- Research
- Open access
- Published:
Associations of anti-inflammatory diet with cognitive impairment, physical dysfunction, depressive symptoms, and Multimorbidity in Chinese elderly: a national community-based study
BMC Public Health volume 25, Article number: 1750 (2025)
Abstract
Objective
The health effects of anti-inflammatory diets have been less studied in the Chinese elderly. We aimed to investigate the association of an anti-inflammatory diet on cognitive function, physical function, depressive status, and multimorbidity.
Methods
A total of 11,123 participants aged 65 years and older from the 2017–2019 Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this cross-sectional study. The anti-inflammatory diet was assessed by asking about the frequency of food consumption at around age 60. We used logistic regression to explore the associations of the anti-inflammatory diet with cognitive impairment, physical dysfunction, depressive symptoms, multimorbidity, and restricted cubic spline to determine whether the relationships were nonlinear. Results were expressed using odds ratios (ORs) and 95% confidence intervals (CIs).
Results
The prevalence of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity in the Chinese elderly were 20.73%, 24.95%, 16.13%, and 16.11%, respectively. The restricted cubic spline showed significant negative linear associations between the anti-inflammatory diet and cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity. After multivariate adjustment, compared with the high-frequency anti-inflammatory diet (Q4), the low-frequency group (Q1) had higher odds of cognitive impairment (OR = 1.41, 95%CI: 1.21–1.64), physical dysfunction (OR = 1.23, 95%CI: 1.06–1.42), depressive symptoms (OR = 1.19, 95%CI: 1.01–1.40), and multimorbidity (OR = 1.33, 95%CI: 1.12–1.58).
Conclusions
Regular anti-inflammatory diets may have potential benefits in protecting against cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity, and rational dietary modification may be an effective strategy for preventing aging-related health problems in older adults.
Introduction
Population aging has become a global social trend, and the World Health Organization predicts that the proportion of people aged 60 and over will reach 22% in 2050 [1]. According to the 2023 National Aging Development Bulletin, China’s population aged 60 and over has reached 21.1%, and the population aged 65 and over has reached 15.4% [2], making the aging trend facing China even more severe. As the aging process accelerates, the public health challenges posed by aging are becoming more pressing. Aging is a universal, multifaceted process associated with increased rates of cognitive [3], physical [4], and psychological [5] morbidity. However, most previous studies have tended to focus on a single disease in the older population, ignoring those with two or more chronic diseases at the same time. The prevalence of multimorbidity in the elderly population has been reported in the past literature to be 15–43% [6]. Individuals with coexisting multimorbidities are more likely to die prematurely, increase the frequency of medical visits, and prolong hospitalization than older adults with a single disease [7]. Patients with multimorbidity consume more healthcare resources while reducing an individual’s quality of life [8]. To decrease the prevalence and incidence of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity in older adults, further research on their potential protective factors is needed to inform prevention strategies.
In this context, dietary patterns have emerged as an essential and easily modifiable factor with the potential to mitigate adverse health outcomes and promote healthy aging [9]. While some studies did not find a protective role for anti-inflammatory diets in health outcomes, the majority of opinions insisted on the role of anti-inflammatory diets in combating the aging process and reducing chronic disease [10]. Among these, anti-inflammatory diets [11] have gained increasing attention due to their capacity to reduce systemic inflammation—a key contributor to aging and chronic disease progression [12]. Pro-inflammatory mediators (e.g., cytokines [13] and reactive oxygen species [14]) are implicated in neurodegeneration, physical disability, mood disorders, and the clustering of multiple comorbidities. Notably, anti-inflammatory diets characterized by foods rich in DHA and EPA [15], lecithin [16], isoflavones [17], allicin [18], omega-3 and omega-6 fatty acids [19], beta-glucan [20], and polyphenols [21] have been shown to modulate inflammatory pathways and provide protective effects against these adverse consequences. However, evidence on the effectiveness of such dietary patterns in non-Western populations, particularly among older adults in China, remains scarce.
The purpose of our study was to assess the association between anti-inflammatory diet frequency and health outcomes in Chinese older adults using data from the 7th wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The objectives of our study included: (1) to assess the prevalence of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity; (2) to investigate the dose-response relationship and the extent of associations between anti-inflammatory diets and cognitive functioning, physical functioning, depressive status, and multimorbidity in older adults.
Methods
Study design and participants
The CLHLS is a nationwide cohort study of people aged 65 and older, widely recognized by scholars for its openness and ongoingness [22]. Originally conducted in 1998 and followed up every 2–4 years, the CLHLS utilizes a disproportionate and targeted sampling method to recruit participants in 22 provinces across China, covering 85% of the Chinese population [23]. The survey data were collected face-to-face in a household setting by highly trained public health physicians and community workers [24], covering general demographic characteristics, lifestyle, and health status. More detailed descriptions of the CLHLS design are available in other topics [24,25,26].
