Changes in leisure-time physical activity and sedentary behaviour at retirement: a prospective study in middle-aged French subjects
https://doi.org/10.1186/1479-5868-7-14
© Touvier et al; licensee BioMed Central Ltd. 2010
Received: 12 November 2009
Accepted: 4 February 2010
Published: 4 February 2010
Abstract
Background
Longitudinal studies on physical activity patterns around retirement age are scarce and provide divergent findings. Little is known about changes in sedentary behaviour in this context. Our aim was to investigate relationships between retirement and 3-year changes in leisure-time physical activity (LTPA) patterns and sedentary behaviour in middle-aged French adults.
Methods
Past-year LTPA and sedentary behaviour (watching television) were assessed in 1998 and 2001 using the Modifiable Activity Questionnaire on participants in the SU.VI.MAX (Supplementation with Antioxidants and Minerals) study. A total of 698 men and 691 women aged 45-64 were included in this analysis. Comparisons were made between subjects who had retired between 1998 and 2001 and those who continued to work, using the Chi-square test, Student t-test, Wilcoxon rank test or covariance analysis where appropriate.
Results
20.1% of men and 15.6% of women retired during follow-up. The baseline LTPA level was similar between subjects who retired during follow-up and those who continued to work. Mean LTPA increased by about 2 h/week in men and women who had retired, whereas no change was observed in employed persons. The positive change in LTPA following retirement was mainly related to an increase in activities of moderate intensity, such as walking. Retirement did not modify the ranking of the most frequently performed LTPAs, but the number of participants and the duration increased through retirement. In men, the increase in time spent watching TV was more than twice as high in retirees as in workers (+40.5 vs. +15.0 min/day, P < 0.0001). The same tendency was observed among women, but was borderline non-significant (+33.5 vs. +19.9 min/day, P = 0.05). In women, retirees who increased their walking duration by 2 h/week or more also decreased time spent watching TV by 11.5 min/day.
Conclusions
Retirement was associated with both an increase in LTPAs and in time spent watching TV, suggesting that retirement is an important period not only for promoting physical activity, but also for limiting sedentary behaviour.
Keywords
Background
Physical activity (PA) is recognised to be a major protective factor against the development of several chronic diseases associated with ageing, such as type 2 diabetes, cardiovascular disease, weight gain and some cancers, as well as cognitive decline [1–3]. In older people, PA may also help to decrease falls and disability, and improve independence [4–6]. In addition to PA, there is increasing interest in the relationships between sedentary behaviour and health outcomes [7, 8]. Sedentary behaviour refers to activities that do not substantially increase energy expenditure above the resting level; they include sleeping, sitting, lying down and watching television, along with other forms of screen-based entertainment [9]. Sedentary behaviour, typically assessed by time spent viewing television (TV), along with low PA levels, represent complementary aspects of human movement and are independent risk factors for major chronic diseases [2, 10].
Retirement is a major transition in the life course and concerns a growing segment of the population. The number of persons who reach retirement age is rapidly increasing in developed countries. According to the World Health Organisation, in the year 2000, 600 million people were aged 60 or above throughout the world; this figure will reach 1.2 billion by 2025 and 2 billion by 2050 [11]. Retired persons generally have more time for leisure activities, potentially including leisure-time physical activity (LTPA, including structured activities such as sports, and unstructured activities such as walking for pleasure). Retired individuals may also have more time to spend on sedentary occupations such as TV viewing. However, the manner in which retirement affects PA and sedentary behaviour is poorly understood.
Cross-sectional surveys from the US and Europe suggested that PA patterns change at retirement [12–15]; however, few longitudinal data exist which describe these changes in the same individuals [16–20]. Discrepancies exist in the findings of these studies; one study found no relationship between retirement and sports activities or non-sports LTPA [18], while others observed that retirement was associated with an increase in sports activities and exercise [17] or increased overall PA [19, 20]. Except for one study [17], detailed information on changes in specific leisure-time activities is lacking. Moreover, to our knowledge, only one study examined the effect of retirement on sedentary behaviour [17]; it concluded that retirement was associated with increased TV viewing. However, whether or not LTPA and sedentary behaviour changes are interrelated remains unknown.
The objective of the present study, which used a longitudinal design in a sample of middle-aged French adults, was to investigate the relationship between retirement and 3-year changes in LTPA and sedentary behaviour, as assessed by time spent watching TV.
