Skip to main content
Download PDF

Association between positive control in self-perceptions of aging and motoric cognitive risk syndrome among Chinese community-dwelling older adults: a cross-sectional study

BMC Geriatrics volume 23, Article number: 211 (2023) Cite this article

Abstract

Background

Self-perceptions of aging (SPA) are important psychosocial factors that lead to a wide range of outcomes including dementia. However, the relationships between positive SPA and motoric cognitive risk syndrome (MCR) which is a predementia syndrome are still unknown. This study aimed to reveal the associations of positive control and aging awareness of SPA with the risk of MCR and its components.

Methods

A cross-sectional design was conducted among 1137 Chinese community-dwelling older adults. Positive control and aging awareness were defined by two dimensions of SPA (Positive control and Timeline chronic). MCR was determined according to definition. Multivariable logistic regression was used to examine the associations.

Results

The overall prevalence of MCR was 11.5% (mean age = 71.62 ± 5.22). After adjusting for depression, anxiety, and cognitive function, positive control was associated with reduced risk of MCR (OR = 0.624, 95% CI 0.402–0.969, P = 0.036), subjective cognitive complaints (SCC) (OR = 0.687, 95% CI 0.492–0.959, P = 0.027), and gait speed (GS) (OR = 0.377, 95% CI 0.197–0.720, P = 0.003), respectively. Aging awareness was merely related to increased risk of MCR (OR = 1.386, 95% CI 1.062–1.810, P = 0.016).

Conclusions

This study highlights the crucial associations of positive control and aging awareness with MCR and its components. Our results emphasize that positive belief in control and adaptive aging awareness might be promising targets for preventing MCR.

Peer Review reports

Introduction

The aging population is increasing worldwide, and dementia poses a considerable challenge to all countries, including China, where individuals with dementia account for about 25% of the global dementia population [1]. Exploring pre-dementia syndrome provides an essential and feasible strategy for dementia prevention. Motoric cognitive risk syndrome (MCR) is a pre-dementia syndrome with the concurrence of subjective cognition complaints (SCC) along with slow gait speed (GS) in the absence of dementia and age-related mobility [2]. Given that MCR was considered as a strong predictor of cognitive impairment, and dementia [3, 4], it could be used as a powerful and easy tool for the early identification of individuals at risk of dementia in various clinical and community settings [5]. Furthermore, MCR increased the risk of falls and mortality [6, 7]. Thus, it is necessary to explore factors associated with MCR.

Several risk factors of MCR have been explored including older age, education, depression, and cardiovascular factors such as diabetes and stroke [7, 8]. However, only a few studies examined the psychological aspects of MCR. For example, higher neuroticism was linked to a higher risk of MCR [9], and openness was related to a lower risk of MCR [10]. Purpose in life and tangible social support were associated with lower MCR risks, respectively [11, 12]. Except for factors mentioned above, other psychosocial factors such as self-perceptions of aging (SPA) might be involved, for abundant evidence has been reported SPA was linked to components of MCR. Furthermore, exploring relations between SPA and MCR could potentially provide targets for MCR intervention, given SPA is malleable [13].

SPA could be explored from several perspectives, such as subjective age, views of aging, aging identities [14]. Evidence showed direct or indirect relationships between SPA, subjective cognitive complaints, and objective cognitive function. For example, negative views of aging were associated with subjective cognitive complaints in adults aged 50 or older [15], and the latter further aggravated negative thoughts of aging [16], forming a vicious cycle. Perceptions of aging modulated the relationship between frailty and cognitive decline, including global cognition, executive function, and attention [17].

Of note, more direct evidence about associations between SPA and MCR was from Stephan’ s study [18]. He found subjective age, a similar construct of SPA, increased about 60% likelihood of MCR and about 50% higher risk of incident MCR over a median follow-up 7.7 years. Since SPA is a relatively stable, and multiple-dimensional construct, subjective age fluctuated with situational context examined by a single question “Many people feel older or younger than they actually are” or “how old do individuals feel” [18, 19]. The associations between SPA and MCR was still unknown. Due to its excellent psychometric characteristics, multi-faced SPA could be measured using Brief version of Aging Perception Questionnaires (B-APQ) [20, 21]. Positive rather than negative control of SPA related to short delay memory, processing speed, and executive function in older adulthood [22]. Our previous study also found that older adults with lower positive control showed a cognitive decline [23]. Hence, we hypothesized that community-dwelling older adults with higher positive control over aging experience was associated with reduced risk of SCC and MCR.

