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

Efficacy of Oral Medication in Weight Loss Management: A Systematic Review and Network Meta-Analysis

PURPOSE

This systematic review was conducted to determine which type of oral medication for obesity provides the best weight loss effect.

METHODS

This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guideline. For this systematic review, we used 3 databases for journal searches: PubMed, ScienceDirect, and Scopus. This study only included randomized controlled trials or open-label clinical trials. There was no year limit used in the journal search for this systematic review.

FINDINGS

Eighteen randomized controlled trials, with a total population of 12,259 patients, were included. Of 18 studies, 15 were used for network meta-analysis. Based on the results of the network meta-analysis, weight loss was found in phentermine/topiramate (mean difference [MD], -3.28; 95% CI, -4.47 to -2.09), semaglutide (MD, -2.92; 95% CI, -4.38 to -1.46), phentermine (MD, -2.31; 95% CI, -3.82 to -0.81), naltrexone/bupropion (MD, -1.68; 95% CI, -2.87 to -0.49), topiramate (MD, -1.67; 95% CI, -2.86 to -0.48), and orlistat (MD, -1.44; 95% CI, -2.32 to -0.55). There were no significant differences among the groups. However, compared with placebo, all oral obesity therapies provide better benefits in weight loss (MD, -2.12; 95% CI, -2.64 to -1.59; P ≤ 0.00001).

IMPLICATIONS

Oral antiobesity drugs provide better weight loss than placebo. However, some side effects can be incurred by utilizing the drug for weight loss, especially related to the gastrointestinal system. Nonetheless, in clinical settings, consideration should be given to particular patients to reduce risk of side effects.

Interrelation Between BMI, Dietary Habits, Self-Rated Health, and Body Image Perception Among Korean Adolescents: The Korea Youth Risk Behavior Web-Based Survey (2022)

BACKGROUND/OBJECTIVES

Adolescent obesity is highly likely to lead to adult obesity and is associated with dietary habits, subjective health, and body image perception. This study aimed to analyze the relationships between BMI, dietary habits, subjective health perception, and body image perception among Korean adolescents using data from the 18th Korea Youth Risk Behavior Survey conducted in 2022 to explore strategies for reducing adolescent obesity rates.

METHODS

Data from 50,427 participants were analyzed, including BMI, seven lifestyle factors (intake frequencies of water, milk, fruit, soft drinks, vegetables, breakfast, and late-night snacks), and responses to one item each for subjective health perception and body image perception.

RESULTS

Higher intake frequencies of breakfast, fruits, soft drinks, and late-night snacks were associated with lower BMI (p < 0.001). However, among high school students, those with lower water and breakfast intake but higher soft drink and late-night snack intake exhibited an increasing trend in BMI. Subjective health perception and body image perception were interrelated, with subjective health perception influencing body image perception (p < 0.001).

CONCLUSIONS

Addressing nutritional issues within schools, including improving school meals, regulating accessible products, and providing nutritional intake guidelines, is essential. Additionally, developing tailored health education programs to promote healthy body image perceptions is necessary. This study can serve as a foundational resource for analyzing adolescent health and developing strategies to improve health behaviors in changing environments.

From clicks to calories: Online-to-offline food consumption and overweight and obesity

The rise in online-to-offline (O2O) take-out food consumption has become a global urban phenomenon. While links between general fast-food consumption and increased risks of overweight and obesity are well-documented, the specific relationship with O2O take-out food has not been thoroughly examined. This study aims to fill this research gap by investigating the impacts of take-out food consumption on the risks of being overweight and obese among urban residents. A cross-sectional online survey was conducted between April and July 2022. 716 adult respondents from the metropolitan areas of Shanghai and Suzhou were recruited. Being overweight and obese were measured using self-reported weight and height. Frequencies and preferences of O2O take-out food consumption behaviors were measured using the validated questions designed based on Food Frequency Questionnaires and Dietary Screeners, respectively. The International Physical Activity Questionnaire's short form measured the physical activity level. Cronbach's alpha and Expletory Factor Analysis were used to assess the reliability and validity of the O2O take-out food-related dietary questions. Binary logistic regression models are developed to examine associations between O2O take-out food consumption behaviors and being overweight or obese, adjusting for individual factors, physical activity level, and non-O2O take-out food consumption. The results indicated a direct correlation between frequent O2O take-out consumption and higher risks of overweight and obesity (odds ratio 1.087, 95%CI 1.068~1.106). The preference for ordering Western-style fast-food positively contributed to being overweight and obese (odds ratio 1.071, 95%CI 1.046~1.095). Conversely, a preference for Chinese-style fast food initially appeared to reduce these risks, although the association diminished when accounting for fruit and vegetable consumption. This study represents a pioneering exploration into the effects of O2O take-out food on overweight and obesity. The study results identified an association between the habitual use of O2O take-outs and an increased propensity for being overweight and obese.

