Trends in the Prevalence of Obesity and Its Phenotypes Based on the Korea National Health and Nutrition Examination Survey from 2007 to 2017 in Korea.

This study used data from the Korea National Health and Nutrition Examination Survey IV-VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).

INTRODUCTION

The epidemiology of obesity in Korean adults is unique when compared to other countries. The prevalence of obesity is higher in men than women. In addition, while the prevalence of obesity has increased in men, but not in women during the past two decades [1]. However, no previous studies have investigated the long-term changes in epidemiologic data of obesity phenotypes, such as metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) in Korean adults or other populations. This study was designed to determine the secular changes in the prevalence of obesity and its phenotypes in Korean adults by using the data from the Korea National Health and Nutrition Examination Survey (KNHANES [2,3]).

METHODS

Obesity was defined as BMI ≥25.0 kg/m2 [4], and the obesity phenotype was defined based on the criteria proposed by the National Cholesterol Education Program and Adult Treatment Panel III (NCEP: ATPIII) for the diagnosis of metabolic syndrome (MetS) [5]. According to these criteria, participants with obesity were divided into the MHO (BMI ≥25.0 kg/m2 and 0 or 1 MetS traits) or MUO (BMI ≥25.0 kg/m2 and ≥2 MetS traits) groups [6]. In addition, if participants had cardiovascular diseases (CVDs) based on the survey in the KNHANES, they were regarded as MUO, regardless of the number of MetS traits. For those with BMI <25.0 kg/m2, they were classified as either metabolically healthy non-obesity (MHNO) or metabolically unhealthy non-obesity (MUNO) according to the number of traits for MetS based on NCEP: ATPIII criteria. For the sensitivity analysis, we used more stringent criteria to define the obesity phenotype. We excluded waist circumference from the definition, and MHO was defined as having none of the four remaining MetS traits [7,8]. Similarly, those with CVD were regarded as MUO for the sensitivity analysis. Definitions of these morbidities were described previously [2].

The age-standardized prevalence was estimated using the 2005 Korean Census population data to avoid bias due to changes in population structures across phases. The linear-by-linear association analysis was used to calculate the P value for the trend. The regression coefficient β was calculated to demonstrate the annual change in the prevalence of obesity and its phenotypes using weighted least square regression. To determine whether trends in the prevalence of obesity and its phenotypes differed by sex and age groups, the presence of interaction was assessed in multivariate models by testing the significance of first-order interaction terms. The analyses were performed using R statistical software version 2.14.2 (The R Foundation, Vienna, Austria; http://www.r-project.org). P values <0.05 were considered statistically significant. This study was also approved by the Institutional Review Board of Kyung Hee University Hospital at Gangdong (KHNMC IRB 2020-04-025). When each KNHANES was conducted, all of the participants were informed that they had been randomly chosen to participate in the survey with the right to refuse to participate in the further analyses, and signed informed consents.

RESULTS

Approximately 35–42 million participants per year were included in this analysis (Supplementary Table 1). The total prevalence of obesity in Korea was 32.1% in 2007, which increased to 34.4% in 2017 (Supplementary Table 2). This secular change was found to be statistically significant (β=0.326, P trend <0.01) (Table 1, Fig. 1A, Supplementary Table 2). In the 20 to 39 years age group, the prevalence of obesity significantly increased between 2007 and 2017 (β=0.602, P trend <0.001) (Table 1). According to the sub-analysis by sex, the prevalence in men significantly increased from 36.7% in 2007 to 42.3% in 2017 (β=0.682, P trend <0.001) (Table 1, Fig. 1B, Supplementary Table 2), and this change was significant across all age groups (Table 1). Conversely, significant changes were not observed in women during the same period (β=−0.017, P trend=0.880) (Table 1, Fig. 1C, Supplementary Table 2). The subgroup analysis according to age group also revealed nonsignificant changes in women (Table 1). The change in the prevalence of obesity between 2007 and 2017 appeared to be significantly different between men and women (P=0.001) (Table 1), even in the subgroup analyses by age group (Table 1).

Table 1

Secular trends of obesity and its phenotypes at different age groups between 2007 and 2017 and its comparison between men and women

	Obesity				MUO				MHO
	β[a]			P value[b]	β[a]			P value[b]	β[a]			P value[b]
	Total	Men	Women		Total	Men	Women		Total	Men	Women
All age, yr	0.326[d]	0.682[d]	−0.017	0.001	0.193	0.565[d]	−0.180	0.002	0.160[d]	0.129	0.179[c]	0.650
20–39	0.602[d]	0.874[d]	0.306	0.019	0.382[d]	0.739[d]	0.008	0.004	0.219[c]	0.131	0.308[d]	0.240
40–59	0.040	0.449[c]	−0.359	0.008	−0.018	0.302	−0.374	0.034	0.108	0.121	0.057	0.670
>60	0.242	0.740[c]	−0.035	0.023	0.199	0.723[c]	−0.128	0.036	0.041	0.034	0.084	0.740

MUO, metabolically unhealthy obesity; MHO, metabolically healthy obesity.

