Influencing Factors on Quality of Life of Middle-aged Women Living in Rural Area

2003 ◽  
Vol 33 (7) ◽  
pp. 999 ◽  
Author(s):  
Kyung Rim Shin ◽  
Jin Hyang Yang
Keyword(s):  
Quality Of Life ◽  
Rural Area ◽  
Influencing Factors ◽  
Middle Aged

scholarly journals Health-related quality of life of middle-aged and elderly people with hypertension: a cross-sectional survey from a rural area in China

2020 ◽  
Author(s):  
Qi Chen ◽  
Li Ran ◽  
Xiaodong Tan
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Influencing Factors ◽  
Health Related Quality ◽  
Middle Aged ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related

Abstract Background The purpose of this study was to evaluate health-related quality of life (HRQoL) of middle-aged and elderly people with hypertension in Enshi, China, and to explore the important correlates defining HRQoL. Methods During the period of April through July 2018, a self-monitoring intervention program for hypertension control was implemented in a remote area of central China. Participants completed a cross-sectional survey which included demographic characteristics, the Health-related Quality of Life Survey, and the Pittsburgh Sleep Quality Index Survey. Univariate analysis was performed by analysis of variance, and multiple linear regression analysis was used to analyze the influencing factors of HRQoL in middle-aged and elderly hypertensive patients. In the multivariate analysis, the variables with P ≤ 0.05 in the single factor analysis were combined with the professional significance to establish a multiple linear regression model. Results Information from 500 participants was available for analysis. Among them, the scores of PCS and MCS was 31.66 ± 9.50 and 41.38 ± 10.69, respectively. Multivariable regression analyses showed that the influencing factors for PCS scores were age, education level, sleep quality status, tea-drinking habit, and exercise frequency. The influencing factors for MCS scores were family monthly income, sleep quality status, tea-drinking habit, and exercise frequency. Conclusion The overall HRQoL for rural middle-aged and elderly hypertensive patients in Xuan’en county of Hubei province was poor. Effective relevant measures for the above factors were urgently needed to improve the quality of life for the elderly in rural areas. Awareness of these relevant factors could help health care professionals provide better supportive care.

scholarly journals Quality of life of patients with 3D-printed arm prostheses in a rural area of Sierra Leone

Heliyon ◽  
2021 ◽  
pp. e07447
Author(s):  
A.J. Sterkenburg ◽  
M. Van der Stelt ◽  
A.R. Koroma ◽  
M.D. Van Gaalen ◽  
M.J. Van der Pols ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sierra Leone ◽  
Rural Area ◽  
3D Printed

scholarly journals Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

2021 ◽  
Vol 18 (9) ◽  
pp. 4746
Author(s):  
Wei Yu ◽  
Jie Tong ◽  
Xirong Sun ◽  
Fazhan Chen ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Activities Of Daily Living ◽  
Influencing Factors ◽  
Self Efficacy ◽  
Daily Living ◽  
Institutional Environment ◽  
Factors Influencing ◽  
Quality Of Life Scale

Background: Factors related to medication adherence in patients with schizophrenia have always been key to the treatment and rehabilitation of these patients. However, the treatment modes in different countries are not the same, and there is no research on the factors influencing medication adherence under different mental health service modes. Objectives: The purpose of this study was to explore medication adherence and its influencing factors in patients with schizophrenia in the Chinese institutional environment. Methods: We conducted a cross-sectional study of hospitalized persons living with schizophrenia from November 2018 to January 2019. A systematic sampling method was used to select 217 hospitalized persons living with schizophrenia. The Medication Adherence Rating Scale (MARS), Positive and Negative Syndrome Scale (PANSS), General Self-Efficacy Scale (GSES), Schizophrenia Quality of Life Scale (SQLS), and Scale of Social Skills for Psychiatric Inpatients (SSPI) were used to explore medication compliance and its influencing factors in the Chinese institutional environment. Results: The descriptive analysis and ANOVA showed that there were no significant differences in medication adherence when assessed by demographic characteristics such as sex, marital status, and education level (p > 0.05). A correlation analysis showed that there was no significant correlation between medication adherence and mental symptoms (p > 0.05) but that there was a positive correlation with self-efficacy, quality of life, and activities of daily living (p < 0.01). The linear regression analysis showed that self-efficacy, psychosocial factors, symptoms/side effects, and activities of daily living had significant effects on medication adherence (F = 30.210, p < 0.001). Conclusions: Our findings show that the self-efficacy, quality of life, and social function of patients with schizophrenia are important self-factors influencing medication adherence in the Chinese institutional environment.

scholarly journals Relationship between Active Aging and Quality of Life in Middle-Aged and Older Koreans: Analysis of the 2013–2018 KNHANES

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 240
Author(s):  
MiJung Eum ◽  
HyungSeon Kim
Keyword(s):  
Quality Of Life ◽  
Old Age ◽  
Subjective Health ◽  
Active Aging ◽  
Middle Aged ◽  
Subjective Health Status ◽  
Healthcare Needs ◽  
Unmet Healthcare Needs ◽  
Health Factors

With the increase in the aging population worldwide, social interest in having a vibrant and valuable old age has been increasing with changes in the perspectives on old age. This study aimed to determine the relationship between active aging and health-related quality of life (HRQOL) in middle-aged and older Korean using national data. The subjects were 14,117 adults aged ≥55 years. HRQOL was evaluated using the EuroQol–5 Dimension (EQ-5D) questionnaire, and active aging was defined based on the health factors, participation factors, and security factors. The average EQ-5D score was 91.04 ± 0.143. Hierarchical multiple regression analysis sequentially inputting the health, participation, and security factors showed that health factors had the strongest influence on HRQOL (F = 216.656, p < 0.001). In the final model, which included all variables, activity limit (B = −10.477, p < 0.001) and subjective health status (B = −7.282, p < 0.001) were closely related to the HRQOL. In addition, economic activity, income level, home ownership, private health insurance, and unmet healthcare needs were associated with HRQOL. The R2 of the model was 38.2%. To improve the HRQOL of middle-aged and older people, it is necessary to consider active aging factors. Furthermore, follow-up studies using various indicators reflecting active aging should be conducted.

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