Periodic Change in Sufficient Physical Activity: A 2-Year Study of a Multi-Ethnic Cohort

2015 ◽  
Vol 12 (10) ◽  
pp. 1369-1377
Author(s):  
Rod K. Dishman ◽  
Claudio Nigg
Keyword(s):  
Physical Activity ◽  
Latent Transition Analysis ◽  
Outcome Studies ◽  
Point Prevalence ◽  
Self Report ◽  
Periodic Change ◽  
Objective Measures ◽  
Transition Analysis ◽  
Total Cohort ◽  
Multiethnic Sample

Background:Measuring the way people vary across time in meeting recommended levels of physical activity is a prerequisite to quantifying exposure in outcome studies or identifying determinants of sufficient physical activity. The study determined whether distinct patterns of change in sufficient physical activity could be identified in a population.Methods:A cohort (N = 497) from a random, multiethnic sample of adults living in Hawaii was assessed every 6 months for 2 years beginning spring 2004. Latent transition analysis classified people as sufficiently or insufficiently active each time.Results:In the total cohort, odds that people would move from insufficient to sufficient activity (45% to 59%) at each 6-month transition were higher than odds they would move from sufficient to insufficient activity (8% to 13%). However, those odds, as well as types and amounts of physical activity, differed widely among and within 3 of 4 transition classes that represented 21% of the cohort.Conclusions:Point-prevalence of sufficient physical activity in the total cohort was similar to contemporary U.S. estimates. However, physical activity varied between and within subgroups of the cohort. Further research is needed using self-report and objective measures to determine patterns of change in sufficient physical activity in other representative cohorts.

scholarly journals What they say and what they do: comparing physical activity across the USA, England and the Netherlands

2018 ◽  
Vol 72 (6) ◽  
pp. 471-476 ◽  
Author(s):  
Arie Kapteyn ◽  
James Banks ◽  
Mark Hamer ◽  
James P Smith ◽  
Andrew Steptoe ◽  
...  
Keyword(s):  
Physical Activity ◽  
The Netherlands ◽  
Age Groups ◽  
The Self ◽  
Self Report ◽  
Objective Measures ◽  
Accelerometer Data ◽  
Physically Active ◽  
Self Reports ◽  
The Usa

BackgroundPhysical activity (PA) is important for maintaining health, but there are fundamental unanswered questions on how best it should be measured.MethodsWe measured PA in the Netherlands (n=748), the USA (n=540) and England (n=254), both by a 7 day wrist-worn accelerometer and by self-reports. The self-reports included a global self-report on PA and a report on the frequency of vigorous, moderate and mild activity.ResultsThe self-reported data showed only minor differences across countries and across groups within countries (such as different age groups or working vs non-working respondents). The accelerometer data, however, showed large differences; the Dutch and English appeared to be much more physically active than Americans h (For instance, among respondents aged 50 years or older 38% of Americans are in the lowest activity quintile of the Dutch distribution). In addition, accelerometer data showed a sharp decline of PA with age, while no such pattern was observed in self-reports. The differences between objective measures and self-reports occurred for both types of self-reports.ConclusionIt is clear that self-reports and objective measures tell vastly different stories, suggesting that across countries people use different response scales when answering questions about how physically active they are.

scholarly journals Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis

2018 ◽  
Vol 187 (7) ◽  
pp. 1549-1558 ◽  
Author(s):  
Stephen J Mooney ◽  
Spruha Joshi ◽  
Magdalena Cerdá ◽  
Gary J Kennedy ◽  
John R Beard ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Latent Transition Analysis ◽  
Transition Analysis ◽  
Longitudinal Patterns ◽  
Latent Transition

scholarly journals Where are Children Active and Does it Matter for Physical Activity? A Latent Transition Analysis

2016 ◽  
Vol 13 (12) ◽  
pp. 1294-1300 ◽  
Author(s):  
Natalie Colabianchi ◽  
Jamie L. Griffin ◽  
Kerry L. McIver ◽  
Marsha Dowda ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Latent Transition Analysis ◽  
Latent Classes ◽  
Activity Levels ◽  
Transition Analysis ◽  
Physical Activity Levels ◽  
Latent Transition ◽  
Over Time

Background:Numerous studies have focused on the role of environments in promoting physical activity, but few studies have examined the specific locations where children are active and whether being active in these locations is associated with physical activity levels over time.Methods:Self-reported locations of where physical activity occurred and physical activity measured via accelerometry were obtained for a cohort of 520 children in 5th and 6th grades. Latent class analysis was used to generate classes of children defined by the variety of locations where they were active (ie, home, school grounds, gyms, recreational centers, parks or playgrounds, neighborhood, and church). Latent transition analyses were used to characterize how these latent classes change over time and to determine whether the latent transitions were associated with changes in physical activity levels.Results:Two latent classes were identified at baseline with the majority of children in the class labeled as ‘limited variety.’ Most children maintained their latent status over time. Physical activity levels declined for all groups, but significantly less so for children who maintained their membership in the ‘greater variety’ latent status.Conclusions:Supporting and encouraging physical activity in a variety of locations may improve physical activity levels in children.

