Need for improvement of cardiovascular health: a clustering method to identify cardiovascular health profiles.

BACKGROUND: In France, the overall trend in the incidence of cardiovascular disease is unfavourable, especially in young subjects. This highlights the need to promote cardiovascular health by targeting the main risk factors. Social marketing campaigns to improve cardiovascular health should identify unhealthy behaviour and understand the target audience. The objective of this study was to identify poor cardiovascular health profiles in the French population using a clustering method. METHODS: Subjects aged 18-74 years with no history of cardiovascular disease were included from the Esteban cross-sectional survey (2014-16). To evaluate cardiovascular health, seven items were considered as defined by the American Heart Association: blood glucose, blood cholesterol, blood pressure, body mass index, cigarette smoking, diet and physical activity. Cardiovascular health profiles were identified from these seven items by combining multiple correspondence analysis with hierarchical clustering and partitioning. RESULTS: A total of 1673 subjects were included in the main analysis. Five cardiovascular health profiles were identified: two profiles corresponded to subjects with poor cardiovascular health (mainly older men with a low socioeconomic status), two to subjects with intermediate cardiovascular health (one mainly comprised of young women with a low socioeconomic status and the other of young subjects with a high socioeconomic status) and one to subjects with good cardiovascular health (mainly older women). CONCLUSION: This description of cardiovascular health profiles, which led to the identification and characterization of target audiences for future population-based prevention campaigns, should be the starting point for improving cardiovascular health in the French population.

Relation of urinary bisphenol concentration and diabetes or prediabetes in French adults: A cross-sectional study.

BACKGROUND: International research has recently shown an association between exposure to bisphenol A (BPA) and the risk of diabetes, although limited results are available for exposure to bisphenol S (BPS) and bisphenol F (BPF). The aim of this study was to examine the relationships between impregnation with BPA, BPS, and BPF and the prevalence of diabetes or prediabetes in the French adult population. METHODS: Based on the Esteban cross-sectional study, 852 adults aged 18 to 74 years living in France were included. To assess the link between urinary concentration of BPA, BPS and BPF and a state of dysglycemia (diabetes or prediabetes), logistic regression multivariable models were performed and adjusted for known risk factors for diabetes and urine creatinine concentration. RESULTS: The percentage of included individuals with diabetes or prediabetes was 17.8% (95% CI = [15.3-20.4]). Urinary BPA concentration was significantly higher in people with diabetes or prediabetes, independent of the known risk factors for diabetes (OR for an increase of 0.1 units in log-transformed concentration of BPA (µg/L) = 1.12; 95%CI = [1.05-1.19], p < 0.001). However, we did not find any significant independent association between urinary BPS and BPF levels and the prevalence of diabetes or prediabetes. CONCLUSIONS: In this sample, considering the diabetes risk factors, diabetes or prediabetes was positively associated with higher urinary BPA concentration but not with urinary BPS and BPF concentrations. However, analysis of prospective longitudinal studies are still necessary to demonstrate a causal link between bisphenol exposure and the risk of diabetes or prediabetes.

Time trend in excess mortality in children with type 1 diabetes from 1987 to 2016 in mainland France.

BACKGROUND: Mortality risk for children with type 1 diabetes (T1D) is unknown in France and their causes of death are not well documented. AIM: To determine the standardized mortality ratios (SMRs) and causes of death in children aged 1-14 years with T1D from 1987 to 2016. METHODS: The French Center for Epidemiology on Medical Causes of Death collected all death certificates in mainland France. SMRs, corrected SMRs (accounting for missing cases of deaths unrelated to diabetes), and 95% confidence intervals were calculated. RESULTS: Of 146 deaths with the contribution of diabetes, 97 were due to T1D. Mean age at death of the subjects with T1D was 8.8 ± 4.1 years (54% males). The cause of death was diabetic ketoacidosis (DKA) in 58% of the cases (70% in subjects 1-4 years), hypoglycemia or dead-in-bed syndrome in 4%, related to diabetes but not described in 24%, and unrelated to diabetes in 14%. The SMRs showed a significant decrease across the years, except for the 1-4 age group. In the last decade (2007-2016), the crude and corrected SMRs were significantly different from 1 in the 1-4 age group (5.4 [2.3; 10.7] and 6.1 [2.8; 11.5]), no longer significant in the 5-9 age group (1.7 [0.6; 4.0] and 2.1 [0.8; 4.5]) and borderline significant in the 10-14 age group (1.7 [0.8; 3.2] and 2.3 [1.2; 4.0]). CONCLUSIONS: Children with T1D aged 1-4 years still had a high mortality rate. Their needs for early recognition and safe management of diabetes are not being met.

