Am J Clin Nutr-1982-Baecke-936-42.pdf

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    T he m er ica n Jou rna l o f lin ic a l N u trition 36: N OV EM BE R 1982 , p p 9 36 -94 2 . P rin ted in USA

    1982 Am erican Soc iety for C lin ica l N utr itio n

    A sho rt ques tio nna ire fo r th e m easu rem en t o f

    h ab itu a l phys ica l ac tiv ity in ep idem io log ica l

    s tudies

    Jos A H B a ecke , M Sc , Ja n B urem a , M Sc , a nd Ja n E R F r te rs ,3 P h D

    A BSTR AC T T he con stru ct val id i ty an d th e te st- re te st re liab ili ty o f a self-adm in is tere d que s-

    t ion naire abo ut h ab i tua l ph ysical act iv i ty w ere in ve stig ate d in yo ung m ales n 13 9 and fem ale s

    n

    167 i n th re e age gro up s 2 0 to 2 2 , 25 to 27 , and 30 to 3 2 yr in a D utch p opula tion . B y

    p rin cip al c om ponen ts an aly sis th re e concep tual ly m eanin gfu l fa cto rs w ere d ist ing u ished . T hey w ere

    in terpreted a s:

    I)

    phys ica l act iv ity a t w ork ;

    2)

    spo rt du ring le isu re tim e; and

    3)

    physical ac tiv ity

    d uring le isu re tim e exc lud ing sp ort . T e st- re te st show ed th at the reliab i lity o f the th ree ind ices

    cons tru cte d from th ese facto rs w as adequ ate . Fur the r, it w as foun d tha t leve l o f edu cat ion w as

    in versely rela ted to the w o rk index , and po sit ive ly re la te d to th e le isu re- tim e ind ex in bo th sex es.

    T he sub jective ex per ien ce o f w ork load w as n ot re la ted to the w o rk index , bu t w a s inv ersely re la ted

    to the sp ort in dex , a nd th e leisure-tim e ind ex in b oth sexe s. Th e lean body m ass w as p osi tive ly

    re la te d to the w ork index , and th e sp ort in dex in m ales, bu t w a s not re la te d to th e leisure -tim e

    ind ex in ei the r sex . Th ese d if ferenc es in th e re la t ion sh ips su pport the sub div ision of h ab itua l

    ph ys ical ac tiv ity in to th e three com ponen ts m entio ned ab ov e.

    Am J

    l in N u tr 1982:36 :936-942 .

    K EY W O RD S H ab itua l p hys ica l activ ity , sub ject ive exp erienc e o f w o rk load , le an b ody m ass

    In troduct ion

    M easu rem en t o f p hysica l ac tiv ity is o ften

    fo und to be im po rtan t in re sea rch ab ou t

    hea lth , e spec ia lly in the a rea o f ca rd io vascu -

    la r d isea se an d obesity . The accu racy in as-

    se ssing en ergy exp en d itu re b y bo th d irec t and

    ind irec t ca lo r im e try techn iques is goo d , b u t

    the se labo ra to ry tech n iqu es are n o t ap p lica-

    b le to la rge sca le ep idem iobog ical s tu d ie s .

    T he re a re va rio us m e tho ds fo r m easu ring

    phy sical ac tiv ity in large r sca le ep id em io log -

    ica l s tud ie s . B ody m ov em en t can be m easu red

    w ith pedom ete rs , bu t th is m e thod has lim i-

    tatio ns as it on ly m easu res ce rta in ty pes o f

    mov emen t

    (

    1 . T w o fu rth er techn iques a re

    m on ito r ing hea rt ra te w ith a portab le heart

    ra te reco rde r 1 , 2 an d th e use o f an ac tiv ity

    d ia ry in w hich th e sub jec ts reco rd the ir activ -

    ities 1 . W ith all th ree m e tho ds, in fo rm a tion

    is on ly co llected fo r a re la tive ly short pe rio d

    of tim e and th e lon g-te rm pa tte rn o f h ab itua l

    phy sical ac tiv ity o f the ind iv idu al is no t m eas-

    u red . In stu dy in g th e re latio nsh ip b etw een

    phy sical ac tiv ity an d health , it is necessary to

    co nsid er no t on ly the to ta l ene rgy exp en d itu re

    d uring a ce rtain day or w eek , b u t a lso to

    93 6

    co nsid er the pa tte rn o f hab itua l phy sical ac -

    tiv ity ov er a lon ge r p e riod .

