Giesje Nefs

Tilburg University, Tilburg, North Brabant, Netherlands

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Publications (13)44.72 Total impact

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    ABSTRACT: People with diabetes have a higher risk of emotional distress (anxiety, depression) than non-diabetic or healthy controls. Therefore, identification of factors that can decrease emotional distress is relevant. The aim of the present study was to examine (1) the association between facets of mindfulness and emotional distress; and (2) whether mindfulness might moderate the association between potential adverse conditions (stressful life events and comorbidity) and emotional distress. Analyses were conducted using cross-sectional data (Management and Impact for Long-term Empowerment and Success-Netherlands): 666 participants with diabetes (type 1 or type 2) completed measures of mindfulness (Five Facet Mindfulness Questionnaire-Short Form; FFMQ-SF), depressive symptoms (Patient Health Questionnaire; PHQ-9), and anxiety symptoms (General Anxiety Disorder assessment; GAD-7). Hierarchical multiple regression analyses showed significant associations between mindfulness facets (acting with awareness, non-judging, and non-reacting) and symptoms of anxiety and depression (β = -0.20 to -0.33, all p < 0.001). These mindfulness facets appeared to have a moderating effect on the association between stressful life events and depression and anxiety (all p < 0.01). However, the association between co-morbidity and emotional distress was largely not moderated by mindfulness. In conclusion, mindfulness is negatively related to both depression and anxiety symptoms in people with diabetes and shows promise as a potentially protective characteristic against the influence of stressful events on emotional well-being.
    Journal of behavioral medicine. 08/2014;
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    ABSTRACT: AimTo compare depression and anxiety symptoms and self-care behaviours of young adults with Type 2 diabetes with two matched control groups.Methods Using cross-sectional survey data from the Australian and Dutch Diabetes Management and Impact for Long-term Empowerment and Success (MILES) studies, we matched 93 young adults (aged 18–39 years) with Type 2 diabetes (case group) with (1) 93 older adults (≥40 years) with Type 2 diabetes (Type 2 diabetes control group; matched on country, gender, education, diabetes duration and insulin use) and (2) 93 young adults with Type 1 diabetes (Type 1 diabetes control group; matched on country, gender, age and education). Groups were compared with regard to depression symptoms (nine-item Patient Health Questionnaire), anxiety symptoms (seven-item Generalized Anxiety Disorder questionnaire) and frequency of selected self-care behaviours (single item per behaviour).ResultsSubjects in the case group had higher depression scores (Cohen's d =0.40) and were more likely to have clinically meaningful depressive symptoms (Cramer's V=0.23) than subjects in the Type 2 diabetes control group. Subjects in the case group had statistically equivalent depression scores to those of the Type 1 diabetes control subjects. The groups did not differ in anxiety scores. Those in the case group were less likely than both control groups to take insulin as recommended (Cramer's V =0.24–0.34, but there were no significant differences between the groups in oral medication-taking. Case subjects were less likely than Type 2 diabetes control subjects to eat healthily (Cramer's V =0.16), and less likely than Type 1 diabetes control subjects to be physically active (Cramer's V =0.15).Conclusions Our results suggest that Type 2 diabetes is as challenging as Type 1 diabetes for young adults and more so than for older adults. Young adults with Type 2 diabetes may require more intensive psychological and self-care support than their older counterparts.Some of the data in the present paper have been previously presented in poster form and in an abstract of < 300 words: Browne JL, Nefs G, Pouwer F, Speight J. Depression, anxiety and self-care among young adults with Type 2 diabetes: results from the international Diabetes MILES Study. Poster presented at Diabetes UK Professional Conference 2014, Liverpool, UK, 5–7 March 2014This article is protected by copyright. All rights reserved.
