Effects of Age, Gender, and Menopausal Status on Small Dense Low-Density Lipoprotein Cholesterol and Low-Density Lipoprotein Cholesterol Fractions; JMS-II Cohort Study

DOI: https://doi.org/10.21203/rs.3.rs-34566/v1

Abstract

Background:

Small dense low-density lipoprotein cholesterol (sdLDL-C) might be a better cardiovascular disease (CVD) indicator than low-density lipoprotein cholesterol (LDL-C); however, details regarding its epidemiology remain elusive. The present study aimed at evaluating the effect of age, gender, and menopausal status on sdLDL-C levels and sdLDL-C/LDL-C ratio in the Japanese population.

Methods:

We examined the baseline cross-sectional data from the Jichi Medical School-II Cohort Study, including 5,208 participants (2,397 men and 2,811 women). To assess age-related trends, the sdLDL-C and sdLDL-C/LDL-C ratios were plotted against gender. We evaluated the effect of age and menopausal status using multiple linear regression analysis.

Results:

We observed that in men, the sdLDL-C levels and sdLDL-C/LDL-C ratio increased during younger adulthood, peaked at 50–54 years, and then decreased. In women, we observed relatively regular increasing trends of sdLDL-C level and sdLDL-C/LDL-C ratio until approximately 65 years, followed by a downward or pleated trend. The crossover of sdLDL-C levels for the genders occurred at 70–74 years, but we could not observe any sdLDL-C/LDL-C ratio crossover. Standardized sdLDL-C levels and sdLDL-C/LDL-C ratio in 50-year old men, premenopausal women, and postmenopausal women were 26.6, 22.7, and 27.4 mg/dL and 0.24, 0.15, and 0.23, respectively. The differences between premenopausal and postmenopausal women were significant (P<0.001).

Conclusions:

sdLDL-C and sdLDL-C/LDL-C ratios show different distributions by age, gender, and menopausal status with trends different from other lipids. A subgroup-specific approach would be necessary to implement sdLDL-C for CVD prevention strategies, fully considering age-related trends, gender differences, and menopausal status.

Introduction

Although the association between hypercholesterolemia and cardiovascular disease (CVD) has been well established, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (nonHDL-C) have not been good enough to predict risk stratification and we need the novel target.13

Small dense low-density lipoprotein cholesterol (sdLDL-C) shows increased penetration into the arterial wall by the small sizes and high susceptibility to oxidation and may be one of the leading causes of atherosclerosis.4 In fact, elevated sdLDL-C can be found in patients with metabolic syndrome, which have been found as highly atherogenic conditions without hypercholesterolemia.5 Current studies suggest that the sdLDL-C or sdLDL-C/LDL-C ratio might be the better factors for the prediction of CVD than total cholesterol or LDL-C in the general population or patients with CVD.69

However, almost all of the current analytical strategies might be not able to adjust accurately the interaction between age and sdLDL-C due to the association between the lipid factors and age, which might follow a curvilinear model. Few studies have evaluated how age is associated with sdLDL-C and sdLDL-C/LDL-C ratio over a wide age range and distinguished the effects of menopause and gender on sdLDL-C and sdLDL-C fraction from those of aging.10,11

Diet composition, which is affected by aging, has a significant effect on blood cholesterol and the absorption, synthesis, and metabolism per se of fat and lipoproteins change with age.12,13 Asian age-related trends of traditional lipid profiles displayed roughly an increasing trend, followed by a decreasing one at the middle-aged stage.14,15 However, sdLDL-C has been regulated by more complex mechanisms than regulating traditional lipids and might be plateaued or increased even at the middle-aged by changed metabolic functions with aging influencing sdLDL-C synthesis.5,7,12,16,17

Furthermore, the detailed multiple mechanisms of metabolizing sdLDLs are unknown in the real-world, population-based setting and the age-related trend of sdLDL-C might be different from the sdLDL-C/LDL-C ratio. In other words, the ability to generate sdLDL-C from LDL-C might be different among each generation, gender, and menopausal status.

