Sushma Dhital
Sushma Dhital
BPH, MPM (BNU, China), MPH (Lanzhou University, China)
About
8
Publications
18,576
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93
Citations
Citations since 2017
Introduction
Research Interest: Epidemiology, Health Statistics, Environmental Health, Air pollution and Human Health
Education
September 2019 - June 2022
September 2018 - June 2019
September 2015 - June 2017
Publications
Publications (8)
This study accessed the variation in physico-chemical properties of soil from the Shivapuri Nagarjun National Park, central Nepal with respect to elevation gradient. Field visits were conducted during pre-monsoon and post-monsoon season. Soil samples were collected at every 100 m increase in elevation at the 15 cm depth from 1600 m to 2732 m (lower...
Demographic trend of population mobility in Nepal is significant which has given rise to various opportunities and also tragic end. The role and relationship of family is influenced by change in family structure. The focus of this study is to assess the status of migration, ageing and spousal separation in Nepal. The study is based on the census da...
Pesticides are used for increasing the agricultural productivity and safeguarding the public health. This paper analyses the trend of pesticide import, formulation and consumption in Nepal. Moreover, quantity of pesticide used per hectare of agriculture field in Nepal has been compared with other countries of the world and banned pesticides in Nepa...
To give a basic overview of research publications on air pollution and human health, a bibliometric analysis of 2179 documents published during the last two decades (year 1998 to 2017) was carried out. The relevant data was retrieved from the Web of Science Core Collection (WoSCC) and analyzed by using the software such as VOSviewer 1.6.7, Tableau...
Indoor air pollution (IAP) is one of the leading risk factors for various adverse health outcomes including premature deaths globally. Even though research related to IAP has been carried out, bibliometric studies with particular emphasis on this topic have been lacking. Here, we investigated IAP research from 1990 to 2019 retrieved from the Web of...
Background:
Cervical cancer is the second most frequent cancer and cause of cancer-related deaths among women in Nigeria. The Visual inspection with acetic acid and cryotherapy "see and treat" screening approach is a feasible and effective method that can be implemented in low resource settings like Nigeria; however, screening utilization is still...
The original publication of this paper contain typographical mistakes. ‘Michael Bell’ mentioned in this paper should be corrected as ‘Michelle L. Bell’.
Questions
Questions (8)
The date for the dependent variable ( death count ), and for the independent variable (air pollutants), is different. How do we arrange it in a spreadsheet and how lag days are formed? Also, I have other two variables like age and sex.
I have data of blood pressure, fasting blood glucose and post prandial (after lunch) blood glucose level. I wonder if have to analyze with each data such as fasting glucose level with systolic blood pressure, fasting blood glucose level with diastolic blood pressure and so on, or is there another way to do? For instance, can I merge the fasting and postprandium and categorize as diabetes, no diabetes etc? Similarly can I just analyze fasting blood glucose level and post prandial blood glucose level with blood pressure without categorizing diastolic and systolic?
Especially when second research question is dependent on the significant result of the first research research question ?
How to know whether we should keep it as covariate or factors in ordinal regression when using SPSS?
Is ordinal regression and ordered ordinal logit model the same? I read that there are different types of ordinal regression. How can I understand which type of ordinal regression should I use and analyze in SPSS in a simple way?
I have two variable M17= income of the respondent and M19= income of the spouse. I want to compute income of each male respondent and income of each female respondent. How can I do that? What command should I use?
I have four questions and I want to make it one variable. The one variable I wanted to make is work-family conflict. The coding I have 1= several times a week, 2= several times a month, 3= once or twice in three month, 4= Never happened and 0= Not applicable. I can here re code it and change it to greater the value, higher the conflict.
But to make one variable, should I add all the questions ? If I do so, I will get number ranging from something like 2 to 16, does it give any sense.In this case, should I exclude 'Not applicable' option, because I think, this option distorts the total value. And, If I have to exclude this, how can I do it in SPSS?
Suppose, I excluded this option and the range I got is 4 to 16, is it still meaningful ? Is it possible to recode as a low, moderate and high conflict? If it is not the right way, What else I can do?
''Several times a week, once a week'', which variable is this ? and how can I recode it in SPSS?
