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  1. Balami AD, Md Said S, Mohd Zulkefli NA, Bachok N, Audu B
    BMC Pregnancy Childbirth, 2020 Nov 25;20(1):726.
    PMID: 33238901 DOI: 10.1186/s12884-020-03388-8
    BACKGROUND: Studies on uptake of first dose of intermittent preventive treatment in pregnancy (IPTp) are lacking, despite it being a predictor of subsequent doses. This study aimed at assessing the determinants of uptake of first dose of IPTp among pregnant women at the State Specialist Hospital, Maiduguri.

    METHODS: A cross-sectional study was conducted, in which respondents were selected using a systematic random sampling method, and structured questionnaires were used to obtain information from them. Chi-squared test was used to determine factors associated with uptake of first IPTp dose, while a further multivariate logistic regression was performed to determine its predictors.

    RESULTS: Three hundred and eighty respondents answered the survey, whose ages ranged from 15 to 45 years, and 86.8% were multigravid. Sixty five percent of them were aware of IPTp, and 34.7% believed that IPTp could be harmful to their pregnancies. Over a half of the respondents (52.9%) believed that taking all their IPTp medicines was very good for their pregnancies, while 45.0% felt that taking their IPTp medicines was very pleasant. Only two respondents (0.5%) stated that it was very untrue that their significant others thought that they should take all their IPTp medicines. Half of the respondents said it was very easy for them to take all their IPTp medicines even if they were experiencing mild discomforts while taking them. Less than a half (42.37%) had received their first dose of IPTp. In bivariate as well as multivariate analysis, only higher level of knowledge was significantly associated with uptake of first IPTp dose. Those with better knowledge of IPTp were about twice more likely to have taken their first dose of IPTp, compared to those with lower knowledge of IPTp (AOR = 1.85; 95% CI: 1.17-2.92).

    CONCLUSIONS: Knowledge of IPTp as well as its uptake, were sub-optimal in this study. Since knowledge of IPTp significantly predicts uptake of the first dose of IPTp, there is the need to implement health education campaigns to raise the awareness of pregnant women and their families on the need to receive and comply with it.

    Matched MeSH terms: Logistic Models
  2. Ananth S, Shrestha N, Treviño C JA, Nguyen US, Haque U, Angulo-Molina A, et al.
    Pathogens, 2020 Nov 19;9(11).
    PMID: 33228120 DOI: 10.3390/pathogens9110964
    Arboviruses such as Chikungunya (CHIKV), Dengue (DENV), and Zika virus (ZIKV) have emerged as a significant public health concern in Mexico. The existing literature lacks evidence regarding the dispersion of arboviruses, thereby limiting public health policy's ability to integrate the diagnosis, management, and prevention. This study seeks to reveal the clinical symptoms of CHIK, DENV, and ZIKV by age group, region, sex, and time across Mexico. The confirmed cases of CHIKV, DENV, and ZIKV were compiled from January 2012 to March 2020. Demographic characteristics analyzed significant clinical symptoms of confirmed cases. Multinomial logistic regression was used to assess the association between clinical symptoms and geographical regions. Females and individuals aged 15 and older had higher rates of reported significant symptoms across all three arboviruses. DENV showed a temporal variation of symptoms by regions 3 and 5, whereas ZIKV presented temporal variables in regions 2 and 4. This study revealed unique and overlapping symptoms between CHIKV, DENV, and ZIKV. However, the differentiation of CHIKV, DENV, and ZIKV is difficult, and diagnostic facilities are not available in rural areas. There is a need for adequately trained healthcare staff alongside well-equipped lab facilities, including hematological tests and imaging facilities.
    Matched MeSH terms: Logistic Models
  3. Ting SL, Saimon R, Rahman MM, Safii R, Ho SL, John N, et al.
    Med J Malaysia, 2020 11;75(6):649-654.
    PMID: 33219172
    BACKGROUND AND OBJECTIVE: Physical and behavioural problems from extended usage of electronic devices are issues among primary school children. This study is aimed to investigate the prevalence of physical and behavioural complaints arising from the electronic device usage and to identify the potential factors that predicted the complaints.

    METHODS: This was a primary school-based cross-sectional study using multistage cluster sampling, conducted at Bau district in Sarawak, Malaysia in 40 primary schools. A questionnaire was used to collect information of usage pattern in insufficient lighting, timing and position. The physical and behavioural complaints were traced. Data analysis was performed using SPSS version 22. A p-value < 0.05 with 95% CI was considered as statistically significant.

