Associations of Dietary Pattern and Sleep Duration with Cognitive Decline in Community-Dwelling Older Adults: A Seven-Year Follow-Up Cohort Study

2021 ◽  
pp. 1-13
Author(s):  
Xianwen Shang ◽  
Allison M. Hodge ◽  
Edward Hill ◽  
Zhuoting Zhu ◽  
Mingguang He

Background: A few studies have linked dietary patterns and sleep to cognitive decline. Objective: To examine the independent and joint associations of dietary patterns and sleep with cognitive decline. Methods: Our analysis included 2,307 participants aged 55– 89 years at baseline from the China Health and Nutrition Survey. Dietary intake was assessed using weighing methods in combination with 24 h dietary recalls for three consecutive days. Exploratory factor analysis was applied to identify major dietary factors. Cognition was assessed in 1997, 2000, 2004, 2006, and 2015. Results: Five dietary patterns were identified: dairy-fruits-fast foods, grains-vegetables-pork, plant-based food, beans-mushroom, and beverages-nuts patterns. Beans-mushroom pattern and sleep duration of 8 h/day were defined as healthy habits. There was a positive association between the beans-mushroom pattern and change in the global cognitive Z-score over seven years (β (95% CI) for quintile 5 versus quintile 1:0.17 (0.05, 0.30)). Compared to individuals with sleep duration of 8 h/day, those with sleep duration of≤5 h/day (β (95% CI): – 0.23 (– 0.45, – 0.00)) or >  10 h/day (– 0.52 (– 0.73, – 0.32)) had a greater decrease in global cognitive Z-score. Compared to individuals with no healthy patterns, those with a healthy dietary pattern only (β (95% CI): 0.18 (0.08, 0.28)), healthy sleep pattern only (0.13 (0.04, 0.23), and both healthy dietary and sleep patterns (0.19 (0.08, 0.31)) had a relative increase in global cognitive Z-score. Conclusion: Our findings highlight the importance of involving both diet and sleep as intervention priorities for the potential prevention of cognitive decline.

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2245
Author(s):  
Yingting Cao ◽  
Xiaoyue Xu ◽  
Zumin Shi

No study has used trajectories of dietary patterns to examine their effects on sleep duration and body mass index over time in the Chinese population. We analyzed data from adults participating in the China Health and Nutrition Survey between 1991 and 2009. Dietary intake was measured by a 24-h recall method over three consecutive days. Height and body weight were measured, and sleep duration was self-reported. Multivariable mixed linear models were applied to examine the association between trajectories of dietary patterns (using a latent class model) and sleep duration as well as BMI. Four trajectories of a traditional pattern (characterized by rice, meat, and vegetables) and three trajectories of a modern pattern (characterized by fast food, milk, and deep-fried food) were identified. Participants with a high and rapid increase trajectory of the modern dietary pattern had the shortest sleep duration (β = −0.26; 95% CI: −0.40, −0.13). Participants with a high and stable intake of the traditional dietary pattern had the lowest BMI (β = −1.14; 95% CI: −1.41, −0.87), while the participants with a high and rapid increase trajectory of the modern dietary pattern had the highest BMI (β = 0.74; 95% CI: 0.34, 1,15). A rapid increase in the modern dietary pattern is associated with shorter sleep duration and higher BMI.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yuri Yokoyama ◽  
Akihiko Kitamura ◽  
Satoshi Seino ◽  
Hunkyung Kim ◽  
Shuichi Obuchi ◽  
...  

