RAMADAN FASTING – EFFECT ON HEALTHY MUSLIMS

2004 ◽  
Vol 32 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Masahiro Toda ◽  
Kanehisa Morimoto
Keyword(s):  
Mental Health ◽  
Weight Loss ◽  
Uric Acid ◽  
Health Status ◽  
Adverse Effects ◽  
Serum Uric Acid ◽  
Mental Health Status ◽  
Healthy Individuals ◽  
Ramadan Fasting ◽  
Lipid Parameters

The purpose of this review was to ascertain the effects on healthy Muslims of fasting during Ramadan. We found some changes such as weight loss, evidence of dehydration, increase in serum uric acid, and nonpharmacological improvement in lipid parameters. We also observed changes in daily lifestyles and mental-health status. Thus, observance of the Ramadan fasting has both positive and adverse effects on healthy individuals. The adverse effects, however, are unlikely to persist after Ramadan or to lead to other complications. Healthy individuals can observe Ramadan without anxiety about their health.

scholarly journals Nutritional Status of COVID 19 Patients: Possible Impact on Mental Health Status

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 215-215
Author(s):  
Ahlam el Shikieri ◽  
Ahmad Hafiz
Keyword(s):  
Mental Health ◽  
Weight Loss ◽  
Health Status ◽  
Food Intake ◽  
Nutritional Status ◽  
Mental Health Status ◽  
Related Factors ◽  
Severity Of Depression ◽  
Loss Of Appetite ◽  
The Impact

Abstract Objectives To assess the impact of the nutritional status of COVID-19 patients on their mental health status. It is hypothesized that patients would have impaired mental health status due to compromised nutritional status Methods An epidemiological, cross-sectional study included acute-severely ill COVID-19 patients in Al Madinah Al Munawarah, Saudi Arabia. The following parameters were assessed: demographic characteristics, nutritional status (using the Malnutrition Screening Tool), BMI, loss of appetite, weight loss, decreased food intake and mental health status (using the PHQ-9 to determine the severity of depression). Data collectors wore Personal Protective Equipment and spent a maximum of 15 minutes with each patient. Ethical approval was obtained from the Ministry of Health as well as patients. Statistical analysis was performed using SPSS version 26. Results Patients (n = 515; 82% males) were included. They aged 31–50 years old (60%), married (85%), had low education level (85%), employed in non-governmental sectors (67%), and were non-Saudis (76%). Patients complained of loss of appetite (32%), weight loss (16%), and decreased food intake (19%). A significant number were at risk (13.6%) and 1.6% had high risk of malnutrition. Patients (4%) were underweight and 45% were overweight and/or obese. The mean BMI was 25.4 (SD = 5). They (23.4%) suffered from various degrees of depression. Mild depression was most prevalent (17%) followed by moderate depression (4.3%). Moderately severe and severe depression were common among 2.1%. One way ANOVA indicated that the severity of depression associated with the loss of appetite (P < 0.0005), decreased food intake (P < 0.0005), weight loss (P < 0.0005), and BMI (P < 0.0005). Linear Multiple Regression showed that the loss of appetite (B = 0.037, 95%CI = 0.011–0.352, P = 0.037), weight loss (B = 0.114, 95%CI = 0.000–0.228, P = 0.0049), and BMI (B = 0.031, 95%CI = 0.004–0.057, P = 0.023) affected patients' severity of depression. Conclusions Possible factors associated with depression included loss of appetite, decreased food intake, weight change and BMI. Early detection of malnutrition-related factors and depression reduces hospital stay and cost of medication. It speeds up the rate of recovery, improves health outcomes and the quality of life. Funding Sources No funding was received.

Intrarural variation in mental health status and help-seeking of veterans in the upper midwest.

2018 ◽  
Vol 42 (3-4) ◽  
pp. 161-173
Author(s):  
Sarah Beehler ◽  
Sy Han (Steven) Chiou ◽  
B R. Balmer ◽  
Xuan Li
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Help Seeking ◽  
Mental Health Status ◽  
Upper Midwest

Negative Cognitions and Mental Health Status by Mandatory Quarantine Survey

2020 ◽  
Author(s):  
Meiqi Xin ◽  
Sitong Luo ◽  
Rui She ◽  
Yanqiu Yu ◽  
Lijuan Li ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Mental Health Status ◽  
Negative Cognitions

Mental Health Status and Health-Related Quality of Life among Systemic Lupus Erythematosus (SLE) Patients in Thailand: A Multi-Site Study

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Lupus Erythematosus ◽  
Self Esteem ◽  
Mental Health Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand

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