    RESULTS: About 52.8% of the 569 students used digital devices in a bright room, 69.8% in the day time and 54.4% in sitting position. The physical complaints were headache (32.9%), neck, shoulder and back pain (32.9%) followed by by eye strain (31.8%). Regarding behavioural problems, 25.7% of the students had loss of interest in study and outdoor activities (20.7%), skipped meals (19.0%) and arguments/disagreements with parents (17.9%). After logistic regression analysis, the lying position (OR=1.71, 95% CI: 1.096, 2.688) and darkroom lighting (OR=2.323 95% CI: 1.138, 4.744) appeared to be potential predictors of the complaint.

    CONCLUSION: One-quarter of the students studied experienced physical complaints, and one-fifth had behavioural problems associated with the use of electronic devices. Lying position and darkroom lighting are the potential predictors of complaints. Therefore, we suggest that the children should use electronic devices in the sitting position with adequate room lighting.

    Matched MeSH terms: Logistic Models
  4. Gupta R, Singhal A, Malhotra A, Soni A, Masih GD, Raghav M
    Malays Orthop J, 2020 Nov;14(3):50-56.
    PMID: 33403062 DOI: 10.5704/MOJ.2011.009
    Introduction: Few authors have addressed risk factors related to an ipsilateral graft rupture and contralateral anterior cruciate ligament (ACL) injury after return to sports (RTS) following primary ACL reconstruction.

    Material and Methods: Patients with ACL re-injury to either knee after successful primary ACLR were included in Group I and those with no further re-injury were included in Group II. Variables including age, gender, side, body mass index (BMI), thigh atrophy, anterior knee laxity difference between both knees measured by KT-1000 arthrometer, mean time of return to sports (RTS), graft type, type of game, mode of injury, Tegner Activity Score, hormone levels, femoral tunnel length (FTL), posterior tibial slope (PTS) and notch width index (NWI) were studied. Binary logistic regression was used to measure the relative association.

    Results: A total of 128 athletes were included with 64 in each group. Mean age in Group I and II were 24.90 and 26.47 years respectively. Mean follow-up of Group I and Group II were 24.5 and 20.11 months respectively. Significant correlation was present between ACL re-injury and following risk factors; PTS of >10º, KT difference of >3.0mm, thigh atrophy of >2.50cm and time to RTS <9.50 months P value <0.05). No correlation was found with age, sex, BMI, type of game, Tegner Activity Score, mode of injury, NWI, size of graft, FTL and hormone levels.

    Conclusion: Possible risk factors include PTS of ≥ 10º, KT difference of ≥ 3.0mm at 1 year follow-up, thigh atrophy of ≥ 2.50cm at 1 year follow-up and RTS <9.5 months after primary ACLR.

    Matched MeSH terms: Logistic Models
  5. Draman S, Ab Rahman NS, Nik Mohamed MH, Ab Rahman J, Kartiwi M
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S718-S727.
    PMID: 33828367 DOI: 10.4103/jpbs.JPBS_384_19
    Context: Electronic cigarettes have been used as a harm reduction method toward tobacco cessation. Malaysian government has enforced a strict policy to regulate the sale of electronic cigarette products because its liquid contains nicotine.

    Aims: This study aimed to explore the general public's perception toward electronic cigarette use. Public support toward electronic cigarette regulation was also examined.

    Settings and Design: This was a Malaysian population-based survey.

    Materials and Methods: Data were obtained from the National E-Cigarette Survey (NECS) 2016, which used a multistage stratified cluster sampling household survey representing all Malaysian adults aged 18 years old. A cross-sectional survey was conducted among a total of 4288 adults.

    Statistical Analysis Used: Descriptive and logistic regression analysis.

    Results: Majority were aged 25-44 years old (44%), completed at least secondary education (69%), of Malay ethnicity (73%), and married (68%). Majority (88.1%) have never used electronic cigarette. A quarter (25.5%) perceived electronic cigarette helps people quit cigarette smoking, whereas 20.3% perceived electronic cigarette helps people to maintain cigarette abstinence. Approximately 85% believed that electronic cigarette use does not help in improving breathing and coughing. Majority (91.8%) disagreed that electronic cigarettes should be allowed in places where tobacco smoking is banned. Thus, 63.4% agreed that electronic cigarette should be banned completely rather than regulated.

    Conclusion: Majority of general public had negative perception about electronic cigarette use.

