Literature DB >> 20529318

A gender perspective on factors that influence outdoor recreational physical activity among the elderly.

Katarina Sjögren1, Louise Stjernberg.   

Abstract

BACKGROUND: Physical activity (PA) is part of a healthy lifestyle and prevents many chronic health problems, in addition to promoting mental health. PA performed outdoors has been found particularly good for promoting one's well-being. The aim of this study was to investigate the extent to which outdoor recreational PA was carried out during 1 year, and the factors influencing such activities from a gender perspective among persons >or= 60 years of age.
METHODS: This study included 999 individuals 60-96 years of age living in the south eastern part of Sweden. Data collection was carried out during the years of 2001-2003. We measured the amount of regular light and/or intense outdoor recreational PA performed during the last year and determined the probability of performing PA as a function of 10 variables covering individual and socioeconomic factors.
RESULTS: Our results suggest that being independent physically and healthy enough to manage one's personal hygiene and having access to areas for country walks were the most important factors associated with the probability of engaging in outdoor recreational PA for both men and women. Despite the level of performance being almost equal for the sexes as two-thirds of both had performed outdoor recreational PA during the preceding year more factors, i.e., living alone, being unable to cover an unexpected cost, fear of being violated, and fear of falling, were associated with the possibilities of engaging in outdoor recreational PA among women. Also increasing age seems to affect activities among women negatively to a higher extent than men.
CONCLUSION: Men and women seem to have different opportunities and needs with respect to performing PA. These considerations do not seem to be sufficiently taken into account today and improvements could be made concerning e.g., health-promoting activities suggested to the elderly by healthcare personnel and spatial planning within society. Promoting outdoor recreational PA that has restorative effects on well-being needs to focus on activities which are attractive and affordable for the majority of both men and women.

Entities:  

Mesh:

Year:  2010        PMID: 20529318      PMCID: PMC2891794          DOI: 10.1186/1471-2318-10-34

Source DB:  PubMed          Journal:  BMC Geriatr        ISSN: 1471-2318            Impact factor:   3.921


Background

Being active throughout the majority of one's lifetime has an important influence on overall health and well-being. This paper has used the widely known definition of physical activity (PA) as "any bodily movement produced by the contraction of skeletal muscle that increases energy expenditure above a basal level" [1]. PA has been found to prevent many chronic health problems as well as to promote mental health and well-being [1-4]. Lower mortality rates occur among those who become physically active late in life as compared to those who were active in early life and stopped exercising. Although an increased vulnerability to chronic disease and disability is inherent in the aging process, evidence suggests that being physically active can influence the course of many frequently occurring diseases among the elderly [5]. Outdoor recreational PA, defined here as "to be outside in natural or cultural landscapes for well-being and encounters with nature without demands for competition" [6] has been shown to be particularly good for promoting well-being. PA performed outdoors in natural settings has been found to have restorative effects on people's health and to reduce mental fatigue [7,8]. Studies [9,10] have shown that there are factors that influence whether or not elderly people engage in PA, e.g., experience of pain or fatigue, lack of interest, or daily access to a car. To have a social network, including living with a partner, has been found to affect the performance of PA positively, while fear of falling and fear of violence have been found to have the opposite effect [11-14]. One marker of health and independence which is thought to affect the performance of PA is whether the person is able to bathe or shower independently [15,16]. Sweden has the oldest population in Europe; 5% of Sweden's population is > 80 years of age and the majority (64%) are women [17]. Women have consistently been found to have lower rates of participation in PA than men throughout life [4,18]. However, Bernstein et al. [19] suggested that women do not perform less PA than men, but are active in a different way through other kinds of activities, e.g., housework and walking. There may be a significant gender bias in the way PA is measured. PA is a wide-ranging term that includes a variety of activities that may occur in many different settings, modes, and at varying frequencies and intensities. This complexity makes it difficult to measure. Over the last few decades, PA and related terms, e.g., exercise, have been defined somewhat inconsistently. The most valid assessment of an individual's level of activity remains a controversial and difficult area [20,21]. Furthermore, little is known about factors that influence outdoor recreational PA among the elderly, especially from a gender perspective. Investments in health-promoting activities, such as outdoor recreational PA, are important and powerful factors in the continued healthful lives of the growing population of the elderly and it is therefore increasingly important to achieve a better understanding of PA behaviours among the elderly [22]. A better understanding about the factors that influence outdoor recreational PA among the elderly and differences between men and women would make it possible to plan appropriate health interventions that would hopefully lead to an active and healthy elderly population. The aim of this study was to investigate the extent to which outdoor recreational PA was carried out during 1 year, and the factors influencing such activities from a gender perspective among persons ≥ 60 years of age.

