-
1.
A clinical trial about effects of prebiotic and probiotic supplementation on weight loss, psychological profile and metabolic parameters in obese subjects.
Ben Othman, R, Ben Amor, N, Mahjoub, F, Berriche, O, El Ghali, C, Gamoudi, A, Jamoussi, H
Endocrinology, diabetes & metabolism. 2023;6(2):e402
-
-
-
Free full text
-
Plain language summary
Gut microbiota is defined by all the beneficial microorganisms that live and grow in the intestine. It is set up from birth and evolves according to different factors. Today, the microbiota is considered a therapeutic revolution, where researchers use its enrichment to prevent or treat certain diseases including obesity. The aim of this study was to evaluate the effects of a probiotic supplement containing Bifidobacteruim, Lactobacillus strains and a prebiotic supplement by carob on the changes in body composition and metabolic biomarkers in subjects with obesity. This study was a prospective interventional study. Forty-five patients were recruited on their first visit to the obesity unit and were randomly assigned to three groups. All participants were enrolled in the weight loss program at the beginning of the study and followed a low-carbohydrate, reduced-energy intake eating plan. Results showed that a low-carbohydrate, restricted-energy diet effectively showed positive results in terms of weight loss, metabolic parameters and obesity-related psychiatric disorders in obese individuals. Authors concluded that prebiotics and probiotics supplementation with lifestyle measures can be taken into consideration for the management of obesity.
Abstract
INTRODUCTION The management of obesity is difficult with many failures of lifestyle measures, hence the need to broaden the range of treatments prescribed. The aim of our work was to study the influence of pre and probiotics on weight loss psychological profile and metabolic parameters in obese patients. METHODS It is a clinical trial involving 45 obese patients, recruited from the Obesity Unit of the National Institute of Nutrition between March and August 2022 divided into three groups: diet only (low-carbohydrate and reduced energy diet), prebiotics (30 g of carob/day) and probiotics (one tablet containing Bifidobacterium longum, Lactobacillus helveticus, Lactococcus lactis, Streptococcus thermophilus/day). The three groups were matched for age, sex and BMI. Patients were seen after 1 month from the intervention. Anthropometric measures, biological parameters, dietary survey and psychological scores were performed. RESULTS The average age of our population was 48.73 ± 7.7 years, with a female predominance. All three groups showed a significant decrease in weight, BMI and waist circumference with p < .05. Only the prebiotic and probiotic group showed a significant decrease in fat mass (p = .001) and a significant increase in muscle strength with p = .008 and .004, but the differences were not significant between the three groups. Our results showed also a significant decrease in insulinemia and HOMA-IR in the prebiotic group compared to the diet-alone group (p = .03; p = .012) and the probiotic group showed a significant decrease in fasting blood glucose compared to the diet alone group (p = .02). A significant improvement in sleep quality was noted in the prebiotic group (p = .02), with a significant decrease in depression, anxiety and stress in all three groups. CONCLUSIONS The prescription of prebiotics and probiotics with the lifestyle measures seems interesting for the management of obesity especially if it is sarcopenic, in addition to the improvement of metabolic parameters and obesity-related psychiatric disorders.
-
2.
Effectiveness of Therapeutic Patient Education Interventions in Obesity and Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Correia, JC, Waqas, A, Huat, TS, Gariani, K, Jornayvaz, FR, Golay, A, Pataky, Z
Nutrients. 2022;14(18)
-
-
-
Free full text
Plain language summary
Obesity and diabetes mellitus (DM) account for the highest burden of non-communicable diseases. Obesity is also highly comorbid with type 2 DM with a prevalence of 8.5% among adults around the globe. The aims of this study were to present (a) a critical synthesis of the theoretical basis and development of therapeutic patient education (TPE) interventions for obesity and diabetes, and (b) quantitative evidence for the efficacy of these interventions across a range of biomedical, psychosocial and psychological outcomes. This study is a systematic review and meta-analysis of fifty-four randomised controlled trials. Results show that: - TPE interventions bring about significant improvements in biomedical outcomes among patients with DM and obesity. - there weren’t significant differences in the quality of life of participants undergoing TPE interventions (inconclusive as only data from two studies were considered). - interventions delivered through different media and delivery formats may be equally effective. Authors conclude that the use of electronic media such as short messaging services, website-based educational programs and animation media can be used to deliver TPE effectively.