    Matched MeSH terms: Logistic Models
  6. Akkawi ME, Mohd Taufek NH, Abdul Hadi AD, Nik Lah NNNF
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S747-S751.
    PMID: 33828372 DOI: 10.4103/jpbs.JPBS_305_19
    Introduction: A geriatric syndrome is a group of signs and symptoms that occur in older people and do not fit into a discrete disease. Several medications were reported to be associated with the incidence of geriatric syndromes.

    Objective: The objective of this study was to investigate the prevalence and pattern of medications associated with geriatric syndromes (MAGSs) among the discharged elderly patients (≥65 years old).

    Materials and Methods: This is a cross-sectional study that was conducted at a Malaysian teaching hospital from October to December 2018. The discharge medications of geriatric patients were reviewed to identify MAGSs using Beers criteria, Lexicomp drug information handbook, and the United States Food and Drug Administration (USFDA) drug inserts. Chi-square test was used to compare MAGS prescribed between categories. Spearman's rank-order correlation was used to test the correlation between the presence of MAGS and the number of discharge medications. A binomial logistic regression was applied to determine the predictors of prescribing MAGSs.

    Results: A total of 400 patients (mean ± standard deviation [SD] age, 72.0 ± 5.0 years) were included, and 45.3% of them were females. The most common diseases were hypertension followed by diabetes mellitus. The mean ± SD number of discharge medications per patient was 4.2 ± 2.5. The MAGSs were prescribed in 51.7% of the patients, and 54 patients were discharged with more than one MAGSs. The most commonly prescribed MAGSs were opioid analgesics, vasodilators, and β-blockers, which are associated with falls, depression, and delirium. Polypharmacy was found in 138 patients, and it was significantly associated with the presence of MAGSs (P < 0.001). No significant differences were found in prescribing MAGSs based on the patients' gender, race, and age.

    Conclusion: The prescribing of MAGSs occurred in half of the discharged elderly patients. Physicians should be aware of the medications that are associated with special side effects in the elderly patients, and should switch to safer alternatives when possible.

    Matched MeSH terms: Logistic Models
  7. Jacob M, Sahu S, Singh YP, Mehta Y, Yang KY, Kuo SW, et al.
    Indian J Crit Care Med, 2020 Nov;24(11):1028-1036.
    PMID: 33384507 DOI: 10.5005/jp-journals-10071-23653
    Introduction: Fluid therapy in critically ill patients, especially timing and fluid choice, is controversial. Previous randomized trials produced conflicting results. This observational study evaluated the effect of colloid use on 90-day mortality and acute kidney injury (RIFLE F) within the Rational Fluid Therapy in Asia (RaFTA) registry in intensive care units.

    Materials and methods: RaFTA is a prospective, observational study in Asian intensive care unit (ICU) patients focusing on fluid therapy and related outcomes. Logistic regression was performed to identify risk factors for increased 90-day mortality and acute kidney injury (AKI).

    Results: Twenty-four study centers joined the RaFTA registry and collected 3,187 patient data sets from November 2011 to September 2012. A follow-up was done 90 days after ICU admission. For 90-day mortality, significant risk factors in the overall population were sepsis at admission (OR 2.185 [1.799; 2.654], p < 0.001), cumulative fluid balance (OR 1.032 [1.018; 1.047], p < 0.001), and the use of vasopressors (OR 3.409 [2.694; 4.312], p < 0.001). The use of colloids was associated with a reduced risk of 90-day mortality (OR 0.655 [0.478; 0.900], p = 0.009). The initial colloid dose was not associated with an increased risk for AKI (OR 1.094 [0.754; 1.588], p = 0.635).

    Conclusion: RaFTA adds the important finding that colloid use was not associated with increased 90-day mortality or AKI after adjustment for baseline patient condition.

    Clinical significance: Early resuscitation with colloids showed potential mortality benefit in the present analysis. Elucidating these findings may be an approach for future research.

    How to cite this article: Jacob M, Sahu S, Singh YP, Mehta Y, Yang K-Y, Kuo S-W, et al. A Prospective Observational Study of Rational Fluid Therapy in Asian Intensive Care Units: Another Puzzle Piece in Fluid Therapy. Indian J Crit Care Med 2020;24(11):1028-1036.

    Matched MeSH terms: Logistic Models
  8. Yong HY, Mohd Shariff Z, Mohd Yusof BN, Rejali Z, Bindels J, Tee YYS, et al.
    BMC Pregnancy Childbirth, 2020 Oct 07;20(1):597.
    PMID: 33028258 DOI: 10.1186/s12884-020-03299-8
    BACKGROUND: Although physical activity (PA) in pregnancy benefits most women, not much is known about pregnancy-related changes in PA and its association with gestational diabetes mellitus (GDM) risk. The aim of this study was to identify the trajectory of PA during pregnancy and possible associations with the risk of GDM.

