scholarly journals Generational differences in dietary pattern among Brazilian adults born between 1934 and 1975: a latent class analysis

2018 ◽  
Vol 21 (16) ◽  
pp. 2929-2940 ◽  
Author(s):  
Ilana Nogueira Bezerra ◽  
Nila Mara Smith Galvão Bahamonde ◽  
Dirce Maria Lobo Marchioni ◽  
Dóra Chor ◽  
Letícia de Oliveira Cardoso ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Baby Boomers ◽  
Generation X ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Generational Differences ◽  
Latent Class ◽  
Adult Health ◽  
Class Analysis ◽  
Cross Sectional

AbstractObjectiveTo identify generational differences in the dietary patterns of Brazilian adults born between 1934 and 1975.DesignA cross-sectional study from the baseline of the multicentre Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. Year of birth was categorized into three birth generations: Traditionalists (born between 1934 and 1945); Baby Boomers (born between 1946 and 1964); and Generation X (born between 1965 and 1975). Food consumption was investigated using an FFQ. Latent class analysis (LCA) was used to identify data-driven dietary patterns.SettingBrazil.SubjectsIndividuals (n 15 069) aged 35–74 years.ResultsA three-class model was generated from the LCA for each birth generation. Generation X presented higher energy intakes (kJ/kcal) from soft drinks (377·4/90·2) and sweets (1262·3/301·7) and lower energy intakes from fruit (1502·5/359·1) and vegetables (311·3/74·4) than Baby Boomers (283·7/67·8, 1047·7/250·4, 1756·0/419·7 and 365·3/87·3, respectively) and Traditionalists (186·2/44·5, 518·8/124·0, 1947·7/465·5 and 404·6/96·7, respectively). For Baby Boomers and Generation X, we found food patterns with similar structures: mixed pattern (22·7 and 29·7 %, respectively), prudent pattern (43·5 and 34·9 %, respectively) and processed pattern (33·8 and 35·4 %, respectively). Among Traditionalists, we could also identify mixed (30·9 %) and prudent (21·8 %) patterns, and a third pattern, named restricted dietary pattern (47·3 %).ConclusionsThe younger generation presented higher frequencies of consuming a pattern characterized by a low nutritional diet, compared with other generations, indicating that they may age with a greater burden of chronic diseases. It is important to develop public health interventions promoting healthy foods, focusing on the youngest generations.

scholarly journals Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis

2021 ◽  
Vol 37 (9) ◽  
Author(s):  
Sheila Maria Alvim Matos ◽  
Leila Denise Alves Ferreira Amorim ◽  
Francisco José Gondim Pitanga ◽  
Ana Luísa Patrão ◽  
Sandhi M. Barreto ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Variables ◽  
Skin Color ◽  
Latent Class ◽  
Multivariate Logistic Regression Analysis ◽  
Social Position ◽  
Adult Health ◽  
Class Analysis ◽  
Cross Sectional ◽  
Anthropometric Status

Abstract: The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women’s weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.

scholarly journals Identifying co-occurrence and clustering of chronic diseases using latent class analysis: cross-sectional findings from SAGE South Africa Wave 2

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e041604
Author(s):  
Glory Chidumwa ◽  
Innocent Maposa ◽  
Barbara Corso ◽  
Nadia Minicuci ◽  
Paul Kowal ◽  
...  
Keyword(s):  
South Africa ◽  
Latent Class Analysis ◽  
South African ◽  
Latent Class ◽  
Cross Sectional Study ◽  
Health Conditions ◽  
Relative Risk Ratio ◽  
Adult Health ◽  
Class Analysis ◽  
Cross Sectional

ObjectivesTo classify South African adults with chronic health conditions for multimorbidity (MM) risk, and to determine sociodemographic, anthropometric and behavioural factors associated with identified patterns of MM, using data from the WHO’s Study on global AGEing and adult health South Africa Wave 2.DesignNationally representative (for ≥50-year-old adults) cross-sectional study.SettingAdults in South Africa between 2014 and 2015.Participants1967 individuals (men: 623 and women: 1344) aged ≥45 years for whom data on all seven health conditions and socioeconomic, demographic, behavioural, and anthropological information were available.MeasuresMM latent classes.ResultsThe prevalence of MM (coexistence of two or more non-communicable diseases (NCDs)) was 21%. The latent class analysis identified three groups namely: minimal MM risk (83%), concordant (hypertension and diabetes) MM (11%) and discordant (angina, asthma, chronic lung disease, arthritis and depression) MM (6%). Using the minimal MM risk group as the reference, female (relative risk ratio (RRR)=4.57; 95% CI (1.64 to 12.75); p =0.004) and older (RRR=1.08; 95% CI (1.04 to 1.12); p<0.001) participants were more likely to belong to the concordant MM group, while tobacco users (RRR=8.41; 95% CI (1.93 to 36.69); p=0.005) and older (RRR=1.09; 95% CI (1.03 to 1.15); p=0.002) participants had a high likelihood of belonging to the discordant MM group.ConclusionNCDs with similar pathophysiological risk profiles tend to cluster together in older people. Risk factors for MM in South African adults include sex, age and tobacco use.

