Clinical Research
Copyright ©The Author(s) 2003. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. May 15, 2003; 9(5): 1106-1110
Published online May 15, 2003. doi: 10.3748/wjg.v9.i5.1106
Prevalence of nonalcoholic fatty liver among administrative officers in Shanghai: an epidemiological survey
Lei Shen, Jian-Gao Fan, Yan Shao, Min-De Zeng, Jun-Rong Wang, Guo-Hao Luo, Ji-Qiang Li, Si-Yao Chen
Lei Shen, Min-De Zeng, Guo-Hao Luo, Ji-Qiang Li, Department of Gastroenterology, Renji Hospital, Second Medical University, Shanghai 200001, China
Jian-Gao Fan, Yan Shao, Department of Gastroenterology, First People’s Hospital, Shanghai, China
Jun-Rong Wang, Central Hospital of Putou District, Shanghai, China
Si-Yao Chen, Zhongshan Hospital, Fudan University, Shanghai, China
Author contributions: All authors contributed equally to the work.
Correspondence to: Dr Jian-Gao Fan, Department of Gastroenterology, First People’s Hospital, Shanghai 200080, China. fanjg@citiz.net
Telephone: +86-21-63240090-3141 Fax: +86-21-63240825
Received: June 28, 2002
Revised: July 14, 2002
Accepted: July 25, 2002
Published online: May 15, 2003

Abstract

AIM: To determine the prevalence of nonalcoholic fatty liver in a specific population in Shanghai by an epidemiological survey, and to analyze risk factors of fatty liver.

METHODS: Total 4009 administrative officers who denied regular alcohol drinking participated in the survey, and underwent physical examination and laboratory tests. The important parameters were body mass index (BMI), waist hip circumferences ratio (WHR) and levels of serum lipids. Diagnosis of fatty liver was based on established real-time ultrasonographic criteria, the presence of an ultrasonographic pattern consistent with "bright liver", with evident ultrasonographic contrast between hepatic and renal parenchyma, vessel blurring, and narrowing of the lumen of the hepatic veins. Analysis of data was performed through SPSS for Windows statistical package.

RESULTS: The overall prevalence of fatty liver was 12.9%, 15.8% in males and 7.5% in females, and the prevalence of fatty liver in males younger than 50 years old, was significantly higher (13.3%) than that of in females (2.7%). But the difference between the sexes became less significant in people older than 50 years (19.1% vs 18.1%). The prevalence of fatty liver was increased with age; this was markedly presented in females younger than 50 years. Multiple variant regression analysis demonstrated that the prevalence of fatty liver was positively correlated to several risk factors, including male, aging (> 50yr), hyperlipidemia, impaired glucose tolerance/diabetes mellitus, hypertension and overweight/obesity.

CONCLUSION: There is a high prevalence of nonalcoholic fatty liver among certain population in Shanghai, to which overweight and hyperlipidemia are closely relevant.




INTRODUCTION

Fatty liver has increasingly been recognized as an important and common form of chronic liver disease over the past 20 years[1]. Fatty liver consists the intrahepatic accumulation of lipids. It is the commonest liver disease, accounting for abnormal liver function tests in the majority of asymptomatic subjects[2]. Although generally unprogressive, fatty liver is an important precursor to the development of fibrosis in aetiologically diverse conditions such as hepatitis C, and alcoholic and nonalcoholic liver disease[3]. Furthermore, it has the potential to lead to end-stage liver failure[4] via steatohepatitis from lipid peroxidation, even in the nonalcohol drinker, an entity that is being studied with growing interest in the affluent society[5]. Fatty liver is an increasingly common problem worldwide and has been reported in Japan[6,7], Australia[8], America[4,9], Europe[10,11], and the Middle East[12], although geographic variations in prevalence are evident. Along with the steady improvement of living level and wide use of ultrasonography, the number of patients with diagnosis of fatty liver is increasing in China recently. The objective of this study was to determine the prevalence of fatty liver in a specific population in Shanghai by epidemiological survey, and analysis of its risk factors.

