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Article

Association between Aerobic Exercise and High-Density Lipoprotein Cholesterol Levels across Various Ranges of Body Mass Index and Waist-Hip Ratio and the Modulating Role of the Hepatic Lipase rs1800588 Variant

1
Institute of Medicine, Chung Shan Medical University, Taichung City 40201, Taiwan
2
Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan
3
Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung City 40201, Taiwan
*
Authors to whom correspondence should be addressed.
Genes 2019, 10(6), 440; https://doi.org/10.3390/genes10060440
Submission received: 29 April 2019 / Revised: 29 May 2019 / Accepted: 3 June 2019 / Published: 10 June 2019

Abstract

:
Changes in concentrations of high-density lipoprotein cholesterol (HDL-C) are modified by several factors. We examined the relationship between aerobic exercise and HDL-C among different categories of body mass index (BMI) and waist-hip ratio (WHR) and the impact of rs1800588 variant in the hepatic lipase (LIPC) gene. We analyzed data from 6184 men and 8353 women aged 30–70 years. Participants were grouped into two WHR categories: Normal (0 < WHR < 0.9 for men and 0 < WHR < 0.8 for women) and abnormal (WHR ≥ 0.9 for men and WHR ≥ 0.8 for women). The BMI categories were: Underweight (BMI < 18.5 kg/m2), normal weight (18.5 ≤ BMI < 24 kg/m2), overweight (24 ≤ BMI < 27 kg/m2), and obese (BMI ≥ 27 kg/m2). Multivariate linear regression models were used to investigate associations between HDL-C and exercise. Aerobic exercise was significantly associated with higher HDL-C (β = 1.18325; p < 0.0001) when compared with no exercise. HDL-C was significantly lower in persons with abnormal compared to those with normal WHR (β = −3.06689; p < 0.0001). Compared with normal weight, overweight and obese categories were associated with lower HDL-C, with β values of −4.31095 and −6.44230, respectively (p < 0.0001). Unlike rs1800588 CT and TT genotypes, associations between aerobic exercise and HDL were not significant among CC carriers no matter their BMI or WHR.

1. Introduction

Prospective cohort studies have consistently demonstrated that high-density lipoprotein-cholesterol (HDL-C) is a strong predictor of cardiovascular diseases in different populations [1,2,3]. It has antioxidative, anti-inflammatory, antidiabetic, and anti-thrombotic activities [4,5], and plays an essential role in the management of coronary heart disease (CHD) and risk reduction [6]. A higher level of HDL-C is protective against heart disease. On the other hand, lower levels HDL-C (defined as <40 mg/dL in men and <50 mg/dL in women) [7] are associated with higher risks for heart disease.
Environmental and genetic factors contribute to variations in HDL-C levels. Exercise training is one of the strategies suggested to improve HDL-C function via proprotein convertase subtilisin/kexin type 9 (PCSK9) and/or sterol regulatory element binding protein 2 (SREBP2) [1]. Besides modifying HDL subclass distribution, exercise training has also resulted in a decrease in the body mass index of obese women [4]. Aerobic exercise has been recommended for the prevention of coronary heart disease [1,8], which is a serious health issue in Taiwan. This exercise training also reduces stress, has fewer side effects compared to medications, and is easier to carry out [1]. Of note, many studies have investigated the benefits of exercise on HDL-C. In our recently published study, we found that aerobic exercise was associated with a higher level of HDL-C (β = 1.3154; p < 0.0001) among Taiwanese adults [9]. Findings from a previous study have suggested that compared to other lipid fractions, HDL-C levels are more sensitive to aerobic exercise [1].
Several variants have been associated with HDL-C [10]. The hepatic lipase (LIPC) gene located on chromosome 15 (q21–q23) influences the production of the hepatic lipase enzyme that plays a vital role in lipid metabolism [11]. Based on previous data, genetic variation in hepatic lipase activity is an important determinant of plasma HDL-C concentrations [12]. Rs1800588, a common variant in the LIPC gene has been associated with a higher concentration of HDL-C [13]. Prior work involving female carriers of this variant demonstrated that those carrying at least one copy of the minor allele had higher HDL- levels than those that were homozygous for the major allele [14]. In addition, variations in several genes (including the LIPC gene) are reported to influence interindividual variability in the HDL-C response to exercise [14]. However, the impact of physical exercise on the relationship between hepatic lipase activity and HDL-C levels has not been reported in Taiwan.
Obesity indices including body mass index (BMI) and waist-hip ratio (WHR) increase with increasing categories of abnormal serum lipids [15]. BMI is defined as a person’s weight in kilograms divided by the square of height in meters while WHR is a dimensionless ratio that is calculated as the waist circumference divided by the hip circumference. Among the anthropometric measures, WHR has shown good correlations with serum lipids especially among elderly women [16]. On the other hand, negative associations have been found between BMI and HDL-C [17]. Based on previous literature, significant differences have been found between pre and post-test values of HDL-C, BMI, and WHR of individuals who were engaged in 8 weeks of aerobic training [18]. Considering that BMI and WHR are independently associated with HDL-C and that aerobic training has improved both anthropometric variables, we investigated the association between aerobic exercise and HDL-C across different categories of BMI and WHR. Furthermore, we tested whether this association is modified by a selected HDL-C raising variant (LIPC rs1800588).

