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Motriz: Revista de Educação Física

Print version ISSN 1415-9805On-line version ISSN 1980-6574

Motriz: rev. educ. fis. vol.22 no.2 Rio Claro Apr./June 2016

http://dx.doi.org/10.1590/S1980-6574201600020008 

Original article

Sociodemographic differences in walking for leisure and for commuting in Brazilian workers

Rodrigo de Rosso Krug1 

Giovâni Firpo Del Duca1 

Kelly Samara da Silva1 

Cecília Bertuol1 

Markus Vinicius Nahas1 

Elusa Santina Antunes de Oliveira2 

Mauro Virgilio Gomes de Barros2 

1Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil

2Universidade de Pernambuco, Recife, PE, Brasil

Abstract

Walking is a great health promotion strategy due to its beneficial effects.

Objetive:

To identify the prevalence of walking for leisure and for commuting to work and its association with sociodemographic factors among 47,477 Brazilian workers. Walking and sociodemographic factors were obtained from a self-reported questionnaire. Poisson regression was used. Among men, walking for leisure was more frequent in those who were older, live with a partner, had a higher level of education and income, and worked in the Southeastern region of Brazil. When commuting, it was more prevalent among single men, who had a lower level of education and income and worked in the Southern region of this country. Among women, walking for leisure was more common in those who lived with a partner, had no children, and worked in the Southern region. There was an association between the outcome and age, education and family income. Regarding commuting, it was more prevalent among older individuals, without a partner, with a lower level of education and income, and working in the Southern region. Walking was associated with sociodemographic characteristics, with differences between sexes.

Keywords: leisure activities; occupational health; social class; cross-sectional studies

Introduction

The negative consequences of physical inactivity to health is considered of the most important risk behaviors for morbidity and mortality (Hallal et al., 2007; World Health Organization, 2009; Lee et al., 2012). The current physical activity recommendations have encouraged its practice during leisure time, domestic activities, transportation and work (WHO, 2009). In this context, walking is highly emphasized as a health promotion strategy, increasing the level of physical activity, due to its high rate of adherence, low cost, feasibility for the majority of the population, convenience, and beneficial health effects (Hallal et al., 2005; Janssen et al., 2010; Kruger, Ham, Berrigan & Ballard-Barbash, 2008; Lee & Buchner, 2008; Turi, Codogno, Fernandes & Monteiro, 2015; WHO, 2009).

Especially for leisure time, national and international studies indicate that walking is the main physical activity in adult populations (Lee, Sesso, Oguma, & Paffenbarger , 2004; Hallal et al., 2005) with prevalence ranging from 8.8% to 35% (Gomes et al., 2011; Parra et al., 2011). This activity can provide better health perception, prevent disease, promote psychological well-being (Lee et al., 2004; Gomes et al., 2011), reduce expenses on medication (Codogno et al., 2015; Turi et al., 2015) and reduce mortality risk (Barros & Nahas, 2001; Lee et al., 2004; Autenrieth et al., 2011).

Concerning commuting to work among adults, walking is an alternative mode of transportation that is economically viable in both high-income countries, with effective public transport, and in low- and middle-income countries, where populations face more difficulties with public and private transport. The national prevalence of walking for commuting is 53% (Instituto Brasileiro de Opinião e Estatística, 2011). There is evidence that people who commute to work by walking have many health benefits (WHO, 2009; Lee et al., 2004), a better health perception (Tassitano, Feitosa & Tenório, 2013), lower risk of chronic diseases, especially obesity (Gordon-Larsen et al., 2009) and lower health expenses (Codogno et al., 2015).

Understanding the differences in sociodemographic factors associated with walking during leisure time and commuting to work is very important for the development of public policies that helping to increase this behavior in society (Thomaz, Costa, Silva & Hallal, 2010), aiming to a more active and healthy lifestyle. In addition, it should be highlighted that women and men have different attitudes towards active behavior, especially walking (Hallal et al., 2005; Kruger et al., 2008), and that there are few studies addressing simultaneously walking during leisure time and commuting to work (Humpel, Owen, Iverson, Leslie, & Bauman, 2004; Teixeira, Nakamura & Kokubun, 2014; Turi et al., 2015). Therefore, the objective of the study was to identify the prevalence of walking for leisure and for commuting to work and their association with socio demographic factors among Brazilian workers.

Method

This study is part of the survey entitled "Lifestyle and leisure activities of Brazilian industry workers". Data were collected between 2006 and 2008 and the survey included workers from 24 states of Brazil. Only the states of Rio de Janeiro, Sergipe and Piaui did not participate in the investigation, because they had not completed data collection in time.