MATERIALS AND METHODS
Study participants (demographics)

A total of 4375 administrative officers, who took part in annual regular physical examination from September 1 to November 30 in 1999 (in Renji Hospital and Central Hospital of Putuo District in Shanghai) were recruited. Complete laboratory data were obtained from 4009 participants, who denied regular alcohol drinking and included in this study. 2583 were males and 1426 females. The mean age of participants was 46 ± 14 years with ranged was 20-81 years.

Methods of examination

For each participant, an extensive medical history was obtained that included alcohol intake, history of chronic liver disease in first-degree relatives; a detailed history of viral hepatitis, gallstone disease and drug abuse; previous diagnosis of diabetes, hypertension and coronary heart disease.

Each participant also underwent a detailed physical examination, including of measurement of body weight, height, waist and hip circumferences. The body mass index (BMI) was calculated as: body weight in kg/(height in meter)2. The waist hip circumferences ratio (WHR) was calculated by dividing waist girth (halfway between the lower costal margin and the iliac crest in the mid expiratory phase of breathing while the subject was standing) by hip girth (maximum circumference around the buttocks) previously measured while the subject was wearing light underwear.

Laboratory tests included routine blood and urine analysis, serum alanine aminotransferase (ALT), total cholesterol (Tch), triglycerine (TG), low-density lipoprotein cholesterol (LDL-Ch), high-density-lipoprotein cholesterol (HDL-Ch), plasma glucose levels, hepatitis B surface antigen (HBsAg), routine chest fluorography, electrocardiography and optic fundus examination.

Ultrasonographic examination of liver and gallbladder was performed by two experienced ultrasonographers, using the Simens Sonoline-SI450 unit with 3.5MHz probe. Fatty liver was defined as the presence of an ultrasonographic pattern consistent with "bright liver," with evident ultrasonographic contrast between hepatic and renal parenchyma, vessel blurring, and narrowing of the lumen of the hepatic veins in the absence of findings suggestive of chronic liver disease[13,14].

Statistical analysis

All statistical analysis was processed by Clinical Epidemiological Network in Zhongshan Hospital, Fudan University with Software SPSS. Statistical analysis was performed by using the SPSS statistical package, version 7.1 (SPSS, Inc.). The following tests were applied, unpaired Student’s t-test, chi-squared test with Fisher’s exact test, analysis of variance, and logistic regression analysis (LRA). Rejection of the null hypothesis was set at P < 0.05. Analysis of data was performed through SPSS for Windows statistical package.

RESULTS
Body-mass index (BMI)

The mean BMI was 22.93 ± 2.82. Among them 31.6% had BMI > 24, which were considered as overweight, 53.3% had BMI between 20-24; and 15.1% had BMI < 20.

Waist-hip-circumference ratio (WHR)

The mean value of WHR was 0.83 ± 0.06. Among them 2.78% had WHR > 0.94, 21.1% had WHR between 0.88-0.94 and 76.2% had WHR < 0.88.

Blood lipids

The mean TG was 115.9 ± 84.6 mg/dl (1.31 ± 0.95 mmol/L), Tch 189.0 ± 56.7 mg/dl (4.89 ± 1.47 mmol/L). Among them 627 had hypertriglycerinemia only; 282 participants had hypercholestrolemia only and 256 participants had mixed hyperlipidemia. Thus, the prevalence of hyperlipidemia among participants was 28.9%. Each patient was classified into the following four previously defined hyperlipidemia phenotypes according to 12-hr fasting plasma lipid levels: hypertriglycemia (≥ 150 mg/dl, 1.7 mmol/L), hypercholesterinamia (≥ 220 mg/dl, 5.7 mmol/L), mixed hyperlipidemia and normal blood lipids.