    Diabetic Medicine 08/2014; · 3.24 Impact Factor
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    ABSTRACT: AimsTo compare levels of diabetes distress in people with Type 2 diabetes treated in primary and secondary care and to examine demographic and clinical correlates that may explain potential differences in levels of distress between care settings.Methods People with Type 2 diabetes from 24 primary care practices (n=774) and three secondary care clinics (n=526) completed the Problem Areas In Diabetes questionnaire. Data on HbA1c levels and diabetes complications were derived from medical charts. Hierarchical ordinal regression analysis was used to investigate which correlates could explain the potential differences in level of diabetes distress between care settings.ResultsDiabetes distress levels and the prevalence of elevated diabetes distress were considerably lower in the participants treated in primary care (mean (sd) total diabetes distress score 8 (11); 4% of participants with Problem Areas In Diabetes score≥40) than in secondary care [mean (sd) total diabetes distress score 23 (21); 19% of participants with Problem Areas In Diabetes score ≥40, P<0.001). In addition to care setting, the following variables were also independently related to diabetes distress: younger age, ethnic minority status, using insulin, having a higher HbA1c level, having a higher BMI and the presence of neuropathy. Other diabetes complications were not independently associated with diabetes distress.Conclusions In primary care, lower levels of diabetes distress were reported than in secondary care. The difference in diabetes distress between care settings can be largely, but not fully, explained by specific demographic and clinical characteristics. These results need to be interpreted with caution as they are based on two separate studies, but do call into question the need to screen for diabetes distress in people with Type 2 diabetes in primary care.This article is protected by copyright. All rights reserved.
    Diabetic Medicine 04/2014; · 3.24 Impact Factor
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    ABSTRACT: In the past decades, important advances have been achieved in the psychological aspects of diabetes. This article reviews the associations between diabetes, depression, and adverse health outcomes. The article provides an update on the literature regarding the prevalence of depression in diabetes, discusses the impact of depression on diabetes self-care and glycemic control in people with diabetes, and summarizes the results of longitudinal studies that have investigated depression as a risk factor for adverse health outcomes.
    Endocrinology and metabolism clinics of North America 09/2013; 42(3):529-44. · 3.56 Impact Factor
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    ABSTRACT: To examine the association between depression and all-cause and cardiovascular mortality in people with diabetes by systematically reviewing the literature and carrying out a meta-analysis of relevant longitudinal studies. PUBMED and PSYCINFO were searched for articles assessing mortality risk associated with depression in diabetes up until August 16, 2012. The pooled hazard ratios were calculated using random-effects models. Sixteen studies met the inclusion criteria, which were pooled in an overall all-cause mortality estimate, and five in a cardiovascular mortality estimate. After adjustment for demographic variables and micro- and macrovascular complications, depression was associated with an increased risk of all-cause mortality (HR = 1.46, 95% CI = 1.29-1.66), and cardiovascular mortality (HR = 1.39, 95% CI = 1.11-1.73). Heterogeneity across studies was high for all-cause mortality and relatively low for cardiovascular mortality, with an I-squared of respectively 78.6% and 39.6%. Subgroup analyses showed that the association between depression and mortality not significantly change when excluding three articles presenting odds ratios, yet this decreased heterogeneity substantially (HR = 1.49, 95% CI = 1.39-1.61, I-squared = 15.1%). A comparison between type 1 and type 2 diabetes could not be undertaken, as only one study reported on type 1 diabetes specifically. Depression is associated with an almost 1.5-fold increased risk of mortality in people with diabetes. Research should focus on both cardiovascular and non-cardiovascular causes of death associated with depression, and determine the underlying behavioral and physiological mechanisms that may explain this association.
    PLoS ONE 01/2013; 8(3):e57058. · 3.53 Impact Factor
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    ABSTRACT: To examine whether depressive symptoms are associated with time to insulin initiation in insulin-naïve people with type 2 diabetes in primary care. 1,389 participants completed the Edinburgh Depression Scale (EDS) in 2005 and were followed until: 1) insulin therapy was started, 2) death, 3) an oral antihyperglycemic drug (OAD) prescription gap >1 year, 4) last OAD prescription in 2010 or 5) the end of the study (December 31, 2010). Cox regression analyses were used to determine whether there was a difference in time to insulin initiation between people with a low versus a high depression score at baseline, adjusting for potential demographic and clinical confounders, including HbA1c levels. The prevalence of depression (EDS≥12) was 12% (n = 168). After a mean follow-up of 1,597±537 days, 253 (18%) participants had started insulin therapy. The rate of insulin initiation did not differ between depressed and non-depressed participants. People with depression were not more likely to start insulin therapy earlier or later than their non-depressed counterparts (HR = 0.98, 95% CI 0.66-1.45), also after adjustment for sex and age (HR = 0.95, 0.64-1.42). The association remained non-significant when individual candidate confounders were added to the age- and sex-adjusted base model. In the present study, depression was not associated with time to insulin initiation. The hypothesis that depression is associated with delayed initiation of insulin therapy merits more thorough testing, preferably in studies where more information is available about patient-, provider- and health care system factors that may influence the decision to initiate insulin.
