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Diabetologia

, Volume 61, Issue 9, pp 1978–1984 | Cite as

Association between diabetes distress and all-cause mortality in Japanese individuals with type 2 diabetes: a prospective cohort study (Diabetes Distress and Care Registry in Tenri [DDCRT 18])

  • Yasuaki Hayashino
  • Shintaro Okamura
  • Satoru Tsujii
  • Hitoshi Ishii
  • for the Diabetes Distress and Care Registry at Tenri Study Group
Article

Abstract

Aims/hypothesis

The absence of data on the direct association between diabetes-specific distress and all-cause mortality in individuals with diabetes prompted us to examine the temporal association between Problem Areas in Diabetes (PAID) survey scores and the subsequent risk of all-cause mortality in a cohort of individuals with type 2 diabetes.

Methods

Longitudinal data from 3305 individuals with diabetes were obtained from a large Japanese diabetes registry. Independent correlations between quintiles of PAID total scores or PAID scores of ≥40 and all-cause mortality (median follow-up of 6.1 years) were examined using Cox proportional hazards models with adjustment for potential confounders.

Results

The study population included 1280 women and 2025 men with a mean age of 64.9 years, BMI of 24.6 kg/m2 and HbA1c level of 58.7 mmol/mol (7.5%). In the multivariable-adjusted model, compared with the first quintile of PAID scores, the multivariable-adjusted HRs (95% CIs) for all-cause mortality for the second to fifth quintiles were 1.11 (0.77, 1.60; p = 0.56), 0.87 (0.56, 1.35; p = 0.524), 0.95 (0.63, 1.46; p = 0.802) and 1.60 (1.09, 2.36; p = 0.016), respectively. Compared with a PAID score of <40, the multivariable-adjusted HR for all-cause mortality of those with a score of ≥10 was 1.56 (95% CI 1.17, 2.08; p = 0.002). In subgroup analyses, the association between PAID score and all-cause mortality was found in men (HR 1.76; 95% CI 1.26, 2.46) but not in women (HR 1.09; 95% CI 0.60, 2.00), with a significant interaction between diabetes distress and sex (p = 0.0336).

Conclusions/interpretation

We observed a significant positive association between high diabetes distress and all-cause mortality in men with diabetes.

Keywords

Diabetes distress Epidemiology Human Mortality Problem Areas in Diabetes survey Type 2 diabetes 

Abbreviations

CRC

Clinical research coordinator

IFCC

International Federation of Clinical Chemistry

NGSP

National Glycohemoglobin Standardization Program

PAID

Problem Areas in Diabetes

Introduction

Type 2 diabetes encompasses a complicated and heterogeneous group of metabolic alterations characterised by chronic hyperglycaemia. The prevalence of type 2 diabetes has dramatically increased over the past few decades worldwide [1], and is projected to increase further over the coming decades [2]. Type 2 diabetes and its complications contribute to a large portion of the burden of morbidity and disability worldwide. The 2016 Global Burden of Disease Study identified diabetes mellitus as the 12th major cause of reduced life expectancy, up from 23rd place in 1990 and 16th place in 2006 [3].

Self-management is the basis of diabetes care, and individuals with diabetes are expected to carry out daily self-management activities to help avoid diabetes-related morbidity and mortality. Many people with diabetes feel burdened by the never-ending challenge of self-management and experience periods of frustration, anger, fear and helplessness, which are referred to collectively as diabetes distress [4]. The Diabetes Attitudes, Wishes and Needs 2 study reported that diabetes-related distress is common globally, and affects on average 44.6% of those with diabetes [5]. High levels of diabetes distress have been associated with poor glycaemic control and a high prevalence of complications in cross-sectional studies [6]; thus, we hypothesised that high levels of diabetes distress lead to a higher risk of mortality in the long term, and designed the present study to test this hypothesis.

