Abstract
Objective
The social conditions are changing in the world, which may contribute to the change in lifestyle, including alcohol consumption and dietary intake; however, changes in metabolic complications in patients with alcoholic fatty liver disease (AFLD) have never been reported. Therefore, here we compare the metabolic complications in current AFLD with those of two decades ago.
Methods
We performed this cross-sectional study in a Japanese health check-up centre. Consecutive participants who visited the facilities between June 1994 and December 1997 or between January 2014 and December 2017 were enrolled. A total of 7499 participants (4804 men, 2695 women) in the past cohort and 20 029 participants (11 676 men, 8353 women) in the current cohort were entered to this study.
Results
The prevalence of drinkers in the current cohort was significantly lower (4.7%) than that in the past cohort in men (5.9%, p<0.001) but significantly higher in women (1.9% in the current vs 1.1% in the past, p<0.001). The prevalence of fatty liver in drinkers has increased in men (22.3% in the past cohort, 36.6% in the current cohort; p<0.001) but not in women (13.3% in the past cohort, 14.7% in the current cohort; p=1.0), while the prevalence of all fatty liver has increased in men and women (men: 24.0% in the past cohort, 36.2% in the current cohort, p<0.001; women: 9.3% in the past cohort, 12.8% in the current cohort, p<0.001). Regarding metabolic abnormalities, the prevalence of hyperglycaemia increased from 25.4% to 43.0% in men with AFLD (p<0.001) and from 25.1% to 39.1% in women with AFLD (p=1.0).
Conclusions
AFLD currently tends to be accompanied by hyperglycaemia. The prevalence of fatty liver in drinkers increased in men, although alcoholic consumptions did not increase. We should pay attention to fatty liver combined with hyperglycaemia for individuals who consume alcohol today.
Keywords: alcohol, fatty liver, epidemiology
Summary box.
What is already known about this subject?
The prevalence of alcohol-related liver disease (ARLD) has continued to increase after 2000, although the volume of alcohol consumption did not increase. Alcoholic fatty liver disease (AFLD) has been recognised as a new ARLD phenotype.
What are the new findings?
AFLD currently tends to be accompanied by hyperglycaemia.
How might it impact on clinical practice in the foreseeable future?
We should pay attention to fatty liver combined with hyperglycaemia for individuals who consume alcohol today.
Introduction
The proportion of alcohol-attributable deaths among total deaths decreased slightly between 2010 (5.6%) and 2016 (5.3%), whereas the proportion of alcohol-attributable disability-adjusted life years (DALYs) remained relatively stable (5.1% of all DALYs in 2010 and 2016).1 Alcohol-related liver disease (ARLD), which refers to liver damage caused by excess alcohol intake, is the most common chronic liver disease worldwide.2 The burden of ARLD was about 40% of deaths associated with liver cirrhosis.2 While hepatitis C virus-related mortality increased to 2.9 persons per 10 million per year, ARLD mortality increased to 4.4 persons per 10 million per year.3 Regarding treatment, medications for ARLD have not progressed, while the medication for virus hepatitis has been improved dramatically. Thus, ARLD has been recognised as an important liver disease.
In Japan, a nationwide survey for ARLD has been performed six times,4–8 and the prevalence of ARLD increased, along with the increase of alcohol consumption until 2000. In fact, the volume of alcohol consumption has increased since the 1960s–2000s.4–6 Interestingly, the prevalence of ARLD has continued to increase after 2000, although the volume of alcohol consumption did not increase after 2000.4–6
Alcoholic fatty liver disease (AFLD) has been recognised as a new ARLD phenotype. AFLD has been thought to be increasing with the spread of metabolic syndrome.9 ARLD is a disease associated with malnutrition. Although ARLD was reported to be associated with undernutrition in the past,7 it was recently reported to be associated with overnutrition. In addition, the overall alcohol consumption volume has decreased to 90% of its peak, although it decreased throughout the peak volume.4–6 On the other hand, the social conditions regarding dietary intakes have been changed, and fast food availability, high fat content of foods and high sugar content of foods are increasing. These social conditions may contribute to the change in metabolic complications in patients with AFLD. Here we compare the metabolic complications in current AFLD with those of two decades ago.