Methods

Study area, participants, and design

This study was part of the Swedish National Study on Aging and Care (SNAC), an interdisciplinary, longitudinal study that started in 2001. A more detailed description of the complete design and structure of the SNAC study are outlined by Lagergren et al. [23]. The characteristics of the sample that comprise the total SNAC study closely reflects those of the general population of elderly people in Sweden. Thus, the total SNAC sample may be perceived as representative of the elderly in Sweden [23]. This study includes baseline data collected between April 2001 and May 2003 from Karlskrona municipality, defined as a suburban region, with 60,600 inhabitants. Of these inhabitants, 19% are ≥ 65 years of age compared to 17.5% in the other areas of Sweden. Thirteen percent of inhabitants belong to the 65-79-year age group and 6% are ≥ 80 years of age, compared to 12.2% and 5%, respectively, in the other areas of Sweden [17]. Karlskrona is situated in the south eastern part of Sweden, is quite close the Baltic Sea, and has easy access to the countryside with both woodland and archipelago settings. This study included individuals 60-96 years of age. The purpose of the data collection design was to receive a randomly selected sample, representing the old population in a broad variation of ages. Thus, those invited to participate were randomly selected members of the 60-, 66, 72-, and 78-year age cohorts, however, since the number of elderly decrease with increasing age, all surviving members of the 81-, 84-, 87-, 90-, 93-, and 96-year age cohorts were invited. The purpose of the data collection design was to receive a randomly selected sample, representing the old population in a broad variation of ages. For data management and analysis, the participants were divided into the following 4 age groups: 60-66, 72-78, 81-87, and 90-96 years. An invitation to participate in the study was sent by post. After 2 weeks, those who had not replied to the first invitation were contacted by telephone (three attempts). Those who agreed to participate were invited to the research centre; if they were unable to attend, a researcher visited them at their home. The participants completed a questionnaire that included items concerning sex, age, ability to bathe or shower independently, smoking habits, living status, level of education, being able to cover an unexpected cost, being part of a social network, whether the participant had abandoned outdoor recreational PA due to fear of violence or due to fear of falling, and access to areas offering country walks. Outdoor recreational PA was measured by the following two survey questions: A) "How often have you performed PA with light intensity (e.g., walking in roads, in parks, or in the woods, short bicycle tours, light gymnastics, and golf or similar activities) during the last 12 months," and B) "How often have you performed PA more intensely (e.g., jogging, long and high intensity walking, heavy gardening, long bicycle tours, intense gymnastics, long-distance skating, skiing, swimming, ball games (not golf), or similar activities) during the last 12 months."

Statistical analysis

Descriptive statistics were used to evaluate sample characteristics. The Pearson chi-square test was used to evaluate gender differences in variables covered in the questionnaire and to evaluate differences in characteristics between groups that performed outdoor recreational PA (light and/or more intense) in relation to all the other variables covered in the questionnaire. Stepwise multiple binary logistic regression was used to evaluate the associations between various independent variables and the performance of outdoor recreational PA. The dependent variable was measured by combining answers to the two questions about outdoor recreational PA (light and/or more intense activities during the last 12 months) on a binary scale, as follows 0 = never to 1-3 times/month, and 1 = several times per week to every day. Thus, the relative input of light and intense activities was the same. Simultaneous relationships between the dependent variable and all independent variables were modelled and evaluated using odds ratio (OR). Two different models were tested separately for both men and women. In the first model, all independent variables from the questionnaire were included (Table 1). The next model included variables for which a significant impact on the probability of performing outdoor recreational PA existed between the independent variables that included more than 5 participants in each combined group, and also evaluated association for interaction between these variables, with a p-value < 0.005. The statistical significance of the variables was determined using a 95% confidence interval (CI). Data were computerised and analysed using SPSS 17.0 for Windows.
Table 1

Independent variables included in the first model in the logistic regression analysis evaluating factors with a significant influence on performance of outdoor recreational physical activity among elderly men and women.

