Somatotype and Its Impact on Asymptomatic Target Organ Damage in the Elderly Chinese: The Northern Shanghai Study.

OBJECTIVE: To investigate the relationship between asymptomatic target organ damage (TOD) and different somatotypes in a population of elderly from Chinese community-dwelling.
METHODS: A total of 2098 Chinese senior residents from northern Shanghai older than 65 years were recruited in the research. The following somatotype parameters were recorded and analyzed: body mass index, waist circumference, hip circumference, and waist-hip ratio were recorded and calculated. Asymptomatic TOD, including urine albumin/creatinine ratio, estimated glomerular filtration rate (eGFR), intima-media thickness (IMT), left ventricular mass index (LVMI), left ventricular diastolic function, and carotid-femoral pulse wave velocity (PWV) was recorded using the MyLab30 Gold CV system and SphygmoCor.
RESULTS: Of all 2098 residents, 817 (38.9%) were overweight and 289 (13.8%) were obese. All somatotype measures were significantly correlated with TOD parameters (p<0.05). After adjustment for age and male gender, in total population, LVMI (p<0.001), cardiac diastolic function (E/Ea, p<0.001), PWV (p<0.001), eGFR (p=0.03), and urine albumin/creatinine ratio (p<0.001) changed gradually and significantly correlated with increasing BMI values. Obesity and overweight were independently related to the incidence of LVH, LVDD, artery stiffness, carotid arterial plaque, and microalbuminuria.
CONCLUSION: The incidence of asymptomatic TOD was significantly correlated with overweight and obesity, especially in women, whereas the underweight may favor in the prevention of TOD.

Introduction

Since 1990, cardiovascular (CV) disease is the leading cause of death in China.1 Meanwhile, widespread lifestyle changes increased the obesity in China.2 Several investigations indicated that the obese were prone to develop CV diseases.3–6 Since target organ damage (TOD) was widely recognized as the intermedium between CV risk factors and CV diseases, it is warranted to investigate the association of TOD with somatotype.

As result of prolonged life expectancy and reduced birth ratio, China is one of the countries experiencing the most rapid social aging. In 2015, 16.15% of the Chinese people were over 65 years old. In 2055, the proportion of the Chinese aging population will peak at 27.2%.7 Therefore, an increasing economic and medical burden, due to an increase in the elderly population, will be a serious problem for the government in next several decades.

Although there were several studies investigating the relationship between asymptomatic TOD and obesity.3,5,6,8,9 There were only few conducted in a geriatric population. Since social aging is a serious problem in China, we were aimed at investigating the relationship between asymptomatic target organ damage (TOD) and different somatotype in elderly population Chinese community-dwelling.

Methods

Study Design and Subject Inclusion Criteria

The present investigation is nested in the Northern Shanghai Study (ClinicalTrials.gov Identifier: NCT02368938). The northern Shanghai study is a community-based study in progress in order to establish a framework of CV risk assessments in the urban elderly residents. This study was approved by the Research Ethics Committee of Shanghai Tenth People’s Hospital.

All details of study design were already described in the protocol of Northern Shanghai Study published in the journal of BMJ open.10 By the end of June 30th, 2017, the northern Shanghai study enrolled 2098 participants.

Social, Clinical and Anthropometric Parameters

All details were already described in the previous protocol.10 Anthropometric parameters included body height, body weight, waist circumference, hip circumference. Social and clinical data were obtained through a questionnaire, including age, gender, disease history, and drug used. Obesity was defined by body mass index (BMI, the ratio of body weight [kilogram] and body height [meter] square), including the following categories: underweight (BMI<18.5 kg/m2), normal (18.5 ≤ BMI <24 kg/m2), overweight (24 ≤ BMI <28 kg/m2), and obese (BMI ≥28 kg/m2).11 Abdominal obesity was defined as waist circumference greater than 80 cm (women), and greater than 85 cm (men).

