Displaying publications 1 - 20 of 440 in total

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  1. Abd Rashid AA, Ashari LS, Shafiee NH, Raja Ali RA, Yeong Yeh L, Shahril MR, et al.
    BMC Public Health, 2023 Jul 19;23(1):1386.
    PMID: 37468880 DOI: 10.1186/s12889-023-16283-6
    BACKGROUND: Studies on the relationship between diet and colorectal cancer (CRC) risk using single food or nutrient approach are widely conducted as opposed to dietary pattern approach. Therefore, this study aimed to determine the major dietary patterns and their association with CRC risk among Malaysians.

    METHODS: Patients aged between 18 and 80 years old from two teaching hospitals in Peninsular Malaysia were recruited through purposive sampling. Socio-demographic information and anthropometry data were assessed before the colonoscopy procedure, and dietary intake was also recorded using a validated semi-quantitative food frequency questionnaire (FFQ). Cases were those patients having histopathologically proven CRC, while controls were those without.

    RESULTS: Four major dietary patterns were identified: the allergenic diet, plant-based diet, processed diet, and energy-dense diet pattern. After adjusting for potential covariates, the processed diet pattern was consistently associated with CRC (OR = 3.45; 95% CI = 1.25-9.52; P = 0.017) while the plant-based diet, energy-dense diet, and allergenic diet were not associated with CRC risk.

    CONCLUSIONS: The processed diet pattern attributed to a diet high in confectionaries and fast foods was associated with an increased risk of CRC in the Malaysian population. In order to give prevention measures through lifestyle change, more research could be done on the effect of food patterns on faecal microbiota associated with CRC.

    Matched MeSH terms: Regression Analysis
  2. Schliemann D, Ramanathan K, Ibrahim Tamin NSB, O'Neill C, Cardwell CR, Ismail R, et al.
    BMC Cancer, 2023 Jan 06;23(1):22.
    PMID: 36609260 DOI: 10.1186/s12885-022-10487-6
    INTRODUCTION: The Colorectal Cancer Screening Intervention for Malaysia (CRC-SIM) was a CRC study of home-based testing designed to improve low screening uptake using the immunochemical fecal occult blood test (iFOBT) in Malaysia.

    METHODS: This quasi-experimental study was informed by the Implementation Research Logic Model and evaluated with the RE-AIM framework. Trained data collectors recruited by phone, randomly selected, asymptomatic adults aged 50-75 years from Segamat District, who previously completed a health census form for the South East Asia Community Observatory (SEACO). Participants were posted an iFOBT kit and asked to return a photo of the completed test for screening by health care professionals. A regression analysis of evaluation data was conducted to identify which variables were associated with the outcome indicators of 'study participation' and 'iFOBT completion' and the CRC-SIM was evaluated in terms of its appropriateness, feasibility and acceptability.

    RESULTS: Seven hundred forty-seven eligible adults (52%) agreed to participate in this study and received an iFOBT kit. Participation was significantly lower amongst Chinese Malaysians (adjusted OR 0.45, 95% CI 0.35 - 0.59, p<0.001) compared to Malays and amongst participants from the rural sub-district (Gemereh) (adjusted OR 0.71, 95% CI 0.54 - 0.92, p=0.011) compared to the urban sub-district (Sungai Segamat). Less than half of participants (42%, n=311/747) completed the iFOBT. Test-kit completion was significantly higher amongst Chinese Malaysians (adjusted OR 3.15, 95% CI 2.11 - 4.69, p<0.001) and lower amongst participants with a monthly household income ≥RM 4,850 (adjusted OR 0.58, 95% CI 0.39 - 0.87, p=0.009) compared to participants with a lower household income. The main reported reason for non-participation was 'not interested' (58.6%) and main implementation challenges related to invalid photographs from participants and engaging iFOBT positive participants in further clinic consultations and procedures.

