Literature DB >> 24843707

Twenty-year trend of increasing obesity in young patients with poorly controlled type 2 diabetes at first diagnosis in urban Japan.

Akifumi Kushiyama1, Yoko Yoshida1, Takako Kikuchi1, Naoki Suzawa1, Mayumi Yamamoto1, Kentaro Tanaka1, Mineko Okayasu1, Tazu Tahara1, Toshiko Takao1, Yukiko Onishi1, Shoji Kawazu1.   

Abstract

AIMS/
INTRODUCTION: To investigate trends over the past 20 years for the prevalence of obesity and glycemic control in association with a patient's first hospital visit for type 2 diabetes mellitus.
MATERIALS AND METHODS: This was a historical, cross-sectional, time-series, single-center study carried out at Marunouchi Hospital. Data from type 2 diabetic patients who were never treated until their first hospital visit were analyzed for the following periods: 1986-1987 (group A, n = 453), 1996-1997 (group B, n = 547) and 2006-2008 (group C, n = 443). Data on each patient's body mass index (BMI), age, untreated duration and glycated hemoglobin levels were also collected.
RESULTS: Obesity in younger patients (below age 40 years and ages 40-49 years in group C) with poor glycemic control increased over time. Patients with a BMI of <21.0 kg/m(2) or ≥23.0 kg/m(2) showed worse glycemic control than those with a BMI of 21.0-23.0 kg/m(2) in group C. Younger patients had worse glycemic control and shorter untreated durations in group C. A BMI ≥23.0 kg/m(2) was an independent risk factor for glycated hemoglobin levels ≥8.4% in group C, even after correction for sex, age, untreated duration and symptoms.
CONCLUSIONS: In recent years, glycemic control has worsened in young, obese patients in urban Japan. Obesity is rapidly increasing in younger patients, and patients with a BMI ≥23.0 kg/m(2) might be candidates for diabetes screening. This trial was registered with the University Medical Information Network Clinical Trials Registry (no. UMIN000005725).

Entities:  

Keywords:  Body mass index; Glycated hemoglobin; Screening criteria

Year:  2013        PMID: 24843707      PMCID: PMC4020248          DOI: 10.1111/jdi.12090

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

In Japanese people, a lower insulinogenic capacity has led to poor glucose tolerance in the leaner population compared with similar populations in the Western countries1. This genetic background and a longer life expectancy have increased the prevalence of diabetes in the country. Studies3 of Japanese–Americans showed the possibility that Western influences caused increased obesity and type 2 diabetes mellitus. In fact, the National Nutrition Survey of Japan4 found that the prevalence of obesity in men (body mass index [BMI] 25.0 kg/m2) was 30.4% in 2007, almost twice the value recorded in 1977 (15.6%). The increasing prevalence of obese diabetic patients was previously reported in the Hisayama Study5 and other observational studies. Our hypothesis is that increasing obesity is associated with poor glycemic control in type 2 diabetic patients at the first hospital visit over time. In Japan, most diabetic patients are identified through routine health examinations. As a product of the Industrial Safety and Health Act governmental statute, the routine health examination system tends to be more effective in screening salaried employees than self‐employed individuals. We tested this hypothesis at the Institute for Adult Diseases, Asahi Life Foundation (also called Marunouchi Hospital), an urban hospital in Marunouchi in the main economic center of Tokyo, Japan. Most new patients were salaried employees. For 25 years, Marunouchi Hospital has been visited by the third largest number of diabetic patients annually in Japan and provides diagnosis and treatment for hundreds of patients with diabetes. In the past decade, the glycated hemoglobin (HbA1c) test has been used in many health examinations for the screening of diabetes. The recommended threshold for HbA1c levels has always been higher (>5.2%) than the diagnostic criterion. The HbA1c level at first visit correlates strongly with disease duration, as documented in the UK Prospective Diabetes Study6. It is possible that the HbA1c levels at the first visit have been decreasing, which contradicts the aforementioned hypothesis. We believe that the results of this investigation will provide valuable information for refining the screening criteria for type 2 diabetes or prediabetes in modern‐day Japan. We analyzed the characteristics of type 2 diabetic patients diagnosed for the first time at Marunouchi Hospital. To this end, we evaluated data from either 2‐year or 3‐year periods in each of the three consecutive decades.