    METHODS: This was a prospective cohort study of 452 pregnant women recruited from 3 health clinics in a southern state of Peninsular Malaysia. PA levels at the first, second, and third trimester were assessed using the Pregnancy Physical Activity Questionnaire. GDM was diagnosed at 24-28 weeks of gestation following the Ministry of Health Malaysia criteria. Group-based trajectory modeling was used to identify PA trajectories. Three multivariate logistic models were used to estimate the odds of trajectory group membership and GDM.

    RESULTS: Two distinct PA trajectories were identified: low PA levels in all intensity of PA and sedentary behavior (Group 1: 61.1%, n = 276) and high PA levels in all intensity of PA as well as sedentary behavior (Group 2: 38.9%, n = 176). Moderate and high intensity PA decreased over the course of pregnancy in both groups. Women in group 2 had significantly higher risk of GDM in two of the estimated logistic models. In all models, significant associations between PA trajectories and GDM were only observed among women with excessive gestational weight gain in the second trimester.

    CONCLUSIONS: Women with high sedentary behavior were significantly at higher risk of GDM despite high PA levels by intensity and this association was significant only among women with excessive GWG in the second trimester. Participation in high sedentary behavior may outweigh the benefit of engaging in high PA to mitigate the risk of GDM.

    Matched MeSH terms: Logistic Models
  9. Chen CH, Shin SD, Sun JT, Jamaluddin SF, Tanaka H, Song KJ, et al.
    PLoS Med, 2020 10;17(10):e1003360.
    PMID: 33022018 DOI: 10.1371/journal.pmed.1003360
    BACKGROUND: Whether rapid transportation can benefit patients with trauma remains controversial. We determined the association between prehospital time and outcome to explore the concept of the "golden hour" for injured patients.

    METHODS AND FINDINGS: We conducted a retrospective cohort study of trauma patients transported from the scene to hospitals by emergency medical service (EMS) from January 1, 2016, to November 30, 2018, using data from the Pan-Asia Trauma Outcomes Study (PATOS) database. Prehospital time intervals were categorized into response time (RT), scene to hospital time (SH), and total prehospital time (TPT). The outcomes were 30-day mortality and functional status at hospital discharge. Multivariable logistic regression was used to investigate the association of prehospital time and outcomes to adjust for factors including age, sex, mechanism and type of injury, Injury Severity Score (ISS), Revised Trauma Score (RTS), and prehospital interventions. Overall, 24,365 patients from 4 countries (645 patients from Japan, 16,476 patients from Korea, 5,358 patients from Malaysia, and 1,886 patients from Taiwan) were included in the analysis. Among included patients, the median age was 45 years (lower quartile [Q1]-upper quartile [Q3]: 25-62), and 15,498 (63.6%) patients were male. Median (Q1-Q3) RT, SH, and TPT were 20 (Q1-Q3: 12-39), 21 (Q1-Q3: 16-29), and 47 (Q1-Q3: 32-60) minutes, respectively. In all, 280 patients (1.1%) died within 30 days after injury. Prehospital time intervals were not associated with 30-day mortality. The adjusted odds ratios (aORs) per 10 minutes of RT, SH, and TPT were 0.99 (95% CI 0.92-1.06, p = 0.740), 1.08 (95% CI 1.00-1.17, p = 0.065), and 1.03 (95% CI 0.98-1.09, p = 0.236), respectively. However, long prehospital time was detrimental to functional survival. The aORs of RT, SH, and TPT per 10-minute delay were 1.06 (95% CI 1.04-1.08, p < 0.001), 1.05 (95% CI 1.01-1.08, p = 0.007), and 1.06 (95% CI 1.04-1.08, p < 0.001), respectively. The key limitation of our study is the missing data inherent to the retrospective design. Another major limitation is the aggregate nature of the data from different countries and unaccounted confounders such as in-hospital management.

    CONCLUSIONS: Longer prehospital time was not associated with an increased risk of 30-day mortality, but it may be associated with increased risk of poor functional outcomes in injured patients. This finding supports the concept of the "golden hour" for trauma patients during prehospital care in the countries studied.

    Matched MeSH terms: Logistic Models
  10. Mah HY, Ishak WS, Abd Rahman MH
    Geriatr Gerontol Int, 2020 Oct;20(10):911-916.
    PMID: 32820857 DOI: 10.1111/ggi.14011
    The present study aimed to examine the prevalence of dual sensory impairment, and to identify its risk factors among community-dwelling older adults in Selangor.

