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- Obesity- attributable costs of absenteeism among working adults in PortugalPublication . Destri, Kelli; Alves, Joana; Gregório, Maria João; Dias, Sara Simões; Henriques, Ana Rita; Mendonça, Nuno; Canhao, Helena; Rodrigues, Ana MariaBackground: Obesity leads to poor health outcomes and may adversely afect work productivity. This study, aimed to investigate the obesity- attributable costs of absenteeism among working adults in Portugal. Methods: The study population included individuals actively working at baseline from the Epidemiology of Chronic Diseases Cohort (EpiDoC), a large Portuguese population-based prospective study. Body mass index was measured at baseline and in two follow-up interviews. Absenteeism in each wave of the EpiDoC was assessed by the question “Did you have a sick leave in the previous 12 months? yes/no”, followed by “How many days did you miss work due to sickness in the previous twelve months?”. Body mass index (BMI) was classifed into underweight, normal weight, overweight, and obese, based on the standard World Health Organization defnition. Association between obesity and absenteeism was estimated with the negative binomial regression model adjusted for BMI, chronic diseases, and lifestyle. Obesity- attributable costs were calculated using lost gross income during the time absent from work, through the human-capital approach. Results: The EpiDoC included 4338 working adults at baseline. Of these, 15.2% were obese at the beginning of the study and 22.7% of the population had been absent from work in the last 12 months. Participants with obesity missed 66% more days at work (IRR: 1.66; CI 95%:1.13–2.44; (p=0.009.) than those with normal weight. The odds of having been absent from work were 1.4 times higher in obese compared to non-obese individuals (CI 95%: 1.18–1.67; p<0.01) adjusted to sex and type of work. Obese individuals missed 3.8 more days per year than those with normal weight (95%CI: 3.1–4.5). Extrapolating to the entire Portuguese working population, absenteeism due to obesity incurred an additional cost of €238 million per year. Conclusion: Obesity imposes a fnancial burden due to absenteeism in Portugal. Employers and national health regulators should seek efective ways to reduce these costs.
- Is food insecurity related to health-care use, access and absenteeism?Publication . Dias, Sara; Gregório, Maria João; Melo, António; Matias, Maria Ana; Rodrigues , Ana M; Sousa, Rute Dinis de; Canhão,Helena; Perelman, JulianFood insecurity (FI) is defined as uncertain access to healthy food in quantity and quality. We hypothesize that FI may be associated with greater health-care use and absenteeism because it may amplify the effect of diseases; also, FI may be associated with reduced health-care access because it reflects economic vulnerability. The present study estimates the association between FI and health-care use and access, and absenteeism.Design: Cross-sectional data collected in 2015-2016. Health-care use was measured as the number of consultations, taking any drug and having been hospitalized in the past year. Health-care access was measured by the suspension of medication and having fewer consultations due to financial constraints. Absenteeism was measured by the weeks of sickness leave. Binary variables were modelled as a function of FI using logistic regressions; continuous variables were modelled as a function of FI using negative binomial and zero-inflated negative binomial regressions. Covariates were included sequentially.Setting: Portugal.Participants: Non-institutionalized adults from the EpiDoc3 cohort (n 5648).Results: FI was significantly associated with health-care use before controlling for socio-economic conditions and quality of life. Moderate/severe FI was positively related to the suspension of medicines (adjusted OR = 4·68; 95 % CI 3·11, 6·82) and to having fewer consultations (adjusted OR = 3·98; 95 % CI 2·42, 6·37). FI and absenteeism were not significantly associated.Conclusions: Our results support the hypothesis that FI reflects precariousness, which hinders access to health care. The greater use of health care among food-insecure people is explained by their worse quality of life and lower socio-economic condition, so that the specific role of poor nutrition is unclear.
- Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression SymptomsPublication . Gregório, Maria João; Rodrigues, Ana M.; Eusébio, Mónica; Sousa, Rute Dinis; Dias, Sara; André, Beate; Grønning, Kjersti; Coelho, Pedro S.; Mendes, Jorge M.; Graça, Pedro; Espnes, Geir A.; Branco, Jaime C.; Canhão, HelenaObjective: We aimed to identify dietary patterns (DPs) of Portuguese adults, to assess their socioeconomic, demographic, lifestyle determinants, and to identify their impact on health. Design: EpiDoC 2 study included 10,153 Portuguese adults from the EpiDoC Cohort, a population-based study. In this study, trained research assistants using computer assisted telephone interview collected socioeconomic, demographic, dietary, lifestyles, and health information from March 2013 to July 2015. Cluster analysis was performed, based on questions regarding the number of meals, weekly frequency of soup con sumption, vegetables, fruit, meat, fish, dairy products, and daily water intake. Factors associated with DP were identified through logistic regression models. results: Two DPs were identified: the “meat dietary pattern” and the “fruit & vegetables dietary pattern.” After multivariable adjustment, women (OR = 0.52; p < 0.001), older adults (OR = 0.97; p < 0.001), and individuals with more years of education (OR = 0.96; p = 0.025) were less likely to adopt the “meat dietary pattern,” while individuals in a situation of job insecurity/unemployment (OR = 1.49; p = 0.013), Azores island residents (OR = 1.40; p = 0.026), current smoking (OR = 1.58; p = 0.001), daily alcohol intake (OR = 1.46; p = 0.023), and physically inactive (OR = 1.86; p < 0.001) were positively and significantly associated with “meat dietary pattern.” Moreover, individuals with depres sion symptoms (OR = 1.50; p = 0.018) and the ones who did lower number of medical appointments in the previous year (OR = 0.98; p = 0.025) were less likely to report this DP. conclusion: Our results suggest that unhealthy DPs (meat DP) are part of a lifestyle behavior that includes physical inactivity, smoking habits, and alcohol consumption. Moreover, depression symptoms are also associated with unhealthy DPs.