Abstract
Diabetes mellitus (DM) and obesity account for the highest burden of non-communicable diseases. There is increasing evidence showing therapeutic patient education (TPE) as a clinically and cost-effective solution to improve biomedical and psychosocial outcomes among people with DM and obesity. The present systematic review and meta-analysis present a critical synthesis of the development of TPE interventions for DM and obesity and the efficacy of these interventions across a range of biomedical, psychosocial and psychological outcomes. A total of 54 of these RCTs were identified among patients with obesity and diabetes and were thus qualitatively synthesized. Out of these, 47 were included in the quantitative synthesis. There was substantial heterogeneity in the reporting of these outcomes (I2 = 88.35%, Q = 317.64), with a significant improvement noted in serum HbA1c levels (standardized mean difference (SMD) = 0.272, 95% CI: 0.118 to 0.525, n = 7360) and body weight (SMD = 0.526, 95% CI: 0.205 to 0.846, n = 1082) in the intervention group. The effect sizes were comparable across interventions delivered by different modes and delivery agents. These interventions can be delivered by allied health staff, doctors or electronically as self-help programs, with similar effectiveness (p < 0.001). These interventions should be implemented in healthcare and community settings to improve the health outcomes in patients suffering from obesity and DM.
-
3.
A Systematic Review of the Impact of the First Year of COVID-19 on Obesity Risk Factors: A Pandemic Fueling a Pandemic?
Daniels, NF, Burrin, C, Chan, T, Fusco, F
Current developments in nutrition. 2022;6(4):nzac011
-
-
-
Free full text
Plain language summary
Coronavirus disease 2019 (COVID-19) is one of the most serious infectious disease outbreaks in recent history. Among the factors that can increase the risk of obesity, some seem to play a more prominent role than others such as depression, emotional eating, sedentary lifestyle and the socioeconomic status. The aim of this study was to explore the indirect effects of the first year of COVID-19 on obesity and its risk factors. This study is a systematic review of 87 studies with over 350,000 participants. Results show that: - overall, there was a general trend of weight gain during the pandemic. - there were differences in dietary changes, with some studies showing an improvement in diet. - some beneficial effects were observed in the dieting domain, such as higher consumption of home-cooked meals and healthy food (e.g., vegetables). However, there was an increasing trend in the overall food and alcohol consumption. - financial hardship and job loss were unavoidable consequences of the pandemic lockdown. However, although the impact of the countermeasures used to curb the COVID-19 pandemic was evident on obesity risk factors, none of the studies included in the research explored the direct impact of the risk factors on obesity itself. Authors conclude by pointing out the need for future research that aims at strengthening the link between stressful circumstances and a rise in risk factors for obesity and weight gain.
Abstract
Obesity is increasingly prevalent worldwide. Associated risk factors, including depression, socioeconomic stress, poor diet, and lack of physical activity, have all been impacted by the coronavirus disease 2019 (COVID-19) pandemic. This systematic review aims to explore the indirect effects of the first year of COVID-19 on obesity and its risk factors. A literature search of PubMed and EMBASE was performed from 1 January 2020 to 31 December 2020 to identify relevant studies pertaining to the first year of the COVID-19 pandemic (PROSPERO; CRD42020219433). All English-language studies on weight change and key obesity risk factors (psychosocial and socioeconomic health) during the COVID-19 pandemic were considered for inclusion. Of 805 full-text articles that were reviewed, 87 were included for analysis. The included studies observed increased food and alcohol consumption, increased sedentary time, worsening depressive symptoms, and increased financial stress. Overall, these results suggest that COVID-19 has exacerbated the current risk factors for obesity and is likely to worsen obesity rates in the near future. Future studies, and policy makers, will need to carefully consider their interdependency to develop effective interventions able to mitigate the obesity pandemic.
-
4.
Timing of daily calorie loading affects appetite and hunger responses without changes in energy metabolism in healthy subjects with obesity.
