Tag Archives: Employment

Constriction worker

Is temporary employment bad for your health?

How is the health of those in insecure jobs affected by their working lives? Rachel Sumner and colleagues* have discovered some types of work may be just as strongly linked with poor health as unemployment is.

It’s long been acknowledged that there’s a link between unemployment and poor health. A recent Government Green Paper put it starkly:

“People who are unemployed have higher rates of mortality and a lower quality of life. This is an injustice that we must address.”

But is any job really better than no job? Or could some types of employment actually be linked just as strongly to poor health?

We looked at the issue using data from the Understanding Society study, which took blood samples from more than 4500 people aged between 16 and 64 who were either working or unemployed in 2010 and 2011– we excluded those who were retired, homemaking, not working due to incapacity or in education.

Overall, 7.6 per cent of our sample were unemployed. Amongst the employed, 81.8 per cent were permanently employed, 5.3 per cent were temporarily employed and 12.9 per cent were self-employed.

Health indicators

These samples were used to show whether the study participants had raised levels of fibrinogen or C-reactive protein (CRP), both of which are inflammatory markers and are associated with increased risk of heart disease. Healthy lifestyles decrease CRP levels, while obesity, physical inactivity and smoking increase them.

We compared the levels of these markers in those who were unemployed, permanently employed, temporarily employed and self-employed. We took into account a range of individual, social and health factors which might also influence the levels of these markers.

We didn’t find links between employment status and levels of CRP – but we did find links with fibrinogen.

We looked at how the levels of fibrinogen in different types of employee compared with those who were unemployed. And while those in permanent jobs or self-employed had lower levels of this marker, those in temporary work had similar levels to the unemployed.

So, not all types of work are equally beneficial in health terms – and in particular, temporary work would seem to be linked with worse health than other types. Indeed, in health terms we may actually be just as well off being unemployed as we are in an insecure job.

Why does this matter? It matters because less stable types of employment have grown in recent decades, with many workers employed on fixed-term contracts and experiencing uncertain job conditions. This has already been shown to have negative psychological consequences.

And since the recent global recession, which happened just before our data was collected, both unemployment and temporary employment have expanded. The European Union has a higher temporary employment rate than the OECD average  – 14.2 per cent compared with 11.2 per cent in 2016.

Levels of temporary employment in the UK are lower than the EU average – just six per cent in 2017 and four per cent in 2019  – but temporary employment has become more common since the financial crisis, particularly among young people. The rate of young people in the UK going into precarious employment has already resulted in poorer mental health.

Lessons for policymakers

If temporary employment is associated with an increased risk of mortality then earlier research which has simply compared unemployment with employment has not captured the complexities of the situation.

In conclusion, our findings would suggest there is little difference between the health effects of temporary employment and unemployment, using these particular indicators.  And given the continuing rise of precarious modes of employment across developed countries, this has significant implications for public health. Policymakers should encourage employers to expand the use of permanent contracts.

Unemployment, employment precarity, and inflammation, by Rachel C. Sumner, Rachel Bennett, Ann-Marie Creaven and Stephen Gallagher, is published in Brain, Behavior and Immunity.

Rachel Sumner and Rachel Bennett are based at the School of Natural & Social Sciences, University of Gloucestershire, United Kingdom; Ann-Marie Creaven and Stephen Gallagher are at the Health Research Institute, Department of Psychology, University of Limerick, Ireland.

Young woman sat by window

Are some types of job bad for your mental health? And how can employers ensure poor mental health does not lead to early retirement?

Mental illness is a major cause of early retirement – but do those who are forced to leave work early for this reason get better afterwards? What is the relationship between work stress and mental health? A new study of public sector workers in Finland suggests there is a link – and there are important lessons for employers. Tarani Chandola from the ESRC International Centre for Lifecourse Studies was among the authors of the study.

One way in which we can track the prevalence and level of mental illness is by looking at the use of psychotropic medication – that is, medication which can alter one’s mental state. This group of drugs includes common antidepressants, anti-anxiety drugs and antipsychotic medication. 

If there is a link between work stress and mental illness, then we should expect those forced to leave work for this reason to get better after retirement. So by tracking the levels of psychotropic medication among a group of workers before and after retirement, we could find out the extent to which there was such a link.

We were able to use data from a long-term study of Finnish public sector workers to examine the issue more closely. 

It matters because previous studies have shown an increase in the use of this group of drugs among all those who take disability retirement, particularly those whose retirement was due to mental ill health. Those from higher social classes saw the biggest drop in medication use after retirement, suggesting there are social factors at play here, too.

Global issues

The effect does seem to vary around the globe, though – some studies from Asia found an increase, rather than a decrease, in mental health problems after leaving work. But in Europe, retirement has often been found to be followed by an improvement in both mental and physical health. Retirees have reported sleeping better, feeling less tired and generally feeling a greater sense of wellbeing. 