VariablesCoded as
01
Able to bathe or shower independentlyable1not able
Living statuscohabiting2single3
Level of educationlower4higher5
Personal financial situationable6not able7
Being part of a social networkyesno
Abandoned outdoor recreational PA* during the evenings due to fear of violenceyes8no9
Abandon outdoor recreational PA* due to fear of fallingyes8no9
Have access to areas for countrywalksaccessno access
Smoking habitssmoker10non-smoker11

Dummy variables
Age stratified into age groups60-6672-7881-8790-96

1 totally on my own/need help to wash my back

2 married/living with a partner

3 widow/widower/unmarried/divorced

4 uncompleted elementary school, nine-year compulsory school, vocational training

5 senior high school, higher certificate, university degree, postgraduate study

6 able to cover an unexpected cost within a week

7 not able to cover an unexpected cost within a week

8 often/rather often

9 never/seldom

10smokes regularly/sometimes

11 stopped smoking/never smoked

* Physical activity

Independent variables included in the first model in the logistic regression analysis evaluating factors with a significant influence on performance of outdoor recreational physical activity among elderly men and women. 1 totally on my own/need help to wash my back 2 married/living with a partner 3 widow/widower/unmarried/divorced 4 uncompleted elementary school, nine-year compulsory school, vocational training 5 senior high school, higher certificate, university degree, postgraduate study 6 able to cover an unexpected cost within a week 7 not able to cover an unexpected cost within a week 8 often/rather often 9 never/seldom 10smokes regularly/sometimes 11 stopped smoking/never smoked * Physical activity

Ethics

The study was approved by the Research Ethics Committee at Lund University. Informed written consent was obtained from all participants.

Results

Participant characteristics

In total, 2312 people were invited to participate and 1402 (61%) agreed to do so. Of the participants were 585 men and 817 women. Of the 910 non-participants, 355 (39%) were men and 555 (61%) were women. The reasons given for not participating were unwillingness 756, (83%), or considering themselves too sick to participate, 92 (10%). Contact could not be made with 62 people (7%). Of the 1402 persons who agreed to participate, 999 (71%) answered all of the questions in the questionnaire, and thus constitute the sample included in this study. Typically, those participants not answering all of the questions were ≥ 81 years of age and suffered from illness or functional impairment. Participant characteristics and gender differences are presented in Table 2. The number of participants according to age and gender and participation in outdoor recreational PA is presented in Table 3.
Table 2

Participant characteristics and gender differences among elderly people included in a study of outdoor recreational physical activity.

Menn = 451 (45%)Womenn = 548 (55%)Totaln = 999Pearson chi-square
Age (years)
Mean747574
Median727774
Range60-9660-9660-96
Able to bathe or shower independently
Yes435 (96)504 (92)939 (94)
No16 (4)44 (8)60 (6)p = 0.003
Smoking
Yes60 (13)55 (10)115 (12)
No391 (87)493 (90)884 (88)n.s.
Cohabiting
Yes327 (73)239 (44)566 (57)
No124 (27)309 (56)433 (43)p = 0.000
Level of education
Lower education351 (78)471 (86)921 (92)
Higher education100 (22)77 (14)78 (8)p = 0.011
Being able to cover an unexpected cost
Yes396 (88)430 (78)826 (83)
No55 (12)118 (22)173 (17)p = 0.000
Being part of a social network
Yes236 (52)312 (57)544 (55)
No215 (48)236 (43)447 (45)n.s.
Abandoning outdoor recreational physical activity during the evenings due to fear of violence
Often11 (2)76 (14)87 (9)
Never440 (98)472 (86)912 (91)p = 0.000
Abandoning outdoor recreational physical activity due to fear of falling
Yes15 (3)59 (11)74 (7)
No436 (97)489 (89)925 (93)p = 0.000
Access to areas for country walks
Yes401 (89)449 (82)85 (15)
No50 (11)99 (18)850 (85)p = 0.002
Table 3

Participation in outdoor recreational physical activity according age and gender.