Concerning the associations between SPA and gait speed, individuals feeling younger were associated with faster walking speed and reduced risk of walking speed decline, which is a vital predictor of mortality and cognitive decline [24]. Priming experiment also showed reinforcement of positive rather than negative views of aging significantly increased walking speed [25]. Thus, we hypothesized that community-dwelling older adults with positive aging experience reduce the risk of slow GS and MCR. The cross-sectional analysis found all five domains of SPA in APQ including aging awareness (Timeline Chronic dimension), and positive control were directly associated with walking speed after adjusting confounders. However, longitudinal analyses demonstrated that merely negative control and consequences domain rather than positive control over social relationships were related to changes in walking speed measured by Time Up and Go [26], rendering an elusive gap about the associations between positive or negative control with MCR. Evidence also showed that positive but not negative control exerted effects on functional disability, and depression which was also important influencing factors of MCR [27]. Thus, we hypothesized positive control was associated with MCR in the present study.

Findings showed that negative attitudes toward own aging in older adults predicted cognitive change over 20 years depending on depression [16]. Associations between anxio-depressive disorders, depression and MCR were found in large population-based cohort studies regardless of age group [28, 29]. Moreover, anxiety impacted processes of storage, retrieval, and visual recognition memory in older adults with subjective and cognitive complaints [30]. Thus, depression and anxiety were involved as psychological confounders.

This study examines the relationships between positive control, aging awareness, and MCR in Chinese community-dwelling older adults to provide interventional targets for community health promotors to prevent MCR.

Methods

Study population

In this cross-sectional study, all 1137 participants aged 65 years and older were recruited from a community health care center for routine physical examination in Xinxiang city of China from March 2021 to July 2021.100 participants were deleted due to more than 20% missing data in the survey, leading to a recruited rate of 91.9%. Trained interviewers collected data by face to face. The present study was approved by the Institutional Review Boards and Ethics Committee of Xinxiang Medical University (XYLL-2021004).

Measurement

Measure of socio-demographic characteristics

Demographic factors included age, gender, marital status, education, living arrangement, monthly income, body mass index (BMI), lifestyle including diet, smoking, drinking history, and chronic illness, mainly including hypertension and diabetes mellitus. Living arrangement was examined by a question “Who do you usually live with?” and responses included living with family (sprouse, children and house maid) and living alone.

Definition of MCR

MCR was defined as a syndrome that combined slow gait speed (GS) and subjective cognitive complaints (SCC) without dementia and mobility disability following the criteria proposed by Verghese [2]. According to the criteria of MMSE, we excluded participants diagnosed with dementia. Mobility disability was excluded through self-reported difficulties in dressing, eating, walking, bathing, or showering, getting in or out of bed and using the toilet [31]. Subjective cognitive complaints were defined as self-reported or a third person reported cognitive disturbances, linked to feelings of persistent cognitive decline compared with a previously normal cognitive performance, without any deficits on objective testing [32]. The subjective cognitive complaints were assessed by asking “Do you have more difficulty to remember things?” Concerning slow gait speed, participants were asked to walk through a 4- meters long walking route in an open space. Slow gait speed was calculated by the average velocity of ≤ 1 SD below the age-and sex-specific population mean [4]. The following showed the cutoff value of slow GS: for female elderly aged ≤ 69, ≤ 0.78 m/s; female elderly aged 70–74, ≤ 0.72 m/s; female elderly aged ≥ 75, ≤ 0.61 m/s; For male elderly aged ≤ 69, ≤ 0.78 m/s; male elderly aged 70–74, ≤ 0.71 m/s; male elderly aged ≥ 75, ≤ 0.66 m/s.

Measurement of positive control and aging awareness in SPA

Positive control and aging awareness were assessed using two subscales of 17 items- B-APQ [21]. 3-itmes of Timeline Chronic domain represents constant aging awareness (I always classify myself as old; I am always aware of the fact that I am getting older; I feel my age in everything that I do), and another 3-items of Positive Control represents the belief that one can positively control over aspects of aging (The quality of my social life in later years depends on me; The quality of my relationships with others in later life depends on me; whether I continue to live life to the full depends on me); The Cronbach’s α coefficient of positive control, aging awareness in the study was 0.852, 0.719, respectively.

