The role of pre-morbid diabetes on developing amyotrophic lateral sclerosis.

BACKGROUND AND PURPOSE: The literature on the association between diabetes and amyotrophic lateral sclerosis (ALS) consists of a limited number of studies. This cohort study was developed in order to assess the role of diabetes on the risk of developing ALS. METHODS: The study population was represented by all residents in Turin (Italy) at the beginning of 1996 who participated in the 1991 census, over 14 years of age (n = 727 977) and followed up for ALS occurrence from 1998 to 2014. Presence of diabetes at baseline or during follow-up was ascertained through two Piedmont regional sources: the Diabetes Registry and the Anatomical Therapeutic Chemical Drug Prescription Archive. The risk of ALS was estimated using the Piedmont and Valle d'Aosta ALS Registry (PARALS). The association of diabetes, treated as a time-dependent variable, with ALS onset was estimated through Cox proportional hazard regression models adjusted for age, gender, education and marital status. RESULTS: During follow-up, 397 subjects developed ALS, 24 of whom were already diabetic before ALS onset. Diabetes was associated with a significantly decreased risk of ALS [hazard ratio, 0.30 (95% confidence interval, 0.19-0.45)] without differences in risk by gender, age class or ALS phenotype. CONCLUSION: The results support the protective role of diabetes toward ALS.

Long term effect of air pollution on incident hospital admissions: Results from the Italian Longitudinal Study within LIFE MED HISS project.

BACKGROUND: The LIFE MED HISS project aims at setting up a surveillance system on the long term effects of air pollution on health, using data from National Health Interview Surveys and other currently available sources of information in most European countries. Few studies assessed the long term effect of air pollution on hospital admissions in European cohorts. OBJECTIVE: The objective of this paper is to estimate the long term effect of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) on first-ever (incident) cause-specific hospitalizations in Italy. METHODS: We used data from the Italian Longitudinal Study (ILS), a cohort study based on the 1999-2000 National Health Interview Survey (NHIS), followed up for hospitalization (2001-2008) at individual level. The survey contains information on crucial potential confounders: occupational/educational/marital status, body mass index (BMI), smoking habit and physical activity. Annual mean exposure to PM2.5 and NO2 was assigned starting from simulated gridded data at spatial resolution of 4 × 4 km2 firstly integrated with data from monitoring stations and then up-scaled at municipality level. Statistical analyses were conducted using Cox proportional hazard models with robust variance estimator. RESULTS: For each cause of hospitalization we estimated the hazard ratios (HRs) adjusted for confounders with 95% Confidence Interval (CI) related to a 10 µg/m3 increase in pollutants. For PM2.5 and NO2, respectively, we found positive associations for circulatory system diseases [1.05(1.03-1.06); 1.05(1.03-1.07)], myocardial infarction [1.15(1.12-1.18); 1.15(1.12-1.18)], lung cancer [1.18(1.10-1.26); 1.20(1.12-1.28)], kidney cancer [1.24(1.11-1.29); 1.20(1.07-1.33)], all cancers (but lung) [1.06(1.04-1.08); 1.06(1.04-1.08)] and Low Respiratory Tract Infections (LRTI) [1.07 (1.04-1.11); 1.05 (1.02-1.08)]. DISCUSSION: Our results add new evidence on the effects of air pollution on first-ever (incident) hospitalizations, both in urban and rural areas. We demonstrated the feasibility of a low-cost monitoring system based on available data.