Measurement of Asymptomatic TOD

Echocardiography parameters and intima-media thickness (IMT) were measured by the MyLab 30 Gold Cardiovascular System (Esaote SEpA, Genoa, Italy) as previously described.10 Echocardiography parameters were measured under the American Society of Echocardiography (ASE) recommendations, including left ventricular end-diastolic diameter and septal and posterior wall thickness, left atrial parameters (long axis, four chambers), peak E (Early diastolic), A (late diastolic) velocities, and primary Early diastolic velocity (Ea). Left atrial volume was estimated by using the ellipse model formula,12 and standardized for the body surface area as left atrial volume index (LAVI). Left ventricular mass index (LVMI) was calculated using the ASE-recommended formula,13 and standardized to body size. Left ventricular diastolic dysfunction (LVDD) was defined according to the ASE recommendation.14,15 If E/Ea ≥ 15, the subject was considered as LVDD. If 8 < E/Ea < 15, LVDD was defined by the presence of any of the following evidences of abnormal left ventricular function: (1) LAVI > 40mL/m2; (2) LVMI > 149g/m2 for male or LVMI > 122g/m2 for female. Left ventricular hypertrophy (LVH) was defined as LVMI > 115g/m2 for male or LVMI > 95g/m2 for female.

Carotid-femoral pulse wave velocity (cf-PWV) was measured with applanation tonometry (SphygmoCor, AtCor Medical, Sydney, Australia) on the basis of the European Expert Consensus on Arterial Stiffness.16,17 Arterial stiffness was defined as cf-PWV>10m/s.

The urine albumin to creatinine ratio was obtained from a urine sample test. Calculating the estimated glomerular filtration rate (eGFR) used the original CKD-EPI equation.18

Statistical Analysis

Participant characteristics were presented as mean ± standard deviation (SD) for continuous variables and as proportion (percentage) for categorical variables. Correlation between different anthropometric parameters and CV parameters was determined using univariate regression analysis. General linear model tests and DUNCAN’s multiple range test were applied for the comparisons of characteristics of asymptomatic TOD among different somatotypes. Multivariate logistics regression was performed to analyze the specific relationship between different somatotype and asymptomatic TOD. Statistical analyses were performed using the SAS software version 9.4 (SAS Institute, Inc., Cary, NC, USA). Statistically significant difference was set at p<0.05.

Results

Characteristics of the Participants

By the end of July, 2017, 2285 subjects were initially invited to participate in the study, of whom 2098 (92.9%) were enrolled and examined. The final sample was 2098 participants, which met the inclusion criteria and related CV parameters. Table 1 summarizes population characteristics. The mean age of the total population was 71.3±6.12 years, with 955 (46%) men. The total mean BMI was 23.9. Among the elderly community, 817 (38.9%) were overweight, 289 (13.8%) were obese, and 100 (4.8%) were underweight. In addition, almost all the overweight (749/817, 91.6%) and obesity (286/289, 99.0%) had abdominal obesity. This is the reason why we did not include an abdominal obesity subgroup analysis.

Table 1

Participants’ Characteristics

	All Participants (n=2098)
Demographic characteristics
Age, year	71.3±6.1
Male (%)	955 (46)
Anthropometric parameters
Body height, cm	160.3±8.3
Body weight, kg	62.7±10.7
BMI, kg/m2	23.9±3.5
WC, cm	86.2±9.8
HC, cm	97.4±7.1
WHR	0.88±0.06
Underweight, n (%)	100 (4.8)
Overweight, n (%)	817 (38.9)
Obesity, n (%)	289 (13.8)
Asymptomatic target organ damage
Mean arterial pressure (mmHg)	55.6±15.4
Systolic blood pressure (mmHg)	134.7±17.6
Left ventricular mass index, g/m2	89.3±28.3
E/Ea$(n=2038)	9.15±3.67
Left ventricular diastolic dysfunction, n (%)	161 (7.9)
Left ventricular hypertrophy, n (%)	537 (25.8)
Pulse wave velocity, m/s (n=2021)	9.32±2.29
Carotid Intima media thickness, mm	0.64±0.16
Urine albumin/creatinine ratio (n=2036)	60.67±165.8
Creatinine clearance rate, %	93.7±22.6
Metabolic parameters
Fasting plasma glucose, mmol/L	5.69±1.74
Total cholesterol, mmol/L	5.15±1.03
Triglyceride, mmol/L	1.62±0.98
High-density lipoprotein, mmol/L	1.38±0.36
Low-density lipoprotein, mmol/L	3.18±0.87
Disease and treatment
Hypertension, n (%)	1117 (53.3)
Antihypertensive treatment, n (%)	1054 (50.2)
Diabetes, n (%)	402 (19.2)
Diet control for diabetes, n (%)	347 (16.5)
Anti-diabetes drug treatment, n (%)	326 (15.5)

Notes: Values are means ± standard deviations, respectively. $E = peak early diastolic transmitral flow velocity; Ea = early diastolic lateral mitral annular velocity. Obesity was defined by body mass index (BMI, the ratio of body weight [kilogram] and body height [meter] square) was categorized as underweight (BMI<18.5 kg/m2), normal (18.5 ≤ BMI <24 kg/m2), overweight (24 ≤ BMI <28 kg/m2), or obese (BMI ≥28 kg/m2).