Assessment of depression and anxiety

Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms over the last two weeks [23]. Higher scores indicate higher depressive symptoms. The Cronbach’s α coefficient in the study was 0.720. Anxiety symptoms were examined by Chinese version of Generalized Anxiety Disorder scale-7 item (GAD-7) over the past 2 weeks. Higher scores suggest higher anxiety symptoms. The Cronbach’s α coefficient in the study was 0.872.

Assessment of cognitive function

The Chinese version of Mini-Mental State Examination (MMSE) was used to evaluate global cognitive function with a total score of 30. Concerning the normal cognitive function, for participants with middle school and higher education, the score should exceed 24; for those with primary school education, the score should exceed 20, and for those illiteracy, the score was set at 17 [33]. Combined with MMSE and physical examination records, older adults with dementia were excluded. Normal cognitive function was also seen as an important covariable that should be adjusted in revealing the relationships between positive control, aging awareness, and MCR. The Cronbach’s α coefficient in the study was 0.612.

Statistical analysis

SPSS 24.0 statistical software (IBM Corporation, Armonk, NY, USA) was used to perform statistical data. Data with non-normal distribution were expressed as mean rank. The Chi-square test and Mann–Whitney U test were used to compare between groups. Multivariable logistic regression analysis was used to estimate the odds ratio (OR) of association between positive control, aging awareness, and MCR and its components with 95% confidence interval (95% CI). The relatively healthy group was used as the reference group. Relatively healthy was defined here as the absence of MCR or subjective cognitive complaints or slow gait speed. The level of significance was set at 0.05.

Results

Characteristics of demographic variables and the prevalence of MCR

The mean age of participants was 71.62 ± 5.22 years. As shown in Fig. 1, of the 1137 community-dwelling older adults in the Central area of China, 131 (11.5%) participants had MCR; 774 (68.1%) participants had subjective cognitive complaints alone; 27 (2.4%) participants had slow gait speed alone, and 205 maintained relatively healthy (18%). As shown in Table 1, more females (n = 684, 60.2%) than males (n = 453, 39.8%) participated in this study, but no significant difference (50.2% and 49.8%, respectively) was observed in the relatively healthy group. As shown in Fig. 1 and Table 1, in the MCR group (11.5%, totally) and SCC group (68.1%), there were more female elderly (7%, and 42.7%, respectively). Compared with older adults in the relatively healthy group, older adults with MCR were more widows or divorced, had a lower educational level, had a vegetarian diet and were more likely to have a drinking history(P ≤ 0.05).

Fig. 1
figure 1

The prevalence of MCR and its components according to gender. MCR: motoric cognitive risk syndrome; SCC: subjective cognitive complaints; GS: gait speed

Full size image
Table 1 Participants’ characteristics in Healthy, MCR, SCC, and GS group in Chinese community-dwelling adults (n = 1137)
Full size table

Comparison of related variables between different groups

Table 2 shows participants in the MCR group were the oldest (73.19 ± 6.42 years), had the highest level of depressive and anxiety symptoms (mean rank = 646.22, 619.78, respectively), and had the lowest level of cognitive function (mean rank = 439.69) among groups. Older adults in the MCR group had the highest level of aging awareness (3.51 ± 0.80) years and a moderate level of positive control (mean rank = 534.61). In contrast, the relatively healthy group and GS group had the highest and lowest level of positive control (mean rank = 606.08, 481.70, respectively).

Table 2 Characteristics and comparing among groups with healthy, MCR, SS, and GS (n = 1137)
Full size table

As shown in Table 3, the relatively healthy group served as the reference group and the multivariable logistic regression results in Model 3 showed that aging awareness and depression were associated with increased risk of MCR (OR = 1.386, 95% CI 1.062-1.810, P = 0.016; OR = 1.195, 95% CI 1.045-1.368, P = 0.009, respectively). Cognitive function was associated with reduced risk of MCR (OR = 0.872, 95% CI 0.775-0.981, P = 0.022). Similarly to results in crude model 1 and adjusted model 2, positive control was significantly associated with decreased risk of MCR, SCC and GS, respectively (OR = 0.624, 95% CI 0.402-0.969, P = 0.036; OR = 0.687, 95% CI 0.492-0.959, P = 0.027; OR = 0.377, 95% CI 0.197-0.720, P = 0.003, respectively) in model 3. Positive control was found an important protective factor after adjusting for significant variables examined in univariable analysis such as education, marital status, diet, depression, cognitive function, indicating that positive control might become an important target for preventive intervention of both SCC, GS, and MCR. Aging awareness was only related to increased risk of MCR but not its components.

