Jump to content
RemedySpot.com

Re: BMI & Longevity

Rate this topic


Guest guest

Recommended Posts

The numbers were sent to me to show there were those over 75 who were obese,

So, I looked more into it last nite and this is what I found out..

The post I was sent, (and my reply) said...

" " There are very sigificant numbers of overweight and obese people who do live

into their

70's and 80's.

and not doing very well at all.

The information is based on telephone surveys and self reported data.

Form the actual report...

http://www.publichealthreports.org/userfiles/119_3/119356.pdf

" We analyzed data from the BRFSS for all 50 states and the District of Columbia.

The BRFSS is a cross-sectional telephone survey conducted by state health

departments with assistance from the Centers for Disease Control and Prevention

(CDC). Questions on the BRFSS questionnaire are used primarily to monitor

personal behaviors that increase risk of death. The BRFSS uses a multistage

cluster design based on random-digit dialing to select a representative sample

from each state's adult noninstitutionalized civilian residents aged 18 years or

older. State data are pooled to produce nationally representative estimates.

The report actually concluded...

" Although older Americans appear to be living more healthfully now, their higher

rates of obesity, high blood pressure, and diabetes are not good signs; perhaps

these rates can be tied to the higher rates we found for days of poor physical

and mental health.7

So, I next looked up the actual questionairres they used which you can find

here to see how they asked the questions...

http://www.cdc.gov/brfss/questionnaires/pdf-ques/2000brfss.pdf

To determine BMI, the phone survey asked ...

10.13. About how much do you weigh without shoes?

Weight

pounds

Don't know/Not sure

Refused

10.14. About how tall are you without shoes? (166-168)

Height /ft/inches

Don't know/Not sure

Refused

I next went to reference 7 which was referenced for the above comment about the

higher rates of obesity not being a good sign

...

7. Ford ES, Moriarty DG, Zack MM, Mokdad AH, Chapman DP. Self-reported body mass

index and healthrelated quality of life: findings from the Behavioral Risk

Factor Surveillance System. Obes Res 2001;9:21-31.

we all can read the full text here

http://www.obesityresearch.org/cgi/content/full/9/1/21

Instead of highlighting one or two sentences, I though the information was

valuable, so I am copying the final discussion. All mentioned references can be

found at the above link.

Discussion: In the largest study yet to examine the relationship between

self-reported BMI and health-related quality of life, our results are consistent

with findings from previous studies that have shown that overweight and obese

persons have a worse health-related quality of life (2) (6) (7) (8) (9) (10)

(11) (12) (13) . Our results extend previous findings by showing that the direct

associations between excess weight and worse health-related quality of life

include all adult age groups, both sexes, and whites, African Americans, and

Hispanics. Because we combined representative samples from each of the 50

states, the results of our investigation are generalizable to the U.S.

population (31) .

In the Swedish Obese Subjects Intervention study, 1743 obese participants had

diminished mental well-being and psychosocial functioning compared with 89

healthy reference participants (6) . Overweight and obesity were positively

associated with physical impairment (defined as an inability to run a short

distance, enter a bus without problems, or take a short walk), reduced mobility,

back pain, and severe pain in hands and legs in a representative sample of

12,988 men and 13,414 women from Sweden (7) .

Using the SF-36 questionnaire, other investigators have found that health and

health-related quality of life worsened as BMI or waist circumference increased

(8) (9) (11) (12) (13) . Data from the Monitoring Cardiovascular Health (MORGEN)

study in the Netherlands showed that physical functioning and bodily pain were

significantly associated with increased BMI among 1885 men and 2156 women (11) .

In a reanalysis of these data, these associations were similar using BMI

categories adopted by the National Institutes of Health and the World Health

Organization (13) . Among 56,510 participants of the Nurses' Health Study, four

scales of a modified version of the SF-36 questionnaire (i.e., physical

functioning, vitality, bodily pain, and role functioning) were significantly and

inversely related to self-reported BMI (8) . In the Whitehall II study, poor

physical functioning increased monotonically as BMI increased in 2412 women,

whereas poor physical functioning was increased only in 5449 men whose BMI was

>=27 kg/m2 (12) .