We studied a cohort of Japanese individuals with type 2 diabetes from a large-scale Japanese diabetes registry to identify any associations between diabetes distress (measured using the Problem Areas in Diabetes [PAID] survey [7] at baseline) and the subsequent risk of all-cause mortality.

Methods

Participants

Data were derived from a diabetes registry at Tenri Hospital, a regional tertiary-care teaching hospital in Japan. From October 2009 to August 2010, the registry recruited individuals diagnosed with diabetes who visited the outpatient clinic. In brief, this study is a cohort study aiming at evaluating the cross-sectional and prospective association between psychosocioeconomic factors, biomarkers, and the incidence of micro- and macrovascular complications in patients with diabetes [8]. Individuals diagnosed with impaired glucose tolerance and/or impaired fasting glucose using an oral glucose tolerance test were excluded. In total, 5133 individuals with diabetes visited the hospital, of whom 81 individuals were excluded from the study because of dementia (n = 15), mental retardation (n = 6), schizophrenia (n = 3), major depression (n = 2), visual disturbances (n = 35), poor general condition (n = 3) and other comorbidities (n = 17). Of the remaining 5052 individuals, 3898 (77.2%) consented to participate in the study and were asked to complete the PAID survey at study registration, with the assistance of clinical research coordinators (CRCs). We further excluded individuals with diabetes other than type 2 diabetes (n = 199), those with a past history of any malignant neoplasms (n = 365) and those who did not complete the PAID survey (n = 29). In the end, data from 3305 individuals were used for the current analysis (1280 women and 2025 men). The ethics committee of Tenri Hospital approved this study. All participants gave their written informed consent before enrolment.

Data collection

At baseline and every year thereafter, trained CRCs collected participant demographics from medical charts, including age, sex, body weight, duration of diabetes, past medical history (including microvascular and macrovascular complications) and treatment modalities. Prescription data were obtained electronically from the drug-ordering system. Laboratory tests (carried out during regular hospital visits) included random measurements (fasting was not required) of HbA1c and the urinary albumin/creatinine ratio. On the same day as the laboratory tests, participants completed various self-administered questionnaires (International physical activity questionnaire [9], questionnaire on hypoglycaemia frequency [10], and short form [SF]-8 [11]). HbA1c levels were measured using the Japan Diabetes Society method [12], and then converted to the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) Working Group values [13]. Two trained CRCs independently input data from the medical charts or from written data to the data server at the Data Management Centre of Tenri hospital, and rechecked medical charts and original survey sheets for inconsistencies.

Assessment of diabetes distress

All participants completed a Japanese version of the PAID questionnaire embedded within a self-administered survey. Developed by Polonsky et al, the PAID questionnaire is a 20 item self-report that measures diabetes-related emotional distress with high reliability and clinical utility [7]. It was translated into Japanese by Ishii and the Japanese version shows good consistency and validity [14]. Questions such as ‘From your own perspective, to what degree are the following diabetes-related issues currently a problem for you?’ are rated using a five point scale for each item (ranging from 0 = not a problem to 4 = a serious problem). According to the authors’ recommendation, we summed the item responses and multiplied by 1.25 to obtain a total score ranging from 0 to 100.

Mortality

Each year, researchers reviewed the list of registered participants and the vital status of each participant was checked using the information on medical charts. If a participant was no longer attending our hospital and the vital status was unknown then we conducted a follow-up using postal and telephone surveys. For each individual who had died, the underlying cause of death was classified on the basis of reviews of inpatient and outpatient medical records just preceding the death, the death certificate and other records (e.g. autopsy report), using the same methods as the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study group [15]. The death certificate diagnosis was used when no other records were available. Two physicians reviewed all deaths and determined the underlying cause of death by consensus.

Statistical analysis

Continuous variables are expressed as means and SDs or interquartile range, where indicated. Intergroup differences were evaluated using the unpaired Student’s t test for normally distributed variables, the Mann–Whitney U test for variables with skewed distribution and the χ2 analysis for categorical variables.