Table 3 Multivariable analysis of the association of positive control, aging awareness in SPA with MCR, SCC, and GS (n = 1137)
Full size table

Additionally, compared with a vegetarian diet, a balanced diet was associated with reduced risk of MCR (OR = 0.469, 95% CI 0.287-0.766, P = 0.002) and SCC (OR = 0.677, 95% CI 0.481-0.952, P = 0.025). Individuals with a middle school education and above was related to reduced risk of SCC (OR = 0.670, 95% CI 0.465-0.965, P = 0.032). Interestingly, non drinking history was linked to a reduced risk of GS (OR = 0.273, 95% CI 0.057-0.989, P = 0.048).

Discussion

Prevalence of MCR and related factors

The present study extended previous studies by providing the prevalence of MCR among community-dwelling older adults in the Central area of China. The prevalence of MCR was 11.5% in the present study (mean age = 71.62 ± 5.22), which was among the reported range of 9.6% ~ 12.7%(9.6% in Beijing, China [31], 10% worldwide [5], 12.7% in East China, 10.7% in West China [8], and 10.4% in a nationally Chinese sample [34]. Slightly different results might be related to assessment tools, participants of diverse ages, ethics, and senior hospital departments [5, 8, 31, 34]. Our results found aging awareness, and positive control were associated with MCR risk after adjusting for related confounders.

In the present study, aging awareness was only related to increased risk of MCR but not its components. This might be related to different measures of SPA. Althgouh both views of aging and subjective age could reflect SPA to some degree, there were some differences regarding asscociations with SCC. View of aging means attitudes towards both psychological loss, physical decline and psyhcological growth according to Attitudes to Aging questionnaire. Aging aware in B-APQ reflects awareness of one’s aging or age, more similar to subjective age. View of aging contributed to all dimensions of cognitive complaints such as abilities to remember, recognize, recall or understand, et al. [15]. However, subjective age was not associated with complaints about memory [15]. SCC in this study are memory-specific cognitive complaints and SPA is a multiple domian construct. Given positive control was associated with MCR, SCC and gait speed, our finding indicates the relationship between SPA and SCC might be domain-specific and warrant further studies.

Our result that positive control was associated with the reduced risk of MCR was easy to be understood for previous evidence linked positive control to MCR components in older adults. Older adults with higher control beliefs had better executive functioning than counterparts [35]. Similarly, high levels of personal mastery predicated fewer subjective memory complaints [36]. Although only negative control rather than other dimensions of SPA predicted lower walking speed [26], older adults who endorsed more positive SPA were more likely to exhibit a stable, fast gait at maximum speed [37].

Several mechanisms were likely to be involved in the association between positive control and the lower risk of MCR. First, positive control over aging differs from negative control focusing on physical autonomy. Positive control in SPA refers to adaptive coping, mainly emphasizing positive beliefs about social relationships. Quality rather than quantity of social relationships benefited to older adults’ global cognitive function [38]. Social activity or a more extensive social network was positively linked to faster gait speed and physical fitness [39, 40]. Conversely, social isolation was an independent risk of further physical performance decline detected by the Timed Up and Go (TUG) test [41]. Perceived social control mediated the associated social support and physical function and depressive symptoms, which were related to MCR found in our study and previous studies [42, 43]. In line with previous studies [34, 44], depression was associated with MCR and risk factors for a transition of MCR to dementia.

Second, positive control also includes beliefs to live life to the full (whether I continue to live life to the full depends on me). Meaning-in-life, including interpersonal relationship, was associated with subjective memory complaints [45]. Compared with other psychological factors of MCR such as personality, and purpose in life, positive control in SPA based on self-regulatory framework were more modifiable [13, 21].