Methods
Subjects
We used data from the "Supplémentation en VItamines Minéraux et AntioXydants" (SU.VI.MAX) study. The design, methods and rationale of this study have been described elsewhere [21]. The SU.VI.MAX study was initially designed as a randomised, double-blind placebo-controlled primary prevention trial to test the efficacy of daily supplementation with antioxidant vitamins and minerals at nutritional doses in reducing the incidence of ischaemic heart disease, cancers and overall mortality [22]. Volunteer subjects, not selected for specific risk factors, were included in 1994-1995 for a planned follow-up of 8 years (men: 45-60 y, women: 35-60 y). Each subject underwent a yearly visit consisting of alternate years of biological sampling or a clinical examination. This study was conducted according to guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the Ethical Committee for Studies with Human Subjects at Paris-Cochin Hospital (CCPPRB N°706) and the Commission Nationale Informatique et Liberté (CNIL N°334641). Written informed consent was obtained from all subjects.
Physical activity and sedentary behaviour
PA and sedentary behaviour were assessed using a French self-administered version of the Modifiable Activity Questionnaire (MAQ) [23] sent out in 1998 and 2001 to the entire cohort. The MAQ, developed by Kriska et al. [24], was the instrument used in the Diabetes Prevention Programme [25]. It assesses past-12-month PA during leisure time and at work. PA assessment using the MAQ has been validated against energy expenditure measurements using the double-labelled water technique, and the test-retest properties of the questionnaire have been shown [26]. The questionnaire has been described in detail elsewhere [23, 24, 26–28]. Briefly, subjects were asked to report all LTPAs performed at least 10 times for 10 min per session over the past 12 months. Detailed information was collected concerning the type of leisure activity (walking, cycling, swimming, jogging, gardening, etc.). The frequency and duration of each activity was reported. After multiplying the number of hours per week of each PA by its estimated metabolic cost (in MET [29]), an energy-expenditure indicator was obtained, expressed in MET-h per week. Leisure time activities were classified into three categories of intensity: low (<3 METs), moderate (3-6 METs) and vigorous (>6 METs). Assessment of occupational PA was based on the number of hours during which an individual participated in physically demanding activities during an average work day, for each job held over the past year. The number of hours in each of three categories of occupational PA (low, moderate, and vigorous) was multiplied by an average group MET value (2, 4 and 7 METs, respectively) and then summed up, resulting in a final occupational activity estimate expressed in MET-h/week. Subjects who declared only low-intensity occupational physical activities were considered to have a "less physically demanding" job, while others (who declared at least one moderate and/or vigorous occupational activity) were considered to have a "more physically demanding" job.
Subjects were considered to meet overall PA recommendations if their overall PA was ≥ 60 min per week of vigorous activities with at least 20 min per session or ≥ 150 min per week of moderate activities [3, 30, 31]. The questionnaire also assessed time spent per day watching TV (min/day) as an indicator of sedentary behaviour.
Sociodemographic characteristics
Employment status (currently working/retired) was assessed during the 1998 and 2001 follow-up visits. Gender, date of birth and education level were assessed at enrollment using a self-administered questionnaire. Level of education was coded into three categories according to highest certification obtained (primary school, high school, university or equivalent). The type of area of residence (urban area, periurban zone or rural municipality) was determined according to each subject's zip code in January 1998, according to the definition of the French National Institute of Statistics and Economics Studies [32], as previously described [27]. Current smoking status was assessed in September 1998 by a specific questionnaire sent to the entire cohort. Height, weight and waist circumference were measured during the 1998 and 2001 follow-up visits. BMI was calculated as body weight (in kilograms) divided by height squared (kg/m2). Obesity was defined by a BMI ≥30 kg/m2 [33].
Statistical analyses
Among the 13,017 subjects initially included in the SU.VI.MAX study, we focused the present analyses on subjects aged 45-64 years old (to have a similar age range in both genders) (7,450 subjects available), with available data from PA questionnaires both in 1998 and 2001 (2,881 remaining subjects), with available data on working status both in 1998 and 2001 and who were working in 1998 (1,389 remaining subjects for analysis, 698 men and 691 women). We verified that, in these subjects, none had been confined to bed for more than 1 month during the 12-month period covered by each PA questionnaire. Compared to those subjects not included and aged 45-64 years old (n = 6,061), our study population comprised more men (50.3 vs. 44.7%), more subjects with a university education level (49.7 vs. 35.7%), and fewer obese subjects (6.5 vs. 9.2%); they were also slightly younger (52.7 vs. 54.4 y) and had a lower waist circumference (82.2 vs. 83.2 cm) (P < 0.05).