Lifestyle Habits and Nutritional Profile of the Spanish Population: A Comparison Between the Period During and After the COVID-19 Pandemic

The aim of this study was to investigate the changes in habits regarding the health and lifestyle of the Spanish population during and after the COVID-19 pandemic. A cross-sectional design was used. Data were collected during the pandemic from 22,181 participants and after the pandemic from 3907 participants using the NutSo-HH Scale, assessing demographic, nutritional, and lifestyle variables. Key findings reveal a slight increase in exercise duration (+6.61%) post-pandemic, along with reductions in fried food (-3.57%), juice (-6.45%), and alcohol consumption (-9.66%). Conversely, there were notable increases in the consumption of ultra-processed foods (+2.16%), soft drinks (+6.47%), and coffee/energy drinks (+38.95%). Sleep quality, body image, and self-perceived health showed minor declines. These findings indicate that despite some positive behavioral changes, there is still a significant dependence on unhealthy dietary choices, negatively impacting both mental and physical health. The results highlight the need for public health strategies which encourage healthier eating, increased physical activity, and better sleep quality to reduce the long-term effects of lifestyle changes brought on by the pandemic. Focused interventions are necessary to curb the rising consumption of ultra-processed foods and sugary beverages while fostering overall well-being. This study underscores the vital role of ongoing surveillance and customized public health initiatives to enhance general health in the post-pandemic era.

Alterations in Circadian Rhythms, Sleep, and Physical Activity in COVID-19: Mechanisms, Interventions, and Lessons for the Future

Although the world is acquitting from the throes of COVID-19 and returning to the regularity of life, its effects on physical and mental health are prominently evident in the post-pandemic era. The pandemic subjected us to inadequate sleep and physical activities, stress, irregular eating patterns, and work hours beyond the regular rest-activity cycle. Thus, perturbing the synchrony of the regular circadian clock functions led to chronic psychiatric and neurological disorders and poor immunological response in several COVID-19 survivors. Understanding the links between the host immune system and viral replication machinery from a clock-infection biology perspective promises novel avenues of intervention. Behavioral improvements in our daily lifestyle can reduce the severity and expedite the convalescent stage of COVID-19 by maintaining consistent eating, sleep, and physical activity schedules. Including dietary supplements and nutraceuticals with prophylactic value aids in combating COVID-19, as their deficiency can lead to a higher risk of infection, vulnerability, and severity of COVID-19. Thus, besides developing therapeutic measures, perpetual healthy practices could also contribute to combating the upcoming pandemics. This review highlights the impact of the COVID-19 pandemic on biological rhythms, sleep-wake cycles, physical activities, and eating patterns and how those disruptions possibly contribute to the response, severity, and outcome of SARS-CoV-2 infection.

COVID-19 pandemic impact on gynecologic cancer treatment pathways in a Finnish tertiary center

INTRODUCTION

COVID-19 and new guidelines during the pandemic affected the gynecologic cancer treatment pathways, resulting in recorded delays and modifications in the treatment protocols. The aim of this study was to determine the impact of the COVID-19 pandemic in one of the major gynecologic cancer care centers in Finland, Tampere University Hospital.

MATERIAL AND METHODS

Our retrospective register study included 909 patients that were new gynecologic cancer cases (uterine, cervical, vulvar, vaginal, or ovarian) referred to the Tampere University Hospital Gynecologic Oncology Outpatient Clinic between March 17th, 2018, and March 15th, 2022. The patients were divided into two separate groups depending on their time of referral: time before COVID (March 17th, 2018, to March 15th, 2020), and during COVID (March 16th, 2020, to March 15th, 2022). These groups were compared in terms of patient characteristics, different cancer types and stages, symptoms, and treatment methods.

RESULTS

During the COVID-19 pandemic, patients generally suffered from cancer symptoms longer (p < 0.003) and were more likely to be overweight (p = 0.035). The improved multidisciplinary team meeting gave the patients a faster route to their first intervention during COVID (p < 0.05). An insignificant shift toward nonsurgical first interventions and non-curative intent was seen during COVID, but the multidisciplinary team treatment plans were mostly implemented accordingly on both eras. No decrease was seen in the number of new gynecologic cancer cases, and the one-year overall survival remained the same in both groups.

