Aging is associated with increased inflammatory activity (1,2). Serum C-reactive protein (CRP) is a sensitive marker of systemic low-grade inflammation and is an important predictor of type 2 diabetes (3,4) and cardiovascular disease (CVD) (5). Cross-sectional studies have found associations of CRP with metabolic syndrome (69) and its components, including obesity (10), insulin resistance (6,7,10), dyslipidemia (10), elevated blood pressure (11), and endothelial dysfunction (10). Prospective studies (3,4) in middle-aged individuals have observed that increased serum CRP levels predict the development of metabolic syndrome. No such data are available in the elderly. We tested the hypothesis that changes in serum CRP levels predict the development of metabolic syndrome in a population-based sample of elderly women followed-up for 12 years.

The subjects were examined as a part of the large population-based risk factor survey in 1982 (12). The women, aged 60–70 years, were invited for the baseline examinations of the present study in 1991–1992. None of them had diabetes. In 2003, all eligible women were invited for the 12-year follow-up study, and 113 of them participated. After excluding women with CRP >10 mg/l or missing data, the final study population included 103 women. The study protocol was approved by the ethics committee of the University of Kuopio. All participants gave written informed consent.

Venous blood samples were taken after a 12-h fast. Serum assays for high-sensitivity CRP (13), triglycerides, and HDL cholesterol (14) have been described earlier. Waist circumference and blood pressure were measured according to the MONICA protocol (15). Diseases, medications, smoking, and alcohol consumption were assessed by a self-administered questionnaire. Metabolic syndrome was defined by the National Cholesterol Education Program criteria (16).

Statistical analyses were performed using SPSS for Windows, Release 11.5. If required, CRP was log transformed to obtain a normal distribution. Comparisons between groups were analyzed using independent-samples t test and χ2 test. To test changes during 12 years, paired-samples t test and McNemar tests were used. Logistic regression analysis was used to calculate odds ratios for the development of metabolic syndrome in women with CRP increases as compared with those with a CRP decrease. A 0.05 significance level was used for all statistical tests.

At baseline and after 12 years of follow-up, 11 and 46% of the women, respectively, had metabolic syndrome (P < 0.001 for difference). At baseline, the mean CRP was twice as high in women with metabolic syndrome as compared with those without it (3.1 vs. 1.5 mg/l).

While CRP increased in 37 women who developed metabolic syndrome during 12 years (from 1.7 to 3.2 mg/l, P = 0.001), it did not change in 55 women who remained free of it or in 11 women with metabolic syndrome already at baseline. An increment of 1 mg/l in CRP during 12 years was associated with a 37% (P = 0.007) increase in the risk of developing metabolic syndrome after adjustment for baseline age, smoking, the use of drugs for hypercholesterolemia, hormone replacement therapy, and prevalent CVD. The 1 mg/l increment in CRP was associated with a 26% (P = 0.047) increase in the risk after further adjustment for waist circumference and with a 31% (P = 0.018) increase after additional adjustment for triglycerides. Adjustment for changes in other components of metabolic syndrome had no effect on the association.

Of women for whom CRP decreased, increased by 0–1 mg/l, or increased by >1 mg/l, metabolic syndrome developed in 22, 50, and 60%, respectively, during 12 years (P = 0.005 for difference). Compared with women for whom CRP decreased, those with a CRP increment of 0–1 mg/l had a 4.5-fold higher (P = 0.011) and those with a CRP increase of >1 mg/l had a 6.2-fold higher (P = 0.002) risk of developing metabolic syndrome after adjustment for baseline age, smoking, the use of drugs for hypercholesterolemia, hormone replacement therapy, and prevalent CVD (Table 1, model 1). The association of CRP change with the risk of developing metabolic syndrome was weakened after further adjustment for waist circumference or triglycerides, while changes in other components of metabolic syndrome did not affect the association (Table 1, models 2–6).

The new finding of the present 12-year follow-up study is that even a slight increment in serum CRP level was associated with an increased risk of developing metabolic syndrome in elderly women. Women with any increase in CRP level had a 5–6 times higher risk of metabolic syndrome than those whose CRP levels decreased. The relationship was independent of changes in abdominal obesity and other components of metabolic syndrome. These data emphasize CRP measurement to identify individuals at an increased risk of metabolic syndrome.

The present results agree with the findings from cross-sectional studies (69) and few prospective studies (3,4) of the association between elevated CRP levels and metabolic syndrome. Because most of these studies have only included middle-aged individuals or have not specifically studied elderly individuals, we investigated the association in a population-based cohort of elderly women with a follow-up of 12 years. Randomized clinical trials that include lifestyle interventions are needed to find out whether suppressed inflammation reduces the risk of developing metabolic syndrome, type 2 diabetes, and CVD.

