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  • 标题:Body mass index and risk of cardiovascular disease, cancer and all-cause mortality.
  • 作者:Katzmarzyk, Peter T. ; Reeder, Bruce A. ; Elliott, Susan
  • 期刊名称:Canadian Journal of Public Health
  • 印刷版ISSN:0008-4263
  • 出版年度:2012
  • 期号:March
  • 语种:English
  • 出版社:Canadian Public Health Association
  • 摘要: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.
  • 关键词:Body mass index;Cardiovascular diseases;Mortality

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

REFERENCES

(1.) NIH. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults--The evidence report. Obes Res 1998;6(Suppl.2):51S-209S [published erratum appears in Obes Res 1998;1996(1996):1464].

(2.) Allison DB, Faith MS, Heo M, Kotler DP. Hypothesis concerning the U-shaped relation between body mass index and mortality. Am J Epidemiol 1997;146:339-49.

(3.) World Health Organization. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation on Obesity, Geneva, 3-5 June, 1997. Geneva: World Health Organization, 1998.

(4.) NIH. The Practical Guide to the Identification, Evaluation and Treatment of Overweight and Obesity in Adults. Bethesda, MD: US NIH, 2000.

(5.) Health Canada. Canadian Guidelines for Body Weight Classification in Adults. Cat. No. H49-179/2003E. Ottawa, ON: Health Canada, 2003.

(6.) Lewis CE, McTigue KM, Burke LE, Poirier P, Eckel RH, Howard BV, et al. Mortality, health outcomes, and body mass index in the overweight range: A science advisory from the American Heart Association. Circulation 2009;119(25):3263-71.

(7.) Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight and obesity. JAMA 2005;293:1861-67.

(8.) Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA 2007;298(17):2028-37.

(9.) Berrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, et al. Body-mass index and mortality among 1.46 million white adults. N Engl J Med 2010;363(23):2211-19.

(10.) Jee SH, Sull JW, Park J, Lee SY, Ohrr H, Guallar E, et al. Body-mass index and mortality in Korean men and women. N Engl J Med 2006;355(8):779-87.

(11.) Klenk J, Nagel G, Ulmer H, Strasak A, Concin H, Diem G, et al. Body mass index and mortality: Results of a cohort of 184,697 adults in Austria. Eur J Epidemiol 2009;24(2):83-91.

(12.) Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med 2011;364(8):719-29.

(13.) Jain MG, Miller AB, Rohan TE, Rehm JT, Bondy SJ, Ashley MJ, et al. Body mass index and mortality in women: Follow-up of the Canadian National Breast Screening Study cohort. Int J Obes Relat Metab Disord 2005;29(7):792-97.

(14.) Katzmarzyk PT, Craig CL, Bouchard C. Underweight, overweight and obesity: Relationships with mortality in the 13-year follow-up of the Canada Fitness Survey. J Clin Epidemiol 2001;54:916-20.

(15.) Orpana HM, Berthelot JM, Kaplan MS, Feeny DH, McFarland B, Ross NA. BMI and mortality: Results from a national longitudinal study of Canadian adults. Obesity (Silver Spring). 2010;18(1):214-18.

(16.) MacLean DR, Petrasovits A, Nargundkar M, Connelly PW, Macleod E, Edwards A, et al. Canadian Heart Health Surveys: A profile of cardiovascular risk. Survey methods and data analysis. CMAJ 1992;146(11):1969-74.

(17.) Maaten S, Kephart G, Kirkland S, Andreou P. Chronic disease risk factors associated with health service use in the elderly. BMC Health Serv Res 2008;8:237.

(18.) Statistics Canada. Vital Statistics--Death Database: Detailed information for 2005. Ottawa, ON: Statistics Canada, 2007. Available at: www.statcan.gc.ca/cgi-bin/imdb/p2SV.pl?Function=getSurvey&SurvId=3233&SurvVer= 0&InstaId=15306&InstaVer=8&SDDS=3233&lang=en&db=imdb&adm=8&dis=2 (Accessed February 7, 2011).

(19.) Schnatter AR, Acquavella JF, Thompson FS, Donaleski D, Theriault G. An analysis of death ascertainment and follow-up through Statistics Canada's Mortality Database System. Can J Public Health 1990;81:60-65.

(20.) Shannon HS, Jamieson E, Walsh C, Julian JA, Fair ME, Buffett A. Comparison of individual follow-up and computerized linkage using the Canadian Mortality Data Base System. Can J Public Health 1989;80:54-57.

(21.) SAS Institute. SAS/STAT 9.22 User's Guide. Cary, NC: SAS Institute Inc., 2010.

(22.) Statistics Canada. Health indicators, June 21, 2011. Catalogue # 82-221-XWE. 2011.

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.
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