Abbreviations: WC, waist circumference; HC, hip circumference; WHR, waist–hip ratio.

Table 1 shows the disease prevalence and TOD parameters of all participants. More than half of population had hypertension (1117 (53.3%)), and the majority of patients with hypertension took antihypertensive agents (1054 (50.2%)). Left ventricular diastolic dysfunction (LVDD) was exist in 161 (7.90%) of the patients, and a quarter of patients (537 (25.8%)) had left ventricular hypertrophy (LVH).

Correlation Between TOD Parameters and Different Anthropometric Parameters

Univariate correlation analyses were utilized to investigate the association of TOD with anthropometric parameters (Table 2). All anthropometric measures, including body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-hip ratio (WHR), were significantly correlated with cardiac, vascular and renal TOD parameters (p<0.05). Only E/Ea and WHR were not significantly correlated, except for the association between E/Ea and WHR (p=0.06).

Table 2

The Correlation Between Different Anthropometric Parameters and Target Organ Damage Parameters

Cardiac	BMI	WC	HC	WHR
	r	r	r	r
Left atrium volume index, mL/m2	0.19***	0.21***	0.19***	0.14***
Left ventricular mass index, g/m2	0.21***	0.24***	0.22***	0.16***
E/Ea$	0.11***	0.06*	0.07**	0.04
Vascular
Pulse wave velocity, m/s	0.16***	0.21***	0.16***	0.17***
Intima media thickness, mm	0.05*	0.10***	0.08***	0.08***
Renal
Urine albumin/creatinine ratio	−0.05*	−0.08***	−0.05*	−0.08***
Creatinine clearance rate, %	0.09***	0.08***	0.06**	0.06**

Notes: Creatinine clearance rate was calculated as original CKD-EPI equation. $E = peak early diastolic transmitral flow velocity; Ea = early diastolic lateral mitral annular velocity. #Central blood pressures were measured by the SphygmoCor through radial pulse wave recording with the help of the inbuilt transfer function. *p<0.05;**p<0.01; ***p<0.001.

Abbreviations: BMI, body mass index; WC, waist circumference; HC, hip circumference; WHR, waist–hip ratio.

TOD According to the Participants’ Somatotype

With increasing BMI values, categorized as four grades: underweight (BMI<18.5 kg/m2), normal (18.5≤BMI<24 kg/m2), overweight (24≤ BMI<28 kg/m2), or obese (BMI≥28 kg/m2), as depicted in Table 3, LVMI (p<0.001), diastolic function (E/Ea, p<0.001), PWV (p<0.001), and urine albumin/creatinine ratio (p<0.001) increased significantly and gradually, whereas eGFR (p=0.03) decreased. With similar adjustments, in the further interclass comparison, taking normal status as reference, LVMI, PWV, and the urine albumin/creatinine ratio were significantly greater in obese, while LVMI and PWV were significantly lower in underweight participants. As shown in Figure 1, the significant increasing trend was observed for the incidence of LVH (p<0.001), LVDD (p=0.04) and artery stiffness (p=0.007), along with the increasing BMI.

Table 3

Target Organ Damage According to Participants’ Somatotype

	Underweight (n= 100)	Normal (n= 892)	Overweight (n= 817)	Obesity (n= 289)	p
Cardiac
Left ventricular mass index, g/m2	71.8±24.6*	86.4±25.7	91.3±28.8	98.9±31.4*	<0.001
E/Ea$	8.12±3.9*	8.85±3.3	9.42±3.9	9.67±3.9*	<0.001
Vascular
Pulse wave velocity, m/s	8.39±2.2*	9.07±2.2	9.51±2.4*	9.84±2.1*	<0.001
Intima media thickness, mm	0.63±0.2	0.63±0.2	0.65±0.2	0.64±0.2	0.22
Renal
Urine albumin/creatinine ratio	0.67±0.6	0.80±1.3	1.05±1.8	1.58±6.2*	<0.001
Creatinine clearance rate, %	96.1±20.5	95.1±22.5	92.2±22.8	92.7±22.8	0.03

Notes: General linear model was applied to investigate the associations of target organ damage with somatotype, after adjustment for age and male gender, and DUNCAN multiple range test were applied for the comparisons among different somatotype, respectively. *p<0.05, comparing with normal weight by using DUNCAN multiple range test. Creatinine clearance rate was calculated as MDRD formula. $E = peak early diastolic transmitral flow velocity; Ea = early diastolic lateral mitral annular velocity.