Using data from the 7th wave (2017–2019) of the CLHLS (n = 15,874), we applied the following exclusion criteria: participants younger than 65 or older than 105 (n = 500), those with missing data on anti-inflammatory dietary variables (n = 2,873), those lacking information on cognitive functioning, activities of daily living, and depressive status (n = 847), and those with missing data for the majority of covariates (n = 531). After these exclusions, a total of 11,123 participants were included in the final analysis (Fig. 1). The CLHLS was approved by the research ethics committee of Peking University (IRB00001052-13074) and obtained informed consent from all participants.
Assessment of anti-inflammatory diet
The anti-inflammatory diet was measured by 10 items in the Food Frequency Questionnaire (FFQ) [27, 28]: fisheries products, eggs, soybean products, garlic, dairy products, nuts, mushrooms, multivitamin supplements, medicinal plants, and tea. Each item asked about the frequency of consumption at around age 60: “rarely or never,” “not monthly, but sometimes,” “not weekly, but at least once a month,” “not daily, but at least once a week,” and “almost every day,” scored 0–4 points [29] (total score 40). In addition, by investigating dietary patterns in middle and old age, as well as health status in old age, it may be possible to partially avoid the lag effect caused by the reversal of cause and effect.
Assessment of cognitive function, physical function, depressive status, and multimorbidity
Cognitive function was assessed by a 25-item Chinese version of the Mini-Mental State Examination (CMMSE) [30]. The scale covers the dimensions of orientation, naming, attention, computation and graphic reproduction, memory, language, comprehension, and self-coordination [23]. Previous studies have confirmed that cognitive functioning is affected by education level [31], and when the education level is illiterate /primary school /Middle school or above, CMMSE scores below 18 /20 /24 are cognitively impaired, while the others are cognitively normal [32].
Physical function was assessed on a 6-item Katz Activity of Daily Living (ADL) scale [33]. Impairment of daily activities was determined when more than one of bathing, dressing, toileting, indoor transferring, continence, and feeding required assistance [34, 35].
Depressive status was measured on a 10-item Center for Epidemiological Studies Depression Scale (CES-D-10) [36]. Assessment questions covered mood, anxiety, loneliness, and adverse sleep, and responses were categorized into four frequency levels (never or rarely, sometimes, often, and always) with a corresponding score (0–3) assigned to each response [23]. Depressive symptoms were recognized when scores exceeded 10, otherwise, they were considered normal [23, 37].
Participants were defined as multimorbidity when they had two or more types of cognitive impairment, physical dysfunction, and depressive symptoms at the same time [8, 38, 39].
Assessment of covariates
Based on previous research experience [8, 23, 32] and descriptive directed acyclic graph (Figure S1), we included general demographic characteristic variables: sex (male, female), age (< 80, < 90, ≥90), residence (city, town, rural), economic status (good, general, poor), widowed (yes, no); lifestyle behavior variables: sleep duration (< 7 h, 7–8 h, > 8 h), drinking status (current, former, never), smoking status (current, former, never); and health factors: body type (underweight, normal, overweight, obese), and chronic disease (yes, no).
Current marital status was obtained by asking: married (n = 4,979), divorced (n = 32), widowed (n = 6,024), and never married (n = 88). Since the older age group has the highest proportion of widows (54.16%), we used widowed (yes or no) to assess confounding effects. Drinking status was assessed by two questions [40]: “Do you currently drink alcohol” and “Have you ever drank in the past”, both of which were answered “yes” or “no”. We categorized participants’ drinking status into three groups: current, former, and never. Smoking status was also assessed by two questions [40]: “Do you currently smoke” and “Have you ever smoked in the past”, both of which were answered “yes” or “no”. We categorized smoking status into three groups: current, former, and never. Body mass index (BMI) was calculated from weight (kg) and height squared (m2) and is usually categorized into four categories according to Chinese standards [32]: underweight (< 18.5 kg/m²), normal weight (18.5–23.9 kg/m²), overweight (24–27.9 kg/m²) and obese (≥ 28 kg/m²). Chronic diseases were defined as those common to Chinese adults [41]: hypertension, diabetes, heart disease, stroke, cardiovascular disease, bronchitis, emphysema, asthma or pneumonia, cancer, and rheumatism. Participants were identified as having a chronic disease by self-reporting one of these diseases.
Statistical analysis
In describing the baseline characteristics of the populations in the different anti-inflammatory diet groups, the Chi-Square test was used when comparing unordered categorical data, and the Kruskal-Wallis test was used when comparing ordinal data. We used restricted cubic spline to assess trends in the association of the anti-inflammatory diet with cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity, respectively. Additionally, after quartile grouping the anti-inflammatory diet, we analyzed its association with cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity using logistic regression. Results were described by the odds ratios (ORs) and 95% confidence intervals (CIs). We adjusted for sex, age, residence, economic status, widowed, sleep duration, drinking status, smoking status, and body type in multivariate adjustment models. P for trend was obtained by analyzing the anti-inflammatory diet variable as continuous data.