In our study, the number of poor physical health days during the previous 30

days (physical functioning) appeared more strongly related to self-reported BMI

than the number of days of poor mental health during the previous 30 days

(mental functioning). Although the MORGEN researchers found no association

between BMI and the mental health components of the SF-36 (9) , we did find a

significant association between BMI and the risk of having >=14 unhealthy mental

days during the previous 30 days.

That many obese persons experience a diminished health-related quality of life

is not surprising. Obese persons are more likely than persons who are not obese

to suffer from low self-esteem and depression and to experience poor peer

relationships (2) (10) . Prejudice and discrimination directed at obese persons

are ubiquitous in U.S. society (32) . Many conditions for which obesity

increases risk, such as type 2 diabetes and cardiovascular disease, also

decrease health-related quality of life (33) (34) . Furthermore, in at least two

prospective studies, overweight persons had an increased risk of disability (35)

(36) .

The increase in unhealthy days among lean respondents is more difficult to

explain. Health-related quality of life among very lean persons has not been

studied extensively (7) . The increased mean number of unhealthy days in such

respondents agrees with numerous studies showing increased all-cause mortality

at lower BMIs (5) . Consistent with previous findings (37) , we found low

self-reported BMI to be significantly associated with female gender, a risk

factor for anorexia nervosa (38) , and linked to greater weight loss goals when

dieting (39) . Lean respondents are likely to be very heterogeneous and include

healthy persons who either diet or exercise a lot, persons with eating

disorders, and clinically or subclinically sick persons. Such respondents are

also more likely to smoke than others. The shape of the relationship between

self-reported BMI and the number of unhealthy days (physical or mental) among

persons who had never smoked resembled that for the entire analytic sample (data

not shown). Unfortunately, the BRFSS does not include information needed to

distinguish subgroups (except for current smokers) within lean respondents.

Similar to many previous studies, our study was cross-sectional. Such a design

provides a snapshot of the burden of adverse effects experienced by obese or

very lean persons but does not allow conclusions about cause and effect. Thus,

although obesity may reduce quality of life, poor quality of life may be due to

other factors that led to weight gain. Because weight and height were

self-reported in our study, misclassification may have affected our results.

Obese persons are more likely to underreport their weights and over-report their

heights than are persons who are not obese (thus decreasing calculated BMI), and

men are more likely to over-report their heights than are women (4) .

Reliability studies of the BRFSS questionnaires in various settings have

reported {kappa} coefficients of 0.77 to 0.96 for BMI and categories of

overweight or obese (41) (42) (43) and correlation coefficients of 0.84 to 0.94

for height, weight, and BMI (44) . Validity studies of the BRFSS have shown

sensitivities of 0.74 to 0.77 and a specificity of 0.99 for obesity (45) (46) .

Correlation coefficients for self-reported height and BMI were 0.94 and 0.96,

respectively (45) . The prevalence of obesity from a BRFSS survey was ~45% less

than that from the Five-City Project Survey (47) . If little or no

misclassification of the reference category occurred, the likely result of

misclassification would be relatively accurate ORs for the lowest and highest

BMI classes but increased ORs for the intermediate classes. Telephone coverage

bias is not likely to have affected these results, because a high proportion of

U.S. residents own telephones. The mean BMI for participants with a telephone in

the Third National Health and Nutrition Examination Survey resembled that of

those without a telephone (48) . However, for subgroups of the U.S. population

with low telephone coverage, the associations between BMI and quality of life

measurements may differ from those described in this article.

In conclusion, this is the largest study to have examined health-related quality

of life measures related to self-reported BMI. Our results agree with previous

studies and show that health-related quality of life diminishes as BMI increases

or decreases from the normal range. With the increasing prevalence of obesity

becoming recognized as a public health crisis (49) , our results may be useful

in better monitoring the full impact of this health condition and its economic

consequences. Health-related quality of life measures from population-based

studies such as the BRFSS may provide insights into health perceptions that may

affect the efforts of individuals to maintain or change their weight.

Regards

Jeff

Link to comment
Share on other sites

Hi Jeff:

Most of the charts in the study you linked show that the number of

unhealthy days per month is minimized at a BMI of around 24. Both

higher **and lower** BMIs are associated with more unhealthy days per

month.

As regards the rise in unhealthy days at low BMIs, of course sickness

may in many cases be the cause of the low BMI. Rather than the low

BMI being the cause of the sickness. So if we have a low BMI and are

not sick ............