Sample size calculation was performed independently for each state, according to the following parameters: prevalence of leisure-time physical inactivity of 45%, acceptable error of three percentage points, 95% confidence interval, an addition of 50% in the sample size to account for design effect and of 20% to account for possible losses and refusals. The planned sample size was 52,774 workers.

Sampling procedures included two stages. In the first stage, companies were randomly selected, according to the distribution of employees in large (≥ 500), medium (100-499) and small (<100) companies. In the second stage, the selection of workers was random and proportional to the size of the company. The industries that refuse to participate in the study were replaced by others that were similar in size and in the type of activity and that were located within the same geographical region.

The information used to develop the sampling plan and perform the random selection of companies and participating workers was provided by SESI's Regional Departments themselves. The number of companies selected in each stage can be consulted in the General Research Report (Nahas, Barros, Oliveira & Aguiar, 2009).

The instrument used was a questionnaire validated by Barros (1999). The workers answered the questions in groups of three to 15 individuals, under the supervision of evaluators, who were previously trained by videoconference. This instrument was previously tested for logic, content, clarity and reproducibility (Barros, 1999). A total of two senior researchers participated in the validation of logic and content. A pilot study was performed to assess clarity and to identify and resolve possible problems of interpretation. Analyses of reproducibility showed moderate to high levels of agreement in the physical activity section, with an interclass correlation coefficient varying from 0.60 to 0.84.

Study outcomes were walking for leisure and for commuting to work, which were self-reported by the workers as their main physical activity in each respective domain through the following questions: "Do you regularly perform some kind of physical activity in your leisure time, such as physical exercise (gymnastics, walking, running), sports, dance, or martial arts?"; and "How do you get to work from your home on most days of the week?" The answer options were walking, cycling, riding the bus, and taking a car/motorcycle. Those who selected the first option were categorized as practitioners walk.

The exposures investigated were sex (male and female), age (≤ 29, 30-39, 40-49 and ≥ 50 years), current marital status (with or without a partner), number of children (none, 1-2, ≥ 3), schooling (incomplete elementary education, complete elementary school, complete high school and complete undergraduation), gross family income in US dollars at the time of the study (≤ $280, $281-700, $701-1400, ≥ $1,401) and country region of the company (North, Northeast, Midwest, Southeast and South).

Data analysis was performed using Stata software, version 13.0 (Stata Corporation, College Station, USA). The results were expressed as absolute, relative frequencies and prevalence ratios with confidence intervals of 95% (95% CI), using Poisson regression with robust variance. Crude and adjusted analyses stratified by sex were carried out, using the following hierarchical model of analysis: Level 1 - age and region of the company; Level 2 - marital status and number of children; Level 3 - education and family income. The backward selection strategy was adopted and the variables in the same level were adjusted for each other and for the variables in subsequent levels. Variables with p value ≤ 0.20 were maintained in the model in order to control for confounding. Results with p value ≤ 0.05 were considered statistically significant.

Results

Among the 52,774 eligible workers, 47,477 participated in the study (89.90% response rate), mostly men (69.85%). Overall, the socio-demographic characteristics of the sample were similar for both sexes: most of the workers were ≤ 29 years old (45.31% men and 47.94% women), had one or two children (45.21% of men and 44.75% women), had completed high school (49.47% of men and 54.64% women) and had a gross family income equivalent to 281-700 US dollars at the time of the study (42.11% of men and 39.75% of women). By contrast, concerning marital status, most men (60.83%) reported having partners, while 54.18% of women reported being single. All variables showed statistical differences when sexes were compared. Further details on the workers' characteristics are shown in Table 1.

Table 1 Characteristics of industry workers Brazilian according to sex. Brazil, 2008. 

Note: The variable number of children had the highest amount of missing information for both sexes (1246 missings in total, of which 801 were men and 445 were women). 95% CI: confidence intervals of 95%. p value <0,001 to comparison male and female.

The prevalence of walking was 13.59% (95% CI: 13.27, 13.92) for leisure and 11.44% (95% CI: 11.16; 11.73) for com muting to work. 11.65% (95% CI: 11.30, 12.02) of men and 18.16% (95% CI: 17.51, 18.83) of women practiced walking during leisure time. Walking for commuting to work was reported by 10.18% (95% CI: 9.85, 10.51) of men and 14.38% (95% CI: 13.81, 15.00) of women. There was a significant difference between males and females for the two outcomes investigated (p<0.001).

Table 2 displays the results of the crude and adjusted analyses concerning walking for leisure and for commuting to work among males. There was an increasing trend of walking during leisure time among males with increasing age. However, age was not associated with walking for commuting to work. Workers with partners were 13% more likely to walk in leisure time and 14% less likely to walk for commuting to work. In addition, it was found that increasing education level and gross family income were associated with higher prevalence of walking in leisure time. Walking for commuting to work was significantly higher among socioeconomically disadvantaged workers. While workers from the Southeast region had the highest prevalence of walking for leisure (OR = 1.53), workers from the South had the highest prevalence of commuting to work (PR = 1.95).