    Q uestion na ire s deve lop ed to m easu re ha -

    b itua l p hys ica l ac tiv ity a t w ork and during

    leisu re tim e have been u sed in observa tion al

    stud ie s , su ch as the F ram in gham S tu dy 3

    an d the Tecum seh C om m unity H ealth S tud y

    4 . A questio nna ire w as a lso d eve loped to

    as ses s hab itua l ph ysica l activ ity o n ly during

    leisu re tim e by T ay lo r e t a l (5 ) . The th ree

    questio nna ire s , w h ich w ere n o t d esigned to

    b e se lf-adm in iste red , m easu red h ab itua l

    phy sical activ ity in te rm s of th e usua l tim e

    spen t in va rio us ty pes o f ac tiv ity . T h is w as

    then m ultip lied by the en ergy expen d itu re

    pe r un it o f tim e o f th e ac tiv ity . Th e va lues

    fo r the in tensity o f the ac tiv itie s w ere d erived

    F rom th e D epa rtm en t o f H um an Nu trit ion , A g ri-

    cu ltu ral U niv ers ity , D c D rei jen 12 , 670 3 BC W agen in-

    gen , Th e N ether land s.

    Suppo rted b y a gran t f rom the P ra even tiefo nds ,

    F ran ckenstraa t 3 , 25 82 SC s-G raven hag e, T he N ether -

    lands.

    A uthor to w hom requ ests fo r repr in ts sho uld be

    addressed .

    R eceiv ed D ecem ber 2 4 , 198 1 .

    A ccep ted fo r pub lica tio n M ay 12 , 19 82 .

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    M EA SU REM EN T OF H A B I T U A L PH Y SI CA L A CT IV IT Y

    937

    f rom data in the l i terature. In the H eal th

    Insurance Plan Study , a sel f -adm inistered

    questionnai re containing 10 i tem s about oc-

    cupational and lei sure-time physical acti v i ty

    w as used (6). T he scores w ere calculated w i th-

    out the use of intensi ti es for the di f ferent

    types of acti vi ti es.

    T o the authors know ledge, the rel i abi l i ty

    of the questionnaires m entioned above has

    not been tested. Cri ter i on-oriented val i dati on

    (concurrent val i dati on) i s not possible be-

    cause a val i d ref erence m ethod that m easures

    habi tual physical acti v i ty independentl y , does

    not ex i st. T heref ore, some investigators hav e

    studied the relati onship betw een the assessed

    habi tual physical acti v i ty and another param-

    eter that i s assum ed to be related to habi tual

    phy sical acti v i ty , eg, physical w ork capaci ty

    (5). I t i s of i nterest to study the construct

    val i di ty of the questionnai re (7), especial l y

    w hen a completel y val i d cr i teri on i s not av ai l -

    able. T his impl ies that an adequate investi -

    gati on encompasses the study of subdiv i sion

    of phy sical acti v i ty into more speci f i c group-

    ings of acti v i ti es. U nti l now tw o dimensions

    of habi tual physical acti v i ty have been disti n-

    guished, namely , occupational and lei sure-

    time physical acti v i ty . H ow ever, i t m ay be

    possible to disti nguish more or other dimen-

    sions, w hich are important to the descr ipti on

    of the pattern of habi tual physical acti v i ty .

    T he purpose of the present study in young

    adul ts i s f i rst, to inv estigate the construct

    val i di ty of a sel f -adm inistered questionnai re

    about habi tual physical acti v i ty and to estab-

    l i sh meaningful i ndi ces of physical acti v i ty ,

    second, to estim ate the test-retest rel i abi l i ty

    of the questionnai re, and thi rd, to inv estigate

    the relati onship betw een the indices of phy s-

    i cal acti v i ty and age, level of education, sub-

    jecti ve ex perience of w ork load, and lean

    body mass.

