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A network analysis of depressive symptoms in adults with and without diabetes: findings from the Irish Longitudinal Study on Ageing – CORRIGENDUM

Published online by Cambridge University Press:  22 April 2025

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Abstract

Type
Corrigendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of College of Psychiatrists of Ireland

The article “A network analysis of depressive symptoms in adults with and without diabetes: findings from the Irish longitudinal study on ageing” has been corrected to rectify a coding error in the data of a follow-up sample measured in the study, which had little impact on the main conclusions. This error was swiftly and transparently brought to the attention of the editorial team, who agreed that this corrigendum was apppropriate. Due to the fact that the follow-up sample was altered, the error necessitated the correction of data and numerical values presented in the article across the Method, Results, and Discussion sections of the article, which are outlined below.

The main corrections to the article include:

  • Sample size for wave 4 cohort.

  • Statistical values in results (in text and tables) relating to wave 4 cohort (though interpretation of results remains largely the same).

  • The main difference in this corrected paper is that the fourth symptom highest in node strength is no longer consistent across all networks (‘couldn’t get going’). Similarly, ‘not feeling happy’ is no longer consistently lowest in node strength across all networks.

Importantly, the main conclusions remain around the top three symptom nodes for people with and without diabetes, that sleep is still consistently the lowest node in strength across all networks, that networks become more strongly connected over time for people with diabetes but not people without, and that specific symptom relationships, namely, between ‘felt lonely’ and ‘couldn’t get going’ and between ‘not enjoying life’ and ’sad’, were significantly stronger for people with diabetes than for those without.”

Detailed descriptions of where the above corrections affect the original article including updated tables are listed below.

Abstract:

  • Wave 4 sample corrected to: n = 363 with diabetes and n = 4,829 without diabetes.

  • “Couldn’t get going” no longer amongst the most central nodes in all networks.

  • Reference to sample at wave 4 being predominately people with newly diagnosed diabetes incorrect.

Methods:

The sample description in the methods section is updated for the wave 4 sample.

  • Wave 4 sample corrected to: n = 363 with diabetes and n = 4,829 without diabetes.

  • Description of changes between wave 1 and wave 4 corrected as per table below.

Results:

Four in text corrections to the results are made to statistics regarding the wave 4 cohort.

Discussion

  • References to “couldn’t get going” as one of the most central nodes in all networks are incorrect. Three symptoms had consistently high node strength in all networks (as opposed to four in the original article).

  • The symptom of “not feeling happy” no longer amongst the symptoms lowest in strength and expected influence in all networks.

  • The following section in the discussion is no longer relevant as it is in regard to the sample at wave 4 being predominately people with newly diagnosed diabetes.

“Those with diabetes at Wave 4 were predominately (87.74%) people with relatively new (within the last 5–7 years) diagnoses of diabetes. This is in line with recent research by Wan et al. (Reference Wan, Feng, Ma, Ma, Wang, Huang, Zhang, Jing, Yang and Yu 2022), which found a statistically significant increase in depressive symptom connectivity in the 2 years following diagnosis. In contrast, Airaksinen et al. (Reference Airaksinen, Gluschkoff, Kivimäki and Jokela 2020) found the connectivity of depressive symptoms remained unchanged before and after diagnosis (Airaksinen et al., Reference Airaksinen, Gluschkoff, Kivimäki and Jokela 2020). However, Airaksinen et al. (Reference Airaksinen, Gluschkoff, Kivimäki and Jokela2020) used a binary measure of depressive symptoms, which may have impacted the sensitivity of their findings.”

Tables and Figures

Table 1 and 2 with updated statistics (in relation to wave 4 only).

Table 1. Descriptive Statistics for the Sample

Table 2. Mean scores on the Center for Epidemiological Studies Depression 8-item (CES-D-8) Scale for each item. Scores ranged from zero to three

Figure 1 updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper. End of caption edited in reference to nodes highest in strength.