    CONCLUSION: Home-testing for CRC (test completion) appeared to be acceptable to only around one-fifth of the target population in Malaysia. However, mindful of the challenging circumstances surrounding the pandemic, the CRC-SIM merits consideration by public health planners as a method of increasing screening in Malaysia, and other low- and middle-income countries.

    Matched MeSH terms: Regression Analysis
  3. Beh CY, Cheng EM, Mohd Nasir NF, Abdul Majid MS, Khor SF, Mohd Jamir MR, et al.
    Int J Mol Sci, 2022 May 19;23(10).
    PMID: 35628505 DOI: 10.3390/ijms23105695
    This paper aims to investigate the dielectric properties, i.e., dielectric constant (ε'), dielectric loss factor (ε″), dielectric tangent loss (tan δ), electrical conductivity (σ), and penetration depth (Dp), of the porous nanohydroxyapatite/starch composites in the function of starch proportion, pore size, and porosity over a broad band frequency range of 5 MHz-12 GHz. The porous nanohydroxyapatite/starch composites were fabricated using different starch proportions ranging from 30 to 90 wt%. The results reveal that the dielectric properties and the microstructural features of the porous nanohydroxyapatite/starch composites can be enhanced by the increment in the starch proportion. Nevertheless, the composite with 80 wt% of starch proportion exhibit low dielectric properties (ε', ε″, tan δ, and σ) and a high penetration depth because of its highly interconnected porous microstructures. The dielectric properties of the porous nanohydroxyapatite/starch composites are highly dependent on starch proportion, average pore size, and porosity. The regression models are developed to express the dielectric properties of the porous nanohydroxyapatite/starch composites (R2 > 0.96) in the function of starch proportion, pore size, and porosity from 1 to 11 GHz. This dielectric study can facilitate the assessment of bone scaffold design in bone tissue engineering applications.
    Matched MeSH terms: Regression Analysis
  4. Lim HS, Rajab J, Al-Salihi A, Salih Z, MatJafri MZ
    Environ Sci Pollut Res Int, 2022 Feb;29(7):9755-9765.
    PMID: 34505243 DOI: 10.1007/s11356-021-16321-z
    Air surface temperature (AST) is a crucial importance element for many applications such as hydrology, agriculture, and climate change studies. The aim of this study is to develop regression equation for calculating AST and to analyze and investigate the effects of atmospheric parameters (O3, CH4, CO, H2Ovapor, and outgoing longwave radiation (OLR)) on the AST value in Iraq. Dataset retrieved from the Atmospheric Infrared Sounder (AIRS) at EOS Aqua Satellite, spanning the years of 2003 to 2016, and multiple linear regression were used to achieve the objectives of the study. For the study period, the five atmospheric parameters were highly correlated (R, 0.855-0.958) with predicted AST. Statistical analyses in terms of β showed that OLR (0.310 to 1.053) contributes significantly in enhancing AST values. Comparisons among selected five stations (Mosul, Kanaqin, Rutba, Baghdad, and Basra) for the year 2010 showed a close agreement between the predicted and observed AST from AIRS, with values ranging from 0.9 to 1.5 K and for ground stations data, within 0.9 to 2.6 K. To make more complete analysis, also, comparison between predicted and observed AST from AIRS for four selected month in 2016 (January, April, July, and October) has been carried out. The result showed a high correlation coefficient (R, 0.87 and 0.95) with less variability (RMSE ≤ 1.9) for all months studied, indicating model's capability and accuracy. In general, the results indicate the advantage of using the AIRS data and the regression analysis to investigate the impact of the atmospheric parameters on AST over the study area.
    Matched MeSH terms: Regression Analysis
  5. Washif JA, Ammar A, Trabelsi K, Chamari K, Chong CSM, Mohd Kassim SFA, et al.
    PMID: 35010662 DOI: 10.3390/ijerph19010402
    The COVID-19 pandemic has affected the lifestyles and training of elite athletes around the world. The detrimental effects of lockdown periods may vary among individuals, as well as among sports and sexes. This study investigated the changes in dietary habits, and the predictors of perceived stress during lockdown and a "bubble" training camp. This cross-sectional, online survey involved 76 elite and world-class athletes from six able-bodied sports and nine parasports, all of whom were involved in a 30-day "bubble" training camp. Questions were asked on socio-demographics, training routines and wellbeing, perceived stress, and dietary habits, pertaining to "normal" training (prelockdown), lockdown training, and "bubble" camp training periods. Changes in perceived stress were trivial to small during lockdown compared to "normal" training, and trivial to moderate during a "bubble" camp, compared to lockdown. Para-athletes, males, older athletes, less experienced athletes, married individuals, and specific ethnicities appeared to be more detrimentally affected (increased perceived