To assess potential effect heterogeneity across population subgroups, we performed stratified analyses for sex, age, sleep duration, drinking status, smoking status, and body type. P for interaction was obtained by comparing likelihood ratios with and without multiplicative interaction terms. Meanwhile, we conducted several sensitivity analyses. Firstly, we included chronic diseases as indicators of multimorbidity. Second, to decrease recall bias, we excluded older adults over 90 years of age. Third, to decrease the influence of patients with severe cognitive impairment on the results, we excluded participants with CMMSE scores below 10. Finally, recognizing the clinical complexity of multimorbidity patterns, we performed exploratory analyses categorizing multimorbidity conditions into four clinically meaningful clusters: cognitive impairment combined with physical dysfunction, cognitive impairment combined with depressive symptoms, physical dysfunction combined with depressive symptoms, and cognitive impairment and physical dysfunction combined with depressive symptoms. All results were analyzed using SPSS version 26, Empowerstats (X & Y Solutions, inc. Boston MA), and R software version 4.4.3. Tests were two-sided with the statistical significance set as P < 0.05.
Results
Of the 11,123 participants recruited, general demographic characteristics showed that 55.16% were female, 36.10% were ≥ 90 years of age, 42.26% resided in rural areas, 47.85% were illiterate, 70.09% had a general economy, and 54.16% were widowed. Lifestyle factors showed 37.03% of those who slept 7–8 h, 73.74% never drank and 69.89% never smoked. Health factors showed that 50.48% were normal body type, and 40.36% suffered from chronic diseases (Table 1).
Basic characteristics of participants according to the anti-inflammatory diet
In the quartile grouping results for the anti-inflammatory diet, compared to the low anti-inflammatory diet group (Q1 and Q2), the high anti-inflammatory diet group (Q3 and Q4) had lower proportions of being female, illiterate, widowed, and chronic disease; additionally, higher proportions of being < 80 years old, living in city, having rich economic, sleeping for 7–8 h, currently drinking and smoking, being overweight or obese (all P < 0.001; Table 1).
Association of anti-inflammatory diet with health outcomes
Health outcomes showed the prevalence of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity were 20.73%, 24.95%, 16.13%, and 16.11%, respectively (Table 2). In the crude model, compared with those on a high-anti-inflammatory diet (Q4), those on a low-anti-inflammatory diet (Q1) had 88% higher odds of cognitive impairment (OR = 1.88, 95%CI 1.65–2.13, P for trend < 0.001), 35% higher odds of physical dysfunction (OR = 1.35, 95%CI 1.20–1.52, P for trend < 0.001), 69% higher odds of depressive symptoms (OR = 1.69, 95%CI 1.47–1.95, P for trend < 0.001), and 79% higher odds of multimorbidity (OR = 1.79, 95%CI 1.55–2.06, P for trend < 0.001). After multivariable adjustment, the odds of health outcomes were reduced: compared with those on a high-anti-inflammatory diet (Q4), those on a low-anti-inflammatory diet (Q1) had 41% higher odds of cognitive impairment (OR 1.41, 95%CI 1.21–1.64, P for trend < 0.001), 23% higher odds of physical dysfunction (OR = 1.23, 95%CI 1.06–1.42, P for trend = 0.006), and 19% higher odds of depressive symptoms (OR = 1.19, 95%CI 1.01–1.40, P for trend = 0.025), and 33% higher odds of multimorbidity (OR = 1.33, 95%CI 1.12–1.58, P for trend = 0.002) (Table 2).
We used multivariate-adjusted restricted cubic spline to assess the association of the anti-inflammatory diet with cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity. Figure 2 showed that the anti-inflammatory diet was negatively and linearly associated with cognitive impairment (P for overall < 0.001, P for nonlinear = 0.266), physical dysfunction (P for overall = 0.001, P for nonlinear = 0.222), depressive symptoms (P for overall < 0.001, P for nonlinear = 0.229), and multimorbidity (P for overall < 0.001, P for nonlinear = 0.541).
Stratification and sensitivity analysis
In stratified analyses, the associations between anti-inflammatory diet and health outcomes did not observe heterogeneity in the stratification of sex, age, sleep duration, drinking status, smoking status, and body type, with P for interaction > 0.05 (Fig. 3). In sensitivity analyses, we found the association between the anti-inflammatory diet and multimorbidity to be robust after including chronic disease as an indicator of multimorbidity. Robust associations were still obtained after excluding participants older than 90 years and participants with CMMSE scores below 10, respectively (Table S1). After categorizing multimorbidity into four groups (cognitive impairment combined with physical dysfunction, cognitive impairment combined with depressive symptoms, physical dysfunction combined with depressive symptoms, and cognitive impairment and physical dysfunction combined with depressive symptoms; prevalence 11.61%, 5.62%, 6.17%, and 3.64%, respectively; Fig. 4), we found a significant association between a low-frequency anti-inflammatory diet (Q1) and each of the multimorbidity subgroups (ORs: 1.49, 1.47, 1.35, 1.46, respectively; Table 3).
