Association Between Sitting Time and Non-Alcoholic Fatty Liver Disease in South Korean Population: A Cross-Sectional Study

doi:10.21203/rs.3.rs-31718/v1

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Association Between Sitting Time and Non-Alcoholic Fatty Liver Disease in South Korean Population: A Cross-Sectional Study

https://doi.org/10.21203/rs.3.rs-31718/v1

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published 23 Sep, 2020

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Background: To examine the association between sitting time and non-alcoholic fatty liver disease among South Koreans aged ≥20 years.

Methods: Data from the 2016–2018 Korea National Health and Nutrition Examination Survey were used for the analysis. Non-alcoholic fatty liver disease was diagnosed according to a hepatic steatosis index of >36. Sitting time was categorized into as < 5, 5 -7, 8 – 10, and > 10 hours. Multiple logistic regression analysis was used to examine the association between sitting time and non-alcoholic fatty liver disease in South Korean population.

Results: A total of 13,518 participants were enrolled. The odds for having NAFLD in 5 – 7, 8 – 10, and > 10 sitting hours were 1.04 (CI: 0.85-1.28), 1.23(CI: 1.01-1.51), and 1.33(CI: 1.10-1.62), respectively. The odds ratio increased in magnitude with longer hours of sitting time (test for trend: P-value = 0.0009).

Conclusion: Advising physical exercises and discouraging sedentary activities may help to alleviate NAFLD among the South Korean population.

Cardiac & Cardiovascular Systems

Endocrinology & Metabolism

NAFLD

hepatic steatosis index

sitting time

physical activity

obesity

Non-alcoholic fatty liver disease (NAFLD) is among the most common liver disorders, with approximately 9%–30% of the population in developed countries having NAFLD^1,2. Fatty liver is often associated with heavy alcohol intake, but it may also occur in the absence of alcohol. The impact of globalization has led to a more westernized lifestyle and an increased frequency of obesity, and this contributed to an increased prevalence of NAFLD in the Asian countries ^3,4. The incidence of NAFLD is projected to increase due to the prevalence of sedentary behavior. If left untreated, NAFLD leads to end-stage liver disease. Thus, NAFLD is a serious public health burden that needs to be addressed and managed immediately ⁵.

Based on an evolutionary perspective, moving and engaging in every manner of manual labor was essential to survival of our species ^6,7. However, technological advances have created environments where sedentary lifestyle is encouraged and this is an increasing public health concern ⁸. The prevalence of sedentary behavior is increasing in modern societies, and adults are becoming less active throughout the day ⁹. Sedentary behavior involves sitting or lying down and not sufficiently spending energy substantially during the awake time ¹⁰. There is increasing evidence that excessive sitting time is associated with higher risk for adverse health outcomes such as cardiovascular disease, type 2 diabetes, cancer, and mortality ^11-13. Maintaining balanced energy expenditure and physical activity is a key aspect of healthy behavior; thus, sedentary lifestyle should not be considered lightly.

A positive relationship between sedentary behavior and NAFLD has been reported persistently. NAFLD is closely linked to obesity, insulin resistance, and metabolic disorders, all of which are associated with excessive sedentary behavior ^14,15. The purpose of this study was to examine the association between sitting time and NAFLD in the South Korean population and to elucidate whether the prolonged sitting time plays a potential role in developing NAFLD.

Study participants

Data were obtained from the 2016–2018 Korea National Health and Nutrition Examination Survey (KNHANES), which was conducted by the Korea Centers for Disease Control and Prevention. The KNHANES is a self-report survey conducted in Koreans of all age and is designed to gather annual national data on sociodemographic, economic, and health-related conditions and behaviors. The survey is consisted of three components (health interview, health examination and nutrition survey), all of which are conducted by trained staff members including physicians and medical technicians ¹⁶.

