Objective Lockdown has impacts on people’s living conditions and mental health. The study aims to assess the relations between social impact and mental health among adults living in Spain during COVID-19 lockdown measures, taking a gender-based approach into account. Design, setting and participants We conducted a cross-sectional study among adults living in Spain during the lockdown of COVID-19 with an online survey from 8 April to 28 May 2020. The main variable was mental health measured by Generalized Anxiety Disorder Scale for anxiety and the Patient Health Questionnaire for depression. Sex-stratified multivariate ordinal logistic regression models were constructed to assess the association between social impact variables, anxiety and depression. Results A total of 7053 people completed this survey. A total of 31.2% of women and 17.7% of men reported anxiety. Depression levels were reported in 28.5% of women and 16.7% of men. A higher proportion of anxiety and depression levels was found in the younger population (18–35 years), especially in women. Poorer mental health was mainly related to fear of COVID-19 infection, with higher anxiety levels especially in women (adjusted ordinal OR (aOR): 4.23, 95% CI 3.68 to 4.87) and worsened economy with higher levels of depression in women (aOR: 1.51, 95% CI 1.24 to 1.84), and perceived inadequate housing to cope with lockdown was especially associated with anxiety in men (aOR: 2.53, 95% CI 1.93 to 3.44). Conclusion The social impact of the lockdown is related to gender, age and socioeconomic conditions. Women and young people had worse mental health outcomes during lockdown. It is urgent to establish strategies for public health emergencies that include mental health and its determinants, taking a gender-based approach into account, in order to reduce health inequities.

Multimorbidity is the coexistence of more than two chronic diseases in the same individual; however, there is no consensus about the best definition. In addition, few studies have described the variability of multimorbidity patterns over time. The aim of this study was to identify multimorbidity patterns and their variability over a 6-year period in patients older than 65 years attended in primary health care. A cohort study with yearly cross-sectional analysis of electronic health records from 50 primary health care centres in Barcelona. Selected patients had multimorbidity and were 65 years of age or older in 2009. Diagnoses (International Classification of Primary Care, second edition) were extracted using O’Halloran criteria for chronic diseases. Multimorbidity patterns were identified using two steps: 1) multiple correspondence analysis and 2) k-means clustering. Analysis was stratified by sex and age group (65–79 and ≥80 years) at the beginning of the study period. Analysis of 2009 electronic health records from 190,108 patients with multimorbidity (59.8% women) found a mean age of 71.8 for the 65–79 age group and 84.16 years for those over 80 (Standard Deviation [SD] 4.35 and 3.46, respectively); the median number of chronic diseases was seven (Interquartil range [IQR] 5–10). We obtained 6 clusters of multimorbidity patterns (1 nonspecific and 5 specifics) in each group, being the specific ones: Musculoskeletal, Endocrine-metabolic, Digestive/Digestive-respiratory, Neurological, and Cardiovascular patterns. A minimum of 42.5% of the sample remained in the same pattern at the end of the study, reflecting the stability of these patterns. This study identified six multimorbidity patterns per each group, one nonnspecific pattern and five of them with a specific pattern related to an organic system. The multimorbidity patterns obtained had similar characteristics throughout the study period. These data are useful to improve clinical management of each specific subgroup of patients showing a particular multimorbidity pattern.

Background and Aims: Knowledge on the aetiology of exocrine pancreatic cancer (EPC) is scant. The best established risk factor for EPC is tobacco smoking. Among other carcinogens, tobacco contains cadmium, a metal previously associated with an increased risk of EPC. This study evaluated the association between concentrations of trace elements in toenails and EPC risk. Methods: The study included 118 EPC cases and 399 hospital controls from eastern Spain. Levels of 12 trace elements were determined in toenail samples by inductively coupled plasma mass spectrometry. OR and 95% CI, adjusted for potential confounders, were calculated using logistic regression. Results: Significantly increased risks of EPC were observed among subjects whose concentrations of cadmium (OR 3.58, 95% CI 1.86 to 6.88; p _trend =5×10 ⁻⁶ ), arsenic (OR 2.02, 95% CI 1.08 to 3.78; p _trend =0.009) and lead (OR 6.26, 95% CI 2.71 to 14.47; p _trend =3×10 ⁻⁵ ) were in the highest quartile. High concentrations of selenium (OR 0.05, 95% CI 0.02 to 0.15; p _trend =8×10 ⁻¹¹ ) and nickel (OR 0.27, 95% CI 0.12 to 0.59; p _trend =2×10 ⁻⁴ ) were inversely associated with the risk of EPC. Conclusion: Novel associations are reported of lead, nickel and selenium toenail concentrations with pancreas cancer risk. Furthermore, the results confirm previous associations with cadmium and arsenic. These novel findings, if replicated in independent studies, would point to an important role of trace elements in pancreatic carcinogenesis.