Association Between Childhood Neighborhood Quality and the Risk of Cognitive Dysfunction in Chinese Middle-Aged and Elderly Population: The Moderation Effect of Body Mass Index

Xiong, Peng; Liang, Xiaohua; Chen, Haiyan; Chen, Li; Zuo, Lei; Jing, Chunxia; Hao, Guang

doi:10.3389/fnagi.2021.645189

Cited by 11 publications

(9 citation statements)

References 44 publications

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“…Half of the studies had only one racial/ethnic background or did not report race [ 36 , 42 – 50 , 52 – 55 , 57 – 59 , 61 – 63 ], with only 13% including four or more racial/ethnic groups [ 25 , 26 , 31 , 34 , 39 ]. Most studies collected environmental exposures through spatial boundaries (47.5%) [ 6 , 25 , 28 , 29 , 34 , 35 , 38 , 46 – 51 , 53 , 58 – 61 , 63 ] or administrative boundaries (37.5%) [ 26 , 27 , 30 – 33 , 37 , 39 , 41 , 42 , 52 , 54 , 56 , 57 , 62 ], 15% did not specify or used a subjective definition of neighborhood [ 36 , 40 , 43 – 45 , 55 ].…”

Section: Resultsmentioning

confidence: 99%

“…The most common environmental exposures were green space and/or blue space (water) (30%) [ 35 , 41 , 46 – 48 , 51 , 53 , 57 , 60 , 61 , 63 ], neighborhood socioeconomic status (SES) (25%) [ 30 , 31 , 33 , 37 , 42 , 44 , 52 , 54 , 55 , 62 ] and recreation/physical activity facilities (20%) ( Figure 2 ) [ 6 , 25 , 29 , 42 , 49 , 50 , 57 ]. Most studies (65%) only provided environmental exposure measures at one timepoint ( Table 1 ) [ 6 , 25 – 27 , 29 , 31 – 35 , 37 , 38 , 40 – 45 , 53 – 55 , 57 – 59 , 61 , 62 ]. Over half of the papers (70%) examined cognitive function or cognitive decline [ 6 , 25 – 29 , 31 , 32 , 34 , 36 – 38 , 40 , 42 – 51 , 53 , 55 , 56 , 58 , 60 , 62 ], often through global cognitive score (60%) [ 6 , 25 – 29 , 35 ...…”

Section: Resultsmentioning

confidence: 99%

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Systematic Review of Longitudinal Evidence and Methodologies for Research on Neighborhood Characteristics and Brain Health

Michael,

Senerat,

Buxbaum

et al. 2024

Public Health Rev

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Objective: Synthesize longitudinal research evaluating neighborhood environments and cognition to identify methodological approaches, findings, and gaps.Methods: Included studies evaluated associations between neighborhood and cognition longitudinally among adults >45 years (or mean age of 65 years) living in developed nations. We extracted data on sample characteristics, exposures, outcomes, methods, overall findings, and assessment of disparities.Results: Forty studies met our inclusion criteria. Most (65%) measured exposure only once and a majority focused on green space and/or blue space (water), neighborhood socioeconomic status, and recreation/physical activity facilities. Similarly, over half studied incident impairment, cognitive function or decline (70%), with one examining MRI (2.5%) or Alzheimer’s disease (7.5%). While most studies used repeated measures analysis to evaluate changes in the brain health outcome (51%), many studies did not account for any type of correlation within neighborhoods (35%). Less than half evaluated effect modification by race/ethnicity, socioeconomic status, and/or sex/gender. Evidence was mixed and dependent on exposure or outcome assessed.Conclusion: Although longitudinal research evaluating neighborhood and cognitive decline has expanded, gaps remain in types of exposures, outcomes, analytic approaches, and sample diversity.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Systematic Review of Longitudinal Evidence and Methodologies for Research on Neighborhood Characteristics and Brain Health

Michael,

Senerat,

Buxbaum

et al. 2024

Public Health Rev

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“…In contrast, the intrinsic capacity construct allows us to explore the impact of life-course factors on the overall functioning of older adults, and to understand the different domains of functioning that are most affected. 24 , 35 , 48 …”