Of the 24,269 survey participants, we excluded who tested positive for serologic markers for liver disease (hepatitis B, hepatitis C, or liver cirrhosis) (n=735), were aged <20 years who did not undergo blood testing conducted by the KNHANES (n=6,868), and were not representative of covariates considered in the study (failed to answer the survey questionnaires) (n=3,148). Accordingly, the final sample size consisted of 13,518 participants (Fig. 1). This study was an analysis of existing data; thus it did not require approval by ethics review board. The data that was used in this study is the KNHANES and it has been getting an annual review and approval by Korea Centers for Disease Control (KCDC) Research Ethics Review Committee since 2007.

NAFLD classification

NAFLD is the main dependent variable in this study. NAFLD in this study was diagnosed according to the hepatic steatosis index (HSI), which was developed by the Department of Internal Medicine and Liver Research Institute in Seoul National University College of Medicine to efficiently select individuals for liver ultrasonography ¹⁷. The HSI formula was derived via logistic regression model using serum alanine aminotransferase (ALT) to serum aspartate aminotransferase (AST) ratio, body mass index (BMI), and diabetes mellitus status: HSI= 8 × (ALT/AST ratio) + BMI (+ 2, if female; + 2, if with diabetes mellitus)¹⁷. Participants were considered to have NAFLD if their HSI value was above 36.

Sitting time

The main independent variable is the participants’ sitting time. Sitting time was measured by asking participants to report the following question adopted from the International Physical Activity Questionnaire (IPAQ) ¹⁸. “How many hours did you spend time sitting per day during the last week?” This questionnaire indicates the time spent in academic and/or leisurely activities in a reclined or seated position. Participants’ responses to sitting time were divided into 4 categories using quartiles: < 5, 5 -7, 8 – 10, and > 10 hours.

Covariates

Sociodemographic, economic, and health-related factors were also considered in the study. Sociodemographic factors included age, educational attainment, and marital status. Economic factors included household income and occupation. Health-related factors include sleeping time (hours), total energy intake ((carbohydrate(g) x 4 kcal/g) + (protein(g) x 4 kcal/g) + (fat(g) x 9 kcal/g)), physical activeness (active: ≥150 min of moderate activity, ≥ 75 min of vigorous activity, or a mixture of both for ≥ 150 min; inactive: <150 min of moderate activity, <75 min of vigorous activity, or a mixture of both for <150 min), pack years of smoking, current drinking status, comorbidity of hypertension, and comorbidity of diabetes mellitus.

Statistical analysis

The frequencies and percentages of participants were calculated for each of the categorized variables included in the study. The variables included in the analysis were all categorical, those that were not initially categorical were converted into categories (age, BMI, total energy intake, etc.). The chi-square (χ²) test was performed to assess the chi-square differences between the groups within each categorized variable (Table 1). Multiple logistic regression analysis was used to calculate the odds ratios (with 95% confidence intervals) for NAFLD according to the participants’ report on sitting time (Table 2). The sub-group analysis for NAFLD stratified by the participants’ sex, physical activeness, and obesity status defined by BMI was also performed using multiple logistic regression (Fig. 2).

The reported odds ratios were adjusted for all covariates considered in the study. The sampling weight variables were applied in the analysis to improve the representativeness of the sample. KNHANES has constructed sample weights to take into account survey non-response, over-sampling, post-stratification, and sampling error. The use of sample weights in the analysis is recommended to produce an unbiased national estimate. For all data analysis, we used SAS version 9.4 (SAS Institute, Inc, Cary, NC, USA) and the significance level was set at p value < 0.05.

The general characteristics of the study population are shown in Table 1. Of 13,518 participants, 3,140 (23.2%) reported had NAFLD. The frequencies of having NAFLD varied across the different sitting hour categories. The participants who reported >10 hours of sitting per day had the highest frequency of having NAFLD (25.4%), whereas those who reported < 5 hours of sitting per day had the lowest frequency of having NAFLD (20.5%) among the study sample.

