Psychological burden associated with incident persistent symptoms and their evolution during the COVID-19 pandemic: a prospective population-based study.

BACKGROUND: Identifying factors that predict the course of persistent symptoms that occurred during the COVID-19 pandemic is a public health issue. Modifiable factors could be targeted in therapeutic interventions. OBJECTIVE: This prospective study based on the population-based CONSTANCES cohort examined whether the psychological burden associated with incident persistent symptoms (ie, that first occurred from March 2020) would predict having ≥1 persistent symptom 6-10 months later. METHODS: A total of 8424 participants (mean age=54.6 years (SD=12.6), 57.2% women) having ≥1 incident persistent symptom at baseline (ie, between December 2020 and February 2021) were included. The psychological burden associated with these persistent symptoms was assessed with the Somatic Symptom Disorder-B Criteria Scale (SSD-12). The outcome was having ≥1 persistent symptom at follow-up. Adjusted binary logistic regression models examined the association between the SSD-12 score and the outcome. FINDINGS: At follow-up, 1124 participants (13.3%) still had ≥1 persistent symptom. The SSD-12 score at baseline was associated with persistent symptoms at follow-up in both participants with (OR (95% CI) for one IQR increase: 1.42 (1.09 to 1.84)) and without SARS-CoV-2 infection prior to baseline (1.39 (1.25 to 1.55)). Female gender, older age, poorer self-rated health and infection prior to baseline were also associated with persistent symptoms at follow-up. CONCLUSIONS: The psychological burden associated with persistent symptoms at baseline predicted the presence of ≥1 persistent symptom at follow-up regardless of infection prior to baseline. CLINICAL IMPLICATIONS: Intervention studies should test whether reducing the psychological burden associated with persistent symptoms could improve the course of these symptoms.

Proportion of At-Risk Alcohol Consumers According to the New French Guidelines: Cross-Sectional Weighted Analyses From the CONSTANCES Cohort.

Objective: To estimate the proportion of the participants of the French national population-based CONSTANCES cohort exceeding the new low-risk drinking guidelines according to sociodemographic and clinical factors. Methods: From 34,470 participants with follow-up data in 2019, among volunteers aged 18-69 years and invited to enroll in the CONSTANCES cohort in 2016 and 2017, weighted prevalence and odds ratios with 95% confidence intervals (CI) exceeding the guidelines using logistic regressions were presented stratified for age, gender, education, occupational grade, employment, income, marital status, pregnancy, work stress, depression, alcohol dependence, binge drinking, cannabis use, smoking status, e-cigarette use, cardiovascular diseases, and cancer. Results: The guidelines were exceeded more by men at 60.2% (95%CI: 59.3%-61.0%) than by women at 36.6% (95%CI: 35.9%-37.4%). Exceeding the guidelines increased with age, socioeconomic status, smoking, vaping, using cannabis, binge drinking, and alcohol dependence. Being depressed was associated with exceeding the guidelines in women. Even though pregnant women were less likely to exceed the guidelines, 7.6% (95%CI: 5.4%-10.6%) were at-risk drinkers. Conclusion: These findings highlight the need to implement effective prevention measures for at-risk alcohol use among the French population.

Prevalence of self-reported severe periodontitis: Data from the population-based CONSTANCES cohort.

AIM: To assess the prevalence of severe periodontitis based on the population-based CONSTANCES cohort using a validated self-reported questionnaire. MATERIALS AND METHODS: Individuals were selected from the adult population in France using a random sampling scheme. Analyses were restricted to those invited in 2013-2014 who completed the periodontal health questionnaire at the 2017 follow-up. The risk of severe periodontitis was assessed using the periodontal screening score (PESS) and weighting coefficients were applied to provide representative results in the general French population. RESULTS: The study included 19,859 participants (9204 men, mean age: 52.8 ± 12.6 years). Based on a PESS ≥ 5, 7106 participants were at risk of severe periodontitis, corresponding to a weighted prevalence of 31.6% (95% confidence interval: 30.6%-32.7%). This prevalence was higher among participants aged 55 and over, those with lower socio-economic status as well as current smokers, e-cigarette users and heavy drinkers. Among individuals at risk of severe periodontitis, only 18.8% (17.3%-20.4%) thought they had gum disease, although 50.5% (48.6%-52.5%) reported that their last dental visit was less than 6 months. CONCLUSIONS: The present survey indicates that (1) self-reported severe periodontitis is highly prevalent with marked disparities between groups in the general French adult population, and (2) periodontitis could frequently be under-diagnosed given the low awareness.