We were able to use data from the Finnish Public Sector study cohort study, which followed all employees working in one of 10 towns and six hospital districts between 1991 and 2005. The study included participants from a wide range of occupations including administrative staff, cleaners, cleaners and doctors, and they were followed up at four-year intervals regardless of whether they were still in the same jobs. Their survey responses were linked to a register of medication purchases for at least two years before retirement and two years after.

We had information on 2,766 participants who took retirement because of disability. Uniquely, the data included both participants’ use of medication and their perceived levels of work stress. So we were able to ask whether there were differences in this pre and post-retirement effect between those in low and high-stress jobs.

Specifically, we looked at something called effort-reward imbalance – that is, when workers put in too much effort at work but get few rewards in compensation: according to a recent review, this carries an increased risk of depressive illness. 

If our theories were correct, we would see a decline in the use of psychotropic medication after disability retirement, and it would be greatest among those with high levels of effort-reward imbalance. Along with mental illness the other major cause of disability retirement in Finland is musculoskeletal disease, so we categorised our sample in three groups – mental illness, musculoskeletal disease and ‘other.’ Eight out of 10 in the sample were women, and three out of 10 reported high effort-reward imbalance before retirement.

Unsurprisingly, those who retired due to a mental disorder had the greatest increase in psychotropic drug use before retirement. And those who were in high-stress, low-reward jobs had higher levels of medication use than those who were not. But after retirement, there was no difference in psychotropic drug use between those with high vs low effort-reward imbalance. It looked as though stopping work in high stress jobs reduced the need for higher psychotropic medication use among those workers who exited the labour market for mental health reasons.  

Retirement because of musculoskeletal disease or other causes was not associated with any similar link between stress level and psychotropic medication.

Lessons for employers

Our study showed that among people retiring due to mental disorders, those in high-stress, low-reward jobs benefited most from retirement. So it’s likely that they could benefit from the alleviation of work-related stress before retirement, too.

In conclusion, if employers could find ways of reducing the levels of stress suffered by employees suffering from mental ill-health, their early exit from paid employment might be prevented and their working lives might be extended. 

Psychotropic medication before and after disability retirement by pre-retirement perceived work-related stress was published in the European Journal of Public Health, Vol. 0, No. 0, 1–6. 

The other authors were Jaana Halonen, Taina Leinonen, Ville Aalto, Tuula Oksanen, Mika Kivimäki and Tea Lallukka of the Finnish Institute of Occupational Health; Hugo Westerlund and Marianna Virtanen of the Stress Research Institute, Stockholm University; Martin Hyde of the Centre for Innovative Ageing, Swansea University; Jaana Pentti, Sari Stenholm and Jussi Vahtera of the Department of Public Health, University of Turku; Minna Mänty of the Department of Public Health, University of Helsinki; Mikko Laaksonen of the Research Department, Finnish Center for Pension.

These authors also have the following additional affiliations: Jaana Halonen; Stress Research Institute, Stockholm University; Jaana Pentti; Department of Public Health, University of Turku; Minna Mänty; Statistics and Research, City of Vantaa, Finland; Mika Kivimäki, Department of Public Health, University of Helsinki and Department of Epidemiology and Public Health, University College London; Marianna Virtanen, School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu; Tea Lallukka, Department of Public Health, University of Helsinki.

Are universal state pensions discriminating against those in lower-skilled jobs?

With the state pension age likely to rise further in coming years, are policymakers right to link pension eligibility to average life expectancy? In a one-size-fits-all system, which social groups will lose out? Dr Emily Murray and colleagues* used census data to look at who lives longest after leaving work.

In most industrialised countries, the eligibility age for state pensions is being increased. Between 2011 and 2018, the United Kingdom government raised the State Pension Age for women from age 60 to 65, to match that for men, and a further increase to age 67 for both genders is planned by 2028. A further increase to age 68 by 2039 has been mooted.

Yet our state pension system ignores some very basic facts – it doesn’t take into account the wide disparities in health and life expectancy between different social classes. Those in professional occupations can expect to live longer and to enjoy good health for longer than those in manual jobs. For example, the average 50 year-old man in a professional job can expect to enjoy a further 25 years of good health, while a man the same age in a manual occupation can only expect 18: a seven-year difference. That is why lower social class groups are more likely to find themselves on disability benefit.

We wanted to look more closely at these occupational social class differences in the amount of time older adults live after they stop work, and in particular at the extent to which these differences are due to health.

We used the Office for National Statistics Longitudinal Study, a one per cent representative sample of respondents to the English and Welsh censuses since 1971.  For our analysis, we included respondents who were aged 50-75 at the time of the 2001 census and who had stopped work by 2011 – the average age of stopping was 58 for women and 60.2 for men. These workers were born in 1951 or earlier, so men would have been eligible for state pension at 65 and women at 60.

That gave us a sample of 76,485 people, and over the next 10 years we were able to monitor deaths  – by 2011 14.6 per cent of the women and 25.1 per cent of the men had died.