Ruddick-Collins, LC, Morgan, PJ, Fyfe, CL, Filipe, JAN, Horgan, GW, Westerterp, KR, Johnston, JD, Johnstone, AM
Cell metabolism. 2022;34(10):1472-1485.e6
-
-
-
Free full text
Plain language summary
Recent research has shown that the time of the day when a larger meal is consumed may influence energy utilisation, positively affecting weight loss. This randomised, crossover, isocaloric and eucaloric controlled feeding trial compared morning-loaded calorie intake with evening-loaded calorie intake to assess its effects on weight and metabolism. Thirty healthy, overweight, or obese individuals participated in this study for four weeks and assessed their energy intake and energy expenditure. Based on the findings of this study, there were no discernible variations in either resting metabolic rate or total energy expenditure based on the timing of energy intake. Morning loaded diet can significantly lower hunger and improve satiety compared to the evening-loaded diet. Because of these effects, a morning-loaded diet may aid weight loss through behavioural adaptations. Healthcare professionals can use the results of this study to understand the benefits of morning-loaded calorie intake in terms of hunger suppression and increased satiety which may promote weight loss through behavioural change. Further robust studies are required to evaluate the metabolic outcomes and energy metabolism followed by morning-loaded energy intake and evening-loaded energy intake.
Abstract
Morning loaded calorie intake in humans has been advocated as a dietary strategy to improve weight loss. This is also supported by animal studies suggesting time of eating can prevent weight gain. However, the underlying mechanisms through which timing of eating could promote weight loss in humans are unclear. In a randomized crossover trial (NCT03305237), 30 subjects with obesity/overweight underwent two 4-week calorie-restricted but isoenergetic weight loss diets, with morning loaded or evening loaded calories (45%:35%:20% versus 20%:35%:45% calories at breakfast, lunch, and dinner, respectively). We demonstrate no differences in total daily energy expenditure or resting metabolic rate related to the timing of calorie distribution, and no difference in weight loss. Participants consuming the morning loaded diet reported significantly lower hunger. Thus, morning loaded intake (big breakfast) may assist with compliance to weight loss regime through a greater suppression of appetite.
-
5.
Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity: A Randomized Clinical Trial.
Popp, CJ, Hu, L, Kharmats, AY, Curran, M, Berube, L, Wang, C, Pompeii, ML, Illiano, P, St-Jules, DE, Mottern, M, et al
JAMA network open. 2022;5(9):e2233760
-
-
-
Free full text
-
Plain language summary
Postprandial glycaemic response (PPGR) to foods can be different from person to person. This could be the reason why people experience different weight loss outcomes with standardised diets such as a low glycaemic index diet, low-fat diet or a low carbohydrate diet. In this single-centre, population-based, randomised, blinded clinical trial, 204 participants with irregular glucose metabolism and obesity were randomised to consume either a low-fat or personalised diet for six months in combination with fourteen behavioural change counselling sessions. The participants in the personalised diet group received a colour-coded meal score to indicate their estimated PPGR for different foods. The results of this study showed no significant weight reduction in the personalised diet group compared to the low-fat diet. Further robust studies are required to develop appropriate precision nutrition interventions for weight loss and energy balance. However, healthcare professionals can use the results of this study to understand that both a low-fat diet and a personalised diet, coupled with behavioural counselling, may be effective in promoting weight loss in obese populations with irregular glucose metabolism.
