Abstract: Objective To evaluate the achievement of healthy aging goals in the elderly population of Conghua District, Guangzhou, and to explore differences in the achievement of these goals across various subgroups, providing a scientific basis for developing targeted health management strategies to promote healthy aging. Methods From July to September 2023, a cluster random sampling method was used to survey elderly individuals aged ≥60 years who underwent health assessments at the Aotou Town Central Health Center, Longtan Health Center, and Wenquan Town Health Center in Conghua District, Guangzhou. Logistic regression was used to assess the achievement of five health indicators (systolic blood pressure, maximum vital capacity, serum creatinine, fasting blood glucose, heart rate) and overall healthy aging status, adjusted for age and gender. Multivariate logistic regression models were employed to analyze differences in the achievement of healthy aging goals across subgroups (gender, age, annual household income, living alone status). Results A total of 1 455 elderly individuals were included, with 635 males (43.64%). The overall achievement of healthy aging goals, adjusted for age and gender, was 9.46% (95% CI: 7.92%-11.26%). Fasting blood glucose had the highest compliance rate (39.14%, 95% CI: 36.64%-41.69%), while systolic blood pressure had the lowest (27.57%, 95% CI: 25.31%-29.95%). Subgroup analysis revealed significantly lower compliance in individuals aged ≥70 years, with an annual household income ≥30 000 yuan, and those living alone (P<0.05). No significant differences were observed in gender subgroups or across all subgroups regarding the achievement of heart rate and fasting blood glucose targets (P>0.05). Conclusions The overall achievement of healthy aging goals in the elderly population of Conghua District, Guangzhou, is low. Elderly individuals who are older, have middle-to-high incomes, or live alone face greater challenges in achieving these goals. Personalized health support strategies tailored to the characteristics of different subgroups are needed to enhance the overall health and quality of life of the elderly.

Key words: Healthy aging, Elderly population, Health indicators, Subgroup analysis, Health management