Association between dietary patterns and risk of breast cancer in Chinese female population: a latent class analysis

2020 ◽  
pp. 1-24
Author(s):  
Shang Cao ◽  
Shurong Lu ◽  
Jinyi Zhou ◽  
Zheng Zhu ◽  
Wei Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Latent Class Analysis ◽  
Dietary Patterns ◽  
Latent Class ◽  
Chinese Women ◽  
Premenopausal Women ◽  
Positive Association ◽  
Class Analysis ◽  
Female Population ◽  
Soy Foods

ABSTRACT Objective: To determine if specific dietary patterns are associated with breast cancer risk in Chinese women. Design: Latent class analysis (LCA) was performed to identify generic dietary patterns based on daily food-frequency data. Setting: The Chinese Wuxi Exposure and Breast Cancer Study (2013-2014). Participants: A population-based case-control study (695 cases, 804 controls). Results: Four dietary patterns were identified, Prudent, Chinese traditional, Western, and Picky, the proportion in the controls and cases were 0.30/0.32/0.16/0.23 and 0.29/0.26/0.11/0.33, respectively. Women in Picky class were characterized by higher extreme probabilities of non-consumption on specific foods, the highest probabilities of consumption of pickled foods, and the lowest probabilities of consumption of cereals, soy foods, and nuts. Compared with Prudent class, Picky class was associated with a higher risk (OR=1.42, 95%CI=1.06, 1.90), while the relevant association was only in post- (OR=1.44, 95%CI=1.01, 2.05) but not premenopausal women. The Western class characterized by high-protein, -fat, and -sugar foods, the Chinese traditional class characterized by typical consumption of soy foods and white meat over red meat, both of them showed no difference in BC risk compared with Prudent class did. Conclusions: LCA capture the heterogeneity of individuals embedded in the population, could be a useful approach in the study of dietary pattern and disease. Our results indicated that the Picky class might have a positive association with the risk of breast cancer.

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 Latent Class Analysis Is Useful to Classify Pregnant Women into Dietary Patterns

2010 ◽  
Vol 140 (12) ◽  
pp. 2253-2259 ◽  
Author(s):  
Daniela Sotres-Alvarez ◽  
Amy H. Herring ◽  
Anna Maria Siega-Riz
Keyword(s):  
Latent Class Analysis ◽  
Pregnant Women ◽  
Dietary Patterns ◽  
Latent Class ◽  
Class Analysis

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.

Academic performance and subtypes of psychological traits in undergraduate nursing students: A latent class analysis

2020 ◽  
Author(s):  
Rui Li ◽  
Wanqiong Zhou ◽  
Jing Wu
Keyword(s):  
Nursing Students ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Psychological Capital ◽  
Class Analysis ◽  
Cross Sectional ◽  
Undergraduate Nursing Students ◽  
Psychological Traits ◽  
Undergraduate Nursing ◽  
Class 1

Abstract Background: Undergraduate nursing students often encounter emotional problems due to academic stress. However, researchers have primarily focused on the impact of stressors, rather than understanding the subtypes of psychological state among students.Objectives: To identify subgroups of psychological traits among undergraduate nursing students using latent class analysis (LCA), and to examine the relationship between subgroups and exam failure risk.Design and Methods: A cross-sectional study was performed from May to July 2019. The Ruminative Responses Scale, Learning Burnout Questionnaire and Psychological Capital Scale were used to evaluate students’ psychological traits. Subjects were categorized into subgroups by latent class analysis. Cross-sectional comparisons and longitudinal regression analyses were subsequently performed.Settings and Participants: A total of 379 undergraduate nursing students from three medical colleges in Shanghai were investigated by cluster sampling method.Results: A total of four latent classes were identified based on the mean scores of rumination, learning burnout and psychological capital: Class 1 – General group (N=181, 47.76%); Class 2 – Negative psychologically dominated group (N=54, 14.25%); Class 3 – Positive psychologically dominated group (N=65, 17.15%); and Class 4 – Ambivalence psychological group (N=79, 20.84%). Students belonging into Class 1 and 2 displayed a higher rate of exam failure compared with those in Class 3 and 4 (p<0.05). Regression analysis showed that Class 1 (OR=2.108, 95%CI 1.240-4.118, p=0.006) and Class 2 (OR=2.694, 95%CI 1.229-6.293, p=0.016) independently predicted exam failure among undergraduate nursing students after adjusting for age, gender, grade and other academic related factors.Conclusions: Our findings provide practical implications for effective interventions that target each specific subgroup. Undergraduate nursing students with “Negative psychologically dominated group” were at a higher risk of exam failure. Urgent attention should be paid to address issues associated with psychological coping in students and their effect on learning outcomes.

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