scholarly journals Impact of change in household environment condition on morbidity in India: Evidence from longitudinal data

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247465
Author(s):  
N. Brahmanandam ◽  
R. Nagarajan

Background Household environment condition is an important predictor of morbidity of the household members. Without forming a healthy household environment, creating a healthy population is not possible. In this background, this study assesses the impact of change in household environment conditions on morbidity. Methods For the empirical analysis purpose of this study, we used two waves of longitudinal data from India Human Development Survey (2004–05, 2011–12). This study is based on 34131 re-contacted households in 2011–12 from the base year 2005. The bivariate and ANOVA tests were performed to assess any short-term morbidity (diarrhoea, fever and cough) with respect to change in household environment condition from 2005 to 2011. The multivariate linear regression was performed to assess the impact of change in household environment conditions on morbidity. The multinomial logistic regression was used to assess the impact of change in household environment condition on change in morbidity. Results The results from multivariate linear regression have shown that the share of household members fell sick due to any short-term morbidity (ASM) was significantly lower (β = –0.060, P<0.001) among the households who lived in clean environment condition in both the periods, 2004–05 and in 2011–12 as compared to those who were living in poor environment condition in both periods net of other socio-economic characteristics of the households. The share of household members fell sick due to any short-term morbidity has significantly declined (β = –0.051, P<0.001) among the household whose household environment condition has changed from poor in 2004–05 to clean environment in 2011–12 as compared to the households who have lived in poor environment condition in both periods in 2004–05 and 2011–12. The results of adjusted percentage from multinomial logistic regression have shown that the household members who fell sick with ASM was remained higher (4.9%; P<0.05) among the households whose environment condition was remained poor in both years in 2005 and 2011 as compared to the other households (2.7%) who remained in the better-off condition in both years in 2005 and 2011. Conclusion Considering the findings of the study, we suggest that ongoing government flagships programmes such as Swacch Bharat Mission (Clean India Mission), Pradhan Mantri Ujjwala Yojana (Prime Minister Clean Energy Scheme) and Pradhan Mantri Awas Yojana (Prime Minister Housing Scheme), and Jal Jeevan Mission (Improved Source of Drinking Water Scheme) should work in tandem to improve household environment conditions.

Author(s):  
Tiémoko Soumaoro

This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception.


2020 ◽  
Vol 32 (6) ◽  
pp. 789-796
Author(s):  
Árpád Török

This study examines the correlation between road accident casualties and the age of the vehicle, assuming that the age of vehicles and the improvements in their safety designs are related. The study evaluates the impact of the interrelationship between road segment characteristics and road accident type on vehicle age at the time of the accident (AVC). To analyse the nested relationship between these variables, a multinomial logistic regression (MML) model has been developed. The result of the analysis also duly finds that vehicle age has an emphatic role in the occurrence of accidents.


Author(s):  
Partha Mukhopadhyay ◽  
Partha Pratim Sengupta

Due to weak logistics, the price of potato has been observed volatile since 2011, at Burdwan, West Bengal, India. Burdwan becomes news headlines for the farmer suicide rate in 2015. The Hon'ble Prime Minister has called for doubling of farmers' income by 2022. In Bengal, it is known as Bengal Fasal Bima Yojona (BFBY). BFBY is free to farmers and the Government of West Bengal pays the premium. Insurance premiums price moves from a government account to account of insurance companies but farmers are remaining cashless and fall into a debt trap due to the low selling price. To bridge the gap and to find the result, data was collected from 701 farmers of 16 Blocks of Purba Burdwan. Eight estimators are considered. The authors continue the study on the basis of analysis done by Mukhopadhyay et al.. Using multinomial logistic regression to analyse the data they observe income, marital status, age, and education which are significant to the loan ‘defaulter' group.


2017 ◽  
Vol 15 (1) ◽  
pp. 67-92 ◽  
Author(s):  
Michal Plaček

The impact of decentralization on efficiency in the production of public goods and services has been described by the current scientific discourse in some detail. In this article, we focus on an analysis of the impact of the factor of decentralization as well as other selected factors on efficiency in public procurement. We view the term efficiency to be the ratio between the tendered and the estimated price, but also as procedural correctness and legality, as it is reflected in the administration of complaints, investigations, and findings regarding violations of the law by the supervising authority. We then describe the phases of bidding and post-bidding. For empirical research, we used linear regression and logistic regression. These methods are applied to data regarding public procurement for the years 2010-2014. The results show that, among the contracting authorities at the different levels of decentralization, there were statistically significant differences which we can explain through the different levels of accountability, economies of scale, as well as the qualifications of the workers of the contracting authority.


2009 ◽  
Vol 41 (9) ◽  
pp. 2181-2200 ◽  
Author(s):  
Edith de Meester ◽  
Maarten van Ham

Time spent on work and commuting within dual-earner households is often analysed separately for individuals, but this does no justice to the reality of dual-earner households where decisions on work and commuting are made in a household context. This paper reports on a quantitative study of the impact of the residential context on working arrangements and commuting arrangements of partners in couple and family households. Using multinomial logistic regression, we analysed data from the 2002 Netherlands Housing Demand Survey and the 2004 ABF Real Estate Monitor. The results show a (gendered) effect of residential location in terms of degree of urbanisation and job access on both working and commuting arrangements. Good access to jobs makes it more likely that couples have a symmetric full-time working arrangement and also more likely that both partners work far away from home. Those in symmetric full-time working arrangements are also those most likely to be in symmetric close commuting arrangements. This finding reflects the substantial time pressure on such households.


