Body mass index and risk of cardiovascular disease, cancer and all-cause mortality.
Katzmarzyk, Peter T. ; Reeder, Bruce A. ; Elliott, Susan 等
Several cohort studies have demonstrated a J- or U-shaped
relationship between body mass index (BMI) and mortality, such that
mortality rates are higher in people with low and high BMI compared to
those of normal weight. (1,2) These studies contributed evidence for the
development of clinical thresholds for overweight and obesity. (3-5)
Although there is little disagreement that extreme levels of BMI confer
an increased risk of mortality, there is controversy about the risk
associated with having a BMI in the overweight (25-29.9 kg/[m.sup.2])
range. (6) For example, studies from the U.S. National Health and
Nutrition Examination Surveys (NHANES) reported that mortality rates
were not increased in people classified as overweight, compared to
normal weight people. (7,8)
Several cohort studies from different countries have recently
examined the dose-response relationship between BMI and mortality, and
the results generally support a J-shaped association. (9-12) Although
the specific shape of the curve differs across studies, there is always
a point at which elevated BMI is associated with an increased risk of
mortality. Given that there are limited data on this issue for Canada,
(13-15) the purpose of this study was to determine the dose-response
relationship between BMI and mortality among Canadian adults.
METHODS
Participants and study design
The sample includes 10,522 adults 18-74 years of age who
participated in the Canadian Heart Health Surveys (CHHS), a series of
provincial surveys on CVD risk factors. (16) Potential participants were
identified in medical insurance registries and randomly sampled within 6
age-by-sex strata using a 2-stage probability design that selected
approximately 2,000 participants per province. The CHHS were conducted
in all provinces between 1986 and 1992, (16) followed by a second survey
in Nova Scotia in 1995 (Nova Scotia Health Survey). (17) However, not
all provinces participated in this mortality study. The results reported
here are from Manitoba (n=2,228), Saskatchewan (n=1,712), Alberta
(n=1,980), British Columbia (n=1,259) and Nova Scotia (n=3,343; 2
surveys). Of the original 13,118 participants, the sample was reduced
after eliminating deaths that occurred within six months of the survey
(n=39), those over age 75 or who were missing information on education
(n=470), and those who were missing BMI (n=2,087).
Exposure assessment
Height and weight were measured using a standard physician's
scale, and the BMI was calculated and divided into 5 categories
(<18.5, 18.5-24.9, 25-29.9, 30-34.9, and [greater than or equal to]35
kg/[m.sup.2]). (5) Information on covariates was collected by
questionnaire, and included smoking status, alcohol consumption and
education. Smoking was coded as non-smoker, former smoker or current
smoker, and alcohol consumption was coded as never, former, current
drinker, or unknown. Educational attainment was classified as:
elementary school or less, some secondary school, secondary school
completed, university degree completed, or unknown.
Ascertainment of mortality
Mortality status was determined by linking to the Canadian
Mortality Database (CMDB) at Statistics Canada. (18) The CMDB is
regularly updated by death registrations supplied by every province and
territory. Record linkage was performed using computerized probabilistic
matching, and the potential for deaths to be missed using this approach
is small (3-7%). (19,20) The present analysis includes all deaths that
occurred between six months after the completion of CHHS data collection
and December 31, 2004. Although reverse causation cannot be ruled out,
deaths occurring within the first six months after data collection were
not included in order to attempt to account for the existence of
pre-existing disease. The linked file was received from Statistics
Canada in April, 2010. There were 1,149 deaths (402 CVD and 412 cancer)
over an average of 13.9 years (range 0.5 to 19.1 years) of follow-up,
and the analyses are based on 145,865 person-years. Underlying cause of
death was determined by using the International Classification of
Diseases (ICD) code, revision in effect (ICD-9 through 1999 or ICD-10
from 2000), for deaths identified. The ICD codes were used to identify
deaths from CVD (ICD-9: 390-448; ICD-10: I00-I78) and from cancer
(ICD-9: 140-239; ICD-10: C00-D48). Ethics approval for the linkage to
the CMDB was obtained from the Institutional Review Boards of all
participating institutions.
Statistical analysis
All analyses were conducted using SAS version 9.2 (Cary, NC).
Mortality rates were computed across baseline BMI categories, and hazard
ratios were computed using Cox proportional hazards regression models.
