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1000 Titel
  • Impact of depressive symptoms on medication adherence in older adults with chronic neurological diseases
1000 Autor/in
  1. Schönenberg, Aline |
  2. Heimrich, Konstantin |
  3. Prell, Tino |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-16
1000 Erschienen in
1000 Quellenangabe
  • 24(1):131
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12888-024-05585-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870557/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Nonadherence to medication contributes substantially to worse health outcomes. Especially among older adults with chronic illness, multimorbidity leads to complex medication regimes and high nonadherence rates. In previous research, depressive symptomology has been identified as a major contributor to nonadherence, and some authors hypothesize a link via motivational deficits and low self-efficacy. However, the exact mechanisms linking depressive symptomology and nonadherence are not yet understood. This is in part because the often-employed sum scores cannot do justice to the complexity of depressive symptomology; instead, it is recommended to assess the influence of individual symptoms.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Following this symptom-based approach, we performed correlation, network and regression analysis using depressive symptoms as depicted by the items of the revised Beck Depression Inventory II (BDI) to assess their influence with nonadherence in <jats:italic>N</jats:italic> = 731 older adults with chronic neurological diseases. Nonadherence was measured with the self-report Stendal Adherence to Medication Score (SAMS).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Even when controlling for sociodemographic and health-related covariates, the BDI remained the most influential contributor to nonadherence. Across different methods, Loss of Interest and Difficulty with Concentration were identified as particularly influential for nonadherence, linking nonadherence with other affective or somatic BDI items, respectively. Additionally, Fatigue, Problems with Decision Making, Suicidal Thoughts, and Worthlessness contribute to nonadherence.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Using a symptom-driven approach, we aimed to understand which depressive symptoms contribute to higher levels of nonadherence. Our results refine previous hypotheses about motivation and control beliefs by suggesting that it is not merely a lack of beliefs in the efficacy of medication that connects depressive symptoms and nonadherence, but rather an overall lack of interest in improving one’s health due to feelings of worthlessness and suicidal tendencies. This lack of interest is further substantiated by already sparse resources caused by changes in concentration and fatigue. In order to improve health outcomes and reduce nonadherence, these associations between depressive symptoms must be further understood and targeted in tailored interventions.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Depression
lokal Aged [MeSH]
lokal Older adults
lokal Self Report [MeSH]
lokal Research
lokal Humans [MeSH]
lokal Beck depression inventory
lokal Depression/psychology [MeSH]
lokal Medication Adherence/psychology [MeSH]
lokal Medication adherence
lokal Network analysis
lokal Depression/drug therapy [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-2913-9535|https://orcid.org/0000-0001-9997-2202|https://orcid.org/0000-0002-6423-3108
1000 Hinweis
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1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Bundesministerium für Bildung und Forschung |
  3. Universitätsklinikum Halle (Saale) |
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1000 Dateien
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    1000 Förderer Deutsche Forschungsgemeinschaft |
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    1000 Förderer Bundesministerium für Bildung und Forschung |
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    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Halle (Saale) |
    1000 Förderprogramm -
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1000 Objektart article
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