• 沒有找到結果。

Findings of periodic examination and risk of mortality in a cohort of elderly people in Taiwan

N/A
N/A
Protected

Academic year: 2021

Share "Findings of periodic examination and risk of mortality in a cohort of elderly people in Taiwan"

Copied!
6
0
0

加載中.... (立即查看全文)

全文

(1)

Findings of periodic health examination and risk of mortality

in a cohort of elderly people in Taiwan

Shu-Man YU,1 Wei-Chu CHIE,2 Tony Hsiu-Hsi CHEN3 and Jen-Pei LIU4

1Department of Family Medicine, Cardinal Tien Hospital and 2–4Graduate Institute of Preventive Medicine, College of Public Health, National Taiwan University, Taiwan

Abstract

Aim: Comprehensive periodic health examination of elderly people is popular in Taiwan. The purpose of this study is to identify predictors of mortality of the elderly from the findings of their periodic health examination.

Methods: From the period 1996–1999, 4794 elderly people aged 65 and older underwent periodic health examination in our institution. The status of survival of these 4794 subjects up to 31 December, 2000 was ascertained. Cox proportional hazard regression was performed to estimate the hazard ratio of mortality of the findings in the health examination.

Results: The median follow-up time was 34 months. In the multivariate model, significant findings associated with increased mortality included: smoking daily (hazard ratio [HR]: 1.401; 95% CI = 1.000– 1.963); intake less than three dishes of vegetables and two fruits per day (HR: 1.434; 95% CI = 1.049– 1.960); urine protein > 0.3 g/L (HR: 2.184; 95% CI = 1.399–3.411); low hemoglobin (HR: 1.924; 95% CI = 1.423–2.602); serum albumin < 40 g/L (HR: 2.108; 95% CI = 1.514–2.935); globulin > 35 g/L (HR: 1.421; 95% CI = 1.034–1.952); serum aspartate transaminase level > 40 IU/L (HR:2.468, 95% CI = 1.571– 3.878); and blood urea nitrogen level > 7.8 mmol/L (HR: 1.427; 95% CI = 1.025–1.988).

Conclusions: Lifestyle, dietary habit and some findings of the blood and urine tests done in the periodic health examination were found to be significantly associated with the mortality of people aged 65 years or older in Taiwan.

© 2004 World Organization of Family Doctors Key words: elderly, mortality, periodic health examination, risk factors

Introduction

The demands and needs of the healthcare services of the elderly population has increased rapidly in Taiwan. By the end of 2002 there were more than 2 million elderly people aged 65 years and older, approximately 9% of the total population. The burden of illness is very high in this elderly population. Periodic health examination has been widely promoted to promote early detection of diseases and illnesses.

Two of the most important evidence-based guidelines for periodic health examination were published by the US Preventive Services Task Force and the Canadian Task Force on the Periodic Health Examination.1,2 The

screening tests recommended for people aged 65 and older are limited, probably due to inadequate evaluation of the cost-effectiveness of all the available screening tests in the elderly population. In general, from the available evidences, screening of blood pressure, faecal occult blood, mammography, Pap smear, bone density screening ______________________________________________ Correspondence: Wei-Chu Chie, no. 19, Hsu Chow Road, Taipei, Taiwan, 100.

Email: weichu@episerv.cph.ntu.edu.tw

for older women, vision and hearing screening, were all found to be cost-effective. Many other screening tests are controversial and are not recommended for elderly people.

In Taiwan there was little information and evidence available to assess the effectiveness of the periodic health examination of elderly people, although the number of people doing periodic health examination increased rapidly in the past 10 years. In the year 2001, it was estimated that approximately 37% of elderly people underwent free health examination offered by the government.

