scholarly journals Multinomial Logistic Regression Model for Assessing Factors Associated with Junk Food Consumption of Secondary Level Students

2021 ◽  
pp. 21-38
Author(s):  
Srijana Subedi ◽  
Madhav Kumar Bhusal

Background: Globalization, economic progress, urbanization, and industrialization have ushered in considerable changes in lifestyles and diet regimes. Consumption of junk food has surged at a rapid pace nowadays. In Nepal, there is a lack of sufficient research regarding junk food practices and persuading factors for its consumption, among teenage students. It is a global concern and has threatened the health of many people. Objective: This research aims to explore the factors associated with junk food consumption among students of secondary level in Ratnanagar Municipality of Chitwan.  Materials and Methods: A cross-sectional research design consisting of 371 secondary level students, and selection based on primary data collection method by the researchers was used in this study. The data was analyzed using descriptive as well as an inferential statistical method. To find the association of different factors with junk food consumption levels (Low, Moderate, and High) multinomial logistic regression model (MLRM) was used, and the goodness of fit of the model was assessed. Results: The fitted MLRM satisfied the criteria of the diagnostic test including a test of goodness of fit, multi-collinearity test, and minimum criteria of the model utilization with the classification accuracy of 55%. The variables like family monthly income (OR=1.000011, C.I=1.000001 - 1.000020), students’ daily pocket money (OR=1.02, C.I=1.007 - 1.033), gender (OR=0.354, C.I= 0.179 - 0.7), knowledge regarding junk food consumption (OR=2.744, C.I=1.366 - 5.511), attitude towards food choice (OR=2.487, C.I=1.288 – 4.803), friend’s encouragement for junk food consumption (OR=0.178, C.I=0.045 – 0.701), and occupation of father (business) (OR=2.867, C.I=1.084 – 7.581) are seen to be significant to the model High versus Low consumption. Students’ daily pocket money (OR=1.012, C.I=1.002 – 1.023), knowledge regarding junk food consumption (OR=2.427, C.I=1.293 – 4.553), restrictive food parenting practice (OR=2.228, C.I=0.945 – 5.253), friend’s encouragement for junk food consumption (OR=0.252, C.I=0.067 – 0.944), recognition of marketing promotion strategy (OR=0.523, C.I=0.295 – 0.928), educational level of mother (lower secondary level) (OR=5.465, C.I=1.069 – 27.952), occupation of father (business) (OR=2.47, C.I=1.056 – 5.777) are seen to be significant to the model Moderate versus Low consumption. Conclusion:  Study revealed that more than one-fourth of the sampled students were high consumers of junk foods. Many factors are associated with the consumption of junk foods. Thus, addressing the issue of increasing consumption, developing strategies & conducting different research in this field is the must. Concerned authorities should also pay special attention to this subject matter. 

2020 ◽  
Vol 4 ◽  
pp. 17-32
Author(s):  
Santosh Kumar Shah

Background: Food is basics of our lives and many people experiences food insecurity at some time because of food deprivation and lack of access to food due to different resource constraints. It is a global challenge and threatens the rural people in developing countries like Nepal. Objective: The objective of the study is to identify the factors associated with food insecurity in rural area of Nepal. Materials and Methods: The analysis is based on rural household data extracted from the data of Nepal Demographic and Health Survey 2016. The dependent variable food insecurity status was measured in four levels namely food secure, mildly food insecure, moderately food insecure and severely food insecure household using Household Food Insecurity Access Scale. Independent variables were categorical and quantitative variables. In order to identify the factors associated with food insecurity, ordinal logit model was fitted initially. Due to violation of test of parallel lines by overall as well as some of the independent variables, multinomial logistic regression model was finally adopted by examining the model adequacy test. Results: The fitted multinomial logistic regression satisfied the diagnostic test including tests of goodness of fit, multicolinearity diagnostic criteria and minimum criteria of utilization of the model with about 29% predictive power. The variables ecological region, wealth index, size of agriculture land, any member(s) having saving account in any financial institution, any member(s) had gone to foreign employment in last 5 years other than India, family size, number of members completed secondary education and household member rearing cattle(s) were found to be significant. The poorest households (HHs) had 3.14 (CI: 1.88-5.26) times, poorer HHs 2.51 (CI: 1.55-4.07) times and moderate HHs 1.42 times higher chances of being severely food insecure relative to rich HHs. Conclusion: The study revealed that food insecurity of the rural HHs increases with decrease in the wealth index, size of land and number of members of the HHs with completed secondary education. The food insecurity of the households decreases with increase in the access to bank service.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3198 ◽  
Author(s):  
Daniel N. Qekwana ◽  
James Wabwire Oguttu ◽  
Fortune Sithole ◽  
Agricola Odoi

