Dietary behaviours associated with metabolic syndrome: a latent class analysis

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.

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

10.21203/rs.3.rs-40808/v1 ◽

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.

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

Nutrition Journal ◽

10.1186/s12937-020-00636-7 ◽

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.

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

10.21203/rs.3.rs-40808/v2 ◽

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.

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Latent class analysis of the association between polycyclic aromatic hydrocarbon exposures and body mass index

Environment International ◽

10.1016/j.envint.2018.09.016 ◽

2018 ◽

Vol 121 ◽

pp. 227-231 ◽

Cited By ~ 2

Author(s):

Michael Hendryx ◽

Juhua Luo

Keyword(s):

Body Mass Index ◽

Polycyclic Aromatic Hydrocarbon ◽

Aromatic Hydrocarbon ◽

Latent Class Analysis ◽

Body Mass ◽

Latent Class ◽

Class Analysis ◽

Polycyclic Aromatic

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

Obesity Science & Practice ◽

10.1002/osp4.414 ◽

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

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Pattern of body mass index, chronic diseases, and physical component of quality of life in a population in North of Iran: A latent class analysis

Medical Journal of the Islamic Republic of Iran ◽

10.14196/mjiri.32.109 ◽

2018 ◽

pp. 635-640

Author(s):

Ali Gholami ◽

Farhad Zamani ◽

Elham Zandian ◽

Masoudreza Sohrabi ◽

Farhad Moradpour ◽

...

Keyword(s):

Quality Of Life ◽

Body Mass Index ◽

Latent Class Analysis ◽

Chronic Diseases ◽

Body Mass ◽

Latent Class ◽

Class Analysis ◽

North Of Iran

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Slowing down of adult body mass index trend increases in England: a latent class analysis of cross-sectional surveys (1992–2010)

International Journal of Obesity ◽

10.1038/ijo.2013.161 ◽

2013 ◽

Vol 38 (6) ◽

pp. 818-824 ◽

Cited By ~ 27

Author(s):

M Sperrin ◽

A D Marshall ◽

V Higgins ◽

I E Buchan ◽

A G Renehan

Keyword(s):

Body Mass Index ◽

Latent Class Analysis ◽

Body Mass ◽

Latent Class ◽

Class Analysis ◽

Cross Sectional ◽

Slowing Down ◽

Adult Body Mass ◽

Adult Body ◽

Adult Body Mass Index

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

BMC Pediatrics ◽

10.1186/s12887-021-02640-0 ◽

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.

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Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

BMC Psychiatry ◽

10.1186/s12888-021-03537-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Abbas Abbasi-Ghahramanloo ◽

Mohammadkarim Bahadori ◽

Esfandiar Azad ◽

Nooredin Dopeykar ◽

Parisa Mahdizadeh ◽

...

Keyword(s):

Metabolic Syndrome ◽

Mental Disorders ◽

Latent Class Analysis ◽

Latent Class ◽

Adult Population ◽

Class Analysis ◽

Class Membership ◽

Anthropometric Measures ◽

Military Unit

Abstract Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

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