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

Author(s):  
Young-Jun Lee ◽  
Yeon-Hee Park ◽  
Jung-Woo Lee ◽  
Eun-Sook Sung ◽  
Hyun-Seob Lee ◽  
...  

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.

Author(s):  
Won-Sang Jung ◽  
Hun-Young Park ◽  
Sung-Woo Kim ◽  
Kiwon Lim

This study aimed to analyze the differences in energy intake and physical activity (PA) levels according to sex and the presence of metabolic syndrome (MetS) among elderly people in Korea. Data of 3720 elderly people (aged >65 years) were obtained from the Korean National Health and Nutrition Examination Survey (2016–2018). We analyzed PA levels (occupational and recreational PA) and energy intakes (carbohydrate, protein, and fat). The MetS group showed lower levels of moderate intensity recreational PA and place movement than the non-MetS group (p < 0.05); in the MetS group, PA levels were significantly lower in women than in men (p < 0.05). The intakes of total energy, carbohydrate, fat, and protein were lower in the MetS group than in the non-MetS group (p < 0.001). Both the non-MetS and MetS groups showed lower energy intakes in women than men (p < 0.001). Our study shows that elderly people, especially women, with MetS have significantly lower total PA levels and total energy intakes. We confirmed the importance of increased PA and proper nutritional intake in elderly people. Therefore, it is believed that practical measures such as nutrition education and nutrition guidance and PA education are urgently needed to reduce the incidence of MetS among the elderly.


2016 ◽  
Vol 19 (13) ◽  
pp. 2424-2434 ◽  
Author(s):  
Luis A Rodríguez ◽  
Kristine A Madsen ◽  
Carolyn Cotterman ◽  
Robert H Lustig

AbstractObjectiveTo examine the association between added sugar intake and metabolic syndrome among adolescents.DesignDietary, serum biomarker, anthropometric and physical activity data from the US National Health and Nutrition Examination Survey cycles between 2005 and 2012 were analysed using multivariate logistic regression models. Added sugar intake in grams per day was estimated from two 24 h standardized dietary recalls and then separated into quintiles from lowest to highest consumption. Multivariate logistic regression analyses were adjusted for physical activity, age, BMI Z-score and energy intake, and their interactions with race were included.SettingNationally representative sample, USA.SubjectsUS adolescents aged 12–19 years (n 1623).ResultsAdded sugar was significantly associated with metabolic syndrome. The adjusted prevalence odds ratios for having metabolic syndrome comparing adolescents in the third, fourth and fifth quintiles v. those in the lowest quintile of added sugar were 5·3 (95 % CI 1·4, 20·6), 9·9 (95 % CI 1·9, 50·9) and 8·7 (95 % CI 1·4, 54·9), respectively.ConclusionsOur findings suggest that higher added sugar intake, independent of total energy intake, physical activity or BMI Z-score, is associated with increased prevalence of metabolic syndrome in US adolescents. Further studies are needed to determine if reducing intake of added sugar may help US adolescents prevent or reverse metabolic syndrome.


1995 ◽  
Vol 62 (5) ◽  
pp. 1072S-1080S ◽  
Author(s):  
R R Briefel ◽  
M A McDowell ◽  
K Alaimo ◽  
C R Caughman ◽  
A L Bischof ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3559
Author(s):  
Qinran Liu ◽  
Jianjun Guo ◽  
Liang Hu ◽  
Nicola Veronese ◽  
Lee Smith ◽  
...  

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.


2015 ◽  
Vol 35 (12) ◽  
pp. 1070-1078 ◽  
Author(s):  
Byung Chul Kim ◽  
Mee Kyoung Kim ◽  
Kyungdo Han ◽  
Sae-Young Lee ◽  
Seung-Hwan Lee ◽  
...  

2015 ◽  
Vol 115 (2) ◽  
pp. 294-304 ◽  
Author(s):  
Kentaro Murakami ◽  
M. Barbara E. Livingstone

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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