European Heart Journal (2001) 22, 573–579 doi.10.1053/euhj.2000.2402, available online at http://www.idealibrary.com on Cardiovascular risk factors and 10-year all-cause mortality in elderly European male populations The FINE study A. Menotti1, I. Mulder1, A. Nissinen2, E. Feskens1, S. Giampaoli3, M. Tervahauta2 and D. Kromhout1 1 Division of Public Health Research, National Institute of Public Health and the Environment, Bilthoven, The Netherlands; 2Department of Public Health and General Practice, University of Kuopio, Kuopio, Finland; 3 Laboratorio di Epidemiologia e Biostatistica, Istituto Superiore di Sanita’, Rome, Italy Background This study aims to examine cardiovascular risk factors in relation to all-cause mortality in elderly populations of different European countries. Methods Men aged 65–84 years from defined administrative areas were enrolled in Finland (rural areas of east and west Finland; n=716), in the Netherlands (the town of Zutphen; n=887), and in Italy (the rural areas of Crevalcore and Montegiorgio; n=682). Ten-year all-cause mortality was studied in relation to measurements taken at entry: age, systolic blood pressure, HDL- and non-HDLcholesterol, body mass index, heart rate and smoking habits. Univariate and multivariate analyses were performed with all-cause mortality as the end-point. Results Ten-year death rates from all causes were higher in Finland (574 per 1000), lower in the Netherlands (475 per 1000), and Italy (466 per 1000). Age, heart rate Introduction The relationship of cardiovascular risk factors to allcause mortality can be easily analysed in population studies originally designed for research into cardiovascular disease epidemiology. This problem is especially of interest when the study population has grown old. If one studies an elderly person who has died the underlying cause of death may be hard to establish because of the frequent occurrence of co-morbid conditions. Within the Seven Countries Study on Cardiovascular Diseases[1–3], five cohorts (two in Finland, two in Italy and one in the Netherlands) joined a new study on the Revision submitted 25 July 2000, and accepted 26 July 2000. Correspondence: Alessandro Menotti, MD, PhD, Cardioricerca, Via Adda 87, Rome, Italy 00198. 0195-668X/01/070573+07 $35.00/0 and smoking in all three countries were independently associated with 10-year all-cause mortality. Non-HDLcholesterol was not related with all-cause mortality. The observed associations between HDL-cholesterol, systolic blood pressure, body mass index and all-cause mortality were dependent on the in- or exclusions of early death. Conclusion In these elderly men only age, smoking habits and heart rate were consistently associated with all-cause mortality. (Eur Heart J 2001; 22: 573–579, doi:10.1053/euhj.2000.2402) 2001 The European Society of Cardiology Key Words: Elderly, epidemiology, risk factors, all-cause mortality, smoking, heart rate. See page 528 for the Editorial comment on this article elderly, which started in the mid 1980s, coinciding with their 25-year re-examination. The men were aged 65 to 84 years and the study was called FINE (Finland, Italy, Netherlands, Elderly). The adopted baseline field examination of this new study was followed by collection of mortality data during 10 years of follow-up. A report on the first 5-year experience[4] suggested that age and smoking habits were directly associated with future deaths, while other factors (blood pressure, HDL- and non-HDL-cholesterol and body mass index) did so in a parabolic fashion, although many uncertainties remained about their precise role. The purpose of the present study is to investigate the associations between cardiovascular risk factors and 10-year all-cause mortality. We hypothesized that the measured cardiovascular risk factors are still predictive of all-cause mortality in these elderly populations. 