Depressive symptomatology from a network perspective: Differences in the experience of symptoms involved in the self-recognition of depression and the diagnosis process by social position.

BACKGROUND: While social disparities in depression are well-documented, the symptom experience across social positions remains less studied. AIMS: This study examines the connections between depressive symptoms and self-recognizing a depressive episode, on the one hand, and clinical diagnosis, on the other hand, by three social position indicators. METHODS: We analyzed baseline data from a population-based cohort of adults living in France, grouping participants by three indicators: education, financial difficulties, and occupation, and stratifying by sex. Utilizing a psychometric network approach, we estimated 24 networks. Nodes corresponded to the 20 CES-D items and 1 external variable, either 'Limitations due to depression' or 'Clinical depression'. Comparisons between socially disadvantaged and advantaged groups across the three social indicators were made in terms of network structures, global strength, and edge weights involving symptoms and both external nodes. RESULTS: The study included data from 201,952 participants. Individuals in lower social positions exhibited higher rates of depressive-related variables. Four depressive symptoms emerged as crucial, being linked both to 'Clinical depression' and 'Limitations' across all social positions. Socially disadvantaged groups had denser networks. Some of the tests comparing network structures according to social position were significant, suggesting differences in the symptom activation chains. Connections between each external node and 'Felt depressed' and 'Could not get going' were non-invariant in educational and financial-based networks. CONCLUSIONS: Findings highlight four depressive symptoms, likely to play a key role in the experience of depression across all social positions. Other insights from specific symptoms could be used for improving depression care among disadvantaged populations.

How do men and women differ in their depressive symptomatology? A gendered network analysis of depressive symptoms in a French population-based cohort.

BACKGROUND: The experience of depressive manifestations and the presentation of symptoms in clinical settings may differ in men and women. Despite the extensive literature, it remains unclear how depressive manifestations interact at symptom levels in men and women. First, we aimed to describe and compare depressive networks by sex. Second, we examined symptom connections to Clinical depression and Functional Limitations as a proxy of self-recognition of a depressive episode. METHODS: We estimated networks from the 20 CES-D items in men and women from a large population-based French cohort. We computed centrality measures and ran comparisons. Then, we re-estimated two networks in men and women separately, adding, on the one hand, Clinical Depression and, on the other hand, Limitations due to a depressive episode. RESULTS: Over 200,000 participants were included in this study. Women were twice as likely to have a previous diagnosis of depression. Sex-ratio was less pronounced (1,7:1) for Limitations due to depression. Centrality measures revealed similar symptom patterns. However, network structures differed between men and women. We found some symptom connections to Clinical depression and Limitations to be non-invariant according to sex. LIMITATIONS: Cross-sectional data does not capture the direction of the connections between symptoms and an eventual diagnosis. We lacked data about the diagnosis's context and could not account for other factors influencing depressive symptomatology. CONCLUSIONS: Network structures differed, suggesting gender-specific mechanisms in activating symptoms and depressive states. Addressing central symptoms evoking depressed moods with tailored interventions may serve to tackle depressive states in men and women.

Tobacco use and employment status: A cross-sectional analysis of the CONSTANCES cohort / Liens entre le statut tabagique et la situation vis-à-vis de l'emploi : analyse transversale de la cohorte CONSTANCES

This study aims to estimate the prevalence of tobacco use in 2017 and 2019 in the French population covered by the Régime Général d'Assurance Maladie according to employment status. From the French national CONSTANCES cohort, 18,008 randomly recruited volunteers aged between 18 and 69 years, affiliated to the Régime Général d'Assurance Maladie and enrolled in 2017, were included in the analysis. The prevalence of tobacco use according to employment status was estimated. Estimates of these prevalence data were calculated in 2017 and 2019 after correction for selection bias at inclusion and non-response at follow-up. In 2019, smoking prevalence was higher among unemployed people (29.2% among men and 20.7% among women) than among employed people (16.5% among men and 13.8% among women). Smoking prevalence was highest among those not in work for health reasons (38.5% among men and 35.8% among women). Smokers were more likely to be unemployed than non-smokers (OR 2.63 [95% confidence interval (CI): 1.79; 3.85] in men and OR 1.55 [95% CI: 1.08; 2.22] in women). Among men, the prevalence of employed people among light smokers (<10 cigarettes/day) significantly decreased between 2017 (87.1%) and 2019 (74.8%). These results underline the importance of reinforcing smoking prevention campaigns among the unemployed, particularly for health reasons.

