Full
Outline
To identify joint trajectories of pain and depressive symptoms in older adults,to explore the dynamic relationship between them,and to identify common influencing factors,so as to provide a basis for developing intervention strategies.
Based on data from the China Health and Retirement Longitudinal Study(CHARLS) from 2011 to 2020,a total of 2 772 older adults were included.A group-based trajectory modeling(GBTM) dual-trajectory approach was used to analyze the joint developmental trajectories of pain and depression.Logistic regression was used to identify common influencing factors.
Two types of pain trajectories were identified: the few sites-stable group and the multiple sites-increasing group.Three types of depression trajectories were identified:the low level-stable group,the medium level-increasing group,and the high level-increasing group.Dual-trajectory analysis showed that compared with the few sites-stable group,older adults in the multiple sites-increasing group had a higher probability of experiencing the medium level-increasing depression(53.3%) and the high level-increasing depression(89.8%).Compared with the low level-stable group,older adults in the medium level-increasing depression group and the high level-increasing depression group had a higher probability of experiencing the multiple sites-increasing pain(59.8% and 29.5%,respectively).Age,gender,educational level,place of residence,nighttime sleep duration,self-rated health,number of chronic diseases,and activities of daily living were common influencing factors for both pain and depression trajectories(all P<0.05).
Pain and depression trajectories in older adults show a high degree of correlation.Attention should be given to the physical and mental health of older adults aged 60 years,females,those living in rural areas,those with poor self-rated health,low education level,a high number of chronic diseases,poor self-care ability,and insufficient sleep duration.Interventions should be developed based on the joint trajectories and common influencing factors of pain and depression.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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