Blood glucose, liver function and HBsAg

Among participants 86 (2.2%) suffered from impaired glucose tolerance, 93 (2.3%) had diabetes mellitus (DM); 59 (1.5%) suffered from increased ALT, and 257 (6.4%) were HBsAg positive.

Fatty liver and cholelithiasis

Fatty liver was detected with ultrasound examination in 516 participants (12.9%); cholesterol crystal in gallbladder was detected in 54 persons (1.3%), Gallstone or cholecystoectomy was noted in 358 participants (8.9%).

Influence of sex and aging on parameters

In this study, the mean age of male participants (47.3 ± 14.7 years) was older than the female participants (43.4 ± 23.5 years, P < 0.01). BMI, WHR, serum level of TG and glucose in male group was significantly higher than those in female group. Levels of serum Tch and LDL-Ch were similar in both groups (Table 1).

Table 1 Obesity indices and lipid parameters in males and females.
ParametersMaleFemaleP value
BMI23.5 ± 2.721.5 ± 2.6< 0.001
WHR0.86 ± 0.050.79 ± 0.06< 0.001
TG (mg/dl)126.3 ± 87.797.2 ± 75.2< 0.001
TCh (mg/dl)188.8 ± 56.7189.3 ± 56.6> 0.050
HDL-Ch (mg/dl)81.4 ± 75.484.4 ± 57.0> 0.050
LDL-Ch (mg/dl)143.1 ± 166.0133.5 ± 153.7> 0.050

As presented in Table 2, there are more participants with increased ALT, positive HBsAg and arteriosclerosis of optic fudus in male group. Prevalence of DM, coronary artery disease, hypertension and fatty liver are significantly higher in male group than those in female group; but the prevalence of cholelithiasis is similar in both groups.

Table 2 Difference of prevalences of several diseases in males and females.
DiseasesMale%Female%P value
Abnormal ALT2.10.35< 0.001
Positive HBsAg7.34.8< 0.001
Arteriosclerosis of optic fundus13.46.3< 0.001
Diabetes mellitus5.13.3< 0.001
Coronary artery disease3.52.3< 0.001
Hypertension15.38.2< 0.001
Gallstone8.98.9> 0.050
Fatty liver15.87.5< 0.001

Table 3 shows sex and age related change of hyperlipidemia. In participants younger than 50 years old, more cases of hypertriglycernemia are detected, whereas participants older than 50 years older, prevalence of hypercholesterolemia increase significantly, especially in females. In whole group the prevalence of three hyperlipidemia types increase significantly with aging.

Table 3 Relation between hyperlipidemia and age in males and females.
Age(yr)SexnHypertriglyc erinemia%Hyperchole sterolemia%Mixed Hyperlipide mia%Sum%
< 30Male31411.61.51.214.3
Female2571.12.70.74.5
Total5716.92.11.09.0
30-50Male120217.33.94.926.1
Female7264.54.91.310.7
Total192812.54.33.620.3
51-64Male70222.66.99.238.7
Female32416.918.517.552.9
Total102620.810.611.843.2
≥ 65Male36528.512.911.352.7
Female11924.225.014.363.5
Total48427.427.412.055.4

Among females younger than 50 years old, the prevalence of hyperlipidemia is lower than that among males. After 50 years of age this prevalence was significantly higher than in males.

As in showed the Table 4, the prevalence of fatty liver increased with aging, which is markedly presented in females younger than 50 years. The prevalence of fatty liver in males younger than 50 years is significantly higher (13.3%) than that in females (2.7%). In participants older than 50 years, no significant difference of prevalence of fatty liver is noted between males and females (19.1% vs 18.1%).