Estimer les prévalences d'usage de tabac en 2017 et en 2019 en population française couverte par le Régime Général d'Assurance Maladie en fonction du statut vis-à-vis de l'emploi. À partir d'un échantillon de 18 008 volontaires inclus en 2017 dans CONSTANCES, une cohorte nationale en population générale française ayant recruté de manière aléatoire des volontaires de 18-69 ans affiliés au Régime Général d'Assurance Maladie, les prévalences d'usage du tabac en fonction de du statut vis-à-vis de l'emploi ont été estimées en 2017 et en 2019 après correction pour les biais de sélection à l'inclusion et de non-réponse au suivi. En 2019, la prévalence du tabagisme était plus élevée chez les actifs inoccupés (29,2 % chez les hommes et 20,7 % chez les femmes) par rapport aux actifs occupés (16,5 % chez les hommes et 13,8 % chez les femmes). La prévalence du tabagisme la plus élevée concernait les personnes sans activité professionnelle pour raisons de santé (38,5 % chez les hommes et 35,8 % chez les femmes). Les fumeurs étaient plus à risque d'être actifs inoccupés comparativement aux non-fumeurs (OR 2,63 [95 % Intervalle de confiance [IC] : 1,79 ; 3,85] chez les hommes et OR 1,55 [95 % IC : 1,08 ; 2,22] chez les femmes). Chez les hommes, la prévalence d'actifs occupés parmi les petits fumeurs (<10 cigarettes/jour) a baissé entre 2017 (87,1 %) et 2019 (74,8 %). Ces analyses soulignent l'importance d'intensifier les campagnes de prévention sur le tabagisme parmi les actifs inoccupés et les inactifs, en particulier pour raisons de santé.

Somatic Symptom Disorder-B criteria scale (SSD-12): Psychometric properties of the French version and associations with health outcomes in a population-based cross-sectional study.

OBJECTIVE: The 12-item Somatic Symptom Disorder-B Criteria Scale (SSD-12) is a self-reported questionnaire designed to assess the B criteria of the DSM-5 somatic symptom disorder. In this cross-sectional study, we aimed to examine the psychometric properties of the SSD-12 French version and associated health outcomes. METHODS: Participants were volunteers from the population-based CONSTANCES cohort who reported at least one new symptom that occurred between March 2020 and January 2021. Depressive symptoms were measured with the Center for Epidemiologic Studies-Depression scale (CES-D). RESULTS: A total of 18,796 participants completed the SSD-12. The scree plot was consistent with a 1-factor structure, while goodness-of-fit indices of the confirmatory factorial analyses and clinical interpretability were consistent with a 3-factor structure (excluding the item 7): 'Perceived severity', 'Perceived impairment', 'Negative expectations'. The Cronbach's α coefficients of the total and factors scores were 0.90, 0.88, 0.84 and 0.877, respectively. The total score was associated with depressive symptoms (Spearmann's rho: 0.32), self-rated health (-0.46), the number of persistent symptoms (0.32), and seeking medical consultation (odds ratio [95% confidence interval] for one interquartile range increase: 1.51 [1.48-1.54]). Among participants seeking medical consultation, those with higher SSD-12 scores were more likely to have their symptoms attributed to "stress/anxiety/depression" (1.32 [1.22-1.43]) and "psychosomatic origin" (1.25 [1.20-1.29]), and less to "COVID-19" (0.89 [0.85-0.93]). CONCLUSION: While the SSD-12 French version can be used as a unidimensional tool, it also has a 3-factor structure, somewhat different from the DSM-5 theoretical structure, with high internal consistency and clinically meaningful associations with other health outcomes.

Lifetime exposure to unemployment and prior working conditions are associated with retiree's health: A retrospective study in a large population-based French cohort.