2. Materials and Methods

2.1. Data Source

Phenotypic and genotypic data were collected from participants (aged 30–70 years) that were enrolled in Taiwan Biobank from 2008–2016. Recruitment methods in the Biobank are in accordance with relevant guidelines and regulations. Written informed consents are obtained from all participants prior to data collection. Data collection was through questionnaires as well as physical and biochemical examinations. The Institutional Review Board of Chung Shan Medical University approved this study (project identification code CS2-16114).

2.2. Study Participants

We analyzed data from 6184 men and 8353 women aged 30–70 years recruited in the Taiwan Biobank project from 2012–2016. Age, sex, BMI, WHR, and lifestyle (physical activity, coffee drinking, smoking, alcohol consumption, and vegetarian diet) measures were determined from the database. Participants were grouped into WHR categories as follows: Normal (0 < WHR < 0.9 for men and 0 < WHR < 0.8 for women), and abnormal (WHR ≥ 0.9 for men and WHR ≥ 0.8 for women). Likewise, the BMI categories included the following: Normal weight (18.5 ≤ BMI < 24 kg/m2), overweight (24 ≤ BMI < 27 kg/m2), and obesity (BMI ≥ 27 kg/m2). Information on aerobic exercise was self-reported. Using questionnaires in the Biobank, participants selected at most 3 types of their habitual aerobic activities, which included jogging, strolling, swimming, yoga, taijiquan, biking, and aerobic dance. The minimum amount of exercise was 30 min per session, at least 3 times per week, for the last 3 months. “No exercise” was defined as participation in exercise for less than 30 min per day and less than two times per week.

2.3. SNP Selection and Genotyping

We selected the LIPC variant (rs1800588) that has been consistently associated with elevated levels of HDL-C through a literature search. Genotyping was performed using TaqMan SNP Genotyping Assays from Applied Biosystems (ABI; Foster City, CA, USA). We included only participants with call rates greater than 90%. Polymorphic variants with minor allele frequency (MAF) <0.05, as well as those whose genotypes deviated from the Hardy-Weinberg equilibrium (HWE) were excluded.

2.4. Statistical Analysis

Analyses were performed using the SAS 9.4 software (SAS Institute, Cary, NC, USA). Differences in HDL-C among the body fat indicators (BMI and WHR) were compared using the t-test. The association between HDL-C and exercise was determined using multivariate linear regression models. Data were presented as mean ± standard error (SE) for continuous variables. Values of p < 0.05 were considered statistically significant.

