Literature DB >> 2237033

The assessment of physical activity by leisure-time physical activity questionnaires.

K L Lamb1, D A Brodie.   

Abstract

The assessment of physical activity by questionnaire is currently the most popular and practical method of quantifying physical activity levels. Many questionnaires, past and present, have considered overall or habitual physical activity, which includes occupational (or nonleisure) activity. Others have focused specifically on leisure-time physical activity (LTPA) owing to the recognition of its dominating contribution to the total physical activity of developed populations. This review covers questionnaires that wholly or in part attend to LTPA levels. Typically, self-complete or interviewer-administered questionnaires record information on the types, frequency and duration of activities performed over a particular period of time. Activity-specific energy cost values, expressed in metabolic equivalents (METS) or kilocalories, are then commonly used to estimate the total energy expenditure from all activities and/or categories of activities. The validation of LTPA questionnaires has had to rely upon indirect methods, such as the assessment of cardiorespiratory fitness, body composition and activity diaries. The reporting of the reliability of questionnaires has frequently been ignored, although in cases where it has been reported, doubt exists as to whether the consistency of the questionnaire or the consistency of subjects' physical activity habits were being examined. LTPA questionnaires first appeared in the literature in the mid-1960s for use among specific, mainly middle-aged male population groups. Though they varied in their modes of scoring, periods of activity recall, and overall complexity, associations were universally observed between physical activity levels and chronic health conditions. However, it became apparent that different questionnaires did not yield the same results. In 1978, a questionnaire to assess only LTPA, the Minnesota LTPA Questionnaire, was published and despite its substantial limitations, has since established itself as the most popular option available. In recent years, shorter and simpler alternatives have been advocated, though most have yet to be adequately scrutinised. Associations have been found between LTPA and fitness levels, prompting the use of LTPA questionnaires in large-scale fitness surveys of both adults and children. Although LTPA has continued to be estimated in terms of energy expenditure, little attempt has been made to extend existing knowledge on the energy cost of physical activities. Existing values do not accommodate for individual intensities and inter-population activity variations. Consequently, standardised questionnaires are not yet viable. There exists considerable scope for further work with LTPA questionnaires, especially since the association between coronary heart disease and physical activity is now well recognised. Efforts ought to be directed at wider social groups for whom leisure-time activity may have distinct implications.

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Year:  1990        PMID: 2237033     DOI: 10.2165/00007256-199010030-00003

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  93 in total

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Authors:  S Punsar
Journal:  Adv Cardiol       Date:  1976

2.  Physical activity, physical fitness and risk of myocardial infarction.

Authors:  L Wilhelmsen; G Tibblin; M Aurell; J Bjure; B Ekström-Jodal; G Grimby
Journal:  Adv Cardiol       Date:  1976

3.  Physical fitness does not reflect physical activity patterns in middle-aged workers.

Authors:  J C Sobolski; J J Kolesar; M D Kornitzer; G G De Backer; Z Mikes; M M Dramaix; S G Degre; H F Denolin
Journal:  Med Sci Sports Exerc       Date:  1988-02       Impact factor: 5.411

4.  Reliability and concurrent validity for a 7-d re-call of physical activity in college students.

Authors:  R K Dishman; M Steinhardt
Journal:  Med Sci Sports Exerc       Date:  1988-02       Impact factor: 5.411

5.  Accuracy of pedometers for measuring distance walked.

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Journal:  Res Q       Date:  1977-10

6.  A human calorimeter for the direct and indirect measurement of 24 h energy expenditure.

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Journal:  Br J Nutr       Date:  1978-05       Impact factor: 3.718

7.  Physical activity and physical fitness levels of Belgian males aged 40-55 years.

Authors:  G De Backer; M Kornitzer; J Sobolski; M Dramaix; S Degré; M de Marneffe; H Denolin
Journal:  Cardiology       Date:  1981       Impact factor: 1.869

8.  Assessment of physical activity by questionnaire and interview.

Authors:  G G Reiff; H J Montoye; R D Remington; J A Napier; H L Metzner; F H Epstein
Journal:  J Sports Med Phys Fitness       Date:  1967-09       Impact factor: 1.637

9.  Social status, physical activity, and coronary proneness.

Authors:  J S Skinner; H Benson; J R McDonough; C G Hames
Journal:  J Chronic Dis       Date:  1966-07

10.  The relationship of blood pressure to blood glucose and physical leisure time activity. A study of hypertension in a survey of middle-aged subjects in Uppsala 1981-82.

Authors:  J Cederholm; L Wibell
Journal:  Acta Med Scand       Date:  1986
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  10 in total

Review 1.  Limits to the measurement of habitual physical activity by questionnaires.

Authors:  R J Shephard
Journal:  Br J Sports Med       Date:  2003-06       Impact factor: 13.800

Review 2.  Measurement of human energy expenditure, with particular reference to field studies: an historical perspective.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2011-12-11       Impact factor: 3.078

3.  Pedometer determined ambulatory activity and bone mass: a population-based longitudinal study in older adults.

Authors:  S Foley; S Quinn; G Jones
Journal:  Osteoporos Int       Date:  2009-12-09       Impact factor: 4.507

4.  Physical activity and neural correlates of aging: a combined TMS/fMRI study.

Authors:  Keith M McGregor; Zvinka Zlatar; Erin Kleim; Atchar Sudhyadhom; Andrew Bauer; Stephanie Phan; Lauren Seeds; Anastasia Ford; Todd M Manini; Keith D White; Jeffrey Kleim; Bruce Crosson
Journal:  Behav Brain Res       Date:  2011-04-01       Impact factor: 3.332

5.  Variations in resting energy expenditure: impact on gestational weight gain.

Authors:  E K Berggren; P O'Tierney-Ginn; S Lewis; L Presley; S Hauguel De-Mouzon; P M Catalano
Journal:  Am J Obstet Gynecol       Date:  2017-06-17       Impact factor: 8.661

6.  The association between self-reported physical activity and prevalence of depression and anxiety disorder in long-term survivors of testicular cancer and men in a general population sample.

Authors:  Lene Thorsen; Wenche Nystad; Hein Stigum; Olav Dahl; Olbjørn Klepp; Roy M Bremnes; Erik Wist; Sophie D Fosså
Journal:  Support Care Cancer       Date:  2005-03-09       Impact factor: 3.603

7.  A Survey of Physical Activity Levels of Certified Athletic Trainers.

Authors:  Marchell Cuppett; Richard W Latin
Journal:  J Athl Train       Date:  2002-09       Impact factor: 2.860

8.  Relationships between leisure-time energy expenditure and individual coping strategies for shift-work.

Authors:  S Fullick; C Grindey; B Edwards; C Morris; T Reilly; D Richardson; J Waterhouse; G Atkinson
Journal:  Ergonomics       Date:  2009-04       Impact factor: 2.778

9.  Preventing cardiovascular disease through community-based risk reduction: the Bootheel Heart Health Project.

Authors:  R C Brownson; C A Smith; M Pratt; N E Mack; J Jackson-Thompson; C G Dean; S Dabney; J C Wilkerson
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

10.  Aging, aerobic activity and interhemispheric communication.

Authors:  Keith M McGregor; Kenneth M Heilman; Joe R Nocera; Carolynn Patten; Todd M Manini; Bruce Crosson; Andrew J Butler
Journal:  Brain Sci       Date:  2012-11-16
  10 in total

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