METHOD: A descriptive cross-sectional study was conducted among the general population of Pakistan to investigate the knowledge and perception about hand hygiene, self-reported hand hygiene practices, adherence to hand hygienic guidelines, and barriers to optimal hand hygiene. Kruskal-Wallis test, Mann-Whitney U test, and Regression model were used for statistical analysis.
RESULTS: There was a significant difference in area-based knowledge (P = 0.026), beliefs (P = 0.027), and practices (P = 0.002) regarding hand hygiene. The results of regression analysis revealed that people in urban areas were more likely to have better knowledge (β = 0.108, CI = 0.076 - 0.05, P = 0.008) and better adherence (β = 0.115, CI = 0.514 - 2.68, P = 0.004) to hand hygienic practices.
CONCLUSION: Advertisements on television and other electronic media with appealing slogans could be effective in making people more compliant to optimal hand hygienic practices.
Methods: This cross-sectional study was conducted with 202 independently mobile OP (males 32%) in seven LTC homes in the Klang Valley of Malaysia. Trained personnel measured their anthropometrics, body composition, gait speed, hand grip strength and timed up-and-go (TUG) duration. Criteria of the European Working Group on Sarcopenia in Older People (EWGSOP) and of the Asian Working Group for Sarcopenia were used to identify the presence of sarcopenia. The mini-nutritional assessment (MNA) was used to determine their nutritional status. Additionally, logistic regression analysis was performed to identify significant risk factors associated with pre-sarcopenia/sarcopenia.
Results: Pre-sarcopenia/sarcopenia was detected in 103 (51%) OP. The significant risk factors were body mass index (BMI, weight/height2; adjusted odds ratio [AOR] = 0.44, P < 0.001), percentage of body fat (PBF; AOR = 1.26, P < 0.001), age group (≥ 80 years; AOR = 3.63, P = 0.025) and 'at risk of malnutrition' status (AOR = 2.63, P = 0.049).
Conclusion: Sarcopenia is common among OP in LCT homes. The risk increases with decreasing BMI, increasing PBF, age ≥ 80 years and suboptimal nutrition status.