scholarly journals A latent class analysis of dietary behaviours associated with metabolic syndrome: a retrospective observational cross-sectional study

2020 ◽  
Author(s):  
Jung Ha Park ◽  
Ju Young Kim ◽  
So Hye Kim ◽  
Jung Hyun Kim ◽  
Young Mi Park ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Latent Class Analysis ◽  
Body Mass ◽  
Latent Class ◽  
Eating Behaviour ◽  
Dietary Behaviour ◽  
Class Analysis ◽  
Cross Sectional ◽  
Dietary Behaviours

Abstract Background: Obesity defined solely by body mass index may not reflect the true heterogeneity of the obese population. This study aimed to classify the dietary behaviours of obese individuals and to explore the relationship between patterns of dietary behaviour and cardiometabolic risk factors. Methods: A total of 259 patients who visited an outpatient weight management clinic at a tertiary hospital and underwent a dietary behaviour assessment between January 2014 and February 2019 were enrolled in the study. Dietary behaviours were assessed in three domains with nine categories, including choice of food (frequently eating out, instant/fast/takeaway food), eating behaviour (irregular meals; frequent snacking, including eating at night; emotional eating; and overeating/binge eating), and nutrient intake (high-fat/high-calorie foods, salty food, and poorly balanced diet). Latent class analysis (LCA) was used to classify the subjects according to these categories. Associations between latent class and metabolic syndrome were assessed by logistic regression. Results: The subjects were classified into three LCA-driven classes, including a referent class of healthy eaters (n=118), a class of emotional eaters (n=53), and a class of irregular unhealthy eaters (n=88). Compared with the referent class, emotional eaters had a significantly higher body mass index (beta=3.40, P<0.001) accompanied by metabolic syndrome (odds ratio 2.88, 95% confidence interval 1.16–7.13). Conclusions: Our three LCA-driven obesity phenotypes could be useful for assessment and management of obesity and metabolic syndrome. The association between higher BMI and metabolic syndrome was stronger in emotional eaters than in healthy eaters and irregular unhealthy eaters. Emotional eaters might benefit from emotional regulation strategies.

scholarly journals Dietary behaviours associated with metabolic syndrome: a latent class analysis

2020 ◽  
Author(s):  
Jung Ha Park ◽  
Ju Young Kim ◽  
So Hye Kim ◽  
Jung Hyun Kim ◽  
Young Mi Park ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Latent Class Analysis ◽  
Body Mass ◽  
Emotional Eating ◽  
Latent Class ◽  
Eating Behaviour ◽  
Dietary Behaviour ◽  
Class Analysis ◽  
Dietary Behaviours

Abstract Background Obese individuals have a number of dietary behaviours that might contribute to their weight-related health risks. However, obesity defined solely by body mass index may not reflect the true heterogeneity of the obese population. The aims of this study were to classify the dietary behaviours of obese individuals into subgroups and to explore the relationship between their patterns of dietary behaviour and cardiometabolic risk factors. Methods The study participants were 259 patients who visited an outpatient weight management clinic at a tertiary hospital and underwent a dietary behaviour assessment between January 2014 and February 2019. Dietary behaviours were assessed in three domains with nine categories, including choice of food (frequent eating out, instant/fast/takeaway food), eating behaviour (irregular meals, frequent snacking, including eating at night, emotional eating, and overeating/binge eating), and nutrient intake (high fat/high calorie foods, salty food, and poorly balanced diet). Latent class analysis (LCA) was used to classify the subjects according to these nine categories of dietary behaviour. Associations between latent class and metabolic syndrome were assessed in a logistic regression model. Results Based on their dietary behaviour, the subjects were classified into three LCA-driven classes, including a referent class of healthy eaters (n=118), a class of emotional eaters (n=53), and a class of irregular unhealthy eaters (n=88). Compared with the referent class, emotional eaters had a significantly higher body mass index (beta=3.40, P<0.001) and metabolic syndrome (odds ratio 2.88, 95% confidence interval 1.16–7.13). Conclusions Our finding of three LCA-driven obesity phenotypes could be useful for assessment and management of obesity and metabolic syndrome. The association between higher BMI and metabolic syndrome was stronger in emotional eaters than in healthy eaters and irregular unhealthy eaters. Emotional eaters might benefit from emotional regulation strategies.