CONCLUSIONS

Overall, the COVID-19 pandemic did not significantly alter treatment pathways in gynecologic cancer care at Tampere University Hospital. The number of new patients and given treatments remained relatively stable. During COVID, access from referral to cancer treatment was significantly accelerated, which is likely confounded by changes to the multidisciplinary team protocol made in early 2021.

A clinician's guide to effects of obesity on childhood asthma and into adulthood

INTRODUCTION

Obesity, one of the most common chronic conditions affecting the human race globally, affects several organ systems, including the respiratory system, where it contributes to onset and high burden of asthma. Childhood onset of obesity-related asthma is associated with high persistent morbidity into adulthood.

AREAS COVERED

In this review, we discuss the disease burden in children and adults to highlight the overlap between symptoms and pulmonary function deficits associated with obesity-related asthma in both age ranges, and then discuss the potential role of three distinct mechanisms, that of mechanical fat load, immune perturbations, and of metabolic perturbations on the disease burden. We also discuss interventions, including medical interventions for weight loss such as diet modification, that of antibiotics and anti-inflammatory therapies, as well as that of surgical intervention on amelioration of burden of obesity-related asthma.

EXPERT OPINION

With increase in obesity-related asthma due to increasing burden of obesity, it is evident that it is a disease entity distinct from asthma among lean individuals. The time is ripe to investigate the underlying mechanisms, focusing on identifying novel therapeutic targets as well as consideration to repurpose medications effective for other obesity-mediated complications, such as insulin resistance, dyslipidemia and systemic inflammation.

Association of serum trefoil factor 3 and leptin levels with obesity: A case-control study

BACKGROUND

Obesity has a detrimental impact on individuals, communities, and healthcare systems. Trefoil factor 3 is a secretory protein involved in metabolic processes related to weight regulation. However, its relation with obesity is not fully understood.

OBJECTIVE

We aimed to assess the serum trefoil factor 3 level and to immunohistochemical detect the leptin in obese patients to evaluate their relation to obesity pathogenesis.

METHODS

As a case-control study, we enrolled 83 non-obese persons as a control group with a BMI (18.5-24.9) and 83 obese persons as a patient group with a BMI > 30. All the study volunteers are subjected to anthropometric measurements, glucose, and lipid profile analysis by colorimetric methods. Serum trefoil factor 3 level was estimated by ELISA and leptin hormone was detected immunohistochemically in the blood using cell block technique.

RESULTS

ROC curve analysis for TFF3 showed a good relation with obesity with an AUC of 0.891 and a cut-off value of > 96 ng/ml. There was a significant positive correlation between TFF3 and fasting blood sugar, total cholesterol, and triglycerides. The logistic regression analysis showed that TFF3 is a good risk factor for obesity incidence [p = 0.008; OR = 1.117; (95 % CI): 1.029-1.213]. This was confirmed by multiple linear regression that gave an equation for the possibility of predicting BMI using several factors including TFF3 [BMI = 0.821 + 0.051 × TFF3 + 0.044 × FBS + 0.85 × TC]. The more surprising was the ability of the immunohistochemistry cell block technique to detect leptin antigens associated with an obese person blood not only adipose tissue or serum.

CONCLUSION

Leptin hormone and TFF3 could be good indicators for obesity incidence. Further research with a larger sample size and in different populations could completely approve our results.

The effects of the COVID-19 pandemic on sedentary life in young adults: a cross-sectional study

In this study, the effects of the COVID-19 pandemic on physical activity and sedentary lifestyle of young adults were evaluated. The cross-sectional study was conducted on individuals aged 18-35 years between December 2021 and March 2022. In the study, sedentary life was evaluated with the International Physical Activity Questionnaire (IPAQ), screening time and the Brief Eating Behaviors Questionnaire. 397 people participated in the study and the mean age was 24.41 ± 4.18. Body Mass Index (BMI), time spent in front of the screen, need for psychosocial support, and Short Diet Behaviors Questionnaire (SDBQ) scores showed a significant increase during the pandemic compared to the pre-pandemic period (respectively; p < 0.001, p < 0.001, p < 0.001, p < 0.001). It has been observed that there is an increase in the time spent in front of the screen, worsening in eating behaviors, decrease in physical activity, and an increase in BMI values of young adults during pandemic.

