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 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 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 ◽  
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 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 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.

scholarly journals Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast

2017 ◽  
Vol 20 (6) ◽  
pp. 814-825
Author(s):  
Rita de Cássia Hoffmann Leão ◽  
Vanessa de Lima Silva ◽  
Rafael da Silveira Moreira
Keyword(s):  
Latent Class Analysis ◽  
Associated Factors ◽  
Latent Class ◽  
Descriptive Analysis ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Class Analysis ◽  
Elderly Men ◽  
Cross Sectional ◽  
Low Levels

Abstract Objective: to identify the prevalence of depression in elderly men and associated factors using Latent Class Analysis. Method: a cross-sectional, epidemiological study evaluating 162 Primary Care users resident in the community in Recife, Brazil, was carried out. The Yesavage Geriatric Depression Scale was used as a screening instrument. The study was based on descriptive analysis and Latent Class Analysis, which allows the indirect measurement of the phenomenon of Depression by measuring the latent phenomenon of depression through 15 directly observed questions/answers from the scale used followed by ordinal logistic regression. Results: Elderly men with up to four years of schooling had a 2.43 times greater chance of developing depression. Those with normal levels of cortisol were less likely to become depressed while elderly men with low levels of Vitamin D and testosterone and high levels of thyroid stimulating hormones (TSH) were more likely to be depressed. The prevalence of the highest level of depression in the study population was 29% and was associated with low levels of education and alterations in the clinical data investigated. Conclusion: The study concluded that Latent Class Analysis allowed an innovative perspective of the phenomenon of depression and its relationship with associated factors, allowing a better and broader approach to this phenomenon in clinical practice.

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

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.

Who Are Gun Owners in the United States? A Latent Class Analysis of the 2019 National Lawful Use of Guns Survey

2021 ◽  
pp. 073112142110286
Author(s):  
Claire Boine ◽  
Kevin Caffrey ◽  
Michael Siegel
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
The United States ◽  
The Body ◽  
Political Affiliation ◽  
Class Analysis ◽  
Second Amendment ◽  
Family Tradition ◽  
Group 12 ◽  
Symbolic Meanings

We used data from the 2019 National Lawful Use of Guns Survey to segment the gun-owning population into different subcultural categories. Performing a latent class analysis, we introduce six types of indicators: (1) the types of firearm owned, (2) the reported primary reason for owning a firearm, (3) involvement in various gun-related activities, (4) Second Amendment activism, (5) the extent to which those in one’s social network own guns, and (6) measures of symbolic meanings attached to firearms. We introduce gender, race, U.S. region, and political affiliation as covariates. We find six classes of gun owners. The largest group (28 percent) is composed of family protectors who go to the shooting range and feel empowered by their guns. The second largest category (19 percent) is made up of incidental gun owners motivated by protection or family tradition. The third group (18 percent) consists of Second Amendment activists who engage in multiple gun-related activities and are resistant to social change. The fourth category (13 percent) contains target shooters. The fifth group (12 percent) is made up of hunters. The sixth category (11 percent), self-protectors, has a majority of women (51 percent). Our findings add to a very recent body of literature on variations in the meanings that guns have for people. In particular, we demonstrate that there are stark cultural differences between gun owners and that the body of existing research on this topic has mostly focused on the Second Amendment activists, who only represent about 18 percent of all gun owners.

scholarly journals Which are the Nutritional Supplements Used by Beach-Volleyball Athletes? A Cross-Sectional Study at the Italian National Championship

Sports ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 31 ◽  
Author(s):  
Stefano Amatori ◽  
Davide Sisti ◽  
Fabrizio Perroni ◽  
Samuel Impey ◽  
Michela Lantignotti ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Nutritional Supplements ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Sports Performance ◽  
Sectional Study ◽  
Pragmatic Approach ◽  
Cross Sectional ◽  
The Face

Beach volleyball is an intermittent team sport played under high temperature and humidity. Given that some nutritional supplements can enhance sports performance, this study aimed to evaluate the quantity and the heterogeneity of the nutritional supplementation practices of amateur (n = 69) and professional (n = 19) beach volley athletes competing in the Italian National Championship; an online form was used to collect data about the supplementation habits. The latent class analysis was used to find sub-groups characterised by different habits regarding supplements consumption. The most frequently used supplements (more than once a week) are vitamins B and C (39.2% of athletes), protein (46.8%), and caffeine (36.9%). The latent class analysis revealed three different sub-groups of athletes: the first class (56.7%) included athletes who were used to take very few supplements, the second class (17.0%) was characterised by higher consumption of supplements and the third class (26.2%) was in the middle between the others two. Groups were characterised not only by the quantity but also by the category of supplements used. Our results highlighted a high heterogeneity in supplementation habits. A pragmatic approach to supplements and sports foods is needed in the face of the evidence that some products can usefully contribute to enhancing performance.

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