scholarly journals A QUANTITATIVE ANALYSIS OF SOCIAL EFFECTS OF CANCER PATIENTS AND ITS IMPACTS ON QUALITY OF LIFE

2021 ◽  
Vol 9 (3) ◽  
pp. 1602-1608
Author(s):  
Rehan ◽  
Intikhab Alam ◽  
Younas Khan ◽  
Fazal Hanan ◽  
Habib UrRahman
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Social Life ◽  
Quantitative Research ◽  
Social Effects ◽  
Cross Sectional ◽  
Cancer Disease ◽  
After Cancer ◽  
Domestic Affairs

Purpose of the study: The present study explores the social effects of cancer patients and their impacts on their quality of life (QoL). Methodology: A cross-sectional based study was conducted in district Dir lower from a cancer patient (n=155). A structured questionnaire technique was used for data collection. Descriptive statistics and inferential statistics were carried out for both variables, i.e. dependent variable (QoL) and independent variable (Social effects of cancer patients). Principal Findings: Among all 155 sampled respondents, 75.5% were male, having 42.6% had age group of 26-40 years, 79.9% were married, 47.1% were literate, and 32.3% were dependent on family members on economic terms. However, the perceptions of cancer patients with regards to social effects of Cancer majority 76.8% were proclaimed that social support decline cancer illness, 71% stated that religious doctrine gives spiritual healings, 70.3% dismantled that after cancer family supports us, 45.2% were reported that Cancer is a fatalistic disease, and 51.6% proclaimed that preference is given to male over a female concerning cancer disease respectively. Applications of this study: Cancer affects social life, especially domestic affairs; however, this study was not primarily identified cancer diagnoses parameters due to the cross-sectional and perception nature of the study. A longitudinal follow-up study is the order of the day to determine whether there is any link between sociological and Cancer contexts. Novelty/Originality of this study: This study is an attempt to insight into the sociological exploration of cancer patients effects through perceptional based research methodology/ Likert Scale procedure along with quantitative research design to measure the association between the aforementioned variable above with an amalgamation of an addition in the field of medical sociology.

scholarly journals RELATIONSHIP BETWEEN DEPRESSION, ANXIETY AND STRESS WITH QUALITY OF LIFE OF INFERTILE COUPLES

2020 ◽  
pp. 1-3
Author(s):  
Jisha M. ◽  
Dr Assuma Beevi.T. M.
Keyword(s):  
Quality Of Life ◽  
Cross Sectional Study ◽  
Social Effects ◽  
Anxiety And Depression ◽  
Sectional Study ◽  
Cross Sectional ◽  
Infertile Women ◽  
Stress Scale ◽  
Infertile Couples

Introduction: Psychological and social effects of infertility may cause decline in the quality of life of infertile couples. A cross sectional study was conducted among 100 infertile couples, to find out the association between level of stress, anxiety and depression with their quality of life. Materials and methods: Data was collected using demographic and fertility information questionnaire, depression anxiety and stress scale (DASS-42) and fertility quality of life (fertiQol-malayalam). Results: Infertile couples experiences higher levels of depression, anxiety and stress and it is more among women,(depression-(15.36 +_ 9.23), stress(16.3+-7.52) anxiety (9.36+_6.33) than men (depression(12.52+_10.30 )(P=0.030), stress(12.84+_ 7.94 )(P=0-002 ) anxiety(7.50+_5-55). Levels of depression, anxiety and stress have significant negative relation with their quality of life. Infertile women has significantly lower quality of life (P= 0.002) than men. Conclusion: Interventions, to reduce depression, anxiety and stress among infertile couples may be helpful to improve their quality of life.

scholarly journals HUBUNGAN DUKUNGAN KELUARGA DENGAN KUALITAS HIDUP ORANG DENGAN GANGGUAN JIWA

