scholarly journals Prevalence and Associated Factors of Self-Treatment among the Elderly—A Comparative Study between Empty and Non-Empty Nesters in Shandong, China

2020 ◽  
Vol 17 (21) ◽  
pp. 7880
Author(s):  
Zhaorong Gao ◽  
Lingzhong Xu ◽  
Wenzhe Qin ◽  
Jiao Zhang ◽  
Jinling Zhou ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Logistic Regression ◽  
Associated Factors ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Study Data ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Targeted Interventions

(1) Objectives: With an aging society in China, self-treatment now plays an important role in health care among older adults, but it can be problematic. This study aims to explore and compare the self-treatment behavior among empty and non-empty nesters. (2) Methods: Using a multi-stage stratified random cluster sampling method, a total of 4366 elderly people aged 60 and above from Shandong Province, China, were enrolled in this study. Data were collected through a structured questionnaire. Binary logistic regression was used to analyze the associated factors of self-treatment. (3) Results: The prevalence of self-treatment in empty nesters was significantly lower than that in non-empty ones (74.0% vs. 83.3%). Binary logistic regression analysis showed that higher educational level and poorer self-rated economic status were negatively associated with self-treatment in empty nesters, while unemployed and urban and rural residents’ basic medical insurance were positively associated with self-treatment in non-empty ones. (4) Conclusions: The study indicated that empty nesters had lower likelihood of self-treatment than non-empty ones. Empty nesters with better socioeconomic status were more likely to use self-treatment; by contrast, non-empty nesters with relatively poorer socioeconomic status were more inclined to self-treatment. Targeted interventions should be developed to maximize the effectiveness of self-treatment and reduce health risks.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT

2020 ◽  
Vol 14 (2) ◽  
pp. 181-192
Author(s):  
Amelia Amelia ◽  
Fitra Mulyani ◽  
Ulya Nabilla
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
The Status ◽  
Rice Consumption ◽  
The Government

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

scholarly journals Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014

2019 ◽  
Vol 16 (16) ◽  
pp. 2847 ◽  
Author(s):  
Qilin Zhang ◽  
Yanli Wu ◽  
Tiankuo Han ◽  
Erpeng Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Binary Logistic Regression Analysis ◽  
Chinese Elderly

Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly.

scholarly journals Hand washing practice at critical times and its associated factors among mothers of under five children in Debark town, northwest Ethiopia, 2018

2019 ◽  
Vol 45 (1) ◽  
Author(s):  
Henok Dagne ◽  
Laekemariam Bogale ◽  
Muluneh Borcha ◽  
Anley Tesfaye ◽  
Baye Dagnew
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Binary Logistic Regression ◽  
Hand Washing ◽  
Binary Logistic Regression Analysis ◽  
Under Five ◽  
Under Five Children ◽  
Critical Times

Abstract Background The burden of communicable diseases within developing countries is mainly influenced by poor personal hygiene practices. Hand washing is considered as most cost effective intervention for reducing health problems such as diarrhoea and acute respiratory tract infections. This study aimed to assess hand washing practice at critical times and identify associated factors among mothers of under five children in Debark town. Method A community based cross-sectional study design was carried out from May 1–20, 2018 in Debark town. After selection of participants using simple random sampling, face to face interview was performed by using semi-structured pre-tested questionnaire. Data were entered into EPI Info 7 and exported into SPSS 21 for further analysis. Results were presented by simple frequency, percentage and mean for descriptive variables. Binary logistic regression analysis was used to test the association of dependent and independent factors. Variables with 95% confidence interval and p ≤ 0.2 during the univariable binary logistic regression analysis were included in the multivariate logistic regression analysis. At the final model variables with p ≤ 0.05 were treated as significantly associated factors of hand washing practice at critical times. Results Good hand washing practice at critical times was reported in 52.2% (95% CI: 47.5, 57.2%) of study participants. Desirable attitude [AOR = 3.37, 95% CI (2.03, 5.58)], presence of water for washing hands [AOR = 4.86, 95% CI (1.26, 18.69)] and a good knowledge [AOR = 2.98, 95% CI (1.92, 4.60)] were significantly associated factors with hand washing practice at critical times. Conclusion The hand washing practice at critical times of study participants was found to be low. A significant proportion of mothers of under five children have a poor hand washing practice at critical times. It is necessary to increase the access to water and to improve knowledge and attitude of mothers to improve their hand washing practice at critical times.

scholarly journals Factors Affecting Intention to Disclose HIV Status among Adult Population in Sarawak, Malaysia

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Aren Sinedeh Lemin ◽  
Md Mizanur Rahman ◽  
Cliffton Akoi Pangarah
Keyword(s):  
Logistic Regression ◽  
Adult Population ◽  
Binary Logistic Regression ◽  
Future Research ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Hiv Status ◽  
Factors Affecting ◽  
Significant Difference ◽  
Hiv Aids

