Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation

Impact of Covid-19 lockdown on sleep quality, physical activity, and body weight among university students: A retrospective cross-sectional study

BACKGROUND

Covid-19 lockdown had caused lifestyle changes especially in sleep, physical activity, and body weight. Thus, this study aimed to determine the weight changes before and after the lockdown period and further assessed the association between sleep quality, physical activity, and body mass index (BMI).

MATERIAL AND METHODS

This was a retrospective cross-sectional study involving 107 undergraduate students in Universiti Sains Malaysia. Subjects recalled information during the first lockdown implemented in Malaysia from early March 2020 to July 2020. The questionnaire consisted of socio-demography, anthropometry, and physical activity using International Physical Activity Questionnaire and sleep quality using Pittsburgh Sleep Quality Index. Chi-square analysis was used to determine the association between the variables using Statistical Package for Social Sciences software version 26.0.

RESULTS

There was a significant increase of 1.8 kg in weight before and after the lockdown period. The majority of respondents had poor sleep quality (80.4%) and low physical activity (60.2%), respectively. Almost 29% of the subjects had sleep latency of more than 30 min while 69.1% of them had sleep duration of <7 h. There was no significant association between sleep quality and BMI as well as physical activity and BMI.

CONCLUSION

Our study demonstrated that the prevalence of poor sleep quality and low physical activity among university students was high during Covid-19 confinement. Moreover, youths have a significant increase in body weight during the lockdown period. Thus, university students may adopt exciting leisure activities to keep themselves active such as doing meditation or joining online exercise classes.

Obesity and Musculoskeletal Health of Young and Older Malaysian Women: A Cross-Sectional Study

Background

Asian women are more susceptible to musculoskeletal disorders compared to their Caucasian counterparts, and employed women are substantially more prone to musculoskeletal disorders compared to men. Data on musculoskeletal health in Malaysian women are lacking. The study's goal was to evaluate the body composition and functional performance of older and younger Malaysian women for obesity and musculoskeletal health problems.

Methods

The study included 141 post-menopausal Malaysian women and 118 young Malaysian women between 18 years old and 32 years old of age. Body composition, bone density, handgrip strength and physical performance were assessed using bio-electrical impedance analyser, calcaneal quantitative ultrasound, hand dynamometer and modified short physical performance battery test, respectively.

Results

There was a higher prevalence of 'low muscle mass' among the younger age group compared to their older counterparts (48 young women [40.0%] versus 44 post-menopausal women [31.2%]). Conversely, there was a higher prevalence of 'obesity' and 'low bone density' among the older age group compared to their younger counterparts. Mean broadband ultrasound attenuation (BUA) for both age groups was ≥ 70.0 dB/MHz. The majority of post-menopausal women had a 'minor functional decline' (40.6%), followed by moderate (28.1%), major (22.7%), severe (6.3%) and the lowest percentage for 'no decline' (2.3%).

Conclusion

There was a high prevalence of obesity with poor musculoskeletal health in older Malaysian women, which may lead to frailty and higher incidences of falls and fractures at an advanced age. The screening of musculoskeletal conditions among Malaysian women may aid in early detection of abnormalities and timely intervention.

Obesity and Its Associations with Gender, Smoking, Consumption of Sugary Drinks, and Hour of Sleep Among King Abdulaziz University Students in Saudi Arabia

BACKGROUND

This study investigated the prevalence of obesity among university students in Saudi Arabia's western region, as well as its association with gender, smoking, consumption of sugary drinks, and hours of sleep.

METHODS

A cross-sectional study recruited a simple random sample of students from King Abdulaziz University (KAU) in Saudi Arabia's western region. In this study, the Arab Teens Lifestyle (ATLS) questionnaire was used. The survey was conducted between April and June 2022.

RESULTS

In total, 659 students participated (313 males [37.3%] and 437 females [66.2%]). One-fourth of the students, 158 (24%), were overweight, and 83 (12.7%) were obese. Male participants were overweight or obese by a rate of 32.6% and 19.4%, respectively. Female overweight and obese rates were 16.2% and 6.6%, respectively. Moreover, obesity/overweight rates were 43.6% in the urban area and 36.9% in the rural area (P=0.03). A total of 370 participants (56.14%) slept less than 8 hours per day, 185 (28.1%) spent more than five hours per day watching television or using the internet, and 303 (46%) ate breakfast on a regular basis. Obesity/overweight was more common in smokers than in nonsmokers (59.7% vs 32.8%, P=0.01). The prevalence of obesity was lower among those who walked three days or more per week (28.1% vs 44.1%; P=0.01) and ran/jogged outside or on a treadmill three days or more per week (29.5% vs 39.8%; P=0.03) than among those who ran/jogged less than three days per week. Student obesity was independently predicted by being male (P=0.01), drinking more sugary drinks (P=0.01), smoking (P=0.03), and sleeping for fewer hours (P=0.03).