Regression coefficient β demonstrates the annual change of obesity and its phenotype prevalence by use of weighted least square regression,

Difference of regression coefficient β between men and women,

P<0.05,

P<0.01 statistical significance for regression coefficient β.

Fig. 1

Secular changes in the prevalence of obesity and its phenotypes in Korea between 2007 and 2017. The numbers shown in each figure represent the regression coefficient β demonstrating the annual change of obesity and its phenotype prevalence by use of weighted least square regression. (A) All participants, (B) men, (C) women. MUO, metabolically unhealthy obesity; MHO, metabolically healthy obesity. aP<0.05, bP<0.01.

The prevalence of MUO did not show a significant secular change during the study period (P trend=0.150) (Supplementary Table 2), except in the 20 to 39 years age group (β=0.382, P trend <0.01) (Table 1, Supplementary Table 2). The subgroup analysis according to sex demonstrated a significant increase in the prevalence of MUO in men (β=0.565, P trend <0.01) (Table 1, Fig. 1B, Supplementary Table 2), which remained significant across all age groups, except in the 40 to 59 years age group (Table 1). In contrast, the prevalence of MUO showed a decreasing trend among women in all age groups, although it did not reach statistical significance (Table 1). Similar to the prevalence of obesity, the secular change in the prevalence of MUO between 2007 and 2017 was significantly different between men and women (P=0.002) (Table 1). This difference between sex remained its significance in the subgroup analyses according to each age group (Table 1). The sensitivity analysis similarly showed a significant increase in the prevalence of MUO in men across all age groups, but no significant change in the prevalence in women, and a significantly different secular change according to sex (Supplementary Table 3).

The prevalence of MHO significantly increased among all participants (β=0.160, P<0.05) (Table 1, Fig. 1A, Supplementary Table 2), especially in the 20 to 39 years age group (β= 0.219, P<0.05) (Table 1). Although the prevalence of MHO did not significantly change in men, that in women and especially those in the 20 to 39 years age group significantly increased (β=0.179, P<0.05; Table 1, Fig. 1C, Supplementary Table 2) and (β=0.308, P<0.01; Table 1). The changes in the prevalence of MHO were not significantly different between men and women during the study period (P=0.650) (Table 1). The subgroup analyses by age group did not reveal any significant differences between sex in the prevalence of MHO (Table 1). The sensitivity analysis showed similar results: significant increase in the prevalence of MHO only in women across all age groups and in those aged 20 to 39 years. Its secular change between 2007 and 2017 was not significantly different according to sex (Supplementary Table 3).

As for the MHNO and MUNO, women in most age groups showed the increase in prevalence of MHNO and decrease in that of MUNO while men did not show significant change. The secular change only in the MHNO showed significant difference between sex at most of age groups (Supplementary Table 4).

DISCUSSION

Traditionally, the prevalence of obesity was known to be higher in women than in men, and the increase in its prevalence was usually higher in women than in men [9], and MHO was also reported to be more common in women than in men, and to be more likely to occur in younger people [10-13]. However, recently, sex difference in obesity is becoming closer in East Asian mega countries with high incomes such as Korea, China, and Japan [9], which is consistent with the findings of the present study. These changes may be viewed as promising in the epidemiology of obesity, especially among Korean women. To determine the possible causes of secular trends in the prevalence of obesity in Korea, we also analyzed data on various nutritional and lifestyle factors from the KNHANES data during the study period (data not shown), but unfortunately significant factors to explain this trend were not found. It should be addressed that previous studies have reported inconsistent results on the clinical importance of dietary habits or physical activities to predict the presence of MHO [14-16]. Very interestingly, the secular changes in percentage of traits satisfied to define the MetS were additionally analyzed according to sex and age group between 2007 and 2017 (Supplementary Table 5). The percentage of subjects with low high density lipoprotein cholesterol decreased and that with high fasting blood glucose increased. Only men notably demonstrated the additional increase in the percentage of subjects having hypertriglyceridemia. This may provide possible explanation for the increased prevalence of MHO only in men.

In conclusion, we found that the prevalence of obesity increased from 2007 to 2017, mostly in men, with a concomitant increase in the prevalence of MUO. Although the prevalence of obesity in women did not change, a significant increase in the prevalence of MHO was observed, especially in their younger age group.