2001 The European Society of Cardiology 574 A. Menotti et al. Material and Methods The FINE study extends the Seven countries Study on Cardiovascular Diseases beyond the 25 years of followup. It includes the two Finnish cohorts (both rural) known as East Finland (EF) and West Finland (WF), the Dutch cohort from the small town of Zutphen (ZU), and the two rural cohorts located in the villages of Crevalcore (CR) and Montegiorgio (MO), in Northern and Central Italy, respectively. The start of the study was fixed at the time of the 25-year anniversary re-examination, held in 1984 (Finland) and in 1985 (the Netherlands and Italy), when the men were aged 65 to 84 years. On that occasion new rosters were defined by identifying those individuals still alive in Finland and Italy. In the Dutch area of Zutphen a new 2/3 statistical sample of men in the same age range (65 to 84 years) was enrolled and examined for the first time in 1985 and added to the survivors of the original Zutphen cohort. This latter cohort dating from 1960 was a 4/9 statistical sample of the resident male population aged 40–59 years. Altogether, at the baseline of the FINE study, 716 men were examined and enrolled in Finland, 887 in the Netherlands and 682 in Italy, and in total numbered 2285 men. The participation rate was 92% in Finland, 74% in the Netherlands and 76% in Italy. The entry examination of the FINE Study included measurement of the following risk factors: Age was measured in years, rounded-off to the nearest birthday. Blood pressure was measured in the supine position, at the end of a physical examination or after 10 min rest, by a mercury sphygmomanometer (random-zero in the Netherlands), following the procedure suggested in the WHO Cardiovascular survey Methods Manual[5]. Total and HDL-serum cholesterol were measured in blood samples (non-fasting in Italy and Zutphen), using enzymatic methods. The laboratories were under quality control of the WHO Lipid Reference Center of Prague and the CDC Center in Atlanta, and technical details are reported elsewhere[6]; for the purpose of this analysis, the variable non-HDL-cholesterol has been created as the difference between total and HDL-cholesterol, a proxy for LDL cholesterol. Height (cm) and weight (kg) were measured in light undergarments following the procedure suggested by the WHO Cardiovascular Survey Methods Manual[5]; and the body mass index (kg . m 2) was calculated. In Finland height was not measured in 1984; the measurements taken in 1959 at the beginning of the Seven Countries Study were used instead. Smoking habits were elicited by a questionnaire originally designed for the Seven Countries Study. The subjects were classified as never having smoked, exsmokers or current smokers. Heart rate was measured on a resting ECG record (average of rate in leads I and V6 in Italy and in the Netherlands, while in Finland it was measured by pulse rate count). Eur Heart J, Vol. 22, issue 7, April 2001 Mortality data were collected during 10 years of follow-up. Only six participants were lost to follow-up (two in Italy, four in the Netherlands). Death certificates were coded using the 9th Revision of the WHO-ICD[7], by a single investigator. Only all-cause mortality is used in this paper. Univariate analyses were performed by computing age-adjusted death rates in tertile classes or other arbitrary classes of risk factors. Tests of proportions were calculated for extreme rates for each risk factor. Multivariate analyses were carried out using the Cox proportional hazards model[8] for the prediction of 10-year all-cause mortality, as a function of risk factors. These analyses were done for each country and pooled for all groups together. Dummy variables identified the cohorts or the countries when more than one cohort or country was included in a model. The models included age, systolic blood pressure, HDL-cholesterol, non-HDL-cholesterol, body mass index, smoking habits, and heart rate. For some variables, both linear