Association between Dietary Energy Density and Mental Health in Overweight/Obese Women

Maddahi, Niloofarsadat; Yarizadeh, Habib; Setayesh, Leila; Nasir, Yasaman; Alizadeh, Shahab; Mirzaei, Khadijeh

doi:10.21203/rs.2.20529/v1

Cited by 2 publications

(3 citation statements)

References 33 publications

(37 reference statements)

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“…Respondents who sleep more per night would have a higher BMI as well. This output is supported by previous studies (Maddahi et al, 2020;Salarzadeh Jenatabadi et al, 2020).…”

Section: Discussion Based On Taguchi Methodssupporting

confidence: 88%

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Mohamed

Alanzi²,

Azizan³

et al. 2023

Front. Psychol.

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IntroductionDepression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions.MethodsRegression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications.Results and discussionOutputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables.

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“…Respondents who sleep more per night would have a higher BMI as well. This output is supported by previous studies (Maddahi et al, 2020;Salarzadeh Jenatabadi et al, 2020).…”

Section: Discussion Based On Taguchi Methodssupporting

confidence: 88%

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Mohamed

Alanzi²,

Azizan³

et al. 2023

Front. Psychol.

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“…As the results of the present study revealed, stress was one of the factors affecting tooth decay. The results of various studies (33,(76)(77)(78)(79)(80) indicate this finding and Panagiotou et al (35), no relationship was observed between stress and tooth decay in children. In justifying this discrepancy, we can point to possible differences in the rate of tooth decay and stress, as well as differences in stress measuring tools and indices used in these two studies compared to the present study.…”

Section: Discussionmentioning

confidence: 86%

“…It will affect the immune system by [1] compromising host resistance to cariogenic bacteria ( 27 ) reducing salivary secretion which will to decreased clearance ( 28 , 29 ), [2] unhealthy emotional eating habits followed by frequent snacking and more intake of sugar contained diet ( 30 , 31 ) and finally [3] impaired implementation of self-care habits ( 32 ). Noradrenaline and corticotropin-releasing hormone will also reduce appetite in times of stress; while cortisol is known as an appetite stimulant during stress relief ( 33 ). In fact, extensive and complex internal and external factors will affect appetite and consequently, the amount and the type of food consumed by humans.…”

Section: Introductionmentioning

confidence: 99%

The relationship between tooth decay with stress and BMI among elementary students in Iran

Hosseinpour

Panahi

Omidi

et al. 2022

Front. Public Health

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BackgroundTooth decay is one of the most common chronic diseases among children worldwide. Stress and body mass index are also amongst the arguable risk factors which will affect people considerably. They include biological (hormones and blood sugar), socio-economic, and environmental factors and also lifestyle. In the present study, the relationship between tooth decay with stress and BMI in children was therefore investigated.Materials and methodsThis was a cross-sectional study of a descriptive-analytical type. A total of 350 students who were referred to the clinic of the faculty of dentistry at Qazvin University of Medical Sciences during 2021–2022 were selected through convenience sampling method to participate in the study. First, the students underwent a dental examination after being measured on their height and weight. Then, two questionnaires; namely, demographic information and Children's Stress Symptom Scale (CSSS) of Scherer and Ryan-Wenger were completed by the children's parents through self-reporting. The collected data were analyzed using SPSS software version 23 and then descriptive statistics and logistic regression were applied.ResultsThe mean BMI of the participating students was in the normal range. The prevalence of tooth decay among participants was 76.9% (269 people). The mean and standard deviation of stress scores was 6.85 ± 4.01 out of 26, which was at a low level. Also, the mean and standard deviation of the BMI were 22.78 ± 5.28, which was within the normal range. The results of the logistic regression showed that the variables of “father's level of education,” “family's economic status,” “the experience of the toothache during the past year,” “the oral health status,” “the frequency of tooth brushing,” “flossing,” “stress,” and “BMI” were influential factors in tooth decay (P <0.05).ConclusionStudents who had improper BMI, more stress, less educated fathers, families with poor economic status, the experience of toothache within the past year, poor oral health status, and those who used toothbrushes and floss to a minimal degree suffered more tooth decay. Therefore, it is necessary that we pay more attention to these students in designing and implementing educational programs to prevent tooth decay.

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Association between Dietary Energy Density and Mental Health in Overweight/Obese Women

Cited by 2 publications

References 33 publications

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process

The relationship between tooth decay with stress and BMI among elementary students in Iran

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