Tài liệu Time trends in leisure time physical activity and physical fitness in elderly people: 20 year followup of the Spanish population national health survey (1987-2006) docx

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RESEARCH ARTICLE Open Access
Time trends in leisure time physical activity and
physical fitness in elderly people: 20 year follow-
up of the Spanish population national health
survey (1987-2006)
Domingo Palacios-Ceña
1,3*
, Cristina Alonso-Blanco
1
, Rodrigo Jiménez-Garcia
2
, Valentin Hernández-Barrera
2
,
Pilar Carrasco-Garrido
2
, Elena Pileño-Martinez
1
and Cesar Fernández-de-las-Peñas
4
Abstract
Background: To estimate trends in leisure time physical activity and physical fitness between 1987-2006 in older
Spanish people.
Methods: We analyzed data collected from the Spanish National Health Surveys conducted in 1987 (n = 29,647),
1993 (n = 20,707), 1995-1997 (n = 12,800), 2001 (n = 21,058), 2003 (n = 21,650), and 2006 (n = 29,478). The number
of subjects aged ≥ 65 years included in the current study was 29,263 (1987: n = 4,958-16.7%; 1993: n = 3,751-
17.8%; 1995-97: n = 2,229-17.4%; 2001: n = 4,356-20.7%; 2003: 6,134-28.3%; 2006: 7,835-26.5%). Main variables
included leisure-time physical activity and physical fitness. We analyzed socio-demographic characteristics, self-rated
health status, lifestyle habit and co-morbid conditions using multivariate logistic regression models.
Results: Women exhibited lower prevalence of leisure time physical activity and physical fitness compared to men
(P < 0.05). The multivariate analysis for time trends found that practising leisure time physical activity increased
from 1987 to 2006 (P < 0.001). Variables associated with a lower likelihood of practicing leisure time physical
activity were: age ≥ 80 years old, ≥ 2 co-morbid chronic conditions, and obesity. Variables associated with lower
physical fitness included: age ≥ 80 years, worse self rated health; ≥ 2 medications (only for walking), and obesity.
Conclusions: We found an increase in leisure time physical activity in the older Spanish population. Older age,
married status, co-morbid conditions, obesity, and worse self-perceived health status were associated with lower
activity. Identification of these factors can help to identify individuals at risk for physical inactivity.
Background
In recent years, there has been an increase of aging in
the society [1]. The aging of the population can lead to
an increase in the number of individuals at risk f or
chronic diseases [2]. In an article from the Center for
Disease Control and Prevention’sHealthyAgingNet-
work, physical activity (PA) was considered one key ele-
ment for determining health status [3]. Recent
guidelines include PA recommendations for older peo-
ple [4] because regular PA can provide health benefits,
even when it is initiated later in life [5]. In fact, evidence
suggests that PA is associated with more years of life,
self-perceived healthy life, years without impairment in
daily live activities [6], lower rates of functional decline
[7], lower risk of mortality [8,9], increased longevity
[6,10], reduced risk of type 2 diabetes [11], and better
quality of life [12].
Physical activity is defined as any bodily movement
produced by skeletal muscles that result in energy
expenditure [13]. Nevertheless, physical activity is a
broad term that encompasses both leisure-time activity
(sports, exercise) [13] and activities of daily life [13,14].
Leisure time physical activity (LTPA) refers to condi-
tioning exercise or sports not related to regular work
activities [13,15]. Walking is the most common form of
* Correspondence: domingo.palacios@urjc.es
1
Department of Health Science II, Universidad Rey Juan Carlos, Madrid, Spain
Full list of author information is available at the end of the article
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© 2011 Palacios-Ceña et al; lic ensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creativ e
Commons Attr ibution License (http://creativecommons. org/licenses/by/2.0), which permits unrestricted use, distribution, and
reproduction in any medium, provided the original work is properly cited.
physical activity and is recommended for all ages
[16-18]. Physical fitness is de fined as a set of attributes
that people have or achieve that relates to the ability to
perform physical activity [13]. In fact, different studies
have used walking and walking up-stairs to evaluate
physical fitness of older people [19,20]. However, PA
research has mainly focused on middle-aged and the
elderly combined [17,21-28]. In fact, few studies have
investigated PA only in older people [14,16,29-33].
Studies conducted in the USA [28], Australia [21],
England [27] and Scotland [22] had reported a trend
towards an increased PA in individuals older than 60
years of age. In fact, the increase in PA has been found
to be higher in people older t han 65 years than in mid-
dle-aged population [17,25,33]. Nevertheless, some
authors have suggested the opposite, that older people
report lo wer PA [21,23,26]. In line with this hypothesis,
the Center for Disease Control [24] reported that the
prevalence of LTPA declined from 29.8% in 1994 to
23.7% in 2007 in the United States.
In Spain, more than 40% of older adults are sedentary
[34-37]. Although the percentage of people who practice
LTPA has increased [36], more information is needed to
understand facto rs that facili tate or inhibi t older people
tendency to engage in LTPA. Previous studies con-
ducted in older adults have reported that important
variables for PA include those potentially handled from
public health and social-educational policies: gender
[16,29,33], age [16,22,29], educational level [14,32,33],
monetary income [14,17,32], marital status [29], co-mor-
bid diseases [16,17,29], alcohol consumption [16,17],
smoking [17,29], self-perceive health [30,33], and obesity
[14,22,31].
