scholarly journals Association between Intake of Energy and Macronutrients and Memory Impairment Severity in US Older Adults, National Health and Nutrition Examination Survey 2011–2014

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3559
Author(s):  
Qinran Liu ◽  
Jianjun Guo ◽  
Liang Hu ◽  
Nicola Veronese ◽  
Lee Smith ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
National Health ◽  
Memory Impairment ◽  
High Energy ◽  
Total Energy Intake ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Impairment Severity ◽  
With Memory

Without a cure, dementia affects about 50 million people worldwide. Understanding the effects of dietary habits, a key lifestyle behavior, on memory impairment is critical to inform early behavioral modification to delay further memory loss and progression to dementia. We examined the associations of total energy intake and energy intake from macronutrients with memory impairment among older US adults using data from the nationally representative National Health and Nutrition Examination Survey study 2011–2014. A total of 3623 participants aged ≥60 years were analyzed. Comparing to those with low total energy intake, individuals with high intake were more likely to have severe memory impairment (OR: 1.52, 95% CI: 1.15 to 2.02; ptrend = 0.005). Specifically, higher energy intake from carbohydrate (OR: 1.59, 95% CI: 1.12 to 2.26) and sugar (OR: 1.54, 95% CI: 1.11 to 2.16) were both significantly associated with the presence of memory impairment. Additionally, higher energy intake from fat, carbohydrate and sugar were significantly associated with more server memory impairment (fat: ptrend = 0.04; carbohydrate: ptrend = 0.03; sugar: ptrend = 0.02). High energy intake, either total or from carbohydrates, fat or sugar, is associated with memory impairment severity in the older US population. No such association was found in energy intake from protein.

Total energy intake of the US population: the third National Health and Nutrition Examination Survey, 1988-1991

1995 ◽  
Vol 62 (5) ◽  
pp. 1072S-1080S ◽  
Author(s):  
R R Briefel ◽  
M A McDowell ◽  
K Alaimo ◽  
C R Caughman ◽  
A L Bischof ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
National Health ◽  
Total Energy Intake ◽  
Nutrition Examination Survey ◽  
The Third ◽  
Health And Nutrition ◽  
The Us

scholarly journals Household-Specific Physical Activity Levels and Energy Intakes According to the Presence of Metabolic Syndrome in Korean Young Adults: Korean National Health and Nutrition Examination Survey 2016‒2018

2021 ◽  
Author(s):  
Young-Jun Lee ◽  
Yeon-Hee Park ◽  
Jung-Woo Lee ◽  
Eun-Sook Sung ◽  
Hyun-Seob Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Total Energy ◽  
Energy Intake ◽  
National Health ◽  
Total Energy Intake ◽  
Nutrition Examination Survey ◽  
Household Type ◽  
Health And Nutrition

Abstract Background: Participation in exercise, and dietary and nutritional intakes have an impact on the risk and prevalence of metabolic syndrome (MetS), but these effects may differ according to whether a person lives alone or in a multi-person household. We analyzed differences in physical activity (PA) levels and energy intake according to household-type and MetS presence among young adults, to investigate the relationships among these factors.Methods: Data of 3,974 young adults (aged > 19 years and < 40 years) were obtained from the Korean National Health and Nutrition Examination Survey (2016‒2018). We analyzed PA levels (occupational and recreational PA, and place movement) and energy intake (total, carbohydrate, protein, and fat). Results: Logistic regression data showed that low PA levels and higher energy intake were associated with MetS incidence and its components in young adults, after adjusting for body mass index, smoking, household-type, and sex. Overall, there was no significant difference in PA level between the MetS and non-MetS group. The total energy intake was higher in the MetS than in the non-MetS group (p < 0.05). These results were similar to those found in multi-person households. In single-person households, the MetS group had significantly lower PA levels (p < 0.01) and total energy intake (p < 0.05) than the non-MetS group.Conclusions: We found significant association among low PA levels, high energy intake, and MetS components in young Korean adults, but with patterns differing according to household type. Energy intake was higher in young adults with than those without MetS, who lived in multi-person households, while young adults with MetS who lived alone had lower PA levels and lower energy intake than those without MetS. These findings highlight the need for different approaches of implementing PA and nutrition strategies according to the type of household in order to prevent MetS.

