The Relationship between Stress and Severe Obesity: A Case-Control Study

The Development of Nonalcoholic Fatty Liver Disease and Metabolic Syndromes in Diet-Induced Rodent Models

Dietary macronutrients are essential for metabolic regulation and insulin function. The present study examined the effects of different high-fat diets (HFDs) and high-carbohydrate diets (HCDs) on the development of non-alcoholic fatty liver disease and metabolic syndrome indices in healthy adult male Wistar albino rats. Forty-two rats were distributed into six groups (n = 7), which were fed the following for 22 weeks: (1) a control diet; (2) a high-carbohydrate, low-fat diet (HCD-LFD); (3) high-saturated-fat, low-carbohydrate diet (HSF-LCD); (4) a high-monounsaturated-fat diet (HMUSF); (5) a high medium-chain fat diet (HMCF); and a (6) a high-carbohydrate, high-fiber diet (HCHF). In comparison to the control, the body weight increased in all the groups. The HSF-LCD group showed the highest levels of cholesterol, triglyceride, low-density lipoprotein, hepatic enzyme, insulin resistance, and Homeostatic Model Assessment for Insulin Resistance. A liver histology analysis of the HSF-LCD group showed macrovesicular hepatic steatosis associated with large hepatic vacuolation. Additionally, it showed marked periportal fibrosis, especially around the blood vessels and blood capillaries. The lowest levels of fasting glycemia, insulin, and HOMA-IR were observed in the HCHF group. In conclusion, these findings show that dietary saturated fat and cholesterol are principal components in the development and progression of non-alcoholic fatty liver disease in rats, while fiber showed the greatest improvement in glycemic control.

Predictability of the Development of Insulin Resistance Based on the Risk Factors Among Female Medical Students at a Private College in Saudi Arabia

BACKGROUND

Insulin resistance (IR) is currently an underlying phenomenon in the etiology of most non-communicable diseases. IR has been proposed as the key linking factor for the metabolic syndrome disease cluster of glucose intolerance.

OBJECTIVES

This study's target was to assess the predictability of risk factors for IR among female medical students Methods: A cross-sectional study involving female medical students was carried out. The sample size was 272, and a suitable non-probability sampling method was employed. A correlation test was done, and a P value less than 0.05 is considered statistically significant. Each participant underwent assessment of anthropometric measurements and biochemical testing. For assessing lifestyle, validated questionnaires on physical activity, sleep pattern, dietary pattern, and stress were adopted. The anthropometric data such as height, weight, and waist circumference were collected. Biochemical testing involved estimation of the postprandial capillary blood glucose level on campus. Additionally, systolic blood pressure and diastolic blood pressure were measured.

RESULTS

The association of lifestyle risk factors with waist circumference as an indicator of IR was done where the majority of those with high waist circumference were physically inactive and more prone to stress which was statistically significant when compared to those with normal waist circumference. However, poor sleep and unhealthy diet were high among those with high waist circumference, but they were not statistically significant.

CONCLUSION

The correlation of waist circumference as an indicator of IR was highly significant with body mass index, postprandial blood sugar, systolic blood pressure, and diastolic blood pressure. A series of unhealthy lifestyle habits was contributable to developing obesity and therefore IR among medical students in Saudi Arabia.

Sodium Intake and Disease: Another Relationship to Consider

Sodium (Na+) is crucial for numerous homeostatic processes in the body and, consequentially, its levels are tightly regulated by multiple organ systems. Sodium is acquired from the diet, commonly in the form of NaCl (table salt), and substances that contain sodium taste salty and are innately palatable at concentrations that are advantageous to physiological homeostasis. The importance of sodium homeostasis is reflected by sodium appetite, an "all-hands-on-deck" response involving the brain, multiple peripheral organ systems, and endocrine factors, to increase sodium intake and replenish sodium levels in times of depletion. Visceral sensory information and endocrine signals are integrated by the brain to regulate sodium intake. Dysregulation of the systems involved can lead to sodium overconsumption, which numerous studies have considered causal for the development of diseases, such as hypertension. The purpose here is to consider the inverse-how disease impacts sodium intake, with a focus on stress-related and cardiometabolic diseases. Our proposition is that such diseases contribute to an increase in sodium intake, potentially eliciting a vicious cycle toward disease exacerbation. First, we describe the mechanism(s) that regulate each of these processes independently. Then, we highlight the points of overlap and integration of these processes. We propose that the analogous neural circuitry involved in regulating sodium intake and blood pressure, at least in part, underlies the reciprocal relationship between neural control of these functions. Finally, we conclude with a discussion on how stress-related and cardiometabolic diseases influence these circuitries to alter the consumption of sodium.