Figure 1. Network of depressive symptoms for people with (i) and without (ii) diabetes at wave 1 and with (iii) and without (iv) diabetes at wave 4. Line thickness and colour denote the strength and direction, respectively, of polychoric correlations between symptoms. Blue lines indicate positive correlations, and red indicate negative. The thicker the line, the stronger the correlation between two symptoms. Dep1 indicates I felt depressed; Dep2, I felt that everything I did was an effort; Dep3, my sleep was restless; Dep4, I was happy; Dep5, I felt lonely; Dep6, I enjoyed life; Dep7, I felt sad; Dep8, I could not get going. For those with diabetes at wave 1 (i), the node highest in node strength was depressed (Dep1), followed by everything’s an effort (Dep2) and couldn’t get going (Dep8). The order of the three nodes highest in expected influence was depressed (Dep1), couldn’t get going (Dep8) and everything’s an effort (Dep2). For those without diabetes at wave 1 (ii), the nodes highest in node strength were: depressed (Dep1), everything’s an effort (Dep2) and sad (Dep7). The nodes highest in expected influence were: depressed (Dep1), everything’s an effort (Dep2), and sad (Dep7). For those with diabetes at wave 4 (iii), the nodes highest in strength were everything’s an effort (Dep2), I was happy (Dep4), sad (Dep7), not enjoying life (Dep6). The nodes highest in expected influence were everything’s an effort (Dep2), I was happy (Dep4) and sad (Dep 7). For those without diabetes at wave 4 (iv), the nodes highest in node strength were depressed (Dep1), not enjoying life (Dep6), and everything’s an effort (Dep2). The nodes highest in expected influence were depressed (Dep1), sad (Dep7), and not enjoying life (Dep6).

Figure 2. Updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper.

Updated statistics for the supplementary tables based on wave 4 cohort data.

Figure 3. Updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper.

Supplementary 3

Wave 4 polychoric correlations for those with diabetes.

Notes. Dep1 indicates I felt depressed; Dep2, I felt that everything I did was an effort; Dep3, my sleep was restless; Dep4, I was happy; Dep5, I felt lonely; Dep6, I enjoyed life; Dep7, I felt sad; Dep8, I could not get going.

Supplementary 4

Wave 4 polychoric correlations for those without diabetes.

Notes. Dep1 indicates I felt depressed; Dep2, I felt that everything I did was an effort; Dep3, my sleep was restless; Dep4, I was happy; Dep5, I felt lonely; Dep6, I enjoyed life; Dep7, I felt sad; Dep8, I could not get going.

Supplementary figure 1 updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper.

References

Byrne, B, McInerney, AM, Deschênes, SS (2024). A network analysis of depressive symptoms in adults with and without diabetes: findings from the Irish longitudinal study on ageing. Irish Journal of Psychological Medicine https://doi.org/10.1017/ipm.2024.10 Google ScholarPubMed
Figure 0

Table 1. Descriptive Statistics for the Sample

Figure 1

Table 2. Mean scores on the Center for Epidemiological Studies Depression 8-item (CES-D-8) Scale for each item. Scores ranged from zero to three

Figure 2

Figure 1. Network of depressive symptoms for people with (i) and without (ii) diabetes at wave 1 and with (iii) and without (iv) diabetes at wave 4. Line thickness and colour denote the strength and direction, respectively, of polychoric correlations between symptoms. Blue lines indicate positive correlations, and red indicate negative. The thicker the line, the stronger the correlation between two symptoms. Dep1 indicates I felt depressed; Dep2, I felt that everything I did was an effort; Dep3, my sleep was restless; Dep4, I was happy; Dep5, I felt lonely; Dep6, I enjoyed life; Dep7, I felt sad; Dep8, I could not get going. For those with diabetes at wave 1 (i), the node highest in node strength was depressed (Dep1), followed by everything’s an effort (Dep2) and couldn’t get going (Dep8). The order of the three nodes highest in expected influence was depressed (Dep1), couldn’t get going (Dep8) and everything’s an effort (Dep2). For those without diabetes at wave 1 (ii), the nodes highest in node strength were: depressed (Dep1), everything’s an effort (Dep2) and sad (Dep7). The nodes highest in expected influence were: depressed (Dep1), everything’s an effort (Dep2), and sad (Dep7). For those with diabetes at wave 4 (iii), the nodes highest in strength were everything’s an effort (Dep2), I was happy (Dep4), sad (Dep7), not enjoying life (Dep6). The nodes highest in expected influence were everything’s an effort (Dep2), I was happy (Dep4) and sad (Dep 7). For those without diabetes at wave 4 (iv), the nodes highest in node strength were depressed (Dep1), not enjoying life (Dep6), and everything’s an effort (Dep2). The nodes highest in expected influence were depressed (Dep1), sad (Dep7), and not enjoying life (Dep6).

Figure 3

Figure 2. Updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper.

Figure 4

Figure 3. Updated for wave 4 cohort (bottom row). Connections are fundamentally the same as in the original paper.