The Causal Relationship Model of Factors Affecting the Quality of Life of People Living in Special Economic Zones

The aim of this paper is to develop and confirm the causal relationship model of factors affecting educational quality of primary schools. The quality of school education is an important product that represents the future of the nation and influenced by the theory of administrators’ leadership, teacher leadership, and school culture. The sample used in this research were obtained by multi-stage random sampling from 138 elementary schools (According to the Krejcie & Morgan (1970: 607-610) sample size table. The respondents in schools consisted of 430 teacher (132 school administrators, 138 academic teachers and 160 teachers). The research instrument was 1 questionnaire that with the reliability of 0.98. The statistics used for data analysis were mean, standard deviation, kurtosis, skewness, Pearson's product moment correlation coefficient, and structural equation analysis with LISREL (8.80 student edition) program. The findings show that: 1) administrators’ leadership variables Influence through teacher leadership, and school culture on the quality of education of the school, 2) Teachers' leadership variables directly and indirectly affected through school culture variables on school quality variables, and 3) School culture variables directly affected on school quality variables.

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Path Analysis on Factors Affecting Quality of Life of Patients with Knee Osteoarthritis

Strengthening Hospital Competitiveness to Improve Patient Satisfaction and Better Health Outcomes ◽

10.26911/the6thicph.01.37 ◽

2019 ◽

Author(s):

Wika Yuniarwat ◽

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Achmad Arman Subijanto ◽

Hanung Prasetya ◽

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...

Keyword(s):

Quality Of Life ◽

Knee Osteoarthritis ◽

Path Analysis ◽

Factors Affecting

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Health-Related Quality of Life among Cancer Survivors Depending on the Occupational Status

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18073803 ◽

2021 ◽

Vol 18 (7) ◽

pp. 3803

Author(s):

Kisook Kim ◽

Hyohyeon Yoon

Keyword(s):

Quality Of Life ◽

Depressive Symptoms ◽

Cancer Survivors ◽

Occupational Status ◽

Influential Factors ◽

Health Related Quality ◽

Factors Affecting ◽

Related Quality ◽

Health Related

The study aimed to identify and compare the factors affecting health-related quality of life (HRQoL) depending on the occupational status of cancer survivors. This study was a secondary data analysis from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2018. Hierarchical multivariate linear regression was used to investigate the factors affecting the HRQoL of each group. Non-working cancer survivors had significantly lower HRQoL than working cancer survivors (p < 0.001). A hierarchical multiple regression model showed that demographic, health-related, and psychological characteristics explained 62.0% of non-working cancer survivors’ HRQoL (F = 4.29, p < 0.001). Among the input variables, health-related characteristics were the most influential factors (ΔR2 = 0.274, F = 9.84, p < 0.001). For working cancer survivors, health-related characteristics were the only variable that was statistically associated with HRQoL (F = 5.556, p < 0.001). It is important to enhance physical activities and manage the chronic disease to improve the HRQoL of working cancer survivors. Further, managing health-related characteristics, including depressive symptoms and suicidal ideation, is necessary for non-working cancer survivors. Regarding working survivors, psychological factors such as depressive symptoms and suicidal tendencies did not affect HRQoL. Therefore, an early and effective return to work program should be developed for the improvement of their HRQoL.

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Identification of key long-term symptoms and associated factors affecting quality of life after esophagectomy; multi-center European LASER study

European Journal of Surgical Oncology ◽

10.1016/j.ejso.2020.11.210 ◽

2021 ◽

Vol 47 (2) ◽

pp. e25-e26

Author(s):

Sheraz Markar

Keyword(s):

Quality Of Life ◽

Associated Factors ◽

Factors Affecting

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Factors Affecting Quality of Life for People Living with Albinism in Botswana

Dermatologic Clinics ◽

10.1016/j.det.2020.08.012 ◽

2021 ◽

Vol 39 (1) ◽

pp. 129-145

Author(s):

Ellen E. Anshelevich ◽

Karen I. Mosojane ◽

Lorato Kenosi ◽

Oathokwa Nkomazana ◽

Victoria L. Williams

Keyword(s):

Quality Of Life ◽

Factors Affecting

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Quality of life in breast cancer sufferers

International Journal of Health Care Quality Assurance ◽

10.1108/ijhcqa-05-2015-0057 ◽

2016 ◽

Vol 29 (7) ◽

pp. 721-732 ◽

Cited By ~ 1

Author(s):

Ahmed Essmat Shouman ◽

Nahla Fawzy Abou El Ezz ◽

Nivine Gado ◽

Amal Mahmoud Ibrahim Goda

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Family Income ◽

Early Stage ◽

Functional Domain ◽

Related Factors ◽

Specific Patient ◽

Content Type ◽

Factors Affecting

Purpose – The purpose of this paper is to measure health-related quality of life (QOL) among patients with early stage cancer breast under curative treatment at department of oncology and nuclear medicine at Ain Shams University Hospitals. Identify factors affecting QOL among these patients. Design/methodology/approach – A cross-sectional study measured QOL among early stage female breast cancer (BC) patients and determined the main factors affecting their QOL. Three interviewer administered questionnaires were used. Findings – The physical domain mostly affected in BC patients and the functional domain least. Socio-demographic factors that significantly affected BC patients QOL scores were patient age, education, having children and family income. Specific patient characteristics include caregiver presence – a factor that affected different QOL scores. Age at diagnosis, affection in the side of the predominant hand, post-operative chemotherapy and difficulty in obtaining the medication were the disease-related factors that affected QOL scores. Originality/value – The final model predicting QOL for early stage female BC patients included age, education and difficulty in obtaining the medication as determinants for total QOL score. Carer presence was the specific patient characteristic that affected different QOL scores.

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