METHODS: The review study was conducted from December 2017, to May 2018. An online search was conducted in international and local health databases using appropriate search keywords as well as scanning reference lists of related articles. Literature published after year 2000 that reported epidemiological, demographic, clinical and socioeconomic data of Pakistani rheumatoid arthritis patients was included. Meta-analysis was performed where possible. This systematic review was registered on the international prospective register of systematic reviews PROSPERO (CRD42018090582).
RESULTS: Of the 334 research articles found, 29 (8.7%) were selected. Patients were mostly females, but no study explored impact of disease on household and family role functioning of rheumatoid arthritis-affected women in Pakistan. Most patients were uneducated (55%) and unemployed; had low disease knowledge (N = 149, 74.5%) and poor adherence to disease-modifying anti-rheumatic drugs (N = 23, 23%). Point prevalence of rheumatoid arthritis reported from Karachi was high at 26.9%. Moderate disease activity, i.e., 4.5}0.7 and mild functional disability (N = 66, 51.6%) were seen in RA patients. Almost half (N = 799, 46.9%) had comorbidities. Almost a fifth proportion of RA patients had dyslipidaemia as a comorbidity (N = 134, 16.77%) and higher cardiovascular risk score as modifiable risk factor. Undiagnosed depression (N = 134, 58.3%) and low bone mineral density (N = 93, 40.6%) were reported in RA patients. Direct monthly treatment cost of disease was significantly high considering patients' socio-economic status, i.e., USD 16.47 - 100.68. Most commonly used drug was methotrexate.
CONCLUSIONS: There is a paucity of data on Pakistani rheumatoid arthritis patients' demographic and socio-economic parameters, especially the gender element.
METHODS: The study was conducted in two stages. First, the factors affecting nutritional behaviors associated with cardiovascular disease on 350 women who were referred to Fasa urban health centers were determined based on the TPB. In the second stage, based on the results of a cross-sectional study, quasi-expeimental study was performed on 200 women covered by Fasa health centers. The questionnaire used for the study was a questionnaire based on TPB. The questionnaire was completed by the experimental and control groups before and three months after the intervention. Data were analyzed by SPSS software using logistic regression, paired t-test, independent sample t-test, and chi-square test. The level of significance is considered 0.05.
RESULT: The constructs of attitude, subjective norms, and perceived behavioral control (PBC) were predictors of nutritional behaviors associated with cardiovascular disease in women. The constructs predicted 41.6% of the behavior. The results showed that mean scores of attitude, subjective norms, PBC, intention, nutritional performance related to the cardiovascular disease before intervention were, respectively, 24.32, 14.20, 18.10, 13.37 and 16.28, and after the intervention, were, respectively, 42.32, 25.40, 33.72, 30.13 and 41.38. All the constructs except the attitude in the intervention group were significantly higher (p cardiovascular disease in women. Considering the role of mothers in providing family food baskets and the effect of their nutritional behaviors on family members, the education of this group can promote healthy eating behaviors in the community and family.
METHODS: A total of 220 T2DM patients from the University of Malaya Medical Centre, Malaysia, who had at least one CV complication and who had been taking at least one antidiabetic drug for at least 3 months, were included. The associations of antidiabetics, cardiovascular diseases, laboratory parameters, concurrent medications, comorbidities, demographics, and clinical characteristics with glycemic control were investigated.
RESULTS: Sulfonylureas in combination (P=0.002) and sulfonylurea monotherapy (P<0.001) were found to be associated with good glycemic control, whereas insulin in combination (P=0.051), and combination biguanides and insulin therapy (P=0.012) were found to be associated with poor glycemic control. Stroke (P=0.044) was the only type of CVD that seemed to be significantly associated with good glycemic control. Other factors such as benign prostatic hyperplasia (P=0.026), elderly patients (P=0.018), low-density lipoprotein cholesterol levels (P=0.021), and fasting plasma glucose (P<0.001) were found to be significantly correlated with good glycemic control.
CONCLUSION: Individualized treatment in T2DM patients with CVDs can be supported through a better understanding of the association between glycemic control and CV profiles in T2DM patients.
OBJECTIVE: The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into YouTube video commenters' perceptions and sentiments of healthy eating through text mining techniques.
METHODS: This paper applied text mining techniques to identify and categorize meaningful healthy eating determinants. These determinants were then incorporated into hypothetically defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modeling procedure.
RESULTS: With a dataset of 4654 comments extracted from YouTube videos in the context of Malaysia, we apply a text mining method to analyze the perceptions and behavior of healthy eating. There were 10 clusters identified with regard to food ingredients, food price, food choice, food portion, well-being, cooking, and culture in the concept of healthy eating. The structural equation modeling results show that clusters are positively associated with healthy eating with all P values less than .001, indicating a statistical significance of the study results. People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favorable perception of healthy eating, people may not purchase commonly recognized healthy food if it has a premium price. People associate healthy eating with weight concerns. Food taste, variety, and availability are identified as reasons why Malaysians cannot act on eating healthily.
CONCLUSIONS: This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modeling techniques to identify thematic constructs and analyze the sentiments of healthy eating.