Title: Perceptions of health across the lifespan
1Perceptions of health across the lifespan
2What prompted the survey?
- To examine how people view health across the
lifespan - Establish the feasibility of a database for
longitudinal study of health and perceptions of
health across the lifespan - Gain data to use in expanding a course on healthy
aging
3Data Collection
- Over 1000 respondents
- Not a random sample
- Online survey, took 5-10 minutes to complete
- No personal identifiers
- YMCA helped with recruitment
4Sample Descriptives
- Wide range of ages
- 20s 12
- 30s 21
- 40s 29
- 50s 28
- 60s 8
- 70s 2
- 73 female
- Highly educated 91 had at least some college
- 81 CA residents
- All participants have internet access
5Q1 Current health status
Very poor
Average
Excellent
6Nurture
Nature
7Perceived greatest influence on personal health
8Perceived greatest influence on longevity
9Behavioral Risk Factors
- Obesity/Overweight
- Feeling tense or anxious
- Feeling sad or depressed
- Smoking
- Not exercising
- Not eating enough fruits and vegetables
- Not limiting alcohol consumption
- Eating too much saturated fat
10Accounting for variance in current health status
55
11Accounting for variance in satisfaction with
current health
42
12Accounting for variance in amount of health
behaviors
51
13Accounting for variance in commitment to health
behaviors
40
14Accounting for variance in health status in 1
year
64
15Accounting for variance in health status in 5
years
53
16Accounting for variance in health status in 10
years
46
17Accounting for variance in health status in 20
years
40
18Accounting for variance in predicted age of dying
18
19Accounting for variance in number of chronic
conditions
32
20Age vs. risk factors
- Risk factors, as compared to age, accounts for
more variance in - Current health status
- Satisfaction with current health
- Amount of health behaviors
- Commitment to future health behaviors
- Predicted future health (in 1, 5, 10, and 20
years) - Predicted age of dying
- Age accounts for more variance only for number of
chronic conditions.
21Nature vs nurture
- 70 of respondents perceive lifestyle factors to
be the greatest influence on health. - Only half of the respondents perceive lifestyle
to be the greatest influence on longevity. - Genetics is perceived to have a greater influence
on longevity than health. - The data reveal that risk factors have a much
stronger relationship with most health variables
than does age. - The one exception is that age is most closely
associated with number of chronic conditions.
22Past, Current, and Future Health Status
23Predictors of Current Health Status
- Model accounts for 55 of variance in health
status - Variables associated with better current health
include - Better health status one year ago
- Engaging in health promotive behaviors
- Older predicted age of dying
- Fewer chronic diseases
- Higher income
We did not include satisfaction with current
health as a possible predictor.
24Predictors of health status in 10 years
- Model accounts for 46 of the variance in future
health ratings - Higher predicted future health is associated with
- Better current health
- High commitment to health promotive behaviors
- Older predicted age of dying
- Younger age
- Recognizing that lifestyle influences longevity
- Engaging in health promotive behaviors
- Higher educational level
25Predictors of health status in 20 years
- Model accounts for 40 of the variance in future
health ratings - Higher predicted future health is associated
with - Better current health
- Older predicted age of dying
- High commitment to health promotive behaviors
- Younger age
- Engaging in health promotive behaviors
- Higher educational level
26Q1 Current health status
Very poor
Average
Excellent
27Past, current, future health status, by decade
28Past, current, and future health status, by risk
factors
29Past, current, and future health status, by risk
factors
30Current vs. Predicted Future Health
20 yo
30 yo
20 yo
60 yo
50 yo
40 yo
30 yo
50 yo
40 yo
20s
60s
70s
50s
30s
40s
31Relationship among perceived health, risk
factors, and age
32Predictors of satisfaction with current health
- Model accounts for 42 of variance in
satisfaction - Variables associated with higher satisfaction
with current health include - Better health status one year ago
- Fewer behavioral risk factors
- Older predicted age of dying
- Engaging in health promotive behaviors
We did not include current health status as a
possible predictor.
33Health ratings, by decade
Ratings
34 who feel younger than their age, by decade
53
35 who feel younger than their age, by risk factor
53
36Q3 Satisfaction with Current Health
Not at all
Somewhat
Very
37Q1(Current Health) vs Q3 (Satisfaction with
Health)
38 who are more than somewhat satisfied with
health, by decade
62
39 who are more than somewhat satisfied with
health, by risk factor
62
40Relationship among perceived health, risk
factors, and age
- Respondents with fewer risk factors
- Rate their health as higher
- Were more likely to feel younger than their
chronological age - Were more likely to be satisfied with their
health - Perceptions of current health, and satisfaction
with current health, increase slightly with age. - Across all ages, health satisfaction is closely
tied to current health.
41Anxiety and Depression, by decade
Ratings
42Q4 Q5 Importance of health to career and life
goals
Importance to career
Importance to life goals
43Health behaviors
44Q9 Amount of health promotive actions
Nothing
Some
A lot
All possible actions
45Q10 Commitment to health behaviors in the next 6
months
Somewhat
Extremely
Not at all
46Q9 (Amount of health behaviors) vs Q10
(Commitment to health behaviors)
47Commitment to health behaviors
- There is a substantial positive correlation
between the extent to which individuals currently
practice health behaviors and their commitment
to practice health behaviors in the next six
months. - Thus, those who already engage in a healthy
lifestyle are more likely to continue, while
those not practicing health behaviors are less
likely to begin practicing them in the future.
48Reasons for health-promotive behaviors
49Reasons for health promotive behaviors, by gender
significant, p lt .05
50Select one behavior to change
Change career, drink more water, sleep more
51Risk factors and chronic conditions across the
decades
52Perceived health and health behaviors across the
decades
Ratings
53Trends across the decades
54Predicting age of dying
- Model accounts for 18 of the variance in future
health ratings - Higher predicted age of dying is associated with
- Higher perceived current health
- Fewer behavioral risk factors
55Predicted age of dying, by decade
56 of years you could add to your life by doing
health behaviors
57Predicted age of dying, by decade
58Question
- If respondents realize that they could add up to
25 years to their life by doing health promotive
behaviors, why arent they doing those health
promotive behaviors?
59Predictors of number of chronic diseases
- Model accounts for 32 of variance in chronic
conditions - Having a greater number of chronic diseases is
associated with - Older age
- Poorer self-rating of health
- Feeling sad or depressed
- Higher commitment to practicing health behaviors
60Number of chronic diseases, by decade
61Take Aways
62Number of chronic conditions does increase with
age
63Risk factors influence health more than do
chronic conditions
64Health behaviors influence health more than do
chronic conditions
65Risk factors have more influence on health than
does age
66Health behaviors influence health more than does
age
67Importance of risk factors
- Respondents with fewer risk factors have
- Higher perceived current health
- Higher perceived future health
- Higher satisfaction with current health
68Importance of health behaviors
- Respondents who engage in a healthier lifestyle
have - Higher perceived current health
- Higher perceived future health
- Higher satisfaction with current health
69Old age Poor health
70People have many motivators for a healthy
lifestyle
I want to manage my weight.
I want moreenergy forwork.
I want better health.
71Predictions about future health arent always
accurate
- Predictions about health in 30s and 40s were
overly optimistic. - Predictions about health in 50s, 60s, and 70s
were unduly pessimistic.
72How will you spend your old age?
OR