Obesity and Stress: A Contingent Paralysis

Two highly overriding problems that the society is facing today are stress and obesity. This narrative review article explains the vicious cycle of how stress leads to obesity and vice versa. Stress and obesity are interconnected to each other through different lines of cognition, behavior, and physiology. Stress can interfere with cognitive processes like self-regulation. Stress can also influence behavior by indulging in overeating of foods that are high in calories, fat, and sugar. Stress also invigorates the generation of biochemical hormones and peptides, for example, leptin, ghrelin, and neuropeptide Y. This article also extracts the contribution of weight stigma and social stress in producing obesity in an obesogenic process. Recent Studies describe that psychological distress and elevated cortisol secretion promote abdominal fat, a feature of the metabolic syndrome, improvements in mindfulness, chronic stress, and cortisol awakening response (CAR) were associated with reductions in abdominal fat. Mindfulness intervention for stress suggests that mindfulness training improves eating patterns and the CAR, which may reduce abdominal fat over time. Obesity has a multifaceted etiology. In this review, several factors of stress are identified that affect the development of obesity. This review also provides valuable insight into the relationship between obesity and stress.

Impact of the COVID-19 pandemic on BMI: Its changes in relation to socio-demographic and physical activity patterns based on a short period

Background

The COVID-19 pandemic is undoubtedly a major threat to the world. The preventive strategies designed to minimize the virus transmission by remaining at home, being isolated, and keeping social distance, which would substantially reform people’s lifestyle, physical activity, eating habits, etc. Consequently, those measures might create a disturbance in weight management and overweight. Therefore, how the COVID-19 pandemic has changed the physical activities of individuals and its impacts on the Body Mass Index (BMI) is explored herein.

Methods

An online-based cross-sectional study collected data from 338 Bangladeshi adults in November 2020. The questionnaire included socio-demographics, health-related variables, physical activity-related variables, and diet measurement. Inferential statistics (i.e., chi-square test, McNemar test) were used to measure the associations between BMI and studied variables with a consideration of two scenarios (‘before’ and ‘during’ the pandemic inception), where p<0.05 was considered statistically significant.

Results

Results showed that the prevalence of overweight was 30.5% ‘before’ the COVID-19 pandemic, which increased to 34.9% ‘during’ the pandemic; that means 4.4% of the participants significantly gained weight after the pandemic inception. There was no significant role of socio-demographic (e.g., gender, age, current residence, occupation) or physical activity-related factors (e.g., unavailability of outdoor space, not performing regular physical exercise, exercising with a partner) in changing the BMI status after the pandemic inception. However, following a proper diet plan during the COVID-19 pandemic was observed to decrease BMI status significantly.

Conclusions

The present study suggests that a minor portion of the participants reported increasing their overweight status after the pandemic inception, whereas having a proper diet plan during the pandemic can significantly decrease BMI status. Therefore, the importance of the appropriate diet plan should be considered while implementing any policies.

Stress, Inflammation and Metabolic Biomarkers Are Associated with Body Composition Measures in Lean, Overweight, and Obese Children and Adolescents

The aim of this study was to examine the associations between multiple indices of stress, inflammation and metabolism vs. body composition parameters in 121 (43 boys, 78 girls) children and adolescents, aged 5–15 y. Subjects were divided into two groups: normal weight (N) (N = 40, BMI z-score = −0.1923 ± 0.6), and overweight/obese (OB) (N = 81, BMI z-score = 2.1947 ± 1.4). All subjects completed the State-Trait Anxiety Inventory for Children (STAIC) and Children’s Depression Inventory, and underwent cortisol measurements in hair, diurnal series of saliva, and morning serum. Circulating concentrations of high sensitivity C-reactive protein (hsCRP) and other inflammation biomarkers were also obtained. Body composition analysis was performed with a clinically validated, advanced bioimpedance apparatus (BIA), while heart rate variability (HRV) was measured as a stress biomarker by photoplethysmography (PPG). The OB group had a higher STAIC-state score, waist-to-hip ratio, skeletal muscle mass, and total and abdominal fat mass, and a lower percent fat-free mass (FFM) and bone density than the N group. HRV did not differ between the groups. In the entire population, percent fat mass correlated strongly with circulating hsCRP (r = 0.397, p = 0.001), ferritin, and other inflammatory biomarkers, as well as with indices of insulin resistance. A strong correlation between serum hsCRP and hair cortisol was also observed (r = 0.777, p < 0.001), suggesting interrelation of chronic stress and inflammation. Thus, body fat accumulation in children and adolescents was associated with an elevation in clinical and laboratory biomarkers of stress, inflammation, and insulin resistance. BIA-ACC and PPG can be utilized as a direct screening tool for assessing overweight- and obesity -related health risks in children and adolescents.

