scholarly journals Trends in healthy life expectancy among older Brazilian women between 1998 and 2008

2015 ◽  
Vol 49 (0) ◽  
Author(s):  
Marília Regina Nepomuceno ◽  
Cássio Maldonado Turra
Keyword(s):  
Health Status ◽  
Life Expectancy ◽  
Older Women ◽  
Sample Survey ◽  
Healthy Life Expectancy ◽  
Cross Sectional ◽  
Healthy Life ◽  
Current Health ◽  
Current Health Status ◽  
Life Years

OBJECTIVE To analyze conditional and unconditional healthy life expectancy among older Brazilian women.METHODS This cross-sectional study used the intercensal technique to estimate, in the absence of longitudinal data, healthy life expectancy that is conditional and unconditional on the individual’s current health status. The data used were obtained from the Pesquisa Nacional por Amostra de Domicílios (National Household Sample Survey) of 1998, 2003, and 2008. This sample comprised 11,171; 13,694; and 16,259 women aged 65 years or more, respectively. Complete mortality tables from the Brazilian Institute of Geography and Statistics for the years 2001 and 2006 were also used. The definition of health status was based on the difficulty in performing activities of daily living.RESULTS The remaining lifetime was strongly dependent on the current health status of the older women. Between 1998 and 2003, the amount of time lived with disability for healthy women at age 65 was 9.8%. This percentage increased to 66.2% when the women already presented some disability at age 65. Temporal analysis showed that the active life expectancy of the women at age 65 increased between 1998-2003 (19.3 years) and 2003-2008 (19.4 years). However, life years gained have been mainly focused on the unhealthy state.CONCLUSIONS Analysis of conditional and unconditional life expectancy indicated that live years gained are a result of the decline of mortality in unhealthy states. This pattern suggests that there has been no reduction in morbidity among older women in Brazil between 1998 and 2008.

scholarly journals Health Status of Old Age Population in Bulgaria

2016 ◽  
Vol 2 (4) ◽  
pp. 126
Author(s):  
Mariana Mourgova
Keyword(s):  
Health Status ◽  
Life Expectancy ◽  
European Countries ◽  
Healthy Life Expectancy ◽  
Mortality Data ◽  
Healthy Life ◽  
Healthy Life Years ◽  
Demographic Indicators ◽  
Life Years ◽  
Different Levels

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.

scholarly journals Health Status of Old Age Population in Bulgaria

2016 ◽  
Vol 6 (1) ◽  
pp. 126
Author(s):  
Mariana Mourgova
Keyword(s):  
Health Status ◽  
Life Expectancy ◽  
European Countries ◽  
Healthy Life Expectancy ◽  
Mortality Data ◽  
Healthy Life ◽  
Healthy Life Years ◽  
Demographic Indicators ◽  
Life Years ◽  
Different Levels

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.

scholarly journals Estimated Disability-Adjusted Life Years attributable to water, sanitation and hygiene in 2004

2017 ◽  
Author(s):  
Najet Guefradj
Keyword(s):  
Health Status ◽  
Disability Adjusted Life Years ◽  
Healthy Life ◽  
Related Disease ◽  
Current Health ◽  
Current Health Status ◽  
Sanitation And Hygiene ◽  
Disability Adjusted Life ◽  
Life Years ◽  
Health Situation

This layer represents the number of Disability-Adjusted Life Years (DALYs) due to WASH. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. This layer also provides DALYs for each WASH-related disease. For more information about the DALY metrics, visit: http://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/# For more information, visit WHO website to access the report (http://apps.who.int/iris/bitstream/10665/43840/1/9789241596435_eng.pdf) and to access the raw data (http://www.who.int/quantifying_ehimpacts/publications/saferwater/en). Health Quality

scholarly journals Disability-Adjusted Life Year attributable to the lack of access to handwashing facility in 2015 for 5-14 year-old males

2017 ◽  
Author(s):  
Najet Guefradj
Keyword(s):  
Health Status ◽  
Global Burden ◽  
Disability Adjusted Life Years ◽  
Healthy Life ◽  
Current Health ◽  
Current Health Status ◽  
Disability Adjusted Life ◽  
Life Years ◽  
Health Situation ◽  
Disability Adjusted Life Year

This layer represents the percentage of total Disability-Adjusted Life Years (DALYs) attributable to the lack of access to handwashing facility in 2015, for 5 to 14 year-old males. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Gender Health Youth

Global Patterns of Healthy Life Expectancy for Older Women

2002 ◽  
Vol 14 (1-2) ◽  
pp. 99-117 ◽  
Author(s):  
Colin D. Mathers ◽  
Christopher J. L. Murray ◽  
Alan D. Lopez ◽  
Ritu Sadana ◽  
Joshua A. Salomon
Keyword(s):  
Life Expectancy ◽  
Older Women ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Global Patterns

scholarly journals Gender difference in trends in healthy life expectancy in 2005-2012 for adults aged 50 years and older in South Africa