Methods
Study population and design
We previously performed a longitudinal cohort study, known as the non-alcoholic fatty liver disease (NAFLD) in the Gifu Area, Longitudinal Analysis (NAGALA) study, to reveal the impact of NAFLD on several types of chronic diseases.10 Patients who received health check-ups at Asahi University Hospital were invited to participate in the study and were excluded only when they were unwilling to participate.
In this study, we selected two cohorts separated by 20 years. The past cohort consisted of participants who underwent health check-ups between June 1994, when the centre was founded, and December 1997. The current cohort consisted of participants who underwent health check-ups from January 2014 to December 2017.
Participants with known liver disease were excluded from the study.10 11 Known liver disease was defined as positivity for hepatitis B antigen or hepatitis C antibody or a history of known viral, genetic, autoimmune or drug-induced liver disease.12
Data collection and measurements
Details of the data collection and measurement methods were described previously.13 Briefly, we used a standardised self-administered questionnaire to acquire information about each participant’s medical history and lifestyle factors, including smoking habits, alcoholic consumption and physical activity.10 13 We estimated the mean ethanol intake per week using the data of amounts and types of alcoholic beverages consumed per week and divided the participants into three groups: non-alcoholic, <210 g/week in men and <140 g/week in women; intermediate, 210–420 g/week in men and 140–280 g/week in women; and alcoholic, ≥420 g/week in men and ≥280 g/week in women.13
Regarding exercise, if individuals participated in any kind of sports activity at least once a week on a regular basis, we categorised them as regular exercisers.14 We used the conventional criteria for Asian obesity (body mass index (BMI)≥25 kg/m2).15 16 We defined the metabolic abnormality as follows: hyperglycaemia (fasting plasma glucose>5.6 mmol/L), hypertension (blood pressure>130/85 mm Hg), low high-density lipoprotein (HDL) cholesterol levels (serum HDL cholesterol<1.03 mmol/L in men and <1.29 mmol/L in women), and hypertriglyceridemia (serum triglycerides>1.70 mmol/L). We defined the metabolic syndrome score as the presence of metabolic syndrome components (range 0–5).16 NAFLD fibrosis score was calculated using the formula described elsewhere.17
Definition of fatty liver, NAFLD and AFLD
Fatty liver was diagnosed by the findings of abdominal ultrasonography performed by a trained technician.18 19 Fatty liver was diagnosed based on the findings of ultrasonography. Among the four known criteria, hepatorenal echo contrast and liver brightness are required for fatty liver. In addition, we categorised fatty liver into NAFLD and AFLD according to the volume of alcohol consumption as follows: NAFLD: <210 g/week in men and <140 g/week in women; and AFLD: ≥420 g/week in men and ≥280 g/week in women.20
Statistical analysis
We used two-sided test, and p values of 0.05 or less were considered statistically significant. We analysed all data using SPSS software V.25. We divided the participants into men and women. Means or frequencies of variables were calculated, and continuous variables are presented as median (IQR). To assess the statistical significance of intergroup differences, we used the χ2 test for categorical variables, or the Wilcoxon signed-rank test for continuous variables since the latter did not follow a normal distribution.
Results
The past cohort consisted of 7794 participants (5014 men and 2780 women), while the current cohort consisted of 20 385 participants (11 910 men and 8475 women). After the exclusion of participants with known liver disease, 7499 participants (4804 men and 2695 women) in the past cohort and 20 029 participants (11 676 men and 8353 women) in the current cohort were entered to this study (figure 1).
Figure 1.
Flowchart of inclusion and exclusion criteria. NAGALA, NAFLD in Gifu area, longitudinal analysis.