Therefore, we evaluated the effect of age, gender, and menopausal status on sdLDL-C and sdLDL-C/LDL-C ratio in Japanese general population.

Methods

Population

This is a cross-sectional analysis of data from the Jichi Medical School (JMS)-II Cohort Study, which is a prospective, population-based cohort study aimed to evaluate the relationship between the risk factors of atherosclerosis and CVD in the Japanese general population. A total of 6,436 individuals participated in this study. Data were obtained from 13 rural districts in Japan, Shimotsuke, Kakara, Sue, Omori, Kamiichi, Wara, Takasu, Onabi, Nakatsu, Yame, Miwa, Ueno, and Saji areas, between April 2010 and December 2017. In each community, a local government office sent personal invitations for mass CVD screenings to all the subjects by mail. This study evaluated Japanese individuals who underwent the health screening that was conducted in accordance with the medical care system for the elderly and obtained informed consent for this study. We excluded individuals as follows: 1) taking lipid-lowering agents or anti-hyperglycemia agents (n = 1,073); 2) the use of hormone replacement therapy (n = 96); and 3) the data such as age, gender status, menopausal status, and sdLDL-C were not available (n = 73).

Measurements

Patients’ height and weight were measured using a standardized method, with 0.1 cm, 0.1 kg, and 0.1 cm units of measurement, respectively. Height was measured with stockinged feet. Weight was recorded with the subjects clothed. Body mass index (BMI) was calculated as weight (kg) / height (m2). Blood samples were taken after overnight fasting. An external laboratory (SRL, Tokyo, Japan) measured total cholesterol (TC), triglycerides (TGs), LDL-C, high-density lipoprotein cholesterol (HDL-C), and sdLDL-C levels. TC was measured using a cholesterol dehydrogenase-ultraviolet method. TG was measured via an enzymatic method. LDL-C and HDL-C were measured by direct methods. The SdLDL-C level was directly and selectively measured using a commercial kit (sdLDL-EX from Denka Seiken, Tokyo, Japan). Serum lipid markers were measured by the standardized program proposed by the Clinical and Laboratory Standards Institute. The nonHDL-C was calculated by subtracting HDL-C from TC. Information about medical history, lifestyle, and menopausal status were obtained with a self-reported questionnaire. Questions about past or present illness were asked, and if present, whether the subjects took medicine or not was confirmed. Smoking status was classified as smoking, former smoking, or never-smoking. All the participants included in the present study provided written informed consent prior to inclusion, and this study was approved by the Institutional Review Board of Jichi Medical School (Tochigi, Japan, IRB No. G09-39 [G17-64 revised]).

Statistical analysis

Baseline characteristics were summarized as mean ± standard deviation (SD) for normally distributed continuous variables and numbers and percentages for categorical variables. SdLDL-C and TG were highly skewed; these data were expressed as the median and interquartile range and transformed into natural logarithms before statistical analysis.

The one-way analysis of variance (ANOVA) was used for comparison among three groups, and differences were tested via post hoc pairwise comparison (Bonferroni). To explore the age-related trend in sdLDL-C and sdLDL-C/LDL-C ratio with age, geometric means or means and 95 percent confidence intervals for each variable in 5-year age ranges were derived and plotted against age range in each of the three groups.

Among the three groups, correlations between age and each parameter were assessed using multiple linear regression analysis. The agreement between the estimated sdLDL-C and sdLDL-C/LDL-C ratio and measured ones was assessed by Pearson’s correlation coefficient. To evaluate the effect of menopausal status on sdLDL-C and sdLDL-C/LDL-C ratio, using the beta value of each variable from the analysis in the premenopausal and postmenopausal group, data were standardized to a nominal 50 years of menopausal age, never smoking and zero alcohol for participants with normal weight (BMI 18.5–22.0). All statistical analyses were performed using SPSS version 22 (IBM, Chicago, IL, USA), and statistical significance was defined as P < 0.05.