Based on the odds ratios calculated from the multiple logistic analysis, the relationship between NAFLD and sitting time was analyzed along with other covariates. The participants who reported < 5 sitting hours per day served as the reference group in this study and the relative risk for other ‘sitting time’ groups are expressed in Table 2. The odds for NAFLD in ‘5 – 7’, ‘8 – 10’, and ‘> 10 hours’ were 1.04 (CI: 0.85-1.28), 1.23(CI: 1.01-1.51), and 1.33(CI: 1.10-1.62), respectively. The odds ratio increase in magnitude with longer hours of sitting time was tested for statistical significance using the linear trend test (test for trend: P-value = 0.0009).

Odds ratio for NAFLD according to the participants’ sitting time was stratified by sex, physical activeness, and obesity status (Fig. 2). In this analysis, ‘< 5 hours’ group were again served as the reference group. In both sexes, those who reported > 10 hours of sitting per day had the relatively higher odds compared to those who reported shorter amount of sitting time (male 1.32, CI: 0.99-1.76; female 1.33, CI: 1.03-1.72). When participants were stratified by their physical activeness, the significant results were only observed in physically inactive group. Those who reported > 10 hours of sitting per day had the highest odds (1.84, CI: 1.42-2.38) within the physically inactive group and it was also the higher compared to their physically active courterparts. Moreover, the risk of having NAFLD was relatively high in those who reported 8-10 hours (1.28, CI: 1.02-1.59) and > 10 hours of sitting time (1.33, CI: 1.09-1.64) among the obese participants.

Main findings

Our overall findings were that there is an association of sitting time with NAFLD and the risk of having NAFLD increases in magnitude with longer hours of sitting.

What is already known?

Sedentary behavior, which is characterized by a lack of muscle movement, directly affects cardiometabolic function ⁶. The human body is designed to move, and previous studies reported that inactivity results in impaired lipid steatosis and insulin resistance ^19,20. This aligns with findings of our study which suggest that a higher rate of NAFLD was observed in sedentary participants. Prolonged sitting is correlated with higher BMI, body fat, and circulatory lipids, all of which are associated with liver lipid content ²¹. Cumulative fat in the mitochondria, one of the key regulators of liver pathophysiology, progresses to non-alcoholic steatohepatitis with inflammation ²². Mitochondrial dysfunction disrupts the encoding of cytochromes during carcinogenesis, and this leads to increased reactive oxygen species (ROS) production. Fat disposition in the liver may be because of ROS proliferation in Kupffer cells and hepatocytes ²³.

Previously, other studies resembling ours demonstrated a close relationship between sedentary lifestyle and NAFLD ^24-26. These studies suggested that prolonged sitting time and decreased physical activity level were positively associated with the prevalence of NAFLD, supporting the importance of reducing time spent sitting in addition to promoting physical activity. To date, lifestyle modification remains as one of the most important option in NAFLD management. The situation with respect to sedentary behavior, however, is remained widely unexplored.

What this study adds

Analysis of the results

In our study, the probability of having NAFLD was relatively high participants who were sedentary and physically inactive. Physical activity is the primary strategy for managing NAFLD. Gains in physical activity improves serum liver enzymes, reduces hepatic fatty infiltration, and reduces a degree of hepatic inflammation and fibrosis, all of which contribute to health benefits beyond the prevention of NAFLD ²⁷. The benefits of exercise and fitness have been supported by results of previous clinical trials. Normalized level of ALT and significant weight loss were observed in participants who increased their physical activity ^28,29. Regular physical activity is important because the frequency and intensity of physical activity are strong factors for predicting a person’s hepatic outcome.

Primarily, NAFLD is a consequence of insulin resistance, and thus occurs frequently among obese participants ³⁰. Our results showed that the risk of developing NAFLD is higher in obese participants who sat for more than 8 hours per day than those who sat less than 5 hours a day. Obesity is associated with increased visceral fat that releases free fatty acids into the hepatic portal circulation and the concentration of free fatty acids serves as the key mediator of insulin resistance ³¹. The absence of physical activity aggravates insulin sensitivity and glucose homeostasis. Sedentary behavior causes downregulation of insulin receptor in muscle tissue ^32,33. This means that prolonged sitting and physical inactivity impairs the delivery of insulin and glucose to the muscle and hence deteriorate the metabolism of free fatty acid ³⁴.