Heterogeneity of the effect of the COVID-19 pandemic on the incidence of Metabolic Syndrome onset at a Japanese campus

Background

The coronavirus disease 2019 (COVID-19) outbreak began in China in December 2019, with the World Health Organization declaring a state of emergency in January 2020. Worldwide implementation of lockdown measures to slow the spread of the virus led to reduced physical activity, disrupted eating habits, mental health issues, and sleep disturbances, which increased the risk of lifestyle-related diseases such as metabolic syndrome (MetS). During the COVID-19 pandemic, healthcare workers, especially intensive care workers, experienced longer working hours and burnout, which further increased the risk of lifestyle-related diseases. Accordingly, it is important to identify individuals at a risk of new-onset MetS during a pandemic, which could direct preventive interventions. This study aimed to assess the heterogeneous impact of the COVID-19 pandemic on the incidence of new-onset MetS based on the conditional average treatment effect (CATE) and to identify at-risk populations.

Methods

This study analyzed health checkup data obtained from Okayama University Shikata Campus workers using paired baseline and follow-up years. Baseline data encompassed 2017 to 2019, with respective follow-up data from 2018 to 2020. Furthermore, as the COVID-19 pandemic in Japan began in January 2020, workers who underwent follow-up health checkups in 2018 to 2019 and 2020 were considered as "unexposed" and "exposed," respectively. As the Shikata campus has several departments, comparisons among departments were made. The primary outcome was new-onset MetS at follow-up. Predictor variables included baseline health checkup results, sex, age, and department (administrative, research, medical, or intensive care department). X-learner was used to calculate the CATE.

Results

This study included 3,572 eligible individuals (unexposed, n = 2,181; exposed, n = 1,391). Among them, 1,544 (70.8%) and 866 (62.3%) participants in the unexposed and exposed groups, respectively, were females. The mean age (±standard deviation) of the unexposed and exposed groups was 48.2 ± 8.2 and 47.8 ± 8.3 years, respectively. The COVID-19 pandemic increased the average probability of new-onset MetS by 4.4% in the overall population. According to the department, the intensive care department showed the highest CATE, with a 15.4% increase. Moreover, there was large heterogeneity according to the department. The high-CATE group was characterized by older age, urinary protein, elevated liver enzymes, higher triglyceride levels, and a history of hyperlipidemia treatment.

Conclusions

This study demonstrated that the COVID-19 pandemic increased the incidence of new-onset MetS, with this effect showing heterogeneity at a single Japanese campus. Regarding specific populations, workers in the intensive care department showed an increased risk of new-onset MetS. At-risk populations require specific preventive interventions in case the current COVID-19 pandemic persists or a new pandemic occurs.

Differences in cervical length during the second trimester among normal weight, overweight and obese women: A systematic review and meta-analysis

Objective

Maternal obesity has been previously linked to increased risk of preterm birth; however, the actual pathophysiology behind this observation remains unknown. Cervical length seems to differentiate among overweight, obese and extremely obese patients, compared to normal weight women. However, to date the actual association between body mass index and cervical length remains unknown. In this systematic review, accumulated evidence is presented to help establish clinical implementations and research perspectives.

Methods

We searched Medline, Scopus, the Cochrane Central Register of Controlled Trials CENTRAL, Google Scholar, and Clinicaltrials.gov databases from inception till February 2023. Observational studies that reported on women undergone ultrasound assessment of their cervical length during pregnancy were included, when there was data regarding their body mass index. Statistical meta-analysis was performed with RStudio. The quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS).

Results

Overall, 20 studies were included in this systematic review and 12 in the meta-analysis. Compared to women with normal weight, underweight women were not associated with increased risk of CL < 15 mm or < 30 mm and their mean CL was comparable (MD -1.51; 95% CI -3.07, 0.05). Overweight women were found to have greater cervical length compared to women with normal weight (MD 1.87; 95% CI 0.52, 3.23) and had a lower risk of CL < 30 mm (OR 0.65; 95% CI 0.47, 0.90).

Conclusion

Further research into whether BMI is associated with cervical length in pregnant women is deemed necessary, with large, well-designed, prospective cohort studies with matched control group.

Comparing the Use and Effectiveness of In-Person and Remote Physical Education Delivery During the COVID-19 Pandemic

BACKGROUND

Physical Education is a key component to improve youth health, but there is limited information on Physical Education delivery in different formats.

PURPOSE

We compared PE formats (in-person versus remote) across evaluation aspects: weekly minutes; perceived effectiveness; and student-to-teacher ratio.

METHODS

We distributed questionnaires (2020-2021 school year) to school contacts who represented NFL Play 60 FitnessGram® Project (n=216) schools in multiple US cities. Questionnaires entailed learning format, weekly PE minutes, perceived effectiveness, and student-to-teacher ratio. We used linear mixed models to compare PE formats across evaluation variables.