Materials and Methods

Study Design and Recruitment Criteria

This was a historical, cross‐sectional, time‐series, single‐center study. The protocol was approved by the Committee of Ethics in Marunouchi Hospital and registered in the University Medical Information Network Clinical Trials Registry (study ID: UMIN000005725). Data from patients diagnosed with type 2 diabetes at their first visit to Marunouchi Hospital were evaluated, as previously described7. Group A included data from 1986 and 1987; group B included data from 1996 and 1997; and group C included data from 2006–2008. The Japanese diabetic criteria8, published in a report by the Japan Diabetes Society (JDS) circa 1999, were used as the diagnostic criteria. These criteria included a fasting plasma glucose level ≥126 mg/dL, casual plasma glucose level ≥200 mg/dL and/or HbA1c level ≥6.5%. Hyperglycemic symptoms were defined as thirst, polyposia, polyuria, general malaise and weight loss. As reference data for comparing the prevalence of obesity in groups A, B and C, the prevalence of BMI ≥25.0 kg/m2 in the general population of Japan was cited from the National Nutrition Surveys in 1987, 1997 and 2007, respectively.

Measurements and Statistics

The time when hyperglycemia was first noted was defined as the first recognition of a high plasma glucose level or glucosuria in the health examination or in another institution. We defined untreated duration as the interval from that time until the patient's first visit to our hospital when diabetes was diagnosed without any medical treatment for diabetes, including diet and/or exercise therapy. Measurement of HbA1c levels was carried out using diabetes analyzers (Tosoh Bioscience, Tokyo, Japan), in accordance with the manufacturer instructions. The HLC‐723 GHb analyzer was used for group A, the HLC‐723 GHb type 3 analyzer was used for group B and the HLC‐723 GHb G8 analyzer was used for group C. To allow comparison of these three sets of test data, nominal HbA1c levels were converted to standardized HbA1c values using the National Glycohemoglobin Standardization Program as follows: for group A, HbA1c (%) = 0.767 × (nominal HbA1c [%]) + 1.2254; for group B, HbA1c (%) = 0.856 × (nominal HbA1c [%]) + 1.0358; and for group C, 0.8766 × (nominal HbA1c [%]) + 1.005 until 5 January 2007, and thereafter nominal HbA1c [%] + 0.4. These equations were derived from duplicate analyses using old and/or new apparatuses or standard substances, including international standards10. Two equations were used for group C, because the standard substance for testing had been changed from Japan Diabetes Society Lot 2 to Japan Diabetes Society Lot 3. These calibrations correlated well with each other. Glycemic control was considered poor if the HbA1c level was ≥8.4%. This corresponds to a HbA1c (JDS) level ≥8.0%, which is generally considered to be ‘poor’ based on the evidence13 of prevention of diabetic complications in Japan. Statistical analysis was carried out using jmp‐8.0.1 software (SAS Institute Inc, Cary, NC, USA). Univariate and multivariate logistic analyses were applied to estimate the risk for HbA1c level ≥8.4%. Statistical significance was defined as P < 0.05.

Results

Emerging Trend for Obesity in Young Patients with Type 2 Diabetes

The number of patients who qualified for the present study was 453 in group A, 547 in group B and 443 in group C. The sex ratio and age distributions were similar in each group. Untreated type 2 diabetic male patients aged younger than 40 years in groups B and C, and aged 40–49 years in group C who visited our hospital showed an increased prevalence of obesity, with a BMI of more than 25.0 kg/m2, compared with the reported prevalence in the general Japanese population (Figure 1). The prevalence in male patients of other age groups was similar to those in the general population. Although the number was smaller in female patients, the tendency to obesity in the younger generations (ages <40 and 40–49 years) was similar among both sexes in group C (data not shown).
Figure 1

Comparison of the reported prevalence of body mass index (BMI) ≥25.0 kg/m2 in the general Japanese population, and male, untreated, type 2 diabetic patients who visited the Institute for Adult Diseases, Asahi Life Foundation (also called Marunouchi Hospital) in Tokyo, Japan, during three different decades showed that younger adults were less obese than older adults. The reported prevalence rates of BMI ≥25.0 kg/m2 in the general Japanese population used as reference data for group A, group B and group C were obtained from the National Nutrition Surveys carried out in 1987, 1997 and 2007, respectively.

Comparison of the reported prevalence of body mass index (BMI) ≥25.0 kg/m2 in the general Japanese population, and male, untreated, type 2 diabetic patients who visited the Institute for Adult Diseases, Asahi Life Foundation (also called Marunouchi Hospital) in Tokyo, Japan, during three different decades showed that younger adults were less obese than older adults. The reported prevalence rates of BMI ≥25.0 kg/m2 in the general Japanese population used as reference data for group A, group B and group C were obtained from the National Nutrition Surveys carried out in 1987, 1997 and 2007, respectively.

