Health issues in the industrial port zone of Marseille, France: the Fos EPSEAL community-based cross-sectional survey

Cohen, Alison K.; Richards, T. Anne; Allen, Barbara L.; Ferrier, Yolaine; Lees, Johanna; Smith, Leanne

doi:10.1007/s10389-017-0857-5

Cited by 17 publications

(18 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We conducted participatory health studies using a CBPR approach and epidemiologic methods in three towns. Specifically, we conducted two cross-sectional health surveys of geographically-determined systematic random samples [15]. Our first sample (data collected in 2015) was drawn from two towns (Fos-sur-Mer and Port-Saint-Louis-du-Rhône) located in the heart of the industrial zone of the Étang de Berre region.…”

Section: Methodsmentioning

confidence: 99%

“…Quantitative data were analyzed to report descriptive and analytic statistics. More information is available elsewhere (see Allen et al [17], Cohen et al [15], Lees et al [18,19]) about this process and these findings. The study, including the semi-structured focus group protocol, was approved by the Virginia Tech Institutional Review Board.…”

Section: Methodsmentioning

confidence: 99%

“…Our phase one study revealed numerous chronic illnesses that were much higher than the French population. In fact, elevated disease prevalences remained in direct age and gender standardized analyses we did [15]. We then held 28 focus groups with local residents to further analyze the data and to more comprehensively make relevant meaning from the sometimes-surprising statistical findings.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Collaborative Workshops for Community Meaning-Making and Data Analyses: How Focus Groups Strengthen Data by Enhancing Understanding and Promoting Use

Allen

Lees

Cohen

et al. 2019

IJERPH

Self Cite

View full text Add to dashboard Cite

Community-based participatory research is a growing approach, but often includes higher levels of community engagement in the research design and data collection stages than in the data interpretation stage. Involving study participants in this stage could further knowledge justice, science that aligns with and supports social justice agendas. This article reports on two community-based participatory environmental health surveys conducted between 2015 and 2019 in an industrial region near Marseille, France, and focuses specifically on our approach of organizing focus groups to directly involve residents and community stakeholders in the analysis and interpretation process. We found that, in these focus groups, residents triangulated across many different sources of information—study findings, local knowledge, and different types of expert knowledge—to reach conclusions about the health of their community and make recommendations for what should be done to improve community health outcomes. We conclude that involving residents in the data analysis and interpretation stage can promote epistemic justice and lead to final reports that are more useful to community stakeholders and decision-makers.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Collaborative Workshops for Community Meaning-Making and Data Analyses: How Focus Groups Strengthen Data by Enhancing Understanding and Promoting Use

Allen

Lees

Cohen

et al. 2019

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…60–80%) are destroyed and the insulin production disrupted before the initial type 1 diabetes diagnosis [1]. The etiology of type 1 diabetes is not yet known, but many factors, such as environmental factors [2, 3], such as ozone [4] and ultraviolet B irradiance and vitamin D levels in pregnant women [5], as well as genetic factors [6, 7], the intestinal microbiome [8], parental age, increasing birth weight [9] and increasing rates of cesarean sections are discussed as possible contributing factors. On the other hand, breast-feeding appears to reduce the risk of type 1 diabetes [10].…”

Section: Introductionmentioning

confidence: 99%

Ketoacidosis at onset of type 1 diabetes in children up to 14 years of age and the changes over a period of 18 years in Saxony, Eastern-Germany: A population based register study

et al. 2019

View full text Add to dashboard Cite

Objective The aim of this study was to examine the incidence trends of type 1 diabetes diagnosed with ketoacidosis in Saxony, Germany from 1999 to 2016. Methods The population based Childhood Diabetes Registry of Saxony comprising valid data for all children aged 0–14 years diagnosed with type 1 diabetes from1999 to 2016 were used for the analyses. Direct age-standardized incidence rates were calculated and the effects of age, sex, calendar year, home districts and family history of any types of diabetes on the incidence were modelled using Poisson regression. Trend analyses for standard rate ratios of children with moderate and severe diabetic ketoacidosis versus children with type 1 diabetes with non-diabetic ketoacidosis were performed using join point regression. Results The rate of ketoacidosis at the time of the type 1 diabetes diagnosis was high with 35.2% during the entire observation period in Saxony. The Poisson regression analysis indicated a statistically significant increased occurrence of diabetic ketoacidosis for younger age-groups, but no statistically significant differences between boys and girls. The join point trend analyses show that the proportion of severe and moderate ketoacidosis is increasing disproportionally to the increase in incidence of type 1 diabetes over the years. Conclusion Due to the observed increasing incidence of diabetes as well of diabetic ketoacidosis, an educational prevention campaign is needed in Saxony as soon as possible to aid pediatricians, general physicians as well as general public to identify the early signs of type 1 diabetes.

show abstract

“…Health issues in the Fos EPSEAL study and relevant comparison populations. Barbara Allen adapted fromCohen et al (2017) , "… indeed, what comes to count as legitimate knowledge -does not occur on a symmetrical field, but rather in a complex structure of relations of domination and subordination … [wh]ere dominant scientific cultures define what counts as legitimate knowledge acquisition methods, data, and analysis"…”

mentioning

confidence: 99%

Making effective participatory environmental health science through collaborative data analysis

Allen¹

2020

Toxic Truths

View full text Add to dashboard Cite

Health issues in the industrial port zone of Marseille, France: the Fos EPSEAL community-based cross-sectional survey

Cited by 17 publications

References 22 publications

Collaborative Workshops for Community Meaning-Making and Data Analyses: How Focus Groups Strengthen Data by Enhancing Understanding and Promoting Use

Collaborative Workshops for Community Meaning-Making and Data Analyses: How Focus Groups Strengthen Data by Enhancing Understanding and Promoting Use

Ketoacidosis at onset of type 1 diabetes in children up to 14 years of age and the changes over a period of 18 years in Saxony, Eastern-Germany: A population based register study

Making effective participatory environmental health science through collaborative data analysis

Contact Info

Product

Resources

About