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Osong Public Health Res Perspect > 9(4); 2018 > Article

Kim: Effects of Physical Activity on Depression in Adults with Diabetes


ObjectivesThe purpose of this study was to identify the current state of physical activity in adults with diabetes and to investigate the effect of physical activity on depression.

MethodsThe present study was conducted using data from the 2nd year of the 6th Korea National Health and Nutritional Examination Survey. From the total of 7,550 individuals, 418 adults diagnosed with diabetes were selected as participants, and their physical activity and depression levels were examined.

ResultsThe physical activity status of the participants showed that they did not usually engage in physical activities at work, and only a few participants were involved in moderate intensity physical leisure activity. Apart from walking for 10 minutes each day, which accounted for 1/3 of the participants, most of the participants did not engage in specific forms of exercise. An examination of the effects of physical activity on depression revealed that moderate intensity physical activity at work and leisure influenced depression. In terms of demographic characteristics, gender, occupation, income quintile, and subjective health status were all found to affect depression.

ConclusionFor elderly (60 years or older) patients with diabetes, which accounted for the majority of the diabetic population, a systematic leisure program and professional education are necessary to help them to manage stress and depression in daily life. Additionally, provision of community and family support should encourage regular, moderate intensity exercise and promote lifestyle changes to encourage increased physical activity.

Keywords: depression; diabetes mellitus; patients; physical activity

IntroductionDiabetes mellitus is a rapidly growing chronic metabolic disease worldwide. In 2010, 1 in 10 adults in Korea was diagnosed with diabetes mellitus, and this number is estimated to increase to 6 million by 2050 [1]. According to the Korea Institute for Health and Social Affairs statistics, the domestic mortality rate due to diabetes was 32.3 per 100,000 population in 2012, which is higher than the average mortality rate of all the countries belonging to the Organisation for Economic Co-operation and Development which was 22.8 per 100,000 population [2].The cost of medical treatment for patients with diabetes in Korea accounts for 20% of the total medical expenses of the national health insurance scheme, and the average medical cost per patient with diabetes is about 3 times higher than that for patients without diabetes [3]. As a result, the national cost of health insurance expenditure is also increasing. Therefore, efforts should be made to promote and maintain the health of diabetic patients to reduce the cost of medical care and reduce the mortality rate of patients with diabetes.In previous studies on the healthcare of patients with diabetes, the psychological state of the patient was identified as 1 of the factors having a negative effect on treatment, of which, depression was the main factor [4]. Diabetes and depression are known to be closely related, and patients with diabetes have twice the prevalence of depression than those who do not have diabetes [5]. Depression is a condition that ranges from mild depressive to abnormal [6]. As individuals with depression have a negative self-image and experience negative thoughts about their future [7], increased levels of depression often lead to sleep deprivation, tiredness, inadequacy, decreased self-esteem, decreased attention, anxiety, death, or suicide due to repeated suicidal ideations [6]. In particular, as depression in chronic illnesses such as diabetes aggravates health problems and is a major risk factor linked to suicide [8], patients with diabetes require active intervention for depression.Regular exercise is known to have various effects such as the prevention of chronic diseases, reduction in the likelihood of depression, improvement of physical strength, and alleviation of mental stress [9]. Regular physical activity helps to regulate normal glucose uptake into peripheral tissues, and increases insulin receptors and insulin sensitivity, thus contributing to blood glucose control [10].In contrast, the lack of physical activity is likely to lead to obesity. The incidence of obesity is reported to be higher in Korea as compared to the World Health Organization’s average of 35.2% for males and 28.3% for females worldwide. In addition, more than 80% of these patients have diabetes mellitus and the greater the degree of obesity, the greater the risk of diabetes [11]. Therefore, for the healthcare of adults with diabetes in Korea, it is critical to understand the state of physical activity and to examine the effect of physical activity on depression, which could reduce patients’ motivation for treatment.To this end, the purpose of this study was to investigate the current status of physical activity and its effect on depression in adults with diabetes using data from the 2nd year of the nationally representative 6th Korea National Health and Nutritional Examination Survey (KNHANES). We aimed to provide a guide for future health management of diabetes in adults.

