Understanding Variations in the Health Consequences of Sedentary Behavior: A Taxonomy of Social Interaction, Novelty, Choice, and Cognition

2021 ◽  
pp. 1-9
Author(s):  
Wendell C. Taylor
Keyword(s):  
Older Adults ◽  
Social Interaction ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Age Groups ◽  
Sedentary Behaviors ◽  
Positive Health ◽  
Adverse Health Outcomes ◽  
Important Challenge ◽  
Positive Health Outcomes

The study of sedentary behaviors requires taxonomies (classification schemes) to standardize data collection, measurements, and outcomes. Three taxonomies of sedentary behaviors have been identified, but none address an important challenge in sedentary behavior research, which is to distinguish between beneficial and detrimental health effects of various sedentary behaviors. Some sedentary behaviors (e.g., reading) are associated with positive health outcomes, whereas other sedentary behaviors (e.g., television viewing) are associated with adverse health outcomes. To address directly this complexity and present a different conception and understanding of discrepant findings related to health outcomes, a new taxonomy is needed. The development of the new taxonomy is guided by analysis of literature and selection of a relevant and informative behavioral sciences theoretical framework (i.e., self-determination theory). Because older adults are an increasing percentage of the population and report a high prevalence of sedentary behaviors, the new taxonomy was designed for older adults with potential application to all age groups. Taylor’s taxonomy of sedentary behaviors is parsimonious with four domains: social interaction (i.e., not solitary, companionship, interacting, and connecting with others); novelty (i.e., refreshingly new, unusual, or different); choice (i.e., volition, preferred option or alternative, the power, freedom, or decision to choose); and cognition (i.e., mentally stimulating and engaging).

scholarly journals Gender-specific typologies of older adults’ sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

2020 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Latent Profile Analysis ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Physical And Mental Health ◽  
Television Time ◽  
Health Related

Abstract Background. Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

scholarly journals Gender-specific typologies of older adults’ sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

2020 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Physical And Mental Health ◽  
Television Time ◽  
Health Related

Abstract Background. The aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower BMI, more grip strength and a higher physical and mental health-related quality-of-life. Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

scholarly journals Purpose in Life and Positive Health Outcomes Among Older Adults

2018 ◽  
Vol 21 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Shirley Musich ◽  
Shaohung S. Wang ◽  
Sandra Kraemer ◽  
Kevin Hawkins ◽  
Ellen Wicker
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Purpose In Life ◽  
Positive Health ◽  
Positive Health Outcomes

scholarly journals Sex-specific typologies of older adults’ sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Latent Profile Analysis ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Physical And Mental Health ◽  
Television Time ◽  
Health Related

Abstract Background Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life. Conclusions Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

scholarly journals Gender-specific typologies of older adults’ sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

2020 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Latent Profile Analysis ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Physical And Mental Health ◽  
Television Time ◽  
Health Related

Abstract Background. Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify gender-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower BMI, more grip strength and a higher physical and mental health-related quality-of-life.Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

scholarly journals Sex-specific typologies of older adults’ sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

2021 ◽  
Author(s):  
Sofie Compernolle ◽  
Ilse De Bourdeaudhuij ◽  
Greet Cardon ◽  
Delfien Van Dyck
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Latent Profile Analysis ◽  
Sitting Time ◽  
Sedentary Behaviors ◽  
Physical And Mental Health ◽  
Television Time ◽  
Health Related

Abstract Background. Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults’ sedentary behavior, and to examine their associations with health-related and socio-demographic factors. Methods. Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances. Results. Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.Conclusions. Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

scholarly journals The power-trust cycle in global health: Trust as belonging in relations of dependency

2021 ◽  
pp. 1-21
Author(s):  
Emma-Louise Anderson ◽  
Laura Considine ◽  
Amy S. Patterson
Keyword(s):  
Global Health ◽  
Health Outcomes ◽  
Positive Health ◽  
Global Health Initiatives ◽  
Health Initiatives ◽  
Power Trust ◽  
Trust And Power ◽  
Positive Health Outcomes ◽  
Exercise Of Discretion ◽  
The Relationship

Abstract Trust between actors is vital to delivering positive health outcomes, while relationships of power determine health agendas, whose voices are heard and who benefits from global health initiatives. However, the relationship between trust and power has been neglected in the literatures on both international politics and global health. We examine this relationship through a study of relations between faith based organisations (FBO) and donors in Malawi and Zambia, drawing on 66 key informant interviews with actors central to delivering health care. From these two cases we develop an understanding of ‘trust as belonging’, which we define as the exercise of discretion accompanied by the expression of shared identities. Trust as belonging interacts with power in what we term the ‘power-trust cycle’, in which various forms of power undergird trust, and trust augments these forms of power. The power-trust cycle has a critical bearing on global health outcomes, affecting the space within which both local and international actors jockey to influence the ideologies that underpin global health, and the distribution of crucial resources. We illustrate how the power-trust cycle can work in both positive and negative ways to affect possible cooperation, with significant implications for collective responses to global health challenges.

scholarly journals Self-Reported Energy Trajectories Predict Adverse Health Outcomes in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 794-795
Author(s):  
Briana Sprague ◽  
Xiaonan Zhu ◽  
Rebecca Ehrenkranz ◽  
Qu Tian ◽  
Theresa Gmelin ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Mixed Models ◽  
Single Item ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
Observational Cohort ◽  
Outcome Performance ◽  
Future Work ◽  
Mortality Hazard Ratio

Abstract Declining energy may indicate homeostatic dysregulation and predict adverse health outcomes. We hypothesized that declining energy would predict greater frailty (1-10), greater mortality, and faster mood (CES-D) and cognition (3MS) decline over time. This observational cohort studies included 2,443 older adults (mean age=74.6, 62.5% White, 47.8% men) from the Health ABC Study with up to eight years of data. Energy was assessed using a single-item question about prior month’s energy (baseline mean=6.7, SD=1.7, range=0–10, lower=less energy). We used linear mixed models to create energy change scores (mean=-.07 points/year, SD=.05, range=-0.32-0.21, negative=decreased energy). In regression models adjusting for baseline outcome performance and energy and demographics, declining energy predicted greater frailty (β=-2.72, 95%CI = -3.39,-2.06), greater mortality (hazard ratio=.07, p<.001), and faster CES-D (β=-.93, 95%CI=-1.10,-0.75) but not 3MS decline. Energy changes are easy to assess and predict clinically-relevant outcomes. Future work should consider mechanisms of declining energy on disability-related outcomes. Part of a symposium sponsored by Brain Interest Group.

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