Factors Affecting the Quality of Life of Parents of Children with Developmental Disabilities: Focusing on Child’s Problem Behavior, Social Support, and Personality Strengths

2021 ◽  
Vol 20 (3) ◽  
pp. 5-31
Author(s):  
Rosa Oh ◽  
Younga Cho
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Developmental Disabilities ◽  
Problem Behavior ◽  
Factors Affecting ◽  
Children With Developmental Disabilities

scholarly journals Study of Social Support and Factors Affecting Efforts Improving The Quality of Life of Patients with Pulmonary Tuberculosis

2020 ◽  
Vol 3 (3) ◽  
pp. 1-14
Author(s):  
Pariyana Pariyana ◽  
Iche Andriyani Liberty ◽  
Muhammad Aziz
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Family Support ◽  
Community Support ◽  
Observational Research ◽  
Factors Affecting ◽  
Tuberculosis Patients ◽  
Pulmonary Tb ◽  
History Of

Study of Social Support and Factors Affecting EffortsImproving the Quality of Life for Patients with LungTuberculosis.Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. Decreasein the quality of life of tuberculosis patients can have a negative impact on the continuity of therapy which causes failureof therapy. The quality of life of pulmonary TB patients is important to be assessed in various aspects ranging from theaspects of physical well-being, psychology, social and environmental relations. The purpose of this study was to examinesocial support and influencing factors influencing efforts to improve the quality of life of pulmonary TB patients. This typeof research is observational research using cross sectional design. The study population was all pulmonary tuberculosispatients in Palembang City. This study received a total sample of 111 people. The quality of life was measured by theIndonesian WHOQOL-BREFF questionare instrument and the results were obtained by univariate, bivariate, andmultivariate analysis using the SPSS 22 program. Of the 111 study respondents, a good percentage of the quality of lifeof tuberculosis patients in Palembang City Health Center was 71.17% and the not good at 28.83%. There was nosignificant relationship between demographic characteristics (age, sex, body mass index, education level, employmentstatus, and marital status), blood pressure, history of diabetes, and history of smoking with quality of life. There is asignificant relationship between treatment duration. family support. friend support. and community support with thequality of life of tuberculosis patients (p value <0.05). Patients with tuberculosis with poor family support have theopportunity to have a poor quality of life of 86.18%.

scholarly journals Types of Coping as a Determinant of Quality of Life of Mothers of Children with Developmental Disabilities

2020 ◽  
Vol 11 (1) ◽  
pp. 4
Author(s):  
Shahzadi Malhotra ◽  
Waheeda Khan ◽  
Manjeet Singh Bhatia
Keyword(s):  
Quality Of Life ◽  
Developmental Disabilities ◽  
Psychometric Testing ◽  
Children With Autism ◽  
Mental Health Needs ◽  
Icd 10 ◽  
Experience Of Stress ◽  
Social Domains ◽  
Children With Developmental Disabilities

Background: It is well established that caregivers of children with developmental disabilities experience greater stress than caregivers of children without developmental disabilities. However, the experience of stress is dependent on the types of coping strategies that are used to manage stress. Such stress also affects the quality of life (QoL) of parents. Thus, parents of children with disabilities have specific mental health needs which play an important role in affecting their own and their child's QoL. Aim: To study coping as a determinant of QoL of mothers of children with intellectual disability (ID) and children with autism. Methodology: The sample consisted of 100 mothers of children (between 5-12 years of age) selected with purposive sampling, having an ID (n=50) or autism (n=50), diagnosed as per ICD-10 DCR criteria. In addition, the diagnostic assessment was also based on psychometric testing. Types of coping were assessed using Ways of Coping Questionnaires. QoL of caregivers was assessed by WHOQoL-BREF. Result: Multiple regression analysis revealed that seeking social support and planful problem solving were significant determinants of all four domains of QoL. Escape avoidance was a significant determinant of physical, psychological and social domains of QoL of mothers. Positive reappraisal significantly predicted the psychological and social domains of QoL in mothers. Conclusion: Types of coping are the determinant of  QoL of mothers of children with ID and autism. Keywords: Quality of life, coping, autism

Health-Related Quality of Life After the 2015 Gorkha Earthquakes, Among Older Adults Living in Lalitpur District of Central Nepal

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Sabina Wagle ◽  
Kwanjai Amnatsatsue ◽  
Bipin Adhikari ◽  
Patcharaporn Kerdmongkol ◽  
Marc Van der Putten ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Older Adults ◽  
Disaster Preparedness ◽  
Health Related Quality ◽  
Factors Affecting ◽  
Related Quality ◽  
Health Related ◽  
The Impact

ABSTRACT Objective: Health-related quality of life (HQL) among older adults is often neglected and underprioritized in developing countries and is further burdened during natural disasters, such as earthquakes. The main objective of this study was to explore the factors affecting HQL among older adults living in Lalitpur District of Nepal. Methods: A total of 362 older adults participated in this study. Questionnaires were used to interview the respondents on various aspects, such as posttraumatic stress disorder (PTSD) and depression, functional ability, and social support. An analysis was made to explore the factors affecting HQL. Results: HQL scores ranged between 3.13 and 90.63. A majority of the respondents (215/362; 59.4%) scored ≤ 50, indicating poorer HQL. The multivariate analysis found the impact of the following factors on HQL: functional status (β = 0.295; P < 0.001), PTSD (β = −0.225; P < 0.001), chronic disease (β = −0.168; P < 0.001), social support (β = 0.120; P = 0.019), injury (β = −0.104; P = 0.024), age (β = −0.116; P < 0.001), and accessibility to resources. Conclusion: Poor HQL of older adults was dependent on various factors. The disaster preparedness program in Nepal needs urgent attention to address the concerns of older adults by incorporating the findings from this study.

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