Abstract
IMPORTANCE Interindividual variability in postprandial glycemic response (PPGR) to the same foods may explain why low glycemic index or load and low-carbohydrate diet interventions have mixed weight loss outcomes. A precision nutrition approach that estimates personalized PPGR to specific foods may be more efficacious for weight loss. OBJECTIVE To compare a standardized low-fat vs a personalized diet regarding percentage of weight loss in adults with abnormal glucose metabolism and obesity. DESIGN, SETTING, AND PARTICIPANTS The Personal Diet Study was a single-center, population-based, 6-month randomized clinical trial with measurements at baseline (0 months) and 3 and 6 months conducted from February 12, 2018, to October 28, 2021. A total of 269 adults aged 18 to 80 years with a body mass index (calculated as weight in kilograms divided by height in meters squared) ranging from 27 to 50 and a hemoglobin A1c level ranging from 5.7% to 8.0% were recruited. Individuals were excluded if receiving medications other than metformin or with evidence of kidney disease, assessed as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration equation, to avoid recruiting patients with advanced type 2 diabetes. INTERVENTIONS Participants were randomized to either a low-fat diet (<25% of energy intake; standardized group) or a personalized diet that estimates PPGR to foods using a machine learning algorithm (personalized group). Participants in both groups received a total of 14 behavioral counseling sessions and self-monitored dietary intake. In addition, the participants in the personalized group received color-coded meal scores on estimated PPGR delivered via a mobile app. MAIN OUTCOMES AND MEASURES The primary outcome was the percentage of weight loss from baseline to 6 months. Secondary outcomes included changes in body composition (fat mass, fat-free mass, and percentage of body weight), resting energy expenditure, and adaptive thermogenesis. Data were collected at baseline and 3 and 6 months. Analysis was based on intention to treat using linear mixed modeling. RESULTS Of a total of 204 adults randomized, 199 (102 in the personalized group vs 97 in the standardized group) contributed data (mean [SD] age, 58 [11] years; 133 women [66.8%]; mean [SD] body mass index, 33.9 [4.8]). Weight change at 6 months was -4.31% (95% CI, -5.37% to -3.24%) for the standardized group and -3.26% (95% CI, -4.25% to -2.26%) for the personalized group, which was not significantly different (difference between groups, 1.05% [95% CI, -0.40% to 2.50%]; P = .16). There were no between-group differences in body composition and adaptive thermogenesis; however, the change in resting energy expenditure was significantly greater in the standardized group from 0 to 6 months (difference between groups, 92.3 [95% CI, 0.9-183.8] kcal/d; P = .05). CONCLUSIONS AND RELEVANCE A personalized diet targeting a reduction in PPGR did not result in greater weight loss compared with a low-fat diet at 6 months. Future studies should assess methods of increasing dietary self-monitoring adherence and intervention exposure. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03336411.
-
6.
6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records.
Taquet, M, Geddes, JR, Husain, M, Luciano, S, Harrison, PJ
The lancet. Psychiatry. 2021;8(5):416-427
-
-
-
Free full text
Plain language summary
Recent literature shows that COVID-19 survivors might be at an increased risk of neurological and psychiatric disorders. The aim of this study was to investigate the incidence of neurological and psychiatric diagnoses in survivors in the 6 months after documented clinical COVID-19 infection. This study is a retrospective cohort study with the primary cohort comprised of 236,379 patients diagnosed with COVID-19 and two propensity-score-matched control cohorts. The primary cohort was divided into one of the four subgroups. Results indicate that the severity of COVID-19 had a clear effect on subsequent neurological diagnoses. In fact, COVID-19 was associated with an increased risk of neurological and psychiatric outcomes. However, the incidences and hazard ratio of these were greater in patients who had required hospitalisation, and particularly those who required ITU admission or developed encephalopathy, even after extensive propensity score matching for other factors. Authors conclude that COVID-19 is followed by significant rates of neurological and psychiatric diagnoses over the subsequent 6 months.
