Factors affecting on perception and knowledge of portion size in young adults

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Makbule Gezmen Karadağ ◽  
Duygu Ağagündüz ◽  
Hilal Yıldıran ◽  
Sabriye Arslan ◽  
Onur Toka

Purpose The purpose of this study is to evaluate the perception and knowledge of standard food/meal portion size and related factors in young adults. Design/methodology/approach The present study was conducted on 1,000 volunteer young adults, consisting of 504 men and 496 women (18 and 28 years). The portion size of food/meal, amount of food measuring utensils and also nutritional knowledge were evaluated via a questionnaire and some visual materials. Findings Knowledge of portion sizes, amount of food each utensil holds and nutrition was evaluated via a questionnaire and some visual materials. Knowledge of portion size with respect to food groups (p = 0.015), meals (p < 0.001) and food measuring utensils (p = 0.002) and nutritional knowledge scores (p = 0.011) differed based on body mass indexes (BMI). Women had on mean a higher nutritional knowledge score than men (2.0 ± 1.3, 1.9 ± 1.1 points, respectively). The probability of having knowledge about food measuring utensils was 1.4-fold greater for individuals who had been previously educated about nutrition (p = 0.034). Individuals of the faculty of health sciences had higher mean scores for all portion scores (p < 0.05). Originality/value The study findings highlighted that portion knowledge and perception of young adults were affected by gender, BMI, enrolled faculty and nutritional knowledge status. This is the first study, through which the portion knowledge and perception subcomponents (food, meal and measuring utensils) are evaluated, indicating each subcomponent to be affected by distinct factors.

2016 ◽  
Vol 48 (4) ◽  
pp. 208-214 ◽  
Author(s):  
Rameshwar Dubey ◽  
Angappa Gunasekaran ◽  
Nezih Altay ◽  
Stephen J Childe ◽  
Thanos Papadopoulos

Purpose – At a time when the number and seriousness of disasters seems to be increasing, humanitarian organizations find that besides their challenging work they are faced with problems caused by a high level of turnover of staff. The paper aims to discuss these issues. Design/methodology/approach – Based on the 24 variables leading to employee turnover identified by Cotton and Tuttle (1986) the authors analyse the work-related, external and personal factors affecting employee turnover in humanitarian organizations, using a survey of members of the Indian National Institute of Disaster Management. Findings – Results indicated that the three factors are present. Of the external factors, only employment perception had a factor loading over 0.7; of the work-related factors, all were significant; of the personal factors, biographical information, marital status, number of dependants, aptitude and ability and intelligence had the highest loadings. It was also shown that behavioural intentions and net expectation were not significant. Originality/value – Only a few studies reported on employee turnover and its reasons are not well understood in the context of humanitarian organizations. To address this need, the aim of this paper is to explore the personal reasons impacting employee turnover in humanitarian organizations. In the study the authors have adopted 24 variables used in Cotton and Tuttle (1986) and classified into constructs to explain turnover, and further tested the model using data gathered from humanitarian organizations.


2016 ◽  
Vol 29 (7) ◽  
pp. 721-732 ◽  
Author(s):  
Ahmed Essmat Shouman ◽  
Nahla Fawzy Abou El Ezz ◽  
Nivine Gado ◽  
Amal Mahmoud Ibrahim Goda

Purpose – The purpose of this paper is to measure health-related quality of life (QOL) among patients with early stage cancer breast under curative treatment at department of oncology and nuclear medicine at Ain Shams University Hospitals. Identify factors affecting QOL among these patients. Design/methodology/approach – A cross-sectional study measured QOL among early stage female breast cancer (BC) patients and determined the main factors affecting their QOL. Three interviewer administered questionnaires were used. Findings – The physical domain mostly affected in BC patients and the functional domain least. Socio-demographic factors that significantly affected BC patients QOL scores were patient age, education, having children and family income. Specific patient characteristics include caregiver presence – a factor that affected different QOL scores. Age at diagnosis, affection in the side of the predominant hand, post-operative chemotherapy and difficulty in obtaining the medication were the disease-related factors that affected QOL scores. Originality/value – The final model predicting QOL for early stage female BC patients included age, education and difficulty in obtaining the medication as determinants for total QOL score. Carer presence was the specific patient characteristic that affected different QOL scores.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benviolent Chigara ◽  
Tirivavi Moyo

