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Socio-demographic, clinical and health behavior correlates of sitting time in older adults.

Meneguci J, Sasaki JE, da Silva Santos Á, Scatena LM, Damião R - BMC Public Health (2015)

Bottom Line: To our knowledge, there are no population studies in Latin America examining which factors are associated to high sitting time in older adults.This study reveals that socio-demographic, clinical, and health behavior factors are associated with high sitting time in older adults from Southeastern Brazil.The results may help to identify older adults that should be targeted in interventions aiming at reducing sitting time.

View Article: PubMed Central - PubMed

Affiliation: Department of Sport Sciences, Federal University of the Triângulo Mineiro, Av. Getúlio Guaritá, 159, Bairro Nossa Senhora da Abadia, Uberaba, MG, CEP: 38025-440, Brazil. joilsonmeneguci@yahoo.com.br.

ABSTRACT

Background: Identifying correlates of sedentary behavior in older adults is of major importance to healthcare. To our knowledge, there are no population studies in Latin America examining which factors are associated to high sitting time in older adults. Thus, the purpose of this study is to identify socio-demographic, clinical, and health behavior correlates of sitting time in a representative sample of older adults living in Southeastern Brazil.

Methods: A cross-sectional study was conducted in twenty-four municipalities of the Triangulo Mineiro region in the State of Minas Gerais, Southeastern Brazil. A structured questionnaire was applied to obtain information on socio-demographic, clinical, and health behavior factors. Overall sitting time was assessed using a self-report instrument. A Multiple Correspondence Analysis was used to verify the association of sitting time with socio-demographic, clinical, and health behavior factors.

Results: 3,296 older adults (61.5% women and 38.5% men) were included in the analysis. The overall median was 240.0 minutes of sitting time/day. The Multiple Correspondence Analysis showed that the group with the highest sitting time presented the following characteristics: women, age greater than 70 years, unschooled status, arterial hypertension, diabetes mellitus, use of medication, poor self-rated health, dependence in basic activities of daily living, and absence of regular physical activity.

Conclusion: This study reveals that socio-demographic, clinical, and health behavior factors are associated with high sitting time in older adults from Southeastern Brazil. The results may help to identify older adults that should be targeted in interventions aiming at reducing sitting time.

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Related in: MedlinePlus

Factorial plan of association of the socio-demographic, clinical, and health behaviors profile with sitting time. Multiple Correspondence Analysis. G1: Sitting time < 330 minutes/day; G2: Sitting time ≥ 330 minutes/day.
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Fig1: Factorial plan of association of the socio-demographic, clinical, and health behaviors profile with sitting time. Multiple Correspondence Analysis. G1: Sitting time < 330 minutes/day; G2: Sitting time ≥ 330 minutes/day.

Mentions: The variables of dimensions 1 and 2 were found by using coordinates (X, Y) in the factorial plan, and explained 17.90% and 12.93% of the variability of the data, respectively (Figure 1). The proximity of the variables to G1 or G2 indicates the characteristics that each group is more likely to present. When analyzing the factorial plan, the following characteristics were observed for the group presenting 330 minutes or more of sitting time/day (G2): women between 70 and 79 years of age, poor self-rated health, medication use, high blood pressure, diabetes mellitus, absence of regular physical activity, dependence in basic activities of daily living, and unschooled status. The G2 group was closest to the Y axis and, consequently, more associated with dimension 2 which means that the categories of variables that made up this dimension (socio-demographic factors) were the variables that contributed the most to describe the G2 group. In contrast, the categories of variables not associated with G2 were associated with G1 (sitting time <330 minutes/day) as depicted in Figure 1.Figure 1


Socio-demographic, clinical and health behavior correlates of sitting time in older adults.

Meneguci J, Sasaki JE, da Silva Santos Á, Scatena LM, Damião R - BMC Public Health (2015)

Factorial plan of association of the socio-demographic, clinical, and health behaviors profile with sitting time. Multiple Correspondence Analysis. G1: Sitting time < 330 minutes/day; G2: Sitting time ≥ 330 minutes/day.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4318162&req=5

Fig1: Factorial plan of association of the socio-demographic, clinical, and health behaviors profile with sitting time. Multiple Correspondence Analysis. G1: Sitting time < 330 minutes/day; G2: Sitting time ≥ 330 minutes/day.
Mentions: The variables of dimensions 1 and 2 were found by using coordinates (X, Y) in the factorial plan, and explained 17.90% and 12.93% of the variability of the data, respectively (Figure 1). The proximity of the variables to G1 or G2 indicates the characteristics that each group is more likely to present. When analyzing the factorial plan, the following characteristics were observed for the group presenting 330 minutes or more of sitting time/day (G2): women between 70 and 79 years of age, poor self-rated health, medication use, high blood pressure, diabetes mellitus, absence of regular physical activity, dependence in basic activities of daily living, and unschooled status. The G2 group was closest to the Y axis and, consequently, more associated with dimension 2 which means that the categories of variables that made up this dimension (socio-demographic factors) were the variables that contributed the most to describe the G2 group. In contrast, the categories of variables not associated with G2 were associated with G1 (sitting time <330 minutes/day) as depicted in Figure 1.Figure 1

Bottom Line: To our knowledge, there are no population studies in Latin America examining which factors are associated to high sitting time in older adults.This study reveals that socio-demographic, clinical, and health behavior factors are associated with high sitting time in older adults from Southeastern Brazil.The results may help to identify older adults that should be targeted in interventions aiming at reducing sitting time.

View Article: PubMed Central - PubMed

Affiliation: Department of Sport Sciences, Federal University of the Triângulo Mineiro, Av. Getúlio Guaritá, 159, Bairro Nossa Senhora da Abadia, Uberaba, MG, CEP: 38025-440, Brazil. joilsonmeneguci@yahoo.com.br.

ABSTRACT

Background: Identifying correlates of sedentary behavior in older adults is of major importance to healthcare. To our knowledge, there are no population studies in Latin America examining which factors are associated to high sitting time in older adults. Thus, the purpose of this study is to identify socio-demographic, clinical, and health behavior correlates of sitting time in a representative sample of older adults living in Southeastern Brazil.

Methods: A cross-sectional study was conducted in twenty-four municipalities of the Triangulo Mineiro region in the State of Minas Gerais, Southeastern Brazil. A structured questionnaire was applied to obtain information on socio-demographic, clinical, and health behavior factors. Overall sitting time was assessed using a self-report instrument. A Multiple Correspondence Analysis was used to verify the association of sitting time with socio-demographic, clinical, and health behavior factors.

Results: 3,296 older adults (61.5% women and 38.5% men) were included in the analysis. The overall median was 240.0 minutes of sitting time/day. The Multiple Correspondence Analysis showed that the group with the highest sitting time presented the following characteristics: women, age greater than 70 years, unschooled status, arterial hypertension, diabetes mellitus, use of medication, poor self-rated health, dependence in basic activities of daily living, and absence of regular physical activity.

Conclusion: This study reveals that socio-demographic, clinical, and health behavior factors are associated with high sitting time in older adults from Southeastern Brazil. The results may help to identify older adults that should be targeted in interventions aiming at reducing sitting time.

Show MeSH
Related in: MedlinePlus