Previous studies showed that smoking was a significant predictor of mortality for adults, including elderly people.3– 5 Consumption of alcohol is another lifestyle factor that has

been associated with mortality. Light to moderate drinking was found to be associated with a reduction in overall mortality.6–8 Healthy dietary habits such as adequate

intake of vegetables, fruits and milk were found to be associated with good health. Obesity and overweight were also found to be associated with mortality,9–11 while their

association in elderly people was found to be different from that in the younger population.12–14 High blood

pressure and diabetes mellitus (DM) were the two chronic diseases associated with increased mortality of elderly people.15–21 The results of laboratory tests commonly

performed in the Periodic Health Examination were found to be associated with mortality, such as white blood cell count,22–25 haemoglobin,26–29 serum albumin level,30–34 renal

(2)

function tests,35 urine protein,36–40 uric acid level,41 serum

cholesterol level,42,43 serum triglyceride level,44 and levels

of serum enzymes aspartate transaminase (AST) and alanine transaminase (ALT).45–47

The aim of this study is to identify the significant predictors of mortality of the study subjects from the findings of a periodic health examination for elderly people so that health providers can follow up and care for these people more effectively.

Methods

Study population

Since the year 1994, elderly people aged 65 and older were eligible to attend a free periodic health examination covered by National Health Insurance in a community hospital located in the Taipei County of Taiwan. They participated voluntarily and attended annually in a ‘first-come, first-serve’ basis. In this study, we performed analyses on the findings of the first health examination of these elderly people who attended this hospital between the years 1996–1999.

Study design

In this study, only the findings of the first examination of the participant during the study period were used for analysis. Elderly people voluntarily made an appointment and came on the day of examination in a fasting state. The health examination included the completion of a questionnaire, a physical examination and laboratory tests. With the help of an assistant or a nurse, a questionnaire about medical history (hypertension, diabetes mellitus, renal disease, lung disease, cerebrovascular disease, lipid disorder, hepatitis B infection, cardiovascular diseases, peptic ulcer disease and history of regular drug usage) and lifestyle (smoking, alcohol consumption, intake of fruits, vegetables and milk) were administered. Blood pressure, heart rate, height, weight and vision acuity were measured. A completed physical examination was then performed by a family physician. Finally, a panel of blood and urine tests was done, including complete blood count, fasting sugar, lipid profile (cholesterol and triglyceride), renal function profile (blood urea nitrogen, creatinine and urine albumin), liver profile (serum AST and ALT), serum albumin, globulin and uric acid.

The reliability of the questionnaire was estimated by comparing the responses of the first health examination and subsequent examinations of those subjects who attended more than once during the study period. The correlation of their answers to the questionnaire in the first and repeated examinations was regarded as a representation of the test-retest reliability. The mean duration between the test and retest was 13 months. The mean correlation coefficient was 0.62. All laboratory tests were performed in the institution’s laboratory. Blood pressure was measured once by a standard sphygmomanometer by a nurse after sufficient rest by the participant. The same automatic device was used to measure the height and weight of the subjects throughout the 4 years of study.

The status of survival of the subjects was ascertained by linkage to the national mortality database. The date and the cause of death were noted for each participant who died on or before 31 December, 2000. Personal information on each subject was kept confidential and anonymous in data linkage and processing. Ethical review was not required for secondary data analysis when the study was conducted.

Statistical methods

Statistic software SPSS V.10.0 was used for the data analysis. Cox proportional hazard regression procedure was performed to estimate the hazard ratio of mortality of the findings. Wald test was used to determine the significance of this hazard ratio. All statistical tests were regarded as significant if P < 0.05. The duration of follow-up was calculated in months and the event was the death of the elderly subject. Multivariate analysis was performed and the significant variables of a prediction model were identified by backward elimination in the regression procedure.

Results

Between 1996–1999, 4794 subjects aged 65 and older (2781 male and 2013 female) underwent the periodic health examination in our institution (Table 1). Of these, 2426 subjects had repeated the examination in the subsequent several years and 2368 subjects did the health examination once only during the study period. By the end of 2000, there were 271 deaths in the overall cohort of 4794. The mortality rate was 5.65% and the main causes of death were cancer and cardiovascular diseases (Table 2). The standardized mortality rate of the participants was estimated to be 6.19%. The cross-sectional findings of the periodic health examination in this study were similar to other studies in Taiwan (Tables 3,4). The standardized mortality rate and the distribution of the causes of mortality were also similar to the national data. Total follow-up time of all participants was 16 7331 person-months and the median follow-up time was 34 person-months (mean = 34.9 months, SD = 10.9 months, interquartile range = 24 months).

