Prevalence and management of cardiovascular risk factors in Portuguese living in Portugal and Portuguese who migrated to Switzerland

Alves, Luís Alberto Marques; Azevedo, Ana; Barros, Henrique; Vollenweider, Péter; Waeber, Gérard; Marques‐Vidal, Pedro

doi:10.1186/s12889-015-1659-8

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…Anthropometrics were obtained with the participant wearing light clothing and no footwear as reported in previous publications 41,42 . Biomarkers were measured at the date of evaluation using fasted blood samples and were analyzed under standardized laboratory procedures reported elsewhere 41,42 . Blood pressure was measured according to standard procedures after an appropriate period of resting 38,39 .…”

Section: Methodsmentioning

confidence: 99%

Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study

Ribeiro

Fraga

Kelly-Irving

et al. 2019

Sci Rep

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Living in deprived neighbourhoods may have biological consequences, but few studies have assessed this empirically. We examined the association between neighbourhood deprivation and allostatic load, a biological marker of wear and tear, taking into account individual’s socioeconomic position. We analysed data from three cohort studies (CoLaus-Switzerland; EPIPorto-Portugal; Whitehall II-UK) comprising 16,364 participants. We defined allostatic load using ten biomarkers of dysregulated metabolic, cardiovascular, and inflammatory systems (body mass index; waist circumference; total, high and low density lipoprotein cholesterol; triglycerides; glucose; systolic and diastolic blood pressure; C-reactive protein). Mixed Poisson regression models were fitted to examine associations with neighbourhood deprivation (in quintiles, Q1-least deprived as reference). After adjustment for confounding variables, participants living in the most deprived quintile had 1.13 times higher allostatic load than those living in the least deprived quintile (Relative Risk, RR, for Q2 RR = 1.06, 95% CI 1.03-1.09; Q3 = 1.06, 1.03–1.10; Q4 = 1.09, 1.06–1.12; Q5 = 1.13, 1.09–1.16). This association was partially modified by individual’s socioeconomic position, such that the relative risk was higher in participants with low socioeconomic position (Q5 vs Q1 1.16, 1.11–1.22) than those with high socioeconomic position (Q5 vs Q1 1.07, 1.01–1.13). Neighbourhood deprivation is associated with biological wear and tear, suggesting that neighbourhood-level interventions may yield health gains.

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Section: Methodsmentioning

confidence: 99%

Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study

Ribeiro

Fraga

Kelly-Irving

et al. 2019

Sci Rep

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“…Some of those studies also show that an unhealthy lifestyle (smoking or alcohol consumption) can be a trigger for mental health problems (Gonçalves and Cook 2016 ). In contrast, the few available studies for Europe show that there are no differences in lifestyle between migrants and non-migrants in their country of origin (Alves et al 2013 , 2015 ).…”

Section: Introductionmentioning

confidence: 96%

Lifestyle differences between older migrants and non-migrants in 14 European countries using propensity score matching method

Arsenijevic

Groot

2017

Int J Public Health

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ObjectivesWe examine the differences in lifestyle between four groups of migrants—first generation of older migrants originating from one of the EU countries, Africa or the Middle East and second-generation older EU migrants—with non-migrants in their country of destination.MethodsWe use wave 5 of the SHARE data. To control for differences in socio-demographic characteristics, cultural factors and duration of stay in country of destination between migrants and non-migrants, we use propensity matching score analysis.ResultsOlder migrants from Southern European countries are more likely to smoke than non-migrants in their country of origin. Older migrants originating from Africa and the Middle East are more likely to smoke than non-migrants in their country of destination. Some groups of second-generation older migrants are more likely to consume alcohol and to have lower levels of physical activity than non-migrants in their country of destination.ConclusionsOur results show that differences in lifestyle between migrants and non-migrants exist, but they are not solely related to their migrant status. Cultural and socio-demographic characteristics also play a role.

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“…Open access compared with individuals who reported being born in Switzerland. [21][22][23][24][25][26]…”

Section: Introductionmentioning

confidence: 99%

“…We focused on SES and the specific characteristics of migrant Cohort patients compared with individuals who reported being born in Switzerland. 21–26 …”

Section: Introductionmentioning

confidence: 99%

Longitudinal panel data study of self-rated health among migrants in French-speaking Switzerland, 2003–2017

et al. 2020

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IntroductionStudies have documented poorer health among migrants than natives of several European countries, but little is known for Switzerland. We assessed the association between country of birth, socioeconomic factors and self-reported health (SRH) in a prospective cohort of adults living in Lausanne, Switzerland.MethodsWe used the data from the Colaus panel data study for three periods: 2003–2006 (n=6733), 2009–2012 (n=5064) and 2014–2017 (n=4555) corresponding to 35% of the source population. The response variable was SRH. Main explanatory variables were socioeconomic status, educational level, professional status, income, gender, age and years in Switzerland. The main covariate was country of birth, dichotomised as born in Switzerland or not. We specified random effects logistic regressions and used Bayesian methods for the inference.ResultsBeing born outside of Switzerland was not associated with worse SRH (OR 1.09, 95% CI 0.52 to 2.31). Several other patient variables were, however, predictive of poor health. Educational level was inversely associated with the risk of reporting poor health. Monthly household income showed a gradient where higher income was associated with lower odds of reporting poor SRH, for both for migrants and non-migrants. Migrant women had lower odds of reporting poor SRH than men (OR 0.73, 95% CI 0.55 to 0.98). Migrant people living in couple have less risk of reporting poor SRH than people who live alone and the risk is lower for migrant people living in couple with children (OR 0.66, 95% CI 0.55 to 0.80).DiscussionMigrant status was not associated with poorer SRH. However, differences in SRH were observed based on gender, age and several social determinants of health.

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Prevalence and management of cardiovascular risk factors in Portuguese living in Portugal and Portuguese who migrated to Switzerland

Cited by 5 publications

References 29 publications

Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study

Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study

Lifestyle differences between older migrants and non-migrants in 14 European countries using propensity score matching method

Longitudinal panel data study of self-rated health among migrants in French-speaking Switzerland, 2003–2017

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