Results

Baseline characteristics

After exclusions, 517 premenopausal women (mean age ± SD, 45.1 ± 4.2 years), 2,294 postmenopausal women (66.5 ± 8.8 years) and 2,397 men (64.1 ± 11.2 years) were analyzed. Demographic data for the three groups are shown in Table 1. Compared with men, premenopausal women had higher HDL-C and postmenopausal women had higher TC, LDL-C, HDL-C, and nonHDL-C. Compared with premenopausal women, postmenopausal women had higher fasting glucose, TC, LDL-C, TG, nonHDL-C, TC/LDL-C, sdLDL-C, and sdLDL-C/LDL-C. TC and LDL-C didn’t differ between men and premenopausal women.

Table 1

Baseline characteristics

 

Group 1 (G1)

Men

(n = 2,397)

Group2 (G2)

Premenopausal

Women (n = 517)

Group3 (G3)

Postmenopausal

Women (n = 2,294)

P

G1 vs G2

P

G1 vs G3

P

G2 vs G3

Age, years

64.1 ± 11.2

45.1 ± 4.2

66.5 ± 8.8

< 0.001

< 0.001

< 0.001

BMI, kg/m2

23.3 ± 3.0

22.3 ± 3.6

22.5 ± 3.3

< 0.001

< 0.001

0.631

Smoking

           

Current

600 (25.1%)

40 (7.7%)

67 (2.9%)

< 0.001

< 0.001

0.007

EX

1204 (50.3%)

73 (14.1%)

97 (4.2%)

< 0.001

< 0.001

< 0.001

Drinker

1869 (78.2%)

316 (61.1%)

866 (37.8%)

< 0.001

< 0.001

< 0.001

Glucose, mg/dL

100.7 ± 17.8

90.9 ± 9.4

96.3 ± 12.3

< 0.001

< 0.001

< 0.001

TC, mg/dL

198.7 ± 32.9

199.2 ± 31.2

215.4 ± 31.6

1.000

< 0.001

< 0.001

LDL-C, mg/dL

115.2 ± 29.6

114.2 ± 28.5

126.7 ± 28.7

1.000

< 0.001

< 0.001

TGs, mg/dL

100 (71, 146)

68 (50, 94)

89 (67, 123)

< 0.001

< 0.001

< 0.001

HDL-C, mg/dL

56.3 ± 13.8

67.8 ± 14.7

62.8 ± 14.9

< 0.001

< 0.001

< 0.001

Non HDL-C, mg/dL

142.4 ± 32.6

131.4 ± 31.2

152.5 ± 31.3

< 0.001

< 0.001

< 0.001

TC/HDL-C

3.7 ± 1.0

3.1 ± 0.8

3.6 ± 0.9

< 0.001

< 0.001

< 0.001

SdLDL-C. mg/dL

34.1 (24.8, 46.5)

23.0 (16.8, 30.5)

31.2 (23.5, 41.8)

< 0.001

< 0.001

< 0.001

SdLDL-C/LDL-C

0.32 ± 0.14

0.22 ± 0.08

0.29 ± 0.12

< 0.001

< 0.001

< 0.001

Data are expressed as mean ± standard deviation (SD), %, and median (25th percentile, 75th percentile). P-values were assessed in one-way analysis of variance (ANOVA) and post hoc pairwise comparison (Bonferroni). BMI = body mass index; TC = total cholesterol; LDL-C = low-density lipoprotein cholesterol; TGs = triglycerides; HDL-C = high-density lipoprotein cholesterol; non HDL-C = non high-density lipoprotein cholesterol; sdLDL-C = small dense low-density lipoprotein cholesterol.

sdLDL-C trends in 5-year age groups

To assess the age-related trend in sdLDL-C levels, a 5-year age stratification was applied, and geometric mean sdLDL-C levels for each age groups were calculated and plotted against gender.