We could see that for both genders, those in lower social classes tended to die younger – professional women lived two years longer than unskilled women, and professional men three years longer than unskilled men.

We estimated professional women in good health would live five years longer than unskilled women in poor health, while for men the gap would be five and a half years.

But despite these longevity gaps, those from lower social groups were facing more years between leaving work and being able to draw their state pensions – because they left work earlier.

We estimated that if two women were 65 in 2001, the woman who had worked in an unskilled occupation would live five years longer after leaving work than the professional woman with good health – because the unskilled woman would have left at a younger age. Two men in the same circumstances would live on average 25.0 and 19.5 years from stopping work to death.

The most likely explanation is that poor health has a greater impact on the ability of manual workers to continue working than it does on non-manual workers.  It is however important to note that associations between social class and post-work years were not entirely explained by health, and we feel more research is needed on this.

Poor health

But the conclusion is clear: our results show that a uniform state pension age disproportionately affects the poorest among us, because on average they must wait longer between stopping work and qualifying for their state pension, at a time when they are likely to be in poor health. This is despite the fact that they are likely to have started work younger and therefore to have worked and paid contributions for just as many years as their better-off peers.

The solution to this inequality is not straightforward. The preferred strategy for UK policymakers is to support individuals to stay in work for longer, and there is evidence that the average age of leaving work exit is increasing.  However, over half of women and two-fifths of men  still fall out of the labour market before state pension age.

Some researchers have suggested that pension ages should directly reflect life expectancy differences.  Alternatively the age requirement could be dropped and pension eligibility could be based solely on the number of years in work.

We believe a two-year earlier pension age may be more appropriate for individuals who work in manual occupations, given that they leave work earlier than professional workers not in good health.  With rises in pension age already in law, and evidence of stalling life expectancy, it is vital that researchers and policy-makers assess how these rises will influence financial security and health for the most vulnerable in society.

Inequalities in time from stopping paid work to death: findings from the ONS Longitudinal Study, 2001 to 2011 is by Emily T Murray,  Ewan Carr, Paola Zaninotto, Jenny Head, Baowen Xue, Stephen Stansfeld, Brian Beach and  Nicola Shelton.

*Emily T Murray, Ewan Carr, Paola Zaninotto, Jenny Head, Nicola Shelton and Baowen Xue are based at the Department of Epidemiology and Public Health, University College London.

Ewan Carr is also based at the department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London.

Stephen Stansfeld is based at Queen Mary University of London, Wolfson Institute of Preventive Medicine, Centre for Psychiatry, London, EC1M 6BQ, UK

Brian Beach is based at the International Longevity Centre – UK, SW1P 3QB, London, UK.

Woman doing housework

Domestic work – why do women still do the lion’s share?

A recent international report suggests men need to increase their time spent doing unpaid care work by a minimum of 50 minutes per day in order to do 50 per cent of the work. The report calls for bold measures to help all men do their fair share of this work by 2030 and thus promote gender equality. So what do we know about how modern couples in the UK divide unpaid domestic work and the drivers behind that? A new study from Anne McMunn at the ESRC International Centre for Lifecourse Studies at University College London investigates why greater workplace equality has not yet been matched by a more equitable division of labour at home.

Some studies suggest education is the key to equality within the home – that women with better education, and therefore greater earning power, are in a stronger negotiating position when it comes to housework.

But that theory doesn’t entirely hold water – it’s clear that even when women are better educated than their partners, they’re still likely to bear the heaviest burden when it comes to domestic labour.

Similarly, it’s been suggested that domestic work is divided according to time available – so when a male partner works longer hours, the female does more housework. But again, the reverse doesn’t hold true and women who work more hours outside the home still do more housework too.

Longitudinal study

We used the UK Household Longitudinal Study, which has surveyed around 40,000 households since 2010, to examine a number of hypotheses about why greater workplace equality hasn’t been matched by a more equitable division of labour at home.

Does a shared belief in equality make a difference? As men are often asked, in the modern world, to do more domestic labour, are their beliefs a driving factor? What is the role of education, if any, in how couples divide up these tasks? If one partner is resistant to sharing the work, is the other empowered by having a higher level of education?

Using opposite-sex couples in the study who were aged 16-65 and had answered the relevant questions, gave us a sample of 8,513 couples. We looked at four types of work to give us a full picture of the labour those couples did: housework, paid employment, childcare and adult care – for instance, caring for an older relative.We used a technique that allowed us to see what groups emerged from the data to see how contemporary British couples share or divide these different types of work.

We also categorized our couples according to their answers to a series of ideological questions – were they both similarly traditional, egalitarian or middling, or was one partner more egalitarian while the other was more traditional?

Education levels

Then we looked at their levels of education – were both equally educated, was the woman more highly educated or was the man more highly educated?

Very few of the couples shared work equally. In just six per cent of couples, the woman was the main earner while domestic tasks were shared quite evenly. These women were likely to be more highly-educated than their partners. In a further one per cent of couples  the man remained at home and did more than 20 hours’ domestic labour. Even in those cases, around two thirds of the women also did some domestic work.