Both age-adjusted and multivariable-adjusted (age, sex, exam year,
smoking status, alcohol consumption and education) hazard ratios were
estimated. Age and exam year were included as continuous variables, and
other covariates were included as categorical variables as described
above. Since 10.9% of the sample was missing information on alcohol
consumption, missing values were multiply-imputed (MI) (5 imputations)
under missing at random (MAR) assumptions and using the MI procedure.
(21) Results from the proportional hazards regressions across the five
imputed datasets were averaged, and the standard errors were adjusted
appropriately, using the MIANALYZE procedure. Results were also compared
with those from complete-case analyses, and no differences were noted in
the estimated effects. All analyses were first conducted on the total
sample of men and women, followed by stratification by sex.
RESULTS
At baseline, 54% of the sample was overweight or obese, and 30.5%
were current smokers. The descriptive characteristics of the sample are
provided in Table 1. Decedents were older (p<0.0001) and also had a
higher mean BMI (p<0.0001) than survivors at baseline. Figure 1
presents the association between baseline BMI and mortality from all
causes, CVD and cancer in men and women. A J-shaped relationship is
apparent for total and CVD mortality, where the lowest risk of mortality
is seen in normal-weight participants at baseline, and increasing risk
is evident across successively higher categories of BMI.
[FIGURE 1 OMITTED]
Age- and multivariate-adjusted hazard ratios for mortality are
presented for men and women in Table 2. The association between BMI and
all-cause mortality was not significant in men, but there were
significant associations with CVD and cancer mortality. Both overweight
and obese men had an elevated risk of CVD mortality, with a significant
linear trend across categories; however, the risk for cancer mortality
did not become significant until a BMI [greater than or equal to]35
kg/[m.sup.2]. There was no apparent elevated risk of mortality in
underweight men.
There were significant linear trends across BMI categories for
mortality rates from all causes, CVD and cancer in women (Table 2). The
excess mortality risk did not become significant until the obese
category (BMI 30-34.9 kg/[m.sup.2]), as overweight women did not have a
significantly elevated risk. In contrast to men, there appears to be an
elevated risk of mortality in underweight women; however, due to the
small number of cases, this association was only significant for
all-cause mortality.
DISCUSSION
The results demonstrate significant relationships between BMI and
mortality from all causes, CVD and cancer. The increased risks of
all-cause and cancer mortality were evident in the obese; however, the
risk of CVD mortality was also elevated in overweight men (BMI 25-29.9
kg/[m.sup.2]). Flegal et al. (7) reported an increased risk of all-cause
mortality in underweight and obese participants, but a lower risk among
overweight participants, compared to the normal weight category,
respectively, in the NHANES. In a subsequent analysis of cause-specific
mortality, there was no association between overweight and cancer and
CVD mortality; however, being obese was associated with an increased
risk of CVD mortality. (8)
Several studies have been published examining the dose-response
relationship between BMI and mortality using large cohorts. There was a
J-shaped relationship between BMI and all-cause mortality among 1.2
million Korean adults. (10) The lowest risk of death was among
participants with a BMI of 23-24.9 kg/[m.sup.2]. Whereas the risk of
all-cause mortality was higher among underweight compared to
normal-weight subjects, the relationship between BMI and CVD mortality
increased steadily with increasing BMI. (10) Likewise, the relationship
between BMI and all-cause mortality was J-shaped in a cohort of 1.46
million White adults from the National Cancer Institute Cohort
Consortium, with the lowest risk among participants with a BMI of
22.5-24.9 kg/[m.sup.2]. (9) The shape of the association was similar for
CVD death; however, the magnitude of the hazard ratios was greater at
every BMI above 22.4-24.9 kg/[m.sup.2] than for mortality from cancer
and other causes. (9) A recent study that followed 1.14 million Asians
from 19 cohorts found that participants with a BMI below 15 kg/[m.sup.2]
had an elevated risk of mortality; however, the risks associated with an
elevated BMI differed by population. East Indians had an elevated risk
of death with higher BMI, but populations from Bangladesh and India did
not. (12) Overall, the lowest risk of death among the Asian cohort was
in participants with a BMI of 22.6-27.5 kg/[m.sup.2]. A study of 184,697
Austrian adults found a U-shaped relationship between BMI and mortality,
with elevated risks in the low BMI (<18.5 kg/[m.sup.2]) and high BMI
([greater than or equal to]35 kg/[m.sup.2]) groups, relative to the
reference (22.5-24.9 kg/[m.sup.2]). (11) The increased risk associated
with a high BMI was largely driven by CVD, and to a lesser extent cancer
mortality. The lowest risk of all-cause mortality in the present study
was among normal-weight adults (BMI 18.5-24.9 kg/[m.sup.2]), which is in
the range of the nadirs reported in these previous studies.
