scholarly journals Development of Osteoporosis Screening Algorithm for Population Aged 50 Years and above in Klang Valley, Malaysia

2020 ◽  
Vol 17 (7) ◽  
pp. 2526 ◽  
Author(s):  
Shaanthana Subramaniam ◽  
Chin-Yi Chan ◽  
Ima-Nirwana Soelaiman ◽  
Norazlina Mohamed ◽  
Norliza Muhammad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Weight ◽  
Low Income ◽  
Operating Characteristics ◽  
Osteoporosis Screening ◽  
Malaysian Population ◽  
Reduced Body ◽  
Income Status ◽  
Screening Algorithm ◽  
Klang Valley

Background: The current osteoporosis screening instruments are not optimized to be used among the Malaysian population. This study aimed to develop an osteoporosis screening algorithm based on risk factors for Malaysians. Methods: Malaysians aged ≥50 years (n = 607) from Klang Valley, Malaysia were interviewed and their bone health status was assessed using a dual-energy X-ray absorptiometry device. The algorithm was constructed based on osteoporosis risk factors using multivariate logistic regression and its performance was assessed using receiver operating characteristics analysis. Results: Increased age, reduced body weight and being less physically active significantly predicted osteoporosis in men, while in women, increased age, lower body weight and low-income status significantly predicted osteoporosis. These factors were included in the final algorithm and the optimal cut-offs to identify subjects with osteoporosis was 0.00120 for men [sensitivity 73.3% (95% confidence interval (CI) = 54.1%–87.7%), specificity 67.8% (95% CI = 62.7%–85.5%), area under curve (AUC) 0.705 (95% CI = 0.608–0.803), p < 0.001] and 0.161 for women [sensitivity 75.4% (95% CI = 61.9%–73.3%), specificity 74.5% (95% CI = 68.5%–79.8%), AUC 0.749 (95% CI = 0.679–0.820), p < 0.001]. Conclusion: The new algorithm performed satisfactorily in identifying the risk of osteoporosis among the Malaysian population ≥50 years. Further validation studies are required before applying this algorithm for screening of osteoporosis in public.

scholarly journals Prevalence and Predictors of Osteoporosis Among the Chinese Population in Klang Valley, Malaysia

2019 ◽  
Vol 9 (9) ◽  
pp. 1820 ◽  
Author(s):  
Shaanthana Subramaniam ◽  
Chin-Yi Chan ◽  
Ima-Nirwana Soelaiman ◽  
Norazlina Mohamed ◽  
Norliza Muhammad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Weight ◽  
Lean Mass ◽  
Socioeconomic Background ◽  
Monthly Income ◽  
Mineral Density ◽  
Low Socioeconomic ◽  
Klang Valley ◽  
Malaysian Chinese ◽  
Prevalence Of Osteoporosis

The prevalence of osteoporosis is forecasted to escalate in Malaysia with an increasing elderly population. This study aimed to analyze the prevalence and the risk factors of osteoporosis among middle-aged and elderly Chinese Malaysians. Three hundred sixty seven Malaysian Chinese aged ≥40 years in Klang Valley, Malaysia, were recruited. All subjects completed a structured questionnaire comprised of demographic details, medical history, diet, and lifestyle practices. Body anthropometry and bone mineral density measurements were also performed. The relationship between bone health status and risk factors was determined using multivariate logistic regression. Fifteen-point-three percent of the overall study population and 32.6% of those aged ≥71 years had osteoporosis. The prevalence of osteoporosis among women (18.9%) was higher than men (11.5%). The significant predictors of osteoporosis were age, body weight, and low monthly income. Lean mass, low education level, and being underweight predicted osteoporosis in women. Lean mass was the only significant predictor of osteoporosis in men. Overall, 15.3% of the Malaysian Chinese aged ≥40 years from Klang Valley, Malaysia, had osteoporosis. Osteoporosis was associated positively with increased age and low monthly income and negatively with body weight. Therefore, osteoporosis preventive strategies targeting Chinese elderly from a low socioeconomic background is necessary.

scholarly journals Determinants of inequalities in years with disability: an international-comparative study

2020 ◽  
Author(s):  
Wilma J Nusselder ◽  
José Rubio Valverde ◽  
Matthias Bopp ◽  
Henrik Brønnum-Hansen ◽  
Patrick Deboosere ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Weight ◽  
Risk Factor ◽  
Low Income ◽  
Vegetable Consumption ◽  
High Body Weight ◽  
High Body ◽  
International Comparative ◽  
Low Educated ◽  
Manual Occupation

