2020
DOI: 10.1371/journal.pone.0243422
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Socioeconomic and behavioral determinants of cardiovascular diseases among older adults in Belgium and France: A longitudinal analysis from the SHARE study

Abstract: Despite advances in the healthcare system, cardiovascular diseases (CVDs) are still an important public health problem with disparities in the burden within and between countries. Studies among the adult population documented that socioeconomic and environmental factors play a role in the incidence and progression of CVDs. However, evidence is scarce on the socioeconomic determinants and the interplay with behavioral risks among older adults. Therefore, we identified socioeconomic and behavioral determinants o… Show more

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Cited by 8 publications
(7 citation statements)
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“…As in our study, Hassen et al found a higher risk of CVD in patients with no social support, lowest level of education, and lowest level of wealth, although localized only to a non-THA population (16). Cohabitation has been proposed as an unconventional risk factor, as differences in cardiovascular events and mortality have been observed among married and unmarried individuals, where marriage has a protective role (17).…”
Section: Ses Markers and The Risk Of Readmission Due To Cvdsupporting
confidence: 71%
“…As in our study, Hassen et al found a higher risk of CVD in patients with no social support, lowest level of education, and lowest level of wealth, although localized only to a non-THA population (16). Cohabitation has been proposed as an unconventional risk factor, as differences in cardiovascular events and mortality have been observed among married and unmarried individuals, where marriage has a protective role (17).…”
Section: Ses Markers and The Risk Of Readmission Due To Cvdsupporting
confidence: 71%
“…This may stem from the influence of education, which modified other risk factors. Numerous studies have demonstrated that greater awareness and higher standards of living, associated with higher education level, generally lead to better health [40], especially among women [41]. In addition, analyses confirmed that in the study group, mostly women with the highest education (45.21%), who worked in a sitting position, reported the longest sitting time (>6 hours/day).…”
Section: Plos Onesupporting
confidence: 59%
“…Ten studies (Christensen et al 2011 ; Donyavi et al 2011 ; Masoudkabir et al 2012 ; Floud et al 2016 ; Kilpi et al 2016 , 2017 ; Kriegbaum et al 2019 ; Rosengren et al 2019 ; Hassen et al 2020 ; Ge et al 2022 ) assessed the effects of education on CVD outcomes. A random-effects model (I 2 = 82.8%, P = 0.000; I 2 = 67.8%, P = 0.003) was adopted to combine the effect sizes, and the analysis results revealed that the risk of CVD incidence in low- and middle-education groups was 44% and 20% higher than that in the high-education group, respectively [HR = 1.44, 95%CI (1.28, 1.63); HR = 1.20, 95%CI (1.11, 1.30)].…”
Section: Resultsmentioning
confidence: 99%