scholarly journals A latent class analysis of dietary behaviours associated with metabolic syndrome: a retrospective observational cross-sectional study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Jung Ha Park ◽  
Ju Young Kim ◽  
So Hye Kim ◽  
Jung Hyun Kim ◽  
Young Mi Park ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Latent Class Analysis ◽  
Emotional Eating ◽  
Latent Class ◽  
Eating Behaviour ◽  
The Body ◽  
Dietary Behaviour ◽  
Class Analysis ◽  
Cross Sectional ◽  
Dietary Behaviours

Abstract Background Obesity defined solely by the Body Mass Index (BMI) may not reflect the true heterogeneity of the obese population. This study aimed to classify the dietary behaviours of overweight and obese individuals and to explore the relationship between patterns of dietary behaviour and cardiometabolic risk factors. Methods A total of 259 patients who visited an outpatient weight management clinic at a tertiary hospital and underwent a dietary behaviour assessment between January 2014 and February 2019 were enrolled in the study. Dietary behaviours were assessed in three domains with nine categories, including choice of food (frequently eating out and consumption of instant/fast/takeaway food), eating behaviour (irregular meals; frequent snacking, including eating at night; emotional eating; and overeating/binge eating), and nutrient intake (high-fat/high-calorie foods, salty food, and poorly balanced diet). Latent class analysis (LCA) was used to classify the subjects according to these categories. Associations between latent class and metabolic syndrome were assessed by logistic regression. Results The subjects were classified into three LCA-driven classes, including a referent class of healthy but unbalanced eaters (n = 118), a class of emotional eaters (n = 53), and a class of irregular unhealthy eaters (n = 88). Compared with the referent class, emotional eaters had a significantly higher BMI (beta = 3.40, P < 0.001) accompanied by metabolic syndrome (odds ratio 2.88, 95% confidence interval 1.16–7.13). Conclusions Our three LCA-driven obesity phenotypes could be useful for assessment and management of obesity and metabolic syndrome. The association between emotional eaters and higher BMI and metabolic syndrome was stronger than that with other eaters. Thus, emotional regulation strategies might have benefit for emotional eater’s diet.

scholarly journals A latent class analysis of dietary behaviours associated with metabolic syndrome: a retrospective observational cross-sectional study

2020 ◽  
Author(s):  
Jung Ha Park ◽  
Ju Young Kim ◽  
So Hye Kim ◽  
Jung Hyun Kim ◽  
Young Mi Park ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Latent Class Analysis ◽  
Emotional Eating ◽  
Latent Class ◽  
Eating Behaviour ◽  
The Body ◽  
Dietary Behaviour ◽  
Class Analysis ◽  
Cross Sectional ◽  
Dietary Behaviours

Abstract Background: Obesity defined solely by the Body Mass Index (BMI) may not reflect the true heterogeneity of the obese population. This study aimed to classify the dietary behaviours of overweight and obese individuals and to explore the relationship between patterns of dietary behaviour and cardiometabolic risk factors.Methods: A total of 259 patients who visited an outpatient weight management clinic at a tertiary hospital and underwent a dietary behaviour assessment between January 2014 and February 2019 were enrolled in the study. Dietary behaviours were assessed in three domains with nine categories, including choice of food (frequently eating out and consumption of instant/fast/takeaway food), eating behaviour (irregular meals; frequent snacking, including eating at night; emotional eating; and overeating/binge eating), and nutrient intake (high-fat/high-calorie foods, salty food, and poorly balanced diet). Latent class analysis (LCA) was used to classify the subjects according to these categories. Associations between latent class and metabolic syndrome were assessed by logistic regression.Results: The subjects were classified into three LCA-driven classes, including a referent class of healthy but unbalanced eaters (n=118), a class of emotional eaters (n=53), and a class of irregular unhealthy eaters (n=88). Compared with the referent class, emotional eaters had a significantly higher BMI (beta=3.40, P<0.001) accompanied by metabolic syndrome (odds ratio 2.88, 95% confidence interval 1.16–7.13).Conclusions: Our three LCA-driven obesity phenotypes could be useful for assessment and management of obesity and metabolic syndrome. The association between emotional eaters and higher BMI and metabolic syndrome was stronger than that with other eaters. Thus, emotional regulation strategies might have benefit for emotional eater’s diet.

scholarly journals Disentangling women's responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis

2006 ◽  
Vol 9 (2) ◽  
pp. 204-211 ◽  
Author(s):  
Sabu S Padmadas ◽  
José G Dias ◽  
Frans J Willekens
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Daily Basis ◽  
Vegetarian Diet ◽  
Dietary Behaviour ◽  
Mixed Diet ◽  
Class Analysis ◽  
Cross Sectional ◽  
Diet Mixing ◽  
Very High

