Background and aims Many economic factors are associated with diet, yet the evidence is generally cross-sectional. Older people are considered especially vulnerable to poor diets from negative changes to varied economic factors. This review extends current knowledge on known correlates to decipher actual economic determinants of diet in older adults.
Methods Eight bibliometric databases were searched between May and December 2012, supplemented by hand-searches, with no restrictions on publication date or country. Longitudinal studies, or reviews, were eligible when examining diet as a function of change in an economic factor in non-institutionalised adults ≥60 years. Data were extracted using a standardised evidence table and quality assessed before narrative synthesis.
Results We found nine original studies for inclusion, of which eight examined change from work to retirement and one evaluated a food price intervention. Designs were generally pre-post without controls and varying in follow-up. Studies reported mixed impact on food spending and/or food intake. Retirement was shown to both reduce and have no impact on food spending and to have either positive and negative, or positive and no impact on food intake. Subgroup differences were observed, especially between men and women.
Conclusions Despite ample research on economic correlates of older adults' diets, little is still known about actual economic determinants of diet in this population. Studies of retirement suggest divergent effects in some but not all older people. Robust high-quality longitudinal studies to decipher economic drivers of diet must be prioritised in research and policy as firm conclusions remain elusive.
- Longitudinal Studies
- Systematic Reviews
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Diet is integral to population-level health promotion and to chronic disease management.1 Yet, as adults enter older ages, they tend to eat nutritionally suboptimal diets, reduced variety, and fewer vegetables.2–5 Overall older adults are not meeting recommendations for healthy diets, which are similar to those for younger adults.6 ,7 Eating well is therefore a necessary focus for public health and policy in tackling chronic disease and in supporting well-being through older age.8 ,9 But, to support eating well, a clear understanding of how choice(s) can be changed and the context of dietary change is fundamental.
Promotion of healthy diets cannot be only through individual choices and supportive psychosocial factors; a supportive context is also key, particularly economic access.10–12 Various economic factors influence diet, including food prices and money available to purchase food.6 ,12–17 Economic uncertainty might affect older people's food choice and diet variety as foods integral to a healthful diet (eg, fruit, vegetables, fish) can be perceived as a luxury; while healthier alternatives to common foods often carry a price premium.17 Modelling studies indicate that constraining food budgets can lower the nutritional adequacy of the diet.18 Estimates suggest that half of weekly income is needed for an older person on income support to eat a healthy diet19; while the considerably higher cost of therapeutic diets places an even greater burden on older people with limited incomes.19 ,20 Hence, having an adequate income is likely necessary to ensure a more varied and balanced diet for healthy older people, as suggested by Drewnowski et al.21
The economic sensitivity of diet is considered especially salient for older age individuals22 because they are more likely to have a low income,23 can experience two drops in income (through retirement and out-living savings),12 and have reduced opportunity to rebound from financial losses or shocks to their economic context as prospects for future employment are limited.24 For people aged 65 and over in the UK, food and non-alcoholic beverages comprise the greatest proportion of expenditures for basic necessities (eg, housing, fuel, power, and clothing and footwear) compared to younger age groups.25 The food share of the budget for basic necessities is even larger for older people on low income,26 and so it is perhaps not surprising that food is the necessity reduced first when income is restricted.11 ,19 ,20 ,26 ,27 Thus, changes in economic factors related to life transitions might constitute a key food choice determinant for this growing segment of the population.
Despite logical appeal, systematic examination of what happens to older people's diet over time when economic factors change is lacking.12 ,28 ,29 Nutrition and consumer research indicate that falling income led adults to reduce the variety and quantity of foods consumed, decreasing the intake of fish, rice, pasta, and frozen and salad vegetables. Conversely, rising income has been associated with the adoption of a more healthful, varied diet. Notably, the individuals experiencing a decrease in income imposed more dietary changes than those experiencing an increase.29 ,30 Economic models suggest food consumption shifts with a change in relative price,31 ,32 with different scenarios of taxation and/or subsidy,33 and that some social groups are more price responsive in demand for foods/components that are taxed and/or subsidised.34 But, dietary effects from change(s) in economic factors may not be sustained over time,32 and immediate effects may counter the expected beneficial direction for social groups most in need of support for healthy eating.33 ,35
This study aimed to systematically review prospective studies, or potential reviews, with data on diet of older adults as a function of change in economic variable(s). This paper extends current knowledge on correlates to decipher actual economic determinants of diet in older adults, to better understand a recurring concern about the potential vulnerability of older people to constraints on their choices in healthful eating.