No previous study has examined the time trends of
physical activity in the last 20 years in older Spanish
people. Therefore, the current study examines time
trends in prevalence of PA for adults a ged 65 and over
using Spanish National Health Surveys (SNHS) con-
ducted in th e period 1987-2006. The objectives of this
studywere:1)todescribetheprevalenceofLTPAand
physical fitness among the Spanish elderly population in
the period 1987-2006; 2) to determine socio-demo-
graphic features, self-perceived hea lth status, co-morbid-
ity, and lifestyle-related habits associate d with LTPA
and physical fitness in older people; and, 3) to analyze
time trends in prevalence of LTPA and physical fitness
in the period 1987-2006 in Spanish older people.
Methods
Ethical aspects
As this analysis w as conducted on a de-identified, pub-
lic-use dataset it was not necessary to have the approval
of an ethics committee according to Spanish legislation.
The Spanish National Health Surveys (SNHS)
We conducted a cross-sectional study using individua-
lized data obtained from the SNHS done in 1987, 1993,
1995, 1997, 2001, 2003, and 2006. The SNHS is an
ongoing, home-based personal interview examining a
national representative sample of non-institutionalized
population residing in main family dwellings (house-
holds) of Spain and is mainly performed by the Minist ry
of Health and Consumer Affairs and the National Statis-
tics Institute (Instituto Nacional Estadística-INE). The
SNHS uses a multistage cluster sampling, with propor-
tional random selection of primary and secondary sam-
pling units (towns and sections, respectively), with the
final units (individuals) being selected by means of ran-
dom routes and sex- and age-based quotas.
Surveyors were previously trained about basic commu-
nication skills, procedures and the used questionnaire.
Informed consent was signed by all participants before
they answered the survey. In order to meet the surveys’
stated aim of being able to furnish estimates with a cer-
tain degree of reliability at both national and regional
levels the following samples of adult aged 15 years and
older were selected in the SNHS: 29,647 in 1987; 20,707
in 1993; 21 ,058 in 2001 ; 21,650 i n 2003; and 29,478 in
2006. Surveys conducted in 1995 and 1997 were based
on smaller sample sizes (N = 6,400), therefore these two
databases wer e joined and analyzed together. The num-
ber of subjects aged ≥ 65 years included in the study
along the entire period was 29,263 (1987: n = 4,958-
16.7%; 1993: n = 3,751-17.8%; 1995-97: n = 2,229-17.4%;
2001: n = 4,356-20.7%; 2003: 6,134-28.3%; 2006: 7,835-
26.5%). More details about the SNHS methodology are
described elsewhere [38,39].
For the purpose of the current study, we included
answers from adults aged 65 years and older from these
7 SNHS. The variables included in the current study
were created on the basis of several questions included
in the questionnaires and identical in all surveys. The
dependent variables were: 1, LTPA, which was collected
using the following questio n: “Do you practice any phy-
sical activity during your leisure time?”, with 2 possible
answers: “none” or “once a month or more”, and 2, phy-
sical daily fitness, which was assessed with 2 questions:
“ Can you walk up 10 steps wi thout help?” and, “ Can
you keep walking for one hour without rest?.” The
answer to both questions could be “yes” or “no”.These
last two questions were first collected within the 1993
survey.
We also analyzed socio-demographic characteristics
such as age (65 to 79 years, 80 y ears and older), marital
status (married o r living as a couple, unmarried/widow/
divorced), and educational level (no study, primary edu-
cation completed, secondary education, or more).
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Self-perceived health status was assessed with the fol-
lowing question: “ How did you self-perceive your health
status over the previous 12 months?” Subject s descri bed
their health status as very good, good, fair, poor, very
poor. The answer was dichotomized into very good/
good or fair/poor/very poor self-perceived health status.
We also collected the number of medical doctor diag-
noses of co-morbid chronic conditions (high blood pres-
sure, diabete s, chronic heart disease, chroni c bronchitis,
emphysema, or asthma) as follows: none, one, two, or
more. The number of prescribed medications for any of
these chronic conditions was also categorized as none,
one, two or more. Body mass index (BMI) was calcu-
lated from self-repor ted body weight and height. Indivi-
duals with a BMI ≥ 30 were classified as obese, those
with BMI between 25 and 29.9 were classified as over-
weight and those with BMI < 25 were considered to
have normal weight. Individuals with BMI < 18.5 or
incomplete data on height and weight were excluded for
the analysis.
Regarding lifestyle habits, smoking habits differen-
tiated between current smokers, non-smokers or ex-
smokers . Finally, sleep habits were divided into subjects
sleeping > 8 hours per day and those sleeping < 8 hours
per day.