Of note, compared to participants with a vegetarian diet, older adults with a balanced diet had lower risk of MCR. Our results were different from one study that certain amount of cholesterol was associated with lower risk of MCR in West China [8]. The reasons might be related to metabolism, as an umbrella review demonstrated that vegetarian diets benefit reduced risk of chronic diseases such as stroke, cancer risk which is not found risk factors of MCR [7], but a vegetarian diet might do harm to one-carbon metabolism markers by reducing the concentrations of Vitamin B12, and increasing concentrations of homocysteine [46]. An international consensus statement showed that elevated plasma homocysteine was a risk factor for the development of cognitive decline, and dementia in older adults [47]. The effect of Vitamin B12 supplementation has not been demonstrated effective [48]. Homocysteine rather than Vitamin B12 was associated with gait speed decline in healthy older adults [49]. Thus, homocysteine levels might serve as a mechanism associated with the risk of MCR with a vegetarian diet, which warrants future studies.

It is much better to keep thin in Chinese traditional culture, just as a Chinese proverb says, “money cannot make one thin in his old age.” Maladaptive aging beliefs might promote older adults to maintain a vegetarian diet. A study found positive SPA (capturing aging knowledge and control) promoted healthy eating patterns [50]. Older adults with a balanced diet, adaptive aging awareness, and positive control about aging might confer role models for preventative interventions of MCR in community settings. Consistent with previous studies [51], a drinking history of older adults was merely associated with reduced risk of gait speed compared with non drinkers. This phenomenon was likely to be related to different levels of alcohol use [51]. The relationships of drinking and MCR need further examination [8].

Although a home-based exercise program with telephonic coaching were potentially safe and feasible in preventing adverse outcomes in older adults with MCR [52]. Double-task Happy exercises incorporated whole-body movement, and cognitive activities might improve cognitive and increase robustness among older adults with MCR [53]. Interventions to prevent MCR and MCR transitions to dementia are still few. Our findings have several implications. First, interventions to reduce the risk of MCR could add strategies with positive aging awareness and control over social relationships, such as cognitive behavioral therapy, savoring life lessons, and physical exercise [54, 55]. Second, educational programs should renew older adults’ awareness about aging and a balanced diet to prevent MCR.

Limitations and future work

This study is the first to identify positive control and aging awareness associations with pre-dementia syndrome MCR. There are also some limitations. First, a cross-sectional study limited the exploration of the casual relationship of positive control and aging awareness of SPA with MCR. Our cohort study is ongoing and will provide more information. Second, we didn’t explore the potential mechanisms behind the relations. It warrants further studies given SPA conferred physical and psychological effects through behavioral, lifestyle, and psychological mechanisms [23]. Third, there were still other confounders involved.

Conclusions

This study provided the prevalence of MCR among community-dwelling older adults in the Central area of China. Future MCR preventive interventions should consider positive control and aging awareness of older adults.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

MCR:

Motoric cognitive risk syndrome

SPA:

Self-perceptions of aging

SCC:

Subjective cognitive complaints

GS:

Gait speed

B-APQ:

Brief version of Aging Perception Questionnaires

PHQ-9:

Patient Health Questionnaire-9

MMSE:

Mini-Mental State Examination

OR:

Odds ratio

CI:

Confidence interval

TUG:

Timed Up and Go

References

  1. Jia L, Quan M, Fu Y, et al. Dementia in China: epidemiology, clinical management, and research advances. Lancet Neurol. 2020;19:81–92.

    Article  PubMed  Google Scholar 

  2. Verghese J, Wang C, Lipton RB, Holtzer R. Motoric cognitive risk syndrome and the risk of dementia. J Gerontol A Biol. 2013;68:412–8.

    Article  Google Scholar 

  3. Semba RD, Tian Q, Carlson MC, et al. Motoric cognitive risk syndrome: Integration of two early harbingers of dementia in older adults. Ageing Res Rev. 2020;58:101022.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Verghese J, Annweiler C, Ayers E, et al. Motoric cognitive risk syndrome: multicountry prevalence and dementia risk. Neurology. 2014;83:718–26.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Meiner Z, Ayers E, Verghese J. Motoric cognitive risk syndrome: a risk factor for cognitive impairment and dementia in different populations. Ann Geriatr Med Res. 2020;24:3–14.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Mullin DS, Cockburn A, Welstead M, et al. Mechanisms of motoric cognitive risk-Hypotheses based on a systematic review and meta-analysis of longitudinal cohort studies of older adults. Alzheimers Dement. 2022;18:2413–27.