Abstract Background Persons with a lower socioeconomic position spend more years with disability, despite their shorter life expectancy, but it is unknown what the important determinants are. This study aimed to quantify the contribution to educational inequalities in years with disability of eight risk factors: father’s manual occupation, low income, few social contacts, smoking, high alcohol consumption, high body-weight, low physical exercise and low fruit and vegetable consumption. Methods We collected register-based mortality and survey-based disability and risk factor data from 15 European countries covering the period 2010–14 for most countries. We calculated years with disability between the ages of 35 and 80 by education and gender using the Sullivan method, and determined the hypothetical effect of changing the prevalence of each risk factor to the prevalence observed among high educated (‘upward levelling scenario’), using Population Attributable Fractions. Results Years with disability among low educated were higher than among high educated, with a difference of 4.9 years among men and 5.5 years among women for all countries combined. Most risk factors were more prevalent among low educated. We found the largest contributions to inequalities in years with disability for low income (men: 1.0 year; women: 1.4 year), high body-weight (men: 0.6 year; women: 1.2 year) and father’s manual occupation (men: 0.7 year; women: 0.9 year), but contributions differed by country. The contribution of smoking was relatively small. Conclusions Disadvantages in material circumstances (low income), circumstances during childhood (father’s manual occupation) and high body-weight contribute to inequalities in years with disability.

scholarly journals Clinical profile and risk factors of enuresis in children

2020 ◽  
Vol 7 (3) ◽  
pp. 546
Author(s):  
Karamath S. Pyarejan ◽  
Ravisankar Muthiah
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Low Income ◽  
Nocturnal Enuresis ◽  
Sleep Disordered Breathing ◽  
Bladder Capacity ◽  
Income Status ◽  
Significant Difference ◽  
Study Population ◽  
Monosymptomatic Nocturnal Enuresis

Background: Enuresis is a common problem in children and its incidence is multifactorial in nature. The aim of this study is to assess the etiological risk-factors in enuresis in the study population and also to compare the risk factors in enuresis subgroups.Methods: A total of 51 patients with enuresis presenting to the department of paediatrics, Institute of Social Paediatrics, Govt. Stanley Hospital, Chennai were included in the study. All children were sub classified as primary/secondary and the primary enuretics were sub classified into monosymptomatic/non monosymptomatic depending on the symptoms. The data was analyzed and the results presented.Results: Enuresis was common in boys. Statistically significant difference in the incidence of disorder between primary and secondary enuretic children was seen in relation to presence of storage symptoms (p=0.04), cystitis (p=0.013) sleep disordered breathing (p=0.0001) and low-income status (p=0.04). No statistically significant difference between into monosymptomatic nocturnal enuresis (MNE) and non-monosymptomatic nocturnal enuresis (NMNE) children was observed in terms of gender, difficulty in arousal, specific gravity, spina bifida, low bladder capacity and family history (p>0.05).Conclusions: The findings of the study reported that risk factors related to the incidence is similar in both primary and secondary enuresis. MNE and NMNE have no differences in the presentation and probably represent the spectrum of a same disorder.

A Cross-sectional Study of the Clinical Profile of Children With Cerebral Palsy in Benin, a West African Low-Income Country

2019 ◽  
Vol 34 (13) ◽  
pp. 842-850
Author(s):  
Emmanuel Segnon Sogbossi ◽  
Damienne Houekpetodji ◽  
Toussaint G. Kpadonou ◽  
Yannick Bleyenheuft
Keyword(s):  
Risk Factors ◽  
Cerebral Palsy ◽  
Low Income ◽  
Classification System ◽  
West African ◽  
Low Income Countries ◽  
Cross Sectional ◽  
Common Cause ◽  
Low Income Country ◽  
Children With Cerebral Palsy