Abstract
BACKGROUND Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health. We aimed to provide robust estimates of incidence rates and relative risks of neurological and psychiatric diagnoses in patients in the 6 months following a COVID-19 diagnosis. METHODS For this retrospective cohort study and time-to-event analysis, we used data obtained from the TriNetX electronic health records network (with over 81 million patients). Our primary cohort comprised patients who had a COVID-19 diagnosis; one matched control cohort included patients diagnosed with influenza, and the other matched control cohort included patients diagnosed with any respiratory tract infection including influenza in the same period. Patients with a diagnosis of COVID-19 or a positive test for SARS-CoV-2 were excluded from the control cohorts. All cohorts included patients older than 10 years who had an index event on or after Jan 20, 2020, and who were still alive on Dec 13, 2020. We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. We investigated how these estimates were affected by COVID-19 severity, as proxied by hospitalisation, intensive therapy unit (ITU) admission, and encephalopathy (delirium and related disorders). We assessed the robustness of the differences in outcomes between cohorts by repeating the analysis in different scenarios. To provide benchmarking for the incidence and risk of neurological and psychiatric sequelae, we compared our primary cohort with four cohorts of patients diagnosed in the same period with additional index events: skin infection, urolithiasis, fracture of a large bone, and pulmonary embolism. FINDINGS Among 236 379 patients diagnosed with COVID-19, the estimated incidence of a neurological or psychiatric diagnosis in the following 6 months was 33·62% (95% CI 33·17-34·07), with 12·84% (12·36-13·33) receiving their first such diagnosis. For patients who had been admitted to an ITU, the estimated incidence of a diagnosis was 46·42% (44·78-48·09) and for a first diagnosis was 25·79% (23·50-28·25). Regarding individual diagnoses of the study outcomes, the whole COVID-19 cohort had estimated incidences of 0·56% (0·50-0·63) for intracranial haemorrhage, 2·10% (1·97-2·23) for ischaemic stroke, 0·11% (0·08-0·14) for parkinsonism, 0·67% (0·59-0·75) for dementia, 17·39% (17·04-17·74) for anxiety disorder, and 1·40% (1·30-1·51) for psychotic disorder, among others. In the group with ITU admission, estimated incidences were 2·66% (2·24-3·16) for intracranial haemorrhage, 6·92% (6·17-7·76) for ischaemic stroke, 0·26% (0·15-0·45) for parkinsonism, 1·74% (1·31-2·30) for dementia, 19·15% (17·90-20·48) for anxiety disorder, and 2·77% (2·31-3·33) for psychotic disorder. Most diagnostic categories were more common in patients who had COVID-19 than in those who had influenza (hazard ratio [HR] 1·44, 95% CI 1·40-1·47, for any diagnosis; 1·78, 1·68-1·89, for any first diagnosis) and those who had other respiratory tract infections (1·16, 1·14-1·17, for any diagnosis; 1·32, 1·27-1·36, for any first diagnosis). As with incidences, HRs were higher in patients who had more severe COVID-19 (eg, those admitted to ITU compared with those who were not: 1·58, 1·50-1·67, for any diagnosis; 2·87, 2·45-3·35, for any first diagnosis). Results were robust to various sensitivity analyses and benchmarking against the four additional index health events. INTERPRETATION Our study provides evidence for substantial neurological and psychiatric morbidity in the 6 months after COVID-19 infection. Risks were greatest in, but not limited to, patients who had severe COVID-19. This information could help in service planning and identification of research priorities. Complementary study designs, including prospective cohorts, are needed to corroborate and explain these findings. FUNDING National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre.
-
7.
Increased emotional eating during COVID-19 associated with lockdown, psychological and social distress.
Cecchetto, C, Aiello, M, Gentili, C, Ionta, S, Osimo, SA
Appetite. 2021;160:105122
-
-
-
Free full text
Plain language summary
After China, Italy was the first country in which the coronavirus disease 2019 (COVID-19) pandemic rapidly spread. As a consequence, a lockdown was imposed in the entire nation to reduce the spread of infections. The main aim of this study was to investigate how the negative emotions raised by the lockdown and the social features that characterised the quality of life during lockdown interacted with individual characteristics to affect the eating behaviour during the lockdown. This study is based on an anonymous online survey which was shared via social media targeting Italian residents or speakers who were 18 years of age or older. A total of 365 participants were considered for this study. Results indicate that: - increased emotional eating was significantly predicted by higher level of anxiety, depression, and partially, by Quality of Life and Quality of the Relationships. - increased binge eating was predicted by higher stress. - higher alexithymia [a broad term to describe problems with feeling emotions] scores were associated by increased emotional eating and higher body mass index scores were associated with both increased emotional eating and binge eating. - emotional eating and binge eating decreased significantly in Phase 2 compared to Phase 1 of the lockdown period. Authors conclude that future policies during lockdown should also take into consideration the emotional toll on individual well-being and should include measures of psychological support.