High blood pressure, cardiovascular diseases and diabetes mellitus were the three most common medical histories reported by the participants; 54.5% regularly took medication. Most did not smoke, did not consume alcohol regularly and reported that they ate a lot of fruits and vegetables (Table 3). Overweight and high blood pressure were the most common abnormal physical findings. High serum level of total cholesterol, uric acid and blood sugar were the three most common findings in the laboratory examination (Table 4).

Table 1 Age and sex of the participants Age Male Female Total

65–69 900 (32.4%) 755 (37.5%) 1655 (34.6%) 70–74 952 (34.3%) 661 (32.8%) 1613 (33.6%) 75–79 578 (20.7%) 383 (19%) 961 (20%) ≥ 80 351 (12.6%) 214 (10.7%) 565 (11.8%) Total 2781 (100%) 2013 (100%) 4794 (100%) ___________________________________________________

(3)

The following factors were found in the multivariate model significantly associated with increased risk of mortality: daily smoking; eating less than three dishes of vegetable and two fruits every day; urine protein > 0.3 g/ L; low hemoglobin level (men ≤ 130 g/L, women ≤ 120 g/ L); serum albumin < 40 g/L and globulin > 35 g/L; serum AST level > 40 IU/L; and blood urea nitrogen level > 7.8 mmol/L (Table 5).

Discussion

In this study, we found that daily smoking, intake of less than three dishes of vegetables and two fruits every day, low hemoglobin, excretion of moderate amounts of urine protein, low serum albumin level, high serum globulin level, elevated serum AST and high bood urea nitrogen (BUN) level were significant independent predictors of mortality in the multivariate model.

The hazard ratio of mortality was 1.401 in the elderly who smokes daily. Smoking is similarly hazardous to elderly people as in the younger population. Education of elderly patients to quit smoking is important in daily practice. Nutrition deficiency is common in elderly people. Encouragement of elderly people to eat adequate

and balance food is important. Increased intake of fruits and vegetables was shown to be protective in this study. Obesity is a risk factor for many adult diseases. However, in the elderly population of this study, body mass index (BMI) was not found to be a significant risk factor of mortality. Alcohol consumption was also not shown to increase the mortality in this study. In general, inquiry

Table 2. Number and causes of death by the end of the study (31

December, 2000)

Deaths Male Female Total (%)

Cancer mortality 51 30 81 (29.9%) Cardiovascular mortality 45 34 79 (29.2%) Respiratory mortality 21 10 31 (11.4%) Diabetes mellitus mortality 10 10 20 (7.4%) All other causes mortality 38 22 60 (22.1%) All causes mortality 165 106 271 (100%) Number of survived subjects 2616 1907 4523 Total subjects 2781 2013 4794 Percentage of deaths 5.93% 5.26% 5.65%

___________________________________________________

Table 3. Self-reported medical histories and lifestyle factors of

the participants

Self-reported medical histories Prevalence of the and lifestyle factors conditions (n = 4794)

Hypertension 34.20% Diabetes Mellitus 11.50% Renal diseases 2.70% Lung diseases 3.20% Cerebro-vascular diseases 2.70% Lipid disorders 8.80% HBV infection 2.30% Cardiovascular diseases 17.70% Peptic ulcer diseases 11.10% Regular drug usage 54.50% No smoking 82.90% Smoking occasionally 3.10% Smoking everyday 14.00% Not consume alcohol 76.30% Consume alcohol occasionally 18.50% Consume alcohol frequently 5.20% Drink milk everyday 65.40% Eat fruits and vegetables frequently

(at least 3 dishes of vegetable and 2 fruits) 83.20% ___________________________________________________

Table 4. Abnormal findings of the periodic health examination

in this study

Abnormal findings Prevalence of the conditions (n = 4794) BMI (≥ 24 and < 27) 32.20% BMI (≥ 27) 22.20% Systolic BP (< 140 mmHg) 62.20% Systolic BP (> = 140 mmHg 37.80% Diastolic BP (< 90 mmHg) 76.10% Diastolic BP ≥ 90 mmHg) 23.90% Hypertension (positive history or SBP

≥ 140 mmHg or DBP ≥ 90 mmHg) 58.40% Urine protein (< 0.3 g/L) 89.70% Urine protein (= 0.3 g/L) 6.60% Urine protein (> 0.3 g/L) 3.70% White blood cells (> 10.0 × 109/L) 2.20%