    M ethods

    opu l a t i o n

    I n the f i rst part of 1980 a study w as carried out in the

    M unici pal i ty of Ede i n T he N etherlands in w hi ch al l the

    i nhabi tants in three age groups (19 to 21, 24 to 26, and

    29 to 31 yr as of January 1, 1980) w ere inv i ted to

    par ti ci pate (8). T hei r addresses w ere obtained f rom the

    Civ i l R egistrati on O f f i ce in Ede. A l l the parti cipants

    f rom three secti ons of the m unicipal i ty , w i th a distribu-

    tion of sex , age, and l evel of education com parabl e w i th

    the total study populat ion, w ere inv i ted agai n i n N ovem-

    ber 1980 to par ti ci pate in the present study . Com plete

    i nform ation w as obtai ned f rom 309 subjects, represent-

    in g

    70

    of al l i nv i ted subjects. W om en, pregnant f or 3

    m onths or longer (n 3), w ere ex cluded f rom further

    analyses.

    r o c e d u r e

    A l l subjects w ere inv i ted by m ai l to com plete the

    questionnai re at hom e and then to v isi t a m obi le research

    uni t that w as stat ioned i n each section of the m unici pal i ty

    f or 7 days. T he questionnai re w as check ed for complete-

    ness and the anthropometri c m easurem ents w ere m ade

    at the mobi l e research uni t. B ody w ei ght and body height

    w i thout shoes and jack et w ere m easured to the nearest

    0. 1 kg and 0. 1 cm , respecti vel y . B iceps, tri ceps, suprai l i ac,

    and subscapular sk infold thick nesses w ere measured,

    according to D urnin and Raham an (9), tw ice on the lef t

    si de of the body to the nearest 0.2 m m usi ng a H ol tain

    sk inf old cal iper. B ody fat w as calculated as a percentage

    of total body w eight (B F ) f rom the average sum of the

    four sk infol d thi cknesses, usi ng l i near regression equa-

    ti ons for 20- to 29-y r-ol d m al es and fem al es (10). L ean

    body mass (L B M ) w as calculated f rom total body w eight

    (W ) and B F [L B M

    W ( l O O

    -

    BF ) /100].

    A pprox im atel y 3 months af ter this exami nat ion, the

    par ti ci pants w ere v i si ted at hom e and requested again to

    complete the quest ionnai re on habi tual physi cal act i v i ty

    so that the test- retest rel iabi l i ty could be studi ed. T he

    v i si t w as part ofa food consum ption study i n w hich 90

    (n 277) of al l subjects parti cipated.

    Qu e s t i o n n a i r e

    U sing a questionnai re, inf ormation w as col lected on

    the l evel of education, subj ecti ve ex per ience of w ork

    load, and habi tual physical act i v i ty . T he present subdi -

    v ision of education into three level s has been descri bed

    elsew here (8) . Subjecti ve experience of w ork load w as

    measured by means of an ex isting D utch quest ionnai re

    (SEW L ) dev i sed by losten (I 1). T his questi onnai re con-

    sists of 53 i tems ref err ing to dai l y acti v i t i es. I t contai ns

    a dichotom ous response format; a subject experiences a

    certai n acti v i ty ei ther as physical l y strenuous or not. T his

    response scale is di f f erent f rom the B org s percei ved

    ex erti on rating scal e ( 12) ; how ever, i t m ay be assum ed

    that both scales are related to the identi cal concept.

    T he original questionnai re on habi tual phy sical act i v -

    i ty consisted of 29 i tem s concerning the fol low ing f i ve

    com ponents: occupation, movem ent, sport, leisure tim e

    act i v i t i es excl udi ng sport, and sl eeping habi ts. A l l re-

    sponses w ere precoded on f iv e-point scales w i th the

    ex ception of the questions on the nam e of m ain occu-

    pat ion and the types of sport played. T hree lev els of

    occupati onal phy sical acti v i ty w ere def ined accordi ng to

    T he N ether lands N utr i ti on Counci l (13): the l ow lev el

    f or occupations such as, cleri cal w ork , dri v ing, shopkeep-

    i ng, teaching, study ing, housew ork , medical pract i ce, and

    al l other occupations w i th a universi ty educat ion; the

    mi ddl e level f or occupations such as, f actory w ork ,

    plumbing,

    carpentry,

    and farm i ng: and the high level f or

    occupati ons such as, dock w ork , construct ion w ork , and

    sport.