stress) by lockdown. These negative experiences, however, were largely reversed during "bubble" camps. During lockdown, more athletes reported increased evening snack consumption (+8%), later meal-times (+6%), decreased fluid intake (-6%), and no breakfast (+7%). These changes were reversed during "bubble" camps (12-18% improvements). Sport classification accounted for 16% of the increased perceived stress (p = 0.001) during lockdown. Overall, socio-demographic factors, improvements in training routines, well-being, and dietary habits explained 28% of the decreased perceived stress during a "bubble" camp. In conclusion, better dietary habits, training routines and well-being have implications for reduced perceived stress. During lockdown, "bubble" camps may be beneficial, but this observation may be a case-by-case consideration, and short split "bubble" periods are recommended.
    Matched MeSH terms: Regression Analysis
  6. Harun MA, Safari MJS, Gul E, Ab Ghani A
    Environ Sci Pollut Res Int, 2021 Oct;28(38):53097-53115.
    PMID: 34023993 DOI: 10.1007/s11356-021-14479-0
    The investigation of sediment transport in tropical rivers is essential for planning effective integrated river basin management to predict the changes in rivers. The characteristics of rivers and sediment in the tropical region are different compared to those of the rivers in Europe and the USA, where the median sediment size tends to be much more refined. The origins of the rivers are mainly tropical forests. Due to the complexity of determining sediment transport, many sediment transport equations were recommended in the literature. However, the accuracy of the prediction results remains low, particularly for the tropical rivers. The majority of the existing equations were developed using multiple non-linear regression (MNLR). Machine learning has recently been the method of choice to increase model prediction accuracy in complex hydrological problems. Compared to the conventional MNLR method, machine learning algorithms have advanced and can produce a useful prediction model. In this research, three machine learning models, namely evolutionary polynomial regression (EPR), multi-gene genetic programming (MGGP) and M5 tree model (M5P), were implemented to model sediment transport for rivers in Malaysia. The formulated variables for the prediction model were originated from the revised equations reported in the relevant literature for Malaysian rivers. Among the three machine learning models, in terms of different statistical measurement criteria, EPR gives the best prediction model, followed by MGGP and M5P. Machine learning is excellent at improving the prediction distribution of high data values but lacks accuracy compared to observations of lower data values. These results indicate that further study needs to be done to improve the machine learning model's accuracy to predict sediment transport.
    Matched MeSH terms: Regression Analysis
  7. Shahril MR, Zakarai NS, Appannah G, Nurnazahiah A, Mohamed HJJ, Ahmad A, et al.
    Nutrients, 2021 Sep 24;13(10).
    PMID: 34684340 DOI: 10.3390/nu13103339
    Dietary pattern (DP) and its relationship with disease biomarkers have received recognition in nutritional epidemiology investigations. However, DP relationships with adipokines (i.e., adiponectin and leptin) among breast cancer survivors remain unclear. Therefore, we assessed relationships between DP and high-molecular weight (HMW) adiponectin and leptin concentration among breast cancer survivors. This cross-sectional study involved 128 breast cancer survivors who attended the oncology outpatient clinic at two main government hospitals in the East Coast of Peninsular Malaysia. The serum concentration of HMW adiponectin and leptin were measured using enzyme-linked immunosorbent assay (ELISA) kits. A reduced rank regression method was used to analyze DP. Relationships between DP with HMW adiponectin and leptin were examined using regression models. The findings show that with every 1-unit increase in the 'energy-dense, high-SFA, low-fiber' DP z-score, there was a reduction by 0.41 μg/mL in HMW adiponectin which was independent of age, BMI, education level, occupation status, cancer stage, and duration since diagnosis. A similar relationship with leptin concentration was not observed. In conclusion, the 'energy-dense, high-saturated fat and low-fiber' DP, which is characterized by high intake levels of sugar-sweetened drinks and fat-based spreads but low intake of fruits and vegetables, is an unhealthy dietary pattern and unfavorable for HMW adiponectin concentration, but not for leptin. These findings could serve as a basis in developing specific preventive strategies that are tailored to the growing population of breast cancer survivors.
    Matched MeSH terms: Regression Analysis
  8. Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP
    J Safety Res, 2021 09;78:262-269.
    PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007
    INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).

    METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.

    RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.

    Matched MeSH terms: Regression Analysis
  9. Gopinath SCB, Xuan S
    Biotechnol Appl Biochem, 2021 Jun;68(3):554-559.
    PMID: 32460382 DOI: 10.1002/bab.1961
    One of the current issues with thyroid tumor is early diagnosis as it makes the higher possibility of curing. This research was focused to detect and quantify the level of specific target sequence complementation of miR-222 with capture DNA sequence on interdigitated electrode (IDE) sensor. The aluminum electrode with the gap and finger sizes of 10 µm was fabricated on silicon wafer, further the surface was amine-functionalized for accommodating carboxylated-DNA probe. With DNA-target RNA complementation, the detection limit was attained to be 1 fM as estimated by a linear regression analysis [y = 1.5325x - 2.1171 R² = 0.9065] and the sensitivity was at the similar level. Current responses were higher by increasing the target RNA sequence concentrations. Control experiments with mismatched/noncomplementary sequences were failed to complement the capture DNA sequence immobilized on IDE, indicating the specific target validation. This research helps diagnosing and identifying the progression with thyroid tumor and miRNA being a potential "marker" in atypia diagnosis.
    Matched MeSH terms: Regression Analysis
  10. Wei Chong B, Othman R, Jaya RP, Shu Ing D, Li X, Wan Ibrahim MH, et al.
    Materials (Basel), 2021 Mar 28;14(7).
    PMID: 33800634 DOI: 10.3390/ma14071658
    Image analysis techniques are gaining popularity in the studies of civil engineering materials. However, the current established image analysis methods often require advanced machinery and strict image acquisition procedures which may be challenging in actual construction practices. In this study, we develop a simplified image analysis technique that uses images with only a digital camera and does not have a strict image acquisition regime. Mortar with 10%, 20%, 30%, and 40% pozzolanic material as cement replacement are prepared for the study. The properties of mortar are evaluated with flow table test, compressive strength test, water absorption test, and surface porosity based on the proposed image analysis technique. The experimental results show that mortar specimens with 20% processed spent bleaching earth (PSBE) achieve the highest 28-day compressive strength and lowest water absorption. The quantified image analysis results show accurate representation of mortar quality with 20% PSBE mortar having the lowest porosity. The regression analysis found strong correlations between all experimental data and the compressive strength. Hence, the developed technique is verified to be feasible as supplementary mortar properties for the study of mortar with pozzolanic material.
    Matched MeSH terms: Regression Analysis
  11. Okwuduba EN, Nwosu KC, Okigbo EC, Samuel NN, Achugbu C
    Heliyon, 2021 Mar;7(3):e06611.
    PMID: 33869848 DOI: 10.1016/j.heliyon.2021.e06611
    Provision of equitable access to university education is the primary goal of pre-university education. Academically weak students stand to benefit more from pre-university program. However, available literature on effectiveness of the program revealed that high percentage of students still fail pre-university courses. Although the role of psycho-emotional factors on student academic performance has been highlighted, mechanism through which psycho-emotional factors impact on academic performance of pre-university science students is still not clear to offer adequate insights for proper intervention program. Therefore, we examined the pre-university students' academic performance in sciences in relation to Emotional Intelligence (EI) (Interpersonal EI and Intrapersonal EI) and Self-directed Learning (SDL). Specifically, a correlational study design was conducted to measure and gauge the level of relationships amongst Interpersonal EI, Intrapersonal EI, SDL and academic performance of pre-university students. The participants were 443 Nigerian students enrolled in pre-university science program. Students' self-report on EI and SDL were gathered and analyzed using SPSS 26 and AMOS 24. Exploratory and confirmatory factor analysis were performed to determine cross-cultural validity of the instruments in the Nigerian context. After controlling for gender and age, the hierarchical regression analysis reveals that student academic performance was positively predicted by perceived Interpersonal and Intrapersonal EI, whereas self-directed learning has an inconsistent predictive impact at different steps in the model. Overall, the predictor variables were able to explain substantial proportion of students' academic performance in pre-university program. Insightful suggestions were made.
