Poor quality of life and health in young to middle aged Bosnian female war refugees

Public Health ◽  
1998 ◽  
Vol 112 (1) ◽  
pp. 21-26 ◽  
Author(s):  
J Sundquist ◽  
A Behmen-Vincevic ◽  
S-E Johansson
2019 ◽  
Vol 30 (3) ◽  
pp. 568-572 ◽  
Author(s):  
Shiro Imagama ◽  
Kei Ando ◽  
Kazuyoshi Kobayashi ◽  
Taisuke Seki ◽  
Takashi Hamada ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Patrick Temi Adegun ◽  
Philip Babatunde Adebayo ◽  
Peter Olufemi Areo

Objectives. To compare the severity of LUTS among middle aged and elderly Nigerian men and determine the influence of LUTS severity on QoL.Methods. This cross-sectional study was conducted among new patients presenting with LUTS attending Urology clinic between 2011 and 2015. Assessment of symptoms was based on IPSS and bother score completed by the eligible subjects on the same day of their clinic visits.Results. Four hundred patients were studied comprising 229 middle aged and 171 elderly men. Interquartile range (IQR) of IPSS scores for men <65 years and those ≥65 years was 14.0 (16.0) and 19 (15.0), respectively (p<0.001). Mild LUTS was significantly associated with best, good, and poor quality of life while moderate LUTS was associated with poor QoL. Severe LUTS was significantly associated with all the categories of QoL (Best-Worst). Among the cohort of subjects with poor QoL, elderly patients had a significantly higher median IPSS score (p<0.05).Conclusions. There is no level of severity of LUTS in which patients’ QoL is not impaired although mild symptomatology may be associated with better QoL and severe symptomatology with poor QoL. Careful attention to QoL may help identify patients who require early and prompt treatment irrespective of the IPSS.


2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life


Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 240
Author(s):  
MiJung Eum ◽  
HyungSeon Kim

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.


2018 ◽  
Vol 44 (4) ◽  
pp. 292-298 ◽  
Author(s):  
Erica Nishida Hasimoto ◽  
Daniele Cristina Cataneo ◽  
Tarcísio Albertin dos Reis ◽  
Antonio José Maria Cataneo

ABSTRACT Objective: To determine the prevalence of primary hyperhidrosis in the city of Botucatu, Brazil, and to evaluate how this disorder affects the quality of life in those suffering from it. Methods: A population survey was conducted in order to identify cases of hyperhidrosis among residents in the urban area of the city, selected by systematic cluster sampling. In accordance with the census maps of the city, the sample size should be at least 4,033 participants. Ten interviewers applied a questionnaire that evaluated the presence of excessive sweating and invited the subjects who reported hyperhidrosis to be evaluated by a physician in order to confirm the diagnosis. Results: A total of 4,133 residents, in 1,351 households, were surveyed. Excessive sweating was reported by 85 residents (prevalence = 2.07%), of whom 51 (60%) were female. Of those 85 respondents, 51 (60%) agreed to undergo medical evaluation to confirm the diagnosis and only 23 (45%) were diagnosed with primary hyperhidrosis (prevalence = 0.93%). Of the 23 subjects diagnosed with primary hyperhidrosis, 11 (48%) reported poor or very poor quality of life. Conclusions: Although the prevalence of self-reported excessive sweating was greater than 2%, the actual prevalence of primary hyperhidrosis in our sample was 0.93% and nearly 50% of the respondents with primary hyperhidrosis reported impaired quality of life.


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