Never/1-3 times per monthSeveral times per week/every dayTotal
n (%)*(%)**n (%)*(%)**n (%)*
Men (n = 451)
60-66 years (n = 167)55 (12)(33)112 (25)(67)167 (37)
72-78 years (n = 120)32 (7)(27)88 (20)(73)120 (27)
81-87 years (n = 145)55 (12)(38)90 (20)(62)145 (32)
90-96 years (n = 19)13 (3)(68)6 (1)(32)19 (4) 19 (4)
Total155 (34)296 (66)451 (100)
Women (n = 548)
60-66 years (n = 183)29 (5)(16)154 (28)(84)183 (33)
72-78 years (n = 149)46 (8)(31)103 (19)(69)149 (27)
81-87 years (n = 184)89 (17)(48)95 (17)(52)184 (34)
90-96 years (n = 32)21 (4)(66)11(2)(34)32 (6)
Total185 (34)363 (66)548 (100)
All (n = 999)
60-66 years (n = 350)84 (8)(24)266 (27)(76)350 (35)
72-78 years (n = 269)78 (8)(29)191 (19)(71)269 (27)
81-87 years (n = 329)144 (14)(44)185 (19)(56)329 (33)
90-96 years (n = 51)34 (3)(67)17 (2)(33)51 (5)
Total340 (34)659 (66)999 (100)

* Percentage referring to all participants

** Percentage within the age group

Participant characteristics and gender differences among elderly people included in a study of outdoor recreational physical activity. Participation in outdoor recreational physical activity according age and gender. * Percentage referring to all participants ** Percentage within the age group

Differences between groups and factors that were significantly associated with performance of outdoor recreational PA among men

Factors that were significantly associated with outdoor recreational PA among men were being able to bathe or shower independently, being a non-smoker, and having access to areas for country walks (Table 4). The performance of outdoor recreational PA decreased significantly in the 72-78-year age group (Pearson chi-square, p = 0.038) and in the 90-96-year age group (Pearson chi-square, p = 0.001).
Table 4

Differences between men and women and factors that were significantly associated with the performance of outdoor recreational physical activity (four-fold table).

FactorMenPearson chi-squarepWomenPearson chi-squarep
Being able to bathe or shower independently0.0000.000
Being a non-smoker0.0310.170 n.s.
Having access to areas for country walks0.0020.000
Cohabiting or not0.232 n.s.0.000
Level of education0.880 n.s.0.000
Being able or unable to cover an unexpected cost0.214 n.s.0.014
Being part of a social network or not0.576 n.s.0.076 n.s.
Having fear of violence or not0.888 n.s.0.015
Having fear of falling or not0.116 n.s.0.000
Differences between men and women and factors that were significantly associated with the performance of outdoor recreational physical activity (four-fold table).

Differences between groups and factors that were significantly associated with performance of outdoor recreational PA among women

Factors that were significantly associated with outdoor recreational PA among women were being able to bathe or shower independently, cohabiting, having a higher level of education, being able to cover an unexpected cost, having no fear of violence, having no fear of falling, and having access to areas for country walks (Table 4). The performance of outdoor recreational PA decreased significantly in the 81-87-year age group (Pearson chi-square, p = 0.000) and in the 90-96-year age group (Pearson chi-square, p = 0.000) as compared to the 60-66-year age group.