Table 2 Descriptive and adjusted analysis of habitual practice walking for leisure and commuting to work among Brazilian male industry workers. Brazil, 2008. 

Note: PR: Prevalence ratio; 95% CI = 95% Confidence Interval;

*= Heterogeneity test;

**= Linear trend.

Table 3 shows the crude and adjusted analyses of walking for leisure and for commuting to work among females. Increasing age was associated with walking for leisure and for commuting to work. Female workers with partners were 13% more likely to walk during leisure time and 9% less likely to walk for commuting to work compared to single female workers. The number of children was associated with lower prevalence of walking in leisure time (p = 0.05). i.e. working women with three or more children were 16% less likely to walk for leisure. However, the number of children was not significantly associated with walking for commuting to work. There was a positive trend between education level and the prevalence of walking for leisure, while the reverse occurred in the relation between education level and walking for commuting to work, i.e. less educated women were more likely to walk to commute to work. In relation to family income, women with lower income had higher prevalence of walking for both leisure and commuting. When compared with the North region, working in the South of Brazil was associated with higher prevalence of walking in both leisure time (OR = 1.32) and commuting to work (PR = 2.80).

Table 3 Descriptive and adjusted analysis of habitual practice walking for leisure and commuting to work among Brazilian female industry workers. Brazil, 2008. 

Note: PR: Prevalence ratio; 95% CI = 95% Confidence Interval;

*= Heterogeneity test;

**= Linear trend.

Discussion

This study identified the prevalence and factors associated with walking during leisure time and commuting to work among Brazilian male and female workers. Walking prevalence, as the main physical activity in leisure time and in commuting to work, was considered low. In Brazil, there are few studies that have specifically assessed physical activity in adult workers simultaneously in both domains (Humpel et al., 2004; Teixeira, Nakamura & Kokubun, 2014). This result can be partly explained by various environmental factors such as the rapid growth of cities, which could result in diminished opportunities for performing physical activity during leisure time, as well as greater difficulties for active commuting (Robroek et al., 2011). In addition, issues such as working hours, high technological facilities (Robroek, Berg, Plat & Burdorf, 2011) and adverse weather conditions (Adamoli, Silva & Azevedo,2011) tend to decrease regular physical activity in general (Robroek et al., 2011), including walking.

The prevalence of walking for leisure was slightly higher than walking for commuting to work in the study population, a result that is in agreement with other studies which show that, in Brazil, the prevalence of walking for leisure is usually higher than that for commuting to work (Gomes et al., 2011; Parra et al., 2011).

It is speculated that this finding can be explained by the worldwide increase in urban violence and insecurity (Handy, 2005). Some studies (Florindo, Salvador, Reis, & Guimarães, 2011; Gomes et al., 2011; Parra et al., 2011) showed that walking for leisure and commuting to work are influenced by the environment in different ways. Safety is one such way and it seems to have a greater influence on commuting to work.

Regarding sex, we observed that the prevalence of walking in both domains was higher among women than men. One possible explanation for this may be related to the fact that men practice more moderate and vigorous activities (Azevedo et al., 2007; Thomaz et al., 2010) and women, more walking and domestic activities (Thomaz et al., 2010). In addition, men usually engage in collective activities such as football, while women opt for individual activities such as walking or gymnastics (Del Duca, Nahas, Hallal, & Peres, 2014).

In this study, it was shown that walking for leisure was more prevalent in older workers from both sexes. Similar results were found in other Brazilian studies (Del Duca et al., 2014; Pitanga, Beck, Pitanga, Freitas, & Almeida, 2014). One explanation for this is that young and middle-aged adults engage in other more vigorous activities in their leisure time, while older adults engage in milder or moderate activities, such as walking (Hallal et al., 2005). However, concerning walking for commuting to work, older age was positively associated with the outcome in women only. This result may be related to the fact that older women are more concerned about health issues, quality of life and aesthetics when compared to younger people, making them more involved with the practice of physical activities regardless of domain, intensity and duration (Azevedo et al., 2007).

Concerning marital status, workers of both sexes who lived without a partner were more likely to walk for commuting to work. Similar results were found in another study involving adult residents of a Brazilian city (Dumith, Domingues & Gigante, 2009). On the other hand, walking for leisure was more common among men and women who had a partner. According to authors (Del Duca et al., 2014) that observed similar findings, this relationship may be explained in part by the possibility of a joint practice, making physical activity more pleasant and enjoyable for those who live together.