Hemoglobin (male < 130 g/L,

female < 120 g/L) 13.90% Albumin (< 40 g/L) 11.20% Globulin (> 35 g/L) 16.00% Serum AST (> 40 IU/L) 3.80% Serum ALT (> 60 IU/L) 5.30% Sugar(> 6.1 mmol/L and < 7 mmol/L) 6.30% Sugar(≥ 7 mmol/L) 11.00% Diabetes or glucose intolerance (positive

history or fasting sugar > 6.1 mmol/L) 20.60% Cholesterol (≥ 5.20 mmol/L and < 6.20 mmol/L) 36.10% Cholesterol (≥ 6.20 mmol/L) 15.00% Triglyceride (≥ 1.7 mmol/L and < 2.26 mmol/L) 10.20% Triglyceride (≥ 2.26 mmol/L) 9.00% BUN (> 7.8 mmol/L) 11.20% Creatinine (> 124 mol/L) 6.30% Uric Acid (> 446 mol/L) 21.40%

___________________________________________________

BMI, Bodymass index; BP, blood pressure; AST, aspartate transaminase; ALT, alanine transaminase; BUN, blood urea nitrogen

Table 5. Hazard ratios of mortality of the significant factors in

the multivariate model

Factors Hazard ratios CI (95%) Smoking everyday 1.401 1.000–1.963 Intake less than 3 dishes

of vegetable and 1.434 1.049–1.960 2 fruits per day

Urine protein > 0.3 g/L 2.184 1.399–3.411 Hemoglobin (male < 130 g/L female < 120 g/L) 1.924 1.423–2.602 Serum albumin < 40 g/L 2.108 1.514–2.935 Serum globulin > 35 g/L 1.421 1.034–1.952 AST > 40 IU/L 2.468 1.571–3.878 BUN < 7.8 mmol/L 1.427 1.025 -1.988 ___________________________________________________

(4)

about the lifestyle issues is still very important in the periodic health examination. Intervention to change an unhealthy lifestyle should be considered.

Anaemia is an independent factor strongly associated with mortality. In this study, the hazard ratio of mortality for low haemoglobin was 1.924. Underlying diseases unable to be adjusted might explain part of the increasing risk of mortality of low haemoglobin. Identification of the causes of the anaemia and treatment of the underlying causes may increase the survival rate of the patient. Serum albumin levels were found to be significantly associated with mortality. The hazard ratio of mortality found in this study for serum albumin < 40 g/L was 2.108. Elderly people with low serum albumin levels should be further investigated for underlying illnesses and be treated accordingly. Elevated serum globulin > 35 g/L was also found to be a risk factor for mortality with a hazard ratio of 1.421. Raised serum AST level was significantly associated with mortality. The hazard ratio was 2.468 in people with AST > 40 IU/L. Elderly people with elevated AST should be followed-up closely, even if the patient does not have liver disease. Further investigation is warranted if the abnormalities persist without good explanation.

Excretion of urinary protein was an important independent indicator for health, being significantly associated with mortality. The hazard ratio was 2.184 in this study. Elderly people with proteinuria should be followed-up closely and other cardiovascular risk factors should be found and modified. Treatment with angiotensin-converting enzyme (ACE) inhibitors may be considered. Serum level of blood urea nitrogen was also found to be associated with increased mortality, with a hazard ratio of 1.427. Supportive treatments and correction of underlying illnesses may correct the elevated level of BUN

Based on the results of the health examination, we can identify high-risk elderly people. Further treatment or management of the high-risk group may reduce their mortality. The findings of this study also suggest that many results in the periodic health examination are not predictors of mortality among the elderly. This may imply that the contents of the periodic health examination may need to be revised accordingly. In this health examination, additional serological tests (hepatitis B surface antigen, hepatitis C antibody, etc.), imaging studies (chest X-ray, abdominal sonography, etc.), and other screening tests (electrocardiogram, thyroid stimulating hormone, alpha-fetoprotein, etc.) were selectively performed. The findings of these tests were not included in our analysis due to the incompleteness of data. It is not known whether the results of these screening tests were predictors of mortality. More studies should be done to evaluate the cost and effectiveness of the contents of periodic health examinations in the future.

