INTRODUCTION

Increasing numbers of patients with diabetes pose a major threat to global health, and the rising incidence is closely related to increasing obesity in Western and Eastern countries [1-4]. There have been many studies that demonstrated various influences of weight gain and body fat distribution on the onset of diabetes, with differences reported according to age, gender, and ethnic group [5-7]. In the general population, men are less obese but are more vulnerable to abdominal obesity and show an increased risk of cardiovascular disease (CVD) and diabetes compared with women [7-9]. Although there is some variability, both men and women gain progressively more fat as they age [10].

Patients with diabetes are in a well-known high-risk group for CVD [11]. In the nondiabetic population, men generally have a greater relative risk of CVD than women [9]. However, this gender difference in CVD risk is lessened in diabetic groups [12-14], and there have been several studies demonstrating that the relative risk of CVD in type 2 diabetes is greater in women than men [15,16]. The cause of the greater increase of relative CVD risk in diabetic women compared with diabetic men is not fully understood. Some propose that the findings may be explained as a result of differing adverse effects of diabetes on cardiovascular risk profiles, differing treatment intensity, or differing changes of metabolic parameters during transition from nondiabetes to diabetes between men and women [17-21].

The purpose of this study is to evaluate whether gender differences in adiposity exist and to gain a better understanding regarding how these differences relate to insulin resistance and the time of diabetes diagnosis according to age and sex in an adult Korean newly diagnosed diabetes population.

METHODS

Study subjects

The data from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted from 2007 to 2010 by the Korea Centers for Disease Control and Prevention were used. A total of 33,829 subjects between the ages of 20 and 85 years were included. The survey was performed in three parts: 1) a health interview survey, 2) a health examination survey, and 3) a nutrition survey. The KNHANES is a nationwide study of a noninstitutionalized population and used a stratified and multistage probability sampling design with a rolling survey sampling model. The sampling units were based on household unit data from the 2005 National Census Registry, which includes age, sex, and geographic area. Using a structured questionnaire, trained staff members conducted in person interviews of all subjects.

Subjects who were at high-risk for steroid use with conditions such as bronchial asthma, allergic disease, and autoimmune disease like rheumatoid arthritis were excluded. Subjects with cancer, pregnancy or an infectious disease, such as tuberculosis or pneumonia, were also excluded. Those who showed an increased creatinine level greater than 1.5 mg/dL, serum bilirubin greater than 2.0 mg/dL, or alanine aminotransferase (ALT) and aspartate aminotransferase (AST) greater than 100 U/L were also excluded. After exclusion, newly diagnosed diabetes subjects were drawn secondarily from a total of 21,797 subjects. Newly diagnosed diabetes was defined by plasma glucose ≥126 mg/dL in the health examination survey with no reported previous history of diabetes in health interview survey. Lastly, we excluded subjects under the age of 30 years in order to reduce the possibility of including type 1 diabetes. Finally, a total of 396 subjects (205 men and 191 women) were included in the present study (Fig. 1). The subjects were divided into age groups, <40, 40 to <50, 50 to <60, 60 to <70, 70 to <80, and ≥80 years, and into five groups by body mass index (BMI), <20, 20 to <25, 25 to <30, 30 to <35, and ≥35. The database showed no identifiable information, and all subjects provided written informed consent.

Anthropometric and biochemical measurements

A well-trained personnel member recorded the subjects' measurements using predefined methods. The heights and weights were measured in centimeters and kilograms, respectively, while the subjects were wearing light clothing and no shoes. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured three times for each subject using a mercury sphygmomanometer (Baumanometer; W. A. Baum Co., Inc., Copiague, NY, USA) after the subject had rested in a sitting position for at least 5 minutes. Average blood pressure values of the second and third measurements were used for analysis. Waist circumference (WC) was measured at the horizontal midline between the lower costal margin and iliac crest at the end of inspiration. Total body fat (%) was measured by whole body dual-energy X-ray absorptiometry using a QDR Discovery fan beam densitometer (Hologic Discovery; Hologic Inc., Bedford, MA, USA).