Statistical analysis
In this study we analyzed physical activity and physical
fitness separately for men and women and we excluded
respondents with missing data for any outcome. We cal-
culated descriptive measures for all variables of interest
by aged-group and SNHS. Second, we compared the
reported prevalence for the dependent variables and age
group according to the SNHS. Third, we fit logistic
regression models by gender to assess factors indepen-
dently associated for each dependent variable. Finally, to
evaluate the time trend across the period 1987-2006,
adjusted odds ratios (ORs) with their confidence inter-
vals were estimated using multivariate logistic regression
models. Models were initially adjusted by age and by
those variables that yield significant associations within
the bivariate analysis. We assessed significant interaction
terms in fully adjusted models; for significant effects, we
stratified the fully adjusted models by the relevant fac-
tor. The estimates were made using the “ svy” (survey
command) functions of the STATA program, which
allowed u s to incorporate the study design and weights
in all our statistical calculations. Statistical significance
was established at P < 0.05 (two-tailed P values).
Results
The mean age increased significantly from 72.3 to 74.8
years for women and from 72.2 to 74.5 years for men
across the study period (P < 0.05). Women were slightly,
but significantly older than men in all surveys (P < 0.05).
Tables 1, 2 summarize the distribution by socio-demo-
graphic characteristics and health related variables
among women and men according to the SNHS con-
ducted (1987 2006).
Among women, the prevalence of those married,
higher education, higher number of chronic conditions
and medications, obesity and smoking habit significantly
increased along the period 1987-2006 (P < 0.01). Among
men, the evolution was very similar to women except
for smoking habits that decreased from 33.8% to 15.4%
(P < 0.01).
Time trends for LTPA, capacity to walk up ten steps
withouthelpandtowalkforonehourwithoutrestby
aged-group and gender are summarized in Table 3.
Overall, women exhibited lower prevalence of LTPA
and physical fitness (in both variables) as compa red to
men in all surveys (P < 0.01). In both gender, the preva-
lence for all dependent variables were always higher in
the younger aged group. The highest prevalence of
LTPA was found for both genders in the SNHS con-
ducted in 2006, w ith 54.6% for women, and 69.6% for
men, respectively (P < 0.05).
Crude time trends analysis by aged-group and gender
revealed an increase in the prevalence of LTPA over
time among women and men in all aged-groups (P <
0.001). On the contrary, no significant changes for phy-
sical fitness during the time period by gender or aged-
group were found (P > 0.05).
The multivariate analysis for time trends in women
found that L TPA increased significantly from 1987 to
2006 (P < 0.001, Figure 1). In addition, time t rends
(1993-2006) for the variable walking for one hour, but
not for walking 10 steps without help (Figure 2) also
exhibited a significant improvement (P < 0.01, Figure 3).
The results of the multivariate analysis to estimat e time
trends and as sociated factors for older women are sum-
marized in the table 4. Further, variables significantly
associated with a lower likelihood of reporting LTPA
among women were: age ≥ 80 years, ≥ 2co-morbid
chronic conditions, and obesity. Variables associated
with not being able to walk up ten steps or walking for
one hour included: age ≥ 80 years, worse self-rated
health, ≥ 2 medications (only for walking for one hour)
and again obesity.
Among men, LTPA has also significantly increased
from 1987 to 2006 (P < 0.001, Figure 1), but no s ignifi-
cant changes for p hysical fitness were observed (Figures
2, 3). The results of the multivariate analysis to estimate
time trends and associated factors for older men are
found within table 5. Factors associated to less practi-
cing LTPA in men were: age ≥ 80 years, being married,
and obesity. Variables associated with worse physic al fit-
ness among men were the same as for women: age 80
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years or over, worse self-rated health, ≥ 2 medications,
and obesity (only for walking for one hour).
Discussion
Our study revealed an increase in LTPA from 1987 to
2006 in ol der Spanish people. The results are consistent
with studies conducted in European, American and
Asian countries [22,25,27]. In Spain, t he study con-
ducted by Roman-Viñas et al [40] observed a slight
decreased in the proportion of sedentary leisure time
activities for males (from 50% to 45%) and females
(from 67% to 63%). However, this study was conducted
in Catalonia, a region of Spain, and did not focus in
LTPA in older people [40,41]. Therefore, our study is
the first one that includes national data over a period of
20 years in the Spanish older population.
The Scottish Health Survey found an increase in PA
among older people aged between 65 to 74 years, but a
decline in walking (65-74 year) and training sports
among 75 years and over [22]. T he results derived from
the Health Survey in En gland (1991-2004) found an
upward trend in regular sports participation in all age
groups, but particularly pronounced among the older
groups (≥ 65 years) [27]. The Behavioral Risk Factors
Surveillance System found an increase in the prevalence
of walking from 1987 to 2000, particularly in older peo-
ple [28]. The Japan Collaborative Cohort Study also
showed an increase in sports and physical exercise in
subjects aged 50-79 years old [25]. Previous studies have
shown a tendency that decre ased activity occurs with
increasing age [14,24,31]; however, a cross-sectional
study conducted with Chin ese women found that older
age was positively associated with participation in exer-
cise/sports and walking [17].