Among the male subjects, the prevalence of alcoholics in the current cohort was lower than that in the past cohort (5.9% vs 4.7%, respectively; p=0.002), while that of the non-alcoholic group was higher in the current cohort than in the past cohort (78.8% vs 83.4%, respectively; p<0.001). On the other hand, among women, the prevalence of alcoholics was higher in the current group than in the past group (1.1% vs 1.9%, respectively; p=0.009); however, the majority did not change in the non-alcoholic group (96.1% vs 95.3%, respectively; p=0.086).
Next, we investigated the characteristics of the participants according to alcohol consumption. The median age of the male drinkers increased from 48 (39.5–55.0) years old to 54 (47.5–59.0) years in the current group (p<0.001, table 1). On the other hand, those of female drinkers were not significantly different between cohorts (46 (38.0–53.5) years old in the past cohort and 47 (40.0–52.0) years old in the current cohort, p=0.55; table 1). The proportion of male drinkers in their 30s and 40s significantly decreased (30s: 5.5% in the past cohort and 2.2% in the current cohort, p<0.001; 40s: 6.2% in the past cohort and 4.3% in the current cohort, p=0.005; online supplementary table 1). On the other hand, the proportion of female drinkers in their 30s, 40s, 50s, and 60 s increased over the two decades (30s: 1.0% in the past cohort and 1.9% in the current cohort, p=0.111; 40s: 1.2% in the past cohort and 2.1% in the current cohort, p=0.047; 50s: 1.3% in the past cohort and 1.8% in the current cohort, p=0.257; 60s: 0% in the past cohort and 1.9% in the current cohort, p=0.014; online supplementary table 1).
Table 1.
Basic characteristics of alcohol drinkers
| Male drinkers | Female drinkers | |||||
| Characteristic | Past | Current | P value | Past | Current | P value |
| 283 | 546 | 30 | 156 | |||
| Fatty liver, % (n) | 22.3% (63) | 36.6% (200) | <0.001 | 13.3% (4) | 14.7% (23) | 1 |
| Diabetes, % (n) | 14.5% (41) | 12.1% (66) | 0.33 | 13.3% (4) | 3.8% (6) | 0.058 |
| High BMI, % (n) | 24.7% (70) | 25.1% (137) | 0.93 | 13.3% (4) | 12.8% (20) | 1 |
| High blood pressure, % (n) | 48.4% (137) | 58.4% (319) | 0.006 | 33.3% (10) | 25% (39) | 0.37 |
| High blood glucose, % (n) | 18% (51) | 28.9% (158) | 0.001 | 10% (3) | 12.2% (19) | 1 |
| High triglycerides, % (n) | 43.8% (124) | 23.8% (130) | <0.001 | 26.7% (8) | 6.4% (10) | 0.003 |
| Low HDL cholesterol, % (n) | 25.1% (71) | 4.9% (27) | <0.001 | 26.7% (8) | 3.8% (6) | <0.001 |
| Exerciser, % (n) | 14.8% (42) | 22.8% (124) | 0.008 | 13.3% (4) | 18.8% (29) | 0.61 |
| Never smoker, % (n) | 12.1% (34) | 11.5% (61) | <0.001 | 50% (14) | 39.6% (61) | 0.19 |
