ingest
cdrApp
2018-06-13T14:52:35.800Z
51cd2fe2-3fd7-401f-a923-a97bc3db68a2
modifyDatastreamByValue
RELS-EXT
fedoraAdmin
2018-06-13T15:03:04.900Z
Setting exclusive relation
addDatastream
MD_TECHNICAL
fedoraAdmin
2018-06-13T15:03:16.534Z
Adding technical metadata derived by FITS
addDatastream
MD_FULL_TEXT
fedoraAdmin
2018-06-13T15:03:40.700Z
Adding full text metadata extracted by Apache Tika
modifyDatastreamByValue
RELS-EXT
fedoraAdmin
2018-06-13T15:04:03.840Z
Setting exclusive relation
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2018-07-16T21:49:33.443Z
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2018-07-18T17:21:52.710Z
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2018-08-22T16:07:09.115Z
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2018-09-28T18:55:03.958Z
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2018-10-12T17:45:06.844Z
modifyDatastreamByValue
MD_DESCRIPTIVE
cdrApp
2019-03-22T21:07:54.536Z
Michael
Close
Author
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Spring 2018
2018
Public health
eng
Doctor of Philosophy
Dissertation
University of North Carolina at Chapel Hill Graduate School
Degree granting institution
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
Michael
Close
Author
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Spring 2018
2018
Public health
eng
Doctor of Philosophy
Dissertation
University of North Carolina at Chapel Hill Graduate School
Degree granting institution
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
Michael
Close
Author
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Spring 2018
2018
Public health
eng
Doctor of Philosophy
Dissertation
University of North Carolina at Chapel Hill Graduate School
Degree granting institution
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
Michael
Close
Author
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Spring 2018
2018
Public health
eng
Doctor of Philosophy
Dissertation
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
University of North Carolina at Chapel Hill
Degree granting institution
Michael
Close
Creator
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Public health
eng
Doctor of Philosophy
Dissertation
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
University of North Carolina at Chapel Hill
Degree granting institution
2018
2018-05
Michael
Close
Author
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
Spring 2018
2018
Public health
eng
Doctor of Philosophy
Dissertation
University of North Carolina at Chapel Hill Graduate School
Degree granting institution
Health Behavior
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
Michael
Close
Creator
Department of Health Behavior
Gillings School of Global Public Health
IDENTIFYING AND DESCRIBING SEGMENTS OF OFFICE WORKERS BY ACTIVITY PATTERNS: ASSOCIATIONS WITH DEMOGRAPHIC CHARACTERISTICS, LEVELS OF PHYSICAL ACTIVITY, AND BODY MASS INDEX
Sufficient engagement in physical activity is important in reducing the prevalence of activity-linked chronic disease among office workers. The dissertation research, presented through three manuscripts, leverages baseline data from a worksite nutrition intervention study to identify and describe segments of office workers by activity patterns, with the purpose of informing workplace physical activity programming.
In Manuscript One, latent class analysis was used to identify segments of office workers by self-reported types of usual activity behaviors (n = 239). In addition, demographic characteristics and objectively measured levels of physical activity associated with segment membership were examined. A two-class model indicative of “exerciser” (50.2%) and “non-exerciser” (49.8%) segments fit best. Those with a Bachelor’s degree or higher (vs. less than Bachelor’s degree) were more likely to be a member of the “exerciser” segment, while women (vs. men) were less likely to belong to the “exerciser” segment. In the fully adjusted model, minutes of weekly moderate-vigorous physical activity were more than two times higher for the “exerciser” segment (mean = 209.5 minutes; SE = 13.5) than the “non-exerciser” segment (mean = 77.5; SE = 4.0).
In Manuscript Two, the relationship between segment membership and body mass index was evaluated. In the full model, membership to the “exerciser” segment was associated with significantly lower mean body mass index (mean = 29.0; SE = 0.6) as compared to the “non-exerciser” segment (mean = 35.1; SE = 0.9).
In Manuscript Three, the predictive validity and test-retest reliability of the self-report physical activity instrument used to collect data for segmentation was evaluated. In the evaluation of predictive validity, the instrument showed reasonably strong overall Spearman correlations in short (rho = 0.35 – 0.40) and long-term (rho = 0.26 – 0.33) timeframes. The overall test-retest reliability of the instrument within an approximate six-month timeframe was also adequate (rho = 0.54 – 0.59). Stratified analyses showed minimal differences in predictive validity and test-retest reliability by age, weight status, and sex.
The overall dissertation findings shed light on the heterogeneity in activity engagement found in the workplace and also contribute to the research examining the psychometric properties of self-reported physical activity instruments.
2018-05
2018
Public health
eng
Doctor of Philosophy
Dissertation
University of North Carolina at Chapel Hill Graduate School
Degree granting institution
Leslie
Lytle
Thesis advisor
Anthony
Viera
Thesis advisor
Laura
Linnan
Thesis advisor
Ding-Geng
Chen
Thesis advisor
Carmina
Valle
Thesis advisor
text
Close_unc_0153D_17536.pdf
uuid:9fee6910-ba1a-48b2-9c41-151ad53c2a7e
2020-06-13T00:00:00
2018-03-23T14:05:30Z
proquest
application/pdf
924480