Worker adjustment to unexpected occupational risk: Evidence from COVID-19.

We study the link between the revelation of a hitherto non-existent occupational risk - mortality due to the COVID-19 pandemic in 2020 - and subsequent worker behaviour. We link occupation-specific data on COVID-19 mortality to individual level data sets. We find that wages did not adjust, but workers started leaving high-risk occupations during 2020. These effects are stronger for workers not affected by lockdowns or working from home orders and for those considered to be clinically vulnerable to COVID-19 and are not driven by negative health shocks or employer-initiated separations. Occupation-level results suggest that employment began to rebound in 2021.

Analysis of Multiple Health Risky Behaviours and Associated Disease Outcomes Using Scottish Linked Hospitalisation Data.

Background: Disease incidence and premature deaths tend to be influenced by multiple health risky behaviours, including smoking, excessive alcohol consumption and unhealthy diet. Risky behaviours tend not to be independent and may have a multiplicative effect on disease incidence and healthcare cost. Thus, understanding the interrelationship between health behaviours and their effect on health outcomes is crucial in designing behavioural intervention programmes. Objective: To examine the interrelationship between health risky behaviours and associated disease outcomes amongst Scottish adults. Methods: We use hospitalisation episode data from the Scottish Morbidity Records, (SMR), that have been administratively linked to Scottish Health Surveys (SHeS) respondents with target disease defined by relevant ICD9 and 10 codes. We apply a recursive multivariate probit model to jointly estimate the health risky behaviours and disease incidence to adequately control for unobserved heterogeneity. The model is estimated separately by gender. Results: Modelling health risk behaviours and disease incidence equations independently rather than jointly may be misleading. We find a clear socioeconomic gradient predicting health risky behaviours and the results differ by gender. Specifically, smoking appears to be a key driver of other health risky behaviours. Current smokers are more likely to be drinking above the recommended limit, physically inactive, and eating inadequate diet. Conclusions: Interventions targeting current smokers to quit could spillover to other behaviours by reducing excessive drinking, improve physical activity and adequate diet. Thus, improvements in one behaviour may increase the likelihood of adopting other healthier lifestyle behaviours.

Pay or conditions? The role of workplace characteristics in nurses' labor supply.

Empirically rigorous studies of nursing labor supply have to date relied on extant secondary data and focused almost exclusively on the role of pay. Yet the conditions under which nurses work and the timing and convenience of the hours they work are also important determinants of labor supply. Where there are national pay structures and pay structures are relatively inflexible, as in nursing in European countries, these factors become more important. One of the principal ways in which employers can improve the relative attractiveness of nursing jobs is by changing these other conditions of employment. This study uses new primary data to estimate an extended model of nursing labor supply. It is the first to explore whether and how measures of non-pecuniary workplace characteristics and observed individual (worker) heterogeneity over non-pecuniary job aspects impact estimates of the elasticity of hours with respect to wages. Our results have implications for the future sustainability of an adequately sized nurse workforce and patient care especially at a time when European healthcare systems are confronted with severe financial pressures that have resulted in squeezes in levels of healthcare funding.

Active travel intervention and physical activity behaviour: an evaluation.

A physically active lifestyle is an important contributor to individual health and well-being. The evidence linking higher physical activity levels with better levels of morbidity and mortality is well understood. Despite this, physical inactivity remains a major global risk factor for mortality and, consequently, encouraging individuals to pursue physically active lifestyles has been an integral part of public health policy in many countries. Physical activity promotion and interventions are now firmly on national health policy agendas, including policies that promote active travel such as walking and cycling. This study evaluates one such active travel initiative, the Smarter Choices, Smarter Places programme in Scotland, intended to encourage uptake of walking, cycling and the use of public transport as more active forms of travel. House to house surveys were conducted before and after the programme intervention, in May/June 2009 and 2012 (12,411 surveys in 2009 and 9542 in 2012), for the evaluation of the programme. This paper analyses the physical activity data collected, focussing on what can be inferred from the initiative with regards to adult uptake of physical activity participation and whether, for those who participated in physical activity, the initiative impacted on meeting recommended physical activity guidelines. The results suggest that the initiative impacted positively on the likelihood of physical activity participation and meeting the recommended physical activity guidelines. Individuals in the intervention areas were on average 6% more likely to meet the physical activity guidelines compared to individuals in the non intervention areas. However, the absolute prevalence of physical activity participation declined in both intervention and control areas over time. Our evaluation of this active transport initiative indicates that similar programmes may aid in contributing to achieving physical activity targets and adds to the international evidence base on the benefits of active travel interventions.