| Ex-smoker, % (n) | 21.8% (61) | 45.3% (241) | 14.3% (4) | 31.2% (48) | ||
| Current smoker, % (n) | 66.1% (185) | 43.2% (230) | 35.7% (10) | 29.2% (45) | ||
| Autonomous examinees, % (n) | 19.4% (55) | 19.2% (105) | 1.00 | 40% (12) | 21.2% (33) | 0.036 |
| Age (years) | 48 (39.5–55.0) | 54 (47.5–59.0) | <0.001 | 46 (38.0–53.5) | 47 (40.0–52.0) | 0.55 |
| BMI (kg/m2) | 25 (23.4–27.4) | 24.9 (23.4–27.0) | 0.16 | 21.3 (19.8–24.1) | 20.8 (19.4–23.5) | 0.86 |
| Systolic blood pressure (mm Hg) | 136 (125.0–148.8) | 130.5 (121.8–138.3) | 0.013 | 112.5 (107.0–140.0) | 113.8 (106.0–127.1) | 0.29 |
| Diastolic blood pressure (mm Hg) | 86 (79.3–96.3) | 83 (77.0–91.0) | 0.007 | 69.5 (67.3–87.0) | 71.5 (63.0–78.5) | 0.15 |
| Fasting blood glucose (mg/dL) | 98 (91.0–110.5) | 107 (100.0–119.0) | <0.001 | 92 (84.0–96.5) | 95 (90.0–102.0) | 0.75 |
| HbA1c (%) | 5.9 (5.6–6.2) | 5.4 (5.25–5.8) | <0.001 | 5.6 (5.0–6.05) | 5.2 (5.0–5.4) | 0.029 |
| Total cholesterol (mg/dL) | 223 (187.5–245.5) | 203 (184.5–228.5) | 0.046 | 199 (175.5–236.5) | 203 (181.0–235.3) | 0.71 |
| Triglycerides (mg/dL) | 173 (112.0–290.5) | 118 (75.5–179.0) | <0.001 | 110 (66.0–165.5) | 58 (40.0–93.3) | 0.01 |
| HDL cholesterol (mg/dL) | 44.3 (35.9–53.6) | 56 (47.5–68.0) | <0.001 | 62 (49.6–74.1) | 82 (67.0–99.0) | <0.001 |
| LDL cholesterol (mg/dL) | 132.9 (98.1–156.7) | 119.2 (98.8–141.7) | 0.72 | 111.3 (85.2–145.7) | 102 (82.8–133.5) | 0.16 |
| Non-HDL cholesterol (mg/dL) | 173 (145.6–200.5) | 144 (124.5–170.5) | <0.001 | 132.2 (107.2–170.5) | 114.5 (96.8–152.5) | 0.013 |
| AST (IU/L) | 28 (23.0–35.5) | 23 (18.0–33.0) | 0.026 | 19 (17.0–21.5) | 15 (12.0–19.3) | 0.03 |
| ALT (IU/L) | 28 (20.0–43.0) | 26 (18.5–36.5) | 0.65 | 12 (8.0–20.0) | 12 (9.75–16.0) | 0.45 |
| GGT (IU/L) | 104 (67.5–170.5) | 53 (33.0–89.5) | <0.001 | 29 (16.5–55.5) | 18 (13.8–26.0) | 0.096 |
| Alb (g/dL) | 4.6 (4.4–4.8) | 4.3 (4.1–4.5) | <0.001 | 4.3 (4.15–4.45) | 4.2 (4.0–4.3) | 0.012 |
| Platelet (103/mL) | 21.7 (19.1–25.2) | 22 (19.3–26.3) | 0.77 | 26.4 (22.3–30.3) | 24.3 (20.4–27.6) | 0.039 |
| FIB4 index | 1.19 (0.79–1.48) | 1.11 (0.83–1.52) | 0.16 | 0.94 (0.81–1.24) | 0.85 (0.63–1.16) | 0.16 |
| NAFLD fibrosis score | −1.93 (−2.93 to −0.84) | −1.66 (−2.49 to −0.73) | 0.15 | −2.22 (−2.91 to −1.92) | −2.36 (−3.1 to −1.77) | 0.66 |
| Alcohol consumption (mg/week) | 476.7 (462.0–666.0) | 490 (474.0–616.0) | 0.22 | 312 (306.3–654.5) | 378 (329.0–490.0) | 0.12 |
The χ2 test was applied to categorical variables and t-testwas applied to continuous variables. Categorical variables are expressed as percentage (n). Continuous variables are expressed as median (IQR).
