Psychosomatic symptom profiles identified by latent profile analysis and their psychosocial and clinical correlates in patients with type 2 diabetes mellitus: A cross-sectional study

Psychosomatic symptoms are highly prevalent among individuals with type 2 diabetes mellitus (T2DM), yet they often cluster into heterogeneous patterns that are inadequately characterized by single-symptom assessments or composite scores. This study aimed to identify latent psychosomatic symptom profiles in T2DM and to examine their associations with clinical characteristics, psychosocial resources, and health-related quality of life. This single-center cross-sectional study enrolled 312 adults with T2DM. Six psychosomatic symptom domains (depressive symptoms, anxiety, fatigue, sleep quality, pain intensity, and diabetes-related distress) were assessed as continuous indicators and analyzed using latent profile analysis. Sociodemographic and clinical variables, psychosocial resources (self-efficacy and perceived social support), and quality-of-life measures were compared across identified profiles. Multinomial logistic regression was conducted with the low symptom burden profile as the reference, using a clinical model (age, diabetes duration, and glycated hemoglobin) and an extended model incorporating psychosocial resources. Among the 312 participants (mean age 58.5 ± 10.3 years; 59.6% male), a 3-profile solution provided optimal fit (entropy = 0.93; Lo-Mendell-Rubin test P = .012). The profiles comprised a low symptom burden group (59.6%), a high fatigue-emotional distress group (21.8%), and a high overall symptom burden group (18.6%). Symptom severity differed significantly across profiles (all P < .001). Compared with the low symptom burden profile, individuals in the high symptom burden profile were older, had longer diabetes duration, and more frequently reported neuropathy and prior hypoglycemia (all P ≤ .05), whereas glycated hemoglobin and body mass index did not differ significantly. In multivariable analyses, greater self-efficacy (odds ratio 0.66, 95% confidence interval 0.56-0.78) and higher perceived social support (odds ratio 0.92, 95% confidence interval 0.89-0.95) were independently associated with reduced odds of belonging to the high symptom burden profile. Health-related quality of life demonstrated a clear gradient across profiles, with the poorest physical and mental health scores in the high symptom burden group (P < .001). Distinct psychosomatic symptom profiles were identified among patients with T2DM. A high symptom burden profile was characterized by greater clinical complexity, diminished psychosocial resources, and substantially impaired quality of life, independent of glycemic control.

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Publication Details

Journal
Medicine
Published
2026-04-17
DOI
https://doi.org/10.1097/md.0000000000048153
Primary Topic
Diabetes Management and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Psychosomatic symptom profiles identified by latent profile analysis and their psychosocial and clinical correlates in patients with type 2 diabetes mellitus: A cross-sectional study

Q Li, Chunguang Wang, Xiaoju Zhang, He Yin et al.
Medicine
Diabetes Management and Education
article

Psychosomatic symptom profiles identified by latent profile analysis and their psychosocial and clinical correlates in patients with type 2 diabetes mellitus: A cross-sectional study

Q Li, Chunguang Wang, Xiaoju Zhang, He Yin, Haixia Ma, Chao Li
article en

Abstract

Psychosomatic symptoms are highly prevalent among individuals with type 2 diabetes mellitus (T2DM), yet they often cluster into heterogeneous patterns that are inadequately characterized by single-symptom assessments or composite scores. This study aimed to identify latent psychosomatic symptom profiles in T2DM and to examine their associations with clinical characteristics, psychosocial resources, and health-related quality of life. This single-center cross-sectional study enrolled 312 adults with T2DM. Six psychosomatic symptom domains (depressive symptoms, anxiety, fatigue, sleep quality, pain intensity, and diabetes-related distress) were assessed as continuous indicators and analyzed using latent profile analysis. Sociodemographic and clinical variables, psychosocial resources (self-efficacy and perceived social support), and quality-of-life measures were compared across identified profiles. Multinomial logistic regression was conducted with the low symptom burden profile as the reference, using a clinical model (age, diabetes duration, and glycated hemoglobin) and an extended model incorporating psychosocial resources. Among the 312 participants (mean age 58.5 ± 10.3 years; 59.6% male), a 3-profile solution provided optimal fit (entropy = 0.93; Lo-Mendell-Rubin test P = .012). The profiles comprised a low symptom burden group (59.6%), a high fatigue-emotional distress group (21.8%), and a high overall symptom burden group (18.6%). Symptom severity differed significantly across profiles (all P < .001). Compared with the low symptom burden profile, individuals in the high symptom burden profile were older, had longer diabetes duration, and more frequently reported neuropathy and prior hypoglycemia (all P ≤ .05), whereas glycated hemoglobin and body mass index did not differ significantly. In multivariable analyses, greater self-efficacy (odds ratio 0.66, 95% confidence interval 0.56-0.78) and higher perceived social support (odds ratio 0.92, 95% confidence interval 0.89-0.95) were independently associated with reduced odds of belonging to the high symptom burden profile. Health-related quality of life demonstrated a clear gradient across profiles, with the poorest physical and mental health scores in the high symptom burden group (P < .001). Distinct psychosomatic symptom profiles were identified among patients with T2DM. A high symptom burden profile was characterized by greater clinical complexity, diminished psychosocial resources, and substantially impaired quality of life, independent of glycemic control.

MedicineVol. 105(16)
Qinhuangdao Second Hospital (CN), First Hospital of Qinhuangdao (CN)
Beijing University of Chinese Medicine
Openalex Percentile: Top 11%
Diabetes Management and Education
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