Purpose The purpose of this study was to investigate the perceptions of construction professionals relative to factors that affect the delivery of optimum health and safety (H&S) on construction projects during the COVID-19 pandemic. Design/methodology/approach The study adopted a quantitative design which entailed the distribution of a web-based questionnaire among construction professionals, namely, architects, construction/project managers, engineers, H&S managers and quantity surveyors working for contractors and construction consultants in Zimbabwe. The data were analysed with descriptive and inferential statistics. Factor analysis was used to reveal interrelated significant sets of factors affecting the delivery of optimum H&S. Findings Factor analysis revealed nine components/factors: change and innovation-related, monitoring and enforcement-related, production-related, access to information and health service-related, on-site facilities and welfare-related, risk assessment and mitigation-related, job security and funding-related, cost-related and COVID-19 risk perception-related factors as the significant factors affecting the delivery of optimum H&S during the COVID-19 pandemic in Zimbabwe. Research limitations/implications The results highlighted the need for social dialogue among construction stakeholders to support initiatives that will enhance the delivery of H&S on construction projects. Construction stakeholders may find the results useful in highlighting the areas that need improvement to protect workers’ H&S during the pandemic. However, the small sample limits the generalisability of the results to construction sectors in other regions. Originality/value The study investigated factors affecting the delivery of optimum H&S during the COVID-19 to inform interventions to enhance H&S.


2020 ◽  
Vol 13 (6) ◽  
pp. 633-648
Author(s):  
Niina Herttuala ◽  
Lauri Kokkinen ◽  
Anne Konu

PurposeThe purpose of this study was to describe factors that support and prevent managers' work wellbeing by reviewing international studies and interviewing Finnish social- and healthcare managers.Design/methodology/approachTwenty-two studies were identified in the systematic literature search. Seven social care and healthcare managers were recruited to participate in thematic interviews. Data were analyzed by using content analysis.FindingsSupportive and preventive factors for managers' work wellbeing were identified in the literature review, including managerial position, decision latitude, job control, social support and ethical culture at the workplace. The interviews further suggested that the supportive and preventive factors affecting social and healthcare managers' work wellbeing could be divided into five broad categories: (1) Individual factors, (2) Social factors, (3) Professional support from one's own manager, (4) Work-related factors and (5) Organizational factors.Originality/valueWe conducted a systematic literature search together with expert interviews to find the factors most crucial to managers' work wellbeing. These findings can assist social and healthcare organizations and policymakers to pay attention to these factors as well as in policies guiding them.


2018 ◽  
Vol 41 (10) ◽  
pp. 1176-1200 ◽  
Author(s):  
Shilpi Smita Panda ◽  
Nihar Ranjan Mishra

Purpose Seasonal labour migration is a common form of temporary migration where the work of the migrant labour depends on seasonal conditions and is performed only during that period of year. This paper aims to identify the factors and subfactors of temporary labour migration from the existing literature. Design/methodology/approach The paper is based on an extensive review of the literature on temporary labour migration. Studies done from 1990 to 2016 were considered for review. The literatures from research articles, book chapters, working papers, conference papers and field-based project reports from various disciplines, like economics, sociology, anthropology, psychology and management studies were reviewed for critically analysing various factors affecting seasonal labour migration. Findings A total of five key factors and 60 subfactors of temporary labour migration were documented from previous studies. The findings of the study are organized under five thematic segments: economic factors, social factors, environmental factors, policy-related factors and psychological factors New aspects of seasonal migration were identified such as “role of labour contractors ”, “inter-generational mobility”, “social networks”, “grassroot politics”, “migrant’s relationship with the agents”, “labour registration process”, “market intervention” and “civil society intervention” after consultation with the subject experts and field study. Research limitations/implications The paper restricts itself to include aspects of temporary labour migration. Only the factors and subfactors affecting temporary migration are taken into purview. Further the findings of the paper can be empirically tested to know the significance of each factor and subfactor. Practical implications The paper has implications for better understanding of the temporary labour migration process in different context by focussing extensively on the factors of migration. The factors identified can be empirically tested in regional and local context, which would provide effective insights for policy formulation for the welfare and protection of the migrant workers. Originality/value The paper fulfils an identified need to provide a holistic review for understanding and documenting various factors and subfactors that affect the process of temporary labour migration.