Limitations and strengths of this study

This study has several limitations. First, although HSI has been proven to have high sensitivity for detecting NAFLD (sensitivity of 93.1% and specificity of 92.4%) ¹⁷, there are still tiny odds of false-positive or false negative. Second, this is study was a cross-sectional study and was unable to provide a causal relation between sitting time and NAFLD. Third, the KNHANES uses self-report questionnaires, and thus the data extracted may have been subject to recall bias. The strength of the study is that the dataset generated from the KNHANES is nationally representative of the health status in South Korea. KNHANES questionnaires are updated annually to incorporate the changes in the real-life health circumstances of South Koreans. KNHANES has been extremely useful in health-related studies and provides meaningful insights for South Korean health policies.

We found that sitting time was associated with NAFLD among the South Korean population aged >20 years. The association was stronger for physically inactive participants. Further, there was also a positive association between NAFLD and obesity in conjunction with sedentary behavior. among female participants. Lifestyle modifications to engage in physical activity and reduce weight could contribute to managing and preventing NAFLD in the South Korean population. Advising exercise and discouraging sedentary activities may help to alleviate NAFLD in South Korea. Nonetheless, further studies are needed to validate the findings of our study and to examine a causal relationship between sitting time and the incidence of NAFLD.

Ethical approval and consent to participate: This study was an analysis of existing data; thus it did not require approval by ethics review board. The data that was used in this study is the KNHANES and it has been getting an annual review and approval by Korea Centers for Disease Control (KCDC) Research Ethics Review Committee since 2007.

Consent for publication: Not applicable.

Availability of data and material: The KNHANES was openly available in https://knhanes.cdc.go.kr/knhanes/index.do by submitting written oath and data utilization plan.

Competing interest: The authors declare that they have no competing interest.

Funding: This study was supported by a faculty research grand of Yonsei Univesity College of Medicine (6-2018-0174 and 6-2017-0157).

Author Contributions: JH.J., EC.P., and SI.J. designed the study, collected the data, performed the statistical analysis, and wrote the manuscript. H.K. contributed to the discussion and reviewed and edited the manuscript. SI.J. is the guarantor of this work and as such, had full access to all of the data. SI.J. assumes responsibility for the integrity of the data and the accuracy of the data analysis.

Acknowledgements: We thank the Korean Centers for Disease Control (KCDC) which produced and provided national level survey data. We also thank those colleagues of the Institute of Health Services Research in Yonsei University that have given advice for important intellectual content.

Authors’ information:

Jae Hong Joo^1,2; Eun-Cheol Park^2,3; Hwijun Kim^1,2; Doo Woong Lee^1,2; Dong-Woo Choi^1,2; Sung-In Jang^2,3

¹Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea

²Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea

³Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

*Corresponding author: Sung-In Jang, MD, PhD

Department of Preventive Medicine & Institute of Health Services Research, Yonsei University College of Medicine

50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea

Tel: +82-2-2228-1863; E-mail: [email protected]; Fax: +82-2-392-8133

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Table 1 General characteristics of the study population

