scholarly journals Knowledge of folic acid and spina bifida among female college students and employees in Asir region, Saudi Arabia

2018 ◽  
Vol 29 (16) ◽  
Author(s):  
Ibrahim Alnaami ◽  
Eman Alayad ◽  
Hajer Alamer ◽  
Enas Alshashaa ◽  
Asma Alahmari ◽  
...  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Hanan Alfawaz ◽  
Nasiruddin Khan ◽  
Aziza Alfaifi ◽  
Fatima M. Shahrani ◽  
Huda M. Al Tameem ◽  
...  

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Afaf Ahmed Mohamed Shaheen ◽  
Mohammed Taher Ahmed Omar ◽  
Olfat Ibrahim Ali

Abstract Background Handgrip strength (HGS) and pinch strengths (PS) are the common measures to evaluate hand function and predict general health. Normative values of HGS, PS, and prediction equations of HGS for healthy young adult women have not been reported yet in Saudi Arabia. The aims of the study were to determine the HGS and PS normative values and develop the prediction equations for the established HGS in a sample of healthy female college students, aged 19–25 years. In this descriptive cross-sectional study, 139 healthy female college students were recruited randomly from King Saud University (KSU). Both HGS and PS in kilograms were measured using a Jamar hand dynamometer and pinch gauge respectively with standard testing protocol and instructions. Results HGS significantly increased with progress in age, while there was no significant effect of age on PS. HGS and PS of the dominant hand were statistically greater than those of the nondominant hand (P < 0.05) in most ages. There were significant correlations between dominant HGS, age (r = 0.7, P < 0.001), palmar width (r = 0.74, P < 0.001), and level of physical activity (r = 0.60, P < 0.001). Regression analysis revealed that palmar width and age were the predictors of dominant HGS and accounted for 55% and 14% of the variation, respectively. Conclusions Normative values can be used as a clinical reference in the evaluation of hand function in the rehabilitation process with consideration of age and palmar width for a particular population.


2015 ◽  
Vol 5 (1) ◽  
pp. 40
Author(s):  
Eyad Al Shammari ◽  
Rafia Bano ◽  
Epuru Suneetha ◽  
Abtsam Redn Homood Alshammri

<p><strong>Aims: </strong>To assess Fat Free Mass Index, Fat Mass Index and Percent Body Fat in subjects with normal, overweight, and obese BMI and to examine if FFMI and FMI as compared to BMI have higher predictability in identification of high risk groups as defined by metabolic measurements among female college students and employees in Hail, Northern part of Saudi Arabia.</p><p><strong>Methods: </strong>Sample of 514 female college students and employees were enrolled and body composition was measured by using bioelectrical impendence technique. FFMI and FMI are calculated using the standard formula. Blood pressure (BP) and pulse were measured using automatic BP reader in a resting sitting position. Random blood glucose was tested using strip method (One touch, Simple).</p><p><strong>Results: </strong>Around 11 percent of study subjects were underweight while 25 percent were overweight and another 22 percent were obese. Only 42 percent of study population had normal weight. Except for height there were significant differences for weight, BMI, FM, FFM and %BF across age groups. Weight, FM, FFM shows a linear trend till the age 40 yrs after which an inverse trend begins. BMI continues to show linear trend across all ages. Mean FFMI was around 14 kg/m2 (range 5th – 95th percentile: 12.5 – 17.8 kg/m2) and was modestly but significantly higher (P &lt; 0.001) in the higher age group. Similarly, Mean FMI was 8.4 kg/m<sup>2</sup> (range 5th – 95th percentile: 3.8 – 18.3 kg/m2) and significantly higher (P &lt; 0.001) in the higher age group. In Regression models for SBP, BMI and %BF explain 18.7 % of variance; while for DBP, WC and %BF explain 11.2 % of variance. For blood glucose, it is FFMI, FMI and Visceral fat which explain maximum variance.</p><p><strong>Conclusion: </strong>BMI alone cannot provide information about the respective contribution of FFM or fat mass to body weight. This study presents FFMI and BFMI values that correspond to low, normal, overweight, and obese BMIs. FFMI and BFMI provide information about body compartments, regardless of height.</p>


Author(s):  
Amal M. Alshahrani ◽  
Aesha F. Siddiqui ◽  
Shamsun N. Khalil ◽  
Shehata Farag ◽  
Najim Z. Alshahrani ◽  
...  

Background: Social media are increasingly being used by young adults worldwide. The question is whether they can be successfully incorporated into health programmes to promote physical activity. Aims: To measure the effect of a WhatsApp-based intervention for promoting physical activity among female college students in Abha, Saudi Arabia. Methods: This randomized control trial from November 2019 to January 2020 included 110 students. The intervention group received a brief orientation on exercise and up to 4 physical activity promotion messages per week via WhatsApp for 10 weeks. The messages were obtained from the websites of the US Centers for Disease Control and World Health Organization (WHO). Physical activity was assessed at baseline and at 10-weeks’ follow-up using the WHO Global Physical Activity Questionnaire. Results: The 2 groups were similar in sociodemographic and baseline physical activity levels. Postintervention data analysis revealed significant improvement in the proportion of participants with moderate-intensity physical activity in the work and recreation domains. Compared with the control group, mean metabolic equivalents/week of the intervention group improved significantly. The mean difference in total physical activity before and after intervention was significant in all domains and in all categories of activity. The proportion of participants who met the WHO criteria for minimum physical activity per week increased from 69.8% to 90.5% after intervention. Conclusion: Social-network-based interventions improve physical activity and may be incorporated into youth-targeted health programmes.


Sign in / Sign up

Export Citation Format

Share Document