Abstract
Due to the spread of COVID 2019, the Italian government imposed a lockdown on the national territory. Initially, citizens were required to stay at home and not to mix with others outside of their household (Phase 1); eventually, some of these restrictions were lifted (Phase 2). To investigate the impact of lockdown on emotional and binge eating, an online survey was conducted to compare measures of self-reported physical (BMI), psychological (Alexithymia), affective (anxiety, stress, and depression) and social (income, workload) state during Phase 1 and Phase 2. Data from 365 Italian residents showed that increased emotional eating was predicted by higher depression, anxiety, quality of personal relationships, and quality of life, while the increase of bingeing was predicted by higher stress. Moreover, we showed that higher alexithymia scores were associated by increased emotional eating and higher BMI scores were associated with both increased emotional eating and binge eating. Finally, we found that from Phase 1 to Phase 2 binge and emotional eating decreased. These data provide evidence of the negative effects of isolation and lockdown on emotional wellbeing, and, relatedly, on eating behaviour.
-
8.
Evaluation of COVID-19 Disease Awareness and Its Relation to Mental Health, Dietary Habits, and Physical Activity: A Cross-Sectional Study from Pakistan.
Ali, A, Sohaib, M, Iqbal, S, Hayat, K, Khan, AU, Rasool, MF
The American journal of tropical medicine and hygiene. 2021;104(5):1687-1693
-
-
-
Free full text
-
Plain language summary
Dietary factors and healthy eating habits play a crucial role in human health management. The global pandemic of COVID-19 has significantly changed the dietary patterns and eating habits of the people worldwide, particularly in the area affected by this pandemic. The aim of this study was to assess the knowledge of COVID-19 disease and its association with anxiety, depression, dietary habits, and physical activity during the COVID-19 lockdown. This study was a descriptive cross-sectional survey conducted in the Punjab Province of Pakistan. A total of 1956 participants took part in the study. Results indicate that: - only 7.4% of participants had good knowledge about COVID-19. - the physical activity of the participants was affected as 66.9% of the participants had a decrease in physical activity and around 40% of the participants also gained weight. - around 70% of the participants were suffering from anxiety, and 52% were depressed. Authors conclude that their findings can help formulate concrete policy-making for the Pakistani population in terms of public health prospects. Furthermore, mass-level educational programmes should be launched via print and electronic media to enhance public awareness about COVID-19 and to improve dietary behaviour of people.
Abstract
Coronavirus infection (COVID-19) has significantly increased the mortality and morbidity rates worldwide. The present study was conducted to assess the general public's awareness of COVID-19 and its association with mental health, dietary habits, and physical activity. A web-based survey was conducted to gather information about demographics, knowledge about COVID-19, dietary habits, mental health, and anthropometry among the general public of Pakistan. Descriptive statistics, chi-square test, and multiple logistic regression were used for data analysis. The majority of the participants were suffering from anxiety (71.0%) and depression (52.0%) during the COVID-19 pandemic; 32.4% of participants had poor COVID-19-related knowledge. COVID-19 lockdown reduced the physical activity of 66.9% of participants and increased weight of 38.8% of the survey participants. Demographic variables, including age, gender, ethnicity, education, employment, family type, and geographical location, were significantly associated with knowledge about COVID-19 (P < 0.05). Depression was inversely associated with COVID-19 knowledge (P < 0.05). Healthy changes in dietary habits including decreased consumption of fast foods, soft and cola drinks, fruit drinks, cooked meat (outside the home), sugar, and fats, and were associated with increased knowledge of COVID-19. Vitamin C and immunity-boosting supplement consumption were significantly associated with increased knowledge regarding COVID-19 (< 0.05). Inadequate knowledge about COVID-19 and the presence of anxiety and depression were found among most of the study participants. There is a need to conduct educational seminars to limit the health consequences resulting from COVID-19 lockdown.
-
9.
Pilot trial of a group cognitive behavioural therapy program for comorbid depression and obesity.
Lores, T, Musker, M, Collins, K, Burke, A, Perry, SW, Wong, ML, Licinio, J
BMC psychology. 2020;8(1):34
-
-
-
Free full text
Plain language summary
Depression and obesity are significant global health concerns. Depression can significantly impact physical health and reduced immune function. The aim of this study was to examine the potential benefits of a novel group psychological intervention program. The study is a preliminary quasi-experimental (single-arm) before-after pilot trial of a newly developed group-based psychological intervention program for people with depression and comorbid obesity. The program consisted of 10 two-hour group sessions held weekly. A total of 24 participants were recruited to the program across two pilot groups. Results indicate that there was a significant reduction in participants’ depression and anxiety scores by program-end. Some evidence also shows improvements in weight-related negative cognitions. Authors conclude that the group therapy program therefore has considerable potential to be effective in helping people enjoy better mental health and improve health outcomes.