3. Results

Average levels of HDL-C in study participants were determined among different categories of WHR and BMI as shown in Table 1 and Table 2. Among participants who were engaged in aerobic exercise, HDL level was 56.43 ± 0.35 mg/dL in those with normal WHR and 53.89 ± 0.23 mg/dL in those with abnormal WHR (p < 0.0001). Mean HDL levels differed significantly among the different categories of BMI (p < 0.0001). Individuals who had aerobic exercise had higher HDL-C than those who did not exercise. That is 66.83 ± 1.55 mg/dL vs. 65.32 ± 0.80 mg/dL for underweight; 58.60 ± 0.28 mg/dL vs. 57.61 ± 0.19 mg/dL for normal weight; 52.02 ± 0.32 mg/dL vs. 49.51 ± 0.21 mg/dL for overweight; and 47.30 ± 0.35 mg/dL vs. 46.49 ± 0.23 mg/dL for the obese category. The overall effect of aerobic exercise on HDL-C is shown in Table 3. Aerobic exercise was significantly associated with higher HDL-C (β = 1.18325; p < 0.0001) when compared with no exercise. HDL-C was significantly lower in persons with abnormal compared to those with normal WHR (β = −3.06689; p < 0.0001). Compared with normal weight individuals, overweight and obese groups were also associated with lower HDL-C, with β values of −4.31095 and −6.44230, respectively (p < 0.0001). Table 4 is the association of HDL-C based on WHR. There was an interaction between WHR and aerobic exercise on HDL-C (p = 0.0421). After the stratification, aerobic exercise was associated with a higher HDL-C especially in those with normal WHR (β = 1.69668, p < 0.0001 vs. 0.97921, p < 0.0001). Table 5 is an association of HDL-C with aerobic exercise based on BMI. After stratification by BMI, significant associations of aerobic exercise and HDL-C were found only for normal (β = 1.03261, p = 0.0019) and overweight (β = 2.01758, p < 0.0001) categories. Rs1800588 CT and TT carriers who had aerobic exercise were associated with a higher HDL-C compared to their inactive counterparts. That is, significant increases in HDL were noticed only among aerobically active CT carriers with normal weight (β = 1.99961, p = 0.0027), overweight (β = 1.59362, p = 1.1371), and abnormal WHR (β = 1.48073, p = 0.0063), as well as in TT carriers with both normal and abnormal WHR (β = 4.04073, p = 0.0094 and β = 2.19244, p = 0.0445), and those in the overweight category (5.54693, p = 0.0003) (Table 6).