RESULTS

Among 165 schools, 10% (n=17) offered in-person instruction, 31% (n=51) offered remote instruction, and 59% offered both (n=97). Results revealed higher in-person PE minutes (77.2±7.3) compared to remote minutes (67.1±14.6), but results were not significantly different (p=0.19). School contacts reported significantly more effective in-person PE (4.0) than remote PE (2.8, p<0.001). In-person PE also had significantly smaller reported student-to-teacher ratio (16.7) compared to remote PE (23.7, p<0.001).

DISCUSSION

Findings indicate PE was offered during the pandemic, but remote learning appeared less effective than in-person PE.

TRANSLATION to HEALTH EDUCATION PRACTICE

Efforts are needed to improve remote PE to reinforce high-quality PE in the future.

Maternal Body Mass Index Trends and Weight Gain in Singleton Pregnancies at the Time of Fetal Anatomic Survey: Changes in the Last Decade and New Trends in the Modern Era

(1) Background: the worldwide impact of overweight and obesity is rising, increasingly resembling an epidemic (a price we have to pay for our new way of living). (2) Methods: our study aims to evaluate the temporal trends and patterns of singleton pregnant women's BMI (body mass index) in our region during a 12-year time frame between 2010 and 2021. (3) Results: We noticed a statistically significant difference between the BMIs of nulliparous and multiparous women and a significantly increased pregestational BMI in women with previous ART (assisted reproductive technology) procedures. Smoking pregnant women had a higher second trimester weight gain, regardless of parity. Women with folic acid supplementation alone had a higher BMI than those with folic acid and multivitamin intake. The weight of both nulliparous and multiparous women with chronic hypertension was statistically significantly higher in all three timeframes. Global weight gain did not reveal any statistically significant changes concerning women with pregestational diabetes, regardless of parity and the pregnancy trimester. (4) Conclusions: our article describes the trends in obesity and overweight in our middle-income country, in which this pathology is continuously growing, negatively influencing our reproductive-aged women and future generations.

Body mass index and prevalence of metabolic syndrome among Korean adults before and after the COVID-19 outbreak: a retrospective longitudinal study

OBJECTIVES

Studies evaluating weight changes during the coronavirus disease 2019 (COVID-19) pandemic have yielded inconsistent results, and most of those studies were based on self-reported anthropometric measures. We investigated changes in body mass index (BMI), professionally measured waist circumference (WC), and metabolic syndrome components from before to during the pandemic in a sample of the adult population in Korea.

METHODS

This retrospective study included 1,118 male and female (age≥18 years) who underwent health checkups at a university medical center between January 1, 2016 and March 31, 2022. Changes in BMI, lifestyles, and metabolic syndrome components during the pandemic were analyzed using the paired t-test, McNemar test, generalized estimating equations, and repeated-measures analysis of variance.

RESULTS

Changes in body weight, BMI, and body fat percentage during the pandemic were not clinically significant. However, statistically significant results were found for decreased physical activity (p<0.001) and WC (p<0.001), and exacerbation of all metabolic syndrome components (except serum triglyceride levels). Moreover, the metabolic syndrome prevalence increased significantly from 20.2% to 31.2% during the pandemic (p<0.001). The prevalence of abdominal obesity and high fasting blood glucose levels also significantly increased from 2019 to 2021.

CONCLUSIONS

Metabolic syndrome, its components, and fat distribution worsened significantly after the implementation of social distancing and lockdowns, despite no clinically significant changes in body weight and BMI. Further studies on the post- pandemic period should investigate the long-term impact of social lockdowns on BMI and the prevalence of metabolic syndrome.

Central and Peripheral Inflammation: A Common Factor Causing Addictive and Neurological Disorders and Aging-Related Pathologies

Many diseases and degenerative processes affecting the nervous system and peripheral organs trigger the activation of inflammatory cascades. Inflammation can be triggered by different environmental conditions or risk factors, including drug and food addiction, stress, and aging, among others. Several pieces of evidence show that the modern lifestyle and, more recently, the confinement associated with the COVID-19 pandemic have contributed to increasing the incidence of addictive and neuropsychiatric disorders, plus cardiometabolic diseases. Here, we gather evidence on how some of these risk factors are implicated in activating central and peripheral inflammation contributing to some neuropathologies and behaviors associated with poor health. We discuss the current understanding of the cellular and molecular mechanisms involved in the generation of inflammation and how these processes occur in different cells and tissues to promote ill health and diseases. Concomitantly, we discuss how some pathology-associated and addictive behaviors contribute to worsening these inflammation mechanisms, leading to a vicious cycle that promotes disease progression. Finally, we list some drugs targeting inflammation-related pathways that may have beneficial effects on the pathological processes associated with addictive, mental, and cardiometabolic illnesses.