2019 ◽  
Vol 4 (2) ◽  
pp. 12 ◽  
Author(s):  
Witness Chirinda ◽  
Yasuhiko Saito ◽  
Danan Gu ◽  
Nompumelelo Zungu
Keyword(s):  
South Africa ◽  
Life Expectancy ◽  
Older People ◽  
Good Health ◽  
Gender Disparities ◽  
Healthy Life Expectancy ◽  
Cross Sectional ◽  
Healthy Life ◽  
Fiscal Planning ◽  
Using Data

Data characterizing older people’s life expectancy by good or poor health isimportant for policy and fiscal planning. This study aims to examine trends and investigategender differences in healthy life expectancy (HLE) for older people in South Africa for theperiod 2005–2012. Using data from three repeated cross-sectional surveys conducted in 2005,2008, and 2012, we applied a self-rated health measure to estimating HLE. The Sullivanmethod was used in the calculations. We found that unhealthy life expectancy decreased overthe period, while HLE and the proportion of life spent in good health increased more thantotal life expectancy in the same period. Gender disparities were evident: Women had higherlife expectancy than men, yet they spent a greater proportion of their lifetime in poor health.We concluded that HLE of older people in South Africa has improved over the period underinvestigation.

scholarly journals Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing in 2015 for 15-49 year-old females

2017 ◽  
Author(s):  
Najet Guefradj
Keyword(s):  
Health Status ◽  
Global Burden ◽  
Healthy Life ◽  
Current Health ◽  
Current Health Status ◽  
Disability Adjusted Life ◽  
Unsafe Water ◽  
Health Situation ◽  
Disability Adjusted Life Year ◽  
Old Females

This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Gender Health Youth

scholarly journals Patient satisfaction after Elective Major Gynaecological Surgery in 2 reference hospitals in Yaounde: A cross-sectional study

2019 ◽  
Author(s):  
Ojong Samuel AKOMBENG ◽  
Luchuo Engelbert Bain ◽  
Christiane Nsahlai ◽  
Elvis E. Tarkang ◽  
Ombaku Kingsley ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Health Status ◽  
Healthcare Delivery ◽  
University Teaching ◽  
Phone Call ◽  
P Value ◽  
Gynaecological Surgery ◽  
Cross Sectional ◽  
Current Health ◽  
Current Health Status

Abstract Introduction Patient satisfaction is a quality of care measure and reveals patients’ appreciation of healthcare delivery. We sought to measure patient satisfaction following major gynaecological surgeries in 2 University Teaching Hospitals in Yaounde, Cameroon.Methods Ours was a cross-sectional, prospective study over 9 months (October 1 st 2018, to June 30 th 2018) at the Yaounde Gynaeco-Obstetric and Paediatric Hospital (YGOPH) and the Yaounde Central Hospital (YCH). By administering a modified Surgical Satisfaction Questionnaire (SSQ-8) via phone call 6 months after surgery we appreciated and scored key aspects linked to patient satisfaction, and obtained information on post-operative complications. Data was analysed using Microsoft Excel 18 and SPSS 21 setting significance at p<0.05.Results We recruited 72 patients aged 24 to 68 years. Our participants had a mean satisfaction score of 26 ± 7.854 (59.7% satisfied and 40.3% dissatisfied). All aspects tested on the SSQ-8 questionnaire influenced patient satisfaction. Patients who said they were satisfied with pain control after surgery (OR=0.207 CI=0.070–0.609, P=0,003), and with surgical results in the SSQ-8 questionnaire (OR=0.053, CI=0.011–0.254, P<0.001) achieved statistically significant post-operative satisfaction. Contrarily, patients who were dissatisfied with surgery results (OR=132.000, CI=15.256-114.131, P< 0.001) and those who developed complications (OR=7.922, CI=2.241 – 28.004, P<0.001) were significantly dissatisfied with surgery. Additionally, 47.2% declared a poor post-operative current health status versus 52.8% who claimed a good post-operative current health status. Following multivariate analysis, satisfaction with the results of surgery (aOR= 0.071, CI=0.008–0.657, P= 0.020) and the occurrence of complications (aOR=7.284, CI=1.146 – 46.273, P=0.035) were the main determinants of patient satisfaction. Patient current health status evolved similarly to patient satisfaction and especially by satisfaction with time taken to resume work (aOR=0.039, CI=0.004-0.398, P=0.006) and pre-operative exercise routine (aOR=0.038, CI=0.002–0.678, P-value=0026).Conclusion Patient satisfaction with elective gynaecological surgery is low and determined by post-operative experiences and the occurrence of complications. Also, patient self-reported current health status tends to evolve similarly to satisfaction following surgery.

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