    METHODS: Secondary analysis was carried out on data collected by the Grand Challenge Project among older adults aged ≥65 years from Selangor. Data on sociodemographic information, medical history, cognitive function and functional performance were obtained through face-to-face interviews using standardized questionnaires. Visual acuity was measured using the Early Treatment Diabetic Retinopathy Study (ETDRS) chart while hearing was assessed using pure-tone audiometry. Descriptive analysis was used to measure the prevalence of the impairments, and logistic regression analysis was used to identify the risk factors.

    RESULTS: The prevalence of dual sensory impairment and hearing impairment were at 10.5% and 76.2% respectively. Multivariate logistic regression analysis revealed that participants with lower cognitive scores were associated with dual sensory impairment (odds ratio, 0.90; 95% confidence interval, 0.83-0.98), while smoking was found associated with hearing impairment (odds ratio, 6.58; 95% confidence interval, 1.51-28.65).

    CONCLUSION: Dual sensory impairment is common among older adults in Selangor. The association between dual sensory impairment and cognitive function suggests the need to have visual and hearing screening on older adults for early detection particularly those at risk of cognitive impairment. The prevalence of hearing impairment was reported high among older adults and smokers appeared to be at higher risk of the impairment. Geriatr Gerontol Int 2020; 20: 911-916.

    Matched MeSH terms: Logistic Models
  11. Tay AK, Mohsin M, Hau KM, Badrudduza M, Balasundaram S, Morgan K, et al.
    Psychol Med, 2020 Sep 11.
    PMID: 32914737 DOI: 10.1017/S0033291720003104
    BACKGROUND: Large variations in prevalence rates of common mental disorder (CMD) amongst refugees and forcibly displaced populations have raised questions about the accuracy and value of epidemiological surveys in these cross-cultural settings. We examined the associations of sociodemographic indices, premigration traumatic events (TEs), postmigration living difficulties (PMLDs), and psychosocial disruptions based on the Adaptive Stress Index (ASI) in relation to CMD prevalence amongst the Rohingya, Chin and Kachin refugees originating from Myanmar and relocated to Malaysia.

    METHODS: Parallel epidemiological studies were conducted in areas where the three groups were concentrated in and around Malaysia (response rates: 80-83%).

    RESULTS: TE exposure, PMLDs and ASI were significantly associated with CMD prevalence in each group but the Rohingya recorded the highest exposure to all three of these former indices relative to Chin and Kachin (TE: mean = 11.1 v. 8.2 v. 11; PMLD: mean = 13.5 v. 7.4 v. 8.7; ASI: mean = 128.9 v. 32.1 v. 35.5). Multiple logistic regression analyses based on the pooled sample (n = 2058) controlling for gender and age, found that ethnic group membership, premigration TEs (16 or more TEs: OR, 2.00; 95% CI, 1.39-2.88; p < 0.001), PMLDs (10-15 PMLDs: OR, 4.19; 95% CI, 3.17-5.54; 16 or more PMLDs: OR, 7.23; 95% CI, 5.24-9.98; p < 0.001) and ASI score (ASI score 100 or greater: OR, 2.19; 95% CI, 1.46-3.30; p < 0.001) contributed to CMD.

    CONCLUSIONS: Factors specific to each ethnic group and differences in the quantum of exposure to TEs, PMLDs and psychosocial disruptions appeared to account in large part for differences in prevalence rates of CMDs observed across these three groups.

    Matched MeSH terms: Logistic Models
  12. Charles Shapu R, Ismail S, Ahmad N, Lim PY, Abubakar Njodi I
    Foods, 2020 Sep 10;9(9).
    PMID: 32927593 DOI: 10.3390/foods9091265
    Inadequate food security contributes to poor health outcome for all, including adolescent girls. The study aims at determining the level of food security and hygiene among adolescent girls. A school-based cross-sectional study was carried out among adolescent girls aged 10 to 19 years old from six schools in Maiduguri Metropolitan Council, Borno State. The instrument for data collection was a questionnaire using KoBoCollect Toolbox between June and July 2019. Multivariable logistic regression was used to identify the predictors of food security and hygiene among respondents. A majority of the respondents (73.5%) were in a very low food security level. Three factors were significantly associated with food security level, these included schools (p = 0.007), age of mother (p = 0.004), and occupation of mother (p < 0.001). School (p = 0.003), age (father p = 0.017; mother; p = 0.012), hygiene (p = 0.005), and occupation of mother (p = 0.002) were predictors of food security. About (46.6%) of respondents had poor hygiene practice, school (p = 0.016) was significantly associated with hygiene practice. School (p = 0.019; and p = 0.005) and food security (p = 0.009) were predictors of hygiene practice. This study reveals a high prevalence of low food security among adolescent girls.
    Matched MeSH terms: Logistic Models
  13. Lee KW, Ching SM, Devaraj NK, Hoo FK
    Ann Transl Med, 2020 Sep;8(17):1060.
    PMID: 33145279 DOI: 10.21037/atm-20-1579
    Background: Certain candidate genes have been associated with obesity. The goal of this study is to determine the association between thirteen neuroendocrine disorder-related candidate genes and pre-pregnancy obesity among gestational diabetes mellitus (GDM) patients using the stratification approach defined the Asian and International criteria-based body mass index (BMI).