2019 ◽  
Vol 12 (6) ◽  
pp. 1028-1054 ◽  
Author(s):  
Harish Kumar Singla ◽  
Priyanka Bendigiri

Purpose The purpose of this paper is to find out the factors affecting rentals of residential apartments in Pune, India. Design/methodology/approach Four regression models are developed, i.e. basic ordinary least square (OLS) regression model, OLS regression model with robust estimates, OLS regression model with clustered robust estimates and generalized least square (GLS) regression model with maximum likelihood (ML) robust estimates. Based on the Akaike information criterion and Bayesian information criterion criteria, OLS regression model with clustered robust estimates and GLS regression model with robust estimates are best fit. The data are tested for multicollinearity and the models are tested for heteroscedasticity. The study uses the expected rent value data collected from Web portals and the data on factors affecting the rental value of residential property are collected through the study of land use maps, Google earth software and field visits. Findings Total floor area and number of rooms are structure related factors that positively affect the rental value, i.e. more the area and number of rooms, higher the rental value. The distances from the nearest police station and fire station are security and safety factors. The results suggest that higher distance from these factors leads to lower rental values, as safety and security is the top priority of residents seeking residential property on rental basis. The distance from employment zones, distance from nearest school/college and the distance from the nearest public transport terminal are convenience related factors that negatively affect the rental value, as greater the distance, lesser the rental value and vice versa. The distance from Central Business District and hospitals has a positive effect on the rental values of a residential property implying that higher distances from these places command higher rental value. Research limitations/implications The study relies on rental data that owner is expecting for a particular property, it is not certain that the property would be actually rented for the same value. Second, researchers had to drop certain important drivers of rental value because of the issue of multicollinearity. Practical implications This is one of the rare studies conducted in Indian context, and the findings of the study are useful from the owner, tenants, urban bodies and developers’ point of view. Knowing that India is one of the fastest growing markets and need for housing is increasing day by day (including housing facility on rental basis), the stakeholders need to take care of the factors that affect the rental values of a residential property. Social implications The authors suggest the governments and the municipal bodies in India to come up with a public rental housing policy that separately caters to the needs of the lower income group, middle and upper income group in at least metros, tier I and tier II cities that are witnessing unprecedented growth in job seeking immigrants, who are seeking properties on rental basis. While developing a public rental policy, they must keep in mind the factors that are driving the rental values, such as proximity to employment zones, proximity to proper school and college, efficient public transport system as well as all safety and security measures. Creation of such a public rental policy is a win–win situation for immigrants, property owners and government/urban development bodies. Originality/value This paper is the first empirical study about the factors affecting rental values in Pune, India. The study will help property owners, immigrant and local tenants, government and urban development bodies to develop an understanding about the important factors affecting rental value and come up with their respective plans. Advanced econometric regression models are used based on the data that is collected through actual field visits, study of maps and secondary information rather than use of survey method or creation of dummy variables.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gitesh Chavan ◽  
Ranjan Chaudhuri ◽  
Wesley J. Johnston ◽  
Benjamin Garner

Purpose This paper aims to empirically validate an integrated model, combining fuzzy analytical hierarchy processing and quality function deployment, used to construct a purchasing performance (PP) matrix for engineering procurement and construction companies (EPCs). The relationship is established by linking internal customer needs (“whats”; product-related factors), with engineering requirements (“hows”; buyer-related factors [BRFs] and organization-related factors). Three different of buying types are included: new task, straight rebuy and modified rebuy. Design/methodology/approach The paper uses qualitative and quantitative techniques to determine the factors affecting PP and the extent of their influence. Evaluation of the factors affecting the PP of EPC companies is based on 32 industry experts’ opinions, supported by the academic literature. Findings The most significant finding is that researchers should explicitly consider BRFs like buyer knowledge, which has been missing in earlier PP models. BRFs appear to be a link between different types of buying; ignoring their importance can lead to less optimized PP and erroneous findings. Originality/value This research is unique, as PP models of EPC firms have neither been published nor validated empirically, either nationally or internationally. This exploratory study adds to the body of knowledge both by identifying the emerging factors that constitute the construct of the PP of EPCs and by filling the gap between theory and practice concerning an evaluation of the PP of EPCs. Theoretical and practical implications are discussed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Krzysztof Jackowicz ◽  
Łukasz Kozłowski ◽  
Adrian Strucinski

