Dietary Patterns Independent of Fast Food Are Associated with Obesity among Korean Adults: Korea National Health and Nutrition Examination Survey 2010–2014

Kim, Do-Yeon; Ahn, Ah-Leum; Lee, Hansongyi; Choi, Jaekyung; Lim, Hyunjung

doi:10.3390/nu11112740

Cited by 12 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although intake of the FFS pattern in this study does not increase carbohydrate intake, the risk of metabolic syndrome could be increased as it is related to increased fat intake and associated with increased risk of insulin resistance. Also, one other study said that even though fast food is known to be unhealthy, unhealthy dietary patterns including fast food have a stronger correlation with metabolic disorders than fast food consumption on its own [ 33 ]. Therefore, we should carefully consider whether eating the FFS pattern might contribute to metabolic syndrome.…”

Section: Discussionmentioning

confidence: 99%

Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents

Lee

Kim

et al. 2021

Nutrients

Self Cite

View full text Add to dashboard Cite

Unhealthy dietary patterns are associated with obesity in children and adolescents. However, few studies have investigated the relationships between dietary patterns and obesity-related metabolic disorders among Asians. We identified dietary patterns in children and adolescents and examined the associations between these patterns and obesity, insulin resistance, and metabolic syndrome in South Korea. This study is a cross-sectional design. We used baseline data from an intervention study of 435 Korean children and adolescents aged 6–17 years. Insulin resistance was assessed as HOMA-IR ≥ 2.6. Metabolic syndrome was diagnosed by cardiovascular disease risk factor clustering. Dietary intakes were estimated using 3-day food records. Factor analysis was used to obtain dietary patterns, and we examined the associations between dietary patterns and obesity-related markers adjusted for potential covariates. Three dietary patterns were identified as fast food and soda (FFS), white rice and kimchi (WRK), and oil and seasoned vegetable (OSV) patterns. Compared with participants in the lower intake of FFS pattern, those in the top intake were associated with a higher waist circumference (WC) (β = 1.55), insulin level (β = 1.25), and body mass index (BMI) (β = 0.53) and it was positively associated with HOMA-IR ≥ 2.6 (OR = 2.11; 95% CI: 1.227–3.638) (p < 0.05). WRK pattern was associated with lower weight and higher HDL cholesterol, and the OSV pattern was associated with a lower weight, WC, and insulin level (p < 0.05). The FFS pattern showed a positive relation with WC, serum insulin, and BMI, and the other two dietary patterns indicated a preventive effect of those parameters. The FFS pattern was associated with significantly elevated insulin resistance among children and adolescents.

show abstract

Section: Discussionmentioning

confidence: 99%

Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents

Lee

Kim

et al. 2021

Nutrients

Self Cite

View full text Add to dashboard Cite

show abstract

“…No communication process with the researchers of the studies was required for verification or clarification of the data because data presented in the manuscripts were considered adequate. From these studies, nine were conducted in Asia (People’s Republic of China (Shi et al, 2008, 2011), Korea (Cho et al, 2011; Kim et al, 2012, 2019), Singapore (Whitton et al, 2018), Iran (Hosseini-Esfahani et al, 2012), Lebanon (Matta et al, 2016), India (Satija et al, 2015)), five in the USA (Boggs et al, 2011; Gadgil et al, 2015; Newby et al, 2003, 2004; Schulze et al, 2006), five in South America (Brazil (Cunha et al, 2010; Machado Arruda et al, 2016; Silveira, et al, 2018), Mexico (Denova-Gutiérrez et al, 2011; Flores et al, 2010)), four in Oceania (Australia (Arabshahi et al, 2016; Livingstone and McNaughton, 2017, 2018), New Zealand (Schrijvers et al, 2016)) and three in Europe (Denmark (Togo et al, 2004), Germany (Schulz et al, 2005), Greece (Karfopoulou et al, 2017)). Nine of the studies were prospective (Arabshahi et al, 2016; Boggs et al, 2011; Hosseini-Esfahani et al, 2012; Newby et al, 2003, 2004; Schulz et al, 2005; Schulze et al, 2006; Shi et al, 2011; Togo et al, 2004) and the rest of them had a cross-sectional design (Cho et al, 2011; Cunha et al, 2010; Denova-Gutiérrez et al, 2011; Flores et al, 2010; Gadgil et al, 2015; Karfopoulou et al, 2017; Kim et al, 2012, 2019; Livingstone and McNaughton, 2017, 2018; Machado Arruda et al, 2016;…”