Cerebral palsy is a common cause of pediatric motor disability. Although there are increasing amounts of data on the clinical profile of children with cerebral palsy in high-income countries, corresponding information about low-income countries and developing countries is lacking. Therefore, we aimed to describe the clinical spectrum of cerebral palsy in children in Benin, a representative West African low-income country. Our cross-sectional observational study included 114 children with cerebral palsy recruited from community-based rehabilitation centers and teaching hospitals (median age: 7 years, range 2-17; sex: 66% male). Data were collected through review of medical records and interviews with children’s mothers. Assessment included risk factors, clinical subtypes according to the Surveillance of CP in Europe criteria, severity of motor outcome scored by the Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System, comorbidities, and school attendance. We recorded a high prevalence of intrapartum adverse events. Seventeen percent of children had postneonatal cerebral palsy, with cerebral malaria being the most common cause. Most children were severely affected (67.5% as bilateral spastic; 54.4% as GMFCS IV or V), but severity declined substantially with age. Only 23% of the children with cerebral palsy had attended school. Poor motor outcomes and comorbidities were associated with school nonattendance. These results suggest that intrapartum risk factors and postnatal cerebral malaria in infants are opportune targets for prevention of cerebral palsy in Sub-Saharan low-income countries.

scholarly journals Nomogram based on homogeneous and heterogeneous associated factors for predicting distant metastases in patients with colorectal cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Tianwen Luo ◽  
Yutong Wang ◽  
Xuefeng Shan ◽  
Ye Bai ◽  
Chun Huang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Lung Metastases ◽  
Roc Curves ◽  
Distant Metastases ◽  
Good Prediction ◽  
Operating Characteristics ◽  
Good Prediction Performance ◽  
Different Types ◽  
Associated Risk Factors

Abstract Background The identification of the homogeneous and heterogeneous risk factors for different types of metastases in colorectal cancer (CRC) may shed light on the aetiology and help individualize prophylactic treatment. The present study characterized the incidence differences and identified the homogeneous and heterogeneous risk factors associated with distant metastases in CRC. Methods CRC patients registered in the SEER database between 2010 and 2016 were included in this study. Logistic regression was used to analyse homogeneous and heterogeneous risk factors for the occurrence of different types of metastases. Nomograms were constructed to predict the risk for developing metastases, and the performance was quantitatively assessed using the receiver operating characteristics (ROC) curve and calibration curve. Results A total of 204,595 eligible CRC patients were included in our study, and 17.07% of them had distant metastases. The overall incidences of liver metastases, lung metastases, bone metastases, and brain metastases were 15.34%, 5.22%, 1.26%, and 0.29%, respectively. The incidence of distant metastases differed by age, gender, and the original CRC sites. Poorly differentiated grade, more lymphatic metastasis, higher carcinoembryonic antigen (CEA), and different metastatic organs were all positively associated with four patterns of metastases. In contrast, age, sex, race, insurance status, position, and T stage were heterogeneously associated with metastases. The calibration and ROC curves exhibited good performance for predicting distant metastases. Conclusions The incidence of distant metastases in CRC exhibited distinct differences, and the patients had homogeneous and heterogeneous associated risk factors. Although limited risk factors were included in the present study, the established nomogram showed good prediction performance.

scholarly journals Risk factors for suicidal tendency in people with epilepsy in China: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mintao Lin ◽  
Jiani Chen ◽  
Sisi Li ◽  
Yingjie Qin ◽  
Xuruan Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Low Income ◽  
Case Control Study ◽  
Univariate Analysis ◽  
Case Control ◽  
Conditional Inference ◽  
Suicidal Tendency ◽  
Patients With Epilepsy ◽  
Nested Case Control ◽  
Control Study

AbstractPeople with epilepsy (PWE) have an increased suicide prevalence. This study aimed to identify the risk factors for suicidal tendency among PWE in West China. A nested case–control study was designed in a cohort of patients with epilepsy (n = 2087). In total, 28 variates were calculated. In the univariate analysis, unemployment, low income, seizure frequency, seizure-free time, infectious or structural etiology, levetiracetam or phenobarbital use, anxiety, depression, and stigma were associated with suicidal tendency. A multivariate analysis indicated that unemployment (odds ratio [OR] 5.74, 95% confidence interval [CI] 2.13–15.48), levetiracetam use (OR 2.80, 95%CI 1.11–7.05), depression (C-NDDI-E score ≥ 13; OR 3.21, 95%CI 1.26–8.21), and stigma (SSCI score ≥ 16; OR 6.67, 95%CI 1.80–24.69) were independently associated with suicidal tendency. Conditional inference tree analysis indicated that SSCI and C-NDDI-E scores could effectively identify patients with suicidal tendency. Thus, this study suggests that unemployment, levetiracetam use, depression, and stigma are independent risk factors for suicidal tendency in PWE in China.

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