Impacts of commute mode on body mass index: A longitudinal analysis before and during the COVID-19 pandemic

Introduction

COVID-19 has impacted millions of commuters by decreasing their mobility and transport patterns. While these changes in travel have been studied, less is known about how commute changes may have impacted individuals' body mass index (BMI). The present longitudinal study explores the relationship between commute mode and BMI of employed individuals in Montréal, Canada.

Methods

This study uses panel data drawn from two waves of the Montréal Mobility Survey (MMS) conducted before and during the COVID-19 pandemic (n = 458). BMI was modeled separately for women and men as a function of commuting mode, WalkScore©, sociodemographic, and behavioral covariates using a multilevel regression modeling approach.

Results

For women, BMI significantly increased during the COVID-19 pandemic, but telecommuting frequency, and more specifically telecommuting as a replacement of driving, led to a statistically significant decrease in BMI. For men, higher levels of residential local accessibility decreased BMI, while telecommuting did not have a statistically significant effect on BMI.

Conclusions

This study's findings confirm previously observed gendered differences in the relations between the built environment, transport behaviors, and BMI, while offering new insights regarding the impacts of the changes in commute patterns linked to the COVID-19 pandemic. Since some of the COVID-19 impacts on commute are expected to be lasting, findings from this research can be of use by health and transport practitioners as they work towards generating policies that improve population health.

Impact of Final Phase Social Isolation and the COVID-19 Pandemic on Eating Behavior, Sleep Quality, and Anxiety Level

The coronavirus disease 2019 (COVID-19) pandemic has resulted in economic, social, and behavioral changes in people, which may favor several long-term consequences. This study evaluated the effects of the COVID-19 pandemic on eating behavior and mental health in the final phase of social isolation. This cross-sectional study included 756 adults that completed an online questionnaire. Individuals were stratified into those who had been infected with COVID-19 (GCOV) and those who did not (GNCOV). The GCOV group had higher weight (p = 0.013), body mass index (BMI) (p = 0.005), anxiety levels (p = 0.040), sleep disorders (p = 0.009), and poorer sleep quality (p = 0.0028). In the GCOV, the consumption of ultra-processed foods was associated with higher anxiety levels and poorer sleep quality. A higher proportion of individuals who consumed more than five servings of in natura food was observed in the group with taste and olfactory dysfunction than in the group without. Obesity contributes to uncontrolled and emotional eating disorders, increased anxiety, and worsened sleep. Therefore, COVID-19 impaired mental health and eating behavior even in the long term. These changes were potentiated by the presence of obesity and consumption of ultra-processed foods, evidencing the importance of monitoring these individuals even after the resolution of COVID-19.

Change in Prevalence of Hypertension among Korean Children and Adolescents during the Coronavirus Disease 2019 (COVID-19) Outbreak: A Population-Based Study

During the coronavirus disease 2019 (COVID-19) outbreak, the prevalence of obesity increased globally; this may be associated with hypertension incidence. However, investigations on the changes in the prevalence of hypertension among children and adolescents are limited. This cross-sectional study investigated the prevalence of hypertension among 1428 youths aged 10-18 years using data from the Korea National Health and Nutrition Examination Survey 2018-2020. We assessed the prevalence of hypertension according to sex, age, body mass index (BMI), and residential district. The prevalence of hypertension increased from 7.1% to 12.5% in all participants. In the sex-specific analysis, the prevalence was found to be increased in boys. In the age-specific analysis, the prevalence was found to be increased in youths aged 13-15 years. In the BMI-specific analysis, an increase in the prevalence was prominent in the normal BMI group. In the residential district-specific analysis, the prevalence of hypertension among youth increased in urban areas. Our results show that the prevalence of hypertension increased among Korean children and adolescents during the COVID-19 outbreak. These findings suggest the importance of close monitoring of hypertension among youth during the COVID-19 pandemic.