and quadratic terms were added to the models because the univariate analysis suggested the possibility of U-shaped relationships. Results Mean levels of cardiovascular risk factors at the baseline of the FINE study are reported in Table 1. Age was similar in the three countries, but significantly higher in Italy. Systolic and diastolic blood pressure were definitely higher in Italy than in Finland and the Netherlands. Mean levels of total cholesterol were the same in Finland and the Netherlands, but significantly lower in Italy. The same was true for non-HDLcholesterol. Levels of HDL-cholesterol were significantly higher in Italy, and lower in the other two countries. Body mass index was somewhat higher in Italy, intermediate in Finland and lowest in the Dutch men. Mean heart rate was similar in Finland and in Italy and significantly higher in the Netherlands. Prevalence of smokers was highest in the Netherlands, intermediate in Italy and definitely lowest in Finland. The reverse was true for ex-smokers. Ten-year all-cause death rate was highest in Finland (574 per 1000), and similar in the Netherlands (475 per 1000) and Italy (466 per 1000). All-cause age-adjusted death rates were computed in tertile classes of risk factors and in three arbitrary classes for smoking habit. Relative risks were computed comparing rates in tertile 1 with those in tertiles 2 and 3 (Table 2). Systolic and diastolic blood pressure were not related to all-cause mortality in any of the three countries. In Finland, total and non-HDL-cholesterol were inversely related to all-cause mortality. A similar but not statistically significant association was observed for HDL cholesterol. Total HDL- and non-HDLcholesterol were not associated with all-cause mortality in Italy and the Netherlands. Body mass index was inversely related to all-cause mortality in all three Risk factors and all-cause mortality in elderly men 575 Table 1 Mean level and standard deviation (SD) of risk factors at baseline. Standard errors are given for smoking habits Risk factor Age (years) Systolic BP (mmHg) Diastolic BP (mmHg) Total chol. (mmol . l 1) HDL-chol. (mmol . l 1) Non-HDL-chol. (mmol . l 1) Heart rate (beats . min 1) Body mass index (kg m 2) Never smokers (%) Ex smokers (%) Current smokers (%) Finland Netherlands Italy Mean SD Mean SD Mean SD 71·6 154·0 86·7 6·1 1·2 4·9 67·9 25·7 26·5 55·3 18·3 5·1 22·7* 11·2* 1·3 0·3 1·3 12·1* 4·1 1·6* 1·9 1·4* 71·5 151·1 85·4 6·1 1·1 5·0 75·6 25·5 18·4 51·4 30·2 5·3† 21·5† 11·5† 1·1† 0·3† 1·1† 14·1† 3·2† 1·30† 1·7† 1·5 72·0 166·7 91·3 5·9 1·3 4·6 68·6 25·9 29·5 43·9 26·6 4·5‡ 22·4‡ 11·1‡ 1·1‡ 0·3‡ 1·2‡ 13·5 3·6 1·75 1·9‡ 1·7‡ *P<0·05 Finland vs Netherlands. †P<0·05 Netherlands vs Italy. ‡P<0·05 Italy vs Finland. Table 2 Relative risk of 10-year age adjusted mortality from all causes as a function of risk factors measured at entry Risk factor Systolic blood pressure Diastolic blood pressure Total cholesterol HDL-cholesterol Non-HDL-cholesterol Body mass index Heart rate Smoking habits Tertiles or classes Finland Netherlands Italy 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Never Ex Current 1·00 0·91 0·99 1·00 0·93 0·95 1·00 0·81 0·81* 1·00 0·90 0·86 1·00 0·87 0·82* 1·00 0·85 0·80* 1·00 1·01 1·10 1·00 1·10 1·28† 1·00 1·05 1·11 1·00 0·91 1·02 1·00 0·96 0·95 1·00 0·95 0·95 1·00 0·89 0·94 1·00 0·91 0·93 1·00 1·15 1·33* 1·00 0·99 1·32† 1·00 0·97 1·12 1·00 0·97 1·15 1·00 1·00 0·95 1·00 0·83 0·88 1·00 1·18 0·98 1·00 0·86 0·91 1·00 1·20 1·34* 1·00 1·13 1·21 *P<0·05 between tertile 1 and tertile 3. †P<0·05 between never smokers and current smokers. countries. A significant difference between rates in tertile 3 vs tertile 1 was only found in Finland. The highest death rates were found in tertile 3 of heart rate in the three countries, and the difference with tertile 1 was significant in the Netherlands and Italy. In all three countries current smokers had the highest death rate. The results of