Logistic regression analysis

The final model for men involved 5 variables, including one interaction variable: Men 90-96 years of age as compared to men 60-66 years of age • Being a non-smoker • Able to bathe or shower independently • Access to areas for country walks Men 90-96 years of age as compared to men 60-66 years of age and being a smoker The final model for women involved 7 variables, including one interaction variable: Women 72-78 years of age as compared to women 60-66 years of age Women 81-87 years of age as compared to women 60-66 years of age Women 90-96 years of age as compared to women 60-66 years of age • Able to bathe or shower independently • Access to areas for country walks • Level of education Women 81-87 years of age as compared to women 60-66 years of age and having access to areas for country walks

Predictors of the probability for performing outdoor recreational PA among men and women

The variables that were significantly associated with an increased probability of performing outdoor recreational PA among men and women are presented in Table 5. Except for those 90-96 years of age, all other variables described increased the probability for performing outdoor recreational PA among men. For women, the probability decreased in all of the higher age groups. However, the interaction variable showed that if the participant was 81-87 years of age and had access to areas for country walks, the probability increased.
Table 5

Binary logistic regression predicting independent factors significantly associated with the probability of performing outdoor recreational physical activity among elderly men and women.

FactorOdds Ratio*Confidence intervalp-value
Men
90-96 years10.2910.101-0.8410.023
Being a non-smoker1.9411.105-3.4090.021
Being able to bathe or shower independently11.0572.398-50.9910.002
Having access to areas for country walks2.2201.191-4.1380.012
Women72-78 years10.4690.274-0.8040.006
81-87 years10.4110.235-0.7170.002
90-96 years10.2000.081-0.4980.001
Being able to bathe or shower independently6.8202.831-16.4320.000
Having a higher level of education2.2931.121-4.6900.023
81-87 years and having access to areas for country walks4.3882.145-8.9760.000

1Versus the 60-66-year-old age group

2 Interaction variable measuring age group 81-87 years as compared to age group 60-66 years and having access to areas for country walks

*Covariates were adjusted to each odds ratio

Binary logistic regression predicting independent factors significantly associated with the probability of performing outdoor recreational physical activity among elderly men and women. 1Versus the 60-66-year-old age group 2 Interaction variable measuring age group 81-87 years as compared to age group 60-66 years and having access to areas for country walks *Covariates were adjusted to each odds ratio