For each subject, we evaluated the evolution between 1998 and 2001 of LTPA (duration in h/week and score in MET-h/week, overall and by category of LTPA intensity) and of time spent watching TV. Comparisons of baseline characteristics were performed between subjects who retired between 1998 and 2001 and those who continued to work using the Chi-square test, Student t-test or Wilcoxon rank test where appropriate. Three-year changes (1998-2001) in LTPA and time spent watching TV between the 2 groups of individuals were compared by covariance analysis, with adjustment for age, education level and baseline value of the corresponding variable. These comparisons were conducted overall and stratified according to adherence to PA recommendations and the physical demands of work (the extent of physical effort required, i.e., more demanding or less demanding) in 1998. We also established a ranking of the most frequently performed LTPAs in 1998 and 2001 among subjects who retired during follow-up, in order to analyse potential gender-specific or retirement-related patterns. Finally, we assessed changes in TV viewing among retirees according to the evolution of time spent walking between 1998 and 2001. Analyses were stratified on gender. For all analyses, the significance level was two-sided and set at 0.05. All statistical analyses were performed using SAS software (version 9.1, SAS Institute Inc, Cary, NC, USA).
Results
Baseline characteristics of the study population
Sociodemographic and anthropometric characteristics at baseline in 1998, according to working status in 2001
Men | Women | |||||
|---|---|---|---|---|---|---|
Working (n = 558) | Retired (n = 140) | P | Working (n = 583) | Retired (n = 108) | P | |
Age (years)1 | 52.3 ± 3.0 | 57.1 ± 3.2 | < 0.0001 | 51.2 ± 3.1 | 56.3 ± 3.7 | < 0.0001 |
Education level | 0.03 | 0.8 | ||||
Primary school | 15.7% | 19.3% | 11.8% | 12.5% | ||
High school | 29.6% | 38.6% | 40.5% | 43.3% | ||
University or equivalent | 54.7% | 42.1% | 47.7% | 44.2% | ||
Type of resident location | 0.6 | 0.9 | ||||
Urban pole | 65.0% | 69.3% | 64.5% | 66.7% | ||
Periurban zone | 17.4% | 15.0% | 18.3% | 17.6% | ||
Rural municipality | 17.6% | 15.7% | 17.2% | 15.7% | ||
Current smokers | 14.5% | 11.4% | 0.3 | 11.5% | 7.4% | 0.2 |
BMI (kg/m2)1 | 25.2 ± 3.2 | 25.4 ± 3.2 | 0.5 | 23.3 ± 3.8 | 23.8 ± 3.0 | 0.2 |
≥ 30 kg/m2 | 7.2% | 7.2% | 1.0 | 5.8% | 5.3% | 0.8 |
Waist circumference (cm) 1 | 89.2 ± 9.3 | 90.1 ± 10.0 | 0.4 | 74.8 ± 9.1 | 76.7 ± 8.7 | 0.06 |
Baseline and 3-year changes in leisure-time physical activities (LTPAs) and time spent watching TV according to working status in 2001
Men | Women | |||||
|---|---|---|---|---|---|---|
Working (n = 558) | Retired (n = 140) | P | Working (n = 583) | Retired (n = 108) | P | |
Baseline1 | ||||||
LTPA | ||||||
Duration (h/week) | 3.7 ± 3.9 | 3.9 ± 3.7 | 0.4 | 3.4 ± 3.6 | 3.9 ± 4.1 | 0.4 |
Score (MET-h/week) | 19.0 ± 20.2 | 19.1 ± 19.8 | 0.8 | 15.4 ± 17.0 | 17.4 ± 18.8 | 0.6 |
Occupational PA | ||||||
Duration (h/week) | 19.1 ± 12.0 | 18.5 ± 13.0 | 0.4 | 18.4 ± 13.2 | 15.9 ± 12.8 | 0.05 |
Score (MET-h/week) | 59.9 ± 64.2 | 59.2 ± 72.8 | 0.4 | 50.5 ± 50.9 | 43.6 ± 49.9 | 0.04 |
Time spent watching TV | ||||||
Duration (min/day) | 98.7 ± 58.1 | 110.0 ± 56.8 | 0.02 | 99.2 ± 57.8 | 109.2 ± 59.3 | 0.1 |
Changes2 between 1998 and 2001 | ||||||
Δ LTPA | ||||||
Duration (h/week) | -0.1 ± 0.2 | 2.1 ± 0.4 | < 0.0001 | -0.4 ± 0.1 | 1.8 ± 0.4 | < 0.0001 |
Score (MET-h/week) | -0.5 ± 0.9 | 8.1 ± 1.9 | 0.0001 | -1.9 ± 0.6 | 6.8 ± 1.6 | < 0.0001 |
Δ LTPA by intensity (h/week) | ||||||
Low intensity (<3 METs) | -0.0 ± 0.0 | 0.1 ± 0.0 | 0.06 | -0.0 ± 0.0 | 0.2 ± 0.1 | 0.005 |
Moderate intensity | 0.0 ± 0.2 | 2.0 ± 0.4 | < 0.0001 | -0.3 ± 0.1 | 1.6 ± 0.3 | < 0.0001 |
Vigorous intensity (>6 METs) | -0.1 ± 0.1 | 0.0 ± 0.2 | 0.4 | -0.1 ± 0.0 | 0.1 ± 0.1 | 0.1 |