Discussion
Main findings
Based on data from the 7th wave of the Chinese Longitudinal Healthy Longevity Survey, we found that the prevalence rates of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity in the Chinese elderly population were 20.73%, 24.95%, 16.13%, and 16.11%, respectively. The restricted cubic spline showed significant negative linear associations between anti-inflammatory diet and cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity, i.e., the lower the intake of anti-inflammatory diet, the worse the health outcomes (compared with the highest frequency of anti-inflammatory diet group (Q4), the lowest frequency of anti-inflammatory diet group (Q1) increased the odds of adverse health outcomes by 41%, 23%, 19%, and 33%, respectively).
Comparison with other studies
Our findings were consistent with those of many existing studies [42,43,44], suggesting that prevention of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity in the elderly population from improved dietary patterns is promising. In terms of cognitive function, a review covering 32 studies showed that the Mediterranean diet (high consumption of fish, vegetables, fruits, nuts, and olive oil), a typical anti-inflammatory dietary pattern, was effective in slowing cognitive decline in older adults [10]. A randomized clinical trial conducted in Spain found that intervention with olive oil and nuts in the Mediterranean diet significantly improved cognitive function in older adults (β = -0.38) [45], particularly in memory and executive function. Furthermore, other research has pointed out that anti-inflammatory diets may play a key role in the prevention of Alzheimer’s disease and other cognitive disorders by reducing the level of inflammation in the brain [46, 47]. Nonetheless, some studies failed to find a significant association between anti-inflammatory diets and cognitive function, which was usually related to small sample sizes or lack of adequate adjustment for confounders [48,49,50]. Therefore, while most studies support the benefits of anti-inflammatory diets on cognitive health, there is a need to further explore the impact of other potential factors such as cultural differences, dietary traditions, or lifestyles for inconsistent results. Our results further suggested that the high anti-inflammatory diet group showed a negative dose-response trend with lower impaired daily activities (i.e., the higher the diet score, the lower the odds of impairment). Even though there were fewer previous studies on physical functioning, they largely support our view. Evidence from prospective studies in the Chicago (n = 809) [9], Boston (n = 1502) [51], and Washington (n = 1696) [44] areas showed a negative linear association between an anti-inflammatory diet and physical dysfunction (HR: 0.75–0.92), which may be related to the fact that anti-inflammatory diets (Mediterranean, Dietary Approaches to Stop Hypertension and Healthy Eating Indices) reduce chronic inflammation in the body and slow aging-related functional decline and dyskinesia. Similarly, the benefits of the anti-inflammatory diet in psychological health, especially depressive symptoms, have been widely supported. A British longitudinal study by Arshad et al. showed that higher adherence to the Mediterranean diet reduced recurrent depressive symptoms by 26% [52]. A meta-analysis by Staudacher et al. observed that strict adherence to diets with a low inflammatory index was negatively associated with the risk of depressive symptoms [53]. These findings were consistent with our results, the reasons for which may include the fact that diets rich in anti-inflammatory components (e.g., polyphenols, vitamins, and dietary fiber) modulate the inflammatory process, modulate the gut microbiome and the function of the hypothalamic-pituitary-adrenal axis, and reduce oxidative stress and neurotransmitter release [53].
In our study, the low anti-inflammatory diet was associated with higher odds of multimorbidity, including co-morbidities of cognitive impairment, physical dysfunction, and depressive symptoms. Previous research on cognitive-physical-psychological co-morbidity was relatively sparse, but several studies have suggested that an anti-inflammatory diet may help reduce brain damage, including cardiovascular and cognitive damage [54, 55]. A large cohort study from UK Biobank (n = 102424, median follow-up 10.23 years) showed that a low-inflammatory diet was associated with a lower and slower cumulative risk of multiple morbidities (especially in participants aged > 60 years; HR: 0.84) and that a low-inflammatory diet al.so prolonged the survival of chronically unwell people (0.81 years) [56]. Age-related chronic and low-grade inflammation involves not only cellular senescence and aging of the immune system [57], but is also a marker of multimorbidity and mortality risk. Combined with the results of previous studies [56, 58], adherence to an anti-inflammatory diet in older adults may promote health and prolong life.