    Matched MeSH terms: Regression Analysis
  12. Razak S, Justine M, Mohan V
    J Exerc Rehabil, 2021 Feb;17(1):52-58.
    PMID: 33728289 DOI: 10.12965/jer.2142026.013
    This cross-sectional study evaluated the relationships between anthropometric and aerobic fitness (rate of perceived exertion [RPE] and predicted maximal oxygen uptake [VO2max]) among 228 participants (age: 23.78±4.42 years). RPE and predicted VO2max were determined during the cycle ergometer exercise test. Data were also obtained for height, weight, body mass index (BMI), hip and waist (WC) circumferences. Data analysis revealed VO2max is correlated with WC (r=-0.571), weight (r=-0.521), waist-to-height ratio (WHtR) (r=-0.516), waist-to-hip ratio (WHR) (r=-0.487), and BMI (r=-0.47) in men, while, in women with WC (r=-0.581), weight (r=-0.571), WHtR (r=-0.545), BMI (r=-0.545), WHR (r=-0.473), and height (r=-0.287) (all P<0.05). Regression analysis showed WC was a significant predictor for VO2max in men and women (r2=32.6% vs. 33.7%). The receiver operating characteristic curve of WC showed 0.786 and 0.831 for men and women, respectively. WC or abdominal obesity is the strongest predictor for VO2max, which is an indicator of aerobic fitness in Malaysian adults.
    Matched MeSH terms: Regression Analysis
  13. Elmi SA, Simons D, Elton L, Haider N, Abdel Hamid MM, Shuaib YA, et al.
    Antibiotics (Basel), 2021 Jan 26;10(2).
    PMID: 33530462 DOI: 10.3390/antibiotics10020117
    Antimicrobial resistance is of concern to global health security worldwide. We aimed to identify the prevalence, resistance patterns, and risk factors associated with Escherichia coli (E. coli) resistance from poultry farms in Kelantan, Terengganu, and Pahang states of east coast peninsular Malaysia. Between 8 February 2019 and 23 February 2020, a total of 371 samples (cloacal swabs = 259; faecal = 84; Sewage = 14, Tap water = 14) were collected. Characteristics of the sampled farms including management type, biosecurity, and history of disease were obtained using semi-structured questionnaire. Presumptive E. coli isolates were identified based on colony morphology with subsequent biochemical and PCR confirmation. Susceptibility of isolates was tested against a panel of 12 antimicrobials and interpreted alongside risk factor data obtained from the surveys. We isolated 717 E. coli samples from poultry and environmental samples. Our findings revealed that cloacal (17.8%, 46/259), faecal (22.6%, 19/84), sewage (14.3%, 2/14) and tap water (7.1%, 1/14) were significantly (p < 0.003) resistant to at least three classes of antimicrobials. Resistance to tetracycline class were predominantly observed in faecal samples (69%, 58/84), followed by cloacal (64.1%, 166/259), sewage (35.7%, 5/14), and tap water (7.1%, 1/84), respectively. Sewage water (OR = 7.22, 95% CI = 0.95-151.21) had significant association with antimicrobial resistance (AMR) acquisition. Multivariate regression analysis identified that the risk factors including sewage samples (OR = 7.43, 95% CI = 0.96-156.87) and farm size are leading drivers of E. coli antimicrobial resistance in the participating states of east coast peninsular Malaysia. We observed that the resistance patterns of E. coli isolates against 12 panel antimicrobials are generally similar in all selected states of east coast peninsular Malaysia. The highest prevalence of resistance was recorded in tetracycline (91.2%), oxytetracycline (89.1%), sulfamethoxazole/trimethoprim (73.1%), doxycycline (63%), and sulfamethoxazole (63%). A close association between different risk factors and the high prevalence of antimicrobial-resistant E. coli strains reflects increased exposure to resistant bacteria and suggests a concern over rising misuse of veterinary antimicrobials that may contribute to the future threat of emergence of multidrug-resistant pathogen isolates. Public health interventions to limit antimicrobial resistance need to be tailored to local poultry farm practices that affect bacterial transmission.
    Matched MeSH terms: Regression Analysis
  14. Tay K, Beh CLJ, Babar MG, Kweh TJ, Priya E, Pau A
    BDJ Open, 2021 Jan 19;7(1):2.
    PMID: 33469006 DOI: 10.1038/s41405-021-00058-5
    OBJECTIVE: Tooth pain among adolescents is a common event that impacts substantially on quality of life. The purpose of this paper is to explore the role of race in the tooth pain experience and associated care-seeking.