Δ Leisure-time walking duration (h/week) | -0.1 ± 0.1 | 0.8 ± 0.1 | < 0.0001 | -0.2 ± 0.1 | 1.2 ± 0.2 | < 0.0001 |
Δ Time spent watching TV (min/day) | 15.0 ± 2.3 | 40.5 ± 5.0 | < 0.0001 | 19.9 ± 2.5 | 33.5 ± 6.3 | 0.05 |
Δ BMI (kg/m2) | 0.4 ± 0.1 | 0.4 ± 0.1 | 1.0 | 0.6 ± 0.1 | 0.6 ± 0.2 | 0.9 |
Δ Waist circumference (cm) | 1.1 ± 0.3 | 1.6 ± 0.6 | 0.4 | 1.9 ± 0.3 | 3.3 ± 0.8 | 0.1 |
Influence of retirement on leisure-time physical activity and sedentary behaviour
After adjustment for baseline LTPA level, age and education level, mean LTPA increased by about 2 h/week between 1998 and 2001 in men and women who had retired, whereas no change was observed in those who continued to work (Table 2). In both genders, retirement was associated with an increase in LTPA whether or not subjects initially attained recommended PA levels (P < 0.0001 and P = 0.01, respectively, data not tabulated). The increase of LTPA after retirement was also observed whether subjects had a more or a less physically demanding job at baseline, before retirement (P < 0.001 and P < 0.0001, respectively, data not tabulated). In both genders, the increase in LTPA at retirement was mainly explained by an increase in activities of moderate intensity, including leisure-time walking (Table 2).
Ranking of the five most frequently performed leisure-time physical activities in 1998 and in 2001 among subjects who retired during follow-up
Men (n = 140) | Women (n = 108) | ||||
|---|---|---|---|---|---|
Activity | % of participants | Mean duration (h/week) among participants ± std | Activity | % of participants | Mean duration (h/week) among participants ± std |
1998 | 1998 | ||||
Walking | 60.0 | 1.3 ± 1.1 | Walking | 67.6 | 1.7 ± 1.7 |
Gardening | 51.4 | 2.6 ± 2.8 | Gardening | 48.1 | 2.2 ± 2.4 |
Cycling | 22.1 | 1.6 ± 1.5 | Gymnastics | 27.8 | 1.0 ± 0.6 |
Swimming | 19.3 | 0.4 ± 0.3 | Swimming | 26.9 | 0.5 ± 0.5 |
Jogging/running | 15.7 | 1.9 ± 2.4 | Hiking | 14.8 | 2.4 ± 1.4 |
2001 | 2001 | ||||
Walking | 70.7 | 2.4 ± 2.5 | Walking | 72.2 | 2.8 ± 4.7 |
Gardening | 52.9 | 4.0 ± 4.6 | Gardening | 49.1 | 2.5 ± 2.6 |
Cycling | 21.4 | 2.0 ± 2.1 | Gymnastics | 29.6 | 1.3 ± 1.0 |
Swimming | 17.1 | 0.9 ± 1.5 | Swimming | 25.9 | 0.5 ± 0.3 |
Jogging/running | 14.3 | 1.2 ± 1.0 | Hiking | 13.9 | 2.0 ± 1.4 |
Among retirees, after adjustment for age, education level and score at baseline, the overall PA score (i.e. occupational PA + LTPA in 1998 and LTPA in 2001; occupational PA being null after retirement by definition) decreased by 50.7 MET-h/week (SE = 2.3) in men and 41.8 MET-h/week (SE = 1.9) in women between 1998 and 2001, with no statistically significant difference across physical demands at work in 1998 (P = 0.4 in men and P = 0.6 in women, data not tabulated).
Three-year changes in time spent watching TV (min/day) according to initial physical demands at work 1 . 1Adjusted for age, education level and baseline time spent watching TV.
Three-year changes in time spent watching TV (min/day) among subjects who retired during follow-up, according to evolution of time spent walking between 1998 and 2001 1 . 1Adjusted for age, education level and baseline time spent watching TV.
Discussion
Our study assessed the influence of retirement on LTPA and sedentary behaviour in French subjects. In both genders, retirement was associated with an increase in LTPA, especially with increased duration of moderate LTPA and walking. Retirement did not modify the ranking of the most frequently performed LTPAs, but the number of participants and the duration increased at retirement. In subjects who retired from less physically demanding jobs, retirement was associated with an increase in time spent watching TV. In women retirees, a high increase in time spent walking was associated with a decrease in TV viewing.