Abstract Background Diet is a modifiable factor affecting sarcopenia, and accumulating evidence links dietary factors to muscle mass, strength, and function in older adults. However, few studies have examined the association of dietary patterns with sarcopenia. This study examined the association of dietary patterns derived by reduced-rank regression (RRR) with sarcopenia and its components in community-dwelling older Japanese. Methods We conducted a cross-sectional study of 1606 community-dwelling adults aged 65 years or older. Dietary intake was assessed by a validated, self-administered diet history questionnaire. Nutrient-derived dietary patterns were identified by using RRR, with sarcopenia-related nutrients (protein, vitamin D, vitamin C, vitamin E, folate, vitamin K, magnesium, iron, and calcium intakes) as response variables. Sarcopenia was defined by using the algorithm of the Asian Working Group for Sarcopenia 2019. Multivariate regression and logistic regression were used to examine the association of dietary patterns with sarcopenia and its components. Results The first RRR dietary pattern was characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruit and a low intake of rice and was associated with decreased prevalence of sarcopenia: the multivariable-adjusted odds ratio of sarcopenia was 0.57 (95% confidence interval, 0.34–0.94; p for trend=0.022) in the highest versus the lowest tertile of dietary pattern. This dietary pattern was also significantly positively associated with usual gait speed (β: 0.02, p=0.024). Conclusions A dietary pattern characterized by high intakes of fish, soybean products, potatoes, most vegetables, mushrooms, seaweeds, and fruits and low rice intake was inversely associated with sarcopenia in community-dwelling older Japanese.


2020 ◽  
pp. 1-29
Author(s):  
Janie Corley ◽  
Ian J. Deary

Abstract Healthy dietary patterns may protect against age-related cognitive decline but results of studies have been inconsistent and few have had extensive longitudinal follow-up with comprehensive cognitive testing. The aim of the present study was to determine associations of dietary patterns with trajectories of global and domain-specific cognitive change over a 12-year period. Data from 863 community-dwelling, dementia-free participants from the Lothian Birth Cohort 1936 study of ageing completed a food frequency questionnaire at baseline (aged 70) and underwent cognitive testing at baseline, age 73, 76, 79, and 82. Composite cognitive scores were constructed for four cognitive domains (visuospatial ability, processing speed, memory, and verbal ability) and global cognitive function. A Mediterranean-style pattern and a traditional pattern were derived using principal component analysis of self-reported dietary intakes. In fully-adjusted latent growth curve models, higher baseline adherence to the Mediterranean-style dietary pattern (β = 0.056, P = 0.009) and lower baseline adherence to the traditional dietary pattern (β = -0.087, P < 0.001) were cross-sectionally associated with better verbal ability. A slightly steeper decline in verbal ability over 12 years was observed in those with higher Mediterranean-style diet scores at baseline (β = -0.003, P = 0.008). All other associations were non-significant. Our findings in this well-characterised Scottish cohort indicate that adherence to a healthy Mediterranean-style diet is associated cross-sectionally with better verbal (crystallised) ability, with the converse being true for the traditional diet. A healthier baseline diet did not predict a reduced risk of global or domain-specific cognitive decline.


Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1131 ◽  
Author(s):  
Suzana Almoosawi ◽  
Luigi Palla ◽  
Ian Walshe ◽  
Snieguole Vingeliene ◽  
Jason Ellis

Limited observational studies have described the relationship between sleep duration and overall diet. The present study investigated the association between sleep duration on weekdays or social jetlag and empirically derived dietary patterns in a nationally representative sample of UK adults, aged 19–64 years old, participating in the 2008–2012 UK National Diet and Nutrition Survey Rolling Programme. Survey members completed between three to four days of dietary records. Sleep duration on weekdays was categorized into tertiles to reflect short, normal, and long sleep duration. Social jetlag was calculated as the difference between sleep duration on weekends and weekdays. The association between sleep duration/social jetlag and dietary patterns, derived by principal components analysis, was assessed by regressing diet on sleep, whilst accounting for the complex survey design and adjusting for relevant confounders. Survey members in the highest tertile of sleep duration had on average a 0.45 (95% Confidence Interval (CI) −0.78, −0.12) lower healthy dietary pattern score, compared to middle tertile (p = 0.007). There was an inverted u-shaped association between social jetlag and the healthy dietary pattern, such that when sleep on weekends exceeded weekday sleep by 1 h 45 min, scores for indicating a healthy dietary pattern declined (p = 0.005). In conclusion, long sleep duration on weekdays and an increased social jetlag are associated with a lower healthy dietary pattern score. Further research is required to address factors influencing dietary patterns in long sleepers.