In this study, having no children was associated with higher prevalence of walking for leisure in women only. Other studies (Barros & Nahas, 2001; Florindo et al., 2009) have shown that, regardless of sex, the number of children influences physical activities during leisure time. It is possible that this discrepancy can be explained by existing family compositions. Typically, women are primarily responsible for taking care of their children during leisure time, which can reduce the time spent in walking in this domain (Florindo et al., 2009).

In this study, walking for commuting to work was significantly higher among workers with lower levels of education and income, in both sexes. While in leisure time, walking was higher in individuals of higher educational levels for both sexes, men with higher income and women with lower income. It is possible that women with higher income choose other activities instead of walking, however there is no way to test this hypothesis with our data.

Kruger et al. (2008) also found that walking in leisure time was more frequent among educated people and higher family income, while walking for commuting to work was more frequent in individuals of lower socioeconomic status. In Brazilian studies (Barros & Nahas, 2001; Tassitano, Feitosa & Tenório, 2013; Pitanga et al., 2014), the same trend of physical activity in leisure time, including walking (Barros & Nahas, 2001), or commuting is observed (Tassitano, Feitosa & Tenório, 2013; Pitanga et al., 2014). It seems that the higher the educational level of Brazilian adults, the more physical activity is practiced for leisure and the less for commuting and for domestic purposes (Engbers, Poppel, Paw, & Mechelen, 2005). Possibly, this reality is most striking in middle and low income countries compared to high income countries, where the educational disparity is not so evident in the population. Among men, walking for leisure was more frequent in the Southeast, while walking for commuting was more frequent in the South. Among women, walking for both purposes was more frequent in those living in the South. Thus, walking was more common among workers of the richest regions of Brazil (South and Southeast). In the literature, wealthy regions with higher education levels tend to have more physically active people in leisure (Janssen et al., 2010) but less in commuting (Kruger et al., 2008; Tassitano, Feitosa & Tenório, 2013). Importantly, companies located in richer regions tend to have more financial resources, and consequently, better infrastructure and facilities (Matson- Koffman, Brownstein, Neiner & Greaney, 2005; Mutrie et al., 2002) to perform physical activity in leisure time. It is believed that programs that encourage physical activity, as well as the availability of spaces suitable to the practice of these activities, are favorable aspects, and that companies could invest in this environment, by providing lectures on the benefits of regular physical activity, building sports courts, walking tracks, gyms and etc (Saelens & Handy, 2008).

On the other hand, the higher frequency of walking for commuting to work in less developed regions of Brazil can be explained by the absence of public transport in some localities and also by lower levels of violence compared to more developed regions and populated regions of the country. Studies (Dumith, Domingues & Gigante, 2009; WHO, 2009) show that there are many reasons that may hinder physical activity, among which are the increase in crime and high levels of traffic congestion.

This study had some limitations, such as the cross-sectional design, which restricts inferences about causal relationships between variables associated with walking for leisure and for commuting to work. The replacement of some companies, that refused to participate, by others of the same size and the replacement of selected workers, who were not at work at the time of collection or refused to participate, by the next name on the list of workers may have negative implications for the sampling procedure (non-respondent bias). One should also consider seasonal bias since data collection in each state occurred in different periods. The positive points of the study include the size and probability sample selection procedure, since this study was conducted with a large sample, sufficient for statistical analysis and representative of industry workers from 23 Brazilian states and the Federal District. Another important point was the high response rate.

Conclusion

Walking prevalence, as the main physical activity in leisure time and in commuting to work, was considered low. Sociodemographic factors associated with walking differ between the sexes, with different patterns for each domain. These differences may result in affirmative action for a physically active lifestyle, in which initiatives that support physical activity in different domains take into account some socio-demographic aspects of workers. Conducting cohort studies is important to better understand the "directionality" of these associations.

Acknowledgments

The authors of this study acknowledge the financial and logistical support provided by the Social Service for Industry (SESI), which allowed the survey to be conduct ed successfully; the industry workers for participation, patience and commitment to research and the Coordination for the Improvement of Higher Education Personnel (CAPES) for master's and doctoral scholarships awarded to two authors of this paper.

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Received: September 11, 2015; Accepted: February 25, 2016

Corresponding author Rodrigo de Rosso Krug Federal University of Santa Catarina Sports Center - Research Centre in Physical Activity and Health - Campus Universitário Reitor João David Ferreira Lima, Cen tro de Desportos. Florianopolis, SC, Brazil. Email: rodrigo_krug@hotmail.com

Autor's note Rodrigo de Rosso Krug, Giovâni Firpo Del Duca, Kelly Samara da Silva, Cecília Bertuol and Markus Vinicius Nahas are affiliated whith the Federal University of Santa Catarina Sports Center, research Centre in Physical Activity and Health.

Mauro Virgilio Gomes de Barros and Elusa Santina Antunes de Oliveira are affiliated with the University of Pernambuco, Research Group in lifestyle and health.

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