Environmental, Personal, and Behavioral Factors Are Related to Body Mass Index in a Group of Multi-Ethnic, Low-Income Women

Accuracy of self‐reported heights and weights in a predominately low‐income, diverse population living in the USA

“…Demographic and anthropometric data were analyzed from 18 different U.S. studies from the same lab with the same principal investigator. The studies included young adults, middle‐aged adults, elderly, males and females, and different ethnicities including African Americans, Euro‐Americans, and Native Americans from the years 2001‐2016 (Dressler & Smith, ; Eikenberry & Smith, ; Oemichen & Smith, ; Richards & Smith, ; Rustad & Smith, ; Schryver, Smith, & Wall, ; Smith, Klosterbuer, & Levine, ; Smith & Miller, ; Wigg Damman, Smith, & Richards, ; Wiig Dammann & Smith, ; Wu & Smith, ; Gallop & Smith; Smith & Yentzer, unpublished; Smith & Sais, under preparation). All research was approved by the University's Institutional Review Board.…”

An Analysis of Contributors to Energy Intake Among Middle Aged and Elderly Adults

“…In some rural areas, access to transport is difficult and food insecurity may result due to poor health and limited food availability owing to inadequate grocery stores in the neighborhood. Physical disabilities may also impede food intake related activities, such as shopping and cooking, leading to pronounced consequences on eating behavior 82 but Dressler et al (2013)reported that food security and BMI are not necessarily related 83 .…”

Intention to lose weight and use of electronic cigarettes among adolescents

“…To evaluate for gender interaction, marginal estimated probabilities for electronic cigarette use by gender categories were derived from each of the multiple logistic regression models by BMI-class, with tests for significance of difference in the strength of association (p < 0.05) across gender categories. Models for the normal weight subpopulation were omitted from analysis because their motivations may be distinct from those in the overweight and obese groups ( Dressler and Smith, 2013a , Dressler and Smith, 2013b , Durso et al, 2012 , Opichka et al, 2019 , Wu and Berry, 2018 ) and a substantially smaller proportion of normal weight students were intending to lose weight (about one quarter as compared to 75% or more in the overweight and obese groups). All statistical analyses were performed with Stata 16.0, using appropriate sampling weights to produce representative data for the entire state by grade, strata (the six urban/rural regions), race/ethnicity, and gender.…”

“…Adolescents that have overweight and those that perceive themselves as having overweight often adopt healthy and/or unhealthy behaviors in an attempt to achieve weight control ( Haynes et al, 2018 ), including exercise, dietary choices, such as fasting or avoidance of high fat foods, purging, self-medication with laxatives or diet pills, and cigarette smoking ( Almenara et al, 2014 , Frank et al, 2018 , Ursoniu et al, 2011 , Zhang et al, 2011 ). Perversely, those with overweight or obesity have been shown to be more likely to engage in unhealthy eating behaviors such as eating in the absence of hunger, binge eating, and exercising less than those who have normal weight ( Dressler and Smith, 2013a , Dressler and Smith, 2013b , Opichka et al, 2019 ). Individuals with normal weight, on the other hand, have been shown to be more knowledgeable about and more often utilize nutrition information to inform their eating habits than those with overweight or obesity ( Dressler and Smith, 2013b ).…”