Search and selection
Peer-reviewed literature was systematically searched using eight bibliometric databases (PubMed/Medline, SCOPUS, EconLit, PsychInfo, ASSIA, Web of Science, Embase and British Nursing Index); hand-searches (Food Choice Conference abstracts and references in retrieved full-texts); and expert advice. We followed a common approach for systematic reviews as given by the Cochrane collaboration.36 Since the Cochrane method for quality assessment (designed for appraising clinical practice) considers observational study evidence as low quality, we employed the Effective Public Health Practice Project tool and the Newcastle-Ottawa scale—both identified by the UK's HTA Programme as ‘best’ tools for evaluating observational studies.37 We applied free-text and thesaurus terms for ‘eating behaviour’, ‘economic environment’, ‘change’ and ‘older people’ after consulting a medical research librarian (see web only appendix A). No limitations were imposed on publication date, country or language, except in SCOPUS (English and French). Subject area was only restricted in SCOPUS and PsychInfo as half of records had unrelated subjects. Searches were performed separately by AC and EM between May and December 2012.
Inclusion and exclusion criteria
Our review included eligible longitudinal studies, or reviews, examining diet in community-dwelling older individuals as a function of change in an economic factor (eg, income, price, employment). Studies were considered when participants, or subgroup analyses, involved adults aged 60 and over. Criteria for exclusion included: cross-sectional design; exposure of interest lacking; position papers; editorials; institutionalised elderly; non-diet outcomes; unspecified age group; weight management interventions; and measurement validation studies. Intervention studies were excluded unless measuring diet as a function of financial incentives or change in another economic factor(s) (eg, reduced food price, subsidies, or coupons).
Two reviewers (AC and EM) screened titles and abstracts for potential eligibility and removed records based on exclusion criteria. Abstracts were examined further for full-text retrieval, excluding additional records. Retrieved papers were read in full and references followed up.
Quality assessment, data extraction and analysis
AC and EM independently assessed quality using an adapted checklist of itemised criteria, consisting of 25 questions and three response categories (‘yes’, ‘no’ and ‘can't tell’). Criteria covered: research question, design, representativeness, sampling, protection against bias and confounding (ie, comparability), completeness, results, conclusions and generalisability. A study was assessed as of high quality when approximately 80% of responses to checklist questions were ‘yes’, and of low quality when approximately 20% were ‘yes’. Completed assessments were cross-checked between reviewers, with one study additionally appraised by the senior investigator (PM).
Studies were analysed using a standardised evidence table with a priori determined headings. AC and EM extracted data on: stated study objective, design, year, population, geographical setting, exposure description, outcome(s) measured, reported findings, author and source. Reported findings were synthesised through a narrative approach while quality assessment helped interpret and explain differences in reported results. Any disagreements on eligibility, quality or synthesis were discussed with the senior investigator (PM) and resolved by consensus.
We identified 118 original studies and no reviews eligible for inclusion, of which nine met criteria for data extraction and quality review (figure 1).38–46 These mainly reported on work undertaken between the early 1990s and mid-2000s in a European context (UK,38 ,43 France,40 Finland,46 Sweden,39 and the Netherlands42), with some work conducted in the USA.41 ,44 ,45
Despite relatively scarce evidence, study quality was generally good. Eight included studies were rated as of high42 ,44 ,46 or medium38 ,39 ,41 ,43 ,45 quality; only one40 was considered low quality (see web only appendix B). We found only three studies which satisfied most quality criteria on design and comparability and were therefore rated as high quality.42 ,44 ,46 Compared to these high quality studies, medium studies had less study completeness and poorer reporting of results.