We first looked for a linear association between the PAID total score and the risk of all-cause mortality. However, because the PAID score was not normally distributed in our sample, we categorised PAID total scores into quintiles and treated them as categorical variables. We used a Cox proportional hazards model to estimate HRs and their 95% CIs for the all-cause mortality of each category compared with the first quintile. Each person-time was calculated from the date of the baseline survey to the date of death or of the last survey, whichever occurred first. We used two statistical models. The first model was adjusted for age and sex, while the second was multivariably adjusted for age, sex, BMI, HbA1c, type of diabetes therapy (diet only, oral medication only, insulin or glucagon-like receptor agonist injection), urinary albumin/creatinine ratio (<3, 3–30 or ≥30 mg/mmol), history of any diabetic retinopathy, symptomatic diabetic neuropathy and past medical history (acute myocardial infarction, chronic stable angina, peripheral artery disease, leg ulceration, ischaemic stroke and haemorrhagic stroke).

Next, we performed an analysis using the known cut-off point for the PAID total score of ≥40 to define diabetes distress, which has been found to be around 1 SD above the mean across different studies and has discriminative validity [7, 16]. We used the above-mentioned two statistical models (age- and sex-adjusted or the multivariable-adjusted Cox proportional hazards model) to estimate HRs and their 95% CIs for the all-cause mortality of participants with diabetes distress vs those without such distress. In addition, we performed subgroup analyses of the association between diabetes distress, defined by a PAID score of ≥40, and diabetes by sex, age (<65 or ≥65 years), HbA1c (<58 or ≥58 mmol/mol [7.5%]) and diabetes therapy (diet only, oral medication only or any injection therapy). We selected the cut-off values of age and HbA1c for the subgroup analysis because these values were close to the means. The statistical interactions were analysed using likelihood ratio tests, which compared the −2 log (likelihood) between two nested models: one considering the main effects alone and the other considering the main effects and additional interacting variables. We did not perform a cause-specific death analysis because of the very small number of outcomes in each death category. All reported p values are two sided and p < 0.05 was regarded as statistically significant, other than the test for interaction (p < 0.1). All analyses were performed using Stata/SE version 13.1 (Stata Corporation, College Station, TX, USA).

Results

Of the 3305 participants include in this analysis, 3012 completed laboratory tests and questionnaires in the second year, 2926 in the third year, 2742 in the fourth year, 2461 in the fifth year, 2359 in the sixth year and 2187 participants in the seventh year. Participants had a mean ± SD age of 64.9 ± 11.2 years, BMI of 24.6 ± 3.9 kg/m2 and HbA1c level of 58.7 ± 12.7 mmol/mol (7.5 ± 1.2%). The median PAID total score was 29, and the median scores for the first to fifth quintiles were 21, 25, 30, 39 and 55, respectively. Patient characteristics by PAID score quintile at baseline are shown in Table 1. We recorded 251 deaths during the median follow-up of 6.1 years (incidence ratio 14.0 per 1000 person-years) (Table 2). The most frequent cause of death was malignant neoplasia (27.1%), followed by cardiovascular disease (19.9%), infections (12.0%) and ischaemic or haemorrhagic stroke (4.8%). This order of ranking was similar to that found by a survey by the Japan Diabetes Society of the causes of death in 45,708 Japanese individuals with diabetes during the years 2001–2010 [17].
Table 1

Participant characteristics based on PAID score quintiles at baseline

Variable

All (n = 3305)

Q1 (n = 736)

Q2 (n = 720)

Q3 (n = 568)

Q4 (n = 662)

Q5 (n = 619)

p value a

PAID total score

29 (23–41)

21 (20–22)

25 (24–26)

30 (29–32)

39 (36–42)

55 (50–62)

 

Age (years)

64.9 ± 11.2

64.8 ± 10.3

63 ± 11.3

63 ± 11.3

62.7 ± 12

62.7 ± 12

<0.001

Female

38.7

36.3

36.3

41.0

37.9

49.6

<0.001

BMI (kg/m2)