Potential mechanisms
The observed associations between an anti-inflammatory diet and improved health outcomes—reduced odds of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity—can be explained through several biological and psychosocial pathways. Firstly, an anti-inflammatory diet is rich in nutrients such as omega-3 fatty acids, polyphenols, and vitamins that inhibit the production of pro-inflammatory cytokines (e.g. IL-1β, IL-6, TNF-α, CRP) [13]. The reduction in systemic inflammation relieves neuroinflammation, improves cognitive function, and prevents inflammation-induced muscle atrophy and physical dysfunction. Secondly, substances such as protein and dietary fiber in anti-inflammatory diets improve gut microbial composition and increase beneficial bacteria (e.g., Bifidobacteria and Lactobacillus), which enhance neurotransmitter production (e.g., 5-hydroxytryptophan, which is critical for mood regulation and cognitive performance) while reducing intestinal permeability and systemic inflammation [11]. Thirdly, antioxidants found in anti-inflammatory diets (e.g., green tea polyphenols and vitamin E) neutralize reactive oxygen species (ROS), reduce activation of pro-inflammatory pathways, and improve mitochondrial function, markers of oxidative stress, and body antioxidant effects [14]. Fourth, an anti-inflammatory diet helps to modulate HPA axis activity, lower cortisol levels, increase stress resistance, and promote mental health [59].
Strengths and limitations
Our study reinforces the evidence from previous research while adding to the understanding of anti-inflammatory diets in the context of aging populations. By focusing on the Chinese elderly, we also address a significant gap in the literature, as most existing studies have been conducted in Western populations. This cultural and dietary diversity enhances the generalizability of our findings and highlights the universal applicability of anti-inflammatory dietary patterns in promoting health and longevity. Furthermore, our study expands on previous work by integrating multiple health domains—cognitive function, physical function, and depressive status—into a single framework, allowing for a comprehensive understanding of the role of diet in aging.
Despite the large sample size and data from a broad group of Chinese older adults, this study still had some limitations. Firstly, this study utilized a cross-sectional design, and although we adjusted for multiple confounding variables through rigorous statistical control, future longitudinal studies are needed to validate these associations. Second, although we used the Food Frequency Questionnaire (FFQ) to measure participants’ intake of an anti-inflammatory dietary pattern around the age of 60 years, self-reported dietary data may be subject to some degree of recall bias, particularly in the cognitively impaired older adult population, whose memory and reporting accuracy may be compromised. Third, as only 10 anti-inflammatory dietary factors were included in the CLHLS questionnaire, this limited our assessment of other dietary factors such as vegetables and fruits. In the future, we will measure the health effects of anti-inflammatory diets using a more comprehensive dietary assessment approach. Fourth, although we considered a wide range of factors affecting diet and health, these variables were collected along with the outcome variables, and information on covariates around age 60 could not be obtained. In addition, due to the limitations of the CLHLS questionnaire, other possible confounding variables (e.g., genetic factors and changes in health behaviors) have not been fully considered. Finally, the participants in this study were Chinese adults aged 65 years or older, and it is impossible to generalize the findings to other regions and other age groups.
Conclusions
We found that people who followed a low anti-inflammatory diet had higher odds of cognitive impairment, physical dysfunction, depressive symptoms, and multimorbidity compared with those who followed a high anti-inflammatory diet. Our study provided new evidence for the promotion of anti-inflammatory diets as an intervention to improve the health of the elderly population, especially in the context of an aging society, where rational dietary modifications may be an effective strategy for the prevention of aging-related health problems in older adults. Future studies need to further explore the mechanisms of action of anti-inflammatory diets and their effects in different populations to optimize dietary intervention programs and promote public health policies.
Restricted Cubic Spline for the association between anti-inflammatory diet and health outcomes. Note: (A) Anti-inflammatory diet with cognitive impairment, (B) Anti-inflammatory diet with physical dysfunction, (C) Anti-inflammatory diet with depressive symptoms, (D) Anti-inflammatory diet with multimorbidity. A was adjusted for sex (male, female), age (< 80, < 90, ≥90), residence (city, town, rural), economic status (good, general, poor), widowed (yes, no), sleep duration (< 7 h, 7–8 h, > 8 h), drinking status (current, former, never), smoking status (current, former, never), body type (underweight, normal, overweight, obese). B, C, and D were further adjusted for education (illiterate, primary school, middle school or above)
Association between anti-inflammatory diet and health outcomes, stratification analyses. Adjusted for sex (male, female), age (< 80, < 90, ≥90), residence (city, town, rural), economic status (good, general, poor), widowed (yes, no), sleep duration (< 7 h, 7–8 h, > 8 h), drinking status (current, former, never), smoking status (current, former, never), body type (underweight, normal, overweight, obese). Further adjustment of education (illiterate, primary school, middle school or above) in the analysis of anti-inflammatory diets with depressive symptoms, physical dysfunction and multimorbidity. Except for the factor itself
Data availability
All data used in this study were accessed from the publicly available Chinese Longitudinal Healthy Longevity Survey (https://opendata.pku.edu.cn/dataverse/CHADS).
References
Tian L, Ding P, Kuang X, et al. The association between sleep duration trajectories and successful aging: a population-based cohort study. BMC Public Health. 2024;24(1):3029. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-024-20524-7.