It is unclear whether unemployment exposure, as well as working conditions, can have sustained effects on the health of retirees who are no longer exposed. The aim of the present study is to investigate this issue in 29,281 French retirees from the CONSTANCES cohort in whom the prevalence of suboptimal self-rated health, disability for routine tasks, cardiovascular diseases and cancers is assessed according to lifetime exposure to unemployment and prior working conditions. The analyses are performed retrospectively using multivariable logistic regression models with adjustment for potential confounders such as sex, birth year, parental histories of cardiovascular disease and cancer, social position, retirement age and duration. High lifetime exposure to unemployment is associated with an increased prevalence of suboptimal self-rated health (adjusted odds ratio (95% CI), 1.39 (1.23-1.57)), disability for routine tasks (1.41 (1.26-1.57)) and several cardiovascular diseases including stroke (1.66 (1.19-2.31)), myocardial infarction (1.65 (1.18-2.31)) and peripheral arterial disease (2.38 (1.46-3.90)). Bad prior working conditions are associated with an increased prevalence of disability for routine tasks (1.17 (1.04-1.33)) and cancers (1.27 (1.04-1.54)), notably prostate cancer (1.60 (1.01-2.64)). These findings suggest that unemployment and working conditions have long-term health effects that may cumulate over lifetime, emphasizing that risk evaluation and preventive strategies in retirees, as in workers, should take into account the life-course of individuals in addition to traditional risk factors.

Changes in alcohol consumption according to the duration of unemployment: prospective findings from the French CONSTANCES cohort.

OBJECTIVES: To prospectively examine the association between the duration of unemployment among job seekers and changes in alcohol use in a year. DESIGN: A prospective study. SETTING: French population-based CONSTANCES cohort. PARTICIPANTS: We selected 84 943 participants from the CONSTANCES cohort included between 2012 and 2019 who, at baseline and 1-year follow-up, were either employed or job-seeking. OUTCOME MEASURES: Multinomial logistic regression models computed the odds of reporting continuous no alcohol use, at-risk alcohol use, increased or decreased alcohol use compared with being continuously at low risk and according to employment status. The duration of unemployment was self-reported at baseline; thus, the employment status at 1-year follow-up was categorised as follows: (1) employed, (2) return to employment since less than a year, (3) unemployed for less than 1 year, (4) unemployed for 1 to 3 years and (5) unemployed for 3 years or more. Analyses were adjusted for age, gender, education, household monthly income, marital status, self-rated health, smoking status and depressive state. RESULTS: Compared with being continuously at low risk (ie, ≤10 drinks per week), the unemployment categories were associated in a dose-dependent manner with an increased likelihood of reporting continuous no alcohol use (OR: 1.74-2.50), being continuously at-risk (OR: 1.21-1.83), experiencing an increase in alcohol use (OR: 1.21-1.51) and a decrease in alcohol use (OR: 1.17-1.84). CONCLUSION: Although our results suggested an association between the duration of unemployment and a decrease in alcohol use, they also revealed associations between at-risk and increased alcohol use. Thus, screening for alcohol use among unemployed job seekers must be reinforced, especially among those with long-term unemployment.

Depression and anxiety before and at the beginning of the COVID-19 pandemic and incident persistent symptoms: a prospective population-based cohort study.

Many patients affected by COVID-19 suffer from debilitating persistent symptoms whose risk factors remained poorly understood. This prospective study examined the association of depression and anxiety symptoms measured before and at the beginning of the COVID-19 pandemic with the incidence of persistent symptoms. Among 25,114 participants [mean (SD) age, 48.72 years (12.82); 51.1% women] from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort, depression and anxiety symptoms were measured with the Center for Epidemiologic Studies-Depression scale and the 12-item General Health Questionnaire before the pandemic, and with the 9-item Patient Health Questionnaire and the 7-Item Generalized Anxiety Disorder scale at the beginning of the pandemic (i.e., between April 6, 2020 and May 4, 2020). Incident persistent symptoms were self-reported between December 2020 and January 2021. The following variables were also considered: gender, age, educational level, household income, smoking status, BMI, hypertension, diabetes, self-rated health, and SARS-CoV-2 infection according to serology/PCR test results. After a follow-up of seven to ten months, 2329 participants (9.3%) had been infected with SARS-CoV-2 and 4262 (17.0%) reported at least one incident persistent symptom that emerged from March 2020, regardless of SARS-CoV-2 infection. In multi-adjusted logistic regression models, participants in the highest (versus the lowest) quartile of depressive or anxiety symptom levels before or at the beginning of the pandemic were more likely to have at least one incident persistent symptom (versus none) at follow-up [OR (95%CI) ranging from 2.10 (1.89-2.32) to 3.01 (2.68-3.37)], with dose-response relationships (p for linear trend <0.001). Overall, these associations were significantly stronger in non-infected versus infected participants, except for depressive symptoms at the beginning of the pandemic. Depressive symptoms at the beginning of the pandemic were the strongest predictor of incident persistent symptoms in both infected and non-infected participants [OR (95%CI): 2.88 (2.01-4.14) and 3.03 (2.69-3.42), respectively]. In exploratory analyses, similar associations were found for each symptom taken separately in different models. Depression and anxiety symptoms should be tested as a potential target for preventive interventions against persistent symptoms after an infection with SARS-CoV-2.