    Article  PubMed  Google Scholar 

  7. Iqbal K, Hasanain M, Ahmed J, et al. Association of motoric cognitive risk syndrome with cardiovascular and noncardiovascular factors: a systematic review and meta-analysis. J Am Med Dir Assoc. 2022;23:810–22.

    Article  PubMed  Google Scholar 

  8. Sun X, Harris KE, Hou L, et al. The prevalence and associated factors of motoric cognitive risk syndrome in multiple ethnic middle-aged to older adults in west China: a cross-sectional study. Eur J Neurol. 2022;29:1354–65.

    Article  PubMed  Google Scholar 

  9. Stephan Y, Sutin AR, Canada B, Terracciano A. Personality and motoric cognitive risk syndrome. J Am Geriatr Soc. 2020;68:803–8.

    Article  PubMed  Google Scholar 

  10. Ayers E, Gulley E, Verghese J. The effect of personality traits on risk of incident pre-dementia syndromes. J Am Geriatr Soc. 2020;68:1554–9.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Sutin AR, Luchetti M, Stephan Y, et al. Purpose in life and motoric cognitive risk syndrome: replicable evidence from two national samples. J Am Geriatr Soc. 2021;69:381–8.

    Article  PubMed  Google Scholar 

  12. Felix N, Ayers E, Verghese J, et al. Association of the motoric cognitive risk syndrome with levels of perceived social support. Alzheimers Dementia. 2020;16:e039489.

    Article  Google Scholar 

  13. Beyer AK, Wolff JK, Freiberger E, Wurm S. Are self-perceptions of ageing modifiable? Examination of an exercise programme with v.s without a self-perceptions of ageing-intervention for older adults. Psychol Health. 2019;34:661–76.

    Article  PubMed  Google Scholar 

  14. Hausknecht S, Low LF, O’Loughlin K, et al. Older adults’ self-perceptions of aging and being older: a scoping review. Gerontologist. 2020;60:e524–34.

    Article  PubMed  Google Scholar 

  15. Weissberger GH, Bodner E, Palgi Y, et al. The association between views of aging and subjective cognitive complaints in older adults: findings from two samples. Res Aging. 2022;44:531–44.

    Article  PubMed  Google Scholar 

  16. Siebert JS, Braun T, Wahl HW. Change in attitudes toward aging: Cognitive complaints matter more than objective performance. Psychol Aging. 2020;35:357–68.

    Article  PubMed  Google Scholar 

  17. Robertson DA, Kenny RA. Negative perceptions of aging modify the association between frailty and cognitive function in older adults. Person Indiv Differ. 2016;100:120–5.

    Article  Google Scholar 

  18. Stephan Y, Sutin AR, Canada B, Terracciano A. The association between subjective age and motoric cognitive risk syndrome: results from a population-based cohort study. J Gerontol B Psychol Sci Soc Sci. 2021;76:2023–8.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hughes ML, Touron DR. Aging in context: Incorporating everyday experiences into the study of subjective age. Front Psychiatry. 2021;12:633234.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Burton AE, Dean SE, Demeyin W, Reeves J. Questionnaire measures of self-directed ageing stereotype in older adults: a systematic review of measurement properties. Eur J Neurol. 2021;18:117–44.

    CAS  Google Scholar 

  21. Sexton E, King-Kallimanis BL, Morgan K, McGee H. Development of the brief ageing perceptions questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction. BMC Geriatr. 2014;14:44–44.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Brown KE, Kim J, Stewart T, et al. Positive, but not negative, self-perceptions of aging predict cognitive function among older adults. Int J Aging Hum Dev. 2021;93:543–61.

    Article  PubMed  Google Scholar 

  23. Yao GY, Luo YY, Zhu B, et al. Latent profile analysis of self-perceptions of ageing among Chinese community-dwelling older adults. Psychogeriatrics. 2022;22:11–21.

    Article  PubMed  Google Scholar 

  24. Stephan Y, Sutin AR, Terracciano A. “Feeling younger, walking faster”: subjective age and walking speed in older adults. Age. 2015;37:86.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Hausdorff JM, Levy BR, Wei JY. The power of ageism on physical function of older persons: reversibility of age-related gait changes. J Am Geriatr Soc. 1999;47:1346–9.