Discussion

The performance was almost equal between the sexes since two-thirds of both men and women had performed outdoor recreational PA during the preceding year. The main findings from this study indicate that being physically healthy enough to manage one's personal hygiene and having access to areas for country walks are the most important factors associated with the probability of performing outdoor recreational PA for both men and women. Even if no interaction was seen between age and gender the probability for activities decreased with advancing age in all age groups among women. Increasing seems to affect women more than men. Smoking habits among men and educational level among women were also important factors affecting the probability of engaging in PA. Living alone, being unable to cover an unexpected cost, fear of being violated, and fear of falling were factors that negatively affected the performance of outdoor recreational PA among women. Thus, there were more factors associated with limitations for women to perform outdoor recreational PA than men. In contrast to other studies [24,25], we found women were just as physically active as men. It would be remarkable if women were less active and differed in behaviour from men with respect to PA, when generally they exhibit more positive health behaviours than men. Such statements might be explained by the fact that many studies have focused on activities strongly associated with sports and exercise, traditionally performed mostly by men, and less on activities performed more by women, such as housework, gardening, walking, and biking, [26]. We included a wide spectrum of activities performed outdoors, offering a broader opportunity to include more physical activities and this might explain our findings, i.e., that women are almost equally physically active as men. Not surprisingly, the marker we used for health and independence, i.e., being able to bathe or shower independently, was found, to positively affect the performance of outdoor recreational PA among both men and women. These findings are in agreement with other studies [13] which showed that somatic health status is clearly associated with PA, and [27] that participation in PA is influenced only by physical limitations among the elderly. Our findings, stressing the importance of having access to areas for country walks agree with data from previous studies [28] showing that the performance of PA is significantly influenced by access to a park or a recreation centre. Men were found to have greater access to such areas than women, which might have a financial explanation. Men have a more favourable financial situation e.g., owning a car and having a driving license are more common among elderly men than women, and this could make it easier for men to engage in outdoor recreational PA [10]. Men also have higher average pensions than women and are better able to cover unexpected costs [29]. These economic differences are expected to persist since women remain more likely to work part-time and more likely to be lower-wage earners, both of which have a negative effect on their pensions. Women therefore might need supplementary support from society to access recreational areas, especially as we found that women in the 81-87 age group have more outdoor recreational PA if they have access to areas for country walks. Our results, show that smoking habits among men and educational level among women are important factors which affect the probability of performing outdoor recreational PA. Studies [14,30] have shown a negative correlation between smoking and PA that is confirmed by our results, but only among men. However, in Sweden smoking is more common among women than among men, a fact that has to be taken into account when planning health-promoting activities. The number of smoking participants in this study was low, which reflects the smoking habits among Swedish adults. In fact, Sweden has Europe's smallest proportion of daily smokers among men. In 2003, 17% of men and 18% of women aged 16-84 years were daily smokers [31]. Individuals with less secondary education tend not to be as physically active as more educated individuals, and formerly women tended to be less educated than men [24,25]. In this study, women with a higher level of education were more likely to perform outdoor recreational PA than women with a lower level of education. Other factors that affected the performance of women to a higher extent than that of men, were cohabiting and fear of violence or falling. These findings are in agreement with the findings of Lee [32], who showed that women are more likely to be in situations less conducive to PA than men both with respect to living conditions and the financial situation. However, unmarried men have been found to be more physically inactive than unmarried women [14]. As others suggest, fear of violence seems to have a negative effect on the performance of PA among elderly women [13]. Fear of falling is common among the elderly and is one psychological barrier to performing PA. Both of these factors imply a risk factor of developing the other [11]. Fall-induced injuries among the elderly are an increasing public health concern in modern societies with aging populations [33] and PA is an important factor in preventing such injuries. The importance of PA in this respect needs to be stressed. Accordingly, it is important to create supportive outdoor spaces, such as spaces that are easy for the elderly to use, contribute to more active lifestyles which facilitate life satisfaction and health [34], promote PA, and prevent injuries. Compared with the 60-66-year age group, outdoor recreational PA decreased significantly in all older age groups among women. No significant decrease was seen among men until the participants reached the 90-96-year age group. Suggesting different kinds of activities might provide the elderly with more opportunities to remain physically active and/or influence PA behaviour. The number of the oldest old will continue to increase due to the size of the aging population and increasing longevity. Data from this study help to emphasise the importance of implementing preventive measures in order to add health to longer lives. In contrast to other studies [35] which have excluded participants > 70 years of age, assuming that the PA patterns depended largely on their health status, we included those who were 90-96 years of age, even if they only comprised a small fraction of the participants. PA does not have to be vigorous to yield health benefits. Every day activities, such as walking and gardening, have positive health effects [4]. Our purpose was to investigate whether there was any outdoor recreational PA, and thus the answers to the two survey questions on light and more intense outdoor recreational PA during the last 12 months were put together and dichotomized. Other studies [3,25] measured moderate PA, which was not specifically evaluated in our study and might have provided more information. Aware that many elderly people perform PA indoors, we chose specifically to study PA performed outdoors because of the health benefits known to result from interacting with nature [7,8,36]. Our definition of PA included a broad range of both organised and unorganised activities. Participants were given examples of activities on the questionnaire and were allowed to evaluate the various activities that they participated in over the course of 1 year. The intensities and types of activities can vary widely during a year and the seasons are likely to influence both the activity level and the activities chosen. In the questionnaire, the participants only reported in general terms the extent to which they had performed PA during the year. The variation in the types of activities design could have lead to bias in our results. The survey question used to assess PA should be seen as a fairly simple measure of PA and may not be as strong as more advanced and validated instruments of PA for the elderly. The retrospective nature of the study may also entail bias. For some elderly people the memory of PA over a period of a whole year is difficult, and might not offer adequate insight. This study had a rather high share of non-participants (response rate, 43.2%). Non-participants increase threats to the external validity, and generalizing the findings has to be done with caution [37]. Owing to the formulations of the questions on PA, people with major functional limitations did not find them relevant to answer. Therefore, the response rate among those > 81 years was low, that has also affected the total response rate. We included participants 90 years of age and older. Even though this group comprised a small fraction of the participants (51/999; 5%), they are an important group since the numbers of the oldest old will continue to increase due to the size of the aging population and increasing longevity. The strengths of this study are that it was based on a random age-stratified sample of elderly people, the number of participants was high, the age of the participants ranged from 60-96 years, and the distribution according to gender was almost equal (54.9% women and 45.1% men).