2018 ◽  
Vol 1 (2) ◽  
pp. 87
Author(s):  
Kadek Putra Sanchaya ◽  
Ni Made Dian Sulistiowati ◽  
Ni Putu Emy Darma Yanti
Keyword(s):  
Quality Of Life ◽  
Mental Disorders ◽  
Family Support ◽  
Quantitative Research ◽  
Sampling Technique ◽  
Rank Test ◽  
Cross Sectional ◽  
Respondent Characteristics ◽  
The Relationship

THE RELATIONSHIP BETWEEN FAMILY SUPPORT AND THE QUALITY OF LIFE OF PEOPLE WITH MENTAL DISORDERS  ABSTRACTMental disorder is one of the most serious health problems. Families have to spend more time to provide care to People with Mental Disorders at home. People with Mental Disorders (ODGJ) usually have problems with quality of life. The study aimed to determine the relationship between family support and the quality of life of People with Mental Disorders / ODGJ. This research is a quantitative research by using cross-sectional design with correlative analytic method. The sample of the research were 39 people selected by non probability sampling technique of purposive sampling. Data collection of respondent characteristics was conducted by using questionnaire of respondent characteristics. The level of family support was assessed by using family support questionnaires proposed by Friedman and the quality of life of the respondents was measured using the SQLS questionnaires. The findings showed that good and moderate family supports have the same percentage of 35.9%, while the results of the quality of life score showed that the majority of respondents had good quality of life (82.1%). Based on the analysis by using Spearman-Rank test, there is a significant correlation between family support and quality of life of respondents with p = 0,000 (p <0,05) and strong correlation value of 0.618 and positive correlation direction which means if family support increases then the quality of life of respondents will increase and vice versa. The future researchers are expected to exercise control over other factors that may affect the quality of life of People with Mental Disorders (ODGJ).

scholarly journals Evaluation of quality of life in early breast cancer disease free survivors. a cross sectional survey

2016 ◽  
Vol 27 ◽  
pp. iv74
Author(s):  
D. Aiello ◽  
S. Patti ◽  
M. Alì ◽  
M.V. Sanò ◽  
S. Virgilio ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Early Breast Cancer ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Cancer Disease ◽  
Disease Free

Quality of life after different procedures for regional control in oral cancer patients: cross-sectional survey

2016 ◽  
Vol 41 (3) ◽  
pp. 228-233 ◽  
Author(s):  
T.M. Govers ◽  
W.H. Schreuder ◽  
W.M.C. Klop ◽  
J.P.C. Grutters ◽  
M.M. Rovers ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Oral Cancer ◽  
Cancer Patients ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Regional Control ◽  
Oral Cancer Patients

scholarly journals Complementary and Alternative Medicine Use and Its Association with Quality of Life among Cancer Patients Receiving Chemotherapy in Ethiopia: A Cross-Sectional Study

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Daniel Asfaw Erku
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Cancer Patients ◽  
Health Care Providers ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cam Use

Background.Today, complementary and alternative medicine (CAM) use is being routinely practiced by cancer patients worldwide. This study aimed at examining the prevalence of CAM use in patients with cancer and comparing the quality of life (QoL) in CAM users and nonusers.Methods.A cross-sectional study was employed on 195 cancer patients receiving chemotherapy at Gondar University Referral Hospital (GURH) chemotherapy center. Interviewer-administered questionnaires were used and the collected data were analyzed by the Statistical Package for the Social Sciences (SPSS) software version 21.0 for Windows.Results.154 (79%) patients were found to be users of CAM. Educational status, average monthly income, disease stage, and comorbidity were strong predictors of use of CAM. The most commonly utilized types of CAM were traditional herbal based medicine (72.1%) and only 20.8% of patients discuss with their doctors CAM use. No significant difference was found in QoL between CAM users and nonusers except in financial difficulties (p=0.020).Conclusions.This study revealed a high rate of CAM use with very low disclosure rate to their health care providers. Health care providers should be open to discuss the use of CAM with their patients as it will lead to better health outcome.

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