Section: Discussionmentioning

confidence: 99%

Life-course inequalities in intrinsic capacity and healthy ageing, China

Si¹,

Hanewald²,

Chen³

et al. 2023

Bull World Health Org

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Objective To investigate the contribution of early-life factors on intrinsic capacity of Chinese adults older than 45 years. Methods We used data on 21 783 participants from waves 1 (2011) and 2 (2013) of the China Health and Retirement Longitudinal Study (CHARLS), who also participated in the 2014 CHARLS Life History Survey to calculate a previously validated measure of intrinsic capacity. We considered 11 early-life factors and investigated their direct association with participants’ intrinsic capacity later in life, as well as their indirect association through four current socioeconomic factors. We used multivariable linear regression and the decomposition of the concentration index to investigate the contribution of each determinant to intrinsic capacity inequalities. Findings Participants with a favourable environment in early life (that is, parental education, childhood health and neighbourhood environment) had a significantly higher intrinsic capacity score in later life. For example, participants with a literate father recorded a 0.040 (95% confidence interval, CI: 0.020 to 0.051) higher intrinsic capacity score than those with an illiterate father. This inequality was greater for cognitive, sensory and psychological capacities than locomotion and vitality. Overall, early-life factors directly explained 13.92% (95% CI: 12.07 to 15.77) of intrinsic capacity inequalities, and a further 28.57% (95% CI: 28.19 to 28.95) of these inequalities through their influence on current socioeconomic inequalities. Conclusion Unfavourable early-life factors appear to decrease late-life health status in China, particularly cognitive, sensory and psychological capacities, and these effects are exacerbated by cumulative socioeconomic inequalities over a person’s life course.

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“…A research conducted among Indian adult population reported that the exposure to road traffic noise at L den > 65 dB(A) in male and L den > 60 dB(A) in female was correlated to the prevalence of hypertension (34). A cross-sectional study involving 500 Chinese adults found that indoor nocturnal noise was associated with BMI and BP in females but only BP in males (35). One possible explanation is that females might be more annoyed by noise than males (36).…”

Section: Discussionmentioning

confidence: 99%

Associations of self-reported residential noise exposure with obesity and hypertension in children and adolescents

et al. 2022

Self Cite

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BackgroundEpidemiologic evidence linking environmental noise to obesity and hypertension remains scarce, especially in children, and the results remain inconclusive. This study aims to examine the cross-sectional associations of self-reported residential noise exposure with obesity and hypertension in children and adolescents.MethodsAs an ongoing study, a representative sample of the children aged 6–9 years in Chongqing were selected in 2014. In 2019, self-reported residential noise (answer categories: “very quiet,” “moderately quiet,” “slightly quiet,” and “not at all quiet”) data were collected, and 3,412 participants with completed data were included in the analyses.ResultsParticipants living in a quieter area had a significantly lower risk of obesity than those living in a noisy area (very quiet: OR = 0.50, 95%CI: 0.29–0.88, P = 0.015; moderately quiet: OR = 0.61, 95%CI: 0.36–1.02, P = 0.059). Similar associations were observed for abdominal obesity, although did not reach statistical significance. Consistently, residential noise exposure was significantly associated with body mass index (BMI) and waist-to-height ratio. Self-reported residential noise exposure was positively associated with systolic blood pressure (β = −1.808; 95%CI = −3.495, −0.110; P = 0.037). When sleep quality, study stress, BMI, and vegetable/fruits consumption were further adjusted, all effect estimates decreased, and no statistical association was observed between noise exposure and blood pressure. Furthermore, we found that the mediating effects of obesity on the associations of self-reported residential noise exposure with hypertension were 6.8% (% of total effect mediated = 0.068, 95%CI: −2.58, 3.99), although did not reach statistical significance.ConclusionsSelf-reported residential noise exposure was associated with a higher risk of obesity or abdominal obesity. Also, self-reported residential noise exposure was positively associated with hypertension, and obesity may partially mediate this association, but did not reach statistical significance.

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Association Between Childhood Neighborhood Quality and the Risk of Cognitive Dysfunction in Chinese Middle-Aged and Elderly Population: The Moderation Effect of Body Mass Index

Cited by 11 publications

References 44 publications

Systematic Review of Longitudinal Evidence and Methodologies for Research on Neighborhood Characteristics and Brain Health

Systematic Review of Longitudinal Evidence and Methodologies for Research on Neighborhood Characteristics and Brain Health

Life-course inequalities in intrinsic capacity and healthy ageing, China

Associations of self-reported residential noise exposure with obesity and hypertension in children and adolescents

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