There have been only limited attempts to assess the mortality risk
associated with overweight and obesity in Canadians. A study of adults
from the 1981 Canada Fitness Survey showed only a slightly elevated risk
of all-cause mortality in overweight participants (HR = 1.16; 95% CI:
0.96-1.39), whereas the risk increased substantially among participants
with a BMI [greater than or equal to]35 kg/[m.sup.2] (HR = 2.96;
1.39-6.29). (14) An analysis of women from the Canadian Breast Screening
Study found increased risks of all-cause mortality at a BMI 25-27.9
kg/[m.sup.2] (HR = 1.28; 1.24-1.32) and 28-29.9 kg/[m.sup.2] (HR = 1.34;
1.29-1.39), relative to a BMI 18.5-21.9 kg/[m.sup.2], and the risks
increased linearly across levels of BMI. (13) More recently, an analysis
from the National Population Health Survey found a lower risk of
all-cause mortality among overweight participants (HR = 0.83;
0.72-0.96), and the risk did not become significant until a BMI [greater
than or equal to]35 kg/[m.sup.2] (HR = 1.36; 1.00-1.85). (15) Our
results support these previous Canadian studies and suggest only a
minimally increased risk of all-cause mortality associated with being
overweight. To our knowledge, none of the previous Canadian studies have
examined associations with cause-specific mortality, and the present
study suggests that overweight individuals may have a significantly
elevated risk of CVD mortality, particularly in men.
Marked strengths of this study include the large population-based
sample of men and women with measured BMI followed prospectively for an
average of 13.9 years, and the reliable link to the CMDB to determine
causes of death. However, the sample sizes were relatively small for
some subgroups (such as underweight men), resulting in wider confidence
limits for the estimates of RR and these estimates should be interpreted
with caution. Unfortunately, information on changes in BMI over the
follow-up period is not available; having this information would have
refined the analysis. It would have been preferred to stratify the
analysis by smoking status; however, the sample size was not sufficient
for this. Previous studies have demonstrated that the relationship
between BMI and mortality is similar in smokers and non-smokers;
however, it tends to be stronger in non-smokers. (9,10)
This study adds important new information on the risks associated
with being overweight. Although the risk of all-cause and cancer
mortality was only significantly elevated among obese individuals, those
in the overweight range had an increased risk of CVD mortality,
particularly in men. This finding has significant implications for
public health. Further research is required to understand the full range
of short-term and long-term health risks associated with overweight
versus obesity. However, based on self-reported data from the 2010
Canadian Community Health Survey, the prevalence of overweight and
obesity is approximately 52.3%, and the prevalence of overweight per se
(BMI 25-29.9 kg/[m.sup.2]) is 34.2%, (22) which represents a substantial
proportion of the at-risk population. Thus, based on the results of this
study, a significant proportion of the general Canadian population is at
elevated risk for premature mortality from cardiovascular disease,
cancer and all causes.
Acknowledgements: This research was supported by a New Emerging
Team grant from the Heart and Stroke Foundation of Canada and the
Canadian Institutes of Health Research. PTK is partially supported by
the Louisiana Public Facilities Authority Endowed Chair in Nutrition. KR
and GP acknowledge salary support from the Applied Public Health Chairs
program of the Canadian Institutes of Health Research. KR acknowledges
additional funding from the Heart and Stroke Foundation of Canada.
Special thanks to Alison Edwards for help with data management; Dr.
Stephanie Broyles for help with multiple imputation procedures; and
Paula Woollam and Georgia Roberts from Statistics Canada for their
contributions to conducting the mortality linkage and assembling the
resulting dataset.
Conflict of Interest: None to declare.
