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ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019

Determinants for quality of life trajectory patterns in patients with type 2 diabetes.

Ruey-Hsia Wang, Kuan-Chia Lin, Hui-Chun Hsu, Yau-Jiunn Lee, Shyi-Jang Shin

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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7citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruey-Hsia WangCollege of Nursing, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, Kaohsiung City, 807, Taiwan, ROC. wrhsia@kmu.edu.tw.
Kuan-Chia LinInstitute of Hospital and Health Care Administration, National Yang-Ming University, 155, Sec. 2, Linong st., Beitou District, Taipei City, 11221, Taiwan, ROC.
Hui-Chun HsuLee's Endocrinology Clinic, 396, Guangdong Rd., Pingtung City, 900, Pingtung County, Taiwan, ROC.
Yau-Jiunn LeeLee's Endocrinology Clinic, 396, Guangdong Rd., Pingtung City, 900, Pingtung County, Taiwan, ROC.
Shyi-Jang ShinDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, 100, Shih-Chuan 1st Road, Kaohsiung City, 807, Taiwan, ROC.

Funding

National Science Council NSC-102-2628-B-037-012-MY3
6 · The paper itself

Abstract

purposeThe purpose of the study was to identify quality of life (QoL) trajectory patterns and the determinants in patients with Type 2 diabetes (T2DM).

methodsA longitudinal design was employed. Totally, 466 patients with T2DM recruited from five diabetic clinics in Taiwan were participants of this study. Demographic and disease characteristics, biomedical factors (HbA1c levels and body mass index), psychosocial factors (self-care behaviors, social support, resilience, diabetes distress), and QoL were collected at baseline. QoL was further measured every 6 months for four waves after baseline. Latent class growth analysis was used to identify QoL trajectory patterns. The multinomial logistic regression was further applied to explore the important determinants of different QoL trajectory patterns.

resultsThe "steadily poor" (n = 27, 5.8%), "consistently moderate" (n = 174, 37.3%), and "consistently good" (n = 265, 56.9%) trajectory patterns were identified. The HbA1c levels (OR 2.16) and diabetes distress (OR 1.18) were important for determining participants in the "steadily poor" QoL trajectory pattern. HbA1c levels (OR 1.25) and diabetes distress (OR 1.14) were important for determining participants in the "consistently moderate" QoL trajectory pattern.

conclusionsTo prevent development of relatively worse QoL trajectory patterns in patients with T2DM in a timelier manner, healthcare providers could regularly assess the QoL and provide intervention, especially for those with high HbA1c levels and high diabetes distress. Meanwhile, early intervention for decreasing HbA1c levels and diabetes distress may improve the trajectory development of QoL in patients with T2DM.

Indexed as

Diabetes Mellitus, Type 2FemaleHumansLongitudinal StudiesMaleMiddle AgedQuality of LifeDiabetes distressGlycemic controlQuality of lifeSelf-care behaviorsTrajectory patternType 2 diabetes

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.