    Spor ts w ere subdi v ided into three l evels of physical

    act i v i ty accordi ng to D urnin and Passm ore (14); the low

    lev el f or sports such as, bi l l i ards, sai l i ng, bow l i ng, and

    gol f (average energy ex pendi ture 0.76 M I /h); the m iddle

    lev el f or sports such as, badmi nton, cycl ing, dancing,

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    T A B L E 2

    M ean body w ei ght , body hei ght, and percentage

    of body fat in males and females

    938

    B A ECK E ET A L

    sw im mi ng, and tenni s (average energy expendi ture 1.26

    MI /h ) ;

    and the high level f or sports such as, box i ng,

    bask etbal l , f ootbal l , rugby , and row i ng (average energy

    ex pendi ture 1.76 M I /h). A sport score w as calculated

    f rom a com bi nat ion of the intensi ty of the sport w hich

    w as played, the am ount of tim e per w eek play ing that

    sport,

    and the proportion of the year in w hich the sport

    w as played regularl y (see A ppendix ).

    S ta tis tic al m e th od s

    Pri ncipal -com ponents analysis w i th quarti max rota-

    t ion (15 ) w as used to f i nd m eaningful under ly ing dim en-

    sions of habi tual physi cal acti v i ty . O nly factors w i th

    Ei genval ues greater than 1 .0 w ere retai ned for the f inal

    rotated soluti on. I ndices of phy sical act i v i ty w ere con-

    structed f rom the underl y ing concepts by com bi ning the

    var iables w i th high loadi ngs ( 0.50) on the factor in

    questi on as descr ibed i n the A ppendix . W i th a second

    method, f actor scores of separate one- factor solutions of

    the appropriate set of v ariables w ere calculated. Final l y

    the f i rst method was chosen because i t w as the si mplest

    and the cor relation betw een the tw o m ethods w as hi gh

    for al l i ndices ( r

    >

    0.95).

    Product-moment correl ation-coef f i cients w ere calcu-

    hated in order to study the test-retest rel iabi l i ty , and f or

    the determ inat ion of the relat ionships betw een the m di -

    ces of phy sical acti v i ty and age, l evel of educat ion, and

    SEW L . M ul tip le regression analy sis

    was

    used to study

    the relat ionshi p betw een L B M and the i ndi ces of phy sical

    acti v i ty , w i th adjustm ents for body height and percentage

    of body fat bei ng made by addi ng these variables sim ul -

    taneously in the analy sis.

    Results

    T able 1 show s the f requency distr i buti on

    of age and lev el of education in the present

    study populati on. T here w ere a reasonable

    number of subjects in each age group and

    each level of education in both sexes. T able

    2 show s the mean and SD of body w eight,

    body height, and percentage of body fat. T he

    distri buti on of the percentage of body f at i n

    m ales and body w eight in f em ales w ere sig-

    ni f i cantl y skew ed to the r ight, but other meas-

    T A B L E 1

    Frequency di stri but ion of age and l evel of

    educati on i n m ales and f em ales

    Variab le

    Males

    n - 39

    emales

    n - 67

    A ge (y r)

    20-22

    38.1

    35.9

    25-27

    35.3

    31.1

    30-32

    26.6

    32.9

    L ev el of education

    L ow

    18.0

    25.7

    Midd le

    48.2

    52.1

    H igh

    33.8

    22.2

    M ales Fem ales

    Meas u r em en t

    (n

    -

    39) (n

    =

    67)

    m n S m e a n S

    B ody w t ( k g) 76.9 10.1 62.5 8.3

    B ody ht (cm) 180.5 7.2 167.3 5.6

    B ody fat ( ) 17.0 4.5 27.3 5.0

    T A B L E 3

    Factor-l oading m atr i x of the i tem s about

    phy sical acti v i ty ; com bi ned resul ts of

    m al es (n

    =

    139) and f emales (n

    =

    167)

