Journal List > J Korean Med Sci > v.28(9) > 1022062

Kim, Kim, An, Lee, Choi, Han, Chung, Lee, and Kim: Sleep Duration and Glycemic Control in Patients with Diabetes Mellitus: Korea National Health and Nutrition Examination Survey 2007-2010

Abstract

Short sleep duration has been reported to increase the risk of diabetes. However, the influence of sleep duration on glycemic control in diabetic patients has not been clarified. In this study we evaluated the association between sleep duration and glycemic control in diabetic patients. We analyzed the data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2007-2010. Sleep duration was classified into five groups: <6, 6, 7, 8, and ≥9 h/day. Fasting blood glucose and HbA1c showed a U-shaped trend according to sleep duration. Sleep duration of 7 h/day had the lowest HbA1c (7.26%) among the subjects (P=0.026). In the older age group (≥65 yr), a sleep duration of 6 h/day was associated with the lowest HbA1c (7.26%). The adjusted odds ratio (OR) with a 95% confidence interval (CI) of worse glycemic control (HbA1c ≥7.0%) in group of sleep duration of ≥9 h/day was 1.48 (1.04-2.13) compared with the group of 7 h/day. This relationship disappeared after adjusting duration of diabetes (OR, 1.38; 95% CI, 0.93-2.03). Our results suggest that sleep duration and glycemic control in diabetic patients has U-shaped relationship which was mainly affected by duration of diabetes.

INTRODUCTION

Diabetes mellitus (DM) has become a major health problem globally. According to the International Diabetes Federation, diabetes affected 366 million people worldwide in 2011 (1). In Korea, the prevalence of diabetes increased six to sevenfold over the past 40 yr (2, 3). Diabetes is a major risk factor for cardiovascular disease, which is the leading cause of death in people with diabetes (4). Glucose control is a key factor in preventing a cardiovascular event in diabetic patients.
Short sleep duration has recently been recognized as a potentially important factor contributing to the increasing prevalence of type 2 diabetes mellitus. Several cross-sectional studies have suggested an association between short sleep duration and diabetes and obesity (5-7). In prospective studies, short sleep duration was associated with an approximately 47%-57% increase in the risk of a diabetes diagnosis over a 10-yr period (8, 9).
However, few studies regarding the influence of sleep duration on glycemic control in diabetic patients are currently available (10, 11). Here we evaluated the association between self-reported sleep duration and glycemic control in Korean diabetic patients using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2007-2010.

MATERIALS AND METHODS

Study population

The study data consisted of the fourth and part of the fifth KNHANES 2007-2010. The KNHANES has been conducted by the Ministry of Health and Welfare of the Korean Government since 1998 to assess the general health and nutritional status of Koreans. The fourth KNHANES was conducted from 2007 to 2009 and the fifth from 2010 to 2012. A total of 33,829 individuals aged >1 yr responded to the health questionnaire. Of the 33,829 initial respondents, diabetic patients aged >20 yr were 2,174 (280 in 2007; 600 in 2008; 705 in 2009; and 589 in 2010). Finally, 2,134 diabetic patients who reported their sleep duration were included in the present study. A subject was considered as having diabetes mellitus if fasting blood glucose was ≥126 mg/dL or if the subject was taking oral hypoglycemic agents or insulin.

Sleep duration and insulin resistance

Sleep duration was obtained from the self-reported questionnaire from the question 'How much on average do you sleep each day?' We classified sleep duration into five groups: <6, 6, 7, 8, and ≥9 h/day. Insulin resistance was defined by the homeostasis model assessment for insulin resistance (HOMA-IR). HOMA-IR was calculated by dividing the product of fasting blood glucose (mg/dL) and fasting plasma insulin (mU/L) by 405 (12). HOMA-IR was obtained from the patients who never used insulin.

Other variables

The following covariates were obtained using a standardized questionnaire in the KNHANES: age, educational level, marital status, residential area, household income, alcohol intake, smoking status, physical activity level, and hypertension. We divided educational level into three groups: ≤6 yr, 7-12 yr, and >12 yr of education. Marital status was divided into three groups: single, married and living together, or divorced or separated. Residential area was divided into rural areas and small, medium, or large cities. Average monthly household income was divided into four groups: ≤1,000, 2,000, and ≥3,001 (thousand KRW). Current alcohol consumption, current smoking, and regular physical activity were divided as yes or no. Hypertension was defined as systolic ≥140 mmHg or diastolic blood pressure ≥90 mmHg, or the use of anti-hypertensive medications. Treatment status was divided into three groups: insulin with or without oral hypoglycemic agents (OHA), OHA only or no medication. Durations of DM were obtained through patients' age minus the age of diagnosed with DM. Daily calorie intake were calculated from daily intake of respective food group obtained by nutritional questionnaire.