But they didn't have a chart to show the number of unhealthy days per

month for wackos eating 800 calories a day. A serious omission, you

might agree ; ^ )))

Rodney.

--- In , " Jeff Novick " <jnovick@p...>

wrote:

> The numbers were sent to me to show there were those over 75 who

were obese,

>

> So, I looked more into it last nite and this is what I found out..

>

> The post I was sent, (and my reply) said...

>

> " " There are very sigificant numbers of overweight and obese people

who do live into their

> 70's and 80's.

>

> and not doing very well at all.

>

> The information is based on telephone surveys and self reported

data.

>

> Form the actual report...

>

> http://www.publichealthreports.org/userfiles/119_3/119356.pdf

>

> " We analyzed data from the BRFSS for all 50 states and the District

of Columbia. The BRFSS is a cross-sectional telephone survey

conducted by state health departments with assistance from the

Centers for Disease Control and Prevention (CDC). Questions on the

BRFSS questionnaire are used primarily to monitor personal behaviors

that increase risk of death. The BRFSS uses a multistage cluster

design based on random-digit dialing to select a representative

sample from each state's adult noninstitutionalized civilian

residents aged 18 years or older. State data are pooled to produce

nationally representative estimates.

>

> The report actually concluded...

>

> " Although older Americans appear to be living more healthfully now,

their higher rates of obesity, high blood pressure, and diabetes are

not good signs; perhaps these rates can be tied to the higher rates

we found for days of poor physical and mental health.7

>

> So, I next looked up the actual questionairres they used which you

can find here to see how they asked the questions...

>

> http://www.cdc.gov/brfss/questionnaires/pdf-ques/2000brfss.pdf

>

> To determine BMI, the phone survey asked ...

>

> 10.13. About how much do you weigh without shoes?

>

> Weight

>

> pounds

>

> Don't know/Not sure

>

> Refused

>

> 10.14. About how tall are you without shoes? (166-168)

>

> Height /ft/inches

>

> Don't know/Not sure

>

> Refused

>

>

> I next went to reference 7 which was referenced for the above

comment about the higher rates of obesity not being a good sign

> ..

> 7. Ford ES, Moriarty DG, Zack MM, Mokdad AH, Chapman DP. Self-

reported body mass index and healthrelated quality of life: findings

from the Behavioral Risk Factor Surveillance System. Obes Res

2001;9:21-31.

>

> we all can read the full text here

>

> http://www.obesityresearch.org/cgi/content/full/9/1/21

>

> Instead of highlighting one or two sentences, I though the

information was valuable, so I am copying the final discussion. All

mentioned references can be found at the above link.

>

> Discussion: In the largest study yet to examine the relationship

between self-reported BMI and health-related quality of life, our

results are consistent with findings from previous studies that have

shown that overweight and obese persons have a worse health-related

quality of life (2) (6) (7) (8) (9) (10) (11) (12) (13) . Our results

extend previous findings by showing that the direct associations

between excess weight and worse health-related quality of life

include all adult age groups, both sexes, and whites, African

Americans, and Hispanics. Because we combined representative samples

from each of the 50 states, the results of our investigation are

generalizable to the U.S. population (31) .

>

> In the Swedish Obese Subjects Intervention study, 1743 obese

participants had diminished mental well-being and psychosocial

functioning compared with 89 healthy reference participants (6) .

Overweight and obesity were positively associated with physical

impairment (defined as an inability to run a short distance, enter a

bus without problems, or take a short walk), reduced mobility, back

pain, and severe pain in hands and legs in a representative sample of

12,988 men and 13,414 women from Sweden (7) .

>

> Using the SF-36 questionnaire, other investigators have found that

health and health-related quality of life worsened as BMI or waist

circumference increased (8) (9) (11) (12) (13) . Data from the

Monitoring Cardiovascular Health (MORGEN) study in the Netherlands

showed that physical functioning and bodily pain were significantly

associated with increased BMI among 1885 men and 2156 women (11) . In

a reanalysis of these data, these associations were similar using BMI

categories adopted by the National Institutes of Health and the World

Health Organization (13) . Among 56,510 participants of the Nurses'

Health Study, four scales of a modified version of the SF-36

questionnaire (i.e., physical functioning, vitality, bodily pain, and

role functioning) were significantly and inversely related to self-

reported BMI (8) . In the Whitehall II study, poor physical

functioning increased monotonically as BMI increased in 2412 women,

whereas poor physical functioning was increased only in 5449 men

whose BMI was >=27 kg/m2 (12) .