multivariate analyses are presented in Table 3. In Finland smoking habits and heart rate were positively associated with all-cause mortality and HDL-cholesterol and body mass index inversely. In the Netherlands age, heart rate and smoking habits were also positively related to all-cause mortality and in Italy only age and heart rate. In the pooled analyses for the three countries age, heart rate and smoking were positively associated with 10-year all-cause mortality (Table 4). HDLcholesterol and body mass index were inversely associated. Systolic blood pressure was marginally associated Eur Heart J, Vol. 22, issue 7, April 2001 576 A. Menotti et al. Table 3 Solutions of the proportional hazards model predicting all-cause 10-year mortality as a function of risk factors measured at entry examination Country Finland Denominator=670; cases=369 Netherlands Denominator=879; cases=415 Italy Denominator=640; cases=273 Risk factor Coefficient S.E. P Coefficient S.E. P Coefficient S.E. P Age Systolic BP HDL chol. Non-HDL-chol. Heart rate BMI Smokers West Finland Montegiorgio 0·1014 0·00008 0·6095 0·0420 0·0108 0·04235 0·4412 0·2077 — 0·0109 0·0025 0·1786 0·0459 0·0042 0·0147 0·1592 0·1090 — 0·0001 0·9716 0·0006 0·3636 0·0099 0·0041 0·0056 0·0568 — 0·1053 0·0033 0·1637 0·0038 0·0094 0·0357 0·3918 — — 0·0096 0·0023 0·1880 0·0498 0·0035 0·0169 0·1452 — — 0·0001 0·1490 0·3839 0·9388 0·0070 0·0350 0·0070 — — 0·1318 0·0051 0·1690 0·0098 0·0183 0·0205 0·2179 — 0·0460 0·0140 0·0028 0·1917 0·0564 0·0042 0·0180 0·1660 — 0·1230 0·0001 0·0682 0·3779 0·8626 0·0001 0·2513 0·1894 — 0·7083 BP=blood pressure; BMI=body mass index. Table 4 Pooled analyses of the association between risk factors and 10-year all-cause mortality in three countries (denominator=2189; cases=1057) Risk factor Age Systolic BP HDL chol. Non-HDL-chol. Heart rate BMI Smokers West Finland Zutphen Crevalcore Montegiorgio Coefficient S.E. P value HR 0·1098 0·0025 0·3275 0·0180 0·0122 0·0320 0·3774 0·2649 0·5237 0·6345 0·5978 0·0064 0·0014 0·1070 0·0290 0·0023 0·0094 0·0892 0·1062 0·0953 0·1243 0·1154 0·0001 0·0797 0·0022 0·5337 0·0001 0·0006 0·0001 0·0126 0·0001 0·0001 0·0001 1·73 1·02 0·94 0·99 1·06 0·97 1·45 0·77 0·59 0·53 0·55 95% CI 1·63, 0·99, 0·90, 0·96, 1·04, 0·95, 1·22, 0·62, 0·49, 0·41, 0·44, 1·84 1·05 0·98 1·02 1·08 0·99 1·73 0·94 0·71 0·68 0·69 Differences for HR estimates 5 years 10 mmHg 0·2 mmol . l 1 0·5 mmol . l 1 5 beats . min 1 1 unit Yes–No vs East Finland vs East Finland vs East Finland vs East Finland BP=blood pressure; HR=hazard ratio; BMI=body mass index. and non-HDL-cholesterol was not related with all-cause mortality. Men in West Finland were at lower risk compared with men in East Finland. The lowest risk was observed in the Dutch and Italian cohorts. Besides linear models parabolic relationships were also studied by adding quadratic terms for the risk factors, which suggested a non-linear relationship in univariate analyses e.g. HDL and non-HDL-cholesterol. Consistent associations for the linear and quadratic component of the associations between HDL and nonHDL-cholesterol and 10-year all-cause mortality were found in Finland, the Netherlands and the pool of the three countries (results not shown). In order to study the influence of morbidity on the association between cardiovascular risk factors and 10-year all-cause mortality we excluded deaths occurring in the first 5 years of follow-up (Table 5). In this analysis age, systolic blood pressure, heart rate and cigarette smoking were positively associated with all-cause mortality. Non-HDL-cholesterol and body mass index were not related. Another side-analysis was conducted exploring the possible role of drug therapy, that is common in these Eur Heart J, Vol. 22, issue 7, April 2001 older men, on coefficients of cardiovascular risk factors. Only antihypertensive drugs were systematically and uniformly coded in the three national groups and therefore only these were