    Article  CAS  PubMed  Google Scholar 

  26. Robertson DA, Savva GM, King-Kallimanis BL, Kenny RA. Negative perceptions of aging and decline in walking speed: a self-fulfilling prophecy. PLoS One. 2015;10:e0123260.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Barker M, O’Hanlon A, McGee HM, et al. Cross-sectional validation of the Aging Perceptions Questionnaire: a multidimensional instrument for assessing self-perceptions of aging. BMC Geriatr. 2007;7:9.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Sekhon H, Allali G, Beauchet O. The association of anxio-depressive disorders and depression with motoric cognitive risk syndrome: results from the baseline assessment of the Canadian longitudinal study on aging. GeroScience. 2019;41:409–18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Beauchet O, Cooper-Brown LA, Allali G. Motoric cognitive risk syndrome: what’s new? Aging. 2021;13:7711–2.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Delphin-Combe F, Bathsavanis A, Rouch I, et al. Relationship between anxiety and cognitive performance in an elderly population with a cognitive complaint. Eur J Neurol. 2016;23:1210–7.

    Article  CAS  PubMed  Google Scholar 

  31. Chhetri JK, Han C, Dan X, et al. Motoric cognitive risk syndrome in a Chinese older adult population: prevalence and associated factors. J Am Med Dir Assoc. 2020;21:136–7.

    Article  PubMed  Google Scholar 

  32. Pérez-Blanco L, Felpete A, Patten SB, et al. Do informant-reported subjective cognitive complaints predict progression to mild cognitive impairment and dementia better than self-reported complaints in old adults? A meta-analytical study. Ageing Res Rev. 2022;82:101772.

    Article  PubMed  Google Scholar 

  33. Li H, Jia J, Yang Z. Mini-Mental state examination in elderly Chinese: a population-based normative study. J Alzheimers Dis. 2016;53:487–96.

    Article  PubMed  Google Scholar 

  34. Xu W, Bai A, Liang Y, Lin Z. Association between depression and motoric cognitive risk syndrome among community-dwelling older adults in China: a 4-year prospective cohort study. Eur J Neurol. 2022;29:1377–84.

    Article  PubMed  Google Scholar 

  35. Raldiris TL, Perez E, Donovan EK, Dzierzewski JM. Cognitive control beliefs and cognitive functioning in mid- to late-life. Br J Dev Psychol. 2021;39:269–81.

    Article  PubMed  Google Scholar 

  36. Lee PL. Control beliefs level and change as predictors of subjective memory complaints. Aging Ment Health. 2016;20:329–35.

    Article  PubMed  Google Scholar 

  37. Blawert A, Krumpoch S, Freiberger E. Domain-specific self-perceptions of aging are associated with different gait patterns in older adults: a cross-sectional latent profile analysis. BMC Geriatr. 2021;21:392.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Kelly ME, Duff H, Kelly S, et al. The impact of social activities, social networks, social support and social relationships on the cognitive functioning of healthy older adults: a systematic review. Syst Rev. 2017;6:259.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Haeuchi Y, Honda T, Chen T, et al. Association between participation in social activity and physical fitness in community-dwelling older Japanese adults. Nihon Koshu Eisei Zasshi. 2016;63:727–37.

    PubMed  Google Scholar 

  40. Sialino LD, Schaap LA, Van Oostrom SH, et al. The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute? BMC Geriatr. 2021;21:340.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Imamura K, Kamide N, Ando M, et al. Social isolation is associated with future decline of physical performance in community-dwelling older adults: a 1-year longitudinal study. Aging Clin Exp Res. 2022;34:1391–8.

    Article  PubMed  Google Scholar 

  42. Bisconti TL, Bergeman CS. Perceived social control as a mediator of the relationships among social support, psychological well-being, and perceived health. Gerontologist. 1999;39:94–103.

    Article  CAS  PubMed  Google Scholar 

  43. Bullers S. The mediating role of perceived control in the relationship between social ties and depressive symptoms. Women Health. 2000;31:97–116.

    Article  CAS  PubMed  Google Scholar 

  44. Meiner Z, Ayers E, Bennett DA, Wang C, Verghese J. Risk factors for the progression of motoric cognitive risk syndrome to dementia: Retrospective cohort analysis of two populations. Eur J Neurol. 2021;28:1859–67.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Steinberg SI, Negash S, Sammel MD, et al. Subjective memory complaints, cognitive performance, and psychological factors in healthy older adults. Am J Alzheimers Dis Other Demen. 2013;28:776–83.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Oussalah A, Levy J, Berthezène C, et al. Health outcomes associated with vegetarian diets: an umbrella review of systematic reviews and meta-analyses. Clin Nutr. 2020;39:3283–307.