    PLoS ONE 01/2013; 8(11):e78865. · 3.53 Impact Factor
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    ABSTRACT: BACKGROUND: As the number of people with diabetes is increasing rapidly worldwide, a more thorough understanding of the psychosocial aspects of living with this condition has become an important health care priority. While our knowledge has grown substantially over the past two decades with respect to the physical, emotional and social difficulties that people with diabetes may encounter, many important issues remain to be elucidated. Under the umbrella of the Diabetes MILES (Management and Impact for Long-term Empowerment and Success) Study International Collaborative, Diabetes MILES -- The Netherlands aims to examine how Dutch adults with diabetes manage their condition and how it affects their lives. Topics of special interest in Diabetes MILES - The Netherlands include subtypes of depression, Type D personality, mindfulness, sleep and sexual functioning.Methods/designDiabetes MILES -- The Netherlands was designed as a national online observational study among adults with diabetes. In addition to a main set of self-report measures, the survey consisted of five complementary modules to which participants were allocated randomly. From September to October 2011, a total of 3,960 individuals with diabetes (40% type 1, 53% type 2) completed the battery of questionnaires covering a broad range of topics, including general health, self-management, emotional well-being and contact with health care providers. People with self-reported type 1 diabetes (specifically those on insulin pump therapy) were over-represented, as were those using insulin among respondents with self-reported type 2 diabetes. People from ethnic minorities were under-represented. The sex distribution was fairly equal in the total sample, participants spanned a broad age range (19--90 years), and diabetes duration ranged from recent diagnosis to living with the condition for over fifty years. DISCUSSION: The Diabetes MILES Study enables detailed investigation of the psychosocial aspects of living with diabetes and an opportunity to put these findings in an international context. With several papers planned resulting from a pooled Australian-Dutch dataset and data collections planned in other countries, the Diabetes MILES Study International Collaborative will contribute substantially to identifying potentially unmet needs of those living with diabetes and to inform clinical research and care across the globe.
    BMC Public Health 10/2012; 12(1):925. · 2.08 Impact Factor
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    ABSTRACT: In cardiovascular research, Type D personality (high negative affectivity and social inhibition) has been associated with a more than 3-fold increased risk of adverse health outcomes. This study examined the validity and clinical correlates of the Type D construct as assessed by the Type D Scale-14 (DS14) in type 2 diabetes patients. 1553 primary care patients with type 2 diabetes were assessed for demographic, clinical, lifestyle and psychological characteristics in 2007. A subgroup (n=1012) completed the DS14 again 1 year later. The two-factor model of the Type D construct was confirmed in exploratory and confirmatory factor analyses; results were stable across gender. The Negative Affectivity (NA) and Social Inhibition (SI) subscales had adequate reliability in both men and women, as measured by Cronbach's alpha (NA=0.87, SI=0.83), lambda2 (NA=0.87/0.88, SI=0.84), corrected item-total correlations (NA 0.47-0.77, SI 0.34-0.72) and mean inter-item correlations (NA=0.50/0.51, SI=0.42). One year test-retest reliability using intraclass correlation coefficients was 0.64/0.63 for NA and 0.73/0.65 for SI. Type D and non-Type D patients did not differ in vascular history or physiological risk factors, but Type D women had a more sedentary lifestyle (p=.003). Type D patients experienced less social support and more stressful life events, loneliness, and more depressed mood, anhedonia and anxiety (p<.001 for most variables). These differences were clinically significant (Cohen's d>0.60 for most variables). Type D personality can be reliably assessed in primary care patients with type 2 diabetes, and is associated with increased loneliness, stress and emotional distress in these patients.