considered. Prevalence of antihypertensive treatment was common overall in Finland and Italy (34% of all men) but relatively rare in the Netherlands (12%). All-cause death rates in 10 years were systematically higher among those taking antihypertensive drugs compared with those who did not (67% vs 51% in Finland; 58% vs 46% in the Netherlands; 50% vs 41% in Italy). The inclusion of antihypertensive treatment as a dummy variable in proportional hazards equations produced positive and highly significant coefficients for this covariate in Finland, the Netherlands and in the pool, but not in Italy. The hazards ratios ranged between 1·21 in Italy and 1·83 in Finland. However, no substantial influence was noted on the magnitude of risk factor coefficients that maintained the same significant levels as in the equation without the inclusion of antihypertensive treatment. A further analysis segregating those who took drugs from those who did not, did not reach any clear-cut conclusion due to the small numbers involved. Risk factors and all-cause mortality in elderly men 577 Table 5 All-cause mortality between 5 and 10 years of follow-up as a function of risk factors measured at entry, in the pool of the three countries with exclusion of first 5-year deaths (denominator 1674; cases 543) Risk factor Age Systolic BP HDL chol. Non-HDL-chol. Heart rate BMI Smokers West Finland Zutphen Crevalcore Montegiorgio Coefficient S.E. HR 0·1123 0·0035 0·2137 0·0649 0·0097 0·0182 0·5160 0·1998 0·3881 0·5321 0·5758 0·0092 0·0020 0·1494 0·0414 0·0033 0·0133 0·1245 0·1540 0·1394 0·1717 0·1631 1·75 1·04 0·96 0·97 1·05 0·98 1·67 0·82 0·68 0·59 0·56 95% CI 1·60, 1·00, 0·90, 0·93, 1·02, 0·96, 1·31, 0·61, 0·52, 0·42, 0·41, 1·92 1·18 1·02 1·01 1·18 1·01 2·14 1·11 0·89 0·82 0·77 Differences for HR estimates 5 years 10 mmHg 0·2 mmol . l 1 0·5 mmol . l 1 5 beats . min 1 1 unit Yes–No vs East Finland vs East Finland vs East Finland vs East Finland BP=blood pressure; HR=hazard ratio; BMI=body mass index. Discussion The results of the present study suggest that age, heart rate and smoking are important predictors of all-cause mortality in elderly men. HDL-cholesterol and body mass index were inversely related to all-cause mortality, but these associations were no longer statistically significant when the men who died during the first 5 years of follow-up were excluded. In contrast, systolic blood pressure was only positively associated with all-cause mortality after exclusion of early death. Non-HDLcholesterol was unrelated to all-cause mortality. The overall findings of the present study differ from those found after the first 5 years of follow-up[4]. On that occasion most risk factors other than age, heart rate and cigarette smoking had a distinct parabolic relationship with all-cause mortality. In this long-term experience, non-HDL-cholesterol was not predictive of all-cause mortality. HDL and body mass index were inversely related to all-cause mortality, but these associations were no longer statistically significant when the first 5 years of death were excluded. This suggests that with increasing age at death an early parabolic relationship of some risk factors with all-cause mortality may become inverse and even non-existent after excluding early death. These results emphasize the great importance of sufficient follow-up periods and the exclusion of morbid conditions by excluding early death in prospective studies on risk factors and mortality in the elderly. Cigarette smoking was consistently associated with all-cause mortality after 5 and 10 years of follow-up in elderly men from Finland, the Netherlands and Italy. These results are consistent with those found in a 5-year follow-up study carried out in the U.S.A. among persons aged 65 and older[9]. In an Italian study on persons aged 80 and over no association was found between cigarette smoking and all-cause mortality[10]. The results of the present study show that