Serum Neurotensin: An Objective Mirror to Acne-induced Quality of Life and Psychological Impairment

BACKGROUND

Acne is a multifactorial disorder, and stress potentially plays a role in its pathogenesis.

OBJECTIVES

We aimed to assess the serum levels of neurotensin in patients with acne vulgaris (AV) and investigate the relationship of these levels to quality of life (QoL), depression, anxiety, and stress.

METHODS

The study included 60 patients with AV classified into mild (n=20), moderate (n=20), and severe (n=20) groups and 20 healthy, age-matched, sex-matched, and body mass index (BMI)-matched individuals in a control group. Patient QoL was assessed using the Dermatology Life Quality Index (DLQI). Each participant completed the Hospital Anxiety and Depression Scale (HADS) and Perceived Stress Scale (PSS-10). Serum levels of neurotensin were measured with enzyme-linked immunosorbent assay (ELISA).

RESULTS

Neurotensin levels and scores from the three questionnaires were significantly higher among the patients with AV than the control subjects. They were also significantly elevated in patients with post-acne scars and hyperpigmentation and in those with severe acne.

CONCLUSION

It is well known that acne greatly impacts QoL and might be associated with depression, anxiety, and stress. Further, serum neurotensin could be a promising marker to objectively evaluate the psychosocial impact of AV.

Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health Research 2018

Obesity is strongly associated with multiple risk factors. It is significantly contributing to an increased risk of chronic disease morbidity and mortality worldwide. There are various challenges to better understand the association between risk factors and the occurrence of obesity. The traditional regression approach limits analysis to a small number of predictors and imposes assumptions of independence and linearity. Machine Learning (ML) methods are an alternative that provide information with a unique approach to the application stage of data analysis on obesity. This study aims to assess the ability of ML methods, namely Logistic Regression, Classification and Regression Trees (CART), and Naïve Bayes to identify the presence of obesity using publicly available health data, using a novel approach with sophisticated ML methods to predict obesity as an attempt to go beyond traditional prediction models, and to compare the performance of three different methods. Meanwhile, the main objective of this study is to establish a set of risk factors for obesity in adults among the available study variables. Furthermore, we address data imbalance using Synthetic Minority Oversampling Technique (SMOTE) to predict obesity status based on risk factors available in the dataset. This study indicates that the Logistic Regression method shows the highest performance. Nevertheless, kappa coefficients show only moderate concordance between predicted and measured obesity. Location, marital status, age groups, education, sweet drinks, fatty/oily foods, grilled foods, preserved foods, seasoning powders, soft/carbonated drinks, alcoholic drinks, mental emotional disorders, diagnosed hypertension, physical activity, smoking, and fruit and vegetables consumptions are significant in predicting obesity status in adults. Identifying these risk factors could inform health authorities in designing or modifying existing policies for better controlling chronic diseases especially in relation to risk factors associated with obesity. Moreover, applying ML methods on publicly available health data, such as Indonesian Basic Health Research (RISKESDAS) is a promising strategy to fill the gap for a more robust understanding of the associations of multiple risk factors in predicting health outcomes.

The Roles of Dietary, Nutritional and Lifestyle Interventions in Adipose Tissue Adaptation and Obesity

