Joane  Matta

Dr. Joane Matta

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 November 2018 in Nutrients
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Journal Article
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JMJoane Matta
Joane Matta
SCSébastien Czernichow
Sébastien Czernichow
EEmmanuelle Kesse-Guyot
Emmanuelle Kesse-Guyot
NHNicolas Hoertel
Nicolas Hoertel
FLFrédéric Limosin
Frédéric Limosin
CLCédric Lemogne
Cédric Lemogne
The association between depressive symptoms and vegetarian diets is controversial. This study examines the cross-sectional association between depressive symptoms and vegetarian diets while controlling for potential confounders. Among 90,380 subjects from the population-based Constances cohort, depressive symptoms were defined by a score ≥19 on the Centre of Epidemiologic Studies-Depression (CES-D) scale and diet types (omnivorous, pesco-vegetarian, lacto-ovo-vegetarian and vegan) were determined with a food frequency questionnaire. Associations between depressive symptoms and diet were estimated through logistic regressions adjusting for socio-demographics, other foods, alcohol and tobacco consumption, physical activity and health-related concerns; specificity analyses considered the exclusion of any other food group. Depressive symptoms were associated with pesco-vegetarian and lacto-ovo-vegetarian diets in multivariable analyses (Odds-Ratio [95% confidence interval]: 1.43 [1.19–1.72] and 1.36 [1.09–1.70], respectively), especially in case of low legumes intake (p for interaction < 0.0001), as well as with the exclusion of any food group (e.g., 1.37 [1.24–1.52], 1.40 [1.31–1.50], 1.71 [1.49–1.97] for meat, fish and vegetables exclusion, respectively). Regardless of food type, the Odds-Ratio of depressive symptoms gradually increased with the number of excluded food groups (p for trend < 0.0001). Depressive symptoms are associated with the exclusion of any food group from the diet, including but not restricted to animal products.

1 May 2018 in La Presse Médicale
Verified
Journal Article
Closed access
JMJoane Matta
Joane Matta
CCClaire Carette
Claire Carette
CLClaire Rives Lange
Claire Rives Lange
SCSébastien Czernichow
Sébastien Czernichow

10 May 2023 in ERJ Open Research
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Journal Article
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PBPauline Balagny
Pauline Balagny
EVEmmanuelle Vidal-Petiot
Emmanuelle Vidal-Petiot
ARAdeline Renuy
Adeline Renuy
JMJoane Matta
Joane Matta
JFJustine Frija-Masson
Justine Frija-Masson
EWEmmanuel Wiernik
Emmanuel Wiernik
Background: Obstructive sleep apnoea (OSA) is associated with increased morbidity and mortality. Although the disorder has been well studied in selected high-risk populations, few data exist on its prevalence in the general population. We aimed to assess the prevalence and determinants of OSA in France.Methods: Data from participants of the French population-based CONSTANCES cohort aged 18–69 years at inclusion and being treated for sleep apnoea or screened for OSA in 2017 using the Berlin Questionnaire were analysed. Weighted analyses were performed to provide recent and representative results in the general population.Results: Among 20 151 participants, the prevalence of treated sleep apnoea was 3.5% (95% CI 3.0–3.9%). The prevalence of untreated subjects with a positive Berlin Questionnaire was 18.1% (95% CI 17.3–19.2%) for a total weighted prevalence of treated sleep apnoea or high risk of OSA of 20.9% (95% CI 20.0–21.9%). Regarding prevalence of OSA symptoms, it was 37.2% (95% CI 36.1–38.3%) for severe snoring and 14.6% (95% CI 13.8–15.5%) for hypersomnolence. In multivariable logistic regression analysis, male sex, age, previous cardiovascular events, smoking, low educational level, low physical activity and depressive symptoms were associated with having either treated sleep apnoea or a positive Berlin Questionnaire.Conclusion: In this large French population-based cohort, one in five participants had a high likelihood of OSA, whereas only 3.5% were treated for the disorder, suggesting major underdiagnosis in the general population. OSA diagnosis should be considered more often in people with risk factors such as depressive symptoms as well as unhealthy behaviours and socioeconomic conditions.

30 May 2020 in International Journal of Public Health
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AFAnne Laure Féral-Pierssens
Anne Laure Féral-Pierssens
CRClaire Rives-Lange
Claire Rives-Lange
JMJoane Matta
Joane Matta
VRVictor G. Rodwin
Victor G. Rodwin
MGMarcel Goldberg
Marcel Goldberg
SCSebastien Czernichow
Sebastien Czernichow

19 July 2023 in Molecular Psychiatry
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Journal Article
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JMJoane Matta
Joane Matta
OROlivier Robineau
Olivier Robineau
EWEmmanuel Wiernik
Emmanuel Wiernik
FCFabrice Carrat
Fabrice Carrat
GSGianluca Severi
Gianluca Severi
CLCédric Lemogne
Cédric Lemogne

6 April 2017 in PLOS ONE
Verified
Journal Article
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JMJoane Matta
Joane Matta
ASArchana Singh-Manoux
Archana Singh-Manoux
AGAlice Gueguen
Alice Gueguen
JMJoane Matta
Joane Matta
CLCedric Lemogne
Cedric Lemogne
SCSébastien Czernichow
Sébastien Czernichow
The health correlates of the metabolically healthy obese (MHO) phenotype, particularly in relation to depressive symptoms remains unclear. Accordingly, we examined the risk of depressive symptoms in this phenotype using a 16-year follow-up prospective study. A sample of 14 475 participants (75% men), aged 44–59 years in 1996, was drawn from the Gazel cohort. Obesity was defined as body mass index (BMI) ≥ 30 kg/m2 and metabolic health as having none of the self-reported following cardiovascular risk factors: hypertension, type 2 diabetes and dyslipidemia. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression (CES-D) scale in 1996, 1999, 2002, 2005, 2008 and 2012. Generalized Estimating Equations (GEE) were used to estimate the risk of depressive symptoms during a follow-up of 16 years. In multivariate analyses, metabolically unhealthy normal weight [Odds Ratio (OR) = 1.37; 95% Confidence Interval (CI): 1.25–1.51], overweight [1.44 (1.31–1.59)] and obese [1.30 (1.10–1.54)] but not MHO participants [1.04 (0.81–1.32)] had higher risk of depressive symptoms at the start of follow-up compared to metabolically healthy normal weight individuals. Depressive symptoms decreased over time in metabolically healthy normal weight individuals [0.52 (0.50–0.55)], this decrease was less marked only in metabolically unhealthy obese participants [1.22 (1.07–1.40)]. Compared to MHO participants, metabolically unhealthy obese individuals were at increased risk of depression at the start of follow-up, but with a similar reduction of this risk over time. Poor metabolic health, irrespective of BMI was associated with greater depressive symptoms at the start of follow-up, whereas a poorer course of depressive symptoms over time was observed only in those with both obesity and poor metabolic health.