Figure 1

Incidence of LVH, LVDD, artery stiffness in different somatotype.

Relation Between Asymptomatic TOD and Different Somatotypes

As Table 4 shows, BMI was independently related to the LVH, LVDD, artery stiffness, carotid arterial plaque, and microalbuminuria after adjustments for age and male gender, mean arterial pressure, fasting plasma glucose, low-density lipoprotein cholesterol, glomerular filtration rate. Compared to the normal somatotype, the odds ratio (OR) of LVDD was 1.78 for overweight (95% confidence interval [CI]: 1.20, 2.65, p=0.004) and 2.51 for obese participants (95% CI: 1.57, 4.02, p<0.001). The OR of artery stiffness was 1.65 for obese (95% CI: 1.20, 2.52, p=0.002). The OR of microalbuminuria was 1.31 for overweight (95% CI: 1.07, 1.60, p=0.007) 1.39 for obese (95% CI: 1.05, 1.84, p=0.02). The OR of LVH for obese compared with normal somatotype was 2.05 (95% CI: 1.52, 2.78, p<0.001). Of note, OR of LVH for underweight compared with normal somatotype was 0.47 (95% CI: 0.24, 0.90, p=0.03, Figure 2). The OR of carotid arterial plaque for underweight compared with normal somatotype was 0.60 (95% CI: 0.39, 0.94, p=0.02). The same result was found after adjustments for age and male gender, mean arterial pressure, hypertension, diabetes, glomerular filtration rate ().

Table 4

Multivariate Logistic Regression Analysis on the Association of Target Organ Damage with Somatotype

	Underweight (n= 100)	Normal (n= 892)	Overweight (n= 817)	Obesity (n= 289)
Cardiac TOD	OR [95% CI]	OR [95% CI]	OR [95% CI]	OR [95% CI]
LVH	0.47 [0.24, 0.90]*	Reference	1.20 [0.95, 1.51]	2.05 [1.52, 2.78]*
LVDD	1.37 [0.56, 3.33]	Reference	1.78 [1.20, 2.65]*	2.51 [1.57, 4.02]*
Vascular TOD
Artery stiffness	0.69 [0.38, 1.26]	Reference	1.16 [0.91, 1.46]	1.65 [1.20, 2.52]*
Carotid arterial plaque	0.60 [0.39, 0.94]*	Reference	0.82 [0.66, 1.01]	0.79 [0.59, 1.06]
Renal TOD
Microalbuminuria	1.61 [1.04, 2.50]*	Reference	1.31 [1.07, 1.60]*	1.39 [1.05, 1.84]*
CKD	1.12 [0.39, 3.28]	Reference	1.29 [0.97, 2.12]	1.57 [0.81, 3.04]

Notes: Multivariate logistic regression models were applied to investigate the association of TOD with somatotype, after adjustment for age, male gender, mean arterial pressure, fasting plasma glucose, low density lipoprotein cholesterol, glomerular filtration rate. Odd ratio (OR) value and 95% confidence interval (CI) were present. *Indicating significantly and independently correlation of TOD with somatotype, taking normal somatotype as reference.

Abbreviations: LVH, left ventricular hypertrophy; LVDD, left ventricular diastolic dysfunction; CKD, chronic kidney dysfunction; TOD, target organ damage.

Figure 2

Multivariate logistic regression analysis on the association of target organ damage with somatotype (normal somatotype as reference); *p<0.05.

Sexual Differences in the Incidence of TOD of Different Somatotypes

Figure 3 shows the sexual subgroup analysis. The incidence of LVDD was 7.02%, 6.78%, 11.3% and 15.5% for female participants with underweight, normal, overweight and obese, respectively (p<0.001). Yet, there was no significant and gradual change with increasing BMI in male subjects (p=0.12). Meanwhile, the incidence of artery stiffness also increased gradually and significantly with increasing BMI in female (p<0.01) but not in male (p=0.73). LVH increased significantly and gradually from 0% to 23.1% (P<0.01) in men, and from 22.4% to 50.3% (P<0.001) in women.

Figure 3

Sexual differently incidence of LVH, LVDD, artery stiffness in different somatotype.