    Methods: This was a post-hoc case-control exploratory sub-analysis of a cross-sectional study among GDM women to determine which candidate single nucleotide polymorphisms (SNPs) related to neuroendocrine disorders may be associated with obesity. Factors were adjusted for socio-demographic characteristics and concurrent medical problems in this particular population. Pre-pregnancy BMI and concurrent medical profiles were obtained from maternal health records. Obesity is defined as BMI of ≥27.5 kg/m2 for Asian criteria-based BMI and >30 kg/m2 for International criteria-based BMI. Thirteen candidate genes were genotyped using Agena® MassARRAY and examined for association with pre-pregnancy obesity using multiple logistic regression analysis. The significant difference threshold was set at P value <0.05.

    Results: Three hundred and twelve GDM women were included in this study; 60.9% and 44.2% of GDM patients were obese using Asian and International criteria-based BMI, respectively. GDM patients with AA or AG genotypes in specific SNP of brain-derived neurotrophic factor (BDNF) (G > A in rs6265) are more likely to be obese (adjusted odd ratio =2.209, 95% CI, 1.305, 3.739, P=0.003) compared to those who carry the GG genotype in the SNP adjusted for parity, underlying with asthma, heart disease, anaemia, education background in the International criteria-based BMI stratification group. On the other hand, there were no associations between other candidate genes (NRG1, FKBP5, RORA, OXTR, PLEKHG1, HTR2C, LHPP, SDK2, TEX51, EPHX2, NPY5R and ANO2) and maternal obesity.

    Conclusions: In summary, BDNF rs6265 is significantly associated with pre-pregnancy obesity among GDM patients. The exact role of BDNF adjusted for diet intake and lifestyle factors merits further investigation.

    Matched MeSH terms: Logistic Models
  14. Naqvi AA, Mahmoud MA, AlShayban DM, Alharbi FA, Alolayan SO, Althagfan S, et al.
    Saudi Pharm J, 2020 Sep;28(9):1055-1061.
    PMID: 32922135 DOI: 10.1016/j.jsps.2020.07.005
    Purpose: The study aimed to translate and validate the Arabic version of General Medication Adherence Scale (GMAS) in Saudi patients with chronic diseases.

    Methods: A multi-center cross sectional study was conducted for a month in out-patient wards of hospitals in Khobar, Dammam, Makkah, and Madinah, Saudi Arabia. Patients were randomly selected from a registered patient pools at hospitals and the item-subject ratio was kept at 1:20. The tool was assessed for factorial, construct, convergent, known group and predictive validities as well as, reliability and internal consistency of scale were also evaluated. Sensitivity, specificity, and accuracy were also evaluated. Data were analyzed using SPSS v24 and MedCalc v19.2. The study was approved by concerned ethics committees (IRB-129-25/6/1439) and (IRB-2019-05-002).

    Results: A total of 282 responses were received. The values for normed fit index (NFI), comparative fit index (CFI), Tucker Lewis index (TLI) and incremental fit index (IFI) were 0.960, 0.979, 0.954 and 0.980. All values were >0.95. The value for root mean square error of approximation (RMSEA) was 0.059, i.e., <0.06. Hence, factorial validity was established. The average factor loading of the scale was 0.725, i.e., >0.7, that established convergent validity. Known group validity was established by obtaining significant p-value <0.05, for the associations based on hypotheses. Cronbach's α was 0.865, i.e., >0.7. Predictive validity was established by evaluating odds ratios (OR) of demographic factors with adherence score using logistic regression. Sensitivity was 78.16%, specificity was 76.85% and, accuracy of the tool was 77.66%, i.e., >70%.