However, these stay-at-home men were quite likely to be caring for an adult – four out of ten of them provided more than 20 hours’ care per week. Only 30 per cent of female-earner couples had children under 16 living at home, and of those just a quarter of men had the main responsibility for childcare. Men in this group did more housework than in some other groups, but they still did less than their partners.

Almost half (49 per cent) of couples were dual-earner couples in which both members of the couple tended to be employed full-time but these couples were less likely than traditional couples to have children at home.

Traditional divisions of labour

About 30 per cent of couples were traditional in the division of work with men working full-time and women not employed or working short hours. These couples tended to have dependent children at home and women in this couples did large amounts of housework, and in a small minority of women in these couples doing over 20 hours of housework per week.

A small group of couples (two per cent) also emerged in which women worked part-time and men worked very long hours at 60 hours per week or more. These women had more responsibility for care, and more for housework.

The third most common group, at 13 per cent, was a slightly older group of couples in their fifties or early sixties, in which neither were working full-time and there was little or no care responsibility. Women in these couples did relatively high levels of housework, suggesting that these couples may have previously followed a traditional gender division of work.

Those couples who didn’t have shared egalitarian beliefs – either both had traditional views or one did but the other didn’t – were more likely to fall into a more traditional work pattern.

What about education?

Men who were better-educated than their partners were more likely to fall into the traditional working patterns, and men with lower educational qualifications than their partners were more likely to stay at home. And these traditional patterns were even more likely to pertain when the man was more highly-educated and both shared traditional views.

So, education makes a difference, and so does a shared ideology. But it is important to note that very few men, in any category, did longer hours of domestic work than their female partner. So when it comes to housework and caring, gender equality remains rare and gender norms remain strong. 

Our beliefs may form a starting point for shaping our behavior, but that’s only a starting point, and not a solution. The ‘bold’ 50 minutes for 50 percent suggestion in the State of the World’s Fathers report, certainly seems to be grabbing the bull by the horns and, like our research, points clearly to the need for urgent change in terms of who does the daily care work in our homes. That is if we genuinely want a significant shift in power relations between men and women and to bring about gender equality.

Gender divisions of paid and unpaid work in contemporary UK couples is research by Anne McMunn, Lauren Webb, Elizabeth Webb and Amanda Sacker is published in the journal, Work, Employment and Society.

 

Is working flexibly good for your health?

Flexible working is considered good practice – and in England, most workers have the right to apply to work flexibly after they’ve been in their job six months. But what do we know about the benefits? A new study by Tarani Chandola and colleagues used biological measures to look at differences in stress markers among workers with reduced hours and those without.

In recent years many employees have been able to alter their work patterns to fit in with childcare and other responsibilities. Typically, this can mean working part-time, job-sharing, only working during school term-times or working from home some of the time.

It’s assumed this should help to relieve stress. But until now, we didn’t know whether this was necessarily the case. After all, there could be down-sides – for example working at home can mean a blurring of the boundaries between work and family time, part-time working can be a barrier to promotion and job-sharing can bring its own tensions.

Until recently we had to rely on workers’ own reports of how they felt in order to judge this interplay between work, family life and stress. But now a number of social surveys have begun collecting samples which allow us to measure biological changes which can indicate stress, too.

This is known as ‘allostatic load’ – when we’re repeatedly subjected to stress or trauma, this can lead to chronically heightened levels of stress hormones. And that is associated with all sorts of long-term health problems, such as heart disease, type-2 diabetes and depression.

We were able to use data from participants in the Understanding Society study, which began in 2009 and which follows more than 60,000 adults in 40,000 households. As well as responding to detailed questionnaires, many of them have been visited by nurses who have taken physical measurements and blood samples.

Blood-based markers

As well as blood-based markers such as insulin growth factor 1 and cholesterol, their pulse rate, blood pressure and waist-to height ratio were also measured.

After taking out those who weren’t employed, who didn’t have the nurse visits or for whom some measurements were missing, we had a sample of a little over 6,000 people.

All those people had been asked whether flexible working arrangements were available at their workplace, how many hours they worked and whether they were the primary carer for their children.

We categorised working hours into three groups, with different levels for men and women because they tend to have very different working patterns. So women were grouped into those working less than 24 hours per week, more than 25 hours and more than 37 hours; while men were grouped into those working less than 37 hours, 37-40 hours and more than 40 hours.

Unsurprisingly, we found more women than men had made use of flexible working  arrangements – almost no men in our sample were the main carers for two or more children.

Chronic stress

There were particularly high levels of biological chronic stress markers among women with childcare responsibilities who worked more than 37 hours per week. Those with similar childcare responsibilities but working fewer than 25 hours per week didn’t have any measurable effect on their stress levels.

Both men and women who had access to, and made use of, reduced-hours flexible working had lower levels of biological stress markers than those who didn’t have flexible working.