Study design and sample characteristics
Studies used before-and-after designs with prospective cohort or panel survey data (table 1). Length of observation varied, ranging from 3–5 months up to 11 years; the oldest studies identified did not report on the period of study.38–40 Sample sizes also varied widely, from under 50 to over 6000. Most examined impact in both men and women,38 ,40 ,41 ,44–46 and one explicitly analysed gender differences.44 Two focused on men only42 ,43 and one on women.39 Participants tended to be a mix of occupational or educational levels but some studies involved specific occupations, mostly office-based.38–40 ,46
Most studies defined the change in respondents' economic context in terms of retirement from work,38–44 ,46 except for one intervention study which examined change in food price.45 Generally, retirement was operationalised as a specific (legal) age or individual self-report. Some studies did not report an operational definition.39 ,40 ,42
Food spending and/or food intake were the dietary outcomes examined (table 2). Diverse measures were used to assess food intake. Four studies measured total diet based on healthful eating habits or types of foods eaten,39 ,40 ,42 ,46 two others assessed dietary components (eg, fibre38 or fruits and vegetables45). Assessment methods also varied, including: diet interview,39 food frequency questionnaire42 ,45 ,46 and food record/diary.38 ,40 Multiple approaches were employed to examine overall household food spending (weekly, annual)41 ,43–45 or individual spending on eating out,44 often using panel survey data. Additional outcomes measured included anthropometric measures,39 ,42 ,44 physical activity40 ,42 and wellbeing.40
Studies documented a pattern of mixed impact on food spending and consumption as a function of change in the economic context (table 2). Studies examining a shift from employment to retirement found spending decreased (7% to 11%) for certain groups (eg, co-habiting, involuntary retired) or settings (eg, eating out), but spending also stayed constant for single-person households, the voluntarily retired and home consumption.41 ,43 ,44 Reported effects came from three good quality studies of sufficient follow-up to permit accurate assessment of lasting effects on spending. The intervention study, in which fruit and vegetable prices were reduced by nearly 50%, reported decreased spending of low-income seniors at their most recent supermarket visit, with the greatest impact among seniors using the programme weekly. However, the study could not account for substitution in produce spending between supermarket and intervention site.45
Six studies examined dietary outcomes and all reported an increase in at least some aspect of food intake as a function of employment transition to retirement (table 2). Two studies revealed slight increases in daily fibre intake in British men and women, particularly when breakfast was consumed,38 or in consumption of pastry, potato chips and related food items by Swedish women.39 The food price intervention study found more low-income seniors in New York consumed vegetables and fruits 3 months after retirement.45 Finally, two studies documented an increased prevalence of healthy food habits in Finnish women who were retired compared to the employed,46 and an increased weekly intake of fish and vegetables and daily glasses of juice and alcohol in Dutch men.42
Some studies showed no impact on food consumption. For example, the main British foods contributing to increased fibre intake and the proportion of older people below recommendations stayed constant.38 Post-retirement improvements in women's healthy food habits were not seen in retired Finnish men compared to employed men.46 A small French study also found the distribution of nutrients appeared unchanged after retirement.40 Although this study was assessed as being of low quality, findings corroborate similar results of no impact from other good quality studies.
Finally, two studies reported decreases in food intake. A study of female Swedish municipal employees showed a decreasing tendency in average number of daily meals and in nearly all nutrients.39 Another study of rural Dutch men also documented reductions in consumption of meat and potatoes and milk, depending on level of occupational activity.42
This review has shown how, despite ample research on economic correlates of diet in older people, robust evidence of actual economic determinants remains scarce and largely framed in terms of employment transition to retirement. No relevant reviews were identified by our searches. However, we found nine relatively good quality studies reporting a mixed impact on food spending and/or food intake. Expenditures decreased and also remained unchanged; food intake increased and also decreased or stayed constant. Studies showed gender differences in impact on food spending and dietary intake. Effects also varied by retirement voluntariness, occupational activity level, living arrangements or purchase locations.
Reported results suggest that when an individual and/or their spouse retires, they reduce spending on food eaten away from, but not at, home. Notably, gender differences were observed insofar as spouses reduced away-from-home food spending when the wife, but not the husband, retired. Retirement's impact on food spending differed by living arrangements, with reductions occurring in co-habiting, but not single-person, households. The nature of retirement was also important, as larger decreases in food spending were reported for men retiring involuntarily despite their smaller income drop compared to men voluntarily retiring. The documented expenditure decreases were notably similar to the amount indicated by UK pensioners as sufficient to enable them to improve their diet.47 However, whose diet is impacted and by how much will be a matter not only of employment-related economic change but also of psychosocial context, which does not appear to be explained by known sociodemographic or health-related factors.
The impact on food intake depended on the dietary aspect measured and in whom, although increases were documented in all six studies reporting this outcome. For example, prevalence of healthful consumption patterns increased after retirement among Finnish women and Dutch men. However, employment-related economic change could also negatively impact women's diets through, for example, limiting the number of daily meals—a finding also reported in a recent qualitative study.48 Given the heterogeneity of food intake measures, reported increases and decreases are difficult to interpret in terms of contributing to dietary healthfulness. Whereas decreases in overall quantity might promote health if optimal nutrition remains high or improves, increased consumption of high-energy food items after retirement is likely to undermine nutritionally optimal diets.