For men, the level of sdLDL-C increased from 34.1 mg / dL in those ༜ 39 years to a maximum of 37.7 mg / dL in those of 50–54 years, followed by decreasing from 36.4 mg / dL in those of 55–59 years to 27.4 mg / dL in those of 80 ≤ years (Fig. 1). For women, a relatively regular increasing trend of the sdLDL-C level was found up to 60–64 year-olds. After 65 years, a downward trend was fitted. The maximum of the sdLDL-C level of women was 32.7 mg / dL. Moreover, sdLDL-C levels in men were higher than those in women for all age groups younger than 70-74-year-olds but exceeded those in women after the age of 75–79 years.

sdLDL-C/LDL-C ratio trends in 5-year age groups

SdLDL-C/LDL-C ratio in men increased from 0.30 in 40-44-year-olds to a maximum of 0.35 in 50-54-year-olds, plateaued in those of 55–59 years, and then decreased from 0.34 in those of 60–64 years to 0.28 in those of 80 ≤ years (Fig. 2). For women, these values increased from 0.20 in those < 39 years to a maximum of 0.28 in those of 65–69 years and plateaued after 70 ≤ years (with mean levels of 0.27). SdLDL-C/LDL-C ratio in men was higher than those in women for all age groups and the crossover of sdLDL-C/LDL-C ratio for the genders did not occur.

Trends in other lipoproteins (LDL-C, total cholesterol, TG, HDL-C, and total cholesterol/HDL-C ratio) in 5-year age groups

LDL-C level in men decreased almost linearly, while LDL-C level in women rapidly increased from 100.3 mg / dL in those aged < 39 years to a maximum of 132.8 mg / dL in 60-64-year-olds and decreased from 128.2 mg / dL in those aged 65–69 to 119.5 mg / dL in those 80 ≤ years (Fig. 3). The level of TC, nonHDL-C, and TC/HDL-C ratio revealed a pattern similar to the trend of LDL-C levels (Supplementary Fig. 1–3). The TG levels in men decreased almost linearly, while the level in women increased linearly (Supplementary Fig. 4). HDL-C in both men and women decreased almost linearly (Supplementary Fig. 5).

SdLDL-C and sdLDL-C/LDL-C ratio in the standardized analysis among the three groups

To standardize sdLDL-C and sdLDL-C/LDL-C ratio among the three groups and validate the above-mentioned turning points, the participants were re-stratified by age ranges corresponding to increasing, plateau and decreasing phases for each marker by gender and multiple linear regression analysis was then applied.

As shown in Table 2, among men, age was positively and negatively associated with log-transformed small dense low-density lipoprotein cholesterol (LNsdLDL-C) levels in those ≤ 54 years and ≥ 55 years, with beta values of 0.006 and − 0.010, respectively. Among premenopausal women, postmenopausal women ≤ 64 years, and postmenopausal women 65 ≥ years, beta values of age were 0.014, 0.014 and, -0.004, respectively. But the association between LNsdLDL-C and age was not significantly associated with men ≤ 54 years.

Table 2

Factors Associated with LN sdLDL-C Level in Age Groups by Gender

Variable

β

SE

P

Men ≤ 54, n = 475; mean ± SD, 46.7 ± 4.9 years, Pearson’s r = 0.320 (P < 0.001)

Age

0.006

0.004

0.169

BMI

0.033

0.006

< 0.001

Fasting glucose

0.004

0.002

0.003

Smoker

     

Current

0.018

0.054

0.747

EX

0.050

0.053

0.342

Drinker

0.144

0.059

0.015

Men ≥ 55, n = 1,922; 68.4 ± 7.6 years, Pearson’s r = 0.316 (P < 0.001)

Age

-0.010

0.001

< 0.001

BMI

0.032

0.003

< 0.001

Fasting glucose

0.002

0.001

< 0.001

Smoker

     

Current

0.025

0.030

0.402

EX

0.032

0.024

0.192

Drinker

0.076

0.024

0.001

Women (Premenopausal), n = 517; 45.1 ± 4.2 years, Pearson’s r = 0.330 (P < 0.001)

Age

0.014

0.005

0.002

BMI

0.024

0.006

< 0.001

Fasting glucose

0.008

0.002

< 0.001

Smoker

     

