Examining the association between body trust and body mass index with quantile regression

Like parent, like child? Intuitive eating among emerging adults and their parents

Intuitive eating (IE) emphasizes relying on hunger and satiety cues to guide eating, and is associated with positive mental health and health-promoting behaviors. Although parents' own eating patterns often shape those of their children, no known research has explored familial associations of IE. The purpose of this cross-sectional, population-based study was to examine IE concordance between emerging adults and their parents, and whether concordance differed across sociodemographic characteristics and weight perceptions. The analytic sample included 891 emerging adults (M age = 22.0) and their primary parent (M age = 50.4) who participated in the population-based, longitudinal EAT and F-EAT 2010-2018 studies. Parents and emerging adults were grouped into dyads based on IE concordance: (1) neither are intuitive eaters; (2) only the emerging adult is an intuitive eater; (3) only the parent is an intuitive eater; (4) both are intuitive eaters. Dyads differed across socioeconomic status (SES), race/ethnicity, and weight perceptions. Concordant dyads who ate intuitively were more likely to be at higher SES and perceive their weight as "about right" than concordant dyads who did not eat intuitively. Asian emerging adults were most likely to belong to concordant non-intuitive eater dyads. Emerging adults who shared their parent's perception their weight was "overweight" were less likely to be intuitive eaters (even if their parents were). In this sample, sociodemographic characteristics and weight perceptions were related to IE concordance among emerging adults and their parents. Lower SES might be an intergenerational barrier to IE disproportionately impacting communities of color, though longitudinal data are needed. Results also suggest rather than motivating healthful eating, perceiving one's weight as "overweight" could hinder IE. Differences across sociodemographic variables likely intersect in meaningful ways, which is an important future research direction.

Effect of socioeconomic characteristics and lifestyle on BMI distribution in the Chinese population: a population-based cross-sectional study

Background

Body mass index (BMI) is an accepted measurement that is widely used to quantify overweight and obesity at the population level. Previous studies have described the distribution variation of BMI through applying common statistical approaches, such as multiple linear or logistic regression analyses. This study proposed that associations between BMI and socioeconomic characteristics, diet, and lifestyle factors varied across the conditional BMI distribution.

Methods

This study was based on a sample of 10,023 Chinese adults who participated in the monitoring of chronic diseases and associated risk factors in Shaanxi Province, Northwest China, in 2013. Cross-quantile factors were observed in the relationships between major risk factors and BMI through quantile regression (QR) and ordinary least squares (OLS) regression.

Results

Participants’ mean BMI was 24.19 ± 3.51 kg/m² (range 14.33–52.82 kg/m²). The QR results showed that living in urban areas was associated with BMI in the low and central quantiles (10th–60th). Participants with 6–9 years of education were 0.23–0.38 BMI units higher in the first half of the BMI quantiles compared with those with ≤6 years of education. There was a positive association between consumption of red meat and BMI; however, the association diminished from the 10th to the 50th quantile. Intake of oil and alcohol were positively associated with all BMI quantiles. Cigarette smoking per day was negatively associated with BMI, which showed a U-shaped distribution. The above results were also observed in the OLS.

Conclusion

This study implies that in addition to socioeconomic characteristics, limiting oil and alcohol intake may decrease BMI score. Consuming more red meat could be a strategy to increase BMI.