In our study, the retirement-related increase in LTPA was substantial, as it represented about 2 h/week in both genders. This increase in LTPA is consistent with previous findings [17, 19, 20]. However, unlike previous studies that showed modifications only in population subgroups [16], we observed a positive impact of retirement on LTPA whether or not subjects initially met recommended PA levels and whatever the physical demands at work prior to retirement. An increase in LTPA of 2 h/week on average may be substantial in terms of potential health-related benefits. A recent trial examined in inactive overweight women the effect of exercising at 50%, 100%, and 150% of the currently recommended physical activity dose (150 min/week of moderate-intensity physical activity [1, 2]) on cardiorespiratory fitness [34]. Subjects experienced a graded dose-response change in fitness across levels of exercise training, with statistically significant improvement observed even for the lowest intervention level [34]. Increases in cardiorespiratory fitness are associated with decreased mortality risk [1, 2].
There are several potential explanations for an increase in LTPA with retirement, including reduced time-related barriers, long-term perspective on health, concern about health and independence and changes in social networks, support systems and daily routines [17, 35]. However, in our study, the increase in LTPA associated with retirement did not compensate for the loss of occupational PA.
The effect of retirement assessed in our study may be a short-term effect, corresponding to what happened 1-to-3 years after retirement. Caution should be used when extrapolating these findings to the entire post-retirement period. Indeed, cross-sectional data suggested that at retirement, there existed a tendency in improving physical activity patterns, but this positive effect decreased with time after retirement, to disapeare during the final period of life [15]. In the GLOBE study [18], including a 13-year interval between baseline and final PA measures, no significant relationship was observed between retirement and LTPA. One can hypothesize that there may have been an increase in LTPA in the first years following retirement, but this increase was no longer visible 10-13 years after retirement.
Our study offered the opportunity of investigating in detail specific LTPAs performed in each gender and potential modifications of such LTPA patterns during retirement. One major finding was that retirement quantitatively modified the LTPA pattern (an increase in the number of participants and in the duration), but not qualitatively (there was no change in gender-specific ranking of the most frequent LTPAs). In our study, walking was the most frequently performed LTPA and was the main contributor to the retirement-related LTPA increase. In the ARIC study, walking was the most frequently cited activity by subjects who adopted a LTPA or a sports activity at retirement [17]. Walking is easily performed, requires no specific equipment, does not incur any substantial cost and is the basis for public health recommendations concerning PA [2].
In our study, the increase in LTPA associated with retirement occurred concurrently with an increase in time spent watching TV. Changes in time spent watching TV had been assessed in only one previous study on retirement, in which an increase was observed, in agreement with our results [17]. The relationship between PA and sedentary behaviour is complex; it has been pointed out that 'sedentary' is not simply the opposite of 'active' [9, 10, 36]. Several studies have reported that sedentary behaviour and PA are related to risk of major chronic disease independently of one another [27, 37–39]. Some of our findings contrast with this notion of independence of PA and sedentary behaviour. Indeed, we found that subjects who had held a less physically demanding profession were more inclined to adopt sedentary behaviour during their leisure time once retired, independently of age or education level. This suggests that this group should be targeted for measures aimed at limiting increases in sedentary behaviour at retirement. Moreover, overall, the retirement related 2 h/week increase in LTPA did not compensate for the 30-40 min/day increase in TV viewing. However, in stratified analyses, only women who declared the highest increase in walking duration after retirement simultaneously decreased TV viewing. This suggests that certain groups of population exist for whom the benefit of retirement is enhanced, since these subjects compensate for the decrease in sedentary occupations by increasing their LTPAs.
In contrast to our highly-detailed PA questionnaire, our proxy for sedentary behaviour was limited to time spent watching TV, which may have led to an underestimation of time devoted to sedentary occupations. To better assess attributes of a sedentary lifestyle, an evaluation of time spent sitting down while traveling and at work, along with other screen-based sedentary occupations such as computer use during leisure time, would be of interest. Indeed, sedentary lifestyle represents a complex set of behaviours which may each have separate effects on health outcome [28, 40] and may be modified differentially by retirement. It should be noted, however, that in women, TV viewing has been suggested as a robust marker of overall sedentary lifestyle [41].