Blood samples were drawn in the fasting state after a minimum 8-hour fast. The fasting blood glucose (FBG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), AST, ALT, and creatinine levels were measured enzymatically using a Hitachi Automatic Analyzer 7600 (Hitachi, Tokyo, Japan) at the Central Testing Institute in Seoul, Korea. Glycated hemoglobin (HbA1c) levels were measured by high performance liquid chromatography using HLC-723G7 (Tosoh, Tokyo, Japan). Serum insulin levels were measured by immunoradiometric assay using the 1470 Wizard Gamma Counter (PerkinElmer, Turku, Finland). The coefficient of variation of the assays for serum insulin was 1.2%. Urine microalbumin levels were measured by turbidimetric assay using a Hitachi Automatic Analyzer 7600 (Hitachi). Insulin resistance and pancreatic β-cell function were calculated using the homeostasis model assessment of insulin resistance (HOMA-IR) and HOMA β-cell by the following respective formulas [22]:

HOMA-IR=[fasting insulin (µU/mL)×fasting plasma glucose (mmol/L)]/22.5

HOMA β-cell=fasting insulin (µU/mL)/[fasting plasma glucose (mmol/L)-3.5]

Statistical analysis

Data are presented as mean±standard deviation unless otherwise stated. In order to compare baseline clinical characteristics, t-tests, and general linear models (f-test) were used. Analysis of variance was used to compare the means of men and women by age and BMI group. Analysis of covariance was used to compare the age and BMI of subjects between men and women after adjusting for covariates. Linear regression analysis was used to reveal the linear association of BMI and age for each sex, and we construct a regression equation for each sex. All statistical tests were two-tailed, P<0.05 was considered statistically significant and 95% confidence limits for each variable were given. Data were analyzed using SPSS version 18.0 (IBM Co., Armonk, NY, USA).

RESULTS

A total of 396 subjects (1.8%) were newly diagnosed with type 2 diabetes from a population of 33,829 standard subjects in Korea. These subjects included 205 men (51.8%) and 191 women (48.2%). The baseline characteristics of newly diagnosed diabetes patients by sex are presented in Table 1. The mean age of newly diagnosed diabetes was 58.5 years in women and 55.1 years in men, and this difference is statistically significant (P=0.015). Mean BMI, whole body fat, TC, TG, LDL-C, non-HDL-C, white blood cell count, and DBP were different between men and women. However, mean WC, SBP, FBG, and HbA1c did not differ between men and women.

Regarding both HOMA-IR and HOMA-β, all of those values, being unadjusted for age, adjusted for age, and adjusted for age, BMI, and WC, were significantly higher in women than in men (Table 2).

The mean BMI at the time of diabetes diagnosis was higher in women than in men (26.13±3.59 and 25.05±25.05, respectively; P=0.001) (Table 1). Estimated BMI by age was 29.608-0.059×age (year) (95% confidence interval [CI], -0.095 to -0.023; P=0.002) in women and 29.015-0.072×age (year) (95% CI, -0.105 to 0.039; P<0.001) in men according to linear regression analysis. The higher BMI in women than men at the onset of diabetes was consistent throughout all age groups, and BMI was inversely related to age in both genders (Fig. 2). The mean WC was not different by sex or age in men and showed marginal significance by age in women (data not shown, P=0.038) (Fig. 2). Whole body fat content was consistently higher in women than in men but not different across age groups (Fig. 2).

The mean age of diabetes diagnosis was consistently and significantly older in women than men belonging to similar BMI groups, except when the BMI was less than 25 kg/m² (Fig. 3).

DISCUSSION

All of the subjects enrolled in this study were newly diagnosed with diabetes; therefore, none had attempted any lifestyle intervention or drug treatment to impact body weight, blood glucose, or insulin resistance.