Author(s):  
Suzana Almoosawi ◽  
Luigi Palla ◽  
Ian walshe ◽  
Snieguole Vingeliene ◽  
Jason Ellis

Limited observational studies have described the relationship between sleep duration and overall diet. The present study investigated the association between sleep duration at weekdays and empirically derived dietary patterns in a nationally representative sample of UK adults, aged 19-64 years old, participating in the 2008-2012 UK National Diet and Nutrition Survey Rolling Programme. Survey members completed between three to four days of dietary records. Sleep duration at weekdays was categorised into tertiles to reflect short, normal and long sleep duration. Social jetlag was calculated as the difference between sleep duration at weekends and weekdays. The association between sleep duration/ social jetlag and dietary patterns, derived by principal components analysis, was assessed regressing diet on sleep whilst accounting for the complex survey design and adjusting for relevant confounders. Survey members in the highest tertile of sleep duration had on average 0.45 (95% CI -0.78, -0.12) lower healthy dietary pattern score compared to middle tertile (p =0.007). There was an inverted u-shaped association between social jetlag and a healthy dietary pattern, such that when sleep at weekends exceeded weekday sleep by 1h 45min, scores for indicating a healthy dietary pattern declined (p =0.005). In conclusion, long sleep duration at weekdays and an increased social jetlag are associated with a lower healthy dietary pattern score. Further research is required to address factors influencing dietary patterns in long sleepers.


2013 ◽  
Vol 110 (10) ◽  
pp. 1926-1933 ◽  
Author(s):  
Sangah Shin ◽  
Hyojee Joung

The aim of the present study was to identify the association of dietary patterns with osteoporosis in Korean postmenopausal women from the Korean Health and Nutrition Examination Survey 2008–10. The present cross-sectional analysis included 3735 postmenopausal women who completed a health interview, nutrition survey and a health examination including bone mineral density (BMD) measurements. The general characteristics and dietary intakes of the participants were obtained using a standardised questionnaire and a 24 h recall method, respectively. The BMD of the femoral neck and lumbar spine was measured using dual-energy X-ray absorptiometry; osteoporosis was defined based on the WHO T-score criteria. Overall, we identified four dietary patterns using factor analysis as follows: ‘meat, alcohol and sugar’, ‘vegetables and soya sauce’, ‘white rice, kimchi and seaweed’ and ‘dairy and fruit’, which accounted for 30·9 % of the total variance in food intake (11·3, 7·7, 6·0 and 5·9 %, respectively). The subjects in the highest quintile of the ‘dairy and fruit’ pattern showed a decreased risk of osteoporosis of the lumbar spine (53 %) compared with those in the lowest quintile, after adjusting for covariates (OR 0·47, 95 % CI 0·35, 0·65, P for trend < 0·0001). In contrast, the ‘white rice, kimchi and seaweed’ dietary pattern was negatively associated with bone health (OR 1·40, 95 % CI 1·03, 1·90, P for trend = 0·0479). The present results suggest that an increased intake of dairy foods and fruits in the traditional Korean diet, based on white rice and vegetables, may decrease the risk of osteoporosis in Korean postmenopausal women.


Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1127 ◽  
Author(s):  
Pei Lin ◽  
Chun-Chao Chang ◽  
Kuo-Ching Yuan ◽  
Hsing-Jung Yeh ◽  
Sheng-Uei Fang ◽  
...  

Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Bo Qin ◽  
Anthony J Viera ◽  
Linda S Adair ◽  
Brenda L Plassman ◽  
Lloyd J Edwards ◽  
...  