Received: May 20, 2011
Accepted: September 20, 2011
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Peter T. Katzmarzyk, PhD, [1] Bruce A. Reeder, MD, [2] Susan
Elliott, PhD, [3] Michel R. Joffres, MD, PhD, [4] Punam Pahwa, PhD, [2]
Kim D. Raine, PhD, [5] Susan A. Kirkland, PhD, [6] Gilles Paradis, MD
[7]
Author Affiliations
[1.] Pennington Biomedical Research Center, Baton Rouge, LA
[2.] Department of Community Health and Epidemiology, University of
Saskatchewan, Saskatoon, SK
[3.] Faculty of Applied Health Sciences, University of Waterloo,
Waterloo, ON
[4.] Faculty of Health Sciences, Simon Fraser University, Burnaby,
BC
[5.] Centre for Health Promotion Studies, School of Public Health,
University of Alberta, Edmonton, AB
[6.] Department of Community Health and Epidemiology, Dalhousie
University, Halifax, NS
[7.] Department of Epidemiology, Biostatistics and Occupational
Health, McGill University, and McGill University Health Centre Research
Institute, Montreal, QC
Correspondence: Dr. Peter T. Katzmarzyk, Pennington Biomedical
Research Center, 6400 Perkins Road, Baton Rouge, LA 70808-4124, Tel:
225-763-2536, Fax: 225-763-2927, E-mail:
[email protected]
Table 1. Descriptive Characteristics of the Sample of 10,522
Canadian Adults in the Canadian Heart Health Surveys Follow-up
Study by Sex and Vital Status
Men
Survivors Decedents
N 4503 707
Follow-up Time (y) * 14.4 (2.9) 8.7 (4.2)
Age (y) 40.7 (15.9) 63.8 (11.4)
BMI (kg/[m.sup.2]) 26.5 (4.4) 27.2 (4.5)
BMI Category (%)
<18.5 kg/[m.sup.2] 1.0 1.1
18.5-24.9 kg/[m.sup.2] 38.4 29.1
25-29.9 kg/[m.sup.2] 42.7 45.8
30-34.9 kg/[m.sup.2] 14.0 19.4
[greater than or equal to] 35 3.9 4.5
kg/[m.sup.2]
Smoking Status (%)
Non-smoker 28.8 12.7
Former smoker 38.8 56.3
Current smoker 32.5 31.0
Alcohol Consumption (%)
Never drink 1.6 1.4
Former drinker 10.0 17.5
Current drinker 77.6 67.6
Unknown 10.8 13.4
Education (%)
Elementary school or less 3.3 9.2
Some secondary school 28.5 53.5
Secondary school completed 49.1 28.2
University degree completed 19.2 9.2
Women
Survivors Decedents
N 4870 442
Follow-up Time (y) * 14.5 (2.8) 9.3 (4.3)
Age (y) 41.3 (16.0) 64.5 (10.9)
BMI (kg/[m.sup.2]) 25.4 (5.3) 27.6 (6.1)
BMI Category (%)
<18.5 kg/[m.sup.2] 3.8 3.6
18.5-24.9 kg/[m.sup.2] 51.7 31.9
25-29.9 kg/[m.sup.2] 26.9 33.9
30-34.9 kg/[m.sup.2] 11.6 19.2
[greater than or equal to] 35 6.1 11.3
kg/[m.sup.2]
Smoking Status (%)
Non-smoker 40.1 40.5
Former smoker 31.2 29.9
Current smoker 28.7 29.6
Alcohol Consumption (%)
Never drink 3.9 11.5
Former drinker 11.3 22.6
Current drinker 73.8 55.2
Unknown 11.0 10.6
Education (%)
Elementary school or less 2.3 9.7
Some secondary school 27.3 49.3
Secondary school completed 54.4 32.1
University degree completed 16.1 8.8
* y = years
Table 2. Relative Risks of All-cause, Cardiovascular Disease,
and Cancer Mortality Associated With Body Mass Index in 10,522 Men