Several limitations to our study should be pointed out. First, despite a mean retirement age in our population (57-60 y) consistent with retirement age in France in the early 2000's (55 y for some professions such as teachers, and 60 years for the majority of other professions, mean age: 58.1 y [42]), our subjects were volunteers participating in a nutritional intervention study [22] who generally had a higher education level and occupational status, along with a healthier lifestyle than the general population [21]. Thus, our study sample cannot be considered as nationally representative of individuals aged 45-64, and caution is needed when extrapolating these findings to the national level. Our analyses focused on a part of the SU.VI.MAX cohort; however, sociodemographic differences observed between those subjects who were and those who were not included in the analyses were unlikely to have caused additional bias in the studied associations. Second, measurements of LTPA and TV viewing were derived from self-reporting, which may be a source of potential misclassification bias (especially due to over-reporting of PA [43]). However, there is no reason to expect that misclassification would differ according to retirement status. Third, our study did not explore the reasons for retirement, which may have differential effects on PA and other types of health behaviour. A possible selection bias could have occurred if participants in poor health had retired earlier for that reason, and if poor health rather than retirement per se negatively influenced PA. However, in our study, this type of bias would not explain the observed increase in LTPA and would have minimised the true effect. Moreover, a previous study showed that tobacco use and alcohol intake, but not PA, were differentially affected by voluntary or involuntary retirement [19]. Validity of using the MAQ in older subjects and in a longitudinal design may be discussed. For reliability, in the first description of the MAQ by Kriska et al. [24], 1-3 week test-retest correlations for past-year LTPA were found of about the same magnitude in the older compared to the younger adult subjects (37-59 y, rho = 0.88 and 21-36 y, rho = 0.92, respectively). For validity (i.e. comparison against a gold standard method), we are not aware of study data that have assessed the performance of the MAQ according to age groups. Regarding the appropriateness of using the MAQ in a longitudinal design, repeated use of this questionnaire allowed to detect annual evolution of PA during follow-up (median: 2.8 y) in the Diabetes Prevention Program [25]. In a subsample of DPP participants (n = 274, 50.6 ± 11.3 y), LTPA (MET-h/week) measured by the MAQ was correlated with self-reported minutes of physical activity at both 1 year (r = 0.41, P < 0.0001) and 2 years (r = 0.51, P < 0.0001) [44].
One of the strengths of our study lay in its prospective design and the use of a detailed PA questionnaire, which specified the types of LTPA performed during the preceding year and the duration of each reported activity. In addition, to our knowledge, only one previous study analysed the influence of retirement on both PA and sedentary behaviour [17]. Our data enabled adjustment for confounding factors and considered individual heterogeneity by stratified analyses. Moreover, in previous studies [12, 17, 18], definitions of work and retirement were not mutually exclusive, since some subjects were considered as retired, but were still working part-time or full-time, and retirement status was reversible. In our study, the definition of retirement was less ambiguous: we considered retired persons to be subjects who had definitively stopped all professional activity. Indeed, in France, in 1998-2001, people were considered "retired" and started to receive their retirement allocations only when they stopped any professional activity. Thus, a new profession would not have been allowed. As for potential volunteer implication in associations or charities, corresponding physical activity was counted as LTPA.
Conclusions
Our study provides important information about retirement-related changes in physical activity and sedentary behaviour. Few data exist on this topic, despite the increasing number of ageing individuals concerned [11] and the major health consequences related to insufficient physical activity and excessive sedentary behaviour [1–3]. Our results suggest that retirement is a key period of change in PA and sedentary behaviour. The substantial 2 h/week increase in LTPA through retirement observed in our study did not compensate for loss of occupational PA. This emphasises the need to reinforce public health measures aimed at increasing regular PA and decreasing sedentary behaviour during the critical retirement period, as well as during other lifetime transition periods.
Declarations
Acknowledgements
We thank all scientists who helped to carry out the SU.VI.MAX study, the teams that assisted in fieldwork and participants in this cohort. We are grateful to Jerri Bram for revising the manuscript.
This work was supported by the Institut National de la Santé et de la Recherche Médicale (Inserm), the Conservatoire National des Arts et Métiers (CNAM) and Paris 13 University.