Materials and Methods

1. ParticipantsThis study used data from the 2nd year of the 6th KNHANES. These data were reviewed and approved by the Research Ethics Review Committee of the Disease Control Division. To ensure that the data were representative of the entire population of Korea, a weighted sample was drawn from each region. In this study, amongst the 7,550 individuals who participated in the 6th KNHANES, 418 participants aged 19 years or older, and diagnosed with diabetes were selected.

2. Measurements

2.1. Depression

In the present study, depression was assessed using the scores on the Patient Health Questionnaire 9 (PHQ-9). This 9-item tool is a self-report test that measures the severity of depression. The scores on each item are summed, and a total score of 0 to 4 points is classified as “normal,” 5 to 9 points as “mild depression,” and 10 points as “mild to moderate” depression.The PHQ-9 questionnaire consists of questions related to depression such as “no interest or fun in working,” “difficult to sleep or waking up frequently, or sleeping too much,” “fatigue and decline of energy,” “nervous or anxious” and “desire to die.” Cronbach α showed that this questionnaire was highly reliable (0.89) [12].

2.2. Physical activity

Data on participation in various physical activities during a typical week and the amount of time spent on each physical activity was analysed. The data included the number of activity days per week and the presence of high- and moderate-intensity physical activity at work, travelling from 1 place to another, during leisure, during walking, and whilst muscle training.“High-intensity activity” refers to activities in which a person breathes heavily or has a very rapid heartbeat due to intense physical activity. “Moderate-intensity activity” refers to activities in which a person is slightly out of breath or has a slightly faster heartbeat due to moderate physical activity.The questionnaire assigned physical activities such as lifting or moving heavy objects (over 20 kg), digging, labor at construction sites and carrying objects up the stairs as “high intensity activity.” Whereas, walking fast, carrying light objects, cleaning and child care (giving a bath, holding a baby) were assigned to the “medium intensity activity” category.

3. Statistical analysisThe collected data were analysed using the SPSS 21.0 program. The socio-demographic characteristics and physical activity status of adults with diabetes were analysed using descriptive statistics. The effects of physical activity on depression and the general characteristics of depression were analysed using multiple regression analysis. Statistical significance was set at p < 0.05.


1. Participant demographics and characteristicsThe general demographics of the participants showed no significant differences in gender, with 49.3% males and 50.7% females. The most common age group was those aged over 70 years (39.5%), followed by those aged 60 years to 69 years (35.6%) and those aged 50 years to 59 years (17.5%). In terms of educational level, elementary school graduate or below accounted for the highest proportion of participants (48.3%). Based on employment, those individuals not in paid employment (including housewives) accounted for the highest proportion of participants (60.3%). The employed participants were simple manual labourers (10.5%), functional and machine operators (8.1%), and service and sales workers (7.4%). More than half the participants fell in the middle-level or below average income category, with 36.1% in the low-income group and 30.6% in the medium-low income group. Living with a spouse was the most common marital status (70.8%). The subjective health status provided by the participants showed that 85.2% of the population reported feeling either normal (43.3%), bad (27.3%), or very bad (14.6%) (Table 1).

2. Physical activity status of adults with diabetesIn working adults with diabetes who typically exercised for 3 or 4 days per week at work, only 3 (0.7%) participants engaged in high-intensity physical activities, whilst 32 (7.7%) engaged in moderate-intensity physical activity. The majority of the participants reported that they walked for more than 10 minutes when travelling from 1 place to another (52.2%), and most of them engaged in this activity every day. High-intensity activity associated with leisure accounted for 27 (6.5%) participants, whilst 74 (17.7%) participants engaged in moderate-intensity activity. Furthermore, 127 (30.3%) participants typically walked for more than 10 minutes every day during the week, but 109 (26.1%) participants did not walk at all. Most participants (80.4%) did not engage in any muscle training exercise during the week (Table 2).

