scholarly journals Socioeconomic status, birth weight, maternal smoking during pregnancy and adiposity in early adult life: an analysis using structural equation modeling

2010 ◽  
Vol 26 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Antônio Augusto Moura da Silva ◽  
Ana Glória Godoi Vasconcelos ◽  
Heloisa Bettiol ◽  
Marco Antonio Barbieri

We describe here an example of structural equation modeling in epidemiology. The association between birth weight and adiposity in early adult life, adjusted for the number of cigarettes smoked during pregnancy and socioeconomic status at birth, was evaluated. Data involving 2,063 adults from the 1978/1979 Ribeirão Preto cohort study were used. Adiposity was measured by body mass index (BMI), waist circumference (WC) and the sum of triceps and subscapular skinfolds (STSS). Models were submitted to maximum likelihood estimation, separately for men and women. Birth weight had a small and significant effect on adiposity in men (standardized coefficient, SC = 0.08) and women (SC = 0.09). Smoking during pregnancy did not influence adiposity in men (SC = 0.004), but its effect was marginally significant in women (SC = 0.07; P = 0.056). Socioeconomic status at birth had a small and positive effect on adiposity in men (SC = 0.08) and a moderate and negative effect in women (SC = -0.16). In this young adult population, BMI, WC and STSS used alone or in combination were valid estimators of body adiposity.

2020 ◽  
Author(s):  
Taiebeh Nadi ◽  
Jalal Poorolajal ◽  
Amin Doosti-Irani

Abstract Background: We aimed to determine the level of health literacy (HL), and its association with general health. In addition, we investigated the direct and indirect association of socioeconomic status (SES) and general health among the adult population in Iran. Methods: This cross-sectional study involved 750 literate adults' people. The SES was assessed based on the owning of assets HL was evaluated using a validated questionnaire in Iran. General health was assessed using the WHO general health questionnaire. The simple and adjusted linear regression models, and structural equation modeling (SEM) were used for data analysis. Results: In adjusted model, female gender, higher level of education, use of books, pamphlets, or brochures as a source of health information, the higher level of SES was positively associated with higher HL. In addition, the HL was significantly associated with higher scores of general health. Results of SEM showed that the direct effect of SES on general health was not significant, but the indirect effect via HL was significant (path coefficient: 0.24; p<0.001). Conclusion: Results of our study indicated HL is strongly associated with general health among the adult population. SES had a significant indirect association with general health via the effect on health literacy.


PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0170469 ◽  
Author(s):  
Marizélia Rodrigues Costa Ribeiro ◽  
Antônio Augusto Moura da Silva ◽  
Maria Teresa Seabra Soares de Britto e Alves ◽  
Rosângela Fernandes Lucena Batista ◽  
Cecília Cláudia Costa Ribeiro ◽  
...  

2020 ◽  
Vol 54 ◽  
pp. 113
Author(s):  
Raina Jansen Cutrim Propp Lima ◽  
Rosângela Fernandes Lucena Batista ◽  
Cecília Claudia Costa Ribeiro ◽  
Vanda Maria Ferreira Simões

OBJECTIVE: To analyze the effects of early determinants on adolescent fat-free mass. METHODS: A c ohort s tudy w ith 5 79 a dolescents e valuated a t b irth a nd a dolescence i n a birth cohort in São Luís, Maranhão. In the proposed model, estimated by structural equation modeling, socioeconomic status (SES) at birth, maternal age, pregestational body mass index (BMI), gestational smoking, gestational weight gain, type of delivery, gestational age, sex of the newborn, length and weight at birth, adolescent socioeconomic status, “neither study/nor work” generation, adolescent physical activity level and alcohol consumption were tested as early determinants of adolescent fat-free mass (FFM). RESULTS: A higher pregestational BMI resulted in higher FFM in adolescence (Standardized Coefficient, SC = 0.152; p < 0.001). Being female implied a lower FFM in adolescence (SC = -0.633; p < 0.001). The negative effect of gender on FFM was direct (SC = -0.523; p < 0.001), but there was an indirect negative effect via physical activity level (SC = -0.085; p < 0.001). Women were less active (p < 0.001). An increase of 0.5 kg (1 Standard Deviation, SD) in birth weight led to a gain of 0.25 kg/m2 (0.106 SD) in adolescent FFM index (p = 0.034). Not studying or working had a negative effect on the adolescent’s FFM (SC = -0.106; p = 0.015). Elevation of 1 SD in the adolescent’s physical activity level represented an increase of 0.5 kg/m2 (0.207 SD) in FFM index (p < 0.001). CONCLUSIONS: The early determinants with the greatest effects on adolescent FFM are gender, adolescent physical activity level, pregestational BMI, birth weight and belonging to the “neither-nor” generation.


PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0192451 ◽  
Author(s):  
Sydney A. Martinez ◽  
Laura A. Beebe ◽  
David M. Thompson ◽  
Theodore L. Wagener ◽  
Deirdra R. Terrell ◽  
...  

2010 ◽  
Vol 29 (3) ◽  
pp. 262-273 ◽  
Author(s):  
Michael S. Businelle ◽  
Darla E. Kendzor ◽  
Lorraine R. Reitzel ◽  
Tracy J. Costello ◽  
Ludmila Cofta-Woerpel ◽  
...  

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