4. Discussion

The primary objective of this study was to determine the association between aerobic exercise and HDL-C among different categories of BMI and WHR and also to highlight the modulating role of rs1800588 variant in the hepatic lipase gene. We found that (1) consistent with our previous findings [9], aerobic exercise was better than no exercise for improving HDL-C in Taiwanese adults. (2) Aerobic exercise was associated with a lower HDL-C in persons with abnormal compared to normal WHR (β = −306,689, p < 0.0001). In addition, there was an interaction between WHR and aerobic exercise. (3) Compared with aerobically active normal weight individuals, their overweight and obese counterparts were associated with lower HDL-C levels. (4) Unlike the LIPC rs1800588 TT and CT genotype, the effect of CC genotype on HDL was not modified by aerobic exercise no matter the BMI or WHR category. Our study findings highlight the impact of aerobic exercise on HDL-C. This in part is mediated by liver X receptor (LXR) [1] and liver ATP-binding cassette transporters A-1 (ABCA1) [19] as previously reported.
Previously published articles have discussed associations of HDL-C with anthropometric measures [20] and physical exercise [1,9]. Findings from a study of 28,000 men and women suggested that HDL-cholesterol decreased concurrently with increases in BMI [21]. In another study, WHR was found to be a good predictor of the lipid profile (β = 3.51, p = 0.005) [22]. Aerobic exercise has resulted in significant changes in body fat measures like BMI and WHR among young Taiwanese adults who were obese [23]. Despite the numerous findings, the impact of aerobic exercise on HDL levels based on anthropometric measures and genetic factors have not been reported in Taiwan. In the current study, we included rs1800588 variant in the LIPC gene in the model and found that the effect of CC genotype on HDL was not modified by aerobic exercise no matter the BMI or WHR category. However, the magnitude of the association between CT and TT genotypes on HDL-C differed with respect to BMI and WHR categories. For instance, we found that the effect of CT genotype on HDL was significant only among aerobically active normal weight and overweight adults as well as those with abnormal WHR, while the effect of TT genotype on HDL-C was significant only among aerobically active overweight adults and those with both normal and abnormal WHR. The mechanisms explaining these differences in HDL-C response with respect to body fat measures are still to be clearly understood. However, it has been reported that HDL levels of certain individuals do not necessarily increase no matter the exercise regimen [14,24]. Another study including Caucasian women found that the effect of rs1800588 variant on HDL-C was modified by physical activity [14]. However, stratifications were not made based on genotypes.
The T allele of rs1800588 has been associated with higher baseline levels of HDL-C [25]. As stated earlier female carriers of the rs1800588 variant with at least one copy of the minor allele had higher concentrations of HDL-C than those that were homozygous for the major allele [14]. Further analysis of data from those women demonstrated that the per-minor allele increase in HDL-C was greater in active than inactive women. This aligns with other findings which suggested that LIPC polymorphisms might serve as useful indicators of higher HDL-C in women [25,26]. Prior findings from studies investigating the relationship between LIPC rs1800588 and HDL-C differ according to gender and ethnicity [11]. In our study, there was the presence of LIPC rs1800588 CC, CT and TT genotypes. However, in a study by Brinkley and his colleagues, there were no subjects with the rs1800588 TT genotype [25]. This highlights the diverse effect of the variant on HDL-C levels.
Anthropometric, lifestyle, environmental, and genetic factors influence changes in Lipid fractions [1]. Moderate intensity aerobic exercise is related to a higher HDL-C [9]. Variations in HDL-C responses to exercise are influenced by several factors including sex, changes in body composition and genetic effects [27]. Based on our analyzed data, there was a significant LIPC rs1800588*exercise effect on HDL-C particularly in overweight adults, with higher levels in CT and TT compared to CC carriers (p = 0.0281 for the interaction). There were no genotype*exercise interactions for HDL-C across other BMI and WHR categories.
In summary, we report evidence that associations between aerobic exercise and HDL-C levels in Taiwanese adults differed not only across different ranges of body mass index and waist-to-hip ratios but also among carriers of the rs1800588 variant located in the hepatic lipase gene. However, unlike CT and TT genotypes, the effects of aerobic exercise on HDL-C levels were not significant among rs1800588 CC carriers no matter their BMI or WHR.

Author Contributions

Conceptualization, Y.N., M.-C.C. and Y.-P.L.; Formal analysis, O.N.N. and K.-J.L.; Investigation, M.C.C.; Methodology, Y.N., O.N.N., K.-J.L. and Y.-P.L.; Resources, M.-C.C. and Y.-P.L.; Supervision, M.-C.C. and Y.-P.L.; Writing—original draft, Y.N.; Writing—review & editing, O.N.N., K.-J.L., M.-C.C. and Y.-P.L.