    Journal of psychosomatic research 04/2012; 72(4):251-7. · 2.91 Impact Factor
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    ABSTRACT: Recent studies examining the relationship between depression and glycosylated hemoglobin (HbA(1c)) concentrations in patients with type 2 diabetes have yielded mixed findings. One explanation may lie in the heterogeneity of depression. Therefore, we examined whether distinct features of depression were differentially associated with suboptimal glycemic control. Cross-sectional baseline data from a dynamic cohort study of primary care patients with type 2 diabetes from the Eindhoven region, The Netherlands, were analyzed. A total of 5772 individuals completed baseline measurements of demographic, clinical, lifestyle and psychological factors between 2005 and 2009. The Edinburgh Depression Scale was used to assess symptoms of depressed mood, anhedonia and anxiety. Suboptimal glycemic control was defined as HbA(1c) values ≥7%, with 29.8% of the sample (n=1718) scoring above this cut-off. In univariate logistic regression analyses, anhedonia was significantly associated with suboptimal glycemic control (OR 1.29, 95% CI 1.09-1.52), while both depressed mood (OR 1.04, 0.88-1.22) and anxiety (OR 0.99, 0.83-1.19) were not. The association between anhedonia and glycemic control remained after adjustment for the other depression measures (OR 1.33, 1.11-1.59). Alcohol consumption and physical activity met criteria for mediation, but did not attenuate the association between anhedonia and glycemic control by more than 5%. Although diabetes duration was identified as a confounder and controlled for, the association was still significant (OR 1.20, 1.01-1.43). Studying different symptoms of depression, in particular anhedonia, may add to a better understanding of the relationship between depression and glycemic control.
    Journal of Psychiatric Research 01/2012; 46(4):549-54. · 4.09 Impact Factor
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    ABSTRACT: The aim of the study was to examine the course (incidence, recurrence/persistence) of depressive symptoms in primary care patients with type 2 diabetes and to identify significant predictors of these different course patterns. A cohort of 2,460 primary care patients with type 2 diabetes was assessed for demographic, clinical and psychological factors in 2005 and followed-up in 2007 and 2008. Depression was defined as a score of ≥ 12 on the Edinburgh Depression Scale. Multivariate logistic regression analyses were used to determine whether several depression-course patterns could be predicted by means of demographics, medical co-morbidities and psychological factors. A total of 630 patients (26%) met the criterion for depression at one or more assessments. In the subgroup with no baseline depression, incident depression at follow-up was present in 14% (n = 310), while recurrence/persistence in those with baseline depression was found in 66% (n = 212).The presence of any depression was associated with being female, low education, non-cardiovascular chronic diseases, stressful life events and a self-reported history of depression. Incident depression was predicted by female sex, low education and depression history, while patients with a history of depression had a 2.5-fold increased odds of recurrent/persistent depression. Depression is common in primary care patients with type 2 diabetes, with one in seven patients reporting incident depression during a 2.5 year period. Once present, depression often becomes a chronic/recurrent condition in this group. In order to identify patients who are vulnerable to depression, clinicians can use questionnaire data and/or information about the history of depression.
    Diabetologia 12/2011; 55(3):608-16. · 6.49 Impact Factor
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    ABSTRACT: Depression is a common complication in type 2 diabetes (DM2), affecting 10-30% of patients. Since depression is underrecognized and undertreated, it is important that reliable and validated depression screening tools are available for use in patients with DM2. The Edinburgh Depression Scale (EDS) is a widely used method for screening depression. However, there is still debate about the dimensionality of the test. Furthermore, the EDS was originally developed to screen for depression in postpartum women. Empirical evidence that the EDS has comparable measurement properties in both males and females suffering from diabetes is lacking however. In a large sample (N = 1,656) of diabetes patients, we examined: (1) dimensionality; (2) gender-related item bias; and (3) the screening properties of the EDS using factor analysis and item response theory. We found evidence that the ten EDS items constitute a scale that is essentially one dimensional and has adequate measurement properties. Three items showed differential item functioning (DIF), two of them showed substantial DIF. However, at the scale level, DIF had no practical impact. Anhedonia (the inability to be able to laugh or enjoy) and sleeping problems were the most informative indicators for being able to differentiate between the diagnostic groups of mild and severe depression. The EDS constitutes a sound scale for measuring an attribute of general depression. Persons can be reliably measured using the sum score. Screening rules for mild and severe depression are applicable to both males and females.