Alb, albumin; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; GGT, γ-glutamyl transpeptidase; HbA1c, haemoglobin A1c; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NAFLD, non-alcoholic fatty liver disease.
bmjgast-2019-000359supp001.pdf (63KB, pdf)
The prevalence of fatty liver increased in both men and women (men: 24.0% in the past cohort and 36.2% in the current cohort, p<0.001; women: 9.3% in the past cohort and 12.8% in the current cohort, p<0.001). In men, the prevalence of AFLD tended to be higher than that in the past (22.3% vs 36.6%, respectively; p=0.077); in women, the prevalence of AFLD in the past and current cohorts were similar (13.3% vs 14.7%, respectively; p=1.0; table 1). On the other hand, the prevalence of NAFLD has also increased in both men and women (men: 24.7% in the past cohort vs 36.6% in the current cohort, p<0.001; women: 9.1% in the past cohort vs 12.9% in the current cohort, p<0.001; online supplementary table 2).
bmjgast-2019-000359supp002.pdf (73KB, pdf)
Regarding the age-specific prevalence of AFLD (online supplementary table 1), men in their 40s and 50s significantly increased (30s: 18.4% in the past cohort and 32.5% in the current cohort, p=0.021; 40s: 6.2% in the past cohort and 4.3% in the current cohort, p<0.001). In the same way, that of women with AFLD in their 50s increased over the two decades (14.5% in the past cohort and 19.5% in the current cohort, p=0.002; online supplementary table 1).
The median age of the participants with AFLD increased from 46.5 (38.8–68.5) years to 50 (44–55) years in men (p<0.001) but was not significantly different in women (46.5 (38.8–68.5) years in the past cohort, 50 (44.0–55.0) years in the current cohort, p=0.73; table 2). Regarding metabolic abnormalities, that of hyperglycaemia increased from 25.4% to 43.0% in men (p<0.001) and from 25.1% to 39.1% in women (p=1.0). The prevalence of hypertriglyceridemia significantly decreased from 68.3% to 34.0% in men (p<0.001); on the other hand, that in women was not significantly different between cohorts (25.0% in the past cohort and 21.7% in the current cohort, p=0.859).
Table 2.
Metabolic abnormalities in AFLD
| Male | Female | |||||
| Past | Current | P value | Past | Current | P value | |
| Abnormality | 63 | 200 | 4 | 23 | ||
| Diabetes, % (n) | 17.5% (11) | 19.5% (39) | 0.85 | 25% (1) | 17.4% (4) | 1 |
| High BMI, % (n) | 47.6% (30) | 49% (98) | 0.89 | 25% (1) | 56.5% (13) | 0.33 |
| High blood pressure, % (n) | 61.9% (39) | 75% (150) | 0.054 | 25% (1) | 52.2% (12) | 0.6 |
| High blood glucose, % (n) | 25.4% (16) | 43% (86) | 0.017 | 25% (1) | 39.1% (9) | 1 |
| High triglycerides, % (n) | 68.3% (43) | 34% (68) | <0.001 | 25% (1) | 21.7% (5) | 1 |
| Low HDL-cholesterol, % (n) | 30.2% (19) | 7.5% (15) | <0.001 | 75% (3) | 17.4% (4) | 0.042 |
| Exerciser, % (n) | 7.9% (5) | 20.6% (41) | 0.022 | 0% (0) | 21.7% (5) | 0.56 |