Statistical analysis

Among the five sleep duration groups, continuous variables were compared using ANOVA and categorical variables were compared by the chi-squared-test. Because the American Diabetes Association (ADA) recommends a HbA1c <7% (<53 mM/M) as a good glycemic control goal we defined worse glycemic control as a HbA1c ≥7%. Multivariable logistic regression was used to calculate the odds ratio (OR) with a 95% confidence interval (CI) of worse glycemic control across the sleep duration groups. Subjects sleeping 7 h/day were used as reference. The analysis was adjusted for potential confounders in the following steps: 1) study year, age, and sex; 2) education level, marital status, residential area, and monthly household income, in addition to the variables in step 1; 3) current alcohol consumption, current smoking, and regular physical activity and hypertension in addition to the variables in step 2; 4) waist circumference (WC) and body mass index (BMI) in addition to all the variables in step 3; and 5) treatment status, duration of DM and daily calorie intake in addition to all the variables in step 4. We compared HOMA-IR of the patients sleeping 7 h/day with those sleeping the shortest (<6 h/day) and longest (≥9 h/day) amount of time using Student's t-test. All analyses were performed with the SPSS version 20 (SPSS, Chicago, IL, USA). A P value<0.05 was considered to indicate statistical significance.

Ethics statement

KNHANES was approved by institutional review board of Korea Centers for Disease Control and Prevention (Approval Number: 2007-02-CON-04-P, 2008-04EXP-01-C, 2009-01CON-03-2C, 2010-02CON-21-C). Informed consent was waived by the board.

RESULTS

Baseline characteristics

Of the total of 2,134 diabetic patients (mean age 61.7±12.3 yr), 1,065 were male and 1,069 were female. The mean sleep duration was 6.81±1.3 h/day. Shortest or longest sleep duration groups are more likely to be lower socioeconomic status and treated with insulin. Education, marital status, household income and durations of DM also showed a U-shaped trend according to sleep duration. Baseline characteristics are summarized in Table 1.

Glycemic levels according to sleep duration

Fig. 1 shows glycemic level according to sleep duration by sex and age. Fasting blood glucose levels did not show a U-shaped trend according to sleep duration. Glucose levels in subjects younger than 65 yr (Fig. 1B) were U-shaped. HbA1c levels were U-shaped, with subjects sleeping 7 h/day having the lowest HbA1c (7.26%) levels (P=0.026). A shorter or longer than 7 h/day sleep duration was associated with higher mean HbA1c levels. The U-shaped trend was stronger in females (Fig. 1C) and in the younger age group (<65 yr) (Fig. 1D). In males, the shortest sleep duration group (<6 h/day) had the lowest HbA1c level (7.2%) (Fig. 1C). In the older age group (≥65 yr), the lowest HbA1c level (7.08%) was in the 6 h/day sleep duration group (Fig. 1D), which was not statistically significant (P=0.097).

Association between sleep duration and high HbA1c levels

In total subjects, after adjusting for study year, age, sex (step 1), socioeconomic status (step 2), lifestyle factors and hypertension (step 3), a shorter sleep duration increased the risk of worse glycemic control (OR, 1.23; 95% CI, 0.93-1.62) compared with a 7 h/day sleep duration, but not statistically significant. However, a longer sleep duration significantly increased the risk of worse glycemic control (OR, 1.47; 95% CI, 1.03-2.10). On the other hand, in females and younger age group, the association between sleep duration and worse glycemic control was strongest for the shortest sleep duration (OR, 1.53; 95% CI, 1.05-2.25; OR, 1.54; 95% CI, 1.04-2.27, respectively). After further adjusted BMI and WC (step 4) the association for the shortest sleep duration attenuated (OR, 1.47; 95% CI, 1.00-2.17; OR, 1.47; 95% CI, 0.99-2.12, respectively). The association between sleep duration and worse glycemic control disappeared after adjusting treatment status, duration of diabetes, and daily calorie intake. In the regression model step 5, duration of DM was only significant factor in total subjects, female and younger age group (OR, 1.06; 95% CI, 1.04-1.08; OR, 1.08; 95% CI, 1.05-1.11; OR, 1.11; 95% CI,1.08-1.15, respectively) (Table 2).

Insulin resistance according to sleep duration

HOMA-IR levels according to sleep duration are shown in Fig. 2. These also exhibited a U-shaped trend. HOMA-IR levels in the longest sleep duration group were significantly higher than in the 7 h/day sleep duration group (P<0.05).