We found these types of reduced-hours arrangement were more common among those in lower-paid occupations, especially among men, and among older workers of both genders.

Other types of flexible working arrangements, such as working from home, were more common among those from more advantaged social groups. But we didn’t find any association between these types of working and lowered levels of stress.

So, what has our study told us? We’ve learned a good deal about the complex relationships between social and biological factors in our lives. And, crucially for policymakers, we can see that it’s particularly important for women with childcare responsibilities to be able to access shorter working hours when they need to. For employers, this isn’t just a matter of logistics and of ensuring a stable and happy workforce – it’s also a major factor in ensuring that workers live longer and healthier lives.

Are Flexible Work Arrangements Associated with Lower Levels of Chronic Stress-Related Biomarkers? A Study of 6025 Employees in the UK Household Longitudinal Study, is research by Tarani Chandola (University of Manchester and UCL), Cara Booker, Meena Kumari and Michaela Benzeval (University of Essex) and is published in Sociology.

Would reducing social inequality lead to more years of healthy life?

Across Europe, there’s good news for older people – life expectancy is on the rise and levels of disability among older people are falling. But there are concerns that a longer life may not be a better life for all. So who benefits from increased life expectancy?  Jenny Head and colleagues from the IDEAR network find those with a higher occupational status can expect the greatest number of years of healthy, disease-free life.

We know from lots of studies that there are big differences in life expectancy between different social groups. And we know that those in higher social positions tend to benefit more from that rise in healthy life expectancy.

But, given that many governments expect people to extend their working lives, we specifically need to know about the different expectations of people in different occupational positions – which is slightly different.

Together with colleagues in the IDEAR networK, we looked at what those from different occupational backgrounds might expect in later life – to be precise, how many years with good health can they expect to enjoy between the ages of 50 and 75?

The data came from four cohort studies in England, Finland, France and Sweden.

We were able to look at data from 9,213 people in the English Longitudinal Study of Ageing from 2002 onwards. We also had information on 42,978 people who took part in the Finnish Public Sector study between 1997 and 2013. In France, we used the GAZEL Cohort Study, which gathered information from 18,263 people working for the national utility company from 1989 onwards. And in Sweden, we looked at a sample of 8,186 people who responded to the Swedish Longitudinal Occupational Survey of Health between 2003 and 2014.

Health measures

We used two health measures: whether participants rated their own health as good or poor, and whether they had ever been diagnosed with heart disease, stroke, chronic lung disease, cancer or diabetes.

In all the cohorts, people in lower occupational positions could expect fewer years of life than those in higher occupational positions – and they could expect to spend fewer of those remaining years in good health.

So in England, both men and women in high-grade occupations could expect more than four years’ extra healthy life when compared with men and women in lower-grade occupations. In Finland that gap was wider, with those in high-grade jobs expecting at least six and a half years more good health. In France the difference was around two and a half years, while Sweden had the smallest gap of a little more than two years.

This pattern was consistent across the four countries and for both men and women. There were also socioeconomic inequalities in chronic disease-free life expectancy, although these differences were less marked than for self-rated health.

Better understanding

Why does this matter? A better understanding of the future health of older people is crucial to policy-makers because it affects public expenditure on income, health and long-term care. It also matters because governments want to extend working lives and increase State Pension ages, and in order to do that they need older workers to stay healthy.

Our results indicate that those in lower socioeconomic positions may be doubly disadvantaged because they have worse health but may also need to work longer for financial reasons. To achieve extended working lives for all, policy-makers will need to find ways of reducing those social class differences in health expectancies.

Socioeconomic differences in healthy and disease-free life expectancy between ages 50 and 75: a multi-cohort study, by  Jenny Head, Holendro Singh Chungkham , Martin Hyde, Paola Zaninotto, Kristina Alexanderson, Sari Stenholm, Paula Salo, Mika Kivimäki, Marcel Goldberg, Marie Zins, Jussi Vahtera and Hugo Westerlund, is published in the European Journal of Public Health.

 

Early retirement – can welfare systems help ease the transition?

The post-war baby boomgeneration in developed countries is reaching retirement age and this is placing strain on welfare systems. Sol Richardson and colleagues from the ESRC International Centre for Lifecourse Studies at UCL find the type of welfare system under which we live can affect our prospects of having a happy and fulfilled retirement.

We know stopping work can lead to changes in our sense of personal wellbeing both positive and negative. And we know this can be influenced by a range of factors, such as whether an individual has left work at the usual age or has stopped early.

There are other factors which can make a difference to how we fare after retirement, too: If we were dismissed, retired through illness or through unemployment, for instance, the change is more likely to hit us hard.  

But how much difference do the different types of welfare system which exist in different countries make to those who leave work early? Until now we havent had much clear evidence on this point.

Data

We looked at a sample of people from 16 countries, using data from the Study of Health, Ageing and Retirement in Europe (SHARE) between 2004 and 2013, and from the English Longitudinal Study of Ageing (ELSA) between 2002 and 2013 these are studies which revisit their participants over time.