BackgroundStaphylococci are commensals of the mucosal surface and skin of humans and animals, but have been implicated in infections such as otitis externa, pyoderma, urinary tract infections and post-surgical complications. Laboratory records provide useful information to help investigate these infections. Therefore, the objective of this study was to investigate the burdens of these infections and use multinomial regression to examine the associations between variousStaphylococcusinfections and demographic and temporal factors among dogs admitted to an academic veterinary hospital in South Africa.MethodsRecords of 1,497 clinical canine samples submitted to the bacteriology laboratory at a veterinary academic hospital between 2007 and 2012 were included in this study. Proportions of staphylococcal positive samples were calculated, and a multinomial logistic regression model was used to identify predictors of staphylococcal infections.ResultsTwenty-seven percent of the samples tested positive forStaphylococcusspp. The species ofStaphylococcusidentified wereS. pseudintermedius(19.0%),S. aureus(3.8%),S. epidermidis(0.7%) andS. felis(0.1%). The remaining 2.87% consisted of unspeciatedStaphylococcus. Distribution of the species by age of dog showed thatS. pseudintermediuswas the most common (25.6%) in dogs aged 2–4 years whileS. aureuswas most frequent (6.3%) in dogs aged 5–6 years.S. pseudintermedius(34.1%) andS. aureus(35.1%) were the most frequently isolated species from skin samples. The results of the multivariable multinomial logistic regression model identified specimen, year and age of the dog as significant predictors of the risk of infection withStaphylococcus. There was a significant temporal increase (RRR = 1.17; 95% CI [1.06–1.29]) in the likelihood of a dog testing positive forS. pseudintermediuscompared to testing negative. Dogs ≤ 8 years of age were significantly more likely to test positive forS. aureusthan those >8 years of age. Similarly, dogs between 2–8 years of age were significantly more likely to test positive forS. pseudintermediusthan those >8 years of age. In addition, dogs 2–4 years of age (RRR = 1.83; 1.09–3.06) were significantly more likely to test positive forS. pseudintermediuscompared to those <2 years of age. The risk of infection withS. pseudintermediusorS. aureuswas significantly higher in ear canal and skin specimens compared to other specimens.ConclusionsThe findings suggest thatS. pseudintermediusandS. aureuswere the most commonly isolated species from dogs presented at the study hospital. Age of the dog and the location of infection were significant predictors of infection with bothStaphylococcusspecies investigated. Significant increasing temporal trend was observed forS. pseudintermediusbut notS. aureus. This information is useful for guiding clinical decisions as well as future research.


2019 ◽  
Vol 11 (1) ◽  
pp. 43-78
Author(s):  
James Law

Abstract Frame Semantics offers a valuable perspective on mechanisms of semantic change, particularly metonymy. However, corpus-based frame analysis has rarely been applied to diachronic data. The potential of this approach is illustrated with a diachronic description of the Purpose frame in French, based on 1,429 tokens of 17 frame-evoking words. Metonymic mappings in the frame allow Means and Medium to replace Agent. A multinomial logistic regression model shows that usage of these mappings has increased since 1600 and is conditioned by genre and the frequency and grammatical category of the frame-evoking word. The approach may inform how metonymy leads to lexicalized semantic change.


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