Table 4 Prevalence of fatty liver in groups of different sex and ages.
Age(years)SexNumberFatty liver n%
< 30Males31411 (6.4)
Females2572 (1.6)
Total57113 (2.3)
30-50Males1202190 (20.7)
Females72625 (5.4)
Total1928215 (11.2)
51-64Males702125 (17.9)
Females32457 (19.7)
Total1026182 (17.7)
≥ 65Males36583 (22.7)
Females11923 (19.3)
Total484106 (21.9)

In this survey 516 patients (12.9%) with fatty liver were detected by ultrasonography. The age, BMI, WHR, levels of serum TG and Tch of patients with fatty liver were significantly higher than participants without fatty liver (3493 persons). The details were presented in Table 5. The results of monovariant regression analysis of relation between prevalence of fatty liver and other factors was presented in Table 6. Prevalence of fatty liver was associated with several parameters, including sex, BMI, and WHR.

Table 5 Obesity indices and lipid parameters in groups with and without fatty liver.
Age (years)BMI (kg/m2)WHRTG (mg/dl)TCh (mg/dl)
Group without fatty liver44.6 ± 14.322.2 ± 2.40.8 ± 0.1105.0 ± 78.4186.2 ± 59.5
Group with fatty liver52.3 ± 13.026.0 ± 2.40.9 ± 0.1168.6 ± 93.4202.2 ± 37.7
Table 6 Results of monovariant regression analysis of fatty liver and various parameters.
ParametersB valueβ valueT valueP value
Sex0.0380.0632.590.0000
Age0.530.0622.790.0018
BMI0.0730.52223.890.0000
Waist circumference0.0100.2165.870.0000
WHR0.7820.1294.960.0000
TG0.0000.0843.080.0021
TCh-0.0000-0.079-3.120.0016
HDL-Ch-0.000-0.047-2.170.0300
LDL-Ch-0.0000.3322.610.0092
Hyperlipidemia0.0940.1607.270.0000
Arteriosclerosis0.0620.0873.590.0000
Hypertension0.0680.0994.450.0000
Diabetes mellitus0.1490.1303.420.0000
Coronary heart disease0.1420.0673.140.0018
Abnormal ALT0.1560.0693.240.0012
Positive HBsAg-0.090.063-3.020.0026

Stepwise logistic multivariant regression analysis of relationship between prevalence of fatty liver and other parameters demonstrated that 9 parameters were closely related with prevalence of fatty liver. As presented in order of importance, these were WHR, increased ALT, BMI, and hypertension, DM and impaired glucose tolerance, hyperlipidemia, male sex and arteriosclerosis of optic fundus (Table 7).

Table 7 Results of Logistic multivariant regression analysis.
BSEWalddfSigRExp (B)
WHR2.20.19139.210.000.309.1
Abnormal ALT1.30.2627.010.000.083.8
BMI0.90.1535.310.000.152.4
Positive HBsAg-0.70.249.310.00-0.040.05
Hyperlipidemia0.60.0699.910.000.161.8
Diabetes mellitus0.50.1121.510.000.071.7
Hyperlipidemia0.40.0581.010.000.151.5
Sex0.40.0555.110.000.121.5
Arteriosclerosis0.20.096.810.010.041.3
DISCUSSION

The natural history of fatty liver ranges from asymptomatic indolent to end stage liver disease. Diagnosis of nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH) may involve ultrasonography, liver biopsy and recognition of related condition[1]. Fatty liver is a common disease of liver without specific clinical features and lack of confirmatory laboratory tests[15-17]. In patients undergoing liver biopsy, the prevalence of NAFL ranges between 15% and 39%[18]. This wide range in the prevalence of NAFL is probably related to differences in the study design. Because patients undergoing liver biopsy were highly selected, these data might not reflect the true prevalence of NAFL in the general population. Therefore, current best estimates make the prevalence of NAFL approximately 20% and of NASH 2%-3% in the general population[18].