>

> In our study, the number of poor physical health days during the

previous 30 days (physical functioning) appeared more strongly

related to self-reported BMI than the number of days of poor mental

health during the previous 30 days (mental functioning). Although the

MORGEN researchers found no association between BMI and the mental

health components of the SF-36 (9) , we did find a significant

association between BMI and the risk of having >=14 unhealthy mental

days during the previous 30 days.

>

> That many obese persons experience a diminished health-related

quality of life is not surprising. Obese persons are more likely than

persons who are not obese to suffer from low self-esteem and

depression and to experience poor peer relationships (2) (10) .

Prejudice and discrimination directed at obese persons are ubiquitous

in U.S. society (32) . Many conditions for which obesity increases

risk, such as type 2 diabetes and cardiovascular disease, also

decrease health-related quality of life (33) (34) . Furthermore, in

at least two prospective studies, overweight persons had an increased

risk of disability (35) (36) .

>

> The increase in unhealthy days among lean respondents is more

difficult to explain. Health-related quality of life among very lean

persons has not been studied extensively (7) . The increased mean

number of unhealthy days in such respondents agrees with numerous

studies showing increased all-cause mortality at lower BMIs (5) .

Consistent with previous findings (37) , we found low self-reported

BMI to be significantly associated with female gender, a risk factor

for anorexia nervosa (38) , and linked to greater weight loss goals

when dieting (39) . Lean respondents are likely to be very

heterogeneous and include healthy persons who either diet or exercise

a lot, persons with eating disorders, and clinically or subclinically

sick persons. Such respondents are also more likely to smoke than

others. The shape of the relationship between self-reported BMI and

the number of unhealthy days (physical or mental) among persons who

had never smoked resembled that for the entire analytic sample (data

not shown). Unfortunately, the BRFSS does not include information

needed to distinguish subgroups (except for current smokers) within

lean respondents.

>

> Similar to many previous studies, our study was cross-sectional.

Such a design provides a snapshot of the burden of adverse effects

experienced by obese or very lean persons but does not allow

conclusions about cause and effect. Thus, although obesity may reduce

quality of life, poor quality of life may be due to other factors

that led to weight gain. Because weight and height were self-reported

in our study, misclassification may have affected our results. Obese

persons are more likely to underreport their weights and over-report

their heights than are persons who are not obese (thus decreasing

calculated BMI), and men are more likely to over-report their heights

than are women (4) . Reliability studies of the BRFSS questionnaires

in various settings have reported {kappa} coefficients of 0.77 to

0.96 for BMI and categories of overweight or obese (41) (42) (43) and

correlation coefficients of 0.84 to 0.94 for height, weight, and BMI

(44) . Validity studies of the BRFSS have shown sensitivities of 0.74

to 0.77 and a specificity of 0.99 for obesity (45) (46) . Correlation

coefficients for self-reported height and BMI were 0.94 and 0.96,

respectively (45) . The prevalence of obesity from a BRFSS survey was

~45% less than that from the Five-City Project Survey (47) . If

little or no misclassification of the reference category occurred,

the likely result of misclassification would be relatively accurate

ORs for the lowest and highest BMI classes but increased ORs for the

intermediate classes. Telephone coverage bias is not likely to have

affected these results, because a high proportion of U.S. residents

own telephones. The mean BMI for participants with a telephone in the

Third National Health and Nutrition Examination Survey resembled that

of those without a telephone (48) . However, for subgroups of the

U.S. population with low telephone coverage, the associations between

BMI and quality of life measurements may differ from those described

in this article.

>

> In conclusion, this is the largest study to have examined health-

related quality of life measures related to self-reported BMI. Our

results agree with previous studies and show that health-related

quality of life diminishes as BMI increases or decreases from the

normal range. With the increasing prevalence of obesity becoming

recognized as a public health crisis (49) , our results may be useful

in better monitoring the full impact of this health condition and its

economic consequences. Health-related quality of life measures from

population-based studies such as the BRFSS may provide insights into

health perceptions that may affect the efforts of individuals to

maintain or change their weight.

>

>

> Regards

> Jeff

Link to comment
Share on other sites

Join the conversation

You are posting as a guest. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Loading...
×
×
  • Create New...