We have also found that women exhibit lower preva-
lence of LTPA and physical fitness as compared to men
in all surveys, which is in ag reement with the r esults by
Stamatakis et al [27]. The Cardiovascular Health Study
showed that men were more active in LTPA than
women in all age groups [6], which also agree with the
Table 1 Frequencies Statistic for WOMEN: Spanish National Health Surveys (SNHS) 1987, 1993, 1995-7, 2001, 2003 and
2006
SNHS 1987 SNHS 1993 SNHS 95-97 SNHS 2001 SNHS 2003 SNHS 2006
N = 2,846 N = 2,137 N = 1,303 N = 2,494 N = 3,830 N = 5,022
Age Mean (SE)
+
72.3 (0.15) 74.3 (0.23) 72.6 (0.17) 73.0 (0.14) 74.7 (0.16) 74.8 (0.14)
Age group
+
65-79 85.5 84.5 84.9 83.6 76.2 75.5
≥ 80 14.5 15.5 15.1 16.4 23.8 24.5
Marital status* Unmarried/widow/divorced 54.0 47.9 49.8 47.5 50.9 49.4
Married or living with couple 46.0 52.1 50.2 52.5 49.1 50.6
Educational level* No studies 72.9 49.7 38.9 26.5 42.0 42.0
Primary education completed 21.7 42.7 55.2 67.2 46.3 45.2
Secondary education or more 5.4 7.6 5.9 6.3 11.7 12.8
Self rated health Very good/good 34.6 39.4 37.0 36.5 33.0 33.1
Fair/poor/very poor 65.4 60.6 63.0 63.5 67.0 66.9
Nª of chronic conditions* None 40.8 41.3 37.6 32.9 26.8 19.0
1 31.8 33.0 32.3 33.2 33.2 32.7
≥2 27.4 25.7 30.1 33.9 40.0 48.3
Number of medications* None 26.7 26.1 19.0 15.4 9.1 6.5
1 34.5 33.6 33.1 31.2 21.4 14.7
≥ 2 38.8 40.3 47.9 53.4 69.5 78.8
BMI* Normal 41.6 39.1 49.7 31.2 35.2 31.5
Overweight 41.9 43.4 31.4 41.8 42.3 42.4
Obesity 16.5 17.5 18.9 27.0 22.5 26.1
Smoking habits* Smoker 1.9 3.9 1.7 2.2 1.7 3.1
Ex Smoker 2.7 2.5 2.4 2.9 2.9 4.5
Non Smoker 95.4 93.6 95.9 94.9 95.4 92.4
Sleep habits (hours day) < 8 45.8 48.2 41.9 42.8 44.8 46.8
≥ 8 54.2 51.8 58.1 57.2 55.2 53.2
Data are expressed as percentages (%)
+
Significant differences between SNHS/*Significant differences between SNHS (adjusted by age)
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current results. Contrary, Simpson et al. [28] have
shown a higher prevalence of elder women who walk. In
this study, women were two to three times more likely
than men to report that walking was one of their LTPA.
The decreased prevalence of LTPA among women can
be attributed to monitorizat ion of daily transports [26].
Gallant and Dorn [42] have reported that social network
emerged more importantly for women than for men,
which indicates that women may perform many of
health behaviors within a social context [43]. The omis-
sion of household activities may underestimate the total
PA within women and result in misclassified as physi-
cally not very active [2 6]. Further, cultural perspectives
can influence LTPA [44]. In fact, Spanish people have a
poor attitude to change or improve their physical activ-
ity as compared to Europeans [45]. In Spain, gender dif-
ferences in LTPA are in accordance with fi ndings
previously reported by Cornelio et al [41].
We found that age ≥80 years, to be married, ≥ 2co-
morbid chronic conditions and ob esity were associat ed
with a lower likelihood of report ing LTPA in both g en-
ders, which is in agreement with previous studies con-
ducted in Australia [16] and USA [29]. Gallant and
Dorn [42] reported that marital status showed an influ-
ential element in men’s health behavior. Our results are
also consistent with Kaplan et al [29] who found that
married subjects were less likely to be active th an single,
widowed, or divorced.
The current study also found that education le vel (pri-
mary or over) was related with LTPA and fitness activ-
ity, which agrees with previous studies [14,17,32]. The
Shanghai Women’s Health Study reported that women
aged 40-70 years of age with more education were more
likely to practice sports, but widows/divorced/separated
were more likely to walk [17]. In contrast, Wong et al
reported that people with lower educational level spent
more time on walking than those with higher level [32].
