Yupa Chanwikrai, Jukkrit Wungrath, Sunard Techangam, C. Pachotikarn, Shigeru Yamamoto
{"title":"Frequent Snacks Improved Energy Intake and Nutritional Status in Community-Dwelling Older Adults at Risk of Malnutrition, Chiang Mai, Thailand","authors":"Yupa Chanwikrai, Jukkrit Wungrath, Sunard Techangam, C. Pachotikarn, Shigeru Yamamoto","doi":"10.34172/jech.2022.3","DOIUrl":"https://doi.org/10.34172/jech.2022.3","url":null,"abstract":"Background: Inadequate dietary intake and malnutrition are commonly found in older adults. They tend to have early satiety that limits intake from main meals. Some reports indicated that small frequent meals may promote higher intake. From that point of view, snacks may be useful. Therefore, this study aimed to determine the effects of frequent snacks on energy intakes and nutritional status in older adults at risk of malnutrition. Methods: A randomized controlled study was conducted among older adults at risk of malnutrition in a suburban community from November 2020 to March 2021 in Chiang Mai, Thailand. Two villages were randomly assigned to either a control group (n=17) or an intervention group (n=17), and they were matched pairs by age and gender. An intervention snack consisted of 2 desserts and a box of milk (total 548 kcal) was used. For the first 3 weeks, an intervention snack was provided every day although it was too heavy for some participants. Therefore, after that, the intervention snack was provided every other day for 4 weeks. A nutrition survey by the 24-hour recall method for 3 days, body weight, mid-arm circumference (MAC), triceps skinfold (TSF), and grip strength were assessed at weeks 3 and 7 as baseline. Results: Thirty-one participants completed the study (91%). The average age was 71.8±4.8 years, and body mass index (BMI) was 19.0±2.1 kg/m2 . In the intervention snack group, there was an increased daily energy intake by 316 kcal and 214 kcal at weeks 3 and 7, respectively, (P<0.001, effect size: 0.884), with a body weight of 0.8 kg (P<0.001, effect size: 0.314), BMI of 2% (P=0.009, effect size: 0.314), and MAC of 4% (P<0.001, effect size: 0.265) compared with baseline, but such energy intake was not observed in the control group. Conclusion: Providing frequent snacks was an effective way to improve energy intake and nutritional status in community-dwelling older adults at risk of malnutrition.","PeriodicalId":36491,"journal":{"name":"Journal of Education and Community Health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47917873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Changizi, L. Ghahremani, Nilofar Ahmadloo, M. Kaveh
{"title":"Patient Health Engagement Model as the Predictor of Social Support, Self-efficacy, and Quality of Life in Breast Cancer Patients","authors":"M. Changizi, L. Ghahremani, Nilofar Ahmadloo, M. Kaveh","doi":"10.34172/jech.2022.5","DOIUrl":"https://doi.org/10.34172/jech.2022.5","url":null,"abstract":"Background: Patient health engagement (PHE) is a dynamic and evolutionary process that involves improving health; however, little information is available on the PHE model. This study aimed to investigate health engagement and its relationship with social support, self-efficacy, and the quality of life in women with breast cancer. Methods: This cross-sectional study was conducted on 129 breast cancer patients who were referred to a specialized medical clinic and met the inclusion criteria. Data were collected using the EORTC QLQ-br23 questionnaire, Communication and Attitudinal Self-efficacy Scale for Cancer (19-item), Perceived Social Support Scale, NCCN Distress Thermometer, and PHE Scale. The statistical methods used in this study were linear regression, ANOVA, CATREG (Categorical regression with optimal scaling using alternating least squares), and descriptive statistics. Results: The most commonly reported problem was tingling in hands and/or feet (43.3%). The median PHE score was 2. Additionally, 29.45% and 16.27% of the patients reported moderate and severe distress, respectively. The results of regression analysis showed that the PHE scale could predict social support, self-efficacy, quality of life and all of its dimensions (P<0.001). However, it is the strongest predictor of understanding and participating in care (P<0.001, r=0.485). Conclusion: Given that the model can predict factors effective in improving cancer and interventions based on this model have not been performed in Iran, it is recommended that health interventions based on this model should be designed and implemented.","PeriodicalId":36491,"journal":{"name":"Journal of Education and Community Health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46610377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of COVID-19 Pandemic on Students’ Mental Health: A Case Study of Jordanian Universities","authors":"M. Nuser, W. Alrashdan, Q. Banibaker","doi":"10.52547/jech.8.4.229","DOIUrl":"https://doi.org/10.52547/jech.8.4.229","url":null,"abstract":"Aims: The impact of the COVID-19 pandemic spans all aspects of life. This study aimed to investigate the mental health situation of Jordanian university students during the COVID-19 pandemic. Instrument & Methods: This cross-sectional study on 1000 university students from April to May 2020. A web-based survey that investigates students' psychological distress and anxiety was conducted. Google Form was used to create the survey, and it was published using Facebook and WhatsApp applications over university students' groups. SPSS 19 software was used for analysis. Nonparametric tests (Mann-Whitney and Kruskal-Wallis) were used to examine the significant associations between psychological distress and anxiety;an ordinal regression analysis was also performed. Findings: Of the 1000 students who filled the questionnaire, 39.3% were male, and 60.7% were female. The Mean..SD age of the student was 22..3.8 years old. 42.1% suffer from distress, and 72.6% suffer from anxiety. Furthermore, male gender and family income stability were protective factors against psychological distress and anxiety. Regions (Irbid, Balqa, Jerash, Ajloun, Alzarqa, Tafila, Amman, Aqaba, Karak, Maan) were considered as a risk factor.","PeriodicalId":36491,"journal":{"name":"Journal of Education and Community Health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44151550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}