The observed pattern of mixed impact on older people's diet in reported results could be explained by the complex context of employment-related economic change. The transition from employment to retirement involves diverse interconnected factors that are not only economic. For women at least, Brown et al48 illustrated well the complex link of life changes shaping dietary decisions and behaviours although financial changes and constraints most commonly and profoundly impacted their food choice. Another explanation for heterogeneity of documented impact is study differences in follow-up and therefore persistence of effect. Some results more likely reflected short-term impact on food spending or consumption (5–6 months after retirement), while follow-up over several years was perhaps more indicative of long-term behavioural changes. Yet, the average time spent in retirement prior to follow-up was only specified in two out of nine studies reviewed. Finally, between-country variation in policies for welfare, healthcare or mandatory retirement could also explain findings of mixed impact. Future studies should be designed to collect and analyse multilevel data on other socioeconomic characteristics, including length of and reasons for retirement, to clarify the role and relative contribution of multiple intersecting factors as potential economic determinants of older people's diet.
This review may have missed other evidence on economic mechanisms determining diet from grey literature as it focused exclusively on longitudinal studies in peer-reviewed publications. Included studies were also restricted to adults aged 60 years and older, which may have biased economic exposures analysed to employment-related change. This review is nevertheless the most comprehensive reported to date, with searches conducted by two reviewers in eight databases covering interdisciplinary literature from a wide range of social sciences, not only the health field. We did not restrict publication date to allow for potentially older studies, and used broad terms to help ensure the widest possible evidence was captured.
Our finding of scarce robust studies of economic determinants of older people's dietary habits is not new,12 ,28 but one might expect the growth in empirical work on economic influences to advance the evidence base. There still exists a large knowledge gap concerning economic determinants of diet in older ages, other than retirement. Among longitudinal studies of retirement and diet, the use of comparison groups remains underdeveloped and the exposure tends to have unknown duration. What has emerged from existing evidence is a confirmation of the acknowledged complexity of studying determinants of diet in older ages. We therefore reaffirm the call to public health researchers to analyse and theoretically account for combined effects and interactions between change in a given economic factor, such as employment, and other dimensions of life transition in older individuals.49–51
Despite the well established view that older people's diets are especially vulnerable to varied economic influences, robust evidence of economic determinants remains scarce. Only a small body of work has developed on the transition from employment to retirement as a dynamic period of economic change. It was clear that the direction and size of impact on food spending or habits differed across subgroups analysed, but much less is known about persistence of reported effects. Thus, firm conclusions about economic determinants of diet in older people are difficult to draw.
If public health and policy aim to promote healthy eating and support behaviour change, then greater attention is needed to reproduce and add to this burgeoning evidence base using controlled longitudinal studies, with different exposures of defined periods and multiple dietary follow-up in various subgroups of the older population. Only then can we know whether recurring concerns about increasing inflation and rising food prices have an impact, if any, on eating behaviours, how lasting they are and for which groups of older people.
What is already known on this subject
Many economic factors such as low-income and food price, are known to be associated with eating behaviours.
Older people are considered especially vulnerable to poor diets from negative changes in the economic context.
Although some studies suggest that a decrease in, for example, income might restrict food choice, no study has assessed comprehensively the evidence base in older people.
What this study adds
This review revealed that the change in one economic factor, namely employment to retirement, has divergent effects in some but not all older people and that little is still known about most economic correlates of diet.
It confirms the need to advance public health research in deciphering economic determinants of diet by analysing and accounting for synergies and interactions of complex socio–economic exposures.
We gratefully acknowledge Dr Vivien Hendry and Theodore Cosco for their very helpful and insightful comments on earlier drafts and we also thank the anonymous reviewers for their contribution to further improvements of this paper.
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
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Contributors AC conceived and designed the study and led drafting of the paper. AC and EM collected, analysed and interpreted data. PM informed study design and execution, as well as interpreted data. All authors revised the drafted paper critically for important intellectual content and all authors gave final approval of the version to be published.
Funding AC acknowledges full PhD funding from the Gates Cambridge Trust. PM and EM are supported by the Centre for Diet and Activity Research (CEDAR), a UK Clinical Research Collaboration (UKCRC) Public Health Research Centre of Excellence. Funding from the British Heart Foundation, Economic and Social Research Council, Medical Research Council, National Institute for Health Research and Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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