This study has the following limitations. First, the median follow-up time was only 34 months. The confounding effects of the underlying illnesses or other factors can remain after such a short follow-up time. The statistical power may not be enough for some factors with small differences in relative risk or with small percentage rates of positive findings. Second, the subjects may be self-selective in presenting voluntarily for the health examination. However, the demographic structure,

mortality rate and the distribution of the causes of mortality were similar to the national data. As a result, the generalization of the findings of this study to the elderly population in Taiwan may be acceptable. Third, we did not have information on time-dependent and changeable predictors which may be more useful in patients’ care. We will update the information and undertake longer follow-up to solve this problem in future studies.

Conclusions

A number of abnormal tests (urine protein, serum albumin and globulin, serum AST, haemoglobin and BUN) performed in the routine periodic health examination can provide us with valuable information to predict the mortality of elderly people. Lifestyle factors such as smoking, intake of vegetables and fruits are also predictors of mortality in the elderly population. Individualized risk management plan should be formulated according to the findings of periodic health examination in order to maximize the benefit of a periodic health examination. The results of this study may provide evidence for the design and revision of periodic health examinations for the elderly in the future.

Summary of implications for GPs

• Lifestyle such as smoking and intake of fruits and vegetables are important to the health of elderly people, as noted in the findings of this study. GPs should play a central role in educating and motivating elderly patients to pursue healthy lifestyles.

• Many patients will ask their family doctors to explain the results of their health check-up. With the recognition of significant predictors of mortality, GPs can better explain and manage their patients in the context of the findings in the health check-up.

• When patients ask GPs to perform tests as a part of routine check-up, GPs can select appropriate tests that may predict mortality. The check-up may then be more cost-effective.

References

1 US Preventive Services Task Force. Guide to Clinical

Preventive Services, 2nd edn. Baltimore: Williams &

Wilkins; 1996.

2 Anonymous. The periodic health examination 2, 1985 update. Canadian Task Force on the Periodic Examination.

Can. Medical Assoc. J. 1986; 137: 724–7.

3 Woo J, Ho SC, Yu AL. Lifestyle factors and health outcomes in elderly Hong Kong Chinese aged 70 years and over.

Gerontology 2002; 48: 234–40.

4 Sunyer J, Lamarca R, Alonso J. Smoking after age 65 years and mortality in Bracelona, Spain. Am. J. Epidemiol. 1998;

148: 575–80.

5 Vogt MT, Cauley JA, Scott JC, Kuller LH, Browner WS. Smoking and mortality among older women: the study of osteoporotic fractures. Arch. Internal Med. 1996; 156: 630–6.

(5)

Study group. Alcohol consumption and all-cause and cancer mortality among middle-aged Japanese Men: Seven year follow-up of the JPHC study cohort 1. Am. J. Epidemiol. 1999; 150: 1201–7.

7 Fuchs CS, Stampfer MJ, Colditz GA et al. Alcohol consumption and mortality among women. N. Eng. J. Med. 1995; 332: 1245–50.

8 Shaper AG, Wannamethee SG. Alcohol intake and mortality in middle aged men with diagnosed coronary heart disease.

Heart 2000; 83: 394–9.

9 Jousilahti P, Tuomilehto J, Vartiainen E, Pekkanen J, Puska P. Body weight, cardiovascular risk factors and coronary mortality: 15 year follow up of middle-aged men and women in eastern Finland. Circulation 1996; 93: 1372–9.

10 Calle EE, Rodrigueez C, Walker-Thurmond K, Thun MJ. Overweight, obesity and mortality from cancer in a prospectively studied cohort of US adults. N. Eng. J. Med. 2003; 348: 1625–38.

11 Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW Jr. Body-mass index and mortality in a prospective cohort of US adults. N. Eng. J. Med. 1999; 341: 1097–105.

12 Bender R, Jockel KH, Trautner C, Spraul M, Berger M. Effect of age on excess mortality in obesity. JAMA 1999;

281: 1498–504.

13 Stevens J, Cai J, Pamuk ER, Williamson DF, Thun MJ, Wood JL. The effect of age on the association between body-mass index and mortality. N. Eng. J. Med. 1998; 338: 1–7. 14 Diehr P, Bild DE, Harris TB, Duxbury A, Siscovick D, Rossi

M. Body mass index and mortality in nonsmoking older adults: the cardiovascular health study. Am. J. Public Health 1998; 88: 623–9.