Authors’ Affiliations
References
- Physical activity and health: a report of the surgeon general. 1996, Washington, DC: US Dept of Health and Human ServicesGoogle Scholar
- Physical Activity Guidelines Advisory Committee: Physical Activity Guidelines Advisory Committee Report. 2008, Washington, DC: US Dept of Health and Human ServicesGoogle Scholar
- Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A: Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation. 2007, 116: 1081-1093. 10.1161/CIRCULATIONAHA.107.185649.View ArticleGoogle Scholar
- Haight T, Tager I, Sternfeld B, Satariano W, van der LM: Effects of body composition and leisure-time physical activity on transitions in physical functioning in the elderly. Am J Epidemiol. 2005, 162: 607-617. 10.1093/aje/kwi254.View ArticleGoogle Scholar
- Mensink GB, Ziese T, Kok FJ: Benefits of leisure-time physical activity on the cardiovascular risk profile at older age. Int J Epidemiol. 1999, 28: 659-666. 10.1093/ije/28.4.659.View ArticleGoogle Scholar
- Young A, Dinan S: Activity in later life. BMJ. 2005, 330: 189-191. 10.1136/bmj.330.7484.189.View ArticleGoogle Scholar
- Dietz WH: The role of lifestyle in health: the epidemiology and consequences of inactivity. Proc Nutr Soc. 1996, 55: 829-840. 10.1079/PNS19960082.View ArticleGoogle Scholar
- Tudor-Locke CE, Myers AM: Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med. 2001, 31: 91-100. 10.2165/00007256-200131020-00002.View ArticleGoogle Scholar
- Pate RR, O'Neill JR, Lobelo F: The evolving definition of "sedentary". Exerc Sport Sci Rev. 2008, 36: 173-178. 10.1097/JES.0b013e3181877d1a.View ArticleGoogle Scholar
- Biddle SJ: Sedentary behavior. Am J Prev Med. 2007, 33: 502-504. 10.1016/j.amepre.2007.08.002.View ArticleGoogle Scholar
- World Health Organization: Health topics - Ageing and life course. [http://www.who.int/ageing/en]
- Mein GK, Shipley MJ, Hillsdon M, Ellison GT, Marmot MG: Work, retirement and physical activity: cross-sectional analyses from the Whitehall II study. Eur J Public Health. 2005, 15: 317-322. 10.1093/eurpub/cki087.View ArticleGoogle Scholar
- Caspersen CJ, Merritt RK: Physical activity trends among 26 states, 1986-1990. Med Sci Sports Exerc. 1995, 27: 713-720.View ArticleGoogle Scholar
- Strath SJ, Schwartz AM, Cashin SE: Ambulatory physical activity profiles of older adults. J Aging Phys Act. 2009, 17: 46-56.Google Scholar
- Caspersen CJ, Pereira MA, Curran KM: Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc. 2000, 32: 1601-1609. 10.1097/00005768-200009000-00013.View ArticleGoogle Scholar
- Chung S, Domino ME, Stearns SC, Popkin BM: Retirement and physical activity: analyses by occupation and wealth. Am J Prev Med. 2009, 36: 422-428. 10.1016/j.amepre.2009.01.026.View ArticleGoogle Scholar
- Evenson KR, Rosamond WD, Cai J, Diez-Roux AV, Brancati FL: Influence of retirement on leisure-time physical activity: the atherosclerosis risk in communities study. Am J Epidemiol. 2002, 155: 692-699. 10.1093/aje/155.8.692.View ArticleGoogle Scholar
- Slingerland AS, van Lenthe FJ, Jukema JW, Kamphuis CB, Looman C, Giskes K, Huisman M, Narayan KM, Mackenbach JP, Brug J: Aging, retirement, and changes in physical activity: prospective cohort findings from the GLOBE study. Am J Epidemiol. 2007, 165: 1356-1363. 10.1093/aje/kwm053.View ArticleGoogle Scholar
- Henkens K, van Solinge H, Gallo WT: Effects of retirement voluntariness on changes in smoking, drinking and physical activity among Dutch older workers. Eur J Public Health. 2008, 18: 644-649. 10.1093/eurpub/ckn095.View ArticleGoogle Scholar
- Brown WJ, Heesch KC, Miller YD: Life events and changing physical activity patterns in women at different life stages. Ann Behav Med. 2009, 37: 294-305. 10.1007/s12160-009-9099-2.View ArticleGoogle Scholar
- Hercberg S, Preziosi P, Briancon S, Galan P, Triol I, Malvy D, Roussel AM, Favier A: A primary prevention trial using nutritional doses of antioxidant vitamins and minerals in cardiovascular diseases and cancers in a general population: the SU.VI.MAX study--design, methods, and participant characteristics. SUpplementation en VItamines et Mineraux AntioXydants. Control Clin Trials. 1998, 19: 336-351. 10.1016/S0197-2456(98)00015-4.View ArticleGoogle Scholar
- Hercberg S, Galan P, Preziosi P, Bertrais S, Mennen L, Malvy D, Roussel AM, Favier A, Briancon S: The SU.VI.MAX study: a randomized, placebo-controlled trial of the health effects of antioxidant vitamins and minerals. Arch Intern Med. 2004, 164: 2335-2342. 10.1001/archinte.164.21.2335.View ArticleGoogle Scholar
- Vuillemin A, Oppert JM, Guillemin F, Essermeant L, Fontvieille AM, Galan P, Kriska AM, Hercberg S: Self-administered questionnaire compared with interview to assess past-year physical activity. Med Sci Sports Exerc. 2000, 32: 1119-1124. 10.1097/00005768-200006000-00013.View ArticleGoogle Scholar