    Article  CAS  PubMed  Google Scholar 

  47. Smith AD, Refsum H, Bottiglieri T, et al. Homocysteine and dementia: An international consensus statement. J Alzheimers Dis. 2018;62:561–70.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Markun S, Gravestock I, Jäger L, et al. Effects of Vitamin B12 Supplementation on cognitive function, depressive symptoms, and fatigue: a systematic review, meta-analysis, and meta-regression. Nutrients. 2021;13(3):923.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Vidoni ML, Pettee Gabriel K, Luo ST, et al. Vitamin B12 and Homocysteine associations with gait speed in older adults: The Baltimore longitudinal study of aging. J Nutr Health Aging. 2017;21:1321–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Klusmann V, Sproesser G, Wolff JK, et al. Positive Self-perceptions of aging promote healthy eating behavior across the life span via social-cognitive processes. J Gerontol B Psychol Sci Soc Sci. 2019;74:735–44.

    Article  PubMed  Google Scholar 

  51. Seematter-Bagnoud L, Büla C, Santos-Eggimann B. The association between different levels of alcohol use and gait under single and dual task in community-dwelling older persons aged 65 to 70 years. Curr Gerontol Geriatr Res. 2016;2016:2018507.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Ambrose AF, Gulley E, Verghese T, Verghese J. Home-based exercise program for older adults with motoric cognitive risk syndrome: feasibility study. Neurodegener Dis Manag. 2021;11:221–8.

    Article  PubMed  Google Scholar 

  53. Merchant RA, Chan YH, Hui RJY, et al. Motoric cognitive risk syndrome, physio-cognitive decline syndrome, cognitive frailty and reversibility with dual-task exercise. Exp Gerontol. 2021;150:111362.

    Article  PubMed  Google Scholar 

  54. Wolff JK, Warner LM, Ziegelmann JP, Wurm S. What do targeting positive views on ageing add to a physical activity intervention in older adults? Results from a randomised controlled trial. Psychol Health. 2014;29:915–32.

    Article  PubMed  Google Scholar 

  55. Smith JL, Bryant FB. Enhancing positive perceptions of aging by savoring life lessons. Aging Ment Health. 2019;23:762–70.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We gratefully acknowledged all participants and community staff for their support in this study.

Funding

This study was supported by grants from The Key Scientific Research Projects in Colleges and Universities of Henan under Grants: 21A310013.

Author information

Authors and Affiliations

  1. School of Nursing, Xinxiang Medical University, 601 Jinsui Road, Xinxiang, 453003, Henan, China

    Guiying Yao, Yanyan Luo, Huimin Wu, Min Gao & Junjun Sun

  2. Xinxiang Key Laboratory for Chronic Disease Basic Research and Intelligent Care, Xinxiang, Henan, 453003, People’s Republic of China

    Guiying Yao, Yanyan Luo, Min Gao & Junjun Sun

  3. School of Nursing, SIAS University, Xinzheng, Henan, 451150, People’s Republic of China

    Huimin Wu

Authors
  1. Guiying Yao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yanyan Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huimin Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Min Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Junjun Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

GYY and YYL contributed to the concept and the design of the study. GYY analyzed the data and wrote the original draft. GYY, HMW, MG, and JJS participated the investigation. All authors revised and approved the final version of the manuscript.

Corresponding author

Correspondence to Yanyan Luo.

Ethics declarations

Ethics approval and consent to participate

All participants signed written informed consent. The present study was approved by the Institutional Review Boards and Ethics Committee of Xinxiang Medical University (XYLL-2021004). This study methods followed the principles of the Declaration of Helsinki.

Consent for publication

Not applicable.

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.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yao, G., Luo, Y., Wu, H. et al. Association between positive control in self-perceptions of aging and motoric cognitive risk syndrome among Chinese community-dwelling older adults: a cross-sectional study. BMC Geriatr 23, 211 (2023). https://doi.org/10.1186/s12877-023-03934-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12877-023-03934-x

Keywords

  • Positive control
  • Self-perceptions of aging
  • Motoric cognitive risk syndrome
  • Community-dwelling
  • Older adults

BMC Geriatrics

ISSN: 1471-2318

Contact us