Statistical CommuniquÉ of the People’s Republic of China on the 2023 National Economic and Social Development. [https://www.stats.gov.cn/english/PressRelease/202402/t20240228_1947918.html]
Harada CN, Natelson Love MC, Triebel KL. Normal cognitive aging. Clin Geriatr Med. 2013;29(4):737–52. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cger.2013.07.002.
Wilkinson DJ, Piasecki M, Atherton PJ. The age-related loss of skeletal muscle mass and function: measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. Ageing Res Rev. 2018;47:123–32. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.arr.2018.07.005.
Lorenzo EC, Kuchel GA, Kuo CL, et al. Major depression and the biological hallmarks of aging. Ageing Res Rev. 2023;83:101805. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.arr.2022.101805.
Fortin M, Stewart M, Poitras ME, et al. A systematic review of prevalence studies on Multimorbidity: toward a more uniform methodology. Ann Fam Med. 2012;10(2):142–51. https://doiorg.publicaciones.saludcastillayleon.es/10.1370/afm.1337.
Skou ST, Mair FS, Fortin M, et al. Nat Rev Dis Primers. 2022;8(1):48. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/s41572-022-00376-4. Multimorbidity.
Ni Y, Zhou Y, Kivimäki M, et al. Socioeconomic inequalities in physical, psychological, and cognitive Multimorbidity in middle-aged and older adults in 33 countries: a cross-sectional study. Lancet Healthy Longev. 2023;4(11):e618–28. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/s2666-7568(23)00195-2.
Agarwal P, Wang Y, Buchman AS, et al. Dietary patterns and Self-reported incident disability in older adults. J Gerontol Biol Sci Med Sci. 2019;74(8):1331–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/gerona/gly211.
Petersson SD, Philippou E, Mediterranean, Diet. Cognitive function, and dementia: A systematic review of the evidence. Adv Nutr. 2016;7(5):889–904. https://doiorg.publicaciones.saludcastillayleon.es/10.3945/an.116.012138.
Cristofori F, Dargenio VN, Dargenio C, et al. Anti-Inflammatory and Immunomodulatory effects of probiotics in gut inflammation: A door to the body. Front Immunol. 2021;12:578386. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fimmu.2021.578386.
Singh A, Schurman SH, Bektas A, et al. Aging and inflammation. Cold Spring Harb Perspect Med. 2024;14(6). https://doiorg.publicaciones.saludcastillayleon.es/10.1101/cshperspect.a041197.
Jenab A, Roghanian R, Emtiazi G. Bacterial natural compounds with Anti-Inflammatory and Immunomodulatory properties (Mini Review). Drug Des Devel Ther. 2020;14:3787–801. https://doiorg.publicaciones.saludcastillayleon.es/10.2147/dddt.S261283.
Winiarska-Mieczan A, Kwiecień M, Jachimowicz-Rogowska K, et al. Anti-Inflammatory, antioxidant, and neuroprotective effects of Polyphenols-Polyphenols as an element of diet therapy in depressive disorders. Int J Mol Sci. 2023;24(3). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/ijms24032258.
Mozaffarian D, Rimm EB. Fish intake, contaminants, and human health: evaluating the risks and the benefits. JAMA. 2006;296(15):1885–99. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jama.296.15.1885.
Zhao F, Li R, Liu Y, et al. Perspectives on lecithin from egg yolk: extraction, physicochemical properties, modification, and applications. Front Nutr. 2022;9:1082671. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fnut.2022.1082671.
Yu J, Bi X, Yu B, et al. Isoflavones: Anti-Inflammatory benefit and possible caveats. Nutrients. 2016;8(6). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu8060361.
El-Saber Batiha G, Magdy Beshbishy A, L GW, et al. Chemical constituents and Pharmacological activities of Garlic (Allium sativum L.): A review. Nutrients. 2020;12(3). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu12030872.
Balić A, Vlašić D, Žužul K, et al. Omega-3 versus Omega-6 polyunsaturated fatty acids in the prevention and treatment of inflammatory skin diseases. Int J Mol Sci. 2020;21(3). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/ijms21030741.
De Marco Castro E, Calder PC, Roche HM. β-1,3/1,6-Glucans and immunity: state of the Art and future directions. Mol Nutr Food Res. 2021;65(1):e1901071. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/mnfr.201901071.
Musial C, Kuban-Jankowska A, Gorska-Ponikowska M. Beneficial properties of green tea catechins. Int J Mol Sci. 2020;21(5). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/ijms21051744.
Wang L, Xian X, Zhou M, et al. Anti-Inflammatory diet and Protein-Enriched diet can reduce the risk of cognitive impairment among older adults: A nationwide Cross-Sectional research. Nutrients. 2024;16(9). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu16091333.
Ding R, Ding P, Tian L, et al. Associations between sleep duration, depression status, and cognitive function among Chinese elderly: A community-based study. J Affect Disord. 2024;366:273–82. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jad.2024.08.200.