Current

0.021

0.072

0.775

EX

-0.005

0.056

0.934

Drinker

0.033

0.039

0.398

Women ≤ 64 years (Postmenopausal), n = 978; 58.3 ± 4.5 years, Pearson’s r = 0.261 (P < 0.001)

Age

0.014

0.003

< 0.001

BMI

0.019

0.004

< 0.001

Fasting glucose

0.004

0.001

< 0.001

Smoker

     

Current

0.052

0.067

0.437

EX

0.036

0.051

0.479

Drinker

0.007

0.026

0.792

Women 65 ≥ years (Postmenopausal), n = 1,316; 72.6 ± 5.7 year olds, Pearson’s r = 0.228 (P < 0.001)

Age

-0.004

0.002

0.045

BMI

0.022

0.004

< 0.001

Fasting glucose

0.003

0.001

0.001

Smoker

     

Current

-0.086

0.078

0.267

EX

0.204

0.076

0.007

Drinker

-0.007

0.024

0.760

β is a coefficient indicating a one-unit increase in an independent variable in multivariable linear logic regression analyses. SE = standard error; LNsdLDL-C = log transformed small dense low-density lipoprotein cholesterol; BMI = body mass index.

As shown in Table 3, the beta values of age for sdLDL-C/LDL-C ratio in men ≤ 54 years, 55–59 years, and 60 ≥ years, were 0.003, 0.004, and − 0.002, respectively. In women, the beta values of age for sdLDL-C/LDL-C ratio in premenopausal women, postmenopausal women ≤ 69 years, and 70 ≥ years were 0.001, 0.002, and 0.000, respectively. The association between sdLDL-C/LDL-C and age was not significantly associated with men 55–59 years, premenopausal women, and postmenopausal women 70 ≥ years.

Table 3

Factors Associated with SdLDL-C/LDL-C Ratio in Age Groups by Gender

Variable

β

SE

P

Men ≤ 54 years, n = 475; mean ± SD, 46.7 ± 4.9 year olds, Pearson’s r = 0.320 (P < 0.001)

Age

0.003

0.001

0.020

BMI

0.005

0.002

0.012

Fasting glucose

0.001

0.000

0.010

Smoker

     

Current

0.029

0.016

0.081

EX

0.011

0.016

0.501

Drinker

0.049

0.018

0.007

Men 55–59 years, n = 245; 57.2 ± 1.4 years, Pearson’s r = 0.222 (P < 0.001)

Age

0.004

0.007

0.589

BMI

0.003

0.003

0.385

Fasting glucose

0.001

0.001

0.285

Smoker

     

Current

0.049

0.032

0.125

EX

0.062

0.030

0.042

Drinker

0.055

0.027

0.041

Men 60≥ years, n = 1,677; 70.0 ± 6.8 years, Pearson’s r = 0.272 (P < 0.001)

Age

-0.002

0.000

< 0.001

BMI

0.005

0.001

< 0.001

Fasting glucose

0.001

0.000

< 0.001

Smoker

     

Current

0.029

0.009

0.001

EX

0.009

0.007

0.235

Drinker

0.055

0.007

< 0.001

Women (Premenopausal), n = 517; 45.1 ± 4.2 years, Pearson’s r = 0.313 (P < 0.001)

Age

0.001

0.001

0.147

BMI

0.003

0.001

0.002

Fasting glucose

0.001

0.000

< 0.001

Smoker

     

Current

0.010

0.012

0.413

EX

0.000

0.010

0.988

Drinker

0.015

0.007

0.027

Women ≤ 69 years (Postmenopausal), n = 1,434; 61.0 ± 5.5 years, Pearson’s r = 0.264 (P < 0.001)

Age

0.002

0.000

< 0.001

BMI

0.004

0.001

< 0.001

Fasting glucose

0.001

0.000

< 0.001

Smoker

     

Current

0.001

0.012

0.914

EX

0.013

0.010

0.201

Drinker

0.003

0.005

0.555

Women 70 ≥ years (Postmenopausal), n = 860; 75.6 ± 4.6 year olds, Pearson’s r = 0.167 (P < 0.001)

