Cognitive decline trajectories and influencing factors in China: A non-normal growth mixture model analysis

Wang, Yu; Chen, Rong; Zhang, Minqiang; Li, Zonglong; Gao, F.; Yu, Sufang; Zhang, Xinyu

doi:10.1016/j.archger.2021.104381

Cited by 16 publications

(10 citation statements)

References 73 publications

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“…As cognitive capacity is associated with the overall well-being of a person; thus, plays an important role in healthy ageing 13 . In this direction, the cognition research in the public health domain keenly focuses on possible delaying the decline in cognition among older persons 14 . The active model of ‘cognition reserve’ hypothesises the role of experience and argues that education level, career achievements and social activities determine the level of cognition among individuals 15 .…”

Section: Introductionmentioning

confidence: 99%

Nutritional status, alcohol-tobacco consumption behaviour and cognitive decline among older adults in India

Khan

2022

Sci Rep

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Cognition capacity is essentially age-dependent and it is associated with the overall well-being of an individual. The public health aspects of cognitive research primarily focus on the possible delaying of cognitive decline among the older adult population. In this context, using the most recent round of the Longitudinal Ageing Study in India, 2017–2018 data, this study examines the cognition capacity among older adults aged 45 and above subject to their nutritional health and health behaviour (tobacco and alcohol consumption). It is observed that almost one in every tenth individual (10%) above 45 years of age in India shows low cognition scores. Low cognition is much more prevalent among 60 + females than males. Around one-fifth of the underweight older adults (18%) demonstrate low cognition capacity among them. Of those older adults who consume only tobacco, 11% of them demonstrate low cognition than the rest. The partial proportional odds model estimation shows that older adults are at higher risk of developing low cognition with increasing age and beyond age 65, the individuals carry a critically higher risk to experience low cognition. The estimation also shows that with increasing age older adults are higher likely to experience poor cognition independent of nutritional status, but underweight older adults are comparatively more likely to experience low cognition followed by normal and overweight older adults. In terms of alcohol-tobacco consumption behaviour, older adults who consume both are more likely to experience low cognition with increasing age followed by ‘only alcohol consumers’, and ‘only tobacco consumers’.

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Section: Introductionmentioning

confidence: 99%

Nutritional status, alcohol-tobacco consumption behaviour and cognitive decline among older adults in India

Khan

2022

Sci Rep

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“…The 24-item scale was translated and modified into a Chinese version to adapt to the Chinese cultural background. The Chinese version had been demonstrated to have satisfactory reliability and validity (e.g., Du et al, 2019; Ni et al, 2020; Yu et al, 2021; Zhong et al, 2017) [ 19 , 20 , 21 , 22 ]. Five domains of cognitive function were measured: general ability (e.g., ‘what month is it now’); reaction capacity (e.g., ‘repeat the three objects in order after me quickly’); attention and computation (e.g., simple mathematical problems); memory (e.g., ‘repeat the three objects just learned before in order again’); and Language comprehension and coordination (e.g., ‘write a complete and meaningful sentence including subject and verb’).…”

Section: Methodsmentioning

confidence: 99%

Turning Point of Cognitive Decline for Chinese Older Adults from a Longitudinal Analysis: Protective Factors and Risk Factors

Li²

2022

Healthcare

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Objectives: To explore the turning point of cognitive decline in Chinese older adults and to explore the influencing factors including covariates. Participants: Aged 65 and older whose cognitive function was normal at their first test. Methods: a secondary analysis that identified participants from the database of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Cohort-sequential design was used to categorize the data by age (rather than study wave), including the follow-up data of Chinese older adults aged 65–79 years and spanning 14 years. Cognitive function in 1278 participants was assessed using the Chinese Mini-Mental State Examination (CMMSE) in five waves over 14 years. Piecewise latent growth curve modeling was used to analyze the data. Results: (1) The turning point of cognitive decline in Chinese older adults occurs between the ages of 68 and 70. (2) There are statistically significant individual differences in the initial level of cognitive function and the growth rate of cognitive function before and after the transition stage. (3) Factors influencing cognitive function include residence, education level, smoking, drinking, exercise, leisure activities, social activities, Activities of Daily Living (ADL), and Instrumental Activities for Daily Living (IADL). (4) Exercise and ADL are the main protective factors, while smoking and drinking are the main risk factors. Conclusions: There is a transition stage (68–70) in the decline of cognitive function in Chinese older adults and four main factors (such as smoking, drinking, exercise and ADL) have impacts on the cognitive decline. We should strengthen these protective factors (exercise and ADL) for the cognitive decline of older adults and avoid these risk factors (smoking, drinking). To prevent the decline of the cognitive function of older adults, the government should build more places conducive to activities for older adults and actively encourage older adults to improve their physical activity level. Given our findings, public health interventions centered on alcohol and tobacco cessation in older adults should be governmentally endorsed.

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“…Individuals with MMSE scores lower than 24 were considered to suffer cognitive impairment. 27 Cognitive function was scored 1 point if participants had MMSE scores greater than 24; (d) activities of daily life. It was evaluated based on the six self-care tasks, including eating, bathing, dressing, toileting, indoor activities, and continence.…”

Section: Methodsmentioning

confidence: 99%

Relationship between specific leisure activities and successful aging among older adults

Zhao

Liu

2023

Journal of Exercise Science & Fitness

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Cognitive decline trajectories and influencing factors in China: A non-normal growth mixture model analysis

Cited by 16 publications

References 73 publications

Nutritional status, alcohol-tobacco consumption behaviour and cognitive decline among older adults in India

Nutritional status, alcohol-tobacco consumption behaviour and cognitive decline among older adults in India

Turning Point of Cognitive Decline for Chinese Older Adults from a Longitudinal Analysis: Protective Factors and Risk Factors

Relationship between specific leisure activities and successful aging among older adults

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