DISCUSSION

The present study is the first to report that sleep duration is associated with glycemic control. The association between sleep duration and glycemic control status showed a U-shaped trend. This trend was stronger in females and subjects younger than 65 yr. A U-shaped association has been reported between sleep duration and hyperglycemia in obese adolescents (13) and Japanese diabetic patients (10). In addition, U-shaped relationships between sleep duration and metabolic syndrome (14), diabetes (15, 16) and even mortality have been reported (17).
The U-shaped relationship between sleep duration and glycemic control may be explained by insulin resistance. Sleep duration also had a U-shaped relationship with HOMA-IR levels. Javaheri et al. (18) reported adolescents with shorter and longer sleep durations had HOMA-IR levels that were on average 20% higher than in adolescents with average sleep duration.
In this study, after adjusting for waist circumference, the relationship with shorter sleep duration was attenuated, however, the association with longer sleep duration was unchanged. Therefore, the association between shorter sleep duration and HOMA-IR levels was mediated primarily through the association between shorter sleep duration and central obesity. Conversely, the association between longer sleep duration and HOMA-IR levels seemed to be through pathways independent of obesity. Interestingly, after adjusting duration of DM, the relationship between sleep duration and worse glycemic control disappeared. The long duration of DM could be more likely to have comorbidities and these comorbidities may be a cause of shorter or longer sleep and also worse glycemic control (19, 20). When we selected subgroup of DM duration less than 5 yr, which might have no diabetic complications such as neuropathy, there was no association between sleep duration and glycemic control. Therefore, we can suggest that patients with painful diabetic neuropathy have anxiety, depression, and sleep disturbance and these comorbidities cause worse glycemic control (21).
Short sleep duration has been suggested to be associated with metabolic syndrome and obesity. Sleep deprivation has been shown to alter the neuroendocrine control of appetite, and reduce leptin and increase ghrelin levels (22). These hormonal changes could lead to weight gain and secondary insulin resistance. Short sleep duration was also shown to increase counter-regulatory hormones such as cortisol and sympathetic nervous system activity, both of which can contribute to insulin resistance (23).
The mechanism underlying the association between long sleep duration and insulin resistance remains unclear. Long sleep duration has been hypothesized to indicate various unmeasured health and psychiatric problems (24). Long sleep duration is reportedly associated with a low level of physical activity and low socioeconomic status (25, 26). In the present study, a greater proportion of patients with long sleep duration (>9 h/day) had a stroke (11.0%) than patients with short sleep duration (7 h: 5.2%, <6 h: 6.2%, respectively). Another possible mechanism of the association between long sleep duration and insulin resistance is alteration of levels of proinflammatory cytokines such as C-reactive protein (CRP) and interleukin-6 (IL-6) by habitual long sleep duration, which could affect glucose metabolism (27). Alternatively, longer sleep duration influenced cerebral and systemic glucose use (28) and the effects of counter-regulatory hormones released during sleep (29).
Our data indicate that the U-shaped trend between sleep duration and glycemic level is stronger in females and younger subjects. Males with sleep duration longer than 7 h/day had higher HbA1c levels, and subjects with sleep duration shorter than 7 h/day had lower HbA1c levels. In males, sleep duration and insulin resistance could be affected by occupational physical activity. A previous study of the interaction between physical activity and sleep duration supports this hypothesis. The combination of low physical activity and short sleep duration had a more than twofold higher OR for insulin resistance, compared to the combination of high physical activity and short sleep duration. Subjects with high physical activity and short sleep duration had lower insulin resistance than subjects with low physical activity and appropriate sleep duration. Moreover, that study used occupational physical activity rather than exercise-related physical activity (30). In our study, more patients with a short sleep duration had simple labor occupations (11.2%) than those patients with a 7 h/day sleep duration (8.0%) and with a long sleep duration (≥9 h: 8.7%).
The present study has several limitations. It was a cross-sectional design; therefore, causality could not be identified, and the cumulative effect of or temporal change in sleep duration could not be evaluated. Sleep duration was self-reported, thus recall bias may exist.
In conclusion, our data suggest that shorter and longer sleep durations are associated with worse glycemic control and associated with central obesity and insulin resistance in Korean adults with diabetes. The U-shaped trend was stronger in females and subjects less than 65 yr of age. These trends are mainly associated with duration of DM. Therefore, the association between sleep duration and glycemic control might be explained by insulin resistance and duration of DM.

Figures and Tables

Fig. 1
Glycemic levels according to sleep duration by sex and age. (A) Fasting blood glucose levels according to sleep duration by sex. (B) Fasting blood glucose levels according to sleep duration by age. (C) HbA1c levels according to sleep duration by sex. (D) HbA1c levels according to sleep duration by age.
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Fig. 2
Insulin resistance levels according to sleep duration.
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Table 1
Characteristics of 2,134 Korean adults with diabetes according to self-reported sleep duration
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0.484FBG, fasting blood glucose; BMI, body mass index; KRW, Korean won; OHA, oral hypoglycemic agents; DM, diabetes mellitus; HOMA-IR, homeostasis model assessment for insulin resistance.

Table 2
Association between sleep duration and high HbA1c levels in 2,134 Korean adults with diabetes
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*P value<0.05. Step 1: adjustment for study year, age, and sex. Step 2: adjustment for education, marital status, residential area, and household income, plus all variables in step 1. Step 3: adjustment for current alcohol use, current smoking, regular physical activity, and hypertension plus all variables in step 2. Step 4: adjustment for BMI and WC plus all variables in step 3. Step 5: adjustment for treatment status, duration of DM and daily calorie intake plus all variables in step 4. CI, confidence interval; OR, odds ratio.

Notes

This study was supported by a grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, Republic of Korea (A102065-1011-1070100).

All authors declare no relationship that may pose conflicts of interest.

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Dae Jung Kim
https://orcid.org/http://orcid.org/0000-0003-1025-2044

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