Diet quality, physical activity, and their association with metabolic syndrome in Korean adults

Nutrition ◽  
2019 ◽  
Vol 59 ◽  
pp. 138-144 ◽  
Author(s):  
You Jin Kim ◽  
Ji-Yun Hwang ◽  
Hyesook Kim ◽  
Saejong Park ◽  
Oran Kwon
Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1013 ◽  
Author(s):  
Laura Gallardo-Alfaro ◽  
Maria del Mar Bibiloni ◽  
Catalina M. Mascaró ◽  
Sofía Montemayor ◽  
Miguel Ruiz-Canela ◽  
...  

Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.


Author(s):  
Tae-Hyung Kim ◽  
Sang-Heon Kim ◽  
Jang Won Sohn ◽  
Ho Joo Yoon ◽  
Dong Won Park ◽  
...  

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1492-1492
Author(s):  
Suzanne Summer ◽  
Todd Jenkins ◽  
Thomas Inge ◽  
Ranjan Deka ◽  
Jane Khoury

Abstract Objectives Metabolic syndrome (MetS) is a cluster of abnormalities including abdominal obesity that increases risk for diabetes and cardiovascular disease. MetS affects ∼10% of US adolescents, but more may be at risk. The MetS severity z-score (MetS-z) is a continuous measure that may be useful for indicating MetS risk. Preventing at-risk adolescents from developing MetS may be achievable through changes in lifestyle factors such as diet and physical activity. Our objective was to evaluate the relationship of lifestyle-related factors with MetS-z in adolescents. Methods We performed a cross-sectional analysis of adolescents (12 to 19 y) from the National Health and Nutrition Examination Survey (NHANES) 2011–2016. MetS-z was calculated from sex- and race-specific equations developed for adolescents. Sagittal Abdominal Diameter (SAD, representing abdominal visceral fat) was obtained using NHANES standard procedures. Dietary intake was estimated via two 24-hour diet recall interviews and used to calculate the Healthy Eating Index (HEI)-2015 total (range 0–100) and component scores (range 0–10) indicating diet quality. Physical activity (PA, minutes/week of voluntary moderate or vigorous exercise) was reported by participants to trained interviewers and used to determine adherence to national PA guidelines of at least 60 min/day. Multivariable linear regression was used to evaluate the relationship of HEI scores, SAD and physical activity with MetS-z. Results Sample size was 1291 (49% female, 50% white) adolescents. Means (SEM) were: Age, 15.4 y (0.09); BMI z-score, 0.63 (0.04); MetS-z, −0.08 (0.03); SAD, 18.3 cm (0.14); and HEI score, 47.4 (0.46). Median min/week of PA was 178.5, with 30.4% of adolescents meeting PA guidelines. The final model (R2 = 0.53) included age, SAD (β = 0.17, P < 0.0001), HEI score (β = −0.003, P = 0.09), and physical activity (β = −0.005, P = 0.69). Conclusions US adolescents consume a poor-quality diet and less than half meet physical activity guidelines, yet as a group they have a MetS z-score <0, indicating low overall risk. SAD had a significant, positive association with MetS-z. While physical activity and diet were not significant in the model, results suggest the need for improvement of overall diet quality to potentially reduce risk of MetS and related chronic diseases in youth. Funding Sources None.


2013 ◽  
Vol 143 (7) ◽  
pp. 1074-1083 ◽  
Author(s):  
Julie-Anne Nazare ◽  
Jessica Smith ◽  
Anne-Laure Borel ◽  
Natalie Alméras ◽  
Angelo Tremblay ◽  
...  

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 719
Author(s):  
Peter D. Hart ◽  
Yeon-Soo Kim ◽  
Youngdeok Kim ◽  
Minsoo Kang

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3035
Author(s):  
Ygor Hermenegildo-López ◽  
Carolina Donat-Vargas ◽  
Helena Sandoval-Insausti ◽  
Belén Moreno-Franco ◽  
Monserrat Rodríguez-Ayala ◽  
...  

A higher energy intake (EI) at night has been associated with a higher risk of obesity, while a higher EI at lunch may protect against weight gain. This study examined the association between EI throughout the day and incident metabolic syndrome (MetS) among older adults. A cohort of 607 individuals aged ≥ 60 free from MetS at baseline was followed from 2008–2010 until 2015. At baseline, habitual EI was assessed on six eating occasions: breakfast, mid-morning snack, lunch, afternoon snack, dinner, and snacking. MetS was defined according to the harmonized definition. Statistical analyses were performed with logistic regression and adjusted for the main confounders, including total EI, diet quality, and physical activity/sedentary behavior. During follow-up, 101 new MetS cases occurred. Compared to the lowest sex-specific quartile of EI at dinner, the OR (95% confidence interval) for incident MetS were: 1.71 (0.85–3.46) in the second, 1.70 (0.81–3.54) in the third, and 2.57 (1.14–5.79) in the fourth quartile (p-trend: 0.034). Elevated waist circumference and triglycerides were the MetS components that most contributed to this association. A higher EI at dinner was associated with a higher risk of MetS in older adults. Reducing EI at dinner might be a simple strategy to prevent MetS.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L A Hoveling ◽  
A C Liefbroer ◽  
U Bültmann ◽  
N Smidt

Abstract Introduction The incidence of metabolic syndrome (MetS) strongly varies by socioeconomic status (SES). Health behaviors could be one of the mechanisms explaining the SES-MetS relationship, but little is known about their mediating role. This study aims to longitudinally asses the association between SES measures, education, income and occupational prestige, and incident MetS and whether the associations are mediated by health behaviors, including physical activity, smoking, alcohol drinking and diet quality. Methods A subsample of the adult Lifelines Cohort Study, including 85,910 participants without MetS at baseline was used. MetS was measured at the second assessment (follow-up time 3.8 years) defined according to the NCEP-ATPIII criteria. Direct associations between SES, health behaviors and incident MetS were estimated using multivariable logistic regression analyses. The mediating percentages of health behaviors explaining the associations between SES and incident MetS were estimated using the Karlson-Holm-Breen method. Analyses were independent of age, sex, the other SES measures and follow-up time. Results Education (OR 0.92, 99% CI: 0.91-0.94) and occupational prestige (OR 0.94, 99% CI: 0.91-0.97) were inversely associated with MetS. Income was not associated with MetS. Health behaviors explained only partly (13.8%) the association between education and MetS, with smoking as the strongest mediating factor (8.6%). Health behaviors played a minor role (2.7%) in explaining occupational MetS differences, with physical activity as the strongest suppressing factor (-10.4%). Conclusions Individuals with more years of education or a higher occupational prestige showed a decreased risk of developing MetS. This was mainly because of non-smoking, less often excessive alcohol drinking and a higher diet quality; however, they were more often physically inactive. Key messages Education and occupational prestige are inversely associated with MetS incidence. Health behaviors explain a small part of the SES – MetS incidence pathway, with smoking as the largest contributor.


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