- Kriska AM, Knowler WC, LaPorte RE, Drash AL, Wing RR, Blair SN, Bennett PH, Kuller LH: Development of questionnaire to examine relationship of physical activity and diabetes in Pima Indians. Diabetes Care. 1990, 13: 401-411. 10.2337/diacare.13.4.401.View ArticleGoogle Scholar
- Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002, 346: 393-403. 10.1056/NEJMoa012512.View ArticleGoogle Scholar
- Pereira MA, FitzerGerald SJ, Gregg EW, Joswiak ML, Ryan WJ, Suminski RR, Utter AC, Zmuda JM: A collection of Physical Activity Questionnaires for health-related research. Med Sci Sports Exerc. 1997, 29: S1-205.View ArticleGoogle Scholar
- Bertrais S, Preziosi P, Mennen L, Galan P, Hercberg S, Oppert JM: Sociodemographic and geographic correlates of meeting current recommendations for physical activity in middle-aged French adults: the Supplementation en Vitamines et Mineraux Antioxydants (SUVIMAX) Study. Am J Public Health. 2004, 94: 1560-1566. 10.2105/AJPH.94.9.1560.View ArticleGoogle Scholar
- Bertrais S, Beyeme-Ondoua JP, Czernichow S, Galan P, Hercberg S, Oppert JM: Sedentary behaviors, physical activity, and metabolic syndrome in middle-aged French subjects. Obes Res. 2005, 13: 936-944. 10.1038/oby.2005.108.View ArticleGoogle Scholar
- Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, Jacobs DR, Leon AS: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000, 32: S498-S504. 10.1097/00005768-200009001-00009.View ArticleGoogle Scholar
- American College of Sports Medicine position stand: The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness in healthy adults. Med Sci Sports Exerc. 1990, 22: 265-274.Google Scholar
- Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, Buchner D, Ettinger W, Heath GW, King AC: Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA. 1995, 273: 402-407. 10.1001/jama.273.5.402.View ArticleGoogle Scholar
- Le Jeannic T, Vidalenc J: Pôles urbains et périurbanisation - le zonage en aires urbaines [Urban and peri-urban zoning]. 1997, Paris: INSEE PremièreGoogle Scholar
- World Health Organization: Obesity:preventing and managing the global epidemic. WHO Technical Report Series. 2000, Geneva: WHOGoogle Scholar
- Church TS, Earnest CP, Skinner JS, Blair SN: Effects of different doses of physical activity on cardiorespiratory fitness among sedentary, overweight or obese postmenopausal women with elevated blood pressure: a randomized controlled trial. JAMA. 2007, 297: 2081-2091. 10.1001/jama.297.19.2081.View ArticleGoogle Scholar
- King AC: Community intervention for promotion of physical activity and fitness. Exerc Sport Sci Rev. 1991, 19: 211-259. 10.1249/00003677-199101000-00006.Google Scholar
- Sugiyama T, Healy GN, Dunstan DW, Salmon J, Owen N: Joint associations of multiple leisure-time sedentary behaviours and physical activity with obesity in Australian adults. Int J Behav Nutr Phys Act. 2008, 5: 35-10.1186/1479-5868-5-35.View ArticleGoogle Scholar
- Hu FB, Li TY, Colditz GA, Willett WC, Manson JE: Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003, 289: 1785-1791. 10.1001/jama.289.14.1785.View ArticleGoogle Scholar
- Pettee KK, Ham SA, Macera CA, Ainsworth BE: The reliability of a survey question on television viewing and associations with health risk factors in US adults. Obesity (Silver Spring). 2009, 17: 487-493. 10.1038/oby.2008.554.View ArticleGoogle Scholar
- Salmon J, Bauman A, Crawford D, Timperio A, Owen N: The association between television viewing and overweight among Australian adults participating in varying levels of leisure-time physical activity. Int J Obes Relat Metab Disord. 2000, 24: 600-606. 10.1038/sj.ijo.0801203.View ArticleGoogle Scholar
- Oppert JM, Kettaneh a, Borys jm, Basdevant A, Ducimetiere P, Charles MA: The relationships between indicators of physical activity, indicators of sedentary behaviour and adiposity in French adults: the FLVS II study. J Public Health. 2006, 14: 87-93. 10.1007/s10389-006-0020-1.View ArticleGoogle Scholar
- Sugiyama T, Healy GN, Dunstan DW, Salmon J, Owen N: Is television viewing time a marker of a broader pattern of sedentary behavior?. Ann Behav Med. 2008, 35: 245-250. 10.1007/s12160-008-9017-z.View ArticleGoogle Scholar
- Average exit age from the labour force - Eurostat data. [http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tsiem030]
- Shephard RJ: Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003, 37: 197-206. 10.1136/bjsm.37.3.197.View ArticleGoogle Scholar
- Delahanty LM, Conroy MB, Nathan DM: Psychological predictors of physical activity in the diabetes prevention program. J Am Diet Assoc. 2006, 106: 698-705. 10.1016/j.jada.2006.02.011.View ArticleGoogle Scholar
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