Bai W, Zhang J, Smith RD, et al. Inter-relationship between cognitive performance and depressive symptoms and their association with quality of life in older adults: A network analysis based on the 2017–2018 wave of Chinese longitudinal healthy longevity survey (CLHLS). J Affect Disord. 2023;320:621–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jad.2022.09.159.
Ding R, Ding P, Tian L, et al. Sleep duration trajectories and all-cause mortality among Chinese elderly: A community-based cohort study. BMC Public Health. 2023;23(1):1095. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-023-15894-3.
Lv X, Li W, Ma Y, et al. Cognitive decline and mortality among community-dwelling Chinese older people. BMC Med. 2019;17(1):63. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12916-019-1295-8.
Yuan S, Bruzelius M, Damrauer SM, et al. Anti-inflammatory diet and incident peripheral artery disease: two prospective cohort studies. Clin Nutr. 2022;41(6):1191–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.clnu.2022.04.002.
Grosso G, Laudisio D, Frias-Toral E, et al. Anti-Inflammatory nutrients and Obesity-Associated Metabolic-Inflammation: state of the Art and future direction. Nutrients. 2022;14(6). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu14061137.
Qi R, Yang Y, Sheng B, et al. Plant-Based diet indices and their association with frailty in older adults: A CLHLS-Based cohort study. Nutrients. 2023;15(24). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu15245120.
Ren Z, Li Y, Li X, et al. Associations of body mass index, waist circumference and waist-to-height ratio with cognitive impairment among Chinese older adults: based on the CLHLS. J Affect Disord. 2021;295:463–70. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jad.2021.08.093.
Du C, Miyazaki Y, Dong X, et al. Education, social engagement, and cognitive function: A Cross-Lagged panel analysis. J Gerontol B Psychol Sci Soc Sci. 2023;78(10):1756–64. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/geronb/gbad088.
Liang F, Fu J, Turner-McGrievy G, et al. Association of body mass index and Plant-Based diet with cognitive impairment among older Chinese adults: A prospective, nationwide cohort study. Nutrients. 2022;14(15). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu14153132.
Huang X, Zhang M, Fang J. Growth patterns of activity of daily living disability and associated factors among the Chinese elderly: A twelve-year longitudinal study. Arch Gerontol Geriatr. 2022;99:104599. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.archger.2021.104599.
Yang Y, Du Z, Liu Y, et al. Disability and the risk of subsequent mortality in elderly: a 12-year longitudinal population-based study. BMC Geriatr. 2021;21(1):662. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12877-021-02611-1.
Liu L, Zheng Y, Tian J, et al. Disparities in overall survival by varying duration of disability in activities of daily living in older people: A population-based cohort from Chinese longitudinal healthy longevity survey (CLHLS). J Nutr Health Aging. 2024;28(1):100022. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jnha.2023.100022.
Pei Z, Zhang J, Qin W, et al. Association between dietary patterns and depression in Chinese older adults: A longitudinal study based on CLHLS. Nutrients. 2022;14(24). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu14245230.
Fu H, Si L, Guo R. What is the optimal Cut-Off point of the 10-Item center for epidemiologic studies depression scale for screening depression among Chinese individuals aged 45 and over?? An exploration using latent profile analysis. Front Psychiatry. 2022;13:820777. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fpsyt.2022.820777.
Du M, Liu M, Liu J. Effects of physical and psychological Multimorbidity on the risk of dementia: multinational prospective cohorts and a meta-analysis. BMC Med. 2024;22(1):423. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12916-024-03642-2.
Zhou Y, Kivimäki M, Yan LL, et al. Associations between socioeconomic inequalities and progression to psychological and cognitive multimorbidities after onset of a physical condition: a multicohort study. EClinicalMedicine. 2024;74:102739. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.eclinm.2024.102739.
Zhu A, Chen H, Shen J, et al. Interaction between plant-based dietary pattern and air pollution on cognitive function: a prospective cohort analysis of Chinese older adults. Lancet Reg Health West Pac. 2022;20:100372. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.lanwpc.2021.100372.
Healthy lifestyle and life expectancy free of major chronic diseases at age 40 in China. Nat Hum Behav. 2023;7(9):1542–50. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/s41562-023-01624-7.
Román GC, Jackson RE, Gadhia R, et al. Mediterranean diet: the role of long-chain ω-3 fatty acids in fish; polyphenols in fruits, vegetables, cereals, coffee, tea, Cacao and wine; probiotics and vitamins in prevention of stroke, age-related cognitive decline, and alzheimer disease. Rev Neurol (Paris). 2019;175(10):724–41. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.neurol.2019.08.005.
Yin W, Löf M, Chen R, et al. Mediterranean diet and depression: a population-based cohort study. Int J Behav Nutr Phys Act. 2021;18(1):153. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12966-021-01227-3.