Among behavioral factors, smoking and BMI > 28
were negatively associated with LTPA. These results
agree with previous studies showing that obesity was
Table 2 Frequencies Statistic for MEN: Spanish National Health Surveys (SNHS) 1987, 1993, 1995-7, 2001, 2003 and
2006
SNHS 1987 SNHS 1993 SNHS 95-97 SNHS 2001 SNHS 2003 SNHS 2006
N = 2,112 N = 1,614 N = 926 N = 1,862 N = 2,304 N = 2,813
Age Mean (SE)
+
72.2 (0.18) 74.9 (0.28) 73.3 (0.21) 73.3 (0.16) 73.8 (0.19) 74.5 (0.16)
Age group
+
65-79 85.3 84.7 84.6 84.4 80.5 77.3
≥ 80 14.7 15.3 15.4 15.6 19.5 22.7
Marital status Unmarried/widow/divorced 20.8 22.7 20.2 19.4 19.0 20.0
Married or living with couple 79.2 77.3 79.8 80.6 81.0 80.0
Educational level* No studies 57.9 32.3 34.7 21.2 34.8 30.4
Primary education completed 29.7 49.9 52.6 66.3 44.5 45.5
Secondary education or more 12.4 17.8 12.7 12.5 20.7 24.1
Self rated health* Very good/good 45.0 48.4 44.5 47.6 44.9 48.5
Fair/poor/very poor 55.0 51.6 55.5 52.4 55.1 51.5
Nª of chronic conditions* None 44.5 47.4 40.9 35.6 33.0 21.6
1 32.3 34.2 33.9 33.7 33.5 32.3
≥2 23.2 18.4 25.2 30.7 33.5 46.1
Number of medications* None 37.7 36.4 26.3 22.1 15.0 12.3
1 35.0 37.7 37.0 34.1 30.6 22.8
≥ 2 27.3 25.9 36.7 43.8 54.4 64.9
BMI* Normal 45.1 37.8 40.3 30.9 27.7 28.0
Overweight 44.5 48.1 45.1 51.8 53.1 51.0
Obesity 10.4 14.1 14.6 17.3 19.2 21.0
Smoking habits* Smoker 33.8 27.9 24.2 19.3 16.8 15.4
Ex Smoker 43.3 43.9 50.0 53.1 52.2 54.3
Non Smoker 22.9 28.2 25.8 27.6 31.0 30.3
Sleep habits (hours/day) < 8 59.5 57.3 56.8 52.3 61.0 58.0
≥ 8 40.5 42.7 43.2 47.7 39.0 42.0
Data are expressed as percentages (%)
+
Significant differences between SNHS/*Significant differences between SNHS (adjusted by age)
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Table 3 Time trends by gender and age group in leisure time physical activity and physical fitness between 1987 and
2006
WOMEN Age group SNHS 1987 SNHS 1993 SNHS 95-97 SNHS 2001 SNHS 2003 SNHS 2006 P-value*
Leisure time physical activity+ 65-79 13.3 28.2 36.8 40.4 36.4 59.2 < 0.001
≥ 80 9.1 23.1 26.0 26.9 18.3 40.3 < 0.001
Total 12.7 24.2 35.1 38.2 32.1 54.6 < 0.001
Walking up 10 step+ 65-79 NA 86.5 87.9 87.6 88.2 85.6 0.056
≥ 80 NA 68.4 70.7 71.2 61.6 66.4 0.108
Total NA 83.8 85.3 85.0 81.8 80.9 0.401
Walking for one hour+ 65-79 NA 77.8 75.8 79.0 78.5 75.5 0.065
≥ 80 NA 53.6 44.4 53.5 42.6 45.3 0.385
Total NA 74.2 71.0 75.0 70.0 68.1 0.172
MEN Leisure time physical activity 65-79 26.6 45.2 56.7 60.5 45.0 73.0 < 0.001
≥ 80 18.9 49.0 41.7 46.8 33.1 58.4 < 0.001
Total 25.5 46.0 53.9 58.4 42.6 69.6 < 0.001
Walking up 10 step 65-79 NA 92.9 93.8 94.5 92.6 91.0 0.158
≥ 80 NA 80.5 82.5 82.9 77.0 74.7 0.502
Total NA 91.4 91.8 92.7 89.6 87.3 0.056
Walking for one hour 65-79 NA 87.7 88.6 88.3 87.8 84.7 0.072
≥ 80 NA 75.3 66.2 70.6 65.7 61.2 0.248
Total NA 86.3 84.8 85.7 83.4 79.4 0.066
P value for association between the prevalence of study variables and the SNHS (multivariate regression models)/NA: Not available.
+ Significant differences in the total prevalence of study variables between women and men
Figure 1 Time trends of Leisure Time Physical Activity (LTPA).
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associated with lower activity [22,46]. In the longitudi-
nal analyses of the CHIANTI study, obese older popu-
lation with low muscle strength had steeper decline in
walking speed, walk 400 m or climb one flight on
stairs as compared with those without obesity or low
muscle strength [47]. Spanish sedentary older people
exhibited lower education level in both genders. Seden-
tary men consume alcohol less frequently and have a
higher number of chronic diseases than women, while
sedentary older women are obese, have never smoked
Figure 2 Time trends of Walk 10 steps.
Figure 3 Time trends of Walk 1 hour.
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and consumed more frequently 3 or more d rugs than
men [34].
Our results provide evidence that older people report-
ing a fair/poor/very poor self-rated health status have
difficulties in walking and clim bing stairs. Self-perceived
health status is considered as a relia ble predictor of PA,
walking decline and mortality in older people [6]. In
fact, perceived poor health status has been associated
with lower PA [33], as PA significantly correlates with
self-reported health in older adults [48].
Our study has revealed an increase in LTPA during
the last 20 years, but not for the capacity to walk up ten
steps or walk f or one hour. The tendency to respond
affirmatively to LTPA can be explained because older
people sometimes have a negative opinion of those inac-
tive, and have their own beli efs about the effects of PA
[49]. In addition, the less active older individual tends to
underestimate the benefits of exercise [50]. This may be
related to the fact th at this group is determined by anti-
aging messages that appear in mass media [51], social
[42] and cultural contexts [44]. They may have a ten-
dency to integrate socially, a voiding showing they need
help for anything [52]. In addition, elders may overesti-
mate the PA [18] which they practiced, or be unaware
of the recommendations or levels of exercise for effec-
tive results [14]. Other factors that may influence adher-
ence to PA in the elderly are outcom e expectations and
environmental barriers [53], self-efficacy [54]. It is also
possible that older people meet the PA recommenda-
tions to maintain their health status but at the same
time have a sedentary lifestyle, and therefore their physi-
cal fitness has not improved.