    Factor

    I t e m

    I

    2 3

    1 0 . 7 4 -0.08 -0.08

    2

    -0 .85

    0.05 -0.01

    3

    0 .80

    -0.02 0.01

    4

    0 .81

    -0.06 -0.02

    5 0 .8 3

    0.02 -0.01

    6

    0 .59

    -0.23 0.10

    7

    0 .57

    0.04 -0.09

    8

    0 . 71

    0.04 -0.05

    9 -0.09

    0 .86

    -0.09

    1 0.04

    0 . 78

    0.23

    11 -0.13

    0 .59

    0.18

    12 -0.12 0 .87 -0.06

    13 0.15 -0.10

    -0 .52

    14 -0.02 -0.09

    0 .72

    15 -0.03 0.15 0 .79

    16 0.03 0.04

    0 .50

    Explained v ariation

    ( )t

    See A ppendix for the i tems.

    t

    A f ter ro tati on.

    28.0 16.0 11.1

    urem ents w ere approx imatel y normal l y di s-

    tributed.

    T hi r teen of the original 29 i tems about

    habi tual phy sical activ i ty w ere ex cluded, be-

    cause of a bimodal di stri buti on of responses,

    or because the i tem s did not hav e a high

    loading on one speci f i c f actor. T able 3 con-

    tains the factor- l oading matr i x of the 16 re-

    maining i tems. D ata on males and females

    w ere pooled because the sex-speci f i c matri ces

    show ed a sim i lar pattern. I tems 1 to 8 had

    high loadings on the f i rst factor. B ecause

    these i tems w ere concerned w i th occupational

    phy sical acti v i ty , the f i rst factor may be in-

    terpreted as a dimension of phy sical acti v i ty

    at w ork . T he second f actor i s indi cati ve of

    sport during lei sure time, because i tems 9 and

    12 w hich w ere concerned w i th sport had high

    loadings on thi s f actor. I t appeared that i tem

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    T A B L E 4

    M ean scores of the indices of phy sical acti v i ty

    in mal es and females

    m ales and fem ales

    M EA SU REM EN T O F H A B I T U A L PH Y SICA L A C T IV IT Y

    939

    I n d e x

    Ma l e s

    n - 1 3 9

    F e ma l e s

    n

    =

    6 7 p

    mean S mean S

    Wor k

    2.6 0. 1 2.9 0.0

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    940

    cal acti v i ty w hich w ere studied. T he f i rst

    factor consisted of aspects of occupational

    phy sical acti v i ty (i tems 1 to 8). A s al l occu-

    pations have been precoded according to

    three lev els of physical acti v i ty , i tem 1 giv es

    an objecti ve measure of phy sical acti v i ty at

    w ork . H ow ever, thi s measure has the disad-

    vantage that a parti cular occupation i s alw ays

    classi f i ed in the same w ay and therefore in-

    ter i ndi v idual v ar iabi l i ty i n phy sical acti v i ty

    w i thin a certain occupation i s not taken into

    account. T he m easurement of phy sical acti v -

    i ty at w ork can be improved w i th the addi ti on

    of i tems 2 to 8 concerning sel f -assessm ent of

    phy sical acti v i ty . I t has been show n that sel f -

    assessment of phy sical acti v i ty paral l el s the

    scores of actual phy sical acti v i ty reasonably

    w el l (16).

    T he second f actor can be interpreted as

    sport during lei sure time. I tems 10 and 11

    concerning habi tual physical acti v i ty during

    lei sure time in general w ere related to sport.

