to the future and related promotion for the same field of the study

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Factors Associated with Quality of Life Among Older Adults with Chronic Disease in Taiwan

Cited by 35 publications

References 23 publications

Associations Between Nutritional Status, Sociodemographic Characteristics, and Health-Related Variables and Health-Related Quality of Life Among Chinese Elderly Patients: A Multicenter Prospective Study

Associations Between Nutritional Status, Sociodemographic Characteristics, and Health-Related Variables and Health-Related Quality of Life Among Chinese Elderly Patients: A Multicenter Prospective Study

The Elders’ Spiritual Well-Being and Their Quality of Life: A Cross-Sectional Study

Exploring the quality of life and its related factors among the elderly

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