    Conclusion: The Arabic version of GMAS achieved all required statistical parameters and was validated in Saudi patients with chronic diseases.

    Matched MeSH terms: Logistic Models
  15. Shaharir SS, Maulana SA, Shahril NS, Mohd R, Mustafar R, Said MSM, et al.
    Lupus, 2020 Sep;29(10):1305-1313.
    PMID: 32660312 DOI: 10.1177/0961203320938871
    BACKGROUND: Despite the improvement in the live birth rate among patients with systemic lupus erythematosus (SLE), they are still at an increased risk of adverse pregnancy outcomes (APOs).

    OBJECTIVE: To determine the prevalence and factors associated with APOs in the multi-ethnic SLE populations in Malaysia.Methodology: This was a retrospective review of the consecutive SLE patients who attended the outpatient clinic in two major rheumatology centres from January 2016 until December 2019 with complete pre-pregnancy, antenatal and intra-partum records. APOs include pregnancy loss, prematurity, pre-eclampsia, intra-uterine growth restriction (IUGR) and maternal death. Univariate and multivariable logistic regression with generalised estimating equation (GEE) analyses were performed to determine the factors associated with APOs.

    RESULTS: A total of 153 patients with 240 pregnancies were included and the majority of the patients were Malay (69.9%), followed by Chinese (24.2%) and Indian (5.9%). The prevalence of APOs was 61.7% with the commonest complication being prematurity (28.3%), followed by pregnancy loss (24.6%) and pre-eclampsia (21.8%). Logistic regression model-based GEE analysis revealed that the independent predictors of APOs were active haematological system during pregnancy, pre-pregnancy active disease, Indian patients and positive lupus anticoagulant. Hydroxychloroquine use was associated with lower APOs including pre-eclampsia, prematurity and IUGR in the univariate analyses but it was no longer significant in the GEE analysis.

    CONCLUSION: The prevalence of APOs was high particularly among the Indian patients. Positive lupus anticoagulant and pre-pregnancy active disease were the factors strongly associated with APOs in our multi-ethnic cohort. Hydroxychloroquine may protect against APOs but further larger studies are needed to confirm this.