24.6 ± 3.9

24.4 ± 3.8

24.8 ± 4.1

24.8 ± 4.1

25 ± 4.3

25 ± 4.3

0.0131

HbA1c

      

<0.001

  IFCC (mmol/mol)

58.7 ± 12.7

56.3 ± 11.2

57.0 ± 11.7

57.8 ± 12.0

59.9 ± 51.1

62.9 ± 14.8

 

  NGSP (%)

7.5 ± 1.2

7.4 ± 1.1

7.6 ± 1.2

7.6 ± 1.2

7.9 ± 1.4

7.9 ± 1.4

 

Types of diabetes therapy

      

<0.001

  Diet only

61.8

66.9

66.9

62

58.5

49.1

 

  Oral medication without injection therapy

14.8

11.5

11.5

14.6

18.9

20.7

 

  Insulin or GLP1-RA

23.4

21.5

21.5

23.4

22.7

30.2

 

Urinary albumin/creatinine ratio

      

0.573

  <3 mg/mmol

50.4

47.3

47.3

50.4

53.9

49.7

 

  3–30 mg/mmol

36.9

39.7

39.7

36.5

36.0

35.6

 

  ≥30 mg/mmol

12.7

13.1

13.1

13.1

10.1

14.6

 

Any diabetic retinopathy

45.5

38.7

38.7

45.3

52.1

53.3

0.001

Symptomatic diabetic neuropathy

9.3

9.0

9.0

8.6

9.1

10.2

<0.001

Past medical history

  Acute myocardial infarction

9.3

9.0

9.0

8.6

9.1

10.2

0.905

  Chronic stable angina

11.7

11.9

11.9

12.7

12.4

10.7

0.71

  Peripheral artery disease

2.2

1.3

1.3

1.6

3.0

3.2

0.041

  Leg ulceration

1.0

1.0

1.0

1.2

0.8

1.1

0.897

  Ischaemic stroke

8.1

7.9

7.9

6.3

8.6

7.0

0.132

  Haemorrhagic stroke

1.2

1.4

1.4

0.9

0.8

0.8

0.314

Data are median (IQR), means ± SD or %

GLP1-RA, glucagon-like peptide-1 receptor agonist; IQR, interquartile range

ap value across groups

Table 2

PAID score quintiles and subsequent risk of all-cause mortality

Quintile

Participants, n

Person-years

Deaths, n

Incidence ratioa (95% CI)

Q1

736

3926

69

17.6 (13.9, 22.3)

Q2

720

3816

59

15.5 (12.0, 20.0)

Q3

568

3127

30

9.6 (6.7, 13.7)

Q4

662

3703

38

10.3 (7.5, 14.1)

Q5

619

3293

55

16.7 (12.8, 21.8)

aPer 1000 person-years

Compared with individuals in the first quintile of the PAID score, the age- and sex-adjusted HRs (95% CI) for all-cause mortality for those in the second to fifth quintiles were 1.17 (0.82, 1.66; p = 0.393), 0.84 (0.54, 1.31; p = 0.445), 0.99 (0.66, 1.49; p = 0.954) and 1.71 (1.18, 2.47; p = 0.004), respectively (Table 3), and we observed a significant linear trend (ptrend = 0.043). Adjusting for possible confounders slightly attenuated the association; the multivariable-adjusted HRs (95% CI) for all-cause mortality were 1.11 (0.77, 1.60; p = 0.56), 0.87 (0.56, 1.35; p = 0.524), 0.95 (0.63, 1.46; p = 0.802) and 1.61 (1.09, 2.36; p = 0.016), respectively, and the ptrend went into the non-significant range (p = 0.089).
Table 3

Associations between PAID score (quintiles or score <40 or ≥40) and subsequent risk of death

HR (95% CI)

Age- and sex-adjusted model

Multivariable-adjusted modela

PAID total score (quintile)

  Q1 (n = 736)

Ref.