Background. Disclosure of HIV-positive status is an essential prerequisite for the prevention and care of person living with HIV/AIDS as well as to tackle hidden epidemic in the society. Objective. To determine the intention to disclose the HIV/AIDS status among adult population in Sarawak, Malaysia, and factors affecting thereof. Methods. This cross-sectional community-based study was conducted among adult population aged 18 years and above in Sarawak, Malaysia. A gender-stratified multistage cluster sampling technique was adopted to select the participants. A total of 900 respondents were successfully interviewed by face-to-face interview using interview schedule. Stepwise binary logistic regression models were fitted in SPSS version 22.0 to identify the factors associated with the disclosure of HIV/AIDS status. A p value less than 0.05 was considered as statistically significant. Results. The mean (SD) age of male and female respondents was 41.57 (13.45) and 38.99 (13.09) years, respectively. A statistically significant difference of intention to disclosure of HIV status was found between males and females (p<0.05). A stepwise binary logistic regression analysis revealed that age, occupation, knowledge on HIV transmission, and content of discussion about HIV/AIDS appeared to be potential predictors for male respondents to disclose HIV status, while ethnicity and content of discussion on HIV/AIDS were found to be important predictors among the female respondents (p<0.05). Conclusion and Recommendation. Though the study did not depict the national prevalence of disclosure of HIV/AIDS status, the findings of the study would provide an important basic information for programme intervention, policy, and future research agenda.

PREVALENCE OF CHILD MARRIAGE AMONG BANGLADESHI WOMEN AND TREND OF CHANGE OVER TIME

2015 ◽  
Vol 48 (4) ◽  
pp. 530-538 ◽  
Author(s):  
Md. Golam Hossain ◽  
Rashidul Alam Mahumud ◽  
Aik Saw
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Rural Areas ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
Child Marriage ◽  
Binary Logistic Regression Analysis ◽  
Data Sets ◽  
First Marriage

SummaryMany Bangladeshi women marry early, and many marry before the legal age of 18 years. This practice has been associated with a higher risk of health and medical morbidities, and also early pregnancy with higher pre- and postnatal complications. The aim of this study was to determine the prevalence, and factors associated with, child marriage among Bangladeshi women using multiple binary logistic regression analysis of data from the BDHS-2011. Further analysis on the trend of age at first marriage was performed with additional data sets from previous surveys. The mean and median of ages at first marriage of Bangladeshi women in 2011 were 15.69±2.97 and 15.00 years, respectively. A remarkably high percentage (78.2%) married before the age of 18; of these, 5.5% married at a very early age (before 13 years of age). Binary logistic regression analysis demonstrated that uneducated women were more likely to be married early (p<0.001) than those with secondary and higher education. Child marriage was especially pronounced among women with uneducated husbands, Muslims, those with poor economic backgrounds and those living in rural areas. Further analysis including data from previous BDHS surveys showed that child marriage among Bangladeshi women had a decreasing trend from 1993–94 to 2011. These results show that child marriage was very common in Bangladesh, and closely associated with low level of education and low economic status. The decreasing trend in child marriage indicates an improvement over the past two decades but more effort is needed to further reduce and eventually eliminate the practice.

Relationship Between the Accumulation of Metabolic Syndrome Components and Orthostatic Hypotension

2021 ◽  
Vol 34 (7) ◽  
pp. 775-776
Author(s):  
Xiao-qi Cai ◽  
Xin-lei Gao ◽  
Ting-jun Wang ◽  
Yi-hua Shen ◽  
Guo-yan Xu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Orthostatic Hypotension ◽  
Logistic Regression Analysis ◽  
Middle Age ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Elderly Subjects ◽  
Binary Logistic Regression Analysis

Abstract Background To investigate the relationship between the accumulation of metabolic syndrome (MS) components and orthostatic hypotension (OH). Methods A total of 2,201 subjects were enrolled and divided into 0 component (n = 199), 1–2 components (n = 1,003), and 3–4 components (n = 999) groups based on the number of MS components according to the criteria of 2018 Chinese Guidelines for Prevention and Management of Hypertension. Stratified analyses and binary logistic regression analysis were performed. Results The incidence of OH was significantly increased with the number of MS components (5.0% in 0 component group, 13.5% in 1–2 components group, and 17.9% in 3–4 components group, P &lt; 0.05). Compared with subjects without OH, the incidence of MS in those with OH was significantly elevated (55.2% vs. 43.7%, P &lt; 0.05). The incidence of OH in the elderly subjects was significantly higher than that in the young and middle-aged subjects (22.3% vs. 10.9%, P &lt; 0.01). Binary logistic regression analysis showed that the number of MS components was associated with OH in all subjects, and the risk of OH was increased with the increment of MS components. Compared with the subjects without any MS component, the risk of OH increased by 2.3 times in the subjects with 4 MS components (odds ratio = 3.274, 95% confidence interval 1.626–6.594, P &lt; 0.05). Stratified analyses found that the number of MS components was independently associated with OH in young to middle-age, female and non-MS subjects. Conclusions The incidence of OH is elevated with accumulations of MS components, especially in young to middle-age, female and non-MS subjects.