The contribution of subsidized food commodities to total energy intake among US adults

2015 ◽  
Vol 19 (8) ◽  
pp. 1348-1357 ◽  
Author(s):  
Karen R Siegel ◽  
Kai McKeever Bullard ◽  
Mohammed K Ali ◽  
Aryeh D Stein ◽  
Henry S Kahn ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Mexican Americans ◽  
Community Dwelling ◽  
Total Energy Intake ◽  
Percentile Score ◽  
Health And Nutrition ◽  
Total Food ◽  
The Usa ◽  
Food Commodities

AbstractObjectiveThe contribution of subsidized food commodities to total food consumption is unknown. We estimated the proportion of individual energy intake from food commodities receiving the largest subsidies from 1995 to 2010 (corn, soyabeans, wheat, rice, sorghum, dairy and livestock).DesignIntegrating information from three federal databases (MyPyramid Equivalents, Food Intakes Converted to Retail Commodities, and What We Eat in America) with data from the 2001–2006 National Health and Nutrition Examination Surveys, we computed a Subsidy Score representing the percentage of total energy intake from subsidized commodities. We examined the score’s distribution and the probability of having a ‘high’ (≥70th percentile) v. ‘low’ (≤30th percentile) score, across the population and subgroups, using multivariate logistic regression.SettingCommunity-dwelling adults in the USA.SubjectsParticipants (n 11 811) aged 18–64 years.ResultsMedian Subsidy Score was 56·7 % (interquartile range 47·2–65·4 %). Younger, less educated, poorer, and Mexican Americans had higher scores. After controlling for covariates, age, education and income remained independently associated with the score: compared with individuals aged 55–64 years, individuals aged 18–24 years had a 50 % higher probability of having a high score (P<0·0001). Individuals reporting less than high-school education had 21 % higher probability of having a high score than individuals reporting college completion or higher (P=0·003); individuals in the lowest tertile of income had an 11 % higher probability of having a high score compared with individuals in the highest tertile (P=0·02).ConclusionsOver 50 % of energy in US diets is derived from federally subsidized commodities.

scholarly journals Prevalence and characteristics of misreporting of energy intake in US children and adolescents: National Health and Nutrition Examination Survey (NHANES) 2003–2012

2015 ◽  
Vol 115 (2) ◽  
pp. 294-304 ◽  
Author(s):  
Kentaro Murakami ◽  
M. Barbara E. Livingstone
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Energy Intake ◽  
National Health ◽  
Normal Weight ◽  
Activity Level ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
The Us ◽  
Us Children

AbstractUsing data from the National Health and Nutrition Examination Survey (NHANES) 2003–2012, we investigated the prevalence and characteristics of under- and over-reporting of energy intake (EI) among 14 044 US children and adolescents aged 2–19 years. For the assessment of EI, two 24-h dietary recalls were conducted with the use of the US Department of Agriculture Automated Multiple-Pass Method. Under-, plausible and over-reporters of EI were identified using two methods: based on the 95 % confidence limits (1) for agreement between the ratio of EI:BMR and a physical activity level for sedentary lifestyle (1·55) and (2) of the expected ratio of EI:estimated energy requirement (EER) of 1·0. BMR was calculated using Schofield’s equations. EER was calculated using equations from the US Dietary Reference Intakes, assuming ‘low active’ level of physical activity. The risk of being an under- or over-reporter compared with a plausible reporter was analysed using multiple logistic regression. Percentages of under-, plausible and over-reporters were 13·1, 81·5 and 5·4 %, respectively, based on EI:BMR and 18·8, 72·3 and 8·8 %, respectively, based on EI:EER. Under-reporting was associated with older age, non-Hispanic blacks (compared with non-Hispanic whites) and overweight and obesity (compared with normal weight). Over-reporting was associated with younger age, lower family poverty income ratio, normal weight and the first survey cycle. Similar findings were obtained when analysing only the first 24-h recall data from NHANES 1999–2012 (n 22 949). In conclusion, we found that EI misreporting remains prevalent and differential in US children and adolescents.

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