CONCLUSION

Obesity was more prevalent in male students, with a prevalence of 24%. Male gender, consumption of more sugary beverages, smoking, and sleeping for fewer hours were all independent predictors of obesity among university students.

Factors Associated with Mental Health among Malaysian University Music Students: Roles of Fear of COVID-19, Nomophobia, Loneliness, Sleep Quality, and Socioeconomic Status

Previous mental health studies have shown higher levels of anxiety, stress, and depression symptoms among university music students. In general, some similar findings have been observed for Malaysian music university students. In diagnosing the complications of mental health, there is consensus that it is essential to develop and evaluate a model oriented toward mental health illness prevention and treatment. To date, a suitable pattern for estimating mental health in terms of anxiety, stress, and depression among music university students is lacking. To fill this gap, we collected the necessary data from 691 music and 871 general students who were students for one year. The introduced pattern includes socioeconomic status, fear of COVID-19, nomophobia, sleep quality, loneliness, and mental health. Our data analysis proved that the levels of anxiety, depression, and stress of music students were lower than those of general students. Unlike some previous studies, in this study, the fear of COVID-19 and nomophobia didn't have the most significant impact on mental health. The most significant impacts were related to sleep quality and loneliness. These findings have the potential to inform health promotion and services in the music education system.

Weight-Related Status and Associated Predictors with Psychological Well-being among First-Year University Students in Bangladesh: A Pilot Study

University students (especially first-years) not only have to cope with their academic curriculum but also issues such as being away from the home environment and living independently for the first time. Those who do not adapt quickly to these new conditions are likely to be susceptible to physical and psychological vulnerabilities. The present study surveyed first-year Bangladeshi undergraduate students to investigate their weight status (i.e., the prevalence of being normal weight, underweight, overweight, and obese) and the prevalence of depression and associated risk factors. A cross-sectional survey was conducted among 404 first-year university students (aged 18–23 years) residing at a Bangladeshi university. The participants completed a survey examining socio-demographic and behavioral variables, alongside the WHO-5 Well-Being Index. Binary logistic regression was performed to determine significant associations between the variables under examination. Prevalence rates of being normal weight, underweight, overweight, and obese were 66.8%, 20.3%, 9.7%, and 3.2% respectively. Associated predictors of weight-related problems were being female and lack of physical exercise. The prevalence rate of depression was 68.1%. There were no significant gender differences and associated predictors of depression were lack of physical exercise, unsatisfactory sleep quality, excessive internet use, and excessive reading hours. Being underweight, overweight, or being obese alongside the prevalence of depression among first-year university students were high. Findings indicate that first-year university students are a vulnerable group for some physical and psychological problems. Findings recommend the need for intervention programs, alongside adequate and appropriate supportive services for first-year Bangladeshi university students.

Adolescent Obesity Modeling: A Framework of Socio-Economic Analysis on Public Health

Bayesian Structural Equation Modeling (SEM-Bayesian) was applied across different research areas to model the correlation between manifest and latent variables. The primary purpose of this study is to introduce a new framework of complexity to adolescent obesity modeling based on adolescent lifestyle through the application of SEM-Bayesian. The introduced model was designed based on the relationships among several factors: household socioeconomic status, healthy food intake, unhealthy food intake, lifestyle, body mass index (BMI) and body fat. One of the main contributions of this study is from considering both BMI and body fat as dependent variables. To demonstrate the reliability of the model, especially in terms of its fitting and accuracy, real-time data were extracted and analyzed across 881 adolescents from secondary schools in Tehran, Iran. The output of this study may be helpful for researchers who are interested in adolescent obesity modeling based on the lifestyle and household socioeconomic status of adolescents.

Socio-Demographic Characteristics, Body Weight Status and Energy Intake among Users and Non-Users of Dietary Supplements among Government Employees in Putrajaya, Malaysia

The use of dietary supplements is prevalent among many groups worldwide. However, few studies have examined their use among government employees. The aim of this cross-sectional study was to determine the association among sociodemographic characteristics, body weight status, and energy intake with dietary supplement use among government employees in Putrajaya, Malaysia. Simple random sampling was used to select a sample of 460 government employees from six ministries in Putrajaya, Malaysia. The data used in this study were collected through anthropometric measurements (height, weight, % body fat, waist and hip circumferences), a self-administered questionnaire (sociodemographic characteristics and dietary supplements use), and an interviewer-administered questionnaire (24-hour dietary recall; fruit and vegetable intake). The results indicated that the prevalence of dietary supplement use was 55.4%, with vitamin C (38.4%) being the most popular type of dietary supplement. Health issues (80.8%) were the most common reason for usage, internet (59.2%) was the main source of information, and pharmacies (71.8%) were the most indicated places to purchase dietary supplements. A multivariate analysis showed that participants who were female, married, had better monthly income, lived within a smaller household size, had a normal body mass index, classified as having unhealthily high body fat percentage, did not skip breakfast, and consumed at least five servings of fruits and vegetables per day were significantly more likely to use dietary supplements. In conclusion, health-conscious groups were more prone to consume dietary supplements, and due to the high prevalence of dietary supplement use, dissemination of accurate scientific information regarding dietary supplements is highly recommended among government employees.