    Matched MeSH terms: Logistic Models
  16. Rattanapitoon SK, Pechdee P, Boonsuya A, Meererksom T, Wakkhuwatapong P, Leng M, et al.
    Trop Biomed, 2020 Sep 01;37(3):730-743.
    PMID: 33612786 DOI: 10.47665/tb.37.3.730
    Helminth infections (HIs) are an important public health problem in tropical countries, and the associated problems have been neglected in rural areas of Thailand. Therefore, this study reports the prevalence and intensity of HIs among inhabitants of the Khon Sawan district, Chaiyaphum province, and Kaeng Samnam Nang district, Nakhon Ratchasima province, which are located near the Chi River and Lahanna water reservoir, northeastern Thailand. A cross-sectional descriptive study was conducted between July 31, 2018, and June 30, 2019, among rural villagers from 40 rural villages in 4 subdistricts. The participants were selected from the village enrolment list after proportional allocation of the total sample size. Faecal samples from 691 inhabitants were prepared using solvent-free faecal parasite concentrator, and helminths were then detected using a light microscope. Statistical analysis included the Chi-square test with Yates correction, and multivariable logistic regression was performed. A P-value of <0.05 was considered statistically significant. The prevalence of HIs was 2.03%. The most prevalent helminths were Opisthorchis viverrini (1.31%), followed by Strongyloides stercoralis (0.44%), Ascaris lumbricoides (0.29%), hookworm (0.15%), Teania spp. (0.15%) and one minute intestinal fluke (0.15%). Coinfections were identified in 2 cases for S. stercoralis and hookworm and 1 case for O. viverrini and S. stercoralis infection. All infected participants had a light intensity of HI. There was no significant difference between general characteristics for all HIs. The prevalence of HIs was not significantly associated with general characteristics. This study indicates that the infections result mainly from foodborne helminths and skin-penetrating nematodes. Therefore, interventions should concentrate on the personal hygiene of the population and improving sanitation to reduce HIs in this area.
    Matched MeSH terms: Logistic Models
  17. Shchelkanov MY, Tabakaeva Moskvina TV, Kim EM, Derunov DA, Galkina IV
    Trop Biomed, 2020 Sep 01;37(3):778-782.
    PMID: 33612790 DOI: 10.47665/tb.37.3.778
    Canine demodicosis is a common skin disorder with multiple risk factors, including age and breed predisposition. There is relatively limited information about the risk factors for canine demodicosis in large canine populations. This retrospective case-control study was conducted by searching the electronic records of dogs with skin lesions for the presence of Demodex mites in skin scrapings. Diagnosis of demodicosis was based on the presence of skin lesions and mites in skin scrapings. Multivariate analysis was conducted using logistic regression analysis to estimate the relative risk and odds ratio of variables hypothesized to influence the risk of canine demodicosis, such as age, sex, breed, season, and parasitic infection. The results of multivariate logistic regression analysis showed a positive correlation between the dogs' age and demodicosis. Dogs older than three years, as well as puppies, had a high risk of demodicosis (P0.05). Breeds with the greatest association (odds ratio) with demodicosis included the American Staffordshire Terrier (OR=0.9) and Moscow Watchdog (OR=0.2). The presence of intestinal parasites, such as Diphyllobothrium latum, was significantly associated with demodicosis.
    Matched MeSH terms: Logistic Models
  18. Ali S, Amjad Z, Khan TM, Maalik A, Iftikhar A, Khan I, et al.
    Parasitology, 2020 Sep;147(10):1133-1139.
    PMID: 32517832 DOI: 10.1017/S0031182020000967
    Toxoplasmosis is a parasitic zoonotic disease caused by Toxoplasma (T.) gondii. Limited data are available on the occurrence of T. gondii in women especially pregnant women in Pakistan. The present study aimed to determine the occurrence and risk factors associated with T. gondii in pregnant and non-pregnant women in Punjab Province, Pakistan. A cross-sectional study was conducted and 593 samples were collected from pregnant (n = 293) and non-pregnant (n = 300) women of District Headquarter Hospitals of Chiniot, Faisalabad, Jhang and Okara, Pakistan. Data related to demographic parameters and risk factors were collected using a pretested questionnaire on blood sampling day. Serum samples were screened for antibodies (IgG) against T. gondii using ELISA. A univariant and binomial logistic regression was applied to estimate the association between seropositive and explanatory variables considering the 95% confidence interval. P value ⩽0.05 was considered statistically significant for all analysis. Out of 593, 44 (7.42%) women were seropositive for T. gondii IgG antibodies. Occupation, age, sampling location, socioeconomic status, contact with cat, pregnancy status and trimester of pregnancy were significantly associated with seropositivity for T. gondii antibodies. Location and trimester of pregnancy were identified as potential risk factors for T. gondii seropositivity based on binomial logistic regression. Toxoplasma gondii is prevalent in pregnant and non-pregnant women. Therefore, now a necessitated awareness is required to instruct the individuals about these infectious diseases (toxoplasmosis) and their control strategies to maintain the health of human population. Moreover, health awareness among public can help the minimization of T. gondii infection during pregnancy and subsequent risk of congenital toxoplasmosis.
    Matched MeSH terms: Logistic Models
  19. Juhan N, Zubairi YZ, Khalid ZM, Mahmood Zuhdi AS
    Iran J Public Health, 2020 Sep;49(9):1642-1649.
    PMID: 33643938 DOI: 10.18502/ijph.v49i9.4080
    Background: Identifying risk factors associated with mortality is important in providing better prognosis to patients. Consistent with that, Bayesian approach offers a great advantage where it rests on the assumption that all model parameters are random quantities and hence can incorporate prior knowledge. Therefore, we aimed to develop a reliable model to identify risk factors associated with mortality among ST-Elevation Myocardial Infarction (STEMI) male patients using Bayesian approach.

    Methods: A total of 7180 STEMI male patients from the National Cardiovascular Disease Database-Acute Coronary Syndrome (NCVD-ACS) registry for the years 2006-2013 were enrolled. In the development of univariate and multivariate logistic regression model for the STEMI patients, Bayesian Markov Chain Monte Carlo (MCMC) simulation approach was applied. The performance of the model was assessed through convergence diagnostics, overall model fit, model calibration and discrimination.

    Results: A set of six risk factors for cardiovascular death among STEMI male patients were identified from the Bayesian multivariate logistic model namely age, diabetes mellitus, family history of CVD, Killip class, chronic lung disease and renal disease respectively. Overall model fit, model calibration and discrimination were considered good for the proposed model.

    Conclusion: Bayesian risk prediction model for CVD male patients identified six risk factors associated with mortality. Among the highest risks were Killip class (OR=18.0), renal disease (2.46) and age group (OR=2.43) respectively.

    Matched MeSH terms: Logistic Models
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