The results from this study demonstrate an inverse relationship between average BMI and age of newly diagnosed diabetes subjects. Both men and women showed similar inverse relationships between BMI and the age of diabetes diagnosis. Such inverse relationships were previously similarly reported in Scottish and United States populations [23,24]. The steepness of linear regression slope is slightly greater in men (calculated slope -0.059 [95% CI, -0.095 to -0.023] in women; -0.072 [95% CI, -0.105 to -0.039] in men; P<0.001) in this study. This result is different from that of a previous study, which revealed a steeper inverse relationship in women than in men (-0.18 [95% CI, -0.18 to -0.17] in women; -0.12 [95% CI, -0.13 to -0.12] in men) [23]. The mean BMI at the time of diagnosis of diabetes in Koreans was reported to be around 25 kg/m², while it is typically around 32 kg/m² in Scottish and 35 kg/m² in American populations [23,24]. This distinction might be due to an ethnic difference of adiposity. In those with similar body mass indices, Eastern populations demonstrate higher visceral obesity, higher insulin resistance, and higher risk of metabolic disease than do Western populations [6]. In addition, sexual difference of adiposity can be different in various ethnic groups [5].

Men were diagnosed with diabetes at a younger age than women at a given BMI throughout all age groups in this study. This suggests that men are more vulnerable to development of diabetes than women at the same degree of obesity. This finding is supported by a previous study that demonstrated that the prevalence of diabetes in middle-aged men is higher than that in similarly aged women, although the prevalence of obesity in middle-aged men is lower than in women [9]. We can assume from this that men are more insulin resistant and tend to develop diabetes more often at a similar degree of obesity, as calculated by BMI.

Higher insulin resistance in diabetic women than diabetic men is demonstrated in this study, and it was sustained even after adjusting for age and adiposity, including BMI and WC. This increased insulin resistance in female diabetic patients was also demonstrated in a previous study and is associated with a relatively increased risk of CVD in diabetes compared to male diabetic subjects [21].

This study also demonstrated that the average BMI and whole body fat content of women were higher than those of men, but the average WC at the time of diabetes diagnosis was similar (approximately 88 cm) in both genders in this study throughout most age groups (except for women older 80 years, who showed significant differences compared with other age groups in post hoc analysis, data not shown). In general, BMI represents general obesity and WC represents visceral or abdominal obesity. From the results of this study, it appears that Korean women tend to possess more fat than men of a similar age when diagnosed with diabetes, and the predominant site of fat accumulation in Korean women might not be the abdomen. Female tendency for subcutaneous fat deposition is a well-known phenomenon, and differences of fat distribution are associated with differences in insulin resistance and onset of diabetes [7,8,25,26]. The reason for the similar WC at the time of diabetes diagnosis despite different whole body fat content and BMI in this study is not clear, and it is difficult to generalize this observation on the base of this one set of data. Further study is needed to confirm this finding and clarify the causes.

As previously mentioned, the average WC at the diagnosis of diabetes was similar in most age groups, contrary to the higher average BMI of women than men in most age groups in this study. Most academic societies recommend different criteria for WC relative to increased risk of cardiometabolic disorders for men and women. Most define higher cutoff points for men; for example, >102 cm for men and >88 cm for women in Western countries according to National Cholesterol Education Program and ≥90 cm for men and ≥80 cm for women in Asian countries according to International Diabetes Federation guidelines [27,28]. One exception is a Japanese criterion that defines the cutoff value of a larger WC in women (≥85 cm for men and ≥90 cm for women) [29]. Conversely, most academic societies use the same BMI to indicate increased risk of cardiometabolic disorders in both sexes, 30 kg/m² for Western countries and 25 kg/m² for Asian populations [30,31]. The results of the present study demonstrated no gender- or age-related differences in WC and strong gender- and age-related differences in BMI at the time of diabetes diagnosis in a Korean population. Although the cross-sectional nature of this study and small number of subjects limited to Korea restrict generalization of these findings, there have been many reports that suggest similar gender differences of adiposity/obesity [32-34]. Men tend to develop diabetes at younger age, are more insulin resistant and have larger WC at any given BMI than women, suggesting that men are globally and generally vulnerable to weight gain when using the same BMI criteria of obesity for both sexes [7,32-34]. We pay attention to adiposity/obesity as defined by BMI because obesity increases insulin resistance and the risk of related cardiometabolic disorders such as diabetes. If the definitions of overweight and obesity should be formed on the basis of increased risk of cardiometabolic disorders, this study suggest that BMI cutoffs for overweight and obesity could be defined differently according to gender, similar to the different cutoff values of WC for men and women. Further study will be needed to clarify this suggestion.