in elderly men the risk by former smokers did not differ significantly from that of those who had never smoked. This suggests that even in elderly men there is a health benefit in stopping smoking. The coronary risk of former smokers declines quickly after stopping, although a slight excess may persist for many years[11]. Heart rate is an important risk factor for cardiovascular mortality[12]. The present study shows that heart rate is an important independent predictor for both 5- and 10-year all-cause mortality in elderly men from Finland, the Netherlands and Italy. A recent paper from the Framingham Heart Study showed that reduced heart rate variability in the elderly is an independent risk factor for all-cause mortality[13]. There is increasing evidence that heart rate (variability) is an independent risk factor for all-cause mortality, indicating a protective effect of physical activity. A low heart rate is associated with a high level of physical activity[14]. In the present study, non-HDL-cholesterol, an indicator of LDL-cholesterol, was not related to all-cause mortality in any analysis. A direct relationship between total cholesterol and all-cause mortality was only found in cases with a very long follow-up period between cholesterol measurement and events or when measurements were taken at relatively young ages[15,16]. In the case of measurements at old age no, uncertain or inverse associations were found[10,17–22]. The direction of the association may depend upon age, gender and ethnicity[23]. In this study, parabolic relationships were shown between both HDL- and non-HDL-cholesterol on one side and all-cause mortality on the other, but they were lost when early deaths were excluded. HDL-cholesterol was inversely related to all-cause mortality in Finland and in the pooled data of Finland, the Netherlands and Italy. However, this association was influenced by morbid conditions present in these elderly men at the baseline study. In an analysis in which early death was excluded, the inverse relationship between HDL-cholesterol and all-cause mortality was no longer statistically significant in healthy elderly men. In the present study, systolic blood pressure was not associated with all-cause mortality in elderly men from Finland, the Netherlands and Italy. However, in a pooled analyses excluding early death, a positive Eur Heart J, Vol. 22, issue 7, April 2001 578 A. Menotti et al. significant association between systolic blood pressure and all-cause mortality was observed. These results indicate that in healthy elderly men systolic blood pressure may still be a predictor of all-cause mortality. Also in some other reports a positive relationship was observed between blood pressure and all-cause mortality[24,25]. However, no relationships, conflicting results and inverse associations have also been reported[26–30]. This may be due to differences in age, health status and treatment in different populations of elderly persons[31,32]. Our data suggested an inverse relationship between body mass index and all-cause mortality. This inverse relationship was no longer statistically significant after exclusion of early death. In the NHANES follow-up study, a curvilinear association was found between body weight and mortality in older persons[33]. The Copenhagen Study showed that the inverse relationship between body weight and mortality was partly explained by recent changes in weight or co-morbidity[34]. In fact, low body weight in the elderly may be the consequence of a serious disease, psychiatric disorders followed by anorexia, social factors, changes in food regulation, taste and olfactory sensitivity, loss of teeth, drug-nutrient interactions, etc.