While it could be argued that in the absence of histology this figure may not reflect the true prevalence of fatty infiltration, previous studies in which ultrasound findings were compared to histologic results indicate that the overall sensitivity and specificity of ultrasound examinations for the diagnosis of fatty liver are approximately 80%-95% and 90%-95% respectively[13,19-21]. In the present study, the prevalence of NAFL was 15.8% in males and 7.5% in females according to ultrasonic criteria of diagnosis for fatty liver.

This study was limited in survey of the administrative officers in two districts of Shanghai. Nevertheless, these participants were representatives of the health status of administrative officers. In comparison with general population, participants of this study had better living condition and less physical exercises. The results of this study showed higher prevalence of hyperlipidemia and fatty liver in participants than those in general population in Shanghai.

Several authors suggested that fatty liver should be included in "metabolic syndrome"[2,14,22]. Evidence for this hypothesis derives, in our opinion, from epidemiology, metabolism, and experimental pathology. The results of this survey showed that overweight was detected in 31.6% of participants and hyperlipidemia in 28.8%, and the prevalence of fatty liver was 12.9%. The prevalence of DM, hypertension and coronary heart disease was 4.5%, 12.8% and 3.1% respectively, suggesting that overweight and associated diseases are becoming common diseases among administrative officers in Shanghai.

Hyperlipidemia is considered as a risk factor for fatty infiltration of the liver[23,24]. The pathogenesis of nonalcoholic steatohepatitis is poorly understood, but lipid peroxidation and oxidative stress are the leading culprits[16,25]. Diabetes and hypertriglyceridemia were the two states predictive of fatty liver that is consistent with the presence of insulin resistance[23]. NAFL correlates significantly with both anthropometrical data BMI, WHR and with abdominal fat[26]. In clinical practice BMI over 24 used as diagnostic criteria for overweight in China.

In this study, both monovariant and multivariant regression analysis demonstrated a close correlation between BMI and fatty liver. High WHR suggests increased abdominal fatty tissue, which is a strong predictive factor for DM and other metabolism abnormalities[27-30]. Increased WHR is considered as the most important risk factor for fatty liver. The development of fatty liver may be a result of transportation of the abnormal fatty tissue into the liver[23,31,32]. BMI was found to be an independent predictor of fatty liver in either sex[33]. Both monovariant and multi variant regression analysis revealed that hypertension is correlated with fatty liver. The relation between fatty liver and impaired glucose tolerance, DM and hyperlipidemia has been well established[34-43], and was confirmed again in this study. Fatty liver could be gender-related[33]. The results of this study showed that in male participants younger than 50 years old, the prevalence of three types of hyperlipidemia and fatty liver were markedly higher than those in females. In participants older than 50 years old the prevalence were similar in males and females. This result suggested that female hormones might have favorable effects on lipid metabolism in liver. Monovariant analysis showed that many factors were correlated with prevalence of fatty liver. However, logistic multivariant regression analysis demonstrated that only nine parameters were closely correlated with fatty liver.

In majority of patients with fatty liver, the hepatic function is normal, therefore determination of ALT can not reflect the content of fat retention in liver[7,44]. Results of this study showed negative correlation between positive HBsAg and fatty liver, which might explain that chronic hepatitis B infection would not induce the development of fatty liver. The sensibility by liver function tests to detect fatty liver was inferior to that of BMI[7]. But hepatitis C may be linked to hepatic steatosis[45-47].

This epidemiological survey demonstrated that fatty liver is a common disease among administrative officers in Shanghai. Overweight, hyperlipidemia, and DM are high risk factors for fatty liver. It is clear that NAFL is a chronic liver disease with the potential for progression to cirrhosis and to cause liver-related death[48,50]. Although ultrasonography provides the prevalence of NAFL, it can not delineate the different histologic form of NAFL[18]. If it is clinically indicated, a liver biopsy to assess the degree of inflammation and fibrosis should be performed during follow-up[10]. To reduce the incidence of fatty liver, comprehensive measures are necessary[32,51-53].

Footnotes

Edited by Zhang JZ

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