2018 ◽  
Vol 146 (9-10) ◽  
pp. 538-542
Author(s):  
Ivo Kehayov ◽  
Aleksandar Kostic ◽  
Borislav Kitov ◽  
Vesna Nikolov ◽  
Hristo Zhelyazkov ◽  
...  

Introduction/Objective. Subdural hematoma is one of the most common intracranial types of bleeding with high risk of disability and mortality. The aim of this study was to determine the influence of age, sex, acuteness, and etiology of subdural hematoma on short-term clinical outcome in these patients. Methods. We retrospectively studied 288 patients who were diagnosed and operated on for subdural hematomas (SDH) with different etiology (traumatic and spontaneous) and acuteness (acute, subacute, and chronic) for a period of five years. Patients scored ? 5 points on the Glasgow Coma Scale at hospital admission were not included in this study. Clinical outcome was assessed by the modified Rankin Scale (mRS) score at hospital discharge. Descriptive statistics and logistic regression analysis were used to determine the effect of the investigated factors on short-term clinical outcome. Results. Logistic regression analysis was conducted to predict degree of recovery (good = mRS ?1 vs. poor = mRS ? 2 or death) using sex, age, acuteness, and etiology of SDH as predictive factors. It was established that the following three factors made a significant contribution to the outcome: age (p = 0.004), acuteness (p < 0.001), and etiology of a hematoma (p = 0.023), with acuteness being the strongest predictive factor. Sex was not a significant predictor, while age under 70 years and spontaneous origin of SDH were associated with lower mRS scores and had a positive effect on recovery chances. Conclusion. Age, acuteness, and etiology of hematoma are important predictive factors that influence the short-term clinical outcome in patients with SDH. These parameters should be taken into account when giving prognosis for recovery chances to a patient?s family and relatives.


Author(s):  
Heidrun Sturm ◽  
Miriam Colombo ◽  
Teresa Hebeiss ◽  
Stefanie Joos ◽  
Roland Koch

Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size—a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one’s own health, populations did not differ significantly between the regions. However, citizens’ perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8–4.3 and pharmacies: 1.7–2.5) as well as between regions (GPs: 1.7–3.1; therapists: 2.9–4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens’ perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens’ needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.


Languages ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 59
Author(s):  
Amanda Dalola ◽  
Keiko Bridwell

This article presents a study of measures of center of gravity (COG) in phrase-final fricative epithesis (PFFE) produced by L1 and L2 speakers of Continental French (CF). Participants completed a reading task targeting 98 tokens of /i,y,u/ in phrase-final position. COG measures were taken at the 25%, 50% and 75% marks, normalized and submitted to a mixed linear regression. Results revealed that L2 speakers showed higher COG values than L1 speakers in low PFFE-to-vowel ratios at the 25%, 50%, and 75% marks. COG measures were then categorized into six profile types on the basis of their frequencies at each timepoint: flat–low, flat–high, rising, falling, rising–falling, and falling–rising. Counts of COG profile were then submitted to multinomial logistic regression. Results revealed that although L1 speakers produced predominantly flat–low profile types at lower percent devoicings, L2 speakers preferred multiple strategies involving higher levels of articulatory energy (rising, falling, rise–fall). These results suggest that while L1 speakers realize PFFE differently with respect to phonological context, L2 speakers rely on its most common allophone, strong frication, in most contexts. As such, the findings of this study argue for an additional phonetic dimension in the construct of L2 sociophonetic competence.


2021 ◽  
pp. 238008442199863
Author(s):  
S.P. Plaza-Ruíz ◽  
D.M. Barbosa-Liz ◽  
A.A. Agudelo-Suárez

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created a new scenario for dental practice, and teledentistry (TD) is a field of relevance for dentists. Objective: To evaluate the impact of the COVID-19 pandemic on the knowledge, practices, and expectations of dentists toward TD and its association with sociodemographic variables. Methods: A cross-sectional survey was administered to dentists in Colombia as part of global research on the impact of COVID-19 on dentistry. The core questionnaire included 5 additional questions on TD that were added by the Colombian research team in 5 domains about TD: Q1, knowledge; Q2, practices; Q3, expectations; Q4, usefulness; and Q5, reimbursement. Sociodemographic variables were also measured. The questionnaire was validated in a pilot test and administered via digital media. Descriptive and bivariate analysis for sociodemographic and TD variables were done. For the evaluation of the chances of a determined answer, an ordinal multinomial logistic regression (Q1 and Q2) and binomial logistic regression (Q3 and Q5) analyses were made. Results: In total, 5,370 dentists answered the survey (women: 3,878; mean age: 45 y). The response rate of the survey was 16.84%. Knowledge and practice of TD before the COVID-19 pandemic were both low (25.75% and 12.42%, respectively); however, since the beginning of the current pandemic, knowledge increased by 62.72% and practice by 42.53%. Some 93.1% of respondents considered that TD could be useful in their clinical practice, and 59.55% would consider practicing it after the pandemic. A high number of dentists (88.58%) did not charge for these services. Logistic regressions showed significant differences according to sociodemographic variables. Conclusions: The COVID-19 pandemic has had a great impact on TD, increasing knowledge and practice significantly. Dentists expect to continue practicing TD in the future. However, some geographical, technological, and attitudinal barriers need to be broken down to increase daily use of TD. Knowledge Transfer Statement: This article provides an overview about the impact of COVID-19 pandemic in the knowledge and attitudes about teledentistry (TD) in general dentists and both clinical and nonclinical specialists. Although some barriers to the use of TD continue, this pandemic brought with it a new scenario for dental practice, which must be implemented through training for professionals to increase its use.


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