[35]. The results of the present study suggest that in healthy elderly men, body mass index is probably not related to all-cause mortality. The results of the present study showed that the health status of the elderly is important in judging relationships between cardiovascular risk factors and mortality. Comorbidity occurs frequently in the elderly and is critical in the understanding of the impact of risk factors on longevity[36]. In the present analyses the problem has been tackled by excluding early death in order to select a relatively healthy subgroup of the population. More detailed analyses on co-morbidity have been submitted elsewhere. At the same time, after this introductory exploration of the role of traditional cardiovascular risk factors on all-cause mortality, attention is moving toward the association between the same factors and functional capacity, quality of life, disability, selfsufficiency and depression, since information on these topics is available in this study. The relatively common use of antihypertensive drugs did not show any real influence on the magnitude of risk factor coefficients. The paradox of the positive and significant coefficients estimated for drug use is in contrast with the outcome of many clinical trials[37], but is easily explained by the selection made by the practising physician in deciding when and to whom to prescribe antihypertensive drugs. In conclusion age, heart rate and cigarette smoking were important predictors of all-cause mortality in the following 10 years in these European cohorts of elderly men. Non-HDL-cholesterol was not associated with all-cause mortality. Unequivocal associations were not found for HDL-cholesterol, blood pressure and body mass index. The observed associations for these risk factors were dependent on in- or excluding early death. The results of the present study suggest that lifestyleEur Heart J, Vol. 22, issue 7, April 2001 related risk factors e.g. smoking and heart rate (an indicator for physical activity) remain important predictors of longevity in elderly men in different European cultures. References [1] Keys A, ed. Coronary heart disease in seven countries. Circulation 1970; 41 (Suppl 1): 1–211. [2] Keys A, ed. Seven Countries: a multivariate analysis of death and coronary heart disease. Cambridge (MA): Harvard Univ Press, 1980: 1–381. [3] Menotti A, Keys A, Kromhout D et al. Inter-cohort differences in coronary heart disease mortality in the 25-year follow-up of the Seven Countries Study. Eur J Epidemiol 1993; 9: 527–36. [4] Menotti A, Kromhout D, Nissinen A et al. Short-term allcause mortality and its determinants in elderly males populations in Finland, the Netherlands and Italy: the FINE study. Prev Med 1996; 25: 319–26. [5] Rose G, Blackburn H. Cardiovascular survey methods. WHO, Geneva, 1968. [6] Kromhout D, Nissinen A, Menotti A, Bloemberg B, Pekkanen J, Giampaoli S. Total and HDL cholesterol and their correlates in elderly men in Finland, Italy and the Netherlands. Am J Epidemiol 1990; 131: 855–63. [7] WHO. International classification of diseases. 9th Revision. Geneva: WHO, 1975. [8] Cox DR. Regression models and life tables. J R Stat Soc 1972; B43: 187–220. [9] LaCroix AZ, Lang J, Scherr P et al. Smoking and mortality among older men and women in three communities. N Engl J Med 1991; 324: 1619–25. [10] Casiglia E, Spolaore P, Ginocchio G et al. Predictors of mortality in very old subjects aged 80 years or over. Eur J Epidemiol 1993; 9: 577–86. [11] Omenn GS, Anderson KW, Kronmal RA, Vlietstra RE. The temporal pattern of reduction of mortality risk after smoking cessation. Am J Prev Med 1990; 6: 251–7. [12] Platini P. Heart rate as a cardiovascular risk factor. Eur Heart J Suppl 1999; 1 (Suppl B): B3–B9. [13] Tsuji H, Venditti FJ Jr, Manders ES et al. Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study. Circulation 1994; 90: 878–83. [14] Bijnen FCH, Feskens EJM, Caspersen CJ et al. Physical activity and cardiovascular risk factors among elderly men in Finland, Italy and the Netherlands. Am J Epidemiol 1996; 143: 553–61. [15] Shipley MJ, Pocock SJ, Marmot MG. Does plasma cholesterol concentration predict mortality from coronary heart disease in elderly people? 