Finally, we should recognize some limitations of our
study. First, discrepancies between trends of increase or
Table 4 Logistic Regression Models for WOMEN
Leisure time physical activity Walking up 10 step Walking for one hour
Age group 65-79 1 1 1
≥ 80 0.43 (0.36-0.51) 0.27 (0.22-0.34) 0.23 (0.19-0.28)
Marital status Unmarried/widow/divorced 1 1 1
Married or living with couple 0.87 (0.75-1.00) 1.29 (1.06-1.58) 1.41 (1.19-1.66)
Educational level No studies 1 1 1
Primary education completed 1.15 (0.99-1.33) 1.64 (1.34-2.00) 1.28 (1.08-1.51)
Secondary education or more 1.13 (0.90-1.42) 1.48 (1.05-2.08) 1.28 (0.97-1.68)
Self rated health Very good/good 1 1 1
Fair/poor/very poor 1.13 (0.97-1.32) 0.22 (0.16-0.29) 0.19 (0.16-0.24)
Nª of chronic conditions None 1 1 1
1 0.89 (0.74-1.08) 1.50 (1.11-2.04) 1.33 (1.04-1.71)
≥2 0.74 (0.61-0.89) 1.19 (0.90-1.57) 0.93 (0.74-1.17)
Number of medications None 1 1 1
1 1.28 (0.96-1.72) 1.02 (0.56-1.84) 0.83 (0.52-1.30)
≥ 2 1.15 (0.87-1.53) 0.58 (0.33-1.02) 0.48 (0.31-0.72)
BMI Normal 1 1 1
Overweight 0.98 (0.84-1.15) 0.99 (0.79-1.27) 0.97 (0.79-1.18)
Obesity 0.77 (0.63-0.95) 0.60 (0.46-0.77) 0.56 (0.45-0.70)
Smoking habits Smoker 1 1 1
Ex Smoker 1.03 (0.60-1.77) 0.59 (0.24-1.45) 1.20 (0.60-2.42)
Non Smoker 1.37 (0.90-20.7) 0.51 (0.25-1.04) 0.86 (0.50-1.48)
Sleep habits (hours/day) < 8 1 1 1
≥ 8 1.01 (0.88-1.15) 1.19 (0.99-1.43) 1.35 (1.15-1.58)
SNHS 1987 1 - -
1993 1.82 (1.40-2.36) 1 1
1995-97 2.82 (2.15-3.70) 0.98 (0.65-1.49) 1.44 (1.02-2.05)
2001 3.66 (2.86-4.67) 1.15 (0.78-1.69) 1.70 (1.24-2.34)
2003 2.53 (1.99-3.21) 1.20 (0.84-1.72) 1.59 (1.19-2.13)
2006 3.69 (2.89-4.70) 1.29 (0.90-1.86) 1.63 (1.21-2.19)
The results of the logistic models are shown as adjusted odds ratios (ORs) with 95% confidence intervals. Models adjusted by all variables shown in the table, no
significant interactions were found
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decrease in PA among studies may be related to the
definition and measurement of LTPA and physical fit-
ness [18], study designs, or the statistical analysis [51].
In the current study, we used a self-reported measure
of PA including two questions with 2 possible answers,
which can have limited the assessment o f activity and
exercise. Additionally, the SNHS only assessed LTPA
and PA; therefore, we cannot examine occupational,
recreational, and transport-related PA independently.
In addition, the validity of the questions included in
the surveys have not been analyzed. The use of objec-
tive measures coul d complement self-report data to
avoid bias, i.e., quantification of physical activity level
by calculating MET or using accelerometers [27]; how-
ever, t his is not generally feasible in large-scale popula-
tion surveys due to extensive costs. Further, even when
individuals can overestimate their participation in exer-
cise, and underestimate sedentary behaviors [14,18],
surveys are extremely useful for in vestigating patterns,
frequencies, and time trends. Finally, the use of objec-
tive measurements for assessing PA has changed over
thelastyears,sotheuseofthesameoutcomefor20
years is difficult. Secondly, the study design does not
permit to establish a cause and effect relationship due
to the lack of longitudinal follow-up of the same indi-
viduals. Nevertheless, the use of a national population-
based survey permits the inclusion of representative
national sample sizes. Despite these limitations this
study provides additional insight into demographic
aspects of LTPA and physical fitness in older adults
for whom there is little information at population
levels, particularly in Spain.