Patient Characteristics at the First Visit

Table 1 shows the characteristics of the patients. The mean HbA1c level was 7.7 ± 1.7% in group A, 8.0 ± 1.7% in group B and 8.7 ± 2.2% in group C. The HbA1c level in group C was significantly higher than those in the other groups. The prevalence of HbA1c level above 8.4% was significantly higher in group C (Figure 2a). The untreated duration was shorter in group C. BMI, especially prevalence of BMI above 25.0 kg/m2, increased over time. The prevalence of symptoms (thirst, polyposia, polyuria, general malaise and weight loss) was significantly lower over time.
Table 1

Characteristics of recruited patients with type 2 diabetes first diagnosed at the Institute for Adult Diseases, Asahi Life Foundation in Tokyo, Japan, from 1986 to 1987 (group A), from 1996 to 1997 (group B) and from 2006 to 2008 (group C)

Years at the first visit nGroup A1986–1987453Group B1996–1997547Group C2006–2008443
Male/female 350/88466/81370/73
Age (years) 52.2 ± 11.052.6 ± 9.952.7 ± 10.9
Untreated duration (years) 6.5 ± 7.76.5 ± 6.25.3 ± 6.0#
BMI (kg/m2) 23.3 ± 3.524.0 ± 3.7*25.0 ± 4.4***###
BMI ≥25 (%) 24.732.0*43.1***###
HbA1c (%)7.3 ± 1.77.6 ± 1.7***8.3 ± 2.2***
HbA1c ≥8.4 (%)30.234.749.9***###
Symptoms (%)16.310.1***8.0***###

BMI, body mass index; HbA1c, glycated hemoglobin. Statistical significance between group A and B is shown as *P < 0.05, **P < 0.01 and ***P < 0.001, and statistical significance between group A and C is shown as #P < 0.05, ##P < 0.01 and ###P < 0.001.

Figure 2

Associations between glycated hemoglobin (HbA1c) levels and the age, estimated untreated duration, and body mass index (BMI) are shown. (a) The frequencies of patients with HbA1c levels ≥8.4% stratified for the BMI are presented as plots and smoothing lines. (b) The frequencies of patients with HbA1c levels ≥8.4% stratified for the age generation are presented as plots and smoothing lines. (c) The frequencies of patients with HbA1c levels ≥8.4% stratified for the untreated duration are presented as plots and smoothing lines.

BMI, body mass index; HbA1c, glycated hemoglobin. Statistical significance between group A and B is shown as *P < 0.05, **P < 0.01 and ***P < 0.001, and statistical significance between group A and C is shown as #P < 0.05, ##P < 0.01 and ###P < 0.001. Associations between glycated hemoglobin (HbA1c) levels and the age, estimated untreated duration, and body mass index (BMI) are shown. (a) The frequencies of patients with HbA1c levels ≥8.4% stratified for the BMI are presented as plots and smoothing lines. (b) The frequencies of patients with HbA1c levels ≥8.4% stratified for the age generation are presented as plots and smoothing lines. (c) The frequencies of patients with HbA1c levels ≥8.4% stratified for the untreated duration are presented as plots and smoothing lines.

Poor Glycemic Control in Young, Obese Patients

HbA1c level ≥8.4% was associated with a low or high BMI, younger age or longer untreated duration of disease in group C (Figure 2a–c). Even a slight increase in BMI, such as from 23.0–25.0 kg/m2, was associated with elevated HbA1c level and a higher proportion of poor diabetes control (Figure 2a). In group B, HbA1c level was affected only by a BMI below 21.0 kg/m2 (Figure 2a). Age correlated negatively with HbA1c level in group B and group C (Figure 2b), which was the reverse of the relationship in group A. The untreated duration correlated positively with HbA1c level in all groups (Figure 2c); however, in group C only, patients with an untreated duration of more than 10 years did not show higher HbA1c levels than patients with an untreated duration of 5–10 years.