Changes in Physical Activity and Health Indicators among Koreans during the COVID-19 Pandemic: Comparison between 2019 and 2020

This study aimed to compare the changes in physical activity (PA), chronic disease, and mental health indicators of Koreans before and after the COVID-19 outbreak, using raw data from more than 400,000 representative samples from the 2019-2020 Community Health Survey by the Korea Centers for Disease Control and Prevention, and to explore the correlations among them. We used two-way ANOVA to analyze changes and differences in PA and obesity levels. We assessed the influence of gender and recurrent PA using chi-square tests for mental health status and chronic disease. Finally, we performed a correlation analysis to determine the relationships among PA days, mental health, and chronic disease. The results showed that, compared to the levels before the COVID-19 period, moderate-intensity (Days: 1.415~1.217; Time: 114.688~107.321) and high-intensity (Days: 0.798~0.671; Time: 112.866~106.110) PA significantly decreased in Koreans during the COVID-19 period, while low-intensity (Time: 60.305~61.735) PA increased. Before and during the COVID-19 period, men (18,436 (8.1%)~16,124 (7.0%)) performed PA more regularly than women (13,207 (5.8%)~9382 (4.1%)). Compared to the number of regular PA participants before the COVID-19 period, regular PA participants (male, female) decreased from 31,643 (13.8%) to 25,506 (11.1%) during the COVID-19 period. Compared with the levels before the COVID-19 period, the experience rates of stress (3.1%~2.6%), depression (0.8%~0.6%), HBP (3.0%~2.2%), and diabetes (1.2%~0.9%) significantly changed under different levels of conventional PA intervention. In addition, the obesity rate during the COVID-19 period (23.957) was higher than it was before COVID-19 (23.477). During the COVID-19 period, the PA of Koreans was greatly restricted, but low-intensity PA was maintained and increased. PA is an effective activity for maintaining mental health and for preventing and reducing chronic diseases. Recommendations for appropriate intensity or a combination of high-, moderate-, and low-intensity PA should be based on the health status of Koreans to help them maintain mental health and to reduce the risk of chronic diseases during COVID-19 social distancing.

Sex disparities in food consumption patterns, dietary diversity and determinants of self-reported body weight changes before and amid the COVID-19 pandemic in 10 Arab countries

Background

The COVID-19 pandemic along with its confinement period boosted lifestyle modifications and impacted women and men differently which exacerbated existing gender inequalities. The main objective of this paper is to assess the gender-based differentials in food consumption patterns, dietary diversity and the determinants favoring weight change before and amid the COVID-19 pandemic among Arab men and women from 10 Arab countries.

Methods

A cross-sectional study was conducted based on a convenience sample of 12,447 households' family members (mean age: 33.2 ± 12.9; 50.1% females) and information from participants aged 18 years and above was collected about periods before and during the pandemic.

Results

Findings showed that, during the COVID-19 period, the dietary diversity, declined by 1.9% among females compared to males (0.4%) (p < 0.001) and by 1.5% among overweight participants (p < 0.001) compared to their counterparts.

Conclusions

To conclude, gender-sensitive strategies and policies to address weight gain and dietary diversity during emergent shocks and pandemics are urgently needed in the region.

IoT Framework for a Decision-Making System of Obesity and Overweight Extrapolation among Children, Youths, and Adults

Approximately 30% of the global population is suffering from obesity and being overweight, which is approximately 2.1 billion people worldwide. The ratio is expected to surpass 40% by 2030 if the current balance continues to grow. The global pandemic due to COVID-19 will also impact the predicted obesity rates. It will cause a significant increase in morbidity and mortality worldwide. Multiple chronic diseases are associated with obesity and several threat elements are associated with obesity. Various challenges are involved in the understanding of risk factors and the ratio of obesity. Therefore, diagnosing obesity in its initial stages might significantly increase the patient’s chances of effective treatment. The Internet of Things (IoT) has attained an evolving stage in the development of the contemporary environment of healthcare thanks to advancements in information and communication technologies. Therefore, in this paper, we thoroughly investigated machine learning techniques for making an IoT-enabled system. In the first phase, the proposed system analyzed the performances of random forest (RF), K-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), logistic regression (LR), and naïve Bayes (NB) algorithms on the obesity dataset. The second phase, on the other hand, introduced an IoT-based framework that adopts a multi-user request system by uploading the data to the cloud for the early diagnosis of obesity. The IoT framework makes the system available to anyone (and everywhere) for precise obesity categorization. This research will help the reader understand the relationships among risk factors with weight changes and their visualizations. Furthermore, it also focuses on how existing datasets can help one study the obesity nature and which classification and regression models perform well in correspondence to others.

The impact of the COVID-19 pandemic on lifestyle patterns: Does gender matter?

Background

The COVID-19 pandemic has significantly impacted individuals to deviate from normal lifestyle behaviors. But, there is a paucity of studies conducted in Bangladesh assessing how lifestyle patterns (i.e., smoking, drug use, physical exercise) have changed after the pandemic, which was investigated in this study.