Prevalence of prediabetes and undiagnosed type 2 diabetes in France: Results from the national survey ESTEBAN, 2014-2016.

AIM: To assess the prevalence of prediabetes, undiagnosed diabetes and diagnosed diabetes in France, among adults between 2014 and 2016 using data from the nationwide Esteban survey. METHODS: National cross-sectional study conducted between 2014 and 2016 in metropolitan France. Individuals aged 18 to 74 were recruited with a 3-stage geographic sampling. They completed two face-to-face interviews, filled in a self-administered questionnaire and underwent a medical examination with the collection of biological samples. Their data were linked to the National Health Data System to identify anti-diabetic drugs reimbursement. Prediabetes and undiagnosed diabetes were defined as no diagnosis of diabetes and 6.1 mmol/l ≤ Fasting Plasma Glucose (FPG) < 7.0 mmol/l for prediabetes and FPG ≥ 7.0 mmol/l for undiagnosed diabetes. Non-pharmacologically treated diabetes and pharmacologically treated diabetes were defined as self-reported diabetes without or with self-reported or reimbursed antidiabetic medication, respectively. Estimated prevalence were weighted to take into account survey design and non-response. RESULTS: The ESTEBAN survey recruited 3476 adults, 2270 were included in this analysis. The weighted prevalence was 1.7% [1.1 - 2.4] for undiagnosed diabetes (men: 2.7%, women; 0.9%), 9.9% [8.3 - 11.5] for prediabetes (men: 13.2%, women: 7.0%), 5.7% [4.3 - 7.1] for diagnosed diabetes. Among the diagnosed cases, 79% were pharmacologically treated. Among all diabetes cases, 23% were undiagnosed. CONCLUSION: The prevalence of undiagnosed diabetes and prediabetes is increasing in France. Our results highlight the need to increase primary prevention and reinforce secondary prevention of diabetes.

Trends in childhood type 1 diabetes incidence in France, 2010-2015.

AIMS: To estimate type 1 diabetes incidence in children in France and its evolution between 2010 and 2015, based on comprehensive medico-administrative databases. METHODS: The algorithm built to identify new cases of type 1 diabetes selected children aged between 6 months and 14 years who had at least one hospital stay for diabetes, followed by their first insulin treatment, excluding children suffering from another form of diabetes. Age and sex specific annual incidence rates were estimated and time trend was analyzed using Poisson regression. RESULTS: A total of 12 067 children were identified as newly diagnosed with type 1 diabetes and the annual incidence rates increased between 2010 and 2015 (from 15.4 [95% Confidence Interval: 14.7; 16.1] to 19.1 [18.3; 19.9] per 100 000 person-years), among boys and girls, and in each age group (4 and under, 5-9, 10-14 year olds). The annual rate of increase was 4.0% [3.4; 4.6]. This trend was not significantly different between each gender, and each age group. CONCLUSIONS: Valid database information on disease incidence is essential for healthcare planning and provides a valuable resource for health research. An increase of the incidence rate of type 1 diabetes in children was highlighted in both sexes and in all age groups.

Management of pregnancy based on healthcare consumption of women who delivered in France in 2015: Contribution of the national health data system (SNDS).

OBJECTIVE: This study was designed to further our knowledge of the management of pregnant women based on the national health data system (SNDS). MATERIAL AND METHODS: Women covered by the national health insurance general scheme or a local mutualist section, who delivered in 2015. RESULTS: Among the 672,182 women included (mean age: 31 years, SD 5.3), 0.3% were under the age of 18 years, 4% lived in a French overseas department (<18 years: 21%), 17% had complementary universal health insurance coverage (<18 years: 75%), 1.2% presented a mental illness, 0.6% had a cancer, and 0.4% had cardiovascular disease. At least one outpatient visit with a gynaecologist or midwife was detected for 93% of women (first trimester (T1): 75%), specific or nonspecific pelvic ultrasound was performed in 98% (T1: 92%), blood glucose assay was performed in 78% (T1: 61%), and an oral glucose tolerance test was performed in 58%. Before delivery, 0.2% of women had at least one admission to the intensive care unit and 22% had at least one hospital stay (<18 years: 38%), for which the principal diagnoses were: false labour (4.5%), threatened preterm labour (2.5%), surveillance of high-risk pregnancy (2.6%), diabetes (2.6%), and hypertension (0.7%). The preterm delivery rate was 6.7% (<18 years: 14%, ≥40 years: 9%). Although 20% of deliveries were performed by caesarean section, 16% of vaginal deliveries required instrumental extraction. DISCUSSION: SNDS data enrich the data derived from periodic national perinatal surveys, such as the poor follow-up of adolescent girls. These data can promote the elaboration and monitoring of annual indicators.