Feasibility, Validity, and Responsiveness of Self‐Report and Objective Measures of Physical Activity in Patients With Chronic Pain

PM&R ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 858-867
Author(s):  
Matthew L. Stevens ◽  
Chung‐Wei C. Lin ◽  
Hidde P. van der Ploeg ◽  
Maria De Sousa ◽  
Jessica Castle ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Pain ◽  
Self Report ◽  
Objective Measures

scholarly journals Pre- to Postoperative Physical Activity Changes in Bariatric Surgery Patients: Self Report vs. Objective Measures

Obesity ◽  
2010 ◽  
Vol 18 (12) ◽  
pp. 2395-2397 ◽  
Author(s):  
Dale S. Bond ◽  
John M. Jakicic ◽  
Jessica L. Unick ◽  
Sivamainthan Vithiananthan ◽  
Dieter Pohl ◽  
...  
Keyword(s):  
Physical Activity ◽  
Bariatric Surgery ◽  
Self Report ◽  
Objective Measures

scholarly journals Physical Activity and Body Composition Among Ambulatory Individuals With Multiple Sclerosis

2005 ◽  
Vol 7 (4) ◽  
pp. 137-142 ◽  
Author(s):  
Erin M. Snook ◽  
Mina C. Mojtahedi ◽  
Ellen M. Evans ◽  
Edward McAuley ◽  
Robert W. Motl
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Body Composition ◽  
Self Report ◽  
Objective Measures ◽  
Activity Levels ◽  
Body Fatness ◽  
X Ray ◽  
The Relationship ◽  
Report Measure

Individuals with multiple sclerosis (MS) engage in less physical activity than the general population. This level of inactivity may increase a person's risk of being overweight and obese. The relationship between physical activity and body composition is examined among 34 ambulatory adults with a definite diagnosis of MS. Participants wore pedometers and accelerometers, objective measures of physical activity, for 7 days; completed a self-report measure of physical activity; and underwent various measurements of body composition, including body mass index (BMI), waist circumference, and relative body fat by dual energy X-ray absorptiometry (DXA). Statistically significant negative correlations were found between physical activity levels and measures of body fatness, and the correlations were strong between the objective measures of physical activity and DXA measures of body composition. The correlations were moderate between the self-report measure of physical activity and less precise measures of body composition. Our findings suggest that inactivity plays an important role in body fatness among people with MS, and subjective measures of physical activity and less precise measures of body fatness, such as BMI, may underestimate the strength of the relationship between physical activity and risk for obesity in the MS population.

Longitudinal patterns of lifestyle behaviours in adolescence: a latent transition analysis

2020 ◽  
pp. 1-11
Author(s):  
Mohamed Dakin ◽  
Florian Manneville ◽  
Johanne Langlois ◽  
Karine Legrand ◽  
Edith Lecomte ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multinomial Logistic Regression ◽  
Eating Behaviour ◽  
Latent Transition Analysis ◽  
Healthy Diet ◽  
Lifestyle Behaviour ◽  
Cross Sectional ◽  
Transition Analysis ◽  
Factors Associated ◽  
Latent Transition

Abstract The interdependence among eating behaviour (EB), physical activity (PA) and sedentary time (ST) suggests simultaneously identifying homogeneous profiles and describing their changes. This study aimed to (1) identify cross-sectional lifestyle behaviour profiles and their 2-year changes among French school-age adolescents and (2) identify factors associated with these profiles and changes. Longitudinal data from adolescents who participated in the PRomotion de l’ALIMentation et de l’Activité Physique trial were used. PA and ST were assessed with the International Physical Activity Questionnaire and EB with a FFQ. Profiles at baseline and their changes were identified by latent transition analysis. Multinomial logistic regression models were used to identify factors associated with profiles and their changes. Among 2390 adolescents included (14–18 years), five baseline profiles that differed mainly in EB were identified: ‘healthy diet and high PA (7·9 %)’, ‘big eater and moderate to high PA (23·8 %)’, ‘healthy diet and low PA (31·2 %)’, ‘restrictive diet and moderate PA (20·6 %)’ and ‘sugar products, nibbling and moderate PA (16·5 %)’. Young adolescents, those who were overweight or obese and socially advantaged, were more in the ‘healthy diet and low PA’ than others. Boys, older and socially less advantaged adolescents exhibited more ‘unfavourable’ than ‘mixed’ changes, while adolescents with overweight or obesity had less ‘unfavourable’ than ‘mixed’ changes. In conclusion, adolescents were twice the number in the least than the most favourable profile. Findings highlighted the importance of EB among adolescents and suggest taking adolescents’ sociodemographic and weight characteristics into account in interventions aimed at acting on adolescents’ behaviours.