scholarly journals Sleep quality and associated factors among adult patients with epilepsy attending follow-up care at referral hospitals in Amhara region, Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261386
Author(s):  
Sintayehu Simie Tsega ◽  
Birhaneselassie Gebeyehu Yazew ◽  
Kennean Mekonnen
Keyword(s):  
Social Support ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Sleep Quality ◽  
Associated Factors ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Epileptic Patients

Background Globally, epilepsy is the commonest neurological disorder in adults. It has significant health and economic consequences to the affected individuals and the family. There is ample evidence that epileptic patients are at increased risk of poor sleep quality than the general population. However, there is limited evidence on sleep quality among epileptic patients and associated factors in Ethiopia. Therefore, this study investigated the prevalence of poor sleep quality and associated factors among adult patients with epilepsy. Method Institutional based cross-sectional study was conducted among adult epileptic patients attending follow-up care at referral hospitals in the Amhara region. A total of 575 epileptic patients were recruited using a stratified systematic random sampling technique. An interviewer-administered semi-structured questionnaire and record review were used for data collection. To assess sleep quality the pretested Pittsburgh Sleep Quality Index (PSQI) tool was used. A binary logistic regression model was used to assess factors associated with poor sleep quality. Variables with a p-value less than 0.2 in the bivariable binary logistic regression analysis were considered for the multivariable binary logistic regression analysis. In the multivariable binary logistic regression analysis, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) were reported to declare the statistical significance and strength of association. Model fitness was assessed using the Hosmer-Lemeshow test and was adequate (p>0.05). Multicollinearity of the independent variables was assessed using the Variance Inflation Factor (VIF) and the mean VIF was less than 10. Results A total of 565 participants were enrolled in the study with a response rate of 98.3%. The prevalence of poor sleep quality among adult epileptic patients was 68.8% [95% CI: 64.8%, 72.5%]. In the multivariable binary logistic regression, being unable to read and write [AOR = 3.16, 95%CI: 1.53, 6.51], taking polytherapy treatment [AOR = 2.10, 95% CI: 1.37, 3.21], poor medication adherence [AOR = 2.53, 95%CI: 1.02, 6.23] and having poor support [AOR = 2.72, 95%CI: 1.53, 4.82] and moderate social support [AOR = 1.89, 95%CI: 1.05, 3.41] were significantly associated with higher odds of poor sleep quality. Conclusion and recommendation Poor sleep quality is a major public health concern in Ethiopia. The patient’s level of education, number of medication use, medication adherence, and social support were found significant predictors of poor sleep quality. These findings highlight improving medication adherence and social support are effective strategies to improve the sleep quality of epileptic patients. Besides, it is better to give special emphasis to those epileptic patients with a low level of education and taking polytherapy to enhance sleep quality.

scholarly journals Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248228
Author(s):  
Girma Gilano ◽  
Samuel Hailegebreal
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Individual Level ◽  
Access Problem ◽  
Younger Age ◽  
Youth Population ◽  
Policy Direction

Introduction Determinants of the magnitude of abortion among women of diverse social and economic status, particularly in Africa poorly understood because of the missing information in most countries. In this study, we addressed abortion and its determinants among youth women of 15–24 ages to provide clear direction for policymaking in Ethiopia. Methods We examined the 2016 Ethiopian demographic health survey data downloaded from the EDHS website after obtaining permission on abortion among 15–24 age women. We applied bivariate and multilevel binary logistic regression. Community and Individual level abortion predictors passed through a three-level binary logistic regression analysis where we used p-value <0.05 and adjusted odds ratios (AOR) with 95% confidence intervals (CI). Result The abortion among the youth population in this study was 2.5%. Factors associated with pregnancy were age group 20–24 2.5(1.6–3.8), youth with one birth 0.65(0.44–0.96), youth with 2–5 births 0.31(0.18–0.55), age ≥18 0.50(0.33–0.76), married 38(17–84), divorced 20(7–55), birth in the last five years 0.65(0.44–0.96), middle wealth youth 1.7(1.0.4–2.8), being in Amhara0.31(0.11–0.85), and 0.30(0.12–0.77). Conclusion Less abortion occurred in economically poor youths. It is a noble finding; however, the access problem might lead to the result. We observed more abortions in age <18years; those have not given birth until the data collection date. It portrays forth clear policy direction for politicians and all other stakeholders to intervene in the problem. The analysis also showed abortion increased with age. It shows that as age increased, youths disclose abortion which is rare at an early age, and again given an essential clue for the next interventions. The fact in this study is both age and marriage affected abortion similarly. It might be because of various culture-related perceptions where it is not appropriate for an unmarried woman to appear with any pregnancy outcome as the reason behind the decreased number of abortions at a younger age. Thus, more attention is required during implementation for unmarried and lower age youth regardless of the magnitude of the abortion.