and Women From the Canadian Heart Health Surveys Follow-up Study
Body Mass Index (kg/[m.sup.2])
<18.0 18-24.9 25-29.9
Men
N 55 1933 2246
Person-years of 790 27,115 30,576
follow-up
All-cause mortality
Deaths 8 206 324
Age-adjusted 1.02 (0.50-2.06) 1.00 0.96 (0.80-1.14)
hazard ratio
(95% CI)
Multivariate- 0.84 (0.41-1.72) 1.00 0.99 (0.83-1.18)
adjusted hazard
ratio (95% CI) *
Cardiovascular
disease mortality
Deaths 2 53 138
Age-adjusted 0.95 (0.23-3.90) 1.00 1.56 (1.13-2.14)
hazard ratio
(95% CI)
Multivariate- 0.77 (0.19-3.22) 1.00 1.61 (1.17-2.22)
adjusted hazard
ratio (95% CI) *
Cancer mortality
Deaths 2 72 117
Age-adjusted 0.73 (0.18-2.99) 1.00 0.98 (0.73-1.32)
hazard ratio
(95% CI)
Multivariate- 0.56 (0.16-2.19) 1.00 1.04 (0.77-1.39)
adjusted hazard
ratio (95% CI) *
Women
N 200 2657 1459
Person-years of 2907 38,305 20,298
follow-up
All-cause mortality
Deaths 16 141 150
Age-adjusted 1.98 (1.18-3.32) 1.00 1.12 (0.89-1.42)
hazard ratio
(95% CI)
Multivariate- 1.80 (1.07-3.03) 1.00 1.16 (0.92-1.46)
adjusted hazard
ratio (95% CI) *
Cardiovascular
disease mortality
Deaths 5 40 55
Age-adjusted 2.11 (0.83-5.34) 1.00 1.36 (0.90-2.04)
hazard ratio
(95% CI)
Multivariate- 1.87 (0.73-4.79) 1.00 1.44 (0.95-2.16)
adjusted hazard
ratio (95% CI) *
Cancer mortality
Deaths 5 49 57
Age-adjusted 1.73 (0.69-4.35) 1.00 1.32 (0.90-1.94)
hazard ratio
(95% CI)
Multivariate- 1.57 (0.62-3.97) 1.00 1.36 (0.92-2.00)
adjusted hazard
ratio (95% CI) *
30-34.9 [greater than P for
or equal to] 35.0 Trend
Men
N 768 208
Person-years of 9997 2689
follow-up
All-cause mortality
Deaths 137 32
Age-adjusted 1.15 (0.93-1.43) 1.28 (0.88-1.86) 0.12
hazard ratio
(95% CI)
Multivariate- 1.16 (0.94-1.45) 1.41 (0.97-2.05) 0.05
adjusted hazard
ratio (95% CI) *
Cardiovascular
disease mortality
Deaths 52 12
Age-adjusted 1.68 (1.15-2.46) 1.92 (1.03-3.60) 0.003
hazard ratio
(95% CI)
Multivariate- 1.71 (1.16-2.51) 2.16 (1.14-4.18) 0.001
adjusted hazard
ratio (95% CI) *
Cancer mortality
Deaths 47 15
Age-adjusted 1.13 (0.78-1.63) 1.72 (0.99-3.00) 0.12
hazard ratio
(95% CI)
Multivariate- 1.16 (0.82-1.64) 2.02 (1.14-3.55) 0.04
adjusted hazard
ratio (95% CI) *
Women
N 650 346
Person-years of 8642 4549
follow-up
All-cause mortality
Deaths 85 50
Age-adjusted 1.38 (1.05-1.81) 1.90 (1.38-2.63) 0.002
hazard ratio
(95% CI)
Multivariate- 1.47 (1.12-1.93) 1.85 (1.33-2.56) 0.0008
adjusted hazard
ratio (95% CI) *
Cardiovascular
disease mortality
Deaths 30 15
Age-adjusted 1.60 (0.99-2.56) 1.91 (1.05-3.45) 0.04
hazard ratio
(95% CI)
Multivariate- 1.78 (1.10-2.88) 1.86 (1.02-3.39) 0.02
adjusted hazard
ratio (95% CI) *
Cancer mortality
Deaths 32 16
Age-adjusted 1.61 (1.02-2.52) 1.81 (1.03-3.20) 0.03
hazard ratio
(95% CI)
Multivariate- 1.70 (1.08-2.68) 1.80 (1.02-3.18) 0.02
adjusted hazard
ratio (95% CI) *
* Multivariate models included age, exam year, smoking status,
alcohol consumption and education as covariates.