BMI ≥23 kg/m2 as an Independent Factor for Poor Glycemic Control in Group C

Participants were divided into three groups based on deviation from ideal bodyweight: BMI <21.0, BMI 21.0–23.0 and BMI ≥23.0 kg/m2. Univariate logistic regression analysis was carried out using HbA1c level ≥8.4% as an independent variable and BMI <21.0, BMI 21.0–23.0, BMI ≥23.0 kg/m2, age, untreated duration and symptoms as explanatory variables (Table 2; univariate). BMI ≥23.0 kg/m2 was significant only in group C, with an odds ratio (OR) of 2.09 (95% confidence interval [CI] 1.26–3.49; P = 0.005). BMI <21.0 kg/m2 was not significant in all groups. Multivariate logistic regression analysis was carried out using HbA1c levels ≥8.4% (Table 2. multivariate 1 and multivariate 2). BMI ≥23.0 kg/m2 was a significant factor only in group C, with an OR of 2.14 (95% CI 1.26–3.65; P = 0.005) after adjusting for age, untreated duration and sex (multivariate 1), and 2.10 (95% CI 1.22–3.62; P = 0.008) after adjusting for factors in multivariate 1 and symptom (multivariate 2). Age showed a significant negative correlation with glycemic control in groups B and C, which became stronger over time. The adjusted OR for HbA1c level ≥8.4% was 0.74 (95% CI 0.63–0.89; P = 0.001) vs a 10‐year increase in group B, and 0.67 (95% CI 0.55–0.80; P < 0.0001) for a similar assessment in group C. The untreated duration showed a significant positive correlation with HbA1c levels in group A, a significant but weaker positive correlation in group B (the adjusted OR was 1.29 [95% CI 1.11–1.52; P = 0.001] vs a 5‐year increase in group A and 1.23 [1.06–1.41], P = 0.005 in group B), and no significance in group C.
Table 2

Univariate and multivariate logistic analyses in group A, group B and group C

Group AGroup BGroup C
OR95% CIP‐valueOR95% CIP‐valueOR95% CIP‐value
Univariate
BMI <21 vs 21–230.88(0.50–1.54)0.651.59(0.94–2.70)0.091.55(0.79–3.03)0.20
BMI >23 vs 21–230.80(0.50–1.29)0.360.81(0.53–1.25)0.352.09(1.26–3.49)0.005*
Sex (female)1.45(0.87–2.37)0.150.91(0.51–1.64)0.760.97(0.59–1.61)0.91
Age (+10 years)0.94(0.78–1.13)0.530.74(0.63–0.89)0.001*0.67(0.55–0.80)<0.0001*
Untreated duration (+5 years)1.29(1.11–1.52)0.001*1.23(1.06–1.41)0.005*1.06(0.91–1.24)0.46
Symptom (+)2.78(1.61–4.76)0.0002*3.45(1.61–4.76)0.0003*3.99(1.61–4.76)0.0008*
Multivariate 1
BMI >23 vs 21–230.86(0.53–1.40)0.550.88(0.52–1.51)0.652.14(1.26–3.65)0.005*
Multivariate 2§
BMI >23 vs 21–231.00(0.50–1.37)0.470.85(0.49–1.47)0.552.10(1.22–3.62)0.008*

†In the univariate model, the odds ratios (OR) for glycated hemoglobin (HbA1c) levels >8.4% in the logistic model are shown. Explanatory valuables are body mass index (BMI) stratified by <21.0, 21.0–23.0 and ≥23.0 kg/m2; sex; age; untreated duration; and symptoms. ‡In multivariate 1, the OR for HbA1c levels >8.4% compares BMI 21.0–23.0 kg/m2 with ≥23.0 kg/m2 in the logistic model, adjusted for the following confounding factors: age, untreated duration and sex. §In multivariate 2, the OR for HbA1c levels >8.4% compares BMI 21.0–23.0 kg/m2 with ≥23.0 kg/m2 in the logistic model, adjusted for age, untreated duration, sex and symptoms. Statistical significance is shown as *P < 0.05. CI, confidence interval.

†In the univariate model, the odds ratios (OR) for glycated hemoglobin (HbA1c) levels >8.4% in the logistic model are shown. Explanatory valuables are body mass index (BMI) stratified by <21.0, 21.0–23.0 and ≥23.0 kg/m2; sex; age; untreated duration; and symptoms. ‡In multivariate 1, the OR for HbA1c levels >8.4% compares BMI 21.0–23.0 kg/m2 with ≥23.0 kg/m2 in the logistic model, adjusted for the following confounding factors: age, untreated duration and sex. §In multivariate 2, the OR for HbA1c levels >8.4% compares BMI 21.0–23.0 kg/m2 with ≥23.0 kg/m2 in the logistic model, adjusted for age, untreated duration, sex and symptoms. Statistical significance is shown as *P < 0.05. CI, confidence interval.