Table 1—

Odds ratio (95% CI) for developing metabolic syndrome in women without it at baseline according to changes in CRP levels

CRP changenModel 1Model 2Model 3Model 4Model 5Model 6
<0 mg/l 41 
0–1 mg/l 26 4.5 (1.4–14.3) 2.7 (0.8–9.3) 3.7 (1.1–12.3) 3.9 (1.2–12.9) 6.1 (1.6–23.8) 5.2 (1.6–17.4) 
>1 mg/l 25 6.2 (1.9–19.9) 4.4 (1.3–15.0) 4.7 (1.4–15.6) 5.8 (1.8–19.0) 8.2 (2.2–31.5) 7.5 (2.2–25.6) 
P for trend  0.002 0.018 0.010 0.003 0.002 0.001 
CRP changenModel 1Model 2Model 3Model 4Model 5Model 6
<0 mg/l 41 
0–1 mg/l 26 4.5 (1.4–14.3) 2.7 (0.8–9.3) 3.7 (1.1–12.3) 3.9 (1.2–12.9) 6.1 (1.6–23.8) 5.2 (1.6–17.4) 
>1 mg/l 25 6.2 (1.9–19.9) 4.4 (1.3–15.0) 4.7 (1.4–15.6) 5.8 (1.8–19.0) 8.2 (2.2–31.5) 7.5 (2.2–25.6) 
P for trend  0.002 0.018 0.010 0.003 0.002 0.001 

Model 1: adjusted for age, smoking, the use of drugs for hypercholesterolemia, hormone replacement therapy, and cardiovascular diseases at baseline. Model 2: adjusted for variables in model 1 and change in waist circumference during follow-up. Model 3: adjusted for variables in model 1 and change in triglycerides during follow-up. Model 4: adjusted for variables in model 1 and change in HDL cholesterol during follow-up. Model 5: adjusted for variables in model 1 and change in blood glucose during follow-up. Model 6: adjusted for variables in model 1 and change in systolic blood pressure during follow-up.

Supported by grants from Ministry of Education Finland (134/722/2002), the Academy of Finland (101878), and the City of Kuopio.

1
Bruunsgaard H, Skinhoj P, Pedersen AN, Schroll M, Pedersen BK: Ageing, tumour necrosis factor-alpha (TNF-alpha) and atherosclerosis.
Clin Exp Immunol
121
:
255
–260,
2000
2
Straub RH, Cutolo M, Zietz B, Scholmerich J: The process of aging changes the interplay of the immune, endocrine and nervous systems.
Mech Ageing Dev
122
:
1591
–1611,
2001
3
Laaksonen DE, Niskanen L, Nyyssonen K, Punnonen K, Tuomainen TP, Valkonen VP, Salonen R, Salonen JT: C-reactive protein and the development of the metabolic syndrome and diabetes in middle-aged men.
Diabetologia
47
:
1403
–1410,
2004
4
Han TS, Sattar N, Williams K, Gonzalez-Villalpando C, Lean ME, Haffner SM: Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study.
Diabetes Care
25
:
2016
–2021,
2002
5
Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F, the Centers for Disease Control and Prevention, the American Heart Association: Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association.
Circulation
107
:
499
–511,
2003
6
Rutter MK, Meigs JB, Sullivan LM, D’Agostino RBS, Wilson PW: C-reactive protein, the metabolic syndrome, and prediction of cardiovascular events in the Framingham Offspring Study.
Circulation
110
:
380
–385,
2004
7
Wannamethee SG, Lowe GD, Shaper AG, Rumley A, Lennon L, Whincup PH: The metabolic syndrome and insulin resistance: relationship to haemostatic and inflammatory markers in older non-diabetic men.
Atherosclerosis
181
:
101
–108,
2005
8
Ford ES: The metabolic syndrome and C-reactive protein, fibrinogen, and leukocyte count: findings from the Third National Health and Nutrition Examination Survey.
Atherosclerosis
168
:
351
–358,
2003
9
Lee WY, Park JS, Noh SY, Rhee EJ, Sung KC, Kim BS, Kang JH, Kim SW, Lee MH, Park JR: C-reactive protein concentrations are related to insulin resistance and metabolic syndrome as defined by the ATP III report.
Int J Cardiol
97
:
101
–106,
2004
10
Yudkin JS, Stehouwer CD, Emeis JJ, Coppack SW: C-reactive protein in healthy subjects: Associations with obesity, insulin resistance, and endothelial dys-function: a potential role for cytokines originating from adipose tissue?
Arterioscler Thromb Vasc Biol
19
:
972
–978,
1999
11
Sesso HD, Buring JE, Rifai N, Blake GJ, Gaziano JM, Ridker PM: C-reactive protein and the risk of developing hypertension.
JAMA
290
:
2945
–2951,
2003
12
Vartiainen E, Puska P, Jousilahti P, Korhonen HJ, Tuomilehto J, Nissinen A: Twenty-year trends in coronary risk factors in north Karelia and in other areas of Finland.
Int J Epidemiol
23
:
495
–504,
1994
13
Rauramaa R, Halonen P, Vaisanen SB, Lakka TA, Schmidt-Trucksass A, Berg A, Penttila IM, Rankinen T, Bouchard C: Effects of aerobic physical exercise on inflammation and atherosclerosis in men: the DNASCO study: a six-year randomized, controlled trial.
Ann Intern Med
140
:
1007
–1014,
2004
14
Rauramaa R, Vaisanen SB, Rankinen T, Penttila IM, Saarikoski S, Tuomilehto J, Nissinen A: Inverse relation of physical activity and apolipoprotein AI to blood pressure in elderly women.
Med Sci Sports Exerc
27
:
164
–169,
1995
15
WHO MONICA Project: MONICA manual, part III, section 1 [online article],
2004
. Available at http://www.ktl.fi/publications/monica/manual/index.htm. Accessed 31 March 1994
16
Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III).
JAMA.
285
:
2486
–2497,
2001

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