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Women and Physical Activity. Barbara Ainsworth Arizona State University. PA, Women, and Health. Physical Activity and Health Physical Activity Patterns Using Right Measurement Tools to Assess the Patterns. PA in Women and Disease Endpoints. Slides borrowed from Professor Wendy Brown.

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women and physical activity

Women and Physical Activity

Barbara Ainsworth

Arizona State University

pa women and health
PA, Women, and Health
  • Physical Activity and Health
  • Physical Activity Patterns
  • Using Right Measurement Tools to Assess the Patterns
pa in women and disease endpoints

PA in Women and Disease Endpoints

Slides borrowed from Professor Wendy Brown

slide4

Relative risk of cvd outcomes by approximate quintiles of physical activity

Meeting guidelines

1-3 hours/week moderate intensity PA

→ 20-30% reduction in risk of cvd or stroke

slide5

Relative risk of cvd outcomes by approximate quintiles of walking

Meeting guidelines

As little as ONE HOUR OF WALKING PER WEEK (3.2 – 4.8 km/h) is associated with RR reduction of 25-30% - meeting guidelines confers greater benefit .

conclusions
Conclusions
  • Inverse relationship between PA and primary prevention of cvd, diabetes, mental health, some cancers
  • Benefits related to volume of activity, not intensity
  • Brisk walking has significant health benefits
pa questions in prior studies
PA Questions in Prior Studies

3. Did you do sports and recreational activities in the past week?

If yes, identify:

Activity 1 _____________ day/wk _____ time/event ____ wk/yr ___

Activity 2 _____________ day/wk _____ time/event ____ wk/yr ___

slide9

Physical Activity

2000 BRFSS Prevalence of Walking

Adults > 18 Years Old

25-65 years old

slide10

Physical Activity

2001 BRFSS Prevalence of Regular PAfor Men & Women 18 - 90 Years Old

slide11

Physical Activity

2001 BRFSS Prevalence of Inactivity for Men & Women 18 - 90 Years Old

100

Men

90

Women

80

70

60

Prevalence (%)

50

40

30

20

10

0

18

22

26

30

34

38

42

46

50

54

58

62

66

70

74

78

82

86

90

Age (years)

are women really inactive as we are led to believe

Are women really inactive as we are led to believe?

Or are we not measuring well the activity they are doing?

slide15

17010

1

05050

4

5

13020

Daily Activity in 160 Minority Women

Min/day

health retirement study 1992 51 61 years n 5 116 women
Health & Retirement Study 1992 (51-61 years) N = 5,116 women

How often do you participate in light PA,

such as walking, dancing, gardening, golfing, etc?

LTPA

How often do you participate in vigorous exercise

or sports, such as running, swimming, or bicycling?

My job requires lots of physical effort, such as

lifting heavy loads, stooping, kneeling, or crouching?

OCC

How often do you do heavy housework

like scrubbing floors or washing windows?

HOUSE

He, X et al. J Gen Intern Med 2005;20:259-266

pa by race ethnicity 3 times week
PA by Race/Ethnicity(> 3 times/week)

%

He, X et al. J Gen Intern Med 2005;20:259-266

shanghai women s health study 1997 2000 40 70 yrs
Shanghai Women’s Health Study1997-2000 (40-70 yrs)

N = 74, 942

77% exercised in teen years (~ 2 hr/wk)

35.5% exercised in past 5 yrs

Tai Chi (79%)

Dancing (14%)

Walking (3.8%)

80% did non-exercise activities in past year

Jurj, et al. BMC Public Health 2007;7(213)

shanghai women s health study non exercise pa
Shanghai Women’s Health Study: Non-Exercise PA

%

84 flts/wk w 5.4 hr/wk 14 hr/wk w 10.5 hr/wk

c 4.5 hr/wk c 3.5 hr/wk

kaiser physical activity study n 2 636 mean age 42 3 11 yr
Kaiser Physical Activity Studyn = 2,636 (mean age 42.3 + 11 yr)

Sports & Exercise

Active Living

Occupational

Household/Care giving

Total PA

1 to 4 pt ordinal scale

All women answered

Each question

Sternfeld, B. et al. Prev. Med 1999; 28:313-323

odds of performing activities
Odds of Performing Activities

Sports/ExHouse/Care

Increased Age

Non white

< College

Kids < 5 yr

> 2

1

Inc BMI

No motivation

External obstacles

High social support

High self efficacy

Inc Age

Black

Asian

Latino

Employed

Children

2+

1

Married

Time const.

slide27

Multi-DomainQuestionnaires Available

  • Int’l PAQ – long
  • Global PAQ (GPAQ)
  • Typical Week PA Survey
  • Multiethnic Study of Atherosclerosis (MESA)
  • Modifiable PAQ
  • Kaiser PA Survey
  • CHAMPS
  • LTPA household supplement
slide28

Dilemma

  • More activities you ask about  more active people appear to be
  • Need complex scoring and data analysis programs
    • Caution when combining all PA’s for summary score as the light intensity cancels out the vigorous intensity
    • What is background PA and what is not?
    • Not assessing all dimensions in women
slide30

Assess Relevant PA Dimensions

  • American Time Use Data
    • 1 hour personal care
    • 3 hours home care, errands, shopping
    • 1-2 hours caring for others
    • 1 to 2 hours transportation
    • 7 hours work and school
    • 1 hour eating and drinking
    • 4 hour socializing and relaxing

From Sandi Ham

slide31

Report Data for each Questionnaire Domain

  • We will know the impact of varying domains of PA on various health outcomes
  • It will be helpful for intervention and dissemination studies
slide32

Collect, Analyze, & ReportData by Sex and Race/Ethnicity

Don’t adjust it out!

Plan your studies with sufficient power

(enough subjects & valid measures!)

to stratify by sex -- race/ethnicity --

… and, age, if possible

slide33

Thank

you

Acknowledgements

Sandi Ham, CDC

Wendy Brown, University of Queensland