Housing conditions and changes in professional activity during lockdown and the risk of prevalent and incident depression: Findings from the CONSTANCES cohort.

BACKGROUND: Material conditions of lockdown and changes in regular functioning may have played a role on depressive manifestations. We aimed to examine the association between housing conditions and changes in professional activity and depression during the first COVID-19 outbreak in France. METHOD: Participants of the CONSTANCES cohort were followed online. A first questionnaire covered the lockdown period (assessing housing conditions and changes in professional activity), and a second the post-lockdown period (assessing depression using the Center of Epidemiologic Studies Depression-Scale (CES-D)). Incident depression was also estimated (with a previous CES-D measure). Logistic regression models were applied. RESULTS: 22,042 participants (median age 46 years, 53.2 % women) were included and 20,534 had a previous CES-D measure. Depression was associated with female gender, lower household income and past history of depression. A negative gradient between the number of rooms and the likelihood of depression was consistently observed (OR = 1.55 95 % [1.19-2.00] for one room, OR = 0.76 [0.65-0.88] for seven rooms), while a U-shape relationship was observed with the number of people living together (OR = 1.62 [1.42-1.84] for living alone, OR = 1.44 [1.07-1.92] for six persons). These associations were also observed with incident depression. Changes in professional activity were associated with depression (Started distance working (OR = 1.33 [1.17-1.50]). Starting distance working was also associated with incident depression (OR = 1.27 [1.08-1.48]). LIMITATION: A cross-sectional design was used. CONCLUSION: The consequences of lockdown on depression may vary depending on living conditions and changes in professional activity, including distance working. These results could help to better identify vulnerable people to promote mental health.

Prevalence, treatment and determinants of obstructive sleep apnoea and its symptoms in a population-based French cohort.

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.

Trust in sources of information on COVID-19 at the beginning of the pandemic's first wave and incident persistent symptoms in the population-based CONSTANCES cohort: A prospective study.

OBJECTIVE: To examine the association between trust in different sources of information on COVID-19 at the beginning of the pandemic and the burden of incident persistent symptoms. METHODS: This prospective study used data from the SAPRIS and SAPRIS-Sérologie surveys nested in the French CONSTANCES population-based cohort. Trust in different information sources was measured between April 6 and May 4, 2020. Persistent symptoms that emerged afterwards were self-reported between December 2020 and January 2021. The associated psychological burden was measured with the somatic symptom disorder B criteria scale (SSD-12). The analyses were adjusted for gender, age, education, income, self-rated health, SARS-CoV-2 serology tests, and self-reported COVID-19. RESULTS: Among 20,985 participants [mean age (SD), 49.0 years (12.7); 50.2% women], those with higher trust in government/journalists at baseline had fewer incident persistent symptoms at follow-up (estimate (SE) for one IQR increase: -0.21 (0.03), p < 0.001). Participants with higher trust in government/journalists and medical doctors/scientists were less likely to have ≥1 symptom (odds ratio (95% confidence interval) for one IQR increase: 0.87 (0.82-0.91) and 0.91 (0.85-0.98), respectively). Among 3372 participants (16.1%) who reported ≥1 symptom, higher trust in government/journalists and medical doctors/scientists predicted lower SSD-12 scores (-0.39 (0.17), p = 0.02 and - 0.85 (0.24), p < 0.001, respectively), whereas higher trust in social media predicted higher scores in those with lower trust in government/journalists (0.90 (0.34), p = 0.008). These associations did not depend upon surrogate markers of infection with SARS-CoV-2. CONCLUSIONS: Trust in information sources on COVID-19 may be associated with incident persistent symptoms and associated psychological burden, regardless of infection with SARS-CoV-2.

ABO blood types and SARS-CoV-2 infection assessed using seroprevalence data in a large population-based sample: the SAPRIS-SERO multi-cohort study.