Funding

This work was supported by the Ministry of Science and Technology (MOST 105-2627-M-040-002, 106-2627-M-040-002, 107-2627-M-040-002).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Table 1. Mean HDL-C levels of participants categorized by waist-hip ratio (WHR).
Table 1. Mean HDL-C levels of participants categorized by waist-hip ratio (WHR).
Normal WHRAbnormal WHRp-Value
(n = 5190)(n = 9347)
nMean ± SEnMean ± SE
Exercise
No exercise356555.01 ± 0.23614852.13 ± 0.16<0.0001
Aerobic162556.43 ± 0.35319953.89 ± 0.23<0.0001
BMI
Underweight27666.49 ± 0.8713263.98 ± 1.230.0993
Normal315958.28 ± 0.24379957.67 ± 0.210.0587
Overweight133249.38 ± 0.30293950.84 ± 0.22<0.0001
Obese42346.32 ± 0.48247746.80 ± 0.210.3770
Body fat rate
Normal394156.50 ± 0.22360055.00 ± 0.23<0.0001
Abnormal124952.15 ± 0.36574751.31 ± 0.160.0330
Sex
Women209662.74 ± 0.30625756.46 ± 0.16<0.0001
Men309450.52 ± 0.21309045.19 ± 0.18<0.0001
Age, year
30–40206655.56 ± 0.30204652.06 ± 0.28<0.0001
40–50149555.26 ± 0.36259252.86 ± 0.26<0.0001
51–60114155.70 ± 0.42300053.11 ± 0.24<0.0001
61–7048855.07 ± 0.63170952.68 ± 0.310.0004
Smoking
Never398057.06 ± 0.22748954.29 ± 0.15<0.0001
Former60351.30 ± 0.4894647.50 ± 0.37<0.0001
Current30749.09 ± 0.5091245.37 ± 0.37<0.0001
Drinking
Never472055.72 ± 0.20846453.15 ± 0.14<0.0001
Former10749.41 ± 1.0526144.30 ± 0.65<0.0001
Current36353.85 ± 0.6762250.64 ± 0.540.0003
Coffee drinking
No338055.01 ± 0.23632252.03 ± 0.16<0.0001
Yes181056.29 ± 0.33302554.20 ± 0.24<0.0001
Vegetarian diet
Non472955.69 ± 0.20841852.93 ± 0.14<0.0001
Former22755.08 ± 0.9645852.53 ± 0.630.0234
Current23451.01 ± 0.7447149.38 ± 0.560.0841
SE = standard error, BMI = body mass index, HDL-C = high-density lipoprotein cholesterol.
Table 2. Mean HDL-C levels of participants categorized by BMI.
Table 2. Mean HDL-C levels of participants categorized by BMI.
UnderweightNormal WeightOverweightObesep-Value
(n = 408)(n = 6958)(n = 4271)(n = 2900)
nMean ± SEnMean ± SEnMean ± SEnMean ± SE
Exercise
No exercise31265.32 ± 0.80456357.61 ± 0.19279149.51 ± 0.21204746.49 ± 0.23<0.0001
Aerobic9666.83 ± 1.55239558.60 ± 0.28148052.02 ± 0.3285347.30 ± 0.35<0.0001
Waist-hip ratio
Normal27666.49 ± 0.87315958.28 ± 0.24133249.38 ± 0.3042346.32 ± 0.48<0.0001
Abnormal13263.98 ± 1.23379957.67 ± 0.21293950.84 ± 0.22247746.80 ± 0.21<0.0001
Body fat rate
Normal40865.68 ± 0.71519158.20 ± 0.19168647.64 ± 0.2625644.66 ± 0.63<0.0001
Abnormal0-176757.20 ± 0.30258552.17 ± 0.23264446.93 ± 0.20<0.0001
Sex
Women33366.55 ± 0.79476660.72 ± 0.19196354.66 ± 0.27129151.06 ± 0.30<0.0001
Men7561.83 ± 1.52219251.92 ± 0.25230846.75 ± 0.21160943.25 ± 0.21<0.0001
Age
30–4018364.13 ± 1.01215657.83 ± 0.2794149.69 ± 0.3683245.82 ± 0.35<0.0001
40–509966.72 ± 1.44196658.60 ± 0.30120949.75 ± 0.3381346.35 ± 0.35<0.0001
51–608167.20 ± 1.66184658.16 ± 0.32135551.19 ± 0.3185947.40 ± 0.37<0.0001
61–704566.96 ± 2.4099056.55 ± 0.4376650.79 ± 0.4539647.96 ± 0.51<0.0001
Smoking
Never37566.05 ± 0.74590058.97 ± 0.17316951.54 ± 0.21202548.20 ± 0.23<0.0001
Former1259.00 ± 4.6048953.24 ± 0.5660448.66 ± 0.4544444.45 ± 0.44<0.0001
Current2162.86 ± 2.9756951.38 ± 0.5349845.10 ± 0.4843142.13 ± 0.42<0.0001
Drinking
Never39265.64 ± 0.73651258.10 ± 0.16377850.56 ± 0.19250247.04 ± 0.21<0.0001
Former162.0010051.37 ± 1.1612745.49 ± 0.9114041.94 ± 0.75<0.0001
Current1567.07 ± 3.7334656.97 ± 0.7636650.26 ± 0.6625846.26 ± 0.60<0.0001
Coffee drinking
No30165.30 ± 0.79464857.21 ± 0.19283449.60 ± 0.21191946.24 ± 0.23<0.0001
Yes10766.74 ± 1.56231059.45 ± 0.28143751.93 ± 0.3398147.67 ± 0.34<0.0001
Vegetarian diet
No36466.12 ± 0.74624058.28 ± 0.17390050.57 ± 0.19264346.91 ± 0.20<0.0001
Former969.22 ± 5.1834358.69 ± 0.7618349.02 ± 0.7915045.59 ± 0.85<0.0001
Current3560.20 ± 2.5437551.76 ± 0.6018847.82 ± 0.7510743.79 ± 0.97<0.0001
Table 3. Overall effect of aerobic exercise, WHR, and BMI on HDL-C levels.