Age

0.000

0.001

0.704

BMI

0.004

0.001

< 0.001

Fasting glucose

0.001

0.000

< 0.001

Smoker

     

Current

-0.049

0.025

0.052

EX

0.034

0.021

0102

Drinker

-0.004

0.006

0.501

β is a coefficient indicating a one-unit increase in an independent variable in multivariable linear logic regression analyses. SE = standard error; sdLDL-C = small dense low-density lipoprotein cholesterol; LDL-C = low-density lipoprotein cholesterol; BMI = body mass index.

Considering the beta value of each variable, 50-year old standardized sdLDL-C levels in men, premenopausal women, and postmenopausal women were 26.6 mg / dL (95% CI; 26.4–26.9 mg / dL), 22.7 mg / dL (95% CI; 22.5–22.9 mg / dL), and 27.4 mg / dL (95% CI; 27.3–27.5 mg/dL), respectively. Standardized sdLDL-C/LDL-C ratio in men, premenopausal women, and postmenopausal women were 0.242 (95% CI; 0.240–0.244), 0.154 (95% CI; 0.153–0.156), and 0.227 (95% CI; 0.224–0.230), respectively. These differences between premenopausal women and postmenopausal women were significant (Bonferroni analysis, P < 0.001).

Discussion

To the best of our knowledge, the present study is the first to demonstrate the effects of age, gender, and menopausal status on the sdLDL-C and sdLDL-C/LDL-C ratio. The age-related sdLDL-C trends showed roughly an increasing phase, followed by a decreasing phase in men and a plateaued phase in middle-aged women. The age-related sdLDL-C trend in men, but not in women, was similar to traditional lipid cholesterol profiles. The reason for this gender difference might be related to the mechanism of hypertriglyceridemia in postmenopausal women, which induced small LDL particles.1820 There were age or gender-related differences in the ability to generate sdLDL-C from LDL-C. This ability in men was higher than that in women for all age groups or standardized groups, which is identical to the fact that atherosclerosis is more common in men than in women, considering sdLDL-C is a highly atherogenic factor.

Our study showed three important results. First, age showed partial correlation trends with sdLDL-C levels and sdLDL-C/LDL-C ratio and non-linear trends between age and sdLDL-C and sdLDL-C/LDL-C ratio were found in both men and women. Therefore, using the sdLDL-C and sdLDL-C/LDL-C ratio, the definition of CVD risk assessment and the adaption of the lipid-lowering therapy should fully consider age-related trends and gender differences.

Second, menopausal status was an additional determinant of increasing sdLDL-C and sdLDL-C/LDL-C ratio. SdLDLs are regulated through multiple and complex mechanisms regarding excess adiposity, free fatty acids, apo-lipoproteins, and action of lipoprotein lipase activity and cholesterol ester transfer protein for lipoproteins.12,16,17 In postmenopausal women, the decrease of plasma estrogen levels plays a significant role in reducing the clearance of LDL particles via LDL receptor and increasing TG and the number of smaller LDL particles.21 This hormone change was related to the process of regulating sdLDL-C but there was little evidence available on the association between menopausal status and sdLDL-C or sdLDL-C/LDL-C ratio in a real-world, population setting.22 Our results showed that sdLDL-C in postmenopausal women was 0.8 or 3.9 mg / dL higher than men or premenopausal women in the standardized analysis.

Finally, the relationships between age-related trends in sdLDL-C and sdLDL-C/LDL-C ratio and gender were different from traditional lipid factors, such as LDL-C. The crossover of LDL-C for the genders occurred in middle-aged patients. On the contrary, the crossover of sdLDL-C occurred between 70–74 years and the sdLDL-C/LDL-C ratio did not occur. Rather than LDL-C, the results of the sdLDL-C and sdLDL-C/LDL-C ratio might reflect the fact that, for all age groups, men have more susceptible to CVD than women, even with the narrowing gap of risk for CVD in postmenopausal women.23

Our findings suggest that a subgroup-specific approach is required to develop efficient cardiovascular disease prevention strategies using the sdLDL-C and sdLDL-C/LDL-C ratio.