3. Effects of physical activity and socio-demographic characteristics on depressionMultiple regression analysis was performed on demographic characteristics to investigate their effect on depression.Analysis of physical activity showed that the presence of work-related moderate-intensity physical activity (β = 0.004, p < 0.01), number of work-related moderate-intensity physical activity days (β = −0.216, p < 0.001), and number of leisure-related moderate-intensity physical activity days (β = 0.103, p < 0.05) were all found to affect depression.Among the socio-demographic characteristics examined in the present study, gender (β = 0.154, p < 0.01), occupation (β = 0.128, p < 0.05), income quintile (β = −0.159, p < 0.01), and subjective health status (β = 0.387, p < 0.001) were all found to affect depression (Table 3).

DiscussionThe present study analysed the effects of physical activity on depression in adults with diabetes using data from the 2nd year of the 6th KNHANES (2014). The sample comprised of a similar number of male and female participants. Compared with the percentage of patients with diabetes 10 years ago (12.6% for men and 7.9% for women), the present study suggests that the percentage of women with diabetes (50.7%) is now equivalent to men (49.3%). The incidence of diabetes was most prevalent amongst those aged 70 years and above, which suggests that the risk for diabetes increases with old age.Regarding education level, elementary school graduate or lower, accounted for the highest proportion of participants in this study, whilst the unemployed and simple manual labourers accounted for the highest proportion of participants. In terms of income quintiles, “below average” was the most common. A meta-analysis revealed that diabetes was more prevalent amongst participants with lower social class occupations, and this trend was observed in both high-income and low-income countries [13]. More patients with diabetes were simple manual labourers, functional workers, and machine operators as compared to office workers or specialists, which contradicts results obtained from previous studies which reported that the prevalence of diabetes is higher amongst office workers and specialists [14]. Studies have shown that the risk of diabetes is higher among office workers because white-collar workers engage in less physical activity during work than production workers [10]. However, the results of the present study suggest that the risk of diabetes may be affected by lifestyle outside of work.Furthermore, the current findings revealed that the participants did not engage in high-intensity physical activity at work, and less than 10% of them engaged in moderate-intensity physical activity. However, 1/3 of the participants walked for more than 10 minutes each day, indicating that the participants walked when they needed to travel from one place to another, rather than engaging in any particular form of physical activity however, 1/3 responded that they did not walk, even to travel. More than 80% of the participants did not engage in muscle training exercise, indicating that most diabetics do not actively engage in physical activity. A study by Park and Kim [15] revealed that the reason for the low level of physical activity of middle-aged Korean adults is that they tend to sit for long periods of time even when they are at work, and their leisure activities mainly involve sedentary activities such as watching TV or sleeping. Accordingly, Cho et al [16] reported the urgent need to develop a program to increase the physical activity level of adults in Korea.In this study the effects of physical activity on depression were examined and the presence of work-related moderate-intensity physical activity, the number of work-related activity days, and the number of leisure-related moderate-intensity physical activity days influenced the levels of depression experienced by participants. Simple walking to travel to a destination did not affect depression in this study. The results of previous studies on patients with diabetes and their physical activity showed that high-intensity physical activity and insulin resistance are not related to each other. However, moderate-intensity physical activity and exercise are known to improve metabolism, including blood sugar metabolism [17,18]. In fact, the World Health Organization recommends engaging in regular moderate-intensity exercise for at least 5 days a week, for at least 30 minutes a day [19]. Excessive, tough, high-intensity physical activity can lead to fatigue and it can increase depression. Furthermore, it is believed that moderate-intensity physical activity, which is suitable for the improvement of health conditions, may help relieve stress and depression. It would be beneficial for health professionals such as occupational therapists and exercise instructors, to develop exercise programs of appropriate intensity, duration and frequency for patients with diabetes that is age appropriate, and to implement such programs in community health centres and welfare centres.Furthermore, in the present study an examination of the effect of demographic characteristics on depression revealed that gender, occupation, income quintile, and subjective health status affect depression, while marital status does not. However, in a study by Lee et al [20] that examined patients with diabetes mellitus, women were found to be more likely to be depressed than men, and unemployed adults with diabetes were found to be twice more likely to experience depression than their employed counterparts [14]. Results of studies conducted in the early and mid-2000s, showed that unmarried individuals with diabetes were more depressed than married individuals with diabetes [21,22]. These results contradict the results in this study. Further studies are needed to confirm the relationship between marital status and depression in adults with diabetes.Pompili et al [23] suggested that the subjective assessment of health status is related to depression in patients with diabetes, and that the likelihood of depression is 3.2 times higher when the subjective health status is worse, corroborating the results of the present study.In conclusion, elderly individuals aged 60 years or older with diabetes, need systematic active leisure programs and professional education to manage stress and depression in daily life. Support in the community and encouragement by family members could result in meaningful exercise programs to encourage moderate-intensity exercise and to bring about lifestyle changes that promote healthy activity.In many diabetes studies, elderly patients have been shown to benefit from muscular endurance exercises [24,25]. Endurance exercises reduce age-related problems by increasing muscle mass and allowing increased bone density, reducing the effects of osteoporosis. Walking regularly for 30 minutes every day improves muscular endurance, and also enhances concentration. Dance programs for the elderly have similar physical and psychological effects enabling moderate joint movement as well as being a popular social activity [26].The limitation of this study is that the data was collected in 2014 and may not reflect the current national demographics. Furthermore, this study could not identify various types of physical activity because the 6th KNHANES did not include this information. However, since the current state of physical activity of patients with diabetes and its effects on depression were examined, the results of this study could be of great value for the development of national and community level strategies for the care of patients with diabetes.

