| Literature DB >> 23761410 |
Annalijn I Conklin1, Eva R Maguire, Pablo Monsivais.
Abstract
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.Entities:
Keywords: Ageing; Diet; Longitudinal Studies; Socio-Economic; Systematic Reviews
Mesh:
Year: 2013 PMID: 23761410 PMCID: PMC3756433 DOI: 10.1136/jech-2013-202513
Source DB: PubMed Journal: J Epidemiol Community Health ISSN: 0143-005X Impact factor: 3.710
Figure 1Modified PRISMA flow diagram of literature search and study selection. *Exclusion criteria: 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.
Characteristics of included studies
| Stated study objective | Study design | Year | Setting | Study population (n) | Description of exposure | Outcome(s) measured | Author | Source |
|---|---|---|---|---|---|---|---|---|
| To fill gap in longitudinal evidence on food habits before and after old age retirement | Pre-post, with control (survey, mean 3 years; adjusted for 7 covariates) | 2000–2002 and 2007 | Helsinki, Finland | Municipal employees, males (n=527); females (n=1824) | Old age retirement (63–68 years in Finland) | Healthy food habits (FFQ, 8-item index) (6/8=healthy) | Helldán | PubMed/Medline |
| (1) To understand how retirement decisions of older Americans influence household food consumption patterns by gender; (2) to examine impact of the change in food consumption on weight | Panel survey (Health and Retirement Study) | 1992–2002 | USA | Population aged 50+ (n=6012) | Retirement of self and spouse (ie, not working for pay currently and for past 3 months, and self-reported retired) | Household spending on food at home; individual spending on eating out; BMI | Chung | Hand-searched |
| To study the impact of retirement on diet, physical activity, BMI and waist circumference, over a 5-year follow-up | Prospective cohort, with control (retired vs. employed, by job activity) | 1997–2002 | Rural town, Netherlands | Men aged 50–65 (n=288) | Not specifically defined (retirement) | Food intake (FFQ); physical activity; anthropometric measures | Nooyens | Web of Science |
| To preliminarily evaluate the impact of the Veggie Mobile [intervention] on the shopping and eating habits of a group of community-dwelling seniors | Pre-post, no control (postal survey) | 2008 | New York, USA | Residents aged 55+ (n=43) | Reduced cost of fruit and vegetable provided weekly through a mobile van | F&V intake (6-item questionnaire, 24 h); frequency of supermarket visits and amount spent | Abusabha | Web of Science |
| To revisit spending on food at retirement and explore the hypothesis that retirement is accompanied by a negative wealth shock that causes people to reduce spending | Panel survey (British Household Panel Survey) (involuntary/early vs voluntary retired) | 1991–2002 | UK | Men aged 45–64 (n=2000) | Retirement (ie, first year man is both not working and self-reports retired) | Weekly food spending | Smith | Hand-searched |
| (1) To examine the relationship between consumption behaviour and retirement; (2) to test the bargaining model by comparing married couples behaviour at retirement to that of singles | Panel survey (Panel Study of Income Dynamics) (unmarried vs matched co-habiting pairs) | 1979–1986 and 1989–2002 | USA | Population aged 45–74 (n=553) | Retirement of husband (ie, latest reported year retired) | Annual household food spending (1985 US$) | Lundberg | Hand-searched |
| To evaluate dietary habits and body composition in a longitudinal study of municipally employed women before and after retirement | Pre-post, no control (median 5-month interval) | Not reported | Malmo, Sweden | Female municipal employees (n=116) | Not specifically defined (legal old age retirement) | Food intake (diet interview); height; weight; skinfolds; and waist | Steen | PubMed/Medline |
| To examine shifts in fibre intakes between pre- and post-retirement periods | Pre-post, no control (survey) | Not reported | London, UK | Near-retired employees of 2 firms (n=183) | Retirement from work (ie, minimum 6 months not in work) | Fibre intake (7-day weighed diary) | Davies | PubMed/Medline |
| To investigate the impact of retirement on one's eating habits and food intake | Pre-post, no control (comparison 6 months pre with 19 months post) | Not reported | Toulouse, France | Persons near retirement (n=52), majority teachers | Not specifically defined (retirement) | Food intake (3-day diary); physical activity, perceived wellbeing | Lauque | PubMed/Medline |
FFQ, food frequency questionnaire.
Summary of reported findings from included studies
| Study quality | Author | Food spending | Food intake | Details |
|---|---|---|---|---|
| High | Helldán | Prevalence of healthy food habits in retired women increased (41–53%), compared to still employed women (39–45%). No change seen in men after retirement (23–29%) vs remaining employed (24–27%). Sociodemographic and health-related factors did not explain difference among women. Retirement accentuated existing sex differences in healthy food habits. | ||
| High | Chung | Spending on eating out reduced by a mean of $10 per month when after the individual retired and by $7 after the spouse retired. The wife's, but not husband's, retirement decreased the spouse's monthly spending on eating out by $13. Retirement did not affect household spending on food at home. Weight gain was weakly predicted by spending on eating out. | ||
| High | Nooyens | Men retired from former active jobs consumed less potatoes, more fish, and more juice each week, than older men still working. Men retired from sedentary jobs consumed more alcoholic beverages, more vegetables, less meat, less potatoes and less milk on a weekly basis. | ||
| Medium | Abusabha | 48% reduced cost of F&V increased vegetable consumption from 33% to 51%; and increased fruit intake from 53% to 63%. Average spending at last supermarket trip decreased by nearly $15 and weekly Veggie Mobile shoppers spent $29 less at last supermarket visit than seniors using the programme less often. | ||
| Medium | Smith | Involuntary retirement reduced food spending by 7–11% (depending on definition used). Effect greater for involuntarily early retired who have no employer pension and with no educational qualifications. | ||
| Medium | Lundberg | Co-habiting households decrease their food expenditures, consumed both at and away from home, by about 9% after retirement of male. Retirement in single-person household did not show any significant decrease in food consumption. | ||
| Medium | Steen | Clear decreasing tendency of intake of energy (by 7%), protein (by 8%), fat (by 10%), calcium (by 12%) and riboflavin (by 11%) from before to after retirement. High-energy food items such as pastry and potato chips increased after retirement. Small changes in other items (not specified) seen after retirement. Average number daily meals decreased after retirement (from 5.2 to 4.8). | ||
| Medium | Davies | Mean daily fibre intake increased slightly after retirement (from 17.6±6.5 to 18.4±6.1 g/day), especially when breakfast was consumed. Percentage of participants below recommended levels of fibre did not change. Also, the main food groups contributing to dietary fibre intake (eg, vegetables, breads, breakfast cereals and fruits) remained unchanged. | ||
| Low | Lauque | Retirement increased the percentage of participants spending over 30 min to eat lunch (from 25.5% to 45.5%), and the frequency of eating out and having guests for meals. Men ate more plant protein after retirement. The distribution of nutrients did not change after retirement, staying near recommended daily allowance except low calcium intake which increased slightly (from 750.5±270 to 781±308 mg/day in women; and from 702±186 to 837.6±239.5 mg/day in men). |
↑, increase; ↓, decrease; ≅, no change.