Limitations

Our study has several limitations. First, age-related trends and levels of traditional lipid factors were almost similar to National Health and Nutrition Survey in Japan and our age-related trends of these factors were also similar to the trends of the Korean and Chinese Singaporeans population.14,15 But the trends of the US population or healthy Caucasian24,25 were not similar. Especially in healthy Caucasian patients aged ≥ 70 years, the trends for TC, LDL-C, and nonHDL-C differed from our observed trends and continuously increased. Although our results could not identify the mechanism, there might be racial differences. Therefore, it is unclear whether our results of sdLDL-C would be valid for these populations. Second, compared with mean lipid levels of the Korean population from KNHANES, Japanese men showed higher mean TC, LDL-C, and HDL levels (TC 199 mg / dL; LDL-C 115 mg / dL; HDL-C 56 mg / dL) compared to Korean men (TC 183 mg / dL; LDL-C 106 mg / dL; HDL 50 mg / dL), and Japanese women also showed higher mean levels (TC 212 mg / dL; LDL-C 124 mg / dL; HDL-C 64 mg / dL) than Korean women (TC 188 mg / dL; LDL-C 111 mg / dL; HDL-C 55 mg / dL). The reason for the difference in the lipoprotein profile between Japanese and Korean populations might be due to genetics and environmental factors. It is also unknown whether these factors might affect sdLDL-C levels and sdLDL-C/LDL-C ratio because sdLDLs are regulated through complex mechanisms. Third, we did not control for the effects of genetic factors, mental stress, diet, life activity, and socioeconomic status, which might be associated with changes in lipid metabolism.26,27,28

Conclusion

SdLDL-C and sdLDL-C/LDL-C ratio are differently distributed by age, gender, and menopausal status. Our findings suggest that a subgroup-specific approach is required to develop efficient CVD prevention strategies using the sdLDL-C and sdLDL-C/LDL-C ratio.

Abbreviations

sdLDL-C

small dense low-density lipoprotein cholesterol; CVD:cardiovascular disease; LDL-C:low-density lipoprotein cholesterol; TC:total cholesterol; LDL-C:low-density lipoprotein cholesterol; TGs:triglycerides; HDL-C:high-density lipoprotein cholesterol:nonHDL-C:non-high-density lipoprotein cholesterol; LNsdLDL-C:log-transformed small dense low-density lipoprotein cholesterol; JMS:Jichi Medical School; ANOVA; analysis of variance

Declarations

Acknowledgements

The authors thank the public health doctors, nurses, and officers in Shimotsuke, Kakara, Sue, Omori, Kamiichi, Wara, Takasu, Onabi, Nakatsu, Yame, Miwa, Ueno, and Saji areas, Japan, for their help, support, and contributions.

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. All the participants included in the present study provided written informed consent prior to inclusion, and this study was approved by the Institutional Review Board of Jichi Medical School (Tochigi, Japan, IRB No. G09-39 [G17-64 revised]).

Consent for publication

All the participants included in the present study provided written informed consent for publication.

Availability of data and materials

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

AUTHOR CONTRIBUTIONS

All authors have participated in the research and designed the study; TI and SI performed the statistics analysis; TI contributed to the drafting of the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare they have no conflict of interest with respect to this research study and paper.

Funding

This research was supported by the MEXT-Supported Program for the Strategic Research Foundation at Private Universities (S0901032); a Japanese Society for the Promotion of Science KAKENHI grant (No. 16K09141); a Grant-In-Aid from the Ministry of Health, Labour, and Welfare; Health and Labor Sciences and Japan Comprehensive Research on Cardiovascular and Lifestyle-Related Diseases grants (H26-Junkankitou-[Seisaku]-Ippan-001 and H29-Junkankitou-Ippan-003; IRB No. G09-39 [G17-64 revised]); and Jichi Medical University Almuni Association Project Grant 2020.

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