| Never smoker, % (n) | 22.2% (14) | 10.3% (20) | <0.001 | 25% (1) | 39.1% (9) | 0.19 |
| Ex-smoker, % (n) | 23.8% (15) | 57.2% (111) | 0% (0) | 30.4% (7) | ||
| Current smoker, % (n) | 54% (34) | 32.5% (63) | 75% (3) | 30.4% (7) | ||
| Age (years) | 46.5 (38.8–68.5) | 50 (44.0–55.0) | <0.001 | 46.5 (38.8–68.5) | 50 (44.0–55.0) | 0.73 |
| BMI (kg/m2) | 22.9 (20.8–29.2) | 26.6 (21.9–33.8) | 0.9 | 22.9 (20.8–29.2) | 26.6 (21.9–33.8) | 0.33 |
| Systolic blood pressure (mm Hg) | 109.8 (101.5–135.6) | 127.5 (115.0–134.5) | 0.002 | 109.8 (101.5–135.6) | 127.5 (115.0–134.5) | 0.15 |
| Diastolic blood pressure (mm Hg) | 70.5 (63.5–85.0) | 76 (71.0–81.5) | 0.003 | 70.5 (63.5–85.0) | 76 (71.0–81.5) | 0.31 |
| Fasting blood glucose (mg/dL) | 98.5 (79–202) | 103 (96–119) | 0.033 | 98.5 (79–202) | 103 (96–119) | 0.74 |
| HbA1c (%) | 5.85 (5.2–8.38) | 5.4 (5.1–5.5) | 0.002 | 5.85 (5.2–8.38) | 5.4 (5.1–5.5) | 0.24 |
| Total cholesterol (mg/dL) | 188.5 (154.5–266) | 220 (195–252) | 0.02 | 188.5 (154.5–266) | 220 (195–252) | 0.37 |
| Triglycerides (mg/dL) | 126 (111.3–266.8) | 94 (74.0–120.0) | <0.001 | 126 (111.3–266.8) | 94 (74.0–120.0) | 0.79 |
| HDL cholesterol (mg/dL) | 44.1 (33.4–61.3) | 66 (55.0–86.0) | <0.001 | 44.1 (33.4–61.3) | 66 (55.0–86.0) | 0.05 |
| LDL cholesterol (mg/dL) | 107.2 (84.8–177.6) | 126.2 (93.4–163.2) | 0.29 | 107.2 (84.8–177.6) | 126.2 (93.4–163.2) | 0.84 |
| Non-HDL cholesterol (mg/dL) | 131.9 (107.5–230.9) | 154 (128.0–187.0) | <0.001 | 131.9 (107.5–230.9) | 154 (128.0–187.0) | 0.98 |
| AST (IU/L) | 22 (17.3–56.8) | 20 (16.0–28.0) | 0.46 | 22 (17.3–56.8) | 20 (16.0–28.0) | 0.42 |
| ALT (IU/L) | 21.5 (14.3–52.8) | 20 (15.0–30.0) | 0.18 | 21.5 (14.3–52.8) | 20 (15.0–30.0) | 0.63 |
| GGT (IU/L) | 48.5 (23.5–112.5) | 35 (21.0–59.0) | <0.001 | 48.5 (23.5–112.5) | 35 (21.0–59.0) | 0.85 |
| Alb (g/dL) | 4.4 (3.9–4.68) | 4.2 (3.9–4.4) | <0.001 | 4.4 (3.9–4.68) | 4.2 (3.9–4.4) | 0.27 |
| Platelet (103/mL) | 25.7 (20.5–37.7) | 25.8 (20.4–28.5) | 0.53 | 25.7 (20.5–37.7) | 25.8 (20.4–28.5) | 0.48 |
| FIB4 index | 0.79 (0.59–2.45) | 0.96 (0.69–1.19) | 0.62 | 0.79 (0.59–2.45) | 0.96 (0.69–1.19) | 0.69 |
| NAFLD fibrosis score | −3.28 (−4.12 to −0.16) | −2.32 (−2.75 to −0.94) | 0.097 | −3.28 (−4.12 to −0.16) | −2.32 (−2.75 to −0.94) | 0.39 |
| Alcohol consumption (mg/week) | 816.2 (642.3–1577.1) | 450 (329.0–550.0) | 0.44 | 816.2 (642.3–1577.1) | 450 (329.0–550.0) | 0.005 |
The χ2 test was applied to categorical variables and the t-test was applied to continuous variables. Categorical variables are expressed as percentage (n). Continuous variables are expressed as median (IQR).
AFLD, alcoholic fatty liver disease; Alb, albumin; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; GGT, γ-glutamyl transpeptidase; HbA1c, haemoglobin A1c; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NAFLD, non-alcoholic fatty liver disease.