18 year follow up in Whitehall study. BMJ 1991; 303: 89–92. [16] Smith GD, Shipley MJ, Marmot MG, Rose G. Plasma cholesterol concentration and mortality. The Whitehall Study. JAMA 1992; 267: 70–6. [17] Woo J, Chan SM, Mak YT. Swaminathan R. Biochemical predictors of short term mortality in elderly residents of chronic care institutions. J Clin Pathol 1989; 42: 1241–5. [18] Ives DG, Bonino P, Traven ND, Kuller LH. Morbidity and mortality in rural community-dwelling elderly with low total serum cholesterol. J Gerontol 1993; 48: M103–7. [19] Kronmal RA, Cain KC, Ye-Z, Omenn GS. Total serum cholesterol levels and mortality risk as a function of age. A report based on the Framingham data. Arch Intern Med 1993; 153: 1065–73. [20] Krumholz HM, Seeman TE, Merrill SS et al. Lack of association between cholesterol and coronary heart disease mortality and morbidity and all-cause mortality in persons older than 70 years. JAMA 1994; 272: 1335–40. Risk factors and all-cause mortality in elderly men [21] Weverling-Rijnsburger AWE, Blauw GJ, Lagaay AM, Knook DL, Meinders AE, Westendorp RGJ. Total cholesterol and risk of mortality in the oldest old. Lancet 1997; 350: 1119–23. [22] Higgins M, Keller JB. Cholesterol, coronary heart disease, and total mortality in middle-aged and elderly men and women in Tecumseh. Ann Epidemiol 1992; 2: 69–76. [23] White AD, Hames CG, Tyroler HA. Serum cholesterol and 20-year mortality in black and white men and women aged 65 and older in the Evans County Heart Study. Ann Epidemiol 1992; 2: 85–91. [24] Glynn RJ, Field TS, Rosner B, Hebert PR, Taylor JO, Hennekens CH. Evidence for a positive linear relation between blood pressure and mortality in elderly people. Lancet 1995; 345(8953): 825–9. [25] Vokonas PS, Kannel WB, Cupples LA. Epidemiology and risk of hypertension in the elderly. The Framingham Study. J Hypertens 1988; 6 (Suppl (1)): S3–S9. [26] Langer RD, Ganiats TG, Barrett-Connor EL. Factors associated with paradoxical survival at higher blood pressures in the very old. Am J Epidemiol 1991; 134: 29–38. [27] Langer RD, Criqui MH, Barrett-Connors EL, Klauber MR, Ganiats TG. Blood pressure change and survival after age 75. Hypertension 1993; 22: 551–9. [28] Ekbom T, Londholm L, Oden A et al. Blood pressure does not predict mortality in the elderly. J Hypertension 1988; 6 (Suppl 4): S626–8. [29] Busby WJ, Campbell AJ, Robertson MC. Is low blood pressure in elderly people just a consequence of heart disease and frailty? Age Ageing 1994; 23: 69–74. 579 [30] Boshuizen HC, Izaks GJ, Van Buuren S, Lighart GJ. Blood pressure and mortality in people aged 85 and over: Community based study. Br Med J 1998; 316: 1780–4. [31] Smith WM. The case for treating hypertension in the elderly. Am J Hypertens 1988; 1: 173S–8S. [32] Glynn RJ, Field TS, Satterfield S et al. Modification of increasing systolic blood pressure in the elderly during the 1980s. Am J Epidemiol 1993; 138: 365–79. [33] Cornoni-Huntley JC, Harris TB, Everett DF et al. An overview of body weight of older persons, including the impact on mortality. The National Health and Nutrition Examination Survey 1 — Epidemiologic Follow-up Study. J Clin Epidemiol 1991; 44: 743–53. [34] Suadicani P, Hein HO, Gyntelberg F. Weight changes and risk of ischaemic heart disease for middle aged and elderly men. An 8-year follow-up in the Copenhagen Male study. J Cardiovasc Risk 1997; 4: 25–32. [35] Fischer J, Johnson MA. Low body weight and weight loss in the aged. J Am Diet Assoc 1990; 90: 1697–706. [36] Cornoni-Huntley JC, Foley DJ, Guralnik JM. Co-morbidity analysis: a strategy for understanding mortality, disability and use of health care facilities of older people. Int J Epidemiol 1991; 20 (Suppl 1): S8–17. [37] Pitt B, Julian DG, Pocock SJ, eds. Clinical trials in cardiology. London, WB Saunders Co Ltd, 1997. Eur Heart J, Vol. 22, issue 7, April 2001
© Copyright 2026 Paperzz