Our subjects were aged 50 years and over and had been visited before and after they left work.

We looked at a total sample of 8037 respondents who had left work between 2002 and 2013 and for whom we had information not only on work history but also on personal wellbeing.

We categorised how people left work according to the type of benefit they received afterwards: Were they receiving disability benefit, unemployment benefit, sickness benefit, social assistance, early retirement pension, old age pension or none of those?

Retirement age is different in different countries it can depend on gender or on the number of years worked, and its been rising in many countries. So we defined retirement as the earliest age at which an individual can draw a full pension if he or she has been working since the age of 20.

And we looked at the wellbeing of our subjects, using a validated scale called CASP-12 (control, autonomy, self-realization and pleasure.)

And then we compared these findings according to the type of welfare regime the participants had in their home countries again using an internationally-recognised scheme that relates to how social benefits are granted and organized.

Negative effects

We found that those who left the labour market because of unemployment or disability and who left outside of the typical time-frame tended to experience negative effects on their personal wellbeing.

How much difference did country of residence make? We found this was significant, but that only a small proportion of the difference was down to the country itself. Almost two thirds of the wellbeing gaps we found between individuals in different countries could be accounted for, we found, by the type of welfare system they had.

Those living in Scandinavian social democratic welfare systems experienced the most positive transitions but this effect is unlikely to be down to expenditure alone. Other factors could be important for instance, employment rules guiding the ways people left work. Different finance mechanisms, the extent of benefit coverage and the eligibility regime for those benefits could also have an effect.  

When we looked at the different types of welfare system we found people in systems which could be described as Bismarckian,such as France or Germany, or  Scandinavian,such as Sweden or Denmark, did better than those in systems which could be categorised as Mediterranean,such as Italy or Greece.

As a generalisation, Scandinavian systems can be described as Social Democratic. They spend the most, they have high levels of cash benefits and a strong emphasis on services.

Bismarckian countries emphasise earnings-related cash benefits like pensions and they provide reasonable services, but not at the level of Social Democratic countries.

In Mediterranean countries, the pensions system is fragmented and services are rudimentary. People living in Mediterranean systems are more likely to rely on family and the voluntary sector for support.

Policy implications

What lessons should policy-makers draw from our study? We found that higher expenditure per head, particularly expenditure on non-healthcare services such as home help, did help our participants to feel better after they left paid work.

And our results have important implications for welfare policy: They underscore the importance of welfare services as greater numbers of workers approach retirement age and leave the labour market.

Country-level welfare-state measures and change in wellbeing following work exit in early old age: evidence from 16 European countries, by Sol Richardson, Ewan Carr, Gopalakrishnan Netuveli and Amanda Sacker, is published in the International Journal of Epidemiology, 2018, 113.

Working with a long-term illness – does employment status make a difference?

Across the developed world, a growing share of the population suffers from chronic disease such as diabetes, arthritis or heart problems – in the EU, around 45 per cent of those aged 55-64 had such a disease in 2015. And that affects their ability to work: just half of those with chronic illnesses are employed, compared to three quarters of those without. But how do the self-employed cope with such conditions, when compared with those in employment? Maria Fleischmann and colleagues from the RenEWL project find these differences in work status can make a major difference.

We know that when people become chronically ill, changes in their working conditions can help them to continue working. And we also know that good working conditions – being able to control how you use your time and how you do your job, whether you make the decisions and whether you feel valued, for instance – can help all of us to stay in paid work for longer.

And of course, if you become ill you’re more likely to feel the need to take time off or maybe to give up work altogether. We wanted to compare how the employed and the self-employed adjust their working conditions when facing a diagnosis of chronic disease.

Existing research tells us that many older people work for employers, and have to ask for their approval when it comes to making adjustments to their working conditions. The self-employed, meanwhile, are much more able to make their own decisions and tend to feel they have more control over their working lives.

We looked at people’s ability to control their work: physical demands, working hours, psychological demands such as how fast they had to work, and social aspects such as whether they felt valued.

And we had a great source of data for this – the English Longitudinal Study of Ageing (ELSA), which has followed a total of almost 9,000 over-50s since 2002.

From that group we were able to find and study 1389 participants who reported no chronic diseases when they were interviewed in 2004-5 – the second wave of interviews – and who were in work.  We were then able to look at what happened to them before the seventh wave of interviews, in 2013-14.

A little over 40 per cent of our sample were in managerial or professional occupations, a quarter in intermediate occupations, and almost 30 per cent in routine and manual occupations.

After diagnosis

At each interview, respondents were asked whether they had been diagnosed by a doctor with lung disease, asthma, arthritis, cancer, high blood pressure, diabetes or high blood sugar, stroke or heart problems.

During the study period 510 of the 1389 sample members were newly diagnosed with one of those conditions. We were able to look at how they fared at work for four years after that, and we found some striking differences between how the employed and the self-employed seemed to have been treated.