Table 5 Logistic Regression Models for MEN
Leisure time physical activity Walking up 10 step Walking for an hour
Age group 65-79 1 1 1
≥ 80 0.61 (0.49-0.75) 0.37 (0.28-0.49) 0.30 (0.24-0.39)
Marital status Unmarried/widow/divorced 1 1 1
Married or living with couple 0.79 (0.65-0.95) 0.74 (0.54-1.02) 0.94 (0.73-1.22)
Educational level No studies 1 1 1
Primary education completed 1.27 (1.04-1.54) 1.68 (1.25-2.26) 1.46 (1.13-1.88)
Secondary education or more 1.13 (0.88-1.44) 1.64 (1.06-2.57) 1.29 (0.92-1.81)
Self rated health Very good/good 1 1 1
Fair/poor/very poor 0.91 (0.76-1.08) 0.17 (0.11-0.25) 0.16 (0.12-0.22)
Nª of chronic conditions None 1 1 1
1 1.10 (0.87-1.37) 1.45 (0.95-2.20) 1.52 (1.06-2.16)
≥2 1.13 (0.88-1.44) 1.12 (0.75-1.66) 0.97 (0.68-1.38)
Number of medications None 1 1 1
1 1.00 (0.76-1.32) 1.25 (0.57-2.71) 0.63 (0.35-1.15)
≥ 2 0.89 (0.66-1.18) 0.35 (0.18-0.71) 0.33 (0.19-0.59)
BMI Normal 1 1 1
Overweight 1.00 (0.84-1.22) 1.40 (1.02-1.91) 1.08 (0.83-1.41)
Obesity 0.66 (0.43-0.96) 0.92 (0.62-1.36) 0.70 (0.51-0.98)
Smoking habits Smoker 1 1 1
Ex Smoker 0.90 (0.72-1.13) 0.54 (0.33-0.87) 0.95 (0.66-1.36)
Non Smoker 0.79 (0.62-1.02) 0.66 (0.39-1.12) 1.41 (0.95-2.09)
Sleep habits (hours/day) < 8 1 1 1
≥ 8 0.99 (0.84-1.17) 1.24 (0.93-1.65) 1.27 (1.00-1.60)
SNHS 1987 1 - -
1993 2.51 (2.03-3.11) 1 1
1995-97 3.35 (2.65-4.23) 1.01 (0.57-1.78) 0.81 (0.51-1.26)
2001 3.76 (3.04-4.66) 1.35 (0.89-2.02) 0.96 (0.69-1.35)
2003 1.99 (1.62-2.45) 1.18 (0.80-1.74) 1.01 (0.73-1.41)
2006 4.22 (2.85-5.59) 1.09 (0.74-1.62) 0.81 (0.58-1.13)
The results of the logistic models are shown as adjusted odds ratios (ORs) with 95% confidence intervals. Models adjusted by all variables shown in the table, no
significant interactions were found.
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Conclusion
Our study revealed an increase in LTPA, but not in phy-
sical fitness, from 1987 to 2006 in older Spanish people.
Older people ( age ≥ 80 years), married, with a greater
number of co-morbid chronic conditions and obese
exhibited a relatively lower LTPA. Similarly, older peo-
ple (age ≥ 80 years, those taking a greater number of
medications for chronic conditions, obese, and with
worse self-perceived health status tended to have a rela-
tively lower physical fitness. These results have potential
implications for health services, as identification of these
factors can help to prevent physical inactivity and
improve the health status of older people in Spain
List of abbreviations
PA: Physical activity; LTPA: Leisure time physical activity; SNHS: The Spanish
National Health Surveys; ORs: Odds ratios.
Acknowledgements and funding
None
Author details
1
Department of Health Science II, Universidad Rey Juan Carlos, Madrid, Spain.
2
Preventive Medicine and Public Health Teaching and Research Unit,
Department of Health Sciences, Universidad Rey Juan Carlos, Madrid, Spain.
3
School of Public Health. Madrid. Spain.
4
Department of Physical Therapy,
Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey
Juan Carlos, Alcorcón, Madrid, Spain.
Authors’ contributions
DPC conceived of the study, and participated in its design and coordination
and draft the manuscript. CAB carried out the acquisition of the data,
analysis and interpretation of data. She has been involved in revising it
critically. VHB participated in the design of the study and performed the
statistical analysis. PCG carried out the acquisition of the data, analysis and
interpretation of data. She has been involved in revising it critically. RJG
participated in the design of the study and performed the statistical analysis.
EPM carried out the acquisition of the data, analysis and interpretation of
data. She has been involved in revising it critically. CFP conceived of the
study, and participated in its design and coordination and helped to draft
the manuscript.
All authors read and approved the final manuscript.
Authors’ information
None
Competing interests
The authors declare that they have no financial competing interests and
non-financial competing interests.
Conflict of interest: The manuscript, or parts of it, have not been and will
not be submitted elsewhere for publication.
Role of the funding source: We have not financial interest and we have not
received direct o indirect funding, and there is not conflict of interest.
Received: 15 June 2011 Accepted: 13 October 2011
Published: 13 October 2011
References
1. United Nations: Population Division: World Population Ageing 1950-2050.
New York: United Nations; 2002.
2. Christensen K, Doblhammer G, Rau R, Vaupel JW: Ageing populations: the
challenges ahead. Lancet 2009, 374:1196-1208.
3. Prohaska T, Belansky E, Belza B, Buchner D, Marshall V, McTigue K,
Santariano W, Wilcox S: Physical activity, public health, and aging: Critical
issues and research priorities. J Gerontol B Psychol Sci Soc Sci 2006, 6:
S352-S356.
