Data about self-perceived food choice (FC) changes and their determinants during COVID-19 lockdowns are limited. This study investigated how the Italian lockdown affected self-perceived food purchases (FP), occurrence of impulse buying (IB), household food waste production (HFWP) and their determinants. A web-based cross-sectional survey was distributed in May 2020, collecting an opportunistic sample of the Italian population. A total of 1865 (70% females) people were enrolled, the median age was 29 (IQR 16.0). Most of the sample increased overall FP (53.4%), food consumption (43.4%), reduced HFWP (53.7%) and halved the prevalence of IB (20.9%) compared to the period before the lockdown (42.5%). Baking ingredients, fresh vegetables, fresh fruit and chocolate had the largest sales increase by individuals, while bakery products, fresh fish and salted snacks purchases highly decreased. Increased FP was associated with the occurrence of IB (adjOR 2.48, p < 0.001) and inversely associated with not having worked during lockdown (adjOR 0.71, p = 0.003). Multivariable logistic regressions revealed occurrence of IB was associated with low perceived dietary quality (adjOR 2.22, p < 0.001), resulting at risk, according to the Emotional Overeating Questionnaire (EOQ, adjOR 1.68, p < 0.001), and inversely associated with decreased HFWP (adjOR 0.73, p < 0.012). Reduced HFWP was associated with higher perceived dietary quality (adjOR 2.27, p < 0.001) and negatively associated with low score at WHO-5 Well-Being Index (adjOR 0.72, p = 0.002). The Italian lockdown highly affected FC behaviours, leading to positive and sustainable habits towards food purchase and consumption. Public health interventions are needed to keep these new positive effects and avoid negative consequences in case of future lockdowns.
Aim To evaluate the prevalence and predictors of potentially inappropriate medications (PIM) and potential prescribing omissions (PPO) in hospital‐discharged older patients, according to the recently updated Screening Tool of Older People's Prescriptions and Screening Tool to Alert to Right Treatment version 2 criteria. Methods This was a multicenter prospective observational study of patients aged ≥65 years consecutively discharged from geriatric and internal medicine wards. Each patient underwent a comprehensive geriatric assessment, and PIM and PPO at discharge were determined according to the Screening Tool of Older People's Prescriptions and Screening Tool to Alert to Right Treatment version 2 criteria. A multivariate logistic regression was carried out to identify variables independently associated with PIM and PPO. Results Among 726 participants (mean age 81.5 years, 47.8% women), the prevalence of PIM and PPO were 54.4% and 44.5%, respectively. Benzodiazepines and proton‐pump inhibitors were the drugs most frequently involved with PIM, whereas PPO were often related to 5‐alpha reductase inhibitors, angiotensin‐converting enzyme inhibitors, statins and drugs for osteoporosis. The number of medications (OR 1.22, 95% CI 1.15–1.28) and discharge from geriatric units (OR 0.55, 95% CI 0.40–0.75) were associated with PIM, whereas PPO were independently associated with discharge from geriatric wards (OR 0.44, 95% CI 0.31–0.62), age (OR 1.04, 95% CI 1.02–1.07), comorbidities (OR 1.17, 95% CI 1.04–1.30) and the number of drugs (OR 1.12, 95% CI 1.05–1.18). Conclusions Inappropriate prescribing is highly prevalent among hospital‐discharged older patients, and is associated with polypharmacy and discharge from internal medicine departments. Geriatr Gerontol Int 2019; 19: 5–11.
Objectives: To evaluate whether STOPP/START v2 potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) are associated with 6-month mortality and unplanned hospitalization in hospital-discharged older patients. Design: Multicenter prospective cohort observational study Setting and participants: patients aged ≥65 years consecutively discharged from acute geriatric and internal medicine wards of two university hospitals in Northwestern Italy Methods: At discharge, a comprehensive geriatric assessment was performed in each patient, prescribed medications were recorded, and PIMs and PPOs were determined according to STOPP/START v2. Death and unplanned readmissions at 6 months were investigated through telephone interviews; variables associated with outcomes were identified in the overall sample and according to discharge setting (i.e. home vs medium/long-term care facility, MLTCF) through a multivariate logistic regression model. Results: Among 611 patients (mean age 81.6 years, 48.4% females, 34.2% MLTCFdischarged, mean number of drugs 7.7±3.2), with an inappropriate prescription (IP) prevalence at discharge of 71.7% (PIMs 54.8%, PPOs 47.3%), mortality and unplanned readmission rate were 25.0% and 30.9%. Neither PIMs nor PPOs were associated with overall mortality. A higher number of PIMs was significantly associated with unplanned readmission in the overall sample (OR 1.23, 95%CI 1.03-1.46), and in home-discharged patients (OR 1.38, 95%CI 1.13-1.68). The number of drugs at discharge was associated with readmissions in the overall sample (OR 1.11, 95%CI 1.05-1.18) and in MLTCF-discharged patients (OR 1.27, 95%CI 1.13-1.42). PPOs were not significantly associated with clinical outcomes. Conclusions and implications: In hospital-discharged polymorbid older patients, 6-month unplanned readmissions were associated with number of PIMs in home-discharged patients Commento [EB1]: Forse sia per questione di spazio che di rilevanza, mettere l'associazione dicotomica dei PPO all'univariata, come richiesto dal reviewer 1 sarebbe inappropriato? Commento [MB2]: Non ho trovato questa richiesta da parte di R1 4 and with number of drugs in MLTCF-discharged patients. This reaffirms the importance of performing a systematic and careful review of medication appropriateness in hospitaldischarged older patients.
ObjectivesThe health effects of work-time arrangements have been largely studied for long working hours, whereas a lack of knowledge remains regarding the potential health impact of reduced work-time interventions. Therefore, we conducted this review in order to assess the relationships between work-time reduction and health outcomes.DesignSystematic review of published studies. Medline, PsycINFO, Embase and Web of Science databases were searched from January 2000 up to November 2019.OutcomesThe primary outcome was the impact of reduced working time with retained salary on health effects, interventional and observational studies providing a quantitative analysis of any health-related outcome were included. Studies with qualitative research methods were excluded.ResultsA total of 3876 published articles were identified and 7 studies were selected for the final analysis, all with a longitudinal interventional design. The sample size ranged from 63 participants to 580 workers, mostly from healthcare settings. Two studies assessed a work-time reduction to 6 hours per day; two studies evaluated a weekly work-time reduction of 25%; two studies evaluated simultaneously a reduced weekly work-time reduction proportionally to the amount of time worked and a 2.5 hours of physical activity programme per week instead of work time; one study assessed a reduced weekly work-time reduction from 39 to 30 hours per week. A positive relationship between reduced working hours and working life quality, sleep and stress was observed. It is unclear whether work time reduction determined an improvement in general health outcomes, such as self-perceived health and well-being.ConclusionsThese findings suggest that the reduction of working hours with retained salary could be an effective workplace intervention for the improvement of employees’ well-being, especially regarding stress and sleep. Further studies in different contexts are needed to better evaluate the impact of work-time reduction on other health outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.