Abstract
BACKGROUND Depression and obesity are significant global health concerns that commonly occur together. An integrated group cognitive behavioural therapy program was therefore developed to simultaneously address comorbid depression and obesity. METHODS Twenty-four participants (63% women, mean age 46 years) who screened positively for depression with a body mass index ≥25 were recruited from a self-referred general population sample. The group therapy program (10 two-hour weekly sessions) was examined in a single-arm, before-after pilot trial, conducted in a behavioural health clinic in Adelaide, Australia. Primary outcomes included survey and assessment-based analyses of depression, anxiety, body image, self-esteem, and weight (kg), assessed at four time-points: baseline, post-intervention, three-months and 12-months post program. Eighteen participants (75%) completed the program and all assessments. RESULTS Significant improvements in depression, anxiety, self-esteem and body shape concern scores, several quality of life domains, eating behaviours and total physical activity (among others) - but not weight - were observed over the course of the trial. CONCLUSIONS Results from this pilot trial suggest that combining interventions for depression and obesity may be useful. Further development of the program, particularly regarding the potential for physical health benefits, and a randomised controlled trial, are warranted. TRIAL REGISTRATION Trial registration: ANZCTR, ACTRN12617001079336, 13 July 2017. Retrospectively registered after date of the first consent (6 July 2017), but before the date of the first intervention session (20 July 2017).
-
10.
Changes in Weight and Nutritional Habits in Adults with Obesity during the "Lockdown" Period Caused by the COVID-19 Virus Emergency.
Pellegrini, M, Ponzo, V, Rosato, R, Scumaci, E, Goitre, I, Benso, A, Belcastro, S, Crespi, C, De Michieli, F, Ghigo, E, et al
Nutrients. 2020;12(7)
-
-
-
Free full text
Plain language summary
The pandemic of the coronavirus SARS-CoV-2 (COVID-19) has caused significant disruption in everyday lifestyle. The aim if this study was to evaluate the changes in weight and dietary habits in a sample of individuals with obesity attending the Obesity Unit after 1 month of enforced lockdown. This is an observational retrospective study were patients followed a 12-month multidisciplinary weight loss program. Results showed that patients with obesity attending an Obesity Unit in Northern Italy showed a ≈1.5 kg self-reported weight gain after the first month of lockdown. Lower education level, self-reported anxiety/depression, and not paying attention to the healthiness of food choices were significantly associated with weight and body mass index increase. Authors conclude that the adverse mental burden linked to the COVID-19 pandemic might be associated with their increased weight.
Abstract
Our aim is evaluating the changes in weight and dietary habits in a sample of outpatients with obesity after 1 month of enforced lockdown during the COVID-19 pandemic in Northern Italy. In this observational retrospective study, the patients of our Obesity Unit were invited to answer to a 12-question multiple-choice questionnaire relative to weight changes, working activity, exercise, dietary habits, and conditions potentially impacting on nutritional choices. A multivariate regression analysis was performed to evaluate the associations among weight/BMI changes and the analyzed variables. A total of 150 subjects (91.5%) completed the questionnaire. Mean self-reported weight gain was ≈1.5 kg (p < 0.001). Lower exercise, self-reported boredom/solitude, anxiety/depression, enhanced eating, consumption of snacks, unhealthy foods, cereals, and sweets were correlated with a significantly higher weight gain. Multiple regression analyses showed that increased education (inversely, β = -1.15; 95%CI -2.13, -0.17, p = 0.022), self-reported anxiety/depression (β = 1.61; 0.53, 2.69, p = 0.004), and not consuming healthy foods (β = 1.48; 0.19, 2.77, p = 0.026) were significantly associated with increased weight gain. The estimated direct effect of self-reported anxiety/depression on weight was 2.07 kg (1.07, 3.07, p < 0.001). Individuals with obesity significantly gained weight 1 month after the beginning of the quarantine. The adverse mental burden linked to the COVID-19 pandemic was greatly associated with increased weight gain.