Table 3. Overall effect of aerobic exercise, WHR, and BMI on HDL-C levels.
β-Coefficientp-Value
Exercise (ref: No exercise)
Aerobic1.18325<0.0001
Waist-hip ratio (ref: Normal)
Abnormal−3.06689<0.0001
BMI (ref: Normal)
Underweight5.64809<0.0001
Overweight−4.31095<0.0001
Obese−6.4423<0.0001
Body fat rate (ref: Normal)
Abnormal−2.1956<0.0001
Sex (ref: Women)
Men−9.87778<0.0001
Age (ref: 30–40)
40–500.758410.003
51–601.18484<0.0001
61–700.873610.0068
Smoking (ref: Never)
Former−0.160710.6368
Current−2.92965<0.0001
Drinking (ref: Never)
Former−1.355880.0292
Current4.0583<0.0001
Coffee drinking (ref: No)
Yes1.29158<0.0001
Vegetarian diet (ref: No)
Former−0.883080.0484
Current−5.69481<0.0001
Table 4. Multiple linear regression showing the effect of aerobic exercise on HDL-C based on WHR.
Table 4. Multiple linear regression showing the effect of aerobic exercise on HDL-C based on WHR.
Normal WHRAbnormal WHR
βp-Valueβp-Value
Exercise (ref: No exercise)
Aerobic1.69668<0.00010.979210.0002
BMI (ref: Normal)
Underweight5.59243<0.00015.02426<0.0001
Overweight−5.27181<0.0001−3.73275<0.0001
Obese−7.09311<0.0001−6.20423<0.0001
Body fat rate (ref: Normal)
Abnormal−2.42606<0.0001−2.10034<0.0001
Sex (ref: Women)
Men−10.28598<0.0001−9.68871<0.0001
Age (ref: 30–40)
40–500.635130.11450.83250.0128
51–601.437760.00151.048590.0017
61–701.371120.02670.711970.0659
Smoking (ref: Never)
Former−0.617030.25930.104170.8122
Current−3.36699<0.0001−2.6385<0.0001
Drinking (ref: Never)
Former−2.051450.0784−1.291730.0784
Current3.60076<0.00014.30474<0.0001
Coffee drinking (ref: No)
Yes0.800190.02031.59424<0.0001
Vegetarian diet (ref: No)
Former−1.07240.178−0.790710.1425
Current−6.41356<0.0001−5.30493<0.0001
WHR*exercisep-value = 0.0421
β = β value, ref. = reference.
Table 5. Multiple linear regression showing the effect of aerobic exercise on HDL-C based on BMI.
Table 5. Multiple linear regression showing the effect of aerobic exercise on HDL-C based on BMI.
UnderweightNormal WeightOverweightObese
βp-Valueβp-Valueβp-Valueβp-Value
Exercise (ref: No exercise)
Aerobic0.259060.89051.032610.00192.01758<0.00010.456520.2547
WHR (ref: Normal)
Abnormal−4.159590.0097−3.93381<0.0001−2.04105<0.0001−1.816860.0004
Body fat rate (ref: Normal)
Abnormal--−3.48363<0.0001−0.447240.3138−1.172410.0718
Sex (ref: Women)
Men−6.108770.0038−10.93384<0.0001−9.12807<0.0001−7.89031<0.0001
Age (ref: 30–40)
40–504.016150.02981.372460.0004−0.105430.82310.328850.4854
51–604.587140.02291.63715<0.00010.609320.20410.903070.0615
61–704.246580.10941.030370.04360.657880.23711.175870.0531
Smoking (ref: Never)
Former−6.127630.1880−1.086820.08300.752940.1476−0.18130.7427
Current−2.774270.4150−3.40832<0.0001−2.86523<0.0001−2.51485<0.0001
Drinking (ref: Never)
Former−2.208630.8829−1.672390.1854−1.572990.1130−1.554930.0702
Current5.433790.17974.53503<0.00014.27903<0.00012.86789<0.0001
Coffee drinking (ref: No)
Yes0.771430.64111.33778<0.00011.73784<0.00010.743990.0472
Vegetarian diet (ref: No)
Former2.808440.55670.111920.8694−2.726990.0008−1.358440.0877
Current−5.403910.0338−7.19076<0.0001−3.77391<0.0001−4.27177<0.0001
Table 6. The impact of aerobic exercise on HDL-C stratified by rs1800588 variant and obesity indexes.
Table 6. The impact of aerobic exercise on HDL-C stratified by rs1800588 variant and obesity indexes.
rs1800588WHR StratificationBMI Stratification
Normal WHRAbnormal WHRUnderweightNormalOverweightObese
βp-Valueβp-ValueΒp-Valueβp-Valueβp-Valueβp-Value
CC1.364760.07980.787430.16222.388640.51360.638970.37301.228610.10931.471010.1052
CT1.222360.08701.480730.0063−1.459580.78091.999610.00271.593620.03710.001270.9987
TT4.040730.00942.192440.044515.71380.28481.182900.39205.546930.00032.022560.2826
P-interaction0.58650.07920.47330.95960.02810.9294
The p-interaction shown is for hepatic lipase (LIPC) Rs1800588 and exercise (Rs1800588*exercise).