    T his f i nding suggests that people connect

    physical acti v i ty dur ing lei sure time m ainl y

    w i th play ing sport. B ul l en et al (17), w ho

    measured physical acti v i ty by observation,

    show ed that there i s inter indi v idual variabi l -

    i ty i n the energy expendi ture w i thin certain

    types of sport. I t can be suggested that thi s

    inter indi v idual v ar iabi l i ty i s partl y taken into

    account by i tem s 10 and 1 1

    I n addi ti on to

    sport i n lei sure tim e, another dimension of

    physical acti v i ty in lei sure time could be dis-

    ti nguished. T his relates to w atching telev i -

    sion, w alk ing, and cycl i ng during lei sure tim e

    in general , and the time spent w alk ing and/

    or cycl i ng per day to and f rom w ork , school

    and shopping, in parti cular.

    T he test-retest rel i abi l i ty of the indices of

    phy sical acti v i ty , measured w ith an interval

    of 3 m onths, being betw een 0.80 and 0.90 f or

    the w ork index and sport i ndex , and 0.74 f or

    the lei sure-time index , make the question-

    nai re usef ul .

    T he f inding, that the lev el of education w as

    inv ersely related to the w ork index , and pos-

    i ti vel y related to the lei sure-time index , i s in

    accordance w i th the resul ts of the O slo Study

    (18). T he sport i ndex also tended to be posi -

    ti vel y related to the lev el of education, but

    thi s w as only signi f i cant in females. T he in-

    verse relati onship observ ed betw een SEW L

    and the sport i ndex and lei sure-time index ,

    B A EC K E ET A L

    w hi le SEW L w as not related to the w ork

    index , may be explained by the fact that there

    i s more f reedom of choice in the selecti on of

    acti v i ti es during lei sure time than at w ork .

    People w ho have a high SEW L tend to choose

    more sedentary acti v i ti es dur ing lei sure tim e

    than people w i th a low SEW L .

    L B M w as chosen as a parameter of body

    com posi ti on because there i s supposed to be

    a relati onship betw een L B M and physical

    acti v i ty . H ow ever, i n analyzing the relati on-

    ship betw een L B M and the indices of phy sical

    acti v i ty , adjustments f or body height and the

    percentage of body fat should be made. T he

    ef fects of the percentage of body fat may be

    especial l y conf using since the relati onship of

    body f at to L B M is assumed to be posi ti v e

    19, 20), w hereas the relati onship of body fat

    to phy sical acti v i ty may be negati v e. T he

    adjusted posi ti ve relati onship betw een L B M

    and the w ork index and the sport i ndex in

    males i s in accordance w i th the posi ti v e re-

    lati onship betw een L B M and physical acti v -

    i ty observed by others (2 1-23). T he lei sure-

    time index w as not related to L B M , w hich

    may indicate that the intensi ti es of the acti v -

    i ti es dur ing lei sure-tim e are too low to af fect

    L B M . T he independence of physical acti v i ty

    and L B M observed in females may also be

    ex plained in the sam e w ay.

    I n summary , i t w as concluded that habi tual

    phy sical acti v i ty encompassed three disti nct

    dim ensions. T hese w ere physical acti v i ty at

    w ork , sport dur ing lei sure-tim e, and other

    physical acti v i ty during lei sure-time. T he in-

    di ces of physical acti v i ty deri v ed f rom these

    dimensions w ere rel i able. T he di f f erences in

    the relati onships betw een the three indices of

    physical acti v i ty on one side and level of

    education, SEW L , and L B M on the other

    side, em phasize the need to disti nguish the

    three dimensions. T heref ore, the present

    study suggests that habi tual phy sical acti v i ty

    can be determ ined w hen these three f actors

    are measured and included in the assessm ent.

    T he authors thank the L ocal Governm ent Of f i ce and

    the Ci v i l Registrati on O f f i ce i n Ede for assistance in the

    preparati on of the study population; and al l the people

    w ho parti cipated in the study . T he authors also thank K

    B aerends-B os, P D eurenberg, Y van

    Erp, R

    Hoogkamer-

    W ei jm an, W K nuim an-H i j l , E O ostenhav en-Rappard,

    W van der W iel -W etzels, B Schol te, and H W est for

    technical assi stance w i th the study .

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    M EA SU REM EN T O F H A B I T U A L PH Y SI CA L A CT IV I T Y

    941

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