AcknowledgementsThe author appreciates the Korea Centers for Disease Control and Prevention for helping them to conduct the study using the National Health and Nutrition Examination Survey.

Conflicts of Interest

Conflicts of Interest
The author has no conflicts of interest to declare.

1. Korean Diabetes Association [Internet]. Diabetes Fact Sheet in Korea 2013. Available from: http://www.diabetes.or.kr/temp/diabetes_factsheet_2013111.pdf.

2. Jang YS, Ham SY. Comparison of cause-specific death rate among the OECD countries. Issue Focus 2014;257:1–8.

3. Park IB, Baik SH. Epidemiologic characteristics of diabetes mellitus in Korea: Current status of diabetic patients using Korean health insurance database. Kor Diabetes J 2009;33(5):357–62.
4. Egede LE, Ellis C. Diabetes and depression: Global perspectives. Diabetes Res Clin Pract 2010;87(3):302–12.
[Crossref] [PubMed]
5. Rush WA, Whitebird RR, Rush MR, et al. Depression in patients with diabetes: Does it impact clinical goal? J Am Board Fam Med 2008;21(5):392–7.
[Crossref] [PubMed]
6. Lee MY. The effects of the elderly’s stress on suicidal ideation: Focusing on depression as a mediator, and social support and stress coping strategy as moderators Cheongju University; 2009.

7. Beck AT, Kovacs M, Wessman A. Assessment of suicidal intention; The scale for ideation. J Consult Clinic Psych 1979;47(2):343–52.
[Crossref] [PDF]
8. Shah AK, De T. Suicide and the elderly. Int J Psychiatry Clin Pract 1998;2(1):3–18.
[Crossref] [PubMed]
9. Lee YM, Park HS. A Study on the stage of change in exercise behaviors, exercise self-efficacy, depression and stress in middle aged women. Korean J Women Health Nurs 2004;10(3):218–25.

10. Camacho RC, Galassetti SN, Davis SN, et al. Glucoregulation during and after exercise in health and insulin dependent diabetes. Exerc Sport Sci Rev 2005;33(1):17–23.
11. Kim WJ, Lee CB. New drugs for obesity treatment. Korean J Med 2016;90(2):121–6.
[Crossref] [PDF]
12. Park SJ, Choi HR, Choi JH, et al. Reliability and validity of the Korean version of the patient health questionnaire-9 (PHQ-9). Anxiety Mood 2010;6(2):119–24.