The physical demands of our participants’ jobs were pretty similar before their diagnosis, for instance. But afterwards significant numbers of those who were employed said that those demands had actually increased when they were diagnosed. The self-employed, meanwhile, told us the opposite had happened to them – they reported significantly lower physical demands at work immediately after diagnosis. This effect continued for some time, though it grew less pronounced.

How could that be? We think maybe the increase in physical demands among the employed could be due to perception – similar demands might be perceived as more strenuous by the chronically ill. The self-employed, meanwhile, have more freedom to adjust those demands when they feel they need to.

The self-employed reported that their working hours dropped by an average of 2.8 hours per week on diagnosis, while those who were employed did not see a change. This effect was not statistically significant, though.

Employees found that their level of autonomy at work also dropped marginally, while for the self-employed there was no significant change. We did not find any major changes in psychological or social conditions in either group.

So, what did we learn? Essentially, that improvements in working conditions after diagnosis of chronic illness were restricted to the self-employed. So employers may need to ask themselves some hard questions – do they want to hold on to workers who become unwell? If they do, then they should consider the levels of flexibility they offer, and they should think about making adjustments for those workers if they don’t want to lose them.

In an ageing society, older people are expected to work ever longer and therefore to remain at work even when they begin to suffer from health problems. Our findings should also encourage policy-makers and governments to think about how chronically ill older adults are treated at work.

Changes in autonomy, job demands and working hours after diagnosis of chronic disease: a comparison of employed and self-employed older persons using the English Longitudinal Study of Ageing (ELSA)by Maria Fleischmann, Ewan Carr, Baowen Xue, Paola Zaninotto, Stephen A Stansfeld, Mai Stafford and Jenny Head, is published in the Journal of Epidemiology and Community Health.

 

Work stress and ill health – what’s the link?

Lots of studies have suggested stress can be a cause of ill health – and that leads to people ceasing to work before they reach retirement age. But most have offered only a snapshot on the issue. Now a new analysis of data from a major panel study by José Ignacio CuitúnCoronado and Tarani Chandola from the University of Manchester has shed new light on how work stress can affect an employee’s health over a longer period.

Many animals have the ability to adapt to environmental changes and pressures so that they’re better prepared the next time they happen. Bears can put on fat as winter approaches, for instance, to help them stave off hunger and stay warm.

And human beings can do this too. Stressful situations trigger chemical responses which can help to give us extra resources when things are tough. Our neuroendocrine systems, for instance, trigger hormonal responses which enhance our physical performance when we need it most.

But these valuable systems can have a downside. In our research, we wanted to look at how repeated exposure to stressful situations might contribute to health problems, particularly in people nearing the end of their working lives. We call this stress-induced effect ‘Allostatic Load’ – the wear and tear” on the body that accumulates as an individual is exposed to repeated or chronic stress because of fluctuating hormonal responses.

Given that many governments are looking for ways to extend working lives, there’s particular interest in finding out how stress can affect the health of older workers.We were able to tap into a rich source of information – the English Longitudinal Study of Ageing (ELSA), which has followed a representative sample of almost 10,000 over50s since 2002.

These participants have been interviewed regularly and one of the things they’ve been asked to report is whether they’ve experienced a sense of imbalance between the effort they put into their jobs and the rewards they get out.

Health testing

This gave us a sample of 2663 older adults, all over 50 and living in England, who’d reported these feelings at least once and who’d been assessed as having had an adverse reaction to them. We wanted to know whether repeated episodes had a bigger effect than just one, and whether the effect would be just as strong for past episodes as it was for more recent ones.

Between 2004-5 and 2014-16 the group were asked about stress at work, but they also underwent physical tests to see how the various systems in their bodies were bearing up.

They were visited by nurses who carried out a battery of tests including taking hair samples to assess levels of the stress-related hormone cortisol, carrying out blood pressure checks to provide information on their cardio-vascular systems, white blood cell counts to assess their immune systems and cholesterol checks on their metabolic systems. Participants also had measurements taken of their waist to height ratios – a good indicator of coronary heart disease risk factors.

Overall, we found the more occasions of work-stress a participant had reported, the greater their ‘Allostatic Load’ index – that is, the greater the amount of biological wear and tear. Moreover, the evidence suggests that employees who had experienced stress more recently (towards the end of their working career)had higher levels of health risk when compared to those who had experienced it earlier in their careers.

This suggests there is an association between repeated reports of stress at work and biological stress mechanisms, which in turn could lead to stress-related disorders such as coronary heart disease, type-2 diabetes or depression. This also suggests that previous cross-sectional studies which reported small or inconsistent associations may have suffered because they were only measuring one effect at one time.

Work-related stress is one of the reasons for labour market exit – and our findings would suggest that earlier, snapshot studies may have underestimated the true effect of work-related stress on health over a lifetime.