Ref.

  Q2 (n = 720)

1.17 (0.82, 1.66)

1.11 (0.77, 1.60)

  Q3 (n = 568)

0.84 (0.54, 1.31)

0.87 (0.56, 1.35)

  Q4 (n = 662)

0.99 (0.66, 1.49)

0.95 (0.63, 1.46)

  Q5 (n = 619)

1.71 (1.18, 2.47)

1.61 (1.09, 2.36)

p trend

0.043

0.089

PAID total score (two category)

  <40 (n = 2395)

Ref.

Ref.

  ≥40 (n = 910)

1.59 (1.21, 2.09)

1.56 (1.17, 2.08)

p value

0.001

0.002

aAdjusted for age, sex, BMI, HbA1c, types of diabetes therapy, urinary albumin/creatinine ratio, history of any diabetic retinopathy, symptomatic diabetic neuropathy and past medical history (acute myocardial infarction, chronic stable angina, peripheral artery disease, leg ulceration, ischaemic stroke and haemorrhagic stroke)

In the analysis using the cut-off point of PAID total score ≥40 and comparing with the values for those without diabetes distress (i.e. PAID total score <40), the age- and sex-adjusted HR was 1.59 (95% CI 1.21, 2.09; p = 0.001). After adjusting for possible confounders, we still observed a significant association between diabetes distress and all-cause mortality (HR 1.56; 95% CI 1.17, 2.08; p = 0.002).

The results of subgroup analyses are shown in Fig. 1. We observed a significant interaction (p = 0.0336) between diabetes distress and sex. Compared with those without diabetes distress, the HRs (95% CI) for all-cause mortality for those with diabetes distress were 1.09 (0.60, 2.00) in women and 1.76 (1.26, 2.46) in men. We did not observe any interaction between diabetes distress and age (p = 0.1435), HbA1c levels (p = 0.35) or type of diabetes therapy (p = 0.1078).
Fig. 1

Associations between the PAID total score (<40 vs ≥40) and all-cause mortality in subgroups. A total of 3305 participants were included in the analysis. HRs and 95% CIs were estimated using Cox regression models adjusted for age, sex, BMI, HbA1c, types of diabetes therapy, urinary albumin/creatinine ratio, history of any diabetic retinopathy, symptomatic diabetic neuropathy and past medical history (acute myocardial infarction, chronic stable angina, peripheral artery disease, leg ulceration, ischaemic stroke or haemorrhagic stroke). The p values for interaction were obtained using likelihood ratio testing

Discussion

As far as we know, this is the first study to prospectively evaluate the association between diabetes distress and the subsequent risk of all-cause mortality in individuals with type 2 diabetes. The highest quintile of PAID total score (or those with diabetes distress defined as a PAID total score of ≥40) was significantly associated with a higher risk of all-cause mortality than the lowest quintile of PAID score. Furthermore, we found this association only in men with type 2 diabetes, and not in women.

Clinically, dealing with diabetes distress is important because it can present a psychological obstacle to effective self-management behaviours and therefore to achieving good glycaemic control [18, 19]. Several studies have evaluated the association between diabetes distress and glycaemic control or diabetes complications in individuals with diabetes. In one such study that looked at 3489 Japanese individuals with type 1 or type 2 diabetes, the PAID score quartile was significantly associated with poor glycaemic control (HbA1c ≥53 mmol/mol [7.0%]), with a significant linear trend (p = 0.03) even after adjusting for possible confounders [8]. A similar association has been observed in other regions [6, 20] and in studies using other measures of diabetes distress (Diabetes Distress Scale) [20]. However, these studies were limited by their cross-sectional design. One recently published study found that diabetes distress (defined by a PAID score of ≥40) was not associated with worsening HbA1c levels in individuals with type 2 diabetes [21]. This study was limited by a very short follow-up duration of only 2 years, and further evidence is needed to evaluate an association between diabetes distress and glycaemic control.