    DESIGN: A cross-sectional questionnaire survey was conducted on 14-18 years from four different public schools in Kuala Lumpur. Socio-demographic, pain symptoms, and social impacts data were collected as well as medication use and visiting a dentist for tooth pain.

    RESULTS: Of 1473 questionnaires distributed, 1452 (98.6%) completed questionnaires were returned, with 269 (18.5%) reported having experienced tooth pain in the past 1 month. Those who identified as Indian (26.1%) were more likely to report tooth pain compared to Chinese (16.5%) and Malay (20.9%). In regression analysis, no factors were identified as independently associated with medication use, but Chinese and Indians compared to Malays, and those expressing difficulty sleeping were more likely to report visiting a dentist for treatment.

    CONCLUSION: Racial variations in the tooth pain experience and care-seeking have been identified. This may be related to socio-economic status, but further research is needed on the role of culture-related care-seeking and accessibility of dental services.

    Matched MeSH terms: Regression Analysis
  15. Nurcahyo R, Zulfadlillah, Habiburrahman M
    Heliyon, 2021 Jan;7(1):e05537.
    PMID: 33506119 DOI: 10.1016/j.heliyon.2020.e05537
    Previous research has emphasized the need to further investigate the impact of ISO 9001 on company performance in the manufacturing sector of developing countries. Indonesia is one of those developing countries where the implementation of ISO 9001 is yet to be adequately researched. The Indonesian automotive manufacturing industry is still unable to compete with Malaysia and Thailand even though many companies have implemented ISO 9001. This study aimed to examine the relationship between ISO 9001 and operational (productivity, customer satisfaction, and product quality) and business (sales growth, profit rate, and market share) performance of Indonesian automotive component manufacturing industries. It also aimed to identify major obstacles in the effective implementation of ISO 9001. Multiple linear regression analyses about operational and business performance were employed for this purpose. The sample size comprised 50 automotive component manufacturing industries located in the Jakarta, Bogor, Tangerang, and Bekasi region of Indonesia. The study demonstrates that the implementation of the ISO 9001:2015 quality management system has a significant positive impact on the operational performance as well as the business performance. Additionally, the operational performance has a significant positive impact on the business performance. This study also reveals the major obstacles in the effective implementation of ISO 9001 in the manufacturing industry, which include a lack of qualified personnel, inadequate training, employee resistance, and lack of commitment among top-level management executives. It offers clear implications for managers who focus on elements that will enhance the effectiveness of ISO 9001 implementation by choosing the correct strategies, allocating sufficient resources, and improving their firm's performance. The novelty of this study lies in filling the existing research gap, which involves a detailed examination of the relationship between the implementation of ISO 9001 and the company's performance, particularly in manufacturing industries of developing countries.
    Matched MeSH terms: Regression Analysis
  16. Pateel DGS, Gunjal S, Fong LF, Hanapi NSM
    Int J Dent, 2021;2021:1982083.
    PMID: 33688346 DOI: 10.1155/2021/1982083
    Background: Saliva, as a complex biofluid, plays a pivotal role in maintaining oral health and tooth integrity. There has been inconsistent data available on the relationship between salivary parameters and oral health. This study aims to investigate the association between salivary statherin, acidic proline-rich proteins (aPRP), and calcium with oral hygiene status.