Guo J, Schupf N, Cruz E, et al. Association between mediterranean diet and functional status in older adults: A longitudinal study based on the Washington Heights-Inwood Columbia aging project. J Gerontol Biol Sci Med Sci. 2022;77(9):1873–81. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/gerona/glac011.
Valls-Pedret C, Sala-Vila A, Serra-Mir M, et al. Mediterranean diet and Age-Related cognitive decline: A randomized clinical trial. JAMA Intern Med. 2015;175(7):1094–103. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jamainternmed.2015.1668.
Picone P, Girgenti A, Buttacavoli M, et al. Enriching the mediterranean diet could nourish the brain more effectively. Front Nutr. 2024;11:1489489. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fnut.2024.1489489.
Khoshdooz S, Bonyad A, Bonyad R, et al. Role of dietary patterns in older adults with cognitive disorders: an umbrella review utilizing neuroimaging biomarkers. NeuroImage. 2024;303:120935. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.neuroimage.2024.120935.
Crichton GE, Bryan J, Hodgson JM, et al. Mediterranean diet adherence and self-reported psychological functioning in an Australian sample. Appetite. 2013;70:53–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.appet.2013.06.088.
Olsson E, Karlström B, Kilander L, et al. Dietary patterns and cognitive dysfunction in a 12-year follow-up study of 70 year old men. J Alzheimers Dis. 2015;43(1):109–19. https://doiorg.publicaciones.saludcastillayleon.es/10.3233/jad-140867.
Vercambre MN, Grodstein F, Berr C, et al. Mediterranean diet and cognitive decline in women with cardiovascular disease or risk factors. J Acad Nutr Diet. 2012;112(6):816–23. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jand.2012.02.023.
Flanagan KD, Cornell DJ, Mangano KM, et al. Adherence to mediterranean, dietary approaches to stop hypertension and healthy eating indices are associated with lower risk of disability among Puerto Rican adults from the longitudinal Boston Puerto Rican health study. Am J Clin Nutr. 2024;120(2):389–97. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ajcnut.2024.05.030.
Arshad H, Recchia D, Head J, et al. Adherence to MIND diet and risk of recurrent depressive symptoms: prospective Whitehall II cohort study. Nutrients. 2024;16(23). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu16234062.
Staudacher HM, Teasdale S, Cowan C, et al. Diet interventions for depression: review and recommendations for practice. Aust N Z J Psychiatry. 2024;48674241289010. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/00048674241289010.
Godos J, Galvano F. Insights on mediterranean diet from the SUN cohort: cardiovascular and cognitive health. Nutrients. 2020;12(5). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu12051332.
Parilli-Moser I, Domínguez-López I, Trius-Soler M, et al. Consumption of peanut products improves memory and stress response in healthy adults from the ARISTOTLE study: A 6-month randomized controlled trial. Clin Nutr. 2021;40(11):5556–67. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.clnu.2021.09.020.
Maimaitiyiming M, Yang R, Da H, et al. The association of a low-inflammatory diet with the trajectory of Multimorbidity: a large community-based longitudinal study. Am J Clin Nutr. 2024;120(5):1185–94. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ajcnut.2024.08.029.
Malcomson FC, Mathers JC. Nutrition and ageing. Subcell Biochem. 2018;90:373–424. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/978-981-13-2835-0_13.
Vega-Cabello V, Struijk EA, Caballero FF, et al. Diet quality and Multimorbidity in older adults: A prospective cohort study. J Gerontol Biol Sci Med Sci. 2024;79(5). https://doiorg.publicaciones.saludcastillayleon.es/10.1093/gerona/glad285.
Carvalho KMB, Ronca DB, Michels N, et al. Does the mediterranean diet protect against Stress-Induced inflammatory activation in European adolescents?? The HELENA study. Nutrients. 2018;10(11). https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu10111770.
Acknowledgements
Thanks to the participants and researchers from the Chinese Longitudinal Healthy Longevity Survey.
Funding
This work was funded by the Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province (2022E10022), Science and Technology Plan Project of Wenzhou Municipality (Y2023326), Medicine and Health Technology Project of Zhejiang Province (2025KY1511). The funder had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
Author information
Authors and Affiliations
Contributions
Design, D.H. and R.D.; Conduct/data collection, C.L. and P.D.; Data analysis, D.H. and R.D.; Drafted manuscript, D.H., C.L., P.D., and R.D.; Revised manuscript, C.L., P.D. All authors have read and agreed to the published version of the manuscript.
Corresponding authors
Ethics declarations
Institutional review board statement
The CLHLS was approved by the research ethics committee of Peking University (IRB00001052-13074).
Informed consent
Informed consent was obtained from all subjects involved in the study.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Huang, D., Ding, P., Ding, R. et al. Associations of anti-inflammatory diet with cognitive impairment, physical dysfunction, depressive symptoms, and Multimorbidity in Chinese elderly: a national community-based study. BMC Public Health 25, 1750 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-025-23013-7
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-025-23013-7