Traditional Chinese Medicine Body Constitutions and Psychological Determinants of Depression among University Students in Malaysia: A Pilot Study

Depression is commonly observed in university students, who are a high risk group for developing psychiatric disorders during adulthood. This study aimed to determine the prevalence of depression and its traditional Chinese medicine body constitutions and psychological determinants among university students in Malaysia. A cross-sectional pilot study was conducted between 9 and 28 September 2020 among 80 university students in Malaysia. Participants completed online survey questionnaires, including the validated Patient Health Questionnaire (PHQ-9), Constitution in Chinese Medicine Questionnaire (CMCQ), Dysfunctional Attitude Scale (DAS), Depression Anxiety Stress Scale (DASS-21) stress subscale, Perceived Stress Scale (PSS-10), and Rosenberg Self-Esteem Scale (RSES), which assess depression, body constitution, dysfunctional attitude, stress, perceived stress, and self-esteem. Multiple linear regression analyses were performed to determine the associated risk factors for depression. The overall prevalence of depression among university students was 33.8%. The multiple regression analysis showed a significant relationship between depression and qi-stagnation constitution (B = 0.089, p = 0.011), balanced constitution (B = -0.077, p = 0.049), and self-esteem (B = -0.325, p = 0.001). Our findings suggest that some traditional Chinese medicine body constitutions and self-esteem are significant risk factors affecting depression among university students. Identifying risk factors of depression is vital to aid in the early detection of depression among university students.

Postpartum depression symptoms in survey-based research: a structural equation analysis

BACKGROUND

Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women.

METHODS

We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model.

RESULTS

Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong.

CONCLUSION

The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

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.

Health Behaviors of Higher Education Students from 7 Countries: Poorer Sleep Quality during the COVID-19 Pandemic Predicts Higher Dietary Risk

Health behaviors of higher education students can be negatively influenced by stressful events. The global COVID-19 pandemic presents a unique opportunity to characterize and compare health behaviors across multiple countries and to examine how these behaviors are shaped by the pandemic experience. Undergraduate and graduate students enrolled in universities in China, Ireland, Malaysia, South Korea, Taiwan, the Netherlands and the United States (USA) were recruited into this cross-sectional study. Eligible students filled out an online survey comprised of validated tools for assessing sleep quality and duration, dietary risk, alcohol misuse and physical activity between late April and the end of May 2020. Health behaviors were fairly consistent across countries, and all countries reported poor sleep quality. However, during the survey period, the COVID-19 pandemic influenced the health behaviors of students in European countries and the USA more negatively than Asian countries, which could be attributed to the differences in pandemic time course and caseloads. Students who experienced a decline in sleep quality during the COVID-19 pandemic had higher dietary risk scores than students who did not experience a change in sleep quality (p = 0.001). Improved sleep quality was associated with less sitting time (p = 0.010). Addressing sleep issues among higher education students is a pressing concern, especially during stressful events. These results support the importance of making education and behavior-based sleep programming available for higher education students in order to benefit students' overall health.

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

The EHU12/24 cohort: survey design, instruments and participants

The EHU12/24 (code of a survey from the University of the Basque Country/Euskal Herriko Unibertsitatea, UPV/EHU) study was designed to investigate the risk factors of overweight/obesity-related lifestyles, particularly those associated with diet, their psychosocial influences and the interactions among these factors. This observational cohort study was carried out according to a standardised protocol and involved a representative sample of the UPV/EHU student population. Anthropometric measurements, direct behavioural determinants, such as physical activity and diet, and indirect determinants, such as social/psychological factors, are considered. In this paper, we present the survey design, instruments, measurements and related quality management. We describe the study sample in terms of its socio-economic and demographic factors and knowledge area and summarise the methodology used to collect the data and obtain the anthropometric measurements. The participants were 603 students (59·5 % female) aged 18-28 years. The crude participation proportion was 53·5 %. Regarding the knowledge area, the lowest response proportions were obtained from the Health Sciences (38·6 %) compared with the Non-Health Sciences (48·3 %) (P = 0·003). The mean age was 20·9 years, and 83·1 % of the sample were from Basque Country. Regarding the socio-economic characteristics, there were significant differences by sex and knowledge area in most studied variables. Moreover, the Health Sciences students were more likely younger, from outside Basque Country, to have parents with university degrees and to have a higher social status. In conclusion, the EHU12/24 cohort provides valuable data for analysing the complexity and multidimensionality of obesity in university students.