Socioeconomic inequalities in self-reported chronic non-communicable diseases in urban Hanoi, Vietnam

2016 ◽  
Vol 12 (12) ◽  
pp. 1522-1537 ◽  
Author(s):  
Vu Duy Kien ◽  
Hoang Van Minh ◽  
Kim Bao Giang ◽  
Amy Dao ◽  
Lars Weinehall ◽  
...  
2018 ◽  
Vol 75 (9) ◽  
pp. 926-934
Author(s):  
Svetlana Radevic ◽  
Snezana Radovanovic ◽  
Nela Djonovic ◽  
Ivana Simic-Vukomanovic ◽  
Natasa Mihailovic ◽  
...  

Background/Aim. Non-communicable diseases (NCDs) are a major public health challenge worldwide. Although they are preventable, NCDs are the major global causes of morbidity and mortality, absenteeism, disability and premature death. The aim of this study was to examine socioeconomic inequalities in the prevalence of non-communicable diseases in Serbia. Methods. Data from the 2013 National Health Survey of the population of Serbia was used in this study. There were 13,765 adults interviewed, aged ? 20 years. We used multivariate logistic regression analyses with demographic and socioeconomic determinants of health as independent variables and prevalence of non-communicable diseases as a dependent variable. The minimum level of significance was p < 0.05. Results. Hypertension was the most prevalent NCDs (36.1%). The prevalence of multimorbidity was 47.1%. Multivariate logistic regression analysis showed that gender, age, place of residence, employment status and education were associated with the presence of NCDs. The odds ratio (OR) for age was 1.074 [95% confidence interval (CI) : 1.070?1.077). Women were at a higher risk of NCDs by 58.9% when compared to men (OR = 1.589; 95% 95% CI : 1.467?1.726). Respondents who lived in the rural areas were at a higher risk for NCDs by 14.1% compared to those who lived in urban areas (OR = 1.141; 95% CI : 1.047? 1.244). Odds ratio for unemployment was 1.227 (95% CI: 1.118?1.346). Respondents with primary education were at a higher risk for chronic diseases by 47.1% (OR = 1.471; 95% CI : 1.281?1.687) while those with secondary school were at a higher risk by 27.7% (OR = 1.277; 95% CI : 1.142?1.428) compared to respondents who had higher education. When it comes to Wealth Index, univariate logistic regression analysis showed that respondents who belonged to the poor and middle classes were at a higher risk for NCDs (OR = 2.031; 95% CI : 1.819?2.267; OR = 1.473; 95% CI : 1.343? 1.615) compared to respondents who belonged to the rich class. Multivariate logistic regression analysis did not show statistically significant correlations between the Wealth index and NCDs. Conclusion. Socioeconomic inequalities in health status are the major challenge and should be a target of national health policy in Serbia, not only because they represent social injustice but also because solving the health problems of underprivileged groups of the population can influence improvement of health status of the population as a whole.


2020 ◽  
Author(s):  
Samwel Maina Gatimu ◽  
Thomas Wiswa John

Abstract IntroductionOne in four Kenyans have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is a paucity of evidence on inequality in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality.MethodsWe used data from the 2015 Kenya STEP wise survey for non-communicable diseases risk factors. We included 4,398 respondents aged 18–69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wag staff decomposition analysis.ResultsThe overall concentration index of hypertension in Kenya was − 0.08 (95% CI: −0.14, − 0.02; p = 0.007), showing socioeconomic inequalities in hypertension disfavouring the poor population. Half (52.8%) of the pro-rich inequalities in hypertension was explained by body mass index (52.8%) while 21.1% by socioeconomic factors (paid employment (9.3%), education (7.7%) and poorest wealth quintile (4.1%)) and 17.6% by demographic factors (female gender (11.8%), age (5.2%) and marital status (0.6%)). Regional differences explained 8.1% of the estimated inequality with the Central region alone explaining 6.9% of the observed inequality. Our model explained 98.3% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (− 0.001).ConclusionThe present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.


PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e68219 ◽  
Author(s):  
Sukumar Vellakkal ◽  
S. V. Subramanian ◽  
Christopher Millett ◽  
Sanjay Basu ◽  
David Stuckler ◽  
...  

2012 ◽  
Vol 06 (04) ◽  
pp. 249-251
Author(s):  
M. Braun ◽  
J. Ried

ZusammenfassungDie 65. World Health Assembly hat die Bekämpfung nicht-übertragbarer Krankheiten in den Mittelpunkt globaler Aufmerksamkeit und Aktivität gerückt. Da Übergewicht bzw. Adipositas wesentliche Risikofaktoren für einen erheblichen Teil dieser Erkrankungen darstellen, kommt damit der Prävention (aber auch der Therapie) erhöhten Körpergewichtes in der Programmatik der WHO besondere Bedeutung zu. Gleichzeitig führen die hochgesteckten Ziele der WHO in das fundamentale Dilemma, dass es keine Instrumente gibt, die angestrebten Prävalenz- und Reduktionsraten im vorgegebenen Zeitrahmen zu erreichen. Daraus ergeben sich eine Reihe ethischer und sozialer Fragen, unter anderem nach dem zu Grunde gelegten Modell der Adipositas und den impliziten und expliziten Verantwortlichkeiten für ihre Bekämpfung.


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