Negative life events predict weight gain in a 13-year follow-up of an adult Swedish population

Eating Behaviors and Adiposity Indicators - Observations from the 2016/17 Examination of the Population Study of Women in Gothenburg

Purpose

To determine the cross-sectional association between eating behavior in terms of the three-factor eating questionnaire (TFEQ) and adiposity measures.

Methods

The TFEQ-R21 was administered to 573 women aged 38 and 50 who participated in the population study of women in Gothenburg 2016/17. Three domains, emotional eating (EE), uncontrolled eating (UE), and cognitive restraint (CR) were examined as outcomes as well as predictors of adiposity outcomes. Multiple linear and logistic regression models were adjusted for age, education, lifestyle factors, and dieting behavior.

Results

All TFEQ domains were positively associated with dieting. EE and UE were associated with higher consumption of sweets and CR with lower consumption of sweets. Wellbeing was negatively associated with EE and UE. In mutually adjusted models, EE and CR but not UE were positively associated with BMI, waist circumference (WC), waist-to-hip ratio, waist-to-height ratio, and skinfold. One standard deviation higher EE was associated with obesity, BMI ≥ 30 kg/m2, OR = 1.62 (1.26, 2.10), and abdominal fatness, WC > 88 cm, OR = 1.57 (1.26, 1.95). Former and current dieting were positively associated with these outcomes, too, but UE and CR were not associated in mutually adjusted models.

Conclusion

This study shows that emotional eating behavior is associated with adiposity in a population of middle-aged women, over a large range of values for body fatness, and independent of dieting behavior. The results imply that treatment of obesity should include psychological support to restrict the risk for emotional eating in response to states of negative mood.

Life stress and adiposity in mothers: A 14-year follow-up in the general population

Exposure to specific stressors has been found to associate with higher adiposity in adulthood. However, the potential overlapping effects of stress domains have been overlooked, as well as the role of parenting-related stressors that mothers are widely exposed to in mid-adulthood. Therefore, we assessed the association of overlapping effects of stress domains, including parenting-related stress, with subsequent adiposity in mothers. In 3957 mothers from the population-based Generation R Study, life stress was assessed during the first 10 years of child-rearing and measured as a reflective latent variable of stress domains. Structural equation modelling was used to assess the association of life stress and its individual domains with body mass index (BMI) and waist circumference after 14 years of follow-up. Greater life stress over the course of 10 years was associated with a higher BMI (standardized adjusted difference: 0.57 kg/m2 [95% CI: 0.41-0.72]) and a larger waist circumference (1.15 cm [0.72-1.57]). When examining individual stress domains, we found that life events was independently associated with a higher BMI (0.16 kg/m2 ) and contextual stress was independently associated with a higher BMI (0.43 kg/m2 ) and larger waist circumference (1.04 cm). Parenting stress and interpersonal stress were not independently associated with adiposity at follow-up. The overlap of multiple domains of stress in mothers is associated with a higher risk of adiposity. This effect was stronger than for individual life stress domains, reiterating the need to consider overlapping effects of different life stress domains.

Association of mental health and negative life events with weight change in patients with overweight: A cohort study

BACKGROUND

It is unclear to what extent mental health and negative life events (NLEs) contribute to weight change in patients with overweight. This study aimed to evaluate the association of anxiety, depression, NLEs and quality of life (QoL) with weight change over ten years in middle-aged individuals with overweight.

METHODS

Population-based cohort study of 2889 middle-aged men and women with a body mass index ≥27 kg/m². Relative weight change over ten years was defined as weight loss (≤- 5 %), stable weight (between >- 5 % and <5 %) or weight gain (≥5 %). At baseline, participants reported anxiety symptoms, depressive symptoms, recent (last year) and distant (lifetime) NLEs, and a mental component summary of QoL. With multinomial logistic regression adjusting for potential confounding, we examined the association of mental health and NLEs with weight change after a median (25th, 75th percentiles) follow-up of 9.7 (9.0-10.5) years.

RESULTS

In 51 % participants weight was stable, 33 % participants lost weight and 17 % gained weight. Mild (odds ratio 1.36; 95 % confidence interval 1.05-1.75), and moderate to very severe depressive symptoms (1.43; 0.97-2.12) and four or more distant NLEs (1.35; 1.10-1.67) were associated with weight gain. Anxiety symptoms, the mental component summary of QoL were not associated with either weight gain or weight loss.

LIMITATIONS

Due to the observational design residual confounding cannot be excluded.

CONCLUSION

Our study suggests that depressive symptoms or having experienced distant NLEs are associated with weight gain over time in middle-aged individuals with overweight. These subgroups might benefit from proactive attention from their health care providers.

Diet and lifestyle behaviour disruption related to the pandemic was varied and bidirectional among US and UK adults participating in the ZOE COVID Study

Evidence of the impact of the COVID-19 pandemic on health behaviours in the general population is limited. In this retrospective longitudinal study including UK and US participants, we collected diet and lifestyle data pre-pandemic (896,286) and peri-pandemic (291,871) using a mobile health app, and we computed a bidirectional health behaviour disruption index. Disruption of health behaviour was higher in younger, female and socio-economically deprived participants. Loss in body weight was greater in highly disrupted individuals than in those with low disruption. There were large inter-individual changes observed in 46 health and diet behaviours measured peri-pandemic compared with pre-pandemic, but no mean change in the total population. Individuals most adherent to less healthy pre-pandemic health behaviours improved their diet quality and weight compared with those reporting healthier pre-pandemic behaviours, irrespective of relative deprivation; therefore, for a proportion of the population, the pandemic may have provided an impetus to improve health behaviours. Public policies to tackle health inequalities widened by the pandemic should continue to prioritize diet and physical activity for all, as well as more targeted approaches to support younger females and those living in economically deprived areas.