Determinants of weight, psychological status, food contemplation and lifestyle changes in patients with obesity during the COVID-19 lockdown: a nationwide survey using multiple correspondence analysis.

INTRODUCTION: The corona virus disease 2019 (COVID-19) pandemic forced most of the Italian population into lockdown from 11 March to 18 May 2020. A nationwide survey of Italian Clinical Nutrition and Dietetic Services (Obesity Centers or OCs) was carried out to assess the impact of lockdown restrictions on the physical and mental wellbeing of patients with obesity (PWO) who had follow-up appointments postponed due to lockdown restrictions and to compare determinants of weight gain before and after the pandemic. METHODS: We designed a structured 77-item questionnaire covering employment status, diet, physical activity and psychological aspects, that was disseminated through follow-up calls and online between 2 May and 25 June 2020. Data were analyzed by multiple correspondence analysis (MCA) and multiple linear regression. RESULTS: A total of 1,232 PWO from 26 OCs completed the questionnaires (72% female, mean age 50.2 ± 14.2 years; mean BMI 34.7 ± 7.6 kg/m2; 41% obesity class II to III). During the lockdown, 48.8% gained, 27.1% lost, while the remainder (24.1%) maintained their weight. The mean weight change was +2.3 ± 4.8 kg (in weight gainers: +4.0 ± 2.4 kg; +4.2% ± 5.4%). Approximately 37% of participants experienced increased emotional difficulties, mostly fear and dissatisfaction. Sixty-one percent reduced their physical activity (PA) and 55% experienced a change in sleep quality/quantity. The lack of online contact (37.5%) with the OC during lockdown strongly correlated with weight gain (p < 0.001). Using MCA, two main clusters were identified: those with unchanged or even improved lifestyles during lockdown (Cluster 1) and those with worse lifestyles during the same time (Cluster 2). The latter includes unemployed people experiencing depression, boredom, dissatisfaction and increased food contemplation and weight gain. Within Cluster 2, homemakers reported gaining weight and experiencing anger due to home confinement. CONCLUSIONS: Among Italian PWO, work status, emotional dysregulation, and lack of online communication with OCs were determinants of weight gain during the lockdown period.

Weight loss after dieting with behavioral modification for obesity: the predicting efficiency of some psychometric data.

The aim of the study was to identify the predicting efficiency of some psychometric data on weight loss after behavior modification in moderately obese patients. A group of patients on a weight loss program with a moderately hypoenergetic diet plus behavior modification therapy for 24 weeks completed the Eating Inventory (EI), the Eating Disorder Inventory (EDI), the Body Shape Questionnaire (BSQ) and the Body Attitude Questionnaire (BAQ). Correlations between the pre-diet and post-treatment scores were evaluated by stepwise regression analysis. The weight loss percentage was positively correlated with the EDI Bulimia scale and the BAQ Feeling Fat, and negatively with the EDI Body Dissatisfaction and Interpersonal Distrust scores. These findings indicate the true effectiveness of the behavior modification technique employed to extinguish bulimic behaviors. Furthermore, it can be suggested that realistic attitudes towards own fatness with a strong motivation and a good relationship with the therapist guarantee a greater weight loss.

[Night eating in severely obese patients]. / "Night eating" in pazienti obesi.

BACKGROUND: To investigate the frequency of night eating among obese patients, its biological correlates and its relationships with binge eating. METHODS: The eating behavior of a group of patients enrolled in a weight-loss program was evaluated by Eating Inventory (EI) and by semistructured interviews designed to detect binge and night eating; in all cases body weight (BW) and energy expenditure (REE) were measured. RESULTS: Night eating was more frequent among binge eating patients, than in among non-binge ones. However, two-way ANOVA demonstrated that in binge eating patients the EI disinhibition and hunger score was higher than in their no-bingeing counterparts and in night eating individuals. Furthermore, between night eating and non-night eating patients, no differences in BW and REE were found. CONCLUSIONS: Binge eating and night eating appear to be related to different psychological constructs, the overlapping between the two behaviors, however, being quite frequent.