Discussion

In the present study, there are two major findings. First, the presence of obesity in the old Chinese citizens was 13.8% with a BMI over 28 kg/m2, and the figure for the overweight was 38.9% with a BMI over 24 kg/m2. Second, all somatotype parameters and the status of obesity or overweight were significantly associated with asymptomatic TOD, whereas the underweight (BMI<19kg/m2) was reversely associated with LVH and carotid arterial plaque.

The prevalence of somatotypes on the health of the elderly is the focal point in many elderly studies. Although Jan-Magnus et al have reported that underweight individuals have higher mortality than overweight individuals because the former is susceptible to respiratory diseases in Norwegian geriatric population. And excluding respiratory diseases, overweight and obesity individuals also have increased mortality.19 The reason for the higher mortality rate of increasing BMI and obese elderly is still unknown. Obesity contributes to CV disease, which is multifactorial, including insulin resistance, hypertension, and dyslipidemia, cardiac remodeling including LVH and chamber enlargement, vascular endothelial dysfunction.20 There was increasing evidence from western countries suggested that obesity increased the incidence of coronary heart disease, even worsened heart failure prognosis, and increased CV mortality in adult.9,21,22 Teixeira et al also documented CV disease risk factor among obese children group.23 However, there are still no appropriate risk factors identified for asymptomatic TOD. The most important predictors are still the classic risk factors, especially blood pressure and age.24,25 In the present study, we focus obese Chinese geriatric population. We found that obesity was significantly associated with asymptomatic TOD.

Obesity and overweight were associated with heart remodeling, resembling the changes found in patients with hypertension.3,8,26 Lauer et al indicated that, in 3922 participants from the Framingham Heart Study, health obese population was likely to have greater LVMI.3 Bello et al indicated that, in 4343 senior residents (69–82 years old) from the Atherosclerosis Risk in Communities (ARIC) study also highlight the association of obesity and subclinical LV remodeling.8 The present study also showed the considerate increase of LVH in the obese Chinese elderly. From a pathological viewpoint, severe myocardial fibrosis, a typical signature of pathological cardiac hypertrophy, was found in ob/ob mice with leptin treatment, which was also common in the obese animals and human being.27

Despite cardiac structural remodeling consistently exist in the obese population and obese animals, obesity was not rarely associated with cardiac functional abnormalities, after adjustment for clinical covariates.28 Moreover, Bello et al found that, in 4343 large old individuals, obese women were prone to develop cardiac dysfunction, whereas men did not.8 We also found similar gender discrepancies in the present study. Obese women were prone to develop LVH and LVDD. On the contrast, obese men did not exhibit the increased incidence of LVDD. This gender discrepancy in response to the obesity, with the cardiac structural or functional change, need further investigations. In this respect, gender-specific analysis was warranted in this field in both population level and animal level. It is also noteworthy that, women, compared to men, with the similar somatotype, had significantly greater subcutaneous abdominal fat.

Although compared to the elderly from western countries, the aged Chinese may enjoy a “healthy” somatotype (obesity rate: China, 13.8%; United State, 33.9%, p<0.05).8 However, even in this relatively “lean” geriatric population, we also found that obesity plays a negative effect on the development of TOD. It reminded us a Chinese old proverb: billions cannot buy someone thin at his old age. Keeping fit is really necessary for the Chinese elderly. Given the gender differences in obesity-related TOD, female Chinese elderly should pay more attention to control their body weight.

Our community-based study contained the relatively large and centralized sample size, which gives us sufficient data with a variety of statistical methods for some subgroup analysis. However, our findings still have certain limitations to be interpreted. The first limitation is the fact that in cross-sectional analyses, the causal association between two related factors cannot be well established, but some prospective data would be available with our undergoing follow-up study. The second limitation is that the present study only focused on the traditional measures of obesity, which did not include several novel indexes, such as visceral fat. However, the obesity parameters in the present study are routinely used in clinical practice in China. The third limitation of this study is several new parameters of LVDD assessment recommended by the recent guidelines, including the early mitral flow deceleration and peak velocity of tricuspid regurgitation (peak-TR velocity), were not included in this study.29 The fourth limitation is the sample size which is not large enough to support the follow-up subgroup analysis for further discussion.

Conclusion

In Chinese community-dwelling elderly, the prevalence of obesity and overweight were 13.8% and 38.9%, respectively. The incidence of asymptomatic TOD was significantly associated with overweight and obesity, especially in women, whereas the underweight may favor in the prevention of TOD.