Discussion
Here we clearly presented that alcohol consumption and the proportion of intermediate alcohol consumption in men decreased. On the other hand, alcohol consumption in women tended to decrease; however, the proportion of alcoholic participants increased over the two decades. Nevertheless, the proportion of men with AFLD in the current cohort tended to increase. In addition, the presence of fatty liver significantly increased in both men and women; likewise, that of NAFLD significantly increased in both men and women. Contrary to our initial expectations, the prevalence of obesity increased among the overall participants, whereas that in the participants with AFLD did not differ between the past and current cohorts. An increase in non-obese diabetic patients is a common problem in East Asia.21 Actually, the prevalence of type 2 diabetes in East Asia has been increasing explosively, and it is expected that half of the world’s diabetic patients will be East Asians.22 In Japan, the Westernisation of lifestyles began at around 1955, which changed old Japanese lifestyles and increased the prevalence of type 2 diabetes. Therefore, discussion of the change in characteristics of Japanese people can help predict the future in East Asia.
The volume of alcohol consumption decreased in this study. In particular, the proportion of alcoholic men in their 30s and 40s decreased, as did the prevalence of AFLD. On the other hand, the proportions of alcoholic women in their 30s, 40s, 50s and 60s decreased; however, there was no significant difference in the prevalence of AFLD. Among the participants with AFLD, the volume of alcohol consumption did not change in men but decreased in women.
Regarding metabolic abnormalities of alcoholic participants, the prevalence of hypertension and hyperglycaemia increased in both men and women, whereas those of hypertriglyceridemia and low HDL cholesterol levels decreased. On the other hand, BMI significantly decreased in men and did not change in women.
Besides excessive alcohol intake, metabolic abnormalities exacerbate liver cirrhosis in patients with AFLD.7 On the other hand, alcoholic liver cirrhosis could develop in diabetic patients due to lower alcohol intake than non-diabetic patients.8 Impaired glucose tolerance is known to be associated with steatosis grade in patients with chronic liver disease.8 19 Thereafter, abnormal glucose metabolism is considered a risk factor for alcoholic liver disease (ALD), including AFLD. In line with these contexts, our study findings indicated that the prevalence of hyperglycaemia increased recently in individuals with AFLD; however, the volume of alcoholic consumption has not changed.
Emaciation used to be a problem in patients with ALD4–6; however, obesity is thought to be a new health threat for ALD.7 Our study findings indicated that the prevalence of obesity among individuals with AFLD did not increase. A possible explanation for this is decreased muscle mass. Several previous studies reported that muscle mass was not different or slightly increased until the 30s and started to decline around 45 or 50 years old.23 24 The participants with AFLD in the current cohort were older than those in the past. Therefore, decreased muscle mass, that is, sarcopenia, might lead to decreased body weight.
Thereafter, alcoholic consumption could exacerbate liver cirrhosis, even in patients with non-alcoholic steatohepatitis (NASH). NASH is now distinguished from ALD. Regarding the disease concept, men who had chronic hepatitis or fatty liver but consumed <210 g/week of alcohol are not diagnosed with NAFLD or AFLD.13 In the same way, women who had chronic hepatitis or fatty liver but consumed <140 g/week of alcohol are not diagnosed with either.13 In this study, we classified men who consumed 210–420 g/week of alcohol or women who consumed 140–280 g/week of alcohol as the intermediate group. We should manage the chronic hepatitis and fatty liver of the individuals of the intermediate group.