    BMC Psychiatry 08/2011; 11:141. · 2.23 Impact Factor
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    ABSTRACT: Meta-analyses have shown that the risk for depression is elevated in type 2 diabetes. Whether this risk in individuals with impaired glucose metabolism (IGM) or undiagnosed diabetes (UDD) is elevated relative to normal glucose metabolism (NGM) or decreased relative to previously diagnosed type 2 diabetes (PDD) has not been the subject of a systematic review/meta-analysis. This study examined the prevalence of depression in IGM and UDD subjects relative to each other and to NGM and PDD subjects by reviewing the literature and conducting a meta-analysis of studies on this topic. EMBASE and MEDLINE databases were searched for articles published up to May 2010. All studies that compared the prevalence of depression in subjects with IGM and UDD were included. Odds ratios (ORs) were calculated using fixed and random-effects models. The meta-analysis showed that the risk for depression was not increased in IGM versus NGM subjects (OR 0.96, 95% CI 0.85-1.08). Risk for depression did not differ between individuals with UDD and individuals with either NGM (OR 0.94, 95% CI 0.71-1.25) or IGM (OR 1.16, 95% CI 0.88-1.54). Finally, individuals with IGM or UDD both had a significantly lower risk of depression than individuals with PDD (OR 0.59, 95% CI 0.48-0.73, and OR 0.57, 95% CI 0.45-0.74, respectively). Results of this meta-analysis show that the risk of depression is similar for NGM, IGM, and UDD subjects. PDD subjects have an increased risk of depression relative to IGM and UDD subjects.
    Diabetes care 03/2011; 34(3):752-62. · 7.74 Impact Factor
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    ABSTRACT: Depression is a common psychiatric complication of diabetes, but little is known about the natural course and the consequences of depressive symptoms in primary care patients with type 2 diabetes. While depression has been related to poor glycemic control and increased risk for macrovascular disease, its association with microvascular complications remains understudied. The predictive role of other psychological risk factors such as Type D (distressed) personality and the mechanisms that possibly link depression and Type D personality with poor vascular outcomes are also still unclear. This prospective cohort study will examine: (1) the course of depressive symptoms in primary care patients with type 2 diabetes; (2) whether depressive symptoms and Type D personality are associated with the development of microvascular and/or macrovascular complications and with the risk of all-cause or vascular mortality; and (3) the behavioral and physiological mechanisms that may mediate these associations. The DiaDDZoB Study is embedded within the larger DIAZOB Primary Care Diabetes study, which covers a comprehensive cohort of type 2 diabetes patients treated by over 200 primary care physicians in South-East Brabant, The Netherlands. These patients will be followed during their lifetime and are assessed annually for demographic, clinical, lifestyle and psychosocial factors. Measurements include an interviewer-administered and self-report questionnaire, regular care laboratory tests and physical examinations, and pharmacy medication records. The DiaDDZoB Study uses data that have been collected during the original baseline assessment in 2005 (M0; N = 2,460) and the 2007 (M1; N = 2,225) and 2008 (M2; N = 2,032) follow-up assessments. The DiaDDZoB Study is expected to contribute to the current understanding of the course of depression in primary care patients with type 2 diabetes and will also test whether depressed patients or those with Type D personality are at increased risk for (further) development of micro- and cardiovascular disease. More knowledge about the mechanisms behind this association is needed to guide new intervention studies.
    BMC Public Health 01/2010; 10:388. · 2.08 Impact Factor

Publication Stats

97 Citations
44.72 Total Impact Points

Institutions

  • 2010–2014
    • Tilburg University
      • • CoRPS-Center of Research on Psychology in Somatic diseases
      • • Department of Medical and Clinical Psychology
      Tilburg, North Brabant, Netherlands
  • 2011
    • University of Birmingham
      • School of Psychology
      Birmingham, ENG, United Kingdom