4. Elsawy B, Higgins KE: Physical activity guidelines for older adults. Am Fam
Physician 2010, 81:55-9.
5. Gregg EW, Cauley JA, Stone K, Thompson TJ, Bauer DC, Cummings SR,
Ensrud KE: Study of Osteoporotic Fractures Research Group: Relationship
of changes in physical activity and mortality among older women. JAm
Med Dir Assoc 2003, 289:2379-86.
6. Hirsch CH, Diehr P, Newman AB, Gerrior SA, Pratt C, Lebowitz MD,
Jackson SA: Physical Activity and Years of Healthy Life in Older Adults:
Results From the Cardiovascular Health study. J Aging Phys Activity 2010,
18:313-334.
7. Boyle PA, Buchman AS, Wilson RS, Bienias JL, Bennett DA: Physical activity
is associated with incident disability in community-based older persons.
J Am Geriatr Soc 2007, 55:195-201.
8. Byberg L, Melhus H, Gedeborg R, Sundström J, Ahlbom A, Zethelius B,
Berglund LG, Wolk A, Michaëlsson K: Total mortality after changes in
leisure time physical activity in 50 year old men: 35 year follow-up of
population based cohort. BMJ 2009, 338:b688.
9. Ueshima K, Ishikawa-Takata K, Yorifuji T, Suzuki E, Kashima S, Takao S,
Sugiyama M, Ohta T, Doi H: Physical activity and mortality risk in the
Japanese elderly: a cohort study. Am J Prev Med 2010, 38:410-8.
10. Stessman J, Hammerman-Rozenberg R, Cohen A, Ein-Mor E, Jacobs JM:
Physical activity, function, and longevity among the very old. Arch Intern
Med 2009, 169:1476-83.
11. Demakakos P, Hamer M, Stamatakis E, Steptoe A: Low-intensity physical
activity is associated with reduced risk of incident type 2 diabetes in
older adults: evidence from the English Longitudinal Study of Ageing.
Diabetologia 2010, 53:1877-85.
12. Motl RW, McAuley E: Physical activity, disability, and quality of life in
older adults. Phys Med Rehabil Clin N Am 2010, 21:299-308.
13. Caspersen CJ, Powell KE, Christenson GM: Physical Activity, Exercise, and
Physical Fitness: Definitions and Distinctions for Health-Related
Research. Public Health Rep 1985, 100:126-131.
14. Ashe MC, Miller WC, Eng JJ, Noreau L: Physical Activity and Chronic
Conditions Research Team: Older adults, chronic disease and leisure-
time physical activity. Gerontology 2009, 55:64-72.
15. Centers for Disease Control and Prevention:
Physical activity and health A
report
of the Surgeon General. Atlanta: US Dept of Health and Human
Services; 1996 [http://www.cdc.gov/nccdphp/sgr/chap2.htm].
16. Lim K, Taylor L: Factors associated with physical activity among older
people- a population-based study. Prev Med 2005, 40:33-40.
17. Jurj AL, Wen W, Gao YT, Matthews CE, Yang G, Li HL, Zheng W, Shu XO:
Patterns and correlates of physical activity: a cross-sectional study in
urban Chinese women. BMC Public Health 2007, 7:213.
18. Merom D, Bowles H, Bauman A: Measuring Walking for Physical Activity
Surveillance- The effect of Prompts and Respondents’ Interpretation of
Walking in a Leisure-Time Survey. J Phys Activity Health 2009, 6:S81-S88.
19. Fors S, Lennartsson C, Lundberg O: Health inequalities among older
adults in Sweden 1991-2002. Eur J Public Health 2008, 18:138-43.
20. Murabito JM, Pencina MJ, Zhu I, Kelly-Hayes M, Shrader P, D’Agostino RB Sr:
Temporal trends in self-reported functional limitations and physical
disability among the community-dwelling elderly population: the
Framingham Heart Study. Am J Public Health 2008, 98:1256-62.
21. Allman-Farinelli MA, Chey T, Merom D, Bowles H, Bauman AE: The effects
of age, birth cohort and survey period on leisure-time physical activity
by Australian adults: 1990-2005. Br J Nutr 2009, 101:609-617.
22. Bromley C, Sproston K, Shelton N: The Scottish Health Survey 2003. Adults.
Scotland: Scottish Executive 2005, 2: [http://www.scotland.gov.uk/Resource/
Doc/76169/0019729.pdf].
23. Carlson SA, Densmore D, Fulton JE, Yore MM, Kohl HW: Differences in
Physical Activity Prevalence and Trends From 3 U.S. Surveillance
Systems: NHIS, NHANES, and BRFSS. J Phys Activity Health 2009, 6:S18-S27.
24. Center for Disease Control: Trends in leisure-time physical inactivity by
age, sex, and race/ethnicity-Unites Sates, 1994-2004. MMWR 2005,
54:991-994.
25. Kurozawa Y, Hosoda T, Iwai N, Nose T, Yoshimura T, Tamakoshi A, for the
JACC Study Group: Levels of Physical Activity among Participants in the
JACC Study. J Epidemiol 2005, 15:S43-S47.
Palacios-Ceña et al. BMC Public Health 2011, 11:799
http://www.biomedcentral.com/1471-2458/11/799
Page 10 of 11