scholarly journals Predicting Burn Mortality Using a Simple Novel Prediction Model

2021 ◽  
Author(s):  
Sneha Sharma ◽  
Raman Tandon
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Prediction Model ◽  
Receiver Operating Characteristic ◽  
Logistic Regression Analysis ◽  
Operating Characteristic ◽  
Binary Logistic Regression ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Binary Logistic Regression Analysis

Abstract Background Prediction of outcome for burn patients allows appropriate allocation of resources and prognostication. There is a paucity of simple to use burn-specific mortality prediction models which consider both endogenous and exogenous factors. Our objective was to create such a model. Methods A prospective observational study was performed on consecutive eligible consenting burns patients. Demographic data, total burn surface area (TBSA), results of complete blood count, kidney function test, and arterial blood gas analysis were collected. The quantitative variables were compared using the unpaired student t-test/nonparametric Mann Whitney U-test. Qualitative variables were compared using the ⊠2-test/Fischer exact test. Binary logistic regression analysis was done and a logit score was derived and simplified. The discrimination of these models was tested using the receiver operating characteristic curve; calibration was checked using the Hosmer—Lemeshow goodness of fit statistic, and the probability of death calculated. Validation was done using the bootstrapping technique in 5,000 samples. A p-value of <0.05 was considered significant. Results On univariate analysis TBSA (p <0.001) and Acute Physiology and Chronic Health Evaluation II (APACHE II) score (p = 0.004) were found to be independent predictors of mortality. TBSA (odds ratio [OR] 1.094, 95% confidence interval [CI] 1.037–1.155, p = 0.001) and APACHE II (OR 1.166, 95% CI 1.034–1.313, p = 0.012) retained significance on binary logistic regression analysis. The prediction model devised performed well (area under the receiver operating characteristic 0.778, 95% CI 0.681–0.875). Conclusion The prediction of mortality can be done accurately at the bedside using TBSA and APACHE II score.

scholarly journals The effect of socioeconomic status on informal caregiving for parents among adult married females: evidence from China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yi Wang ◽  
Jiajia Li ◽  
Lulu Ding ◽  
Yuejing Feng ◽  
Xue Tang ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Logistic Regression ◽  
Educational Attainment ◽  
Informal Care ◽  
High Intensity ◽  
Multinomial Logistic Regression ◽  
Economic Status ◽  
Registration System ◽  
Low Intensity ◽  
Married Female

Abstract Background Married female caregivers face a higher risk of an informal care burden than other caregivers. No study has explored the effect of socioeconomic status (SES) on the intensity of informal care provided by married female caregivers in China. The purpose of this study is to empirically examine how the SES of married female caregivers affects the intensity of the informal care they provide for their parents/parents-in-law in China. Methods The data for this study were drawn from 8 waves of the China Health and Nutrition Survey (CHNS). The respondents were married women whose parents/parents-in-law needed care and lived in the same city as them. SES was defined based on four indicators: education, economic status, employment status, and hukou (China’s household registration system). Informal caregivers were divided into three categories: non-caregivers (0 h/week), low-intensity caregivers (less than 10 h/week), and high-intensity caregivers (10 h/week and above). Multinomial logistic regression analysis was used to examine the relation between SES and the likelihood of a low- and high-intensity caregiving among married female caregivers, adjusting for age, family characteristics and survey wave. Results Of the 2661 respondents, high-intensity and low-intensity caregivers accounted for 16.35 and 21.27%, respectively. The multinomial logistic regression results showed that the likelihood of being a high-intensity caregiver versus (vs. a non-caregiver) increased as the caregiver’s educational attainment increased (p < 0.05), and that high economic status was related to the likelihood of being a high-intensity caregiver, but this relationship was only significant at the 10% level. Urban females were 1.34 times more likely than their rural counterparts to provide low-intensity care vs. no care (p < 0.05) and were 1.33 times more likely to provide high-intensity care vs. no care (p < 0.05). Employed females were 1.25 times more likely than those unemployed females to provide low-intensity care vs. no care (p < 0.05). Conclusions Differences in SES were found between high-intensity caregivers and low-intensity caregivers. Women with high educational attainment and urban hukou were more likely to provide high-intensity informal care, and women who were employed and had urban hukou were more likely to provide low-intensity care.

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