Variables	Non-alcoholic fatty liver disease (NAFLD)
	TOTAL		Yes^a		No^b		P-value*
	N	%	N	%	N	%	P-value*
Total	13518	100.0	3140	23.2	10378	76.8
Sitting time (hr)							<.0001
< 5	2360	21.2	484	20.5	1876	79.5
5 - 7	3745	33.6	823	22.0	2922	78.0
8 - 10	2263	20.3	526	23.2	1737	76.8
> 10	5150	46.2	1307	25.4	3843	74.6
Sex							<.0001
Male	5715	51.2	1539	26.9	4176	73.1
Female	7803	69.9	1601	20.5	6202	79.5
Age							<.0001
20 - 29	1609	14.4	308	19.1	1301	80.9
30 - 39	2167	19.4	545	25.1	1622	74.9
40 - 49	2558	22.9	615	24.0	1943	76.0
50 - 59	2551	22.9	633	24.8	1918	75.2
60 - 69	2416	21.7	597	24.7	1819	75.3
≥ 70	2217	19.9	442	19.9	1775	80.1
Marital status							0.0443
Married and living together	9499	85.1	2177	22.9	7322	77.1
Living apart, divorced, or deceased	1781	16.0	455	25.5	1326	74.5
Unmarried	2238	20.1	508	22.7	1730	77.3
Educational attainment							<.0001
≤ Highschool	8350	74.8	2048	24.5	6302	75.5
≥ College	5168	46.3	1092	21.1	4076	78.9
Occupation^c							0.0099
White-color	3429	30.7	750	21.9	2679	78.1
Blue-color	3106	27.8	764	24.6	2342	75.4
Pink-color	1716	15.4	432	25.2	1284	74.8
Unemployed	5267	47.2	1194	22.7	4073	77.3
Household income							<.0001
Low	2472	22.2	612	24.8	1860	75.2
Mid-low	3290	29.5	803	24.4	2487	75.6
Mid-high	3739	33.5	896	24.0	2843	76.0
High	4017	36.0	829	20.6	3188	79.4
Sleeping time (hr)							<.0001
< 7	5010	44.9	1256	25.1	3754	74.9
≥ 7	8508	76.3	1884	22.1	6624	77.9
Energy intake (kcal)^d							0.9991
Quintile 1 (lower <20%)	2703	24.2	623	23.0	2080	77.0
Quintile 2	2704	24.2	627	23.2	2077	76.8
Quintile 3	2703	24.2	628	23.2	2075	76.8
Quintile 4	2705	24.2	631	23.3	2074	76.7
Quintile 5 (upper >80%)	2703	24.2	631	23.3	2072	76.7
Physical activeness							0.0017
Active	5913	53.0	1297	21.9	4616	78.1
Inactive	7605	68.2	1843	24.2	5762	75.8
Pack years of smoking							<.0001
≥ 5 packs	4884	43.8	1265	25.9	3619	74.1
< 5 packs	275	2.5	65	23.6	210	76.4
Never	8359	74.9	1810	21.7	6549	78.3
Current drinking status							0.0019
2 - 4 times / week	2973	26.6	647	21.8	2326	78.2
2 - 4 times / month	3047	27.3	665	21.8	2382	78.2
Never or occasionally	7498	67.2	1828	24.4	5670	75.6
Obesity status defined by BMI^e							<.0001
Obese (≥25 kg/m²)	6765	60.6	2963	43.8	3802	56.2
Normal or borderline (<25 kg/m²)	6753	60.5	177	2.6	6576	97.4
Hypertension							<.0001
Hypertension	4298	38.5	1454	33.8	2844	66.2
Prehypertension	3260	29.2	867	26.6	2393	73.4
Normal	5960	53.4	819	13.7	5141	86.3
Diabetes							<.0001
Diabetes	1673	15.0	843	50.4	830	49.6
Impaired fasting glucose	3253	29.2	982	30.2	2271	69.8
Normal	8592	77.0	1315	15.3	7277	84.7
Year							0.0293
2016	4347	39.0	1065	24.5	3282	75.5
2017	4511	40.4	998	22.1	3513	77.9
2018	4660	41.8	1077	23.1	3583	76.9
Hepatic steatosis index = 8 x (ALT/AST ratio) + BMI (+ 2, if female; + 2, if diabetes mellitus)) ^aHepatic steatosis index ≥ 36 ^bHepatic steatosis index < 36 ^cCategories based on International Standard Classification Occupations codes ^dTotal energy intake = (carbohydrate(g) x 4 kcal/g) + (protein(g) x 4 kcal/g) + (fat(g) x 9 kcal/g); ^eObesity status defined by BMI based on 2014 Clinical Practice Guidelines for Overweight and Obesity in Korea Measure for chi-squire differences between groups within each category (significant level: P-value* < 0.05)