Discussion

During the two decades investigated in the present study, there was a clear increase in young obese patients with undiagnosed type 2 diabetes making their first visit to our hospital and showing high HbA1c levels. Studies14 have shown that insulin resistance accompanied by obesity is a risk factor for diabetes onset. Whether insulin resistance and obesity worsen glycemic control at first diagnosis was unclear. In 1986, a small percentage of patients in urban Japan was obese at diabetic onset16. Younger patients had a higher prevalence of obesity in group C, although the prevalence of obesity in older patients was similar to that in the general population. In fact, it was reported17 that 83.4% of children with diabetes born after 1981 were obese. The present study and previous reports in Asian populations18 show that it might be necessary to test Asian subjects for diabetes if their BMI is in the upper normal range (18.5–25.0), such as 23.0–25.0 kg/m2. In the USA, the Standards of Medical Care in Diabetes‐201120 proposes that subjects with both obesity and additional risk factors should be tested for diabetes. In Japan, testing guidelines are not based on obesity and risk factors. Age is a strong factor for the high prevalence of diabetes21. In the present study, age showed a negative correlation with the level of HbA1c at diagnosis. The age distribution did not change in 20 years; therefore, we speculate that the pathophysiology of diabetes incidence in younger people has changed. It is possible that a slight increase in the proportion of obesity in the general population is related to the marked increase of specific obesity with severe insulin resistance or other vulnerability to glucose intolerance. Such specific obesity might be accompanied by some environmental factors; that is, socioeconomic status22, short sleep23, compromised intrauterine environment24, lack of exercise, and/or changes in dietary ingredients, especially fat and sugar25, and so on. Those exacerbation factors might be relatively increased over time and related to young age. Indeed, such cohort effects as increasing severity of diabetes among younger people were already found in studies26 of other ethnicities, such as a population‐based study of Native Americans and urban African–Americans. Younger age has also become a risk factor for worse control of type 2 diabetes in urban Japan. The emergence of younger patients with poor glycemic control is probably indicative of a severe problem. Young adults might have longer life expectancies and, thus, more potential for complications. Furthermore, studies28 have shown that patients with early onset of type 2 diabetes do not have the relative protection of youth and are at risk for complications. Therefore, early intervention might be necessary for this population. The onset of glucose intolerance was estimated by using patients' health records or data from other institutions. The estimated untreated duration was significantly shorter in group C. Therefore, the incidence of symptomatic patients decreased. Although the untreated duration was shorter, glycemic control was worsened by the emergence of obesity in these young patients, as discussed earlier. The incidence of symptomatic patients is becoming lower over time, which might be related to shortened duration. However, glycemic control of both asymptomatic and symptomatic patients was also worsened. Better interventions, such as improving the health examination system, are required to reduce the duration until the patient's first visit, which will help prevent and/or effectively treat diabetes. Longer periods without treatment can worsen glycemic control in <10 years and increase the risk of complications from diabetes mellitus30. The screening rate remained at 35.9% in 2008, according to the Health Insurance Association of Japan. We can surmise that there are many undiagnosed type 2 diabetic patients. It is surprising that, despite physician recommendations, many prediabetic and diabetic individuals do not visit a medical institution or start treatment for several years. The decrease in the average untreated duration seen in group C is mainly as a result of a decrease in patients who were untreated for 10 years or more. It might also be as a result of recent improvements in health checks and stricter diabetes criteria, such as more targeted screening under Japan's Specific Screening Program, which includes screening for metabolic syndrome. Specific screening for younger obese populations might also be necessary. A limitation of the present study was that it was carried out at a single Tokyo hospital; thus, it might be difficult to extrapolate the results to Japan as a whole. There was bias from patients whose motivation to select our hospital might have been changed for decades. The artificial conversion between HbA1c values obtained in different periods was an additional limitation. However, it is rare for a Japanese institution to maintain patient data for two decades after the first visit. We felt it was important to inform Japan and the rest of the world that Westernized diets and environmental change(s) might be affecting younger patients. In conclusion, although the estimated untreated duration of type 2 diabetes decreased, increasing obesity was associated with poor glycemic control at younger ages. The present results showed that a BMI ≥23.0 kg/m2 was an independent risk factor for high HbA1c levels in contemporary, urban Japan. These results show the need for closer observation and earlier detection of diabetes onset through better education and physical monitoring of obese young adults in Japan.
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