Introduction: Recent studies suggest higher visit-to-visit variability of blood pressure (BP) is associated with worse cognitive function, but evidence based on longitudinal cognitive testing has not been reported. Hypothesis: We assessed the hypothesis that higher visit-to-visit variability in BP, but not mean BP, would be associated with faster decline in cognitive function among community-dwelling older adults. Methods: This prospective cohort study comprised 1213 adults who had two or more waves of BP measurements as part of the China Health and Nutrition Survey from 1991, up to their first cognitive tests, and completed a cognitive screening test at two or more waves in 1997, 2000 or 2004. Mean (SD) age at first cognitive test was 64 (6) y. Outcomes were repeated measures of global cognitive scores (baseline mean ± SD: 19 ± 6 points), standardized composite cognitive and verbal memory scores (standardized units [SU]). Visit-to visit BP variability was expressed as the standard deviation [SD] or as the variation independent of mean (SD/mean^x, with x derived from curve fitting) in BP measures obtained at a mean interval of 3.6 years. Multivariable-adjusted linear mixed-effects models were used to determine the association of changes in cognitive scores with visit-to visit BP variability. Results: Higher visit-to-visit variability in systolic BP, but not mean systolic BP, was associated with a faster decline of cognitive function (adjusted mean difference [95% CI] for high vs. low tertile of SD in variability (Figure): global score -0.23 points/y [-0.41 to -0.04], composite scores -0.029 SU/y [-0.056 to -0.002] and verbal memory -0.044 SU/y [-0.075 to -0.012]). Higher visit-to-visit variability in diastolic BP was associated with a faster decline of global cognitive function only among adults 55-64 years, independent of mean diastolic BP. Conclusion: Higher long-term BP visit-to-visit variability predicted a faster rate of cognitive decline among older adults.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Ruonan Duan ◽  
Yue Chen ◽  
Tian Qiao ◽  
Ruotong Duan ◽  
Mengxue Chen ◽  
...  

Abstract Background Early age at menarche is associated with risk of several chronic diseases. Prospective study on the association between dietary pattern and timing of menarche is sparse. We examined whether dietary patterns prior to the menarche onset were prospectively associated with menarcheal age in Chinese girls. Methods One thousand one hundred eighteen girls aged 6–13 y in the China Health and Nutrition Survey (CHNS) with three-day 24-h recalls and information on potential confounders at baseline were included in the study. Dietary patterns were identified using principal component analysis. Age at menarche was self-reported at each survey. Cox proportional hazard regression models were performed to examine the associations of premenarcheal dietary patterns and menarcheal timing. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Results Three major dietary patterns were identified: modern dietary pattern, animal food pattern, and snack food pattern. After adjustment for age at baseline, region, ethnicity, maternal education level, energy intake at baseline, and body mass index Z-score at baseline, girls in the highest quartile of modern dietary pattern score had a 33% higher probability of experiencing menarche at an earlier age than those in the lowest quartile (HR: 1.33, 95% CI: 1.002–1.77, p for trend = 0.03). No significant association was found for the animal food pattern or snack food pattern. Conclusions Higher adherence to modern dietary pattern during childhood is associated with an earlier menarcheal age. This association was independent of premenarcheal body size.


2018 ◽  
Vol 25 (4) ◽  
pp. 431-438
Author(s):  
Costela Lăcrimioara Șerban ◽  
Denis Mihai Șerban ◽  
Ștefania Ioana Butica ◽  
Diana Lungeanu

Abstract Since their publication in 1965, the Bradford Hill criteria for causality have been largely used as a framework for causal inference in epidemiology. We aim at employing this classical approach to shed new light onto the web of causation of childhood obesity. Although the fundamental cause of obesity is the long-term imbalance between energetic need and intake, this medical condition is multifactorial in its origin, influenced by genetic, behavioral, socioeconomic, and environmental factors. This imbalance leads to accumulation of excessive adipose tissue. Observational studies tend to mostly quantify association between dietary factors and accumulation of adipose tissue. On the other hand, multivariate analysis proved some of these associations to be spurious, therefore prospective trials are needed to demonstrate causality. Short term experimental studies have been conducted to identify unique dietary pattern changes on specific outcomes, but long term, community-based studies would offer more comprehensive answers on dietary pattern effects. We conducted a literature review on PubMed, Scopus, Web of Science, and Google Scholar. From a total of 323 papers identified at first stage, we further discuss the applicability of Bradford Hill criteria for 31 articles, by examples of dietary patterns and accumulation of excess body fat as exposure-response associations. We also put forward and analyzed the evidence prospective studies would bring, as foundation for future interventions.


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