[Epidemiology of type 1 diabetes and its complications]. / Épidémiologie du diabète de type 1 et de ses complications.

Epidemiology of type 1 diabetes and its complications. The prevalence of type 1 diabetes in adult is estimated at 0.3 to 0.5%, or 10% of all types of diabetes. In youth less than 15 years, in France, the incidence of type 1 diabetes is 18 per 100,000 over the period 2013-2015 (based on the National Health Data System), corresponding to an approximate prevalence of 1.3 per 1000. The incidence of diabetes in youth increases by 3 to 4% per year, an increase seen in France since 1988. With the intensification of treatment (resulting in HbA1c around 8% on average over the entire follow-up), after 30 years of progression of diabetes (in subjects aged 50 years on average), it was observed that the prevalence of severe retinopathy (requiring laser treatment) was nearly 15%, microalbuminuria 15%, macroproteinuria 4%, advanced renal failure less than 2%, clinical neuropathy 24%, and macrovascular complications around 5%.

Épidémiologie du diabète et de ses complications. La prévalence du diabète de type 1 chez l'adulte est estimée entre 0,3 à 0,5 %, soit 10 % de l'ensemble des diabètes. Chez les moins de 15 ans, en France, l'incidence du diabète de type 1 est de 18 pour 100 000 sur la période 2013-2015 (à partir du système national des données de santé), correspondant à une prévalence de l'ordre de 1,3 pour 1 000. L'incidence du diabète du sujet jeune augmente de 3 à 4 % par an, augmentation repérée en France depuis l'année 1988. Avec l'intensification du traitement (aboutissant à une hémoglobine glyquée autour de 8 % en moyenne sur l'ensemble du suivi), après 30 ans d'évolution du diabète (chez des sujets âgés de 50 ans en moyenne), il a été observé une fréquence de rétinopathie sévère (nécessitant un traitement par laser) de près de 15 %, de microalbuminurie de 15 %, de macroprotéinurie de 4 %, d'insuffisance rénale avancée de moins de 2 %, de neuropathie clinique de 24 %, et de complications macrovasculaires de l'ordre de 5 %.

Survival Analysis with Multiple Causes of Death: Extending the Competing Risks Model.

Statistics on mortality related to each disease are usually based on the so-called underlying cause of death, which is selected from the diseases declared on the standardized death certificate using international rules. However, the assumption that each death is caused by exactly one disease is debatable, particularly with an aging population in an era where infectious diseases are replaced by chronic and degenerative diseases. The need to consider multiple causes of death has been acknowledged in epidemiologic research, with a growing body of literature producing statistics based on any mention of a disease on the death certificate. Yet there has not been a formal framework proposed for the statistical modeling of death arising from multiple causes. We propose a model for multiple cause of death data grounded on an empirical approach that assigns weights to each cause on the death certificate. We describe how this model for multiple-cause mortality, which extends the usual competing risks model used to conceptualize single-cause mortality, can serve to study the burden and etiology of mortality related to each disease, particularly using Cox regression methodology. We discuss how the multiple-cause, single-cause, and "any-mention" approaches compare in this regard. A simulation study and an application to a study of socioeconomic inequalities in mortality show the value of the proposed methods for exploiting this precious source of data to gain new insights, especially for certain diseases. See video abstract at, http://links.lww.com/EDE/B84.

Quantifying cause-related mortality by weighting multiple causes of death.

OBJECTIVE: To investigate a new approach to calculating cause-related standardized mortality rates that involves assigning weights to each cause of death reported on death certificates. METHODS: We derived cause-related standardized mortality rates from death certificate data for France in 2010 using: (i) the classic method, which considered only the underlying cause of death; and (ii) three novel multiple-cause-of-death weighting methods, which assigned weights to multiple causes of death mentioned on death certificates: the first two multiple-cause-of-death methods assigned non-zero weights to all causes mentioned and the third assigned non-zero weights to only the underlying cause and other contributing causes that were not part of the main morbid process. As the sum of the weights for each death certificate was 1, each death had an equal influence on mortality estimates and the total number of deaths was unchanged. Mortality rates derived using the different methods were compared. FINDINGS: On average, 3.4 causes per death were listed on each certificate. The standardized mortality rate calculated using the third multiple-cause-of-death weighting method was more than 20% higher than that calculated using the classic method for five disease categories: skin diseases, mental disorders, endocrine and nutritional diseases, blood diseases and genitourinary diseases. Moreover, this method highlighted the mortality burden associated with certain diseases in specific age groups. CONCLUSION: A multiple-cause-of-death weighting approach to calculating cause-related standardized mortality rates from death certificate data identified conditions that contributed more to mortality than indicated by the classic method. This new approach holds promise for identifying underrecognized contributors to mortality.