Section: Resultsmentioning

confidence: 99%

“…Each study involved from 123 to 24,958 adult men and/or women with normal body weight, overweight or obesity. Participants’ dietary intake was assessed using 24-hour dietary recalls in six studies (Karfopoulou et al, 2017; Kim et al, 2012, 2019; Livingstone and McNaughton, 2017, 2018; Silveira, et al, 2018), and 7-days dietary records in two studies (Newby et al, 2003, 2004), whereas validated food frequency questionnaires were used in the remaining studies.…”

Section: Resultsmentioning

confidence: 99%

Examining the associations between a posteriori dietary patterns and obesity indexes: Systematic review of observational studies

et al. 2021

View full text Add to dashboard Cite

Background: Few reports on the association of population-derived dietary patterns with excess body weight, using the approach of a systematic review currently exist. Aim: The aim of the present systematic review was to identify dietary patterns associated with body mass index (BMI), body weight (BW)/BMI change, weight status and weight loss maintenance status. Methods: Using MEDLINE (via PubMed) and EBSCO Host databases, we systematically reviewed studies from 1980 to 2020, which included men and women, aged ≥18 years. Primary outcome was BMI or the longitudinal change of individuals’ BW or BMI, or weight status (normal weight/overweight/obesity) or weight loss maintenance status. We included observational studies, with or without a prospective design. Studies which met the inclusion criteria were evaluated based on the Newcastle–Ottawa Scale; only a posteriori dietary patterns were evaluated. Results: Twenty-six studies were eligible for inclusion in the current analysis. The results indicate a relationship between adherence to a lacto-vegetarian dietary pattern, characterized by high intake of fruits, vegetables, whole grains, unprocessed cereals, dairy and low intake of high-fat foods and sweets, and longitudinal change of individuals’ BW or BMI, or the risk of overweight/obesity. Conclusions: Promotion of this healthy dietary pattern, as an alternative to focusing on specific nutrients or foods, may be a promising approach to be included in future long-term weight maintenance interventions.

show abstract

“…First, there may be other dominant factors that have significant effects on the development of NCDs [ 44 ]. This study did not adjust for gender, age, and diet, which have shown effects on NCDs in several studies that used larger datasets [ 45 , 46 , 47 , 48 , 49 ]. Nevertheless, some studies included the factors in the analyses with relatively smaller datasets [ 50 , 51 , 52 ].…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach

Jeong

Park

Pobil

2021

IJERPH

View full text Add to dashboard Cite

Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination Survey. After filtering incomplete responses, 5462 valid responses remained. Items including one’s social-environmental factors (household income, education level, and region), behavioral factors (alcohol use, tobacco use, and physical activity), and NCDs histories were used for analyses. To develop a comprehensive index of each factor that allows comparison between different concepts, the researchers assigned scores to indicators of the factors and calculated a ratio of the scores. A series of path analyses were conducted to determine the extent of relationships among NCDs and risk factors. The results showed that social-environmental factors have notable effects on stroke, myocardial infarction, angina, diabetes, and gastric, liver, colon, lung, and thyroid cancers. The results indicate that the effects of social-environmental and behavioral risk factors on NCDs vary across the different types of diseases. The effects of social-environmental factors and behavioral risk factors significantly affected NCDs. However, the effect of social-environmental factors on behavioral risk factors was not supported. Furthermore, social-environmental factors and behavioral risk factors affect NCDs in a similar way. However, the effects of behavioral risk factors were smaller than those of social-environmental factors. The current research suggests taking a comprehensive view of risk factors to further understand the antecedents of NCDs in South Korea.

show abstract

Dietary Patterns Independent of Fast Food Are Associated with Obesity among Korean Adults: Korea National Health and Nutrition Examination Survey 2010–2014

Cited by 12 publications

References 29 publications

Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents

Association of Dietary Patterns with Weight Status and Metabolic Risk Factors among Children and Adolescents

Examining the associations between a posteriori dietary patterns and obesity indexes: Systematic review of observational studies

Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach

Contact Info

Product

Resources

About