The strengths of our study include its use of the same standardised diagnosis of fatty liver10 and the standardised questionnaire of lifestyle factors, and its relatively large population-based longitudinal research. Our study also has some limitations. First, all patients were sampled from a health check-up centre. There may be bias in the sampling method. The subjects consisted of 3924 costly individuals, which might include the difference of willingess for health check-up programmes between the current cohort and the past cohort. However, we previously reported that the body weight in our study sample was well in accord with those reported in a larger population-based national nutrition survey done in Japan National Nutrition Survey 1990–199425 or 2014–2017 (https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html). The prevalence of hepatitis C virus (HCV) or hepatitis B virus (HBV) decreased in the current cohort compared with the past cohort. In Japan, the number of HBV or HCV has been reduced by the comprehensive control measures for hepatitis promoted by Ministry of Health, Labour and Welfare.26–28 However, we cannot exclude the possibility that our sample contained more health-conscious people than the general population in Japan. The prevalence of drinkers in our study sample was lower than those reported in Japan National Nutrition Survey 1995 or 2015 (https://www.mhlw.go.jp/bunya/kenkou/kenkou_eiyou_chousa.html) (online supplementary table 3). Second, we presented the age-specific prevalence of AFLD, but the denominator of all age subgroups in women of the past cohort was less than 15, and all except one subgroup in men were less than 100. We could not exclude the possible overestimation or underestimation due to the low denominator of the age subgroups. Third, the generalisability of our study in non-Japanese populations is low. Fourth, abdominal ultrasonography for evaluating fatty liver has limited diagnostic accuracy in cases of mild hepatic steatosis.29 However, we assessed fatty liver based on standardised diagnostic criteria and could have evaluated a certain level of fatty liver.18 Fifth, we had a limited ability to examine different levels of physical activity. If we could evaluate the frequency and intensity of exercise, a more accurate analysis would be possible.
bmjgast-2019-000359supp003.pdf (51.9KB, pdf)
In conclusion, AFLD currently tends to be accompanied by hyperglycaemia. The prevalence of fatty liver in drinkers increased in men, although alcoholic consumptions did not increase. These trends can help predict the future in East Asia. We should pay attention to fatty liver combined with hyperglycaemia for individuals who consume alcohol today.
Strengths and limitations
The study clearly indicated that AFLD currently tends to be accompanied by hyperglycaemia over two decades. This paper is the first report of metabolic complications of AFLD in a single facility comparing the current cohort with the past cohort. The limitation of the study is that all patients were sampled from a health check-up centre. There may be bias in the sampling method. However, the body weights in our study sample were well in accord with those reported in a larger population-based national nutrition survey done in Japan National Nutrition Survey 1990–1994 or 2014–2017.
Acknowledgments
All authors thank the medical staff of Asahi University Hospital. We would like to thank Editage (www.editage.com) for English language editing.
Footnotes
Contributors: All authors thank the medical staff of Asahi University Hospital and Editage (www.editage.com) for English language editing.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: MH and MF received grants, honoraria, and research support from AstraZeneca plc, Astellas Pharma Inc, Nippon Boehringer Ingelheim Co, Ltd, Daiichi Sankyo Co, Ltd, Eli Lilly Japan KK, Kyowa Hakko Kirin Company Ltd, Kissei Pharmaceutical Co, Ltd, MSD KK, Kowa Company, Ltd, Mitsubishi Tanabe Pharma Corporation, Novo Nordisk Pharma Ltd, Sanwa Kagaku Kenkyusho Co, Ltd, Sanofi KK, Ono Pharmaceutical Co, Ltd, Taisho Toyama Pharmaceutical Co, Ltd, and Takeda Pharmaceutical Co, Ltd. The sponsors were not involved in the study design; data collection, analysis, and interpretation; writing of this manuscript; or the decision to submit the article for publication. The authors, their immediate families, and any research foundations with which they are affiliated have not received any financial payments or other benefits from any commercial entity related to the subject of this article. The authors declare that, although they are affiliated with a department that is supported financially by a pharmaceutical company, they received no funding for this study, which does not alter their adherence to all the journal policies on sharing data and materials. The other authors have nothing to disclose.
Patient consent for publication: Not required.
Ethics approval: The current version of NAFLD in the Gifu Area, Longitudinal Analysis was approved by the medical ethics committee of Asahi University Hospital; the study design was opt-out sampling (ID 2018-09-01).
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: The data-sets of the current study are available from the corresponding author on reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjgast-2019-000359supp001.pdf (63KB, pdf)
bmjgast-2019-000359supp002.pdf (73KB, pdf)
bmjgast-2019-000359supp003.pdf (51.9KB, pdf)