15 Miura K, Daviglus ML, Dyer AR et al. Relationship of blood pressure to 25-year mortality due to coronary heart disease, cardiovascular diseases, and all causes in young adult men: the Chicago Heart Association detection project in industry. Arch. Intern. Med. 2001; 161: 1501–8. 16 Blazer DG, Landerman LR, Hays JC, Grady TA, Havlik R,

Corti MC. Blood pressure and mortality risk in older people. comparison between African Americans and Whites. J. Am.

Geriatr. Soc. 2001; 49: 375–81.

17 Boshuizen HC, Izaks GJ, van Buuren S, Ligthart GJ. Blood pressure and mortality in elderly people aged 85 and older: community based study. BMJ 1998; 316: 1780–4.

18 Mather HM, Chaturvedi N, Fullner JH. Mortality and morbidity from diabetes in south Asian and Europeans: 11 year follow up of the Southall Diabetes Survey, London,UK.

Diabet. Med. 1998; 15: 53–9.

19 Simons LA, McCallum J, Friedlander Y, Simons J. Diabetes, mortality and coronary heart disease in the prospective Dubbo study of Australian elderly. Aust. N. Z. J. Med. 1996;

26: 66–74.

20 Sinclair AJ, Robert IE, Croxson SC. Mortality in older people with diabetes mellitus. Diabet. Med. 1997; 14: 639–47. 21 Rodriguez BL, Burchfiel CM, Fujimoro W et al. The

associations of fasting glucose, insulin and C-peptide with 15 year total mortality; The Honolulu Heart Program.

Circulation 1997; 96: 657.

22 Danesh J, Collins R, Appleby P, Peto R. Association of fibrinogen, CRP, albumin, or leucocyte count with coronary heart disease. JAMA 1998; 279: 1477–82.

23 Grimm RH, Neaton JD, Ludwig W. Prognostic importance of the WBC count for coronary, cancer and all-cause mortality.

JAMA 1985; 254: 1932–7.

24 Lee CD, Folsom AR, Nieto FJ, Chambless LE, Shahar E, Wolfe DA. White blood cell count and incident of CHD and ischemic stroke, and mortality from CVD in African-American and white men and women: the atherosclerosis

risk in communities study. Circulation 2001; 103: 1355–8. 25 Friedman GD, Klatsky AL, Siegelaub AB. The leukocyte

count as a predictor of myocardial infarction. N. Eng. J.

Med. 1974; 290: 1275–9.

26 Campbell MJ, Elwood PC, Mackean J, Waters WE. Mortality, haemoglobin level and haematocrit in women. J.

Chronic Dis. 1985; 38: 881–9.

27 Izaks GJ, Westendorp RG, Knook DL. The definition of anemia in older persons. JAMA 1999; 281: 1714–7.

28 Ania BJ, Suman VJ, Fairbanks VF, Rademacher DM, Melton LJ III Incidence of anemia in older people: An epidemiologic study in a well defined population. J. Am. Geriatr. Soc. 1997;

45: 825–31.

29 Sempos CT, Looker AC, Gillium RF, Diverse Populations Collaborative Group. Body iron stores and the risk of coronary heart disease. N. Eng. J. Med. 1994; 330: 1119– 24.

30 Djousse L, Rothman KJ, Cupples LA, Levy D, Ellison RC. Serum albumin and risk of myocardial infarction and all-cause mortality in the Framingham Offspring Study.

Circulation 2002; 106: 2919–24.

31 Goldwasser P, Feldman J. Association of serum albumin and mortality risk. J. Clin. Epidemiol. 1997; 50: 693–703. 32 Weijenberg MP, Feskens EJ, Souverijn JH, Kromhout D.

Serum albumin, coronary heart disease risk, and mortality in an elderly cohort. Epidemiology 1997; 8: 87–92.

33 Sahyoun NR, Jacques PF, Dallal G, Russell RM. Use of albumin as a predictor of mortality in community dwelling and institutionalized elderly populations. J. Clin. Epidemiol. 1996; 49: 981–8.