The obesity and the associated non-communicable diseases (NCDs) are globally increasing in their prevalence. While the modern-day lifestyle required less ventilation of metabolic energy through muscular activities, this lifestyle transition also provided the unlimited accession to foods around the clock, which prolong the daily eating period of foods that contained high calorie and high glycemic load. These situations promote the high continuous flux of carbon substrate availability in mitochondria and induce the indecisive bioenergetic switches. The disrupted bioenergetic milieu increases the uncoupling respiration due to the excess flow of the substrate-derived reducing equivalents and reduces ubiquinones into the respiratory chain. The diversion of the uncoupling proton gradient through adipocyte thermogenesis will then alleviate the damaging effects of free radicals to mitochondria and other organelles. The adaptive induction of white adipose tissues (WAT) to beige adipose tissues (beAT) has shown beneficial effects on glucose oxidation, ROS protection and mitochondrial function preservation through the uncoupling protein 1 (UCP1)-independent thermogenesis of beAT. However, the maladaptive stage can eventually initiate with the persistent unhealthy lifestyles. Under this metabolic gridlock, the low oxygen and pro-inflammatory environments promote the adipose breakdown with sequential metabolic dysregulation, including insulin resistance, systemic inflammation and clinical NCDs progression. It is unlikely that a single intervention can reverse all these complex interactions. A comprehensive protocol that includes dietary, nutritional and all modifiable lifestyle interventions, can be the preferable choice to decelerate, stop, or reverse the NCDs pathophysiologic processes.

Prevalence, Associated Factors and Psychological Determinants of Obesity among Adults in Selangor, Malaysia

BACKGROUND

The pervasiveness of obesity is a growing concern in the world. This study aims to determine the prevalence of obesity among a segment of the Malaysian population, as well as investigate associated factors and psychological determinants of obesity.

METHODS

A cross-sectional study design was carried out in Selangor, Malaysia. A total of 1380 Malaysian adults (≥18 years old) participated in a structured and validated questionnaire survey. TANITA body scale and SECA 206 body meter were used to measure the respondents' weight and height, from which measurements of their body mass index (BMI) were calculated.

RESULTS

The overall prevalence of obesity (BMI ≥ 30 kg/m2) among adults in Selangor, Malaysia, was 18.6%. Factors significantly associated with increased risk of obesity were: being female (OR = 1.61, 95% CI [1.20-2.17]), aged between 30 to 39 years old (OR = 1.40, 95% CI [1.04-1.88]), being Indian (OR = 1.55, 95% CI [1.13-2.12]), married (OR = 1.37, 95% CI [1.03-1.83]), and having only primary school education (OR = 1.80, 95% CI [1.17-2.78] or secondary school education (OR = 1.37, 95% CI [1.04-1.81]). In the multiple linear regression analysis (stepwise method), perceived stress (B = -0.107, p = 0.041), suicidal ideation (B = -2.423, p = 0.003), and quality of life in the physical health domain (B = -0.350, p = 0.003) inversely and significantly contributed to BMI among males. Among females, stressful life events contributed positively to BMI (B = 0.711, p < 0.001, whereas quality of life in the psychological domain had a negative effect (B = -0.478, p < 0.001) in this respect.

CONCLUSION

There is an urgent need to integrate psychological approaches to enhance the effectiveness of obesity prevention strategies and weight-loss programs.

Relationship Between Health-Promoting Lifestyle and Body Mass Index in Male Nurses Based on Demographic Variables

Behaviors such as an appropriate diet, physical activities, health responsiveness such as attending diagnoses and treatment recommendations, preventing from known health risks such as smoking, allocating time to rest and peace and managing stress are related to health-promoting lifestyles (HPLs). The objective of the current study was to determine the relationship between HPL and body mass index (BMI) of male nurses based on demographic variables. A descriptive correlation survey was conducted among 108 male nurses using the nonprobability sampling technique. Data were gathered through a questionnaire consisting of two parts: demographic characteristics and Pender's health promotion questionnaire. Data were analyzed by presenting measures, mean, standard deviation, independent t-test, Pearson's coefficient correlation, and one-way analysis of variance (ANOVA), using SPSS version 22. The mean score for male nurses' HPL was good (3.13). The highest mean was from spiritual growth (3.48) and the lowest was from physical activity (2.69). Approximately 24.07% participants were overweight and obese. The mean of HPL in normal-weight people was better than that of obese ones. Participants did not pay much attention to their family's health-promoting behaviors. They also were exposed to occupational hazards, including psychological (47.2%), ergonomic (21.7%), physical (20.8%), and biological hazards (10.4%). There was no significant relationship between age (p = .14), educational level (p = .95), marital status (p = .32), job experiences (p = .17), and HPL variables. As health providers, nurses should both provoke patients to attain their health and to strive to maintain and sustain their own health, especially for obesity prevention. From society's perspective, a nurse is one who knows more and acts better; therefore, paying attention to nurses' HPL is a professional and social expectation.