13. Agardh E, Allebeck P, Hallqvist , et al. Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis. Int J Epidemiol 2011;40(3):804–18.
[Crossref] [PubMed] [PDF]
14. Jung JH, Jeon YJ, Kim BI, et al. Prevalence of diabetes according to occupation among workers in the Ulsan area. Korean J Fam Pract 2016;6(4):293–9.
15. Park JY, Kim NY. The relationship between physical activity and insulin resistance in the middle-aged adults. J Korean Biol Nurs Sci 2011;13(3):245–52.

16. Cho SH, Ham SG, Seo UN, et al. The association of non-alcoholic fatty liver discasc and physical activity. J Korean Acad Fam Med 2008;29:513–9.

17. Ekelund U, Brage S, Griffin SJ, et al. Objectively measured moderate and vigorous-intensity physical activity but not sedentary tine predicts insulin resistance in high-risk individuals. Diabetes Care 2009;32(6):1081–6.
[Crossref] [PubMed] [PMC]
18. Lee S, Kuk J, David LE, et al. Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without type2 diabetes. J Appl Physiol 2005;99(3):1220–5.
[Crossref] [PubMed]
19. World Health Organization [Internet]. Physical inactivity: A global public health problem [cited 2011 Mar 21]. Available from: http://www.who.int/dietphysicalactivity/factsheet_inactivity/en/.

20. Lee MK, Lee JK, Yoo JH, et al. The effects of depressive symptoms to metabolic and glycemic control among type 2 diabetes patients. J Korean Acad Fam Med 2005;26(12):13–20.

21. Egede LE, Zheng D, Simpson K. Comorbid depression is associated with increased health care use and expenditures in individuals with diabetes. Diabetes Care 2002;25(3):464–70.
[Crossref] [PubMed]
22. Hermanns N, Kulzer B, Krichbaum M, et al. Affective and anxiety disorders in a german sample of diabetic patients: Prevalence, comorbidity and risk factors. Diabet Med 2005;22(3):293–300.
[Crossref] [PubMed]
23. Prompili M, Lester D, Innamorati M, et al. Quality of life and suicide risk in patients with diabetes mellitus. Psychosomatics 2009;50(1):16–23.
[Crossref] [PubMed]
24. Lee JJ, Bae JJ. Effects of long-term exercise training intervention on health fitness, blood pressure and blood glucose in elderly people. Kinesiology 2010;12(2):55–65.

25. Kim CW, Lee HW. Effects of an 8weeks walking exercise on blood lipid and HbA1c in obese old women. J Korean Sport Assoc 2017;15(2):609–16.

26. Kim EH, Jung JO. The relationships among self-esteem, age-identify, and psychological happiness in rhythm exercise welfare program of elders. J Korean Soc Rhythm Exer 2013;6(1):1–12.

Table 1
General characteristics of participants (n = 418).
Characteristics Categories n %
Gender Male 206 49.3
Female 212 50.7

Age (y) 19 – 29 1 0.2
30 – 39 8 1.9
40 – 49 22 5.3
50 – 59 73 17.5
60 – 69 149 35.6
70 or older 165 39.5

Education level Primary school diploma or lower 202 48.3
Middle school diploma 55 13.2
High school diploma 105 25.1
Bachelor’s degree or lower 51 12.2
Not answered 5 1.2

Occupation Manager and specialist 23 5.5
Office worker 7 1.7
Service and sales worker 31 7.4
Agriculture and fishery worker 22 5.3
Functional worker and machine operator 34 8.1
Simple labour 44 10.5
Unemployed including housewife) 252 60.3
Not answered 5 1.2

Income quartile (household) Low 151 36.1
Medium low 128 30.6
Medium high 70 16.7
High 66 15.9
Not answered 3 0.7