PurposeThe authors investigate the factors affecting the decision of small and medium-sized enterprises (SMEs) to do business with either small local banks or large commercial banks.Design/methodology/approachWe combine various data sources on Polish SMEs, including their financial statements, county-level data on SMEs' local environment, information about bank branch locations, as well as a new survey on the specificity of bank–firm relationships. We employ the logit and Tobit models.FindingsSMEs' bank choices and the length of a bank–firm relationship are more strongly associated with trust-related factors, rather than transactional ones. SME managers motivated by trust-related factors are more likely to choose local lenders and maintain long-term relationships with them. However, as firms grow and mature, SME managers lean toward banks adopting transaction-oriented policies.Research limitations/implicationsWe could have drawn a more detailed picture of the bank selection process had we been able to compare the traits of a firm's current and previous banks.Practical implicationsThe study shows that the features of a bank's offer, including product prices, have limited potential in shaping long-term relationships between banks and SMEs.Originality/valueThe topic of bank selection by SMEs has not been thoroughly investigated in the case of Central European countries. We address this gap by comparing two types of potential drivers of bank selection: trust-related factors and a set of purely economic (transactional) motives.


Author(s):  
Nhat Lam Duyen Tran ◽  
Roberto F. Rañola, ◽  
Bjoern Ole Sander ◽  
Wassmann Reiner ◽  
Dinh Tien Nguyen ◽  
...  

Purpose In recent years, climate-smart agriculture (CSA) was introduced to Vietnam to enhance farmers’ resilience and adaptation to climate change. Among the climate-smart agricultural technologies (CSATs) introduced were water-saving techniques and improved stress tolerant varieties. This study aims to examine the determinants of farmers’ adoption of these technologies and the effects of their adoption on net rice income (NRI) in three provinces as follows: Thai Binh (North), Ha Tinh (Central) and Bac Lieu (South). Design/methodology/approach Determinants of adoption of CSATs and the adoption effects on NRI are analyzed by using a multinomial endogenous switching regression framework. Findings The results showed that gender, age, number of family workers, climate-related factors, farm characteristics, distance to markets, access to climate information, confidence on the know-how of extension workers, membership in social/agricultural groups and attitude toward risk were the major factors affecting the decision to adopt CSATs. However, the effects of these factors on the adoption of CSATs varied across three provinces. These technologies when adopted tend to increase NRI but the increase is much greater when these are combined. Practical implications It is important to consider first the appropriateness of the CSA packages to the specific conditions of the target areas before they are promoted. It is also necessary to enhance the technical capacity of local extension workers and provide farmers more training on CSATs. Originality/value This study is the first attempt to identify key determinants of adoption of CSATs either singly or in combination and the adoption effects on NRI in Vietnam.


2016 ◽  
Vol 29 (6) ◽  
pp. 628-645
Author(s):  
Maria do Carmo Caccia-Bava ◽  
Valerie C.K. Guimaraes ◽  
Tor Guimaraes

Purpose – Without use the expected benefits from healthcare management systems (HMS) cannot be derived. Thus, while use alone may not guarantee success, one can safely assume that the more use the better. HMS has been instrumental in facilitating care providers’ work. However, many hospitals have encountered usage problems and some user-related factors have been recognized in the literature as potentially important to make HMS more successful. The purpose of this paper is to test the importance of the factors proposed in the literature as important determinants of HMS usage measured by the number of hours used and the frequency of use. Design/methodology/approach – Several user-related variables such as user participation, user expertise, and user training previously studied separately by different authors are brought together into an integrated model to be tested empirically. Data from 213 nurses using their hospital HMS have been used to test proposed relationships between the independent variables and HMS usage results. Findings – The results confirm the importance of these factors and provide