As this is an observational study, it is not possible tomake any causal claims. Also, there may be other factors that we have not taken into account that may explain the association between stress and disease risk. For example, sleep problems may be relevant – though they may also be part of the journey from stress to ill-health.

But equally it is possible that cumulative exposure to work stress is resulting in damage to employees’ physical health, which is then leading to disability and an early exit from the world of work. So, if we want to extend working lives then reducing work-related stress could be one of the keys to achieving that goal.

Allostatic Load and Effort-Reward Imbalance: Associations over the Working-Career, by José Ignacio Cuitún Coronado, Tarani Chandola and Andrew Steptoe, is published in the International Journal of
Environmental Reasearch and Public Health
.

Does education and job status affect the length of our working lives?

Who is most at risk of leaving work due to poor health? In a major international research project, Ewan Carr from the renEWL team has worked with colleagues at UCL, King’s College and Queen Mary University of London in the UK, INSERM and Paris Descartes University in France and the University of Turku in Finland to find out more about social inequalities and extended working life. Based on information from nearly 100,000 employees from seven studies in four countries, the research found employees with low levels of education or low occupational grade (e.g. unskilled or manual jobs) to be more likely to leave work for health reasons. While past studies have shown there is socioeconomic inequality in the ways that working lives come to an end, few have compared these trends across different countries.

Across Europe, ageing populations have forced governments to look at ways of extending working lives. As people stay healthier for longer, raising the state pension age has become a priority in a number of countries – in the UK this reform has already been implemented.

But this change is likely to be particularly challenging for those from lower socioeconomic backgrounds, who are known to lose both physical and mental ability more quickly as they age.

Planning for later life

There’s a double-bind here for this group. They’re more likely to be unable, through ill health, to continue to work in later life. But they’re also less likely to have the resources they need to keep them out of poverty in retirement.

People from lower socioeconomic backgrounds may have contributed less to their pension funds, and so may have to work even if they don’t want to, or if their health makes it difficult for them to do so.

Meanwhile those from higher socioeconomic backgrounds are likely to have bigger pension pots but also to have better health, which allows them to work for longer. They have a further advantage in that they are likely to have jobs they enjoy and which have more security – so they’re less likely to be forced into retirement or unemployment.

We wanted to find out more about this: would similar levels of poor health have a disproportionate effect on those who were less well educated, or who had lower-status jobs? If two people had the same health issues but had different social status, would one be more likely than the other to stay in work for longer?

Other studies have looked at these issues, but they had limitations. They tended to focus on single countries – or in some cases on the Nordic countries as a group – and weren’t necessarily applicable elsewhere. They often used things like disability benefit as a measure of work exit, and again these weren’t always the same from one country to another.

Work exit

Previous studies found people at both ends of the occupational ladder were more likely than those in the middle to extend their working lives, but for different reasons. Put bluntly, those at the top chose to continue working; those at the bottom were forced to do so.

We looked at data from seven independent studies in Finland, France, the UK and the USA. Some of these were drawn from representative samples of the whole population, while others looked at specific groups – for instance, the Whitehall II study in the UK followed a large group of civil servants over several decades. All the studies were based on people who were in paid work at around the age of 50. In total, our study covered almost 100,000 people.

We considered two measures of social status – level of education, and level of occupation. We assessed retirement age and route (i.e. whether it was for health reasons or not) using respondents’ own reports of their retirement as well as company and administrative records and benefits information.

Overall,wefound those with lower levels of education were more likely to leave work for health reasons – this effect could be seen for men in all the studies and for women in most. Lower occupational grades were also strongly linked to leaving work for health reasons.

These findings have important implications for policymakers, who usually calculate retirement age by sex but who don’t take into account factors such as family circumstances or social status. Policies which seek to extend working lives for all are likely to place those with lower socioeconomic status at a disadvantage – especially in countries where the benefits system doesn’t do much to help those who must leave because of ill-health. This study underlines a need both for greater flexibility in polices that extend working life and for greater recognition of the barriers faced by those from less privileged backgrounds.

Further information

Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohortsis research by Ewan Carr, Maria Fleischmann, Marcel Goldberg, Diana Kuh, Emily T Murray, Mai Stafford, Stephen Stansfield, Jussi Vahtera, Bowen Xue, Paola Zaninotto, Marie Zins and Jenny Head. It was first published in the journalOccupational & Environmental Medicine on March 12, 2018.

The studies used in the research were:

British Household Panel Survey https://www.iser.essex.ac.uk/bhps

English Longitudinal Study of Ageing http://www.elsa-project.ac.uk/

1946 National Survey of Health and Development http://www.nshd.mrc.ac.uk/

Whitehall II study http://www.ucl.ac.uk/iehc/research/epidemiology-public-health/research/whitehallII

Finnish Public Sector study, Finnish Institute of Occupational Health https://www.ttl.fi/en/

GAZEL cohort http://www.gazel.inserm.fr/en/

Health and Retirement Study http://hrsonline.isr.umich.edu/