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MDPI and ACS Style

Nassef, Y.; Nfor, O.N.; Lee, K.-J.; Chou, M.-C.; Liaw, Y.-P. Association between Aerobic Exercise and High-Density Lipoprotein Cholesterol Levels across Various Ranges of Body Mass Index and Waist-Hip Ratio and the Modulating Role of the Hepatic Lipase rs1800588 Variant. Genes 2019, 10, 440. https://doi.org/10.3390/genes10060440

AMA Style

Nassef Y, Nfor ON, Lee K-J, Chou M-C, Liaw Y-P. Association between Aerobic Exercise and High-Density Lipoprotein Cholesterol Levels across Various Ranges of Body Mass Index and Waist-Hip Ratio and the Modulating Role of the Hepatic Lipase rs1800588 Variant. Genes. 2019; 10(6):440. https://doi.org/10.3390/genes10060440

Chicago/Turabian Style

Nassef, Yasser, Oswald Ndi Nfor, Kuan-Jung Lee, Ming-Chih Chou, and Yung-Po Liaw. 2019. "Association between Aerobic Exercise and High-Density Lipoprotein Cholesterol Levels across Various Ranges of Body Mass Index and Waist-Hip Ratio and the Modulating Role of the Hepatic Lipase rs1800588 Variant" Genes 10, no. 6: 440. https://doi.org/10.3390/genes10060440

APA Style

Nassef, Y., Nfor, O. N., Lee, K. -J., Chou, M. -C., & Liaw, Y. -P. (2019). Association between Aerobic Exercise and High-Density Lipoprotein Cholesterol Levels across Various Ranges of Body Mass Index and Waist-Hip Ratio and the Modulating Role of the Hepatic Lipase rs1800588 Variant. Genes, 10(6), 440. https://doi.org/10.3390/genes10060440

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