    Methods: One hundred and eighty-eight healthy subjects aged between 18 and 50 years with varying oral hygiene status who gave consent to participate were included in this cross-sectional study. The subjects were recruited from primary oral health care of MAHSA University. Oral hygiene of all the participants was measured using Oral Hygiene Index-Simplified (OHI-S). Stimulated saliva collected using paraffin wax was analyzed for salivary statherin, aPRP, and calcium. The relationship between salivary statherin, aPRP, and calcium levels with OHI-S was assessed using Spearman's Rank correlation coefficient; the strength of relationship was assessed by multiple linear regression analysis.

    Results: The study found a weak positive correlation (r = 0.179, p = 0.014) between salivary statherin and OHI-S; weak negative correlation (r = -0.187, p = 0.010) between salivary aPRP and OHI-S; and moderate negative correlation between salivary statherin and salivary aPRP levels (r = -0.50, p 

    Matched MeSH terms: Regression Analysis
  17. Woon LS, Mansor NS, Mohamad MA, Teoh SH, Leong Bin Abdullah MFI
    Front Psychol, 2021;12:652326.
    PMID: 33897561 DOI: 10.3389/fpsyg.2021.652326
    Although healthcare workers play a crucial role in helping curb the hazardous health impact of coronavirus disease 2019 (COVID-19), their lives and major functioning have been greatly affected by the pandemic. This study examined the effects of the COVID-19 pandemic on the quality of life (QoL) of Malaysian healthcare workers and its predictive factors. An online sample of 389 university-based healthcare workers completed questionnaires on demographics, clinical features, COVID-19-related stressors, psychological experiences, and perceived social support after the movement lockdown was lifted. All domains of QoL were within the norms of the general population except for social relationship QoL, which was lower than the norm. Multiple linear regression analysis indicated that COVID-19-related stressors (e.g., stress due to annual leave being frozen, loss of daily routine, and frequent exposure to COVID-19 patients) and psychological sequelae (e.g., greater severity of depression, anxiety, and stress) predicted lower QoL. Conversely, greater perceived social support from friends and significant others predicted higher QoL. Clinical and demographic characteristics predicted QoL to a lesser extent: A history of pre-existing medical illness was associated only with lower physical health QoL, whereas older age and being single, divorced, or widowed were only predictive of higher environmental QoL. Efforts to enhance QoL among healthcare workers in response to the pandemic should focus on mitigating COVID-19-related stressors and psychological sequelae and facilitating social support.
    Matched MeSH terms: Regression Analysis
  18. Marzan M, Islam DZ, Lugova H, Krishnapillai A, Haque M, Islam S
    Infect Drug Resist, 2021;14:519-533.
    PMID: 33603416 DOI: 10.2147/IDR.S289964
    Background: Antibiotics are lifesaving drugs, and inappropriate uses lead to the resistance that renders them ineffective. This study aims to understand knowledge, attitude, and practice (KAP) concerning antibiotic use and resistance among university students in Bangladesh.