Methods

An online-based cross-sectional survey was conducted among a total of 756 Bangladeshi young adults between April 1 and 13, 2020. Lifestyle patterns data were collected based on two periods from the COVID-19 pandemic inception point in the country, (i) '1 year before', and (ii) '1 year after'. Basic descriptive statistics (i.e., frequency and percentages) and Chi-square tests were performed to examine the associations of the independent variables in relation to lifestyle patterns.

Results

A 0.2 and 4.7% reduction in smoking and physical exercise, respectively, was observed after the pandemic. But the prevalence of drug use was 1.5% before the COVID-19 pandemic, which rose to 1.9% during the pandemic; representing a 0.4% increment. The changes in lifestyle patterns before and during the COVID-19 pandemic was statistically significant only for physical exercise. Of the gender, male participants were more prevalent in smoking, drug use, and performing physical exercise in both periods.

Conclusion

It is suggested to increase awareness concerning adverse effects of drug use and not performing physical exercise, where the gender-based focus is highly appreciated.

The COVID-19 Pandemic and Overall Wellbeing: Mediating Role of Virtual Reality Fitness for Physical-Psychological Health and Physical Activity

Background

Virtual reality applications are made for various objectives such as business, entertainment, education, and healthcare. Anxiety, phobias, distress, disordered eating, drug addiction, panic disorder, post-traumatic stress disorder, schizophrenia, bipolar disorder, psychosis, depression, and autism spectrum disorders may benefit from virtual reality-based approaches. The 2019 coronavirus (COVID-19) pandemic has impacted the way we live, enjoy, study, sport, and socialize significantly. Virtual reality fitness technology gained much attention during the COVID-19 preventive measures time.

Objective

The present study explores the role of virtual reality fitness in improving overall wellbeing during the COVID-19 pandemic home isolation period in terms of physical-psychological health and physical activity.

Methods

A total of 2300 individuals were recruited using the snowball sampling technique to participate in the study. The primary data were collected using an anonymous web-based survey. SPSS-23 and Smart-PLS 3.2.9 software were used to analyze the data.

Results

The direct path coefficient analysis of the study constructs show that virtual reality fitness has (preventive measures -> virtual reality fitness -> overall wellbeing, preventive measures -> virtual reality fitness -> physical exercise, and preventive measures -> virtual reality fitness -> physical health) profound effects on the research participants’ mental and physical wellbeing of the study participants while indirect mediation analysis shows that virtual reality fitness has (preventive measures -> virtual reality fitness ->overall wellbeing, preventive measures -> virtual reality fitness -> physical exercise, preventive measures -> virtual reality fitness ->physical health) significant impacts.

Conclusion

Our study results concluded that house exercises through virtual reality fitness are a good substitute for public gyms and private group fitness programs during the first pandemic wave for physical-psychological and overall wellbeing. Virtual reality fitness technology can alleviate many of the challenges brought on by the epidemic, resulting in increased utilization.

Facebook use and its predictive factors among students: Evidence from a lower- and middle-income country, Bangladesh

BACKGROUND

Facebook is a popular social networking site in the modern world. It has an adverse effect such as impairing daily health and psychological health and also interpersonal relationships when the use becomes problematic.

AIMS

To examine problematic Facebook use (PFU) and its predictors among Bangladeshi students during the COVID-19 pandemic.

METHOD

A cross-sectional online survey was conducted among 601 Bangladeshi students and collected data related to socio-demographic information, behavioral health, internet use behavior, depression, anxiety and problematic Facebook use [assessed using the Bergen Facebook Addiction Scale (BFAS)]. The data were analyzed using descriptive (frequencies and percentages) and inferential statistics (independent sample t-tests, one-way ANOVAs, correlations, and multivariable linear regression).

RESULTS

The results indicated that 29.1% of participants were problematic Facebook users (using cutoff ≥18 out of 30). Medical college students had higher mean score on PFU than other students (p < 0.001). In addition, the mean score of PFU was significantly higher among the students who were in a relationship (p = 0.001), did not engage in physical activity (p < 0.001), used the internet more than 5 h per day (p < 0.001), used social media (p < 0.001), and had depression or anxiety symptoms (p < 0.001). PFU was significantly associated with depression and anxiety among the whole sample. Predictive factors for PFU included relationship status, daily internet use time, gaming, social media use, depression, and anxiety. The model predicted almost 33.2% variance for PFU.

CONCLUSIONS

Findings suggest interventions should be implemented for students with a special focus on medical students who had higher score of PFU than other types of students.