Conclusion

Being independent and healthy enough to manage one's personal hygiene and having access to areas for country walks emerged as the most important factors associated with the probability of performing outdoor recreational PA for both men and women. Even if the performance was almost equal between the sexes since two-thirds of both men and women had performed outdoor recreational PA during the preceding year, we found that there were more factors associated with possibilities of performing outdoor recreational PA among women. Also increasing age seems to affect activities among women negatively to a higher extent than men. Men and women seem to have different opportunities and needs to perform PA. Our results lead us to conclude that these considerations might not be sufficiently taken into account today and could be improved, i.e., in the health-promoting activities suggested to elderly people by healthcare personnel, as well as in spatial planning within society. More studies about gender differences are needed in this field. The promotion of outdoor recreational PA, which also has restorative effects on well-being, needs to focus on activities which are attractive and affordable for the majority of both men and women.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

KS and LS analyzed the data, drafted the paper and both authors contributed to the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2318/10/34/prepub
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3.  Babesiosis Occurrence Among United States Medicare Beneficiaries, Ages 65 and Older, During 2006-2017: Overall and by State and County of Residence.

Authors:  Mikhail Menis; Barbee I Whitaker; Michael Wernecke; Yixin Jiao; Anne Eder; Sanjai Kumar; Wenjie Xu; Jiemin Liao; Yuqin Wei; Thomas E MaCurdy; Jeffrey A Kelman; Steven A Anderson; Richard A Forshee
Journal:  Open Forum Infect Dis       Date:  2020-12-15       Impact factor: 3.835

Review 4.  Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review.

Authors:  Marielle A Beenackers; Carlijn B M Kamphuis; Katrina Giskes; Johannes Brug; Anton E Kunst; Alex Burdorf; Frank J van Lenthe
Journal:  Int J Behav Nutr Phys Act       Date:  2012-09-19       Impact factor: 6.457

5.  Physical activity patterns in older men and women in Germany: a cross-sectional study.

Authors:  Anna Moschny; Petra Platen; Renate Klaassen-Mielke; Ulrike Trampisch; Timo Hinrichs
Journal:  BMC Public Health       Date:  2011-07-13       Impact factor: 3.295

6.  Babesiosis Occurrence among the Elderly in the United States, as Recorded in Large Medicare Databases during 2006-2013.

Authors:  Mikhail Menis; Richard A Forshee; Sanjai Kumar; Stephen McKean; Rob Warnock; Hector S Izurieta; Rahul Gondalia; Chris Johnson; Paul D Mintz; Mark O Walderhaug; Christopher M Worrall; Jeffrey A Kelman; Steven A Anderson
Journal:  PLoS One       Date:  2015-10-15       Impact factor: 3.240

7.  Physical activity in subjects with multiple sclerosis with focus on gender differences: a survey.

Authors:  Elisabeth Anens; Margareta Emtner; Lena Zetterberg; Karin Hellström
Journal:  BMC Neurol       Date:  2014-03-10       Impact factor: 2.474

8.  Factors Related to Physical Activity Among the Elderly Population in Rural Thailand.

Authors:  Plernta Ethisan; Ratana Somrongthong; Jamil Ahmed; Ramesh Kumar; Robert S Chapman
Journal:  J Prim Care Community Health       Date:  2016-10-31

9.  Physical activity in patients with heart failure: barriers and motivations with special focus on sex differences.

Authors:  Leonie Klompstra; Tiny Jaarsma; Anna Strömberg
Journal:  Patient Prefer Adherence       Date:  2015-11-09       Impact factor: 2.711

10.  Characteristics of outdoor falls among older people: a qualitative study.

Authors:  Samuel R Nyman; Claire Ballinger; Judith E Phillips; Rita Newton
Journal:  BMC Geriatr       Date:  2013-11-18       Impact factor: 3.921

  10 in total

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