    Methods: A cross-sectional study was performed from January to April 2020 among students at Jahangirnagar University (JU), Bangladesh. Purposive sampling was conducted through an in-person interview using a structured questionnaire. Students from the faculties of biological sciences and non-biology background were included. The univariate ordinal regression technique was used to analyze the relationship between predictors and good knowledge about the antibiotics. A two-tailed p-value was calculated to determine statistical association.

    Results: Out of 205 study participants, 92 and 113 responders were from biological science faculty and non-biology disciplines, respectively. Less than half of the students (42.4%) showed a good knowledge level (scores higher than 80%). Biology-background students possess better knowledge than non-biology students [odds ratio (OR) = 4.44, 95% confidence level (CL) (2.56, 7.70), p < 0.001]. A better attitude was noticed among all students. The self-medication rate was quite low, and more than 90% of students were found to consume antibiotics according to the physician's prescription. Lack of treatment adherence was recorded, and students admitted to stop-taking antibiotics when symptoms disappeared (48.67% biology and 36.26% non-biology). Multivariate regression analysis was unable to detect any significant association between self-medication and gender, student category or the level of knowledge about antibiotics.

    Conclusion: Students of biological science background possessed better knowledge indicating the importance of appropriate curriculum imparted in knowledge buildup. Introducing a short course about the risk and development of antibiotic resistance will grow the students' awareness to avoid the resistance phenomenon.

    Matched MeSH terms: Regression Analysis
  19. KIEW CHEE CHING, ZUHA ROSUFILA ABU HASAN, NADIA ABU HASAN
    MyJurnal
    Shopee online has become increasingly popular among consumers for purchasing purposes as compared to brick-and-mortar retail due to the benefits and enjoyment that come with it. However, Shopee has facing intense competitive challenges with other competitors in Malaysia. In addition, it is also difficult for Shopee to compete with major leader of online shopping portal although this platform offers the same function and usage as its contender. Hence, it is important to understand consumer perceptions on the benefit and intention of using Shopee. This study examines consumer perceived usefulness, perceived ease of use, perceived price, perceived convenience and perceived trust adapted from the Technology Acceptance Model (TAM). 208 respondents who have experience online purchasing in East Cost of Malaysia were invited to participate in this study using online survey. Data were analyzed using descriptive, correlation and multiple regression analyses. The findings show that perceived convenience and perceived trust have strong influence towards consumer intention to use Shopee as platform to do online purchase. It is suggested that this study will help practitioners to understand consumer online shopping perception and intention in order to induce visitation and usage of Shopee.
    Matched MeSH terms: Regression Analysis
  20. Fareen N, Alam MK, Khamis MF, Mokhtar N
    Biomed Res Int, 2021;2021:6612598.
    PMID: 33834067 DOI: 10.1155/2021/6612598
    Objective: This study was focused on comparing and analyzing the soft tissue changes induced by Reverse Twin-Block (RTB) and Reverse Pull Face Mask (RPFM) in early and late mixed dentition Malay children having Class III malocclusion.

    Methods: This cross-sectional study includes a total sample of 95 Malay children of both early (8-9 years) and late (10-11 years) mixed dentition stages. The comparison was between 49 samples treated by RTB and 46 samples treated by RPFM. Both pre- and posttreatment changes were assessed with Holdaway's analysis using the CASSOS software. In each cephalogram, 71 anatomic landmarks were traced. Descriptive and multiple regression analyses were performed for statistical evaluation.

    Results: Statistically significant changes were noticed in soft tissue facial angle, subnasale to H-line, skeletal profile convexity, upper lip strain, H-line angle, lower lip to H-line, and inferior sulcus to H-line measurements. Gender disparity was noticed in upper lip strain. Other significant changes were influenced by the type of appliance. However, the mean differences were minute to notice clinically. Age difference did not have any effect on the treatment changes.

    Conclusions: RPFM revealed treatment outcome with more protruded upper lip than RTB.

    Matched MeSH terms: Regression Analysis
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