Gender-specific effect of couple-based intervention on behavioral and psychological outcomes of older adults with type 2 diabetes during the COVID-19 partial lockdown in Guangzhou, China

Publication
Healthcare (Basel)

Abstract

This study aimed to evaluate the gender-specific effect of a couple-based intervention on the management behaviors and mental well-being of community-dwelling older adults with type 2 diabetes mellitus during the COVID-19 partial lockdown in Guangzhou. Out of 207 participants involved in a prior randomized controlled trial (Trial no. ChiCTR1900027137), 156 (75%) completed the COVID-19 survey. Gendered differences in management behaviors and depressive symptoms between the couple-based intervention group and the patient-only control group were compared by distance to the high-risk areas cross-sectionally and longitudinally using random intercept models. Cross-sectionally, female patients of the intervention group had more positive behavior change scores (β = 1.53, p = 0.002) and fewer depressive symptoms (β = −1.34, p = 0.02) than the control group. Over time, female patients lived closer to the high-risk areas (<5 km) and showed decreasing depressive symptoms (β = −4.48, p = 0.008) in the intervention group vs. the control group. No statistically significant between-group difference was found for males. Females tended to benefit more from the coupled-based intervention than males did, particularly among these closer to the high-risk areas. Chronic disease management can be better sustained with active spousal engagement.

Keywords: COVID-19; community-based participatory research; couple-based intervention; diabetes management; older adults.

Conghui Yang
Conghui Yang
Master of Science in Epidemiology and Biostatistics, 2020-2023

couple-based intervention for Chinese older adults with type 2 diabetes

Yingxin Xu
Yingxin Xu
Master in Epidemiology and Health Statistics

the dynamic patterns of cognitive decline and physical frailty

Jingyi Zhi
Jingyi Zhi
Master in Epidemiology and Health Statistics

design and evaluation of strategies for the early prevention and intervention management of dementia

Huiqiong Zheng
Huiqiong Zheng
Master of Science in Epidemiology and Biostatistics, 2020-2023

couple-based collaborative management model for chronic diseases

Jing Liao
Jing Liao
Associate professor, Department of Medical Statistics & Epidemiology| SYSU Global Health Institute (SGHI), Sun Yat-sen University, China

Healthy ageing dynamics, examining social networks × health behaviors × multidimensional functioning (physical/cognitive/social). Uses longitudinal cohort modeling (global datasets) to pinpoint socio-determinants, with RCT-validated interventions.