scholarly journals Pengembangan Industri Kreatif di Desa Wisata Bona, Belega dan Keramas Perspektif Gender

2020 ◽  
Vol 20 (2) ◽  
pp. 114
Author(s):  
Ida Ayu Putu Mahyuni
Keyword(s):  
Quality Of Life ◽  
Women Workers ◽  
Family Income ◽  
Industrial Sector ◽  
Creative Industries ◽  
Creative Industry ◽  
Gender Analysis ◽  
Men And Women ◽  
Participation Of Women

This study on the development of creative industries with a gender perspective is expected to know and understand about the participation of women workers for family income in order to improve their welfare through the industrial sector. as well as the efforts that have been made by related parties, such as the community, local government, and parties concerned about the need to uphold justice in improving the quality of life of the population, especially women. The main problem is: What factors cause women to choose to work and be involved in the creative industry? What are the parties involved in upholding justice in improving the quality of life of the population, especially women according to the gender responsive Presidential Instruction Number 9 of 2000? Gender analysis is used in this study with the assumption that both men and women work and participate according to their potential and needs and equally get benefits

Associations of Age, Gender, and Family Income with Quality of Life in Children With Advanced Cancer

2021 ◽  
pp. 104345422199232
Author(s):  
Piera C. Robson ◽  
Mary S. Dietrich ◽  
Terrah Foster Akard
Keyword(s):  
Quality Of Life ◽  
Advanced Cancer ◽  
Family Income ◽  
Hematologic Malignancy ◽  
Secondary Analysis ◽  
Quality Of Life Inventory ◽  
Younger Age ◽  
Self Reports ◽  
Life Inventory

Background: Children with cancer often experience decreased quality of life (QOL) throughout the illness trajectory. The purpose of this study was to explore the associations of demographic characteristics with QOL in children with advanced cancer. Methods: This secondary analysis was part of a larger randomized clinical trial that evaluated the efficacy of a legacy intervention for children (7–17 years) with relapsed/refractory cancer and their primary parent caregivers. Assessments included child self-reports on the Pediatric Quality of Life Inventory (PedsQL) Cancer Module. Researchers used descriptive and linear regression statistical methods. Results: Children ( n = 128) averaged 10.9 years (SD = 3.0). The majority were female ( n = 68, 53%), white ( n = 107, 84%), had a hematologic malignancy ( n = 67, 52%), with family incomes of $50,000 or less ( n = 81, 63.3%). Statistically significant positive associations of both age and income level with PedsQL scores were observed ( p < .05) but not gender ( p > .05). The strongest correlations for age were with the procedural anxiety ( beta = 0.42), treatment anxiety ( beta = 0.26), and total ( beta = 0.28) scores (all p < .01). In general, there was a positive correlation between family income levels and PedsQL scores ( p < .05). The strongest correlations for income were with nausea ( R = 0.49), appearance ( R = 0.44), pain, and treatment anxiety (both R = 0.42) (all p < .01). Associations adjusted for age remained essentially the same (all p < .01). Discussion: Children with advanced cancer with lower family income and younger age are at high risk for poorer QOL. Oncology nurses should seek to identify families who may benefit from additional resources to promote QOL.

Quality of life in breast cancer sufferers

2016 ◽  
Vol 29 (7) ◽  
pp. 721-732 ◽  
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.

scholarly journals Comparison of quality of life between men and women who underwent Transforaminal Percutaneous Endoscopic Discectomy for lumbar disc herniation

10.14444/4028 ◽  
2017 ◽  
Vol 11 (4) ◽  
pp. 28 ◽  
Author(s):  
Stylianos Kapetanakis ◽  
Grigorios Gkasdaris ◽  
Tryfon Thomaidis ◽  
Georgios Charitoudis ◽  
Konstantinos Kazakos
Keyword(s):  
Quality Of Life ◽  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Lumbar Disc ◽  
Men And Women ◽  
Endoscopic Discectomy

Quality of life of children and adolescents with chronic kidney disease: a cross-sectional study

2018 ◽  
Vol 104 (2) ◽  
pp. 134-140 ◽  
Author(s):  
Anna Francis ◽  
Madeleine S Didsbury ◽  
Anita van Zwieten ◽  
Kerry Chen ◽  
Laura J James ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Children And Adolescents ◽  
Family Income ◽  
Cross Sectional Study ◽  
Kidney Transplants ◽  
Cross Sectional ◽  
Factors Associated