This study has several limitations. Although subjects were selected from a strictly randomized general population, the number of study subjects is relatively small, especially in the age groups older than 70 and younger than 40 years. This may affect the results, but the trends in those groups are consistent with other age groups, and the results are not expected to change by adding more subjects. Due to the cross-sectional nature of this study, the causal relationship between adiposity and diagnosis of diabetes according to aging and gender is difficult to demonstrate. Further prospective studies are needed. I did not analyze the effects of smoking or menopause on adiposity or their relationships with diabetes diagnosis according to gender. Smoking is known as a contributing factor to obesity and diabetes, but previous reports have not shown any definite confounding effects of smoking on the relationship between adiposity and diabetes onset in both sex groups according to age [23]. Changes in levels of sex steroids, especially estrogen changes due to menopause in women, can have an effect on adiposity and diabetes onset, but the trends of adiposity/obesity are consistent across age groups in both genders, and the effect of menopause is not the main concern of this study [35].

In spite of these limitations, there are many strengths of this study. This is the first study that demonstrates the inverse relationship between BMI and the diagnostic age of diabetes and the higher BMI of women than men throughout most age groups at the time of diabetes diagnosis in a Korean adult population using national representative data.

In conclusion, Korean women are diagnosed with type 2 diabetes at higher BMIs and at older ages than Korean men, and these women are more insulin resistant than men at the time of diagnosis of diabetes. These findings may help explain why women with diabetes have a more greatly increased risk of CVD compared with their nondiabetic counterparts than do men with diabetes compared with their nondiabetic counterparts. Additionally, this study suggests that BMI cutoffs for overweight and obesity could be defined differently according to gender in Korea, similar to the different cutoff values of WC for men and women.

NOTES

No potential conflict of interest relevant to this article was reported.

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Fig. 1

Selection and enrollment of study subjects. KNHANES, Korea National Health and Nutrition Examination Survey; CR, creatinine; AST/ALT, aspartate aminotransferase/alanine aminotransferase; M, male; F, female.

Fig. 2

Distribution of mean (A) body mass index (BMI), (B) waist circumference, and (C) whole body fat content by age group at the diagnosis of diabetes. The solid lines represent data for men, and dotted lines represent data for women. Vertical bars reveal standard error around the mean.

Fig. 3

Distribution of mean age of newly diagnosed diabetes by body mass index (BMI) group. The solid line indicates the mean age at diagnosis of diabetes in men, and the dotted line represents the mean age of diagnosis in women. Vertical bars represent standard error around the mean. Across BMI groups, the average diagnostic ages of diabetes are higher in women than men.

Table 1

Baseline characteristics of newly diagnosed Korean diabetes subjects

Values are presented as mean±standard deviation.

BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HDL-C, high density lipoprotein cholesterol; TG, triglyceride; LDL-C, low density lipoprotein cholesterol; AST, aspartate aminotransferase; ALT, alanine aminotransferase; WBC, white blood cell; HbA1c, glycated hemoglobin; HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function.

Table 2

Age-adjusted means±standard error of HOMA-IR and HOMA-β in newly diagnosed Korean diabetes subjects

Values are presented as mean±standard error.

HOMA-IR, homeostasis model assessment of insulin resistance; HOMA-β, homeostasis model assessment of β-cell function.

^aUnadjusted, age unadjusted value; ^bAdjusted, age, body mass index and waist circumference adjusted values.

Figure & Data

References

Citations

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