Smoking-related disease risk, area deprivation and health behaviours.

BACKGROUND: Smokers and ex-smokers are at risk of many chronic diseases. However, never smokers and never smokers exposed to environmental tobacco smoke (ETS) are also at risk. Additionally, smoking behaviours and their associated disease risk are socially patterned and positively associated with health inequalities. However, other lifestyle choices also contribute to health inequalities. We aim to assess the contribution of other lifestyle behaviours pertaining to alcohol, physical inactivity and weight to smoking-related disease risk across (i) the socioeconomic spectrum and (ii) smoking status. METHODS: Smoking-related disease risk is modelled using probit analysis. The results are used to predict disease risk across the socioeconomic dimension and smoking status for a set of healthy and unhealthy behaviours using the administratively linked Scottish Health Surveys and Scottish Morbidity Records. RESULTS: The results confirm the deprivation gradient in disease risk regardless of smoking status group. Imposition of healthy (unhealthy) lifestyle behaviours decreases (increases) the predicted risk across the deprivation distribution regardless of smoking status providing evidence of the multifaceted health behavioural determinants of disease risk across the deprivation distribution. CONCLUSION: The results are of policy interest as they suggest that to reduce inequalities in smoking-related diseases, interventions reducing both smoking and other unhealthy behaviours are required.

Modelling the participation decision and duration of sporting activity in Scotland.

Motivating individuals to actively engage in physical activity due to its beneficial health effects has been an integral part of Scotland's health policy agenda. The current Scottish guidelines recommend individuals participate in physical activity of moderate vigour for 30 min at least five times per week. For an individual contemplating the recommendation, decisions have to be made in regard of participation, intensity, duration and multiplicity. For the policy maker, understanding the determinants of each decision will assist in designing an intervention to effect the recommended policy. With secondary data sourced from the 2003 Scottish Health Survey (SHeS) we statistically model the combined decisions process, employing a copula approach to model specification. In taking this approach the model flexibly accounts for any statistical associations that may exist between the component decisions. Thus, we model the endogenous relationship between the decision of individuals to participate in sporting activities and, amongst those who participate, the duration of time spent undertaking their chosen activities. The main focus is to establish whether dependence exists between the two random variables assuming the vigour with which sporting activity is performed to be independent of the participation and duration decision. We allow for a variety of controls including demographic factors such as age and gender, economic factors such as income and educational attainment, lifestyle factors such as smoking, alcohol consumption, healthy eating and medical history. We use the model to compare the effect of interventions designed to increase the vigour with which individuals undertake their sport, relating it to obesity as a health outcome.

Does one size fit all? Investigating heterogeneity in men's preferences for benign prostatic hyperplasia treatment using mixed logit analysis.

In this study, the authors demonstrate how mixed logit analysis of discrete choice experiment (DCE) data can provide information about unobserved preference heterogeneity. Their application investigates unobserved heterogeneity in men's preferences for benign prostatic hyperplasia (BPH) treatment. They use a DCE to elicit preferences for seven characteristics of BPH treatment: time to symptom improvement, sexual and nonsexual treatment side effects, risks of acute urinary retention and surgery, cost of treatment, and reduction in prostate size. They investigate the importance of these characteristics and the trade-offs men are willing to make between them. Preferences are elicited from a sample of 100 men attending an outpatient clinic in Ireland. The authors find all treatment characteristics are significant determinants of treatment choice. There is significant preference heterogeneity in the population for four treatment characteristics: time to symptom improvement, treatment reducing prostate size, risk of surgery, and sexual side effects. The importance of preference heterogeneity at the policy level within the context of shared decision making is discussed.