ObjectiveThe aim was to compare quality of life (QoL) among children and adolescents with different stages of chronic kidney disease (CKD) and determine factors associated with changes in QoL.DesignCross-sectional.SettingThe Kids with CKD study involved five of eight paediatric nephrology units in Australia and New Zealand.PatientsThere were 375 children and adolescents (aged 6–18 years) with CKD, on dialysis or transplanted, recruited between 2013 and 2016.Main outcome measuresOverall and domain-specific QoL were measured using the Health Utilities Index 3 score, with a scale from −0.36 (worse than dead) to 1 (perfect health). QoL scores were compared between CKD stages using the Mann-Whitney U test. Factors associated with changes in QoL were assessed using multivariable linear and ordinal logistic regression.ResultsQoL for those with CKD stages 1–2 (n=106, median 0.88, IQR 0.63–0.96) was higher than those on dialysis (n=43, median 0.67, IQR 0.39–0.91, p<0.001), and similar to those with kidney transplants (n=135, median 0.83, IQR 0.59–0.97, p=0.4) or CKD stages 3–5 (n=91, 0.85, IQR 0.60–0.98). Reductions were most frequent in the domains of cognition (50%), pain (42%) and emotion (40%). The risk factors associated with decrements in overall QoL were being on dialysis (decrement of 0.13, 95% CI 0.02 to 0.25, p=0.02), lower family income (decrement of 0.10, 95% CI 0.03 to 0.15, p=0.002) and short stature (decrement of 0.09, 95% CI 0.01 to 0.16, p=0.02).ConclusionsThe overall QoL and domains such as pain and emotion are substantially worse in children on dialysis compared with earlier stage CKD and those with kidney transplants.

scholarly journals Family Health Strategies: Profile/quality of life of people with diabetes

2018 ◽  
Vol 71 (6) ◽  
pp. 2899-2906 ◽  
Author(s):  
Claudete Moreschi ◽  
Claudete Rempel ◽  
Daiana Foggiato de Siqueira ◽  
Dirce Stein Backes ◽  
Luis Felipe Pissaia ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Women Elderly ◽  
Family Income ◽  
Family Health ◽  
Cross Sectional Study ◽  
Care Process ◽  
Cross Sectional ◽  
Significant Difference ◽  
Epidemiological Profile

ABSTRACT Objective: To evaluate the quality of life and to analyze the epidemiological profile of people with diabetes treated in Family Health Strategies. Method: A cross-sectional study carried out with 350 people with diabetes. Results: Most people with diabetes are women, elderly, married, white, with low educational level, retired/pensioners, family income of up to two minimum wages. As the time of people with the disease increases, their quality of life decreases. People with complications from diabetes have a lower quality of life, with a statistically significant difference. Conclusion: Knowledge of the sociodemographic characteristics, clinical evaluation and quality of life of people with diabetes can improve the care process provided to this population.

scholarly journals Exploring the impact of oral health-related quality of life on the child’s family structure

2020 ◽  
Vol 19 ◽  
pp. e206621
Author(s):  
Patrícia Rafaela dos Santos ◽  
Felipe Alexandre de Souza ◽  
Diego Patrik Alves Carneiro ◽  
Marcelo de Castro Meneghim ◽  
Silvia Amélia Scudeler Vedovello
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Family Structure ◽  
Family Income ◽  
Caries Experience ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Impact

Aim: The aim of this study was to explore the impact of oral health-related quality of life (OHRQoL) on the child’s family structure. Methods: A representative sample of 613 children from public preschools, in a city in southeastern Brazil, were enrolled in this cross-sectional study. The sample was determined through probabilistic sampling in two stages (preschools and children). The outcome variable (Early Childhood Oral Health Impact Scale [ECOHIS]) was multi-categorized in children and family. Independent individual variables were sex, race, family income, parents’/caregivers’ level of education, family income, dental caries, and malocclusion. Initially, individual analyses were performed, relating the study variables to the outcome variables, estimating the raw odds ratio with the respective confidence intervals of 95%. The variables with p < 0.20 in the individual analyses were tested in the multiple logistic regression models, and those with p < 0.10 remained in the model. Results: Impact on OHRQoL was reported by 40.9% of the children and 17% of their families. Children with low family income and caries experience had, respectively, 1.53 (95% CI: 1.00-2.32) (p = 0.0465) and 2.96 (95% CI: 1.81-4.84) (p < 0.0001) more chance of presenting negative impact on OHRQoL. Conclusions: The aspects that most affected the OHRQoL of child’s family structure were low income and dental caries experience.

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