Importance: Spousal involvement in diabetes care is recommended theoretically, but effectiveness in clinical settings and among diverse populations is unclear.
Objective: To test the effect of a couple-based intervention among Chinese older patients with type 2 diabetes and their spouses.
Design, setting, and participants: This multicenter randomized clinical trial comprised 2 arms: a couple-based intervention arm and an individual-based control. The trial was conducted across 14 community health care centers in Guangzhou, China, between September 1, 2020, and June 30, 2022, and included patients with confirmed type 2 diabetes aged 55 years or older. Eligible partners were married to or cohabitated with the patients. Patients who previously participated in type 2 diabetes education courses were excluded, as were couples who both had diabetes, to make a clear distinction between patients and spouses. The data were analyzed between January 2023 and April 2024.
Interventions: The interventions consisted of 4 weekly group education sessions followed by behavior change booster telephone calls over 2 months that targeted either patients and spouses (ie, intervention arm) or patients alone (ie, control arm). Follow-up assessments were conducted at 6 and 12 months post intervention.
Main outcomes and measures: The primary outcome was hemoglobin A1c (HbA1c) levels for patients and quality of life for their spouses. Collective efficacy and behaviors were secondary outcomes for both patients and spouses. Group comparisons were conducted using multilevel models based on an intention-to-treat approach, with outcome measures assessed for both patients and their spouses.
Results: A total of 207 couples were included in the study, with 106 randomized to the intervention arm and 101 to the control arm. The mean (SD) age of patients was 66.0 (6.5) years, with 105 (50.7%) being men; spouses had similar demographics. Patients’ HbA1c levels decreased in both arms over the 12-month follow-up, with no significant between-arm differences (β = -0.08; 95% CI, -0.57 to 0.42). Collective efficacy and collective behavior for patients increased after intervention but with a similar magnitude between arms. None of these measures showed between-arm differences among spouses in either arm. In subgroup analysis, decreases in HbA1c levels were constant and lasting in patients with high baseline HbA1c levels (≥8.0%) with a statistically significant difference.
Conclusions and relevance: These findings show that the overall treatment effect of the couple-based intervention was weak. However, the couple-based intervention benefited patients with poor glucose control. Patients’ glucose levels, spouses’ availability to provide support, and couples’ collaborative preferences for mutual or individual diabetes management should be considered in tailoring treatment strategies among older adults with type 2 diabetes.
Trial registration: Chinese Clinical Trial Registry Identifier: ChiCTR1900027137.
Current mortality prediction indexes are mainly based on functional morbidity and comorbidity, with limited information for risk prevention. This study aimed to develop and validate a modifiable lifestyle-based mortality predication index for older adults. Data from 51,688 participants (56% women) aged ≥50 years in 2002 Health and Retirement Study, 2002 English Longitudinal Study of Ageing and 2004 Survey of Health Ageing and Retirement in Europe were used to estimate coefficients of the index with cohort-stratified Cox regression. Models were validated across studies and compared to the Lee index (having comorbid and morbidity predictors). Over an average of 11-year follow-up, 10,240 participants died. The lifestyle index includes smoking, drinking, exercising, sleep quality, BMI, sex and age; showing adequate model performance in internal validation (C-statistic 0.79; D-statistic 1.94; calibration slope 1.13) and in all combinations of internal-external cross-validation. It outperformed Lee index (e.g. differences in C-statistic = 0.01, D-statistic = 0.17, P < 0.001) consistently across health status. The lifestyle index stratified participants into varying mortality risk groups, with those in the top quintile having 13.5% excess absolute mortality risk over 10 years than those in the bottom 50th centile. Our lifestyle index with easy-assessable behavioural factors and improved generalizability may maximize its usability for personalized risk management.