AbstractObjectiveTo investigate the degree of individual heterogeneity related to complex dietary behaviour and to further examine the associations of different dietary compositions with selected characteristics.DesignLatent class analysis was applied to data from the recent cross-sectional National Family Health Survey that collected information on the intake frequency of selected foods. Different responses regarding intake frequency were condensed into a set of five meaningful latent clusters representing different dietary patterns and these clusters were then labelled based on the reported degree of diet mixing.SettingIndian states.SubjectsIn total, 90 180 women aged 15–49 years.ResultsThree clusters were predominantly non-vegetarian and two were vegetarian. A very high or high mixed-diet pattern was observed particularly in the southern and a few north-eastern states. Many women in the very high mixed-diet cluster consumed mostly non-green/leafy vegetables on a daily basis, and fruits and other non-vegetarian diet on a weekly basis. In contrast, those in the low mixed-diet cluster consumed more than three-fifths of the major vegetarian diet ingredients alone on a daily basis. The affluent group that represented the low mixed-diet cluster were primarily vegetarians and those who represented the very high mixed-diet cluster were mostly non-vegetarians. The significant interrelationships of different characteristics highlight not only socio-economic, spatial and cultural disparities related to dietary practices, but also the substantial heterogeneity in diet mixing behaviour.ConclusionsThe results of this study confirmed our hypothesis of heterogeneous dietary behaviour of Indian women and yielded useful policy-oriented results which might be difficult to establish otherwise.

scholarly journals Latent class analysis of obesity‐related characteristics and associations with body mass index among young children

2020 ◽  
Vol 6 (4) ◽  
pp. 390-400
Author(s):  
Laura N. Anderson ◽  
Ravinder Sandhu ◽  
Charles D.G. Keown‐Stoneman ◽  
Vanessa De Rubeis ◽  
Cornelia M. Borkhoff ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Children ◽  
Latent Class Analysis ◽  
Body Mass ◽  
Latent Class ◽  
Class Analysis

scholarly journals Eating behaviour, physical activity, TV exposure and sleeping habits in five year olds: a latent class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Molly Mattsson ◽  
Deirdre M. Murray ◽  
Mairead Kiely ◽  
Fergus P. McCarthy ◽  
Elaine McCarthy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Eating Behaviour ◽  
Overweight And Obesity ◽  
Class Analysis ◽  
Class Membership ◽  
Active Play ◽  
Food Avoidance ◽  
Cluster Membership

Abstract Background Diet, physical activity, sedentary behaviours, and sleep time are considered major contributory factors of the increased prevalence of childhood overweight and obesity. The aims of this study were to (1) identify behavioural clusters of 5 year old children based on lifestyle behaviours, (2) explore potential determinants of class membership, and (3) to determine if class membership was associated with body measure outcomes at 5 years of age. Methods Data on eating behaviour, engagement in active play, TV watching, and sleep duration in 1229 5 year old children from the Cork BASELINE birth cohort study was obtained through in-person interviews with parent. Latent class analysis was used to identify behavioural clusters. Potential determinants of cluster membership were investigated using multinomial logistic regression. Associations between the identified classes and cardio metabolic body measures were examined using multivariate logistic and linear regression, with cluster membership used as the independent variable. Results 51% of children belonged to a normative class, while 28% of children were in a class characterised by high scores on food avoidance scales in combination with low enjoyment of food, and 20% experienced high scores on the food approach scales. Children in both these classes had lower conditional probabilities of engaging in active play for at least 1 hour per day and sleeping for a minimum of 10 h, and higher probability of watching TV for 2 hours or more, compared to the normative class. Low socioeconomic index (SEI) and no breastfeeding at 2 months were found to be associated with membership of the class associated with high scores on the food avoidance scale, while lower maternal education was associated with the class defined by high food approach scores. Children in the class with high scores on the food approach scales had higher fat mass index (FMI), lean mass index (LMI), and waist-to-height ratio (WtHR) compared to the normative class, and were at greater risk of overweight and obesity. Conclusion Findings suggest that eating behaviour appeared to influence overweight and obesity risk to a greater degree than activity levels at 5 years old. Further research of how potentially obesogenic behaviours in early life track over time and influence adiposity and other cardio metabolic outcomes is crucial to inform the timing of interventions.

Sign in / Sign up

Export Citation Format

Share Document