In a cross-sectional study of 2374 individuals with type 2 diabetes, a PAID-5 score of ≥40 was associated with a higher prevalence of diabetes complications [6]. Because this was a cross-sectional study, however, it is possible that reverse causation applied and that individuals with diabetes complications were distressed. Two prospective studies have evaluated the association between distress and diabetes complications in individuals with diabetes. One found that general (not diabetes-specific) distress, as measured by the Mental Health Inventory 5, was associated with a 1.8-fold higher risk of mortality and a 1.7-fold higher risk of having a cardiovascular event in 1533 Swedish individuals with type 2 diabetes during a mean follow-up of 5.4 years [22]. The other prospective study evaluated the association between diabetes-specific distress, measured using PAID, and the subsequent risk of diabetic complications among individuals in the UK, and found that a PAID score of ≥40 was not associated with microvascular and macrovascular complications in individuals with type 2 diabetes during the 2-year follow-up [21]. However, we believe that 2 years is too short a period to evaluate the effect of complications, and further studies are needed to examine the prospective association between diabetes distress and diabetes complications.

In our subgroup analysis, we observed a significant association of diabetes distress with all-cause mortality in men, but not in women. Few studies have evaluated sex differences in the association between psychological factors and mortality, but one meta-analysis that evaluated mortality associated with depression found the association to be higher in men [23], similar to our finding. The meta-analysis included 41,331 participants from 13 studies, and found that depression was associated with an increased risk of mortality in both men (RR 2.04 [95% CI 1.76, 2.37]) and women (RR 1.55 [95% CI 1.32, 1.82]) with a significant interaction (p = 0.015) [23]. Compared with depressed women, depressed men had a 1.97-fold higher risk of mortality (95% CI 1.63, 2.37). The mechanism explaining this difference is unclear; it is possible that lifestyle or behavioural factors may be contributing.

We are aware of the limitations of our study. First, being an epidemiological study, residual confounders may exist for the association of diabetes distress with all-cause mortality. Because the number of deaths was relatively small, we were not able to perform cause-specific analysis for the association between diabetes distress and all-cause mortality; we hope a longer duration of follow-up of our cohort will make this possible. Another possible limitation is that we did not adjust for depression in the multivariable-adjusted model; however, diabetes distress and depression are different constructs, and thus we believe that adjusting for depression would not influence our results [4]. In addition, deriving data from the registry of a single diabetes centre raises concerns regarding the generalisability of our results, particularly for the multiethnic North American and European populations.

In conclusion, among individuals with type 2 diabetes who were experiencing high levels of diabetes distress, only men displayed a higher risk of all-cause mortality compared with non-distressed individuals. Further studies will be needed to uncover the mechanism of this association between diabetes distress and mortality among men with type 2 diabetes.

Notes

Acknowledgements

We would especially like to thank Y. Moritsuji, Y. Fujita, N. Nakamura and Y. Sakamoto (Department of Endocrinology, Tenri Hospital) for their clerical support. The authors would like to thank Enago (www.enago.jp) for English language review.

Contribution statement

YH and SO searched the literature, conceived the study, analysed the data, interpreted the results, wrote the first draft of most sections of the report, obtained funding, collected the data, revised the report and participated in the writing of the report. YH was project coordinator. SO, ST and HI organised and supervised the study, interpreted the results and revised the report. All authors finally approved the version to be published. YH is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Funding

This study was partially supported by the Manpei Suzuki Diabetes Foundation and the Japan Society for the Promotion of Science (JSPS) KAKENHI (grant number 25460641). These organisations played no role in the study design or conduct, data collection, analysis or interpretation, or preparation, review or approval of the manuscript.

Duality of interest

The authors declare that there is no duality of interest associated with this manuscript.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of EndocrinologyTenri HospitalTenri CityJapan
  2. 2.Department of DiabetologyNara Medical UniversityKashiharaJapan

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