Table 2 Odds ratio for NAFLD

Variables	Non-alcoholic fatty liver disease (NAFLD)
	Non-alcoholic fatty liver disease (NAFLD)
	OR^a	95% CI
Sitting time (hr)
< 5	1.00
5 - 7	1.04	(0.85	-	1.28)
8 - 10	1.23	(1.01	-	1.51)
> 10	1.33	(1.10	-	1.62)
Test for trend	P-value = 0.0009
Sex
Male	1.00
Female	0.91	(0.76	-	1.09)
Age
20 - 29	1.00
30 - 39	1.29	(0.96	-	1.74)
40 - 49	0.82	(0.60	-	1.13)
50 - 59	0.58	(0.42	-	0.81)
60 - 69	0.35	(0.25	-	0.50)
≥ 70	0.17	(0.12	-	0.25)
Marital status
Married and living together	1.00
Living apart, divorced, or deceased	1.09	(0.90	-	1.33)
Unmarried	1.25	(0.98	-	1.60)
Educational attainment
≤ Highschool	1.08	(0.93	-	1.27)
≥ College	1.00
Occupation^b
White-color	1.00
Blue-color	0.96	(0.80	-	1.16)
Pink-color	1.19	(0.95	-	1.50)
Unemployed	1.29	(1.08	-	1.55)
Household income
Low	1.08	(0.87	-	1.35)
Mid-low	1.07	(0.90	-	1.27)
Mid-high	1.18	(1.01	-	1.39)
High	1.00
Sleeping time (hr)
< 7	1.01	(0.89	-	1.14)
≥ 7	1.00
Energy intake^c
Quintile 1 (lower <20%)	0.91	(0.75	-	1.09)
Quintile 2	0.86	(0.70	-	1.05)
Quintile 3	1.00
Quintile 4	0.99	(0.83	-	1.19)
Quintile 5 (upper >80%)	1.05	(0.86	-	1.28)
Physical activeness
Active	1.00
Inactive	1.31	(1.16	-	1.48)
Pack years of smoking
≥ 5 packs	1.00	(0.84	-	1.18)
< 5 packs	0.93	(0.60	-	1.46)
Never	1.00
Current drinking status
2 - 4 times / week	0.50	(0.42	-	0.59)
2 - 4 times / month	0.75	(0.64	-	0.88)
Never or occasionally	1.00
Obesity status defined by BMI^d
Obese (≥25 kg/m²)	38.91	(31.59	-	47.92)
Normal or borderline (<25 kg/m²)	1.00
Hypertension
Hypertension	2.29	(1.92	-	2.72)
Prehypertension	1.85	(1.58	-	2.17)
Normal	1.00
Diabetes
Diabetes	7.19	(5.92	-	8.75)
Impaired fasting glucose	1.90	(1.65	-	2.18)
Normal	1.00
Year
2016	1.00
2017	0.37	(0.32	-	0.44)
2018	0.40	(0.35	-	0.47)
Hepatic steatosis index = 8 x (ALT/AST ratio) + BMI (+ 2, if female; + 2, if diabetes mellitus)) ^aHepatic steatosis index ≥ 36 ^bCategories based on International Standard Classification Occupations codes ^cTotal energy intake = (carbohydrate(g) x 4 kcal/g) + (protein(g) x 4 kcal/g) + (fat(g) x 9 kcal/g); ^dObesity status defined by BMI based on 2014 Clinical Practice Guidelines for Overweight and Obesity in Korea

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published 23 Sep, 2020

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Review #3 received at journal
25 Jul, 2020
Editorial decision: Major revision
25 Jul, 2020
Review #2 received at journal
18 Jul, 2020
Review #1 received at journal
17 Jul, 2020
Reviewer #3 agreed at journal
09 Jul, 2020
Reviewer #2 agreed at journal
08 Jul, 2020
Reviewers invited by journal
03 Jul, 2020
Reviewer #1 agreed at journal
03 Jul, 2020
First submitted to journal
30 Jun, 2020
Editor assigned by journal
30 Jun, 2020
Submission checks completed at journal
29 Jun, 2020
Editor invited by journal
29 Jun, 2020

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Association Between Sitting Time and Non-Alcoholic Fatty Liver Disease in South Korean Population: A Cross-Sectional Study

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