Marital status I have a spouse and live together. 296 70.8
I have a spouse but I live separately. 3 0.7
Bereaved 79 18.9
Divorced 25 6.0
Not answered 15 3.6

Subjective health status Very good 15 3.6
Good 47 11.2
Normal 181 43.3
Bad 114 27.3
Very bad 61 14.6
Table 2
Overview of physical activity in the adults with diabetes (n = 418).
Characteristics Categories n %
Work: High-intensity physical activity Yes 3 0.7
No 415 99.3

Work: Number of days of engaging in high-intensity physical activity (n = 3) 1 to 2 d 0 0.0
3 to 4 d 3 100.0
5 to 6 d 0 0.0
7 d 0 0.0

Work: Moderate-intensity physical activity Yes 32 7.7
No 386 92.3

Work: Number of days of engaging in moderate-intensity physical activity (n = 32) 1 to 2 d 10 31.3
3 to 4 d 12 37.5
5 to 6 d 5 15.6
7 d 5 15.6

Travelling: Physical activity Yes 218 52.2
No 197 47.1

Travelling: Number of activity days (n = 218) 1 to 2 d 39 17.8
3 to 4 d 60 27.5
5 to 6 d 47 21.5
7 d 72 33.2

Leisure: High-intensity physical activity Yes 27 6.5
No 388 92.8

Leisure: Number of days of engaging in high-intensity physical activity (n = 27) 1 to 2 d 7 25.9
3 to 4 d 8 29.7
5 to 6 d 6 22.2
7 d 6 22.2

Leisure: Moderate-intensity physical activity Yes 74 17.7
No 341 81.6

Leisure: Number of days of engaging in moderate-intensity physical activity (n = 74) 1 to 2 d 16 21.6
3 to 4 d 23 31.1
5 to 6 d 17 22.9
7 d 18 24.4

Number of days of walking per week I do not walk at all 109 26.1
1 to 2 d 51 12.2
3 to 4 d 64 15.3
5 to 6 d 67 16.1
7 d 127 30.3

Number of days of engaging in muscle training exercise per week I do not engage in muscle training at all 336 80.4
1 to 2 d 20 4.8
3 to 4 d 19 4.6
5 to 6 d 43 10.2
7 d 0 0.0
Table 3
Effects of physical activity and socio-demographic characteristics on depression.
Categories Depression
Unstandardized Coefficients Standardized Coefficients p
β SE β
Physical Activity Work: High-intensity physical activity −0.967 0.635 −0.076 0.128
Work: Number of days of engaging in high-intensity physical activity −4.544 1.310 −0.171 0.001 **
Work: Moderate-intensity physical activity −1.462 0.510 −0.142 0.004**
Work: Number of days of engaging in moderate-intensity physical activity −1.708 0.387 −0.216 < 0.001 ***
Travelling: Physical activity 0.094 0.459 0.010 0.838
Travelling: Number of days of engaging in physical activity 0.012 0.220 0.003 0.955
Leisure: High-intensity physical activity 0.462 0.476 0.048 0.332
Leisure: Number of days of engaging in high-intensity physical activity 0.993 0.929 0.053 0.286
Leisure: Moderate-intensity physical activity 0.756 0.589 0.065 0.195
Leisure: Number of days of engaging in moderate-intensity physical activity 0.633 0.306 0.103 0.039*
Number of days of walking per week −0.041 0.032 −0.065 0.197
Number days of engaging in muscle training exercise per week −0.128 0.138 −0.046 0.357
Socio-demographic Characteristics Gender 1.413 0.452 0.154 0.002**
Age −0.156 0.228 −0.034 0.494
Marital status 0.003 0.014 0.012 0.812
Education level −0.359 0.205 −0.807 0.080
Occupation 0.324 0.126 0.128 0.010*
Income quartile −0.677 0.211 −0.159 0.001**
Subjective health status 1.822 0.217 0.387 < 0.001 ***
Dependent variables: Depression.
* R2 = 0.127,
** Adjusted R2 = 0.086,
*** F (p) = 3.075(< 0.001).
SE = standard error.