Difference Between Self-Reported and Accelerometer Measured Moderate-to-Vigorous Physical Activity in Youth

2010 ◽  
Vol 22 (4) ◽  
pp. 523-534 ◽  
Author(s):  
Allana G.W. LeBlanc ◽  
Ian Janssen
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Systematic Difference ◽  
Self Report ◽  
Objective Measures ◽  
The Difference

We examined differences between objective (accelerometer) and subjective (self-report) measures of moderate-to-vigorous physical activity (MVPA) in youth. Participants included 2761 youth aged 12–19 years. Within each sex and race group, objective and self-reported measures of MVPA were poorly correlated (R2 = .01–.10). Self-reported MVPA values were higher than objective values (median: 42.4 vs. 15.0 min/d). 65.4% of participants over-reported their MVPA by 35 min/d. The difference between self-reported and objective measures was not influenced by sex, age, or race. There was, however, a systematic difference such that inactive participants over-reported their MVPA to the greatest extent.

scholarly journals Changes in Depression Subtypes Among Men in STAR*D: A Latent Transition Analysis

2015 ◽  
Vol 12 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Christine M. Ulbricht ◽  
Levent Dumenci ◽  
Anthony J. Rothschild ◽  
Kate L. Lapane
Keyword(s):  
Depressive Symptomatology ◽  
Latent Transition Analysis ◽  
Self Report ◽  
Psychomotor Slowing ◽  
Transition Analysis ◽  
Symptom Resolution ◽  
Latent Transition ◽  
Level 1 ◽  
Depression Subtypes ◽  
Men's Experience

The burden of depression in men is high. Current diagnostic criteria may not fully capture men’s experience with depression. Descriptions of the heterogeneity in depression among men are lacking. The purpose of the study was to characterize latent subtypes of major depression and changes in these subtypes among men receiving citalopram in Level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Latent transition analysis was applied to data from 387 men who completed baseline and Week 12 study visits in Level 1 of STAR*D. Items from the self-report version of the Quick Inventory of Depressive Symptomatology were used as indicators of latent depression subtypes. Four statuses were identified at baseline and Week 12. Baseline statuses were Mild (10% of men), Moderate (53%), Severe with Psychomotor Slowing (20%), and Severe with Psychomotor Agitation (17%). At Week 12, the statuses were Symptom Resolution (41%), Mild (36%), Moderate (18%), and Severe with Psychomotor Slowing (5%). Men in the Mild status were most likely to transition to Symptom Resolution (probability = 69%). Men in the Severe with Agitation status were least likely to transition to Symptom Resolution (probability = 0%). This work highlights the need to not focus solely on summary rating scores but to also consider patterns of symptoms when treating depression.

Sex and Ethnic Differences in Children’s Physical Activity: Discrepancies between Self-Report and Objective Measures

1998 ◽  
Vol 10 (3) ◽  
pp. 277-284 ◽  
Author(s):  
James F. Sallis ◽  
Thomas L. McKenzie ◽  
John P. Elder ◽  
Patricia L. Hoy ◽  
Todd Galati ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ethnic Differences ◽  
Mexican American ◽  
Self Report ◽  
Objective Measures ◽  
Accelerometer Data ◽  
Recall Data ◽  
Anglo American ◽  
American Children ◽  
Children’S Physical Activity

Previous studies have not used both self-report and objective measures to assess sex and ethnic differences in children’s physical activity. In the present study, 187 Mexican American and Anglo American children, aged 11 to 12 years, were assessed by two 7-day physical activity recall interviews and up to 8 days of accelerometer (Caltrac) monitoring over a 6-month period. Compared to Anglo American boys, accelerometer data showed Mexican American boys, Anglo American girls, and Mexican American girls to be 95,81, and 75% as active, respectively. Activity recall data showed that, compared to Anglo American boys, Mexican American boys, Anglo American girls, and Mexican American girls were 95,95, and 90% as active, respectively. The extent of sex and ethnic differences in children’s physical activity depend on the measure used.

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