34 Corti MC, Salive ME, Guralnik JM. Serum albumin and physical function as predictors of coronary heart disease mortality and incidence in older persons. J. Clin. Epidemiol. 1996; 49: 519–26.

35 Al-Ahmad A, Rand WM, Manjunath G et al. Reduced kidney function and anemia as risks factors for mortality in patients with left ventricular dysfunction. J. Am. Coll.

Cardiol. 2001; 39: 955–62.

36 Roest M, Banga JD, Janssen WM et al. Excessive urinary albumin levels are associated with future cardiovascualr mortality in post-menopausal women. Circulation 2001;

103: 3507–061.

37 Gary JP, Bakris GL. Microalbuminuria: marker of vascular dysfunction, risk factor for cardiovascular disease. Vasc.

Med. 2002; 7: 35–43.

38 Kristjansson K, Ljungman S, Bengtsson C, Bjorkelund C, Sigurdsson JA. Microproteinuria and long-term prognosis with respect to renal function and survival in normotensive and hypertensive women – a 24 year follow-up of a representative population sample of women in Gothenburg, Sweden. Scand. J. Urol. Nephrol. 2001; 35: 63–70.

39 Segura J, Campo C, Ruilope LM. Proteinuria: an underappreciated risk factor in cardiovascular disease. Curr.

Cardiol. Rep. 2002; 4: 458–62.

40 Hillege HL, Fidler V, Diercks GF et al. Urinary albumin excretion predicts cardiovascular and non-cardiovascular mortality in general population. Circulation 2002; 106: 1777–82.

41 Liese AD, Hense HW, Lowel H, Doring A, Keil U. Association of serum uric acid with incident myocardial infarction, all cause and CVD mortality in the MONICA Augsburg cohort. Circulation 1998; 97: 822.

42 Wannamethee G, Shaper AG, Whincup PH, Walker M. Low serum cholesterol concentrations and mortality in middle aged British men. BMJ 1995; 311: 409–13.

43 Iso H, Naito Y, Kitamura A et al. Serum total cholesterol and mortality in a Japanese population. J. Clin. Epidemiol. 1994;

(6)

47: 961–9.

44 Haim M, Benderly M, Brunner D et al. Elevated serum Triglyceride levels and long-term mortality in patients with coronary heart disease: the Bezafibrate infarction prevention (BIP) Registry. Circulation 1999; 100: 475–82.

45 Arndt V, Brenner H, Rothenbacher D, Zschenderlein B, Fraisse E, Fliedner TM. Elevated liver enzyme activityin construction workers. prevalence and impact on in construction workers. prevalence and impact on early

retirement and all-cause mortality. Int. Arch. Occup. Environ.

Health 1998; 71: 405–12.

46 Mazza A, Casiglia E, Scarpa R et al. Predictors of cancer mortality in elderly subjects. Eur. J. Epidemiol. 2003; 15: 421–7.

47 Torgerson JS, Lindroos AK, Sjostrom CD, Olsson R, Lissner L, Sjostrom L. Are elevated aminotransferases and decreased bilirubin additional characteristics of the metabolic syndrome? Obes. Res. 1997; 5: 105–14.

數據

Table 1  Age and sex of the participants
Table 3. Self-reported medical histories and lifestyle factors of  the participants

參考文獻

相關文件

In fact, one way of getting from Fourier series to the Fourier transform is to consider nonperiodic phenomena (and thus just about any general function) as a limiting case of

For periodic sequence (with period n) that has exactly one of each 1 ∼ n in any group, we can find the least upper bound of the number of converged-routes... Elementary number

6 《中論·觀因緣品》,《佛藏要籍選刊》第 9 冊,上海古籍出版社 1994 年版,第 1

Al atoms are larger than N atoms because as you trace the path between N and Al on the periodic table, you move down a column (atomic size increases) and then to the left across

Wang, Solving pseudomonotone variational inequalities and pseudocon- vex optimization problems using the projection neural network, IEEE Transactions on Neural Networks 17

Define instead the imaginary.. potential, magnetic field, lattice…) Dirac-BdG Hamiltonian:. with small, and matrix

If growing cities in Asia and Africa can provide clean, safe housing, the future of the people moving there should be a very good one... What is the main idea of the

files Controller Controller Parser Parser.