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1.
Eur J Nutr ; 61(7): 3785-3794, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35748921

ABSTRACT

BACKGROUND: Increased fish consumption reduces the risk of dementia. However, it is unknown whether fish consumption reduced all-cause mortality in people with dementia. The purpose of the study is to investigate the association of fish consumption with all-cause mortality in older people with dementia versus those without dementia. METHODS: Using a standard method of the Geriatric Mental State, we interviewed 4165 participants aged ≥ 60 years who were randomly recruited from five provinces in China during 2007-2009 to collect the baseline data of socio-demography, disease risk factors, histories of disease, and details of dietary intakes, and diagnosed dementia (n = 406). They were followed up for vital status until 2012. RESULTS: The cohort follow-up documented 329 deaths; 61 were in participants with dementia (55.3 per 1000 person-years) and 224 were those without dementia (22.3). In all participants, the risk of all-cause mortality was reduced with fish intake at " ≥ twice a week" (multivariate-adjusted hazard ratio 0.58, 95% CI 0.34-0.96) and at "once a week or less" (0.79, 0.53-1.18) compared to "never eat" over the past two years. In participants without baseline dementia, the corresponding HRs for all-cause mortality were 0.57 (0.33-0.98) and 0.85 (0.55-1.31), while in participants with dementia were 1.36 (0.28-6.60) and 1.05 (0.30-3.66), respectively. CONCLUSION: This study reveals that consumption of fish in older age reduced all-cause mortality in older people without dementia, but not in people with dementia. Fish intake should be increased in older people in general, prior to the development of dementia in the hope of preventing dementia and prolonging life.


Subject(s)
Dementia , Eating , Fishes , Aged , Animals , Cohort Studies , Humans , Middle Aged , Proportional Hazards Models , Risk Factors
2.
J Alzheimers Dis ; 77(4): 1671-1679, 2020.
Article in English | MEDLINE | ID: mdl-32925056

ABSTRACT

BACKGROUND: The impact of air pollution on cognitive impairment in older people has not been fully understood. It is unclear which air pollutants are the culprit. OBJECTIVE: We assessed the associations of six air pollutants and air quality index (AQI) with cognitive impairment. METHODS: We examined 7,311 participants aged ≥60 years from the ZJMPHS cohort in China. They were interviewed for baseline socio-demographic and disease risk factors in 2014, and re-interviewed in 2015 and 2016, respectively. The presence of cognitive impairment was determined by the Chinese version of the Mini-Mental State Examination. Daily area-level data monitored for air pollution during 2013-2015 was then examined for associations with cognitive impairment in logistic regression models. RESULTS: Over the two years follow-up, 1,652 participants developed cognitive impairment, of which 917 were severe cases. Continuous air pollution data showed the risk of cognitive impairment increased with exposure to PM2.5 (fully adjusted odds ratio [aOR] 1.04, 95% CI 1.01-1.08), PM10 (1.03, 1.001-1.06), and SO2 (1.04, 1.01-1.08), but not with NO2, CO, O3, and AQI. Categorized data analysis for low, middle, and high level exposure demonstrated that the aOR increased with PM2.5 and AQI, somehow with PM10 and CO, but not significantly with SO2 and NO2, and decreased with O3. The patterns for these associations with severe cognitive impairment were stronger. CONCLUSION: Lowering PM2.5, PM10, SO2, and CO level could reduce the risk of cognitive impairment in older Chinese. Strategies to target most important air pollutants should be an integral component of cognitive interventions.


Subject(s)
Air Pollutants/adverse effects , Air Pollution/adverse effects , Cognitive Dysfunction/epidemiology , Environmental Exposure/adverse effects , Rural Population , Suburban Population , Aged , Aged, 80 and over , Air Pollutants/analysis , Air Pollution/analysis , China/epidemiology , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/etiology , Cohort Studies , Female , Follow-Up Studies , Humans , Male , Middle Aged , Particulate Matter/adverse effects , Particulate Matter/analysis , Population Surveillance/methods , Prospective Studies , Surveys and Questionnaires
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