ABO blood type has been reported as a potential factor influencing SARS-CoV-2 infection, but so far mostly in studies that involved small samples, selected population and/or used PCR test results. In contrast our study aimed to assess the association between ABO blood types and SARS-CoV-2 infection using seroprevalence data (independent of whether or not individuals had symptoms or sought for testing) in a large population-based sample. Our study included 67,340 French participants to the SAPRIS-SERO multi-cohort project. Anti-SARS-CoV-2 antibodies were detected using ELISA (targeting the proteins spike (S) and nucleocapsid (NP)) and seroneutralisation (SN) tests on dried blood spots collected in May-November 2020. Non-O individuals (and especially types A and AB) were more likely to bear anti SARS-CoV-2 antibodies (ELISA-S, 2964 positive cases: ORnon-Ovs.O = 1.09[1.01-1.17], ORAvs.O = 1.08[1.00-1.17]; ELISA-S/ELISA-NP/SN, 678 triple positive cases: ORnon-Ovs.O = 1.19 [1.02-1.39], ORAvs.O = 1.19[1.01-1.41], ORABvs.O = 1.43[1.01-2.03]). Hence, our results provided additional insights into the dynamic of SARS-CoV-2 infection, highlighting a higher susceptibility of infection for individuals of blood types A and AB and a lesser risk for blood type O.

Liens entre le statut tabagique et la situation vis-à-vis de l'emploi : analyse transversale de la cohorte CONSTANCES.

This study aims to estimate the prevalence of tobacco use in 2017 and 2019 in the French population covered by the Régime Général d'Assurance Maladie according to employment status. From the French national CONSTANCES cohort, 18,008 randomly recruited volunteers aged between 18 and 69 years, affiliated to the Régime Général d'Assurance Maladie and enrolled in 2017, were included in the analysis. The prevalence of tobacco use according to employment status was estimated. Estimates of these prevalence data were calculated in 2017 and 2019 after correction for selection bias at inclusion and non-response at follow-up. In 2019, smoking prevalence was higher among unemployed people (29.2% among men and 20.7% among women) than among employed people (16.5% among men and 13.8% among women). Smoking prevalence was highest among those not in work for health reasons (38.5% among men and 35.8% among women). Smokers were more likely to be unemployed than non-smokers (OR 2.63 [95% confidence interval (CI): 1.79; 3.85] in men and OR 1.55 [95% CI: 1.08; 2.22] in women). Among men, the prevalence of employed people among light smokers (<10 cigarettes/day) significantly decreased between 2017 (87.1%) and 2019 (74.8%). These results underline the importance of reinforcing smoking prevention campaigns among the unemployed, particularly for health reasons.

Long-lasting Symptoms After an Acute COVID-19 Infection and Factors Associated With Their Resolution.

Importance: Persistent symptoms after SARS-CoV-2 infection are an emerging public health problem. The duration of these symptoms remains poorly documented. Objective: To describe the temporal dynamics of persistent symptoms after SARS-CoV-2 infection and the factors associated with their resolution. Design, Setting, and Participants: This cross-sectional study involved 53 047 participants from 3 French adult population-based cohorts (CONSTANCES [Consultants des Centres d'Examens de Santé], E3N/E4N, and Nutrinet-Santé) who were included in a nationwide survey about SARS-CoV-2 infection. All participants were asked to complete self-administered questionnaires between April 1 and June 30, 2020. Variables included sociodemographic characteristics, comorbid conditions, COVID-19 diagnosis, and acute symptoms. Blood samples were obtained for serologic analysis between May 1 and November 30, 2020, from patients with SARS-CoV-2 infection defined as enzyme-linked immunosorbent assay immunoglobulin G antispike detection confirmed with a neutralization assay. A follow-up internet questionnaire was completed between June 1 and September 30, 2021, with details on persistent symptoms, their duration, and SARS-CoV-2 infection diagnosis by polymerase chain reaction. Main Outcomes and Measures: Persistent symptoms were defined as symptoms occurring during the acute infection and lasting 2 or more months. Survival models for interval-censored data were used to estimate symptom duration from the acute episode. Multivariable adjusted hazard ratios (HRs) were estimated for age, sex, and comorbid conditions. Factors associated with the resolution of symptoms were assessed. Results: A total of 3972 participants (2531 women [63.7%; 95% CI, 62.2%-65.2%]; mean [SD] age, 50.9 [12.7] years) had been infected with SARS-CoV-2. Of these 3972 participants, 2647 (66.6% [95% CI, 65.1%-68.1%]) reported at least 1 symptom during the acute phase. Of these 2647 participants, 861 (32.5% [95% CI, 30.8%-34.3%]) reported at least 1 persistent symptom lasting 2 or more months after the acute phase. After 1 year of follow-up, the estimated proportion of individuals with complete symptom resolution was 89.9% (95% CI, 88.7%-90.9%) with acute symptoms. Older age (>60 years; HR, 0.78; 95% CI, 0.68-0.90), female sex (HR, 0.64; 95% CI, 0.58-0.70), history of cancer (HR, 0.61; 95% CI, 0.47-0.79), history of tobacco consumption (HR, 0.80; 95% CI, 0.73-0.88), high body mass index (≥30: HR, 0.75; 95% CI, 0.63-0.89), and high number of symptoms during the acute phase (>4; HR, 0.43; 95% CI, 0.39-0.48) were associated with a slower resolution of symptoms. Conclusions and Relevance: In this cross-sectional study, persistent symptoms were still present in 10.1% of infected individuals at 1 year after SARS-CoV-2 infection. Given the high level of cumulative incidence of COVID-19, the absolute prevalent number of people with persistent symptoms is a public health concern.

Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort.

OBJECTIVES: The COVID-19 pandemic has brought to light a new occupational health threat. We aimed to evaluate the association between COVID-19 infection and work exposure to SARS-CoV-2 assessed by a job-exposure matrix (JEM), in a large population cohort. We also estimated the population-attributable fraction among exposed subjects. METHODS: We used the SAPRIS-SERO sample of the CONSTANCES cohort, limited to subjects actively working, and with a job code available and a questionnaire on extra work activities. The following outcomes were assessed: COVID-19 diagnosis was made by a physician; a seropositivity to the ELISA-S test ('serology strict') and ELISA-S test intermediate with positive ELISA-NP or a positive neutralising antibodies SN ('serology large'). Job exposure was assessed using Mat-O-Covid, an expert-based JEM with an Index used as a continuous variable and a threshold at 13/1000. RESULTS: The sample included 18 999 subjects with 389 different jobs, 47.7% were men with a mean age of 46.2 years (±9.2 years). The Mat-O-Covid index taken as a continuous variable or with a threshold greater than 13/1000 was associated with all the outcomes in bivariable and multivariable logistic models. ORs were between 1.30 and 1.58, and proportion of COVID-19 attributable to work among exposed participants was between 20% and 40%. DISCUSSION: Using the Mat-O-Covid JEM applied to a large population, we found a significant association between work exposure to SARS-CoV-2 and COVID-19 infection, though the estimation of attributable fraction among exposed people remained low to moderate. Further studies during other exposed periods and with other methods are necessary.

The association of substance use with attaining employment among unemployed job seeking adults: Prospective findings from the French CONSTANCES cohort.

This study aimed to examine the prospective association between tobacco, alcohol and cannabis use with attaining employment among unemployed job seekers. Data from the French population-based CONSTANCES cohort on 5114 unemployed job seeking adults enrolled from 2012 to 2018 were analyzed. Binary logistic regressions were computed. Odds ratio (OR) and 95%CI of remaining unemployed at one-year of follow-up (versus attaining employment) according to substance use at baseline were obtained. The following independent variables were introduced into separate models: tobacco use (non-smoker, former smoker, light (<10cig/day), moderate (10-19cig/day) and heavy smoker (>19cig/day)), alcohol use according to the Alcohol Use Disorder Identification Test (non-users (0), low (<7), moderate (7-15) and high or very high-risk (>15)) and cannabis use (never used, no use in the previous 12 months, less than once a month, at least once a month but less than once per week, once per week or more). Analyses were adjusted for age, gender and education. At follow-up, 2490 participants (49.7%) were still unemployed. Compared to non-smokers, moderate and heavy smokers were more likely to remain unemployed, with ORs (95%CI) of 1.33 (1.08-1.64) and 1.42 (1.04-1.93), respectively. Compared to low-risk alcohol users, no alcohol users and high or very high-risk alcohol users were more likely to remain unemployed, with ORs (95% CI) of 1.40 (1.03-1.83) and 2.10 (1.53-2.87), respectively. Compared to participants who never used cannabis, participants who use cannabis once a week or more were more likely to remain unemployed, OR (95%CI) of 1.63 (1.33-2.01). Substance use may play an important role in difficulty attaining employment.

Persistent symptoms after the first wave of COVID-19 in relation to SARS-CoV-2 serology and experience of acute symptoms: A nested survey in a population-based cohort.

Background: Many patients report persistent symptoms after COVID-19. Our aim was to determine whether some of these symptoms were more associated with past SARS-CoV-2 infection compared to other conditions. Methods: This prospective survey was nested in CONSTANCES, a randomly selected French population-based cohort, started in 2012. All participants being followed-up by internet completed 2 questionnaires during the first wave of the pandemic focusing on the acute symptoms of their COVID-19-like illness. Serological tests for SARS-CoV-2 were then performed (May-Nov 2020). Between December 2020 and January 2021, participants completed a third questionnaire about symptoms that had lasted more than 2 months. Participants were classified into four groups according to both European Center for Diseases Control (ECDC) criteria for COVID-19 (ECDC+ or ECDC-) and serological SARS-CoV-2 test results (Sero+ or Sero-). To compare the risk of each persistent symptom among the groups, logistic regression models were adjusted for age, sex, educational level, comorbidities, and the number of acute symptoms declared during the first wave of the epidemic. A mediation analysis was performed to estimate the direct effect of the infection on persistent symptoms and its indirect effect via the initial clinical presentation. Findings: The analysis was performed in 25,910 participants. There was a higher risk of persistent dysgeusia/anosmia, dyspnea and asthenia in the ECDC+/Sero+ group than in the ECDC+/Sero- group (OR: 6.83 [4.47-10.42], 1.69 [1.07-2.6] and 1.48 [1.05-2.07], respectively). Abdominal pain, sensory symptoms or sleep disorders were at lower risk in the ECDC+/Sero+ group than in the ECDC+/Sero- group (0.51 [0.24-0.96], 0.40 [0.16-0.85], and 0.69 [0.49-0.95], respectively). The mediation analysis revealed that the association of the serological test results with each symptom was mainly mediated by ECDC symptoms (proportion mediated range 50-107%). Conclusion: A greater risk of persistent dysgeusia/anosmia, dyspnea and asthenia was observed in SARS-CoV-2 infected people. The initial clinical presentation substantially drives the association of positive serological test results with persistent symptoms. Funding: French National Research Agency.

Association of Self-reported COVID-19 Infection and SARS-CoV-2 Serology Test Results With Persistent Physical Symptoms Among French Adults During the COVID-19 Pandemic.

Importance: After an infection by SARS-CoV-2, many patients present with persistent physical symptoms that may impair their quality of life. Beliefs regarding the causes of these symptoms may influence their perception and promote maladaptive health behaviors. Objective: To examine the associations of self-reported COVID-19 infection and SARS-CoV-2 serology test results with persistent physical symptoms (eg, fatigue, breathlessness, or impaired attention) in the general population during the COVID-19 pandemic. Design, Setting, and Participants: Participants in this cross-sectional analysis were 26 823 individuals from the French population-based CONSTANCES cohort, included between 2012 and 2019, who took part in the nested SAPRIS and SAPRIS-SERO surveys. Between May and November 2020, an enzyme-linked immunosorbent assay was used to detect anti-SARS-CoV-2 antibodies. Between December 2020 and January 2021, the participants reported whether they believed they had experienced COVID-19 infection and had physical symptoms during the previous 4 weeks that had persisted for at least 8 weeks. Participants who reported having an initial COVID-19 infection only after completing the serology test were excluded. Main Outcomes and Measures: Logistic regressions for each persistent symptom as the outcome were computed in models including both self-reported COVID-19 infection and serology test results and adjusting for age, sex, income, and educational level. Results: Of 35 852 volunteers invited to participate in the study, 26 823 (74.8%) with complete data were included in the present study (mean [SD] age, 49.4 [12.9] years; 13 731 women [51.2%]). Self-reported infection was positively associated with persistent physical symptoms, with odds ratios ranging from 1.39 (95% CI, 1.03-1.86) to 16.37 (95% CI, 10.21-26.24) except for hearing impairment (odds ratio, 1.45; 95% CI, 0.82-2.55) and sleep problems (odds ratio, 1.14; 95% CI, 0.89-1.46). A serology test result positive for SARS-COV-2 was positively associated only with persistent anosmia (odds ratio, 2.72; 95% CI, 1.66-4.46), even when restricting the analyses to participants who attributed their symptoms to COVID-19 infection. Further adjusting for self-rated health or depressive symptoms yielded similar results. There was no significant interaction between belief and serology test results. Conclusions and Relevance: The findings of this cross-sectional analysis of a large, population-based French cohort suggest that persistent physical symptoms after COVID-19 infection may be associated more with the belief in having been infected with SARS-CoV-2 than with having laboratory-confirmed COVID-19 infection. Further research in this area should consider underlying mechanisms that may not be specific to the SARS-CoV-2 virus. A medical evaluation of these patients may be needed to prevent symptoms due to another disease being erroneously attributed to "long COVID."