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 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 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.

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).

Abstract MP92: Sedentary Behavior: Do Television-viewing and Total Time Sitting Measure the Same Component?

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Heather A McGrane Minton ◽  
Kelly Thevenet-Morrison ◽  
I. Diana Fernandez
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Television Viewing ◽  
Weighted Kappa ◽  
Sitting Time ◽  
Viewing Time ◽  
Kappa Statistics ◽  
Sedentary Behaviors ◽  
Tv Viewing

Background: Sedentary behaviors (SB) are activities associated with prolonged time periods of sitting, reclining, or laying down during waking hours. While the relation between SB and physical activity is complex, the common consensus is that SB is not the absence of physical activity and consists of its own determinants posing distinct health outcomes. These behaviors are of significant public health importance as the majority of Americans spend much of their days in SB and due to the increased risks of morbidity and mortality associated with SB. Adverse health outcomes associated with SB include cardiovascular disease, obesity, metabolic syndrome, hypertension and mortality. Television-viewing time and total sitting time have both been used widely to assess time spent in SB and therefore we hypothesize that TV-viewing time and total hours sitting will have high concordance and can be used interchangeably to represent sedentary behaviors. Methods: Using a sample (n = 2858) from the Images of a Healthy Worksite study, a group-randomized control trial involving nutrition and physical activity, the current study assessed how two different tools measured time spent in SB. Tertiles were created based upon the distribution of hours sitting and hours spent TV-vewing. Weighted Kappa statistics were used to measure concordance between hours of TV-viewing and total hours of time spent sitting for the entire sample and for subgroup analyses. Results: Weighted Kappa statistics for tertiles of hours sitting and tv hours were 0.0046, indicating little agreement on the television and the sitting items. Kappa w statistics for BMI categories also showed poor agreement (obese Kappa w = 0.02, overweight Kappa w = 0.002, and healthy subjects Kappa w = 0.006. The Kappa w statistics for males and females were -0.006 and 0.02, respectively. Kappa w statistics for the intervention group (Kappa w = 0.007) and for the control group (Kappa w = 0.0005) also showed little agreement. Conclusions: These results suggest that although commonly used, using television viewing time and total time spent sitting as interchangeable markers of SB, is not a valid assumption. We propose that total time spent sitting and hours spent television-viewing represent different domains within the construct of sedentary behavior. It is important for future researchers to use measures of sedentary behavior that capture the numerous domains involved in measuring SB to allow for the most sensitive measurement of this high-risk behavior.

Changes in Self-Reported Health and Psychosocial Outcomes in Older Adults Enrolled in Sedentary Behavior Intervention Study

2019 ◽  
Vol 33 (7) ◽  
pp. 1053-1057 ◽  
Author(s):  
Theresa E. Matson ◽  
Melissa L. Anderson ◽  
Anne D. Renz ◽  
Mikael Anne Greenwood-Hickman ◽  
Jennifer B. McClure ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Behavior Intervention ◽  
Habit Strength ◽  
Sitting Time ◽  
Group I ◽  
Reported Health

Purpose: To estimate changes in self-reported health and psychosocial factors associated with a 12-week sedentary behavior intervention for older adults. Design: Exploratory secondary analysis of pilot randomized controlled trial. Setting: Kaiser Permanente Washington Subjects: Sixty adults aged 60 to 89 with body mass index ≥30 kg/m2. Intervention: Participants were randomized to the I-STAND intervention or control group. I-STAND involved 6 coaching sessions, a study workbook, Jawbone UP activity tracker to prompt breaks from sitting, and activPAL feedback on objective sitting time. Measures: At baseline and 12-week follow-up, participants completed a survey with validated measures of self-reported health outcomes (depression, stress, memory/concentration, sleep, pain, ability to do daily activities, energy, and quality of life) and modified scales measuring psychosocial factors (perceived benefits/barriers, social support, self-efficacy, and sedentary habit strength) regarding sedentary behavior. Analysis: Generalized linear models assessed associations between group assignment and change in each self-reported health and psychosocial score, adjusting for baseline scores. Results: I-STAND participants demonstrated improvements in self-efficacy (β = 0.35, 95% confidence interval [CI]: 0.10 to 0.60) and reduced habit strength (β= −0.23, 95% CI: −0.42 to −0.04) compared to control participants. There were no significant differences in self-reported health outcomes, although power was limited in this exploratory analysis. Conclusion: A sedentary behavior reduction intervention for older adults resulted in improvements for some psychosocial factors. Health outcomes may require longer than 12 weeks to observe improvements.

Health-related quality of life and co-morbidities among older adults in Bhutan

2018 ◽  
Vol 4 (2) ◽  
pp. 15-24
Author(s):  
Nidup Dorji ◽  
Michael P. Dunne ◽  
Charrlotte Seib ◽  
Sibnath Dep
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Older Adults ◽  
Female Gender ◽  
P Value ◽  
Health Related Quality ◽  
Physical And Mental Health ◽  
Related Quality ◽  
Health Related

Introduction: Health-related quality of life (HRQoL) is a multi-dimensional construct that assesses an individual’s and group’s perceived physical and mental health over time. Measurement of HRQoL is an important medical outcome study and its study among older adults in Bhutan is limited. Methods: This is a cross-sectional study aimed to assess HRQoL and its sociodemographic and health correlates, among older adults in Bhutan. Data for this study was collected from the four major towns of Thimphu, Phuntsholing, Gelephu, and Samdrupjongkhar, Bhutan, from November 2014 - February 2015, using structured questionnaire with face-to-face interview. A total of 337 Bhutanese older adults participated in this study. Statistical analysis was performed using statistical package for social science version 21.0. Results: The overall mean score for the HRQoL among older adults in this study was 0.67 (SD: 0.13) significantly different between the gender (p-value<0.001). A significantly low scores inthe areas of role limitations (p<0.05), pain (p<0.01), mental health (p<0.001), and vitality (p<0.05) of the HRQoL was observed for the female gender. Frequent back pain (67.1%), memory decline (60.5%), depression (46.0%) mobility impairment (45.4%), insomnia (42.1%), and problem affecting breathing (31.8%) were common health problems and were significantly higher among the female gender. Better health conditions was positively related with better HRQoL (p-value<0.001). Conclusions: Low HRQoL was reported higher among female gender and was linked to multiple and cumulative health morbidities. Members of the family, community and healthcare providers could incorporate holistic approach to foster positive health outcomes and HRQoL of the older adults.

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