Impact of changes in relationship status on smoking behavior and body weight

Noticing and Responding to Calorie Labels on Restaurant Menus: Patterns in Sexual-Minority Men

INTRODUCTION

A calorie-labeling policy for restaurant menus was implemented in 2018. Whether and how sexual-minority men use this information has not been evaluated.

METHODS

The Men's Body Project, a 2020 cross-sectional survey study of 504 cisgender sexual-minority men (mean age=35.8±10.4 years, 71.0% White, 5.6% Asian, 14.3% Black, 9.1% another/multiple race identities) assessed respondents' awareness of calorie labels on restaurant menus and subsequent responses. Additional questions were asked about weight-change goals, body image, disordered eating behaviors, and muscle-enhancing supplement use. Analyses in 2022-2023 used multivariate logistic regression to assess the associations between noticing calories and weight- and muscularity-oriented behaviors and, among those who noticed calorie labels, whether participants reported using this information to order more or fewer calories.

RESULTS

Approximately half of the participants reported noticing calorie labels. Those who did were more likely to report engaging in disordered eating behaviors (OR=2.03). Among participants who noticed menu labels, ordering fewer calories was the most frequent response, whereas 25% reported not changing the caloric content of their order. Many participants (21%) reported ordering both more and fewer calories, and this heterogeneous ordering pattern was associated with both disordered eating (OR=4.70) and muscle-enhancing behaviors (OR=9.42) compared with that among participants who did not report behaviors. Reporting weight-control efforts was associated with ordering fewer calories than participants not doing anything to change their weight (OR=2.53).

CONCLUSIONS

Most participants noticed calorie labels on menus, and many reported subsequently ordering fewer calories. Disordered eating and muscle-enhancing behaviors were associated with behavior changes in response to calorie information.

Predictors of Smoking in Older Adults and an Epigenetic Validation of Self-Report

There are several established predictors of smoking, but it is unknown if these predictors operate similarly for young and old smokers. We examined clinical data from the National Lung Screening Trial (NLST) to determine the predictive ability of gender, body mass index (BMI), marital status, and race on smoking behavior, with emphasis on gender interactions. In addition, we validated the self-report of smoking behaviors for a subgroup that had available epigenetic data in the form of cg05575921 methylation. Participants were N=9572 current or former smokers from the NLST biofluids database, age 55-74, minimum of 30 pack years, and mostly White. A subgroup of N=3084 who had DNA were used for the self-report validation analysis. The predictor analysis was based on the larger group and used penalized logistic regression to predict the self-report of being a former or current smoker at baseline. Cg05575921 methylation showed a moderate ability to discriminate among former and current smokers, AUC = 0.85 (95% confidence interval = [0.83, 0.86]). The final selected variables for the prediction model were BMI, gender, BMI by gender, age, divorced (vs. married), education, and race. The gender by BMI interaction was such that males had a higher probability of current smoking for lower BMI, but this switched to females having higher current smoking for overweight to obese. There is evidence that the self-reported smoking behavior in NLST is moderately accurate. The results of the primary analysis are consistent with the general smoking literature, and our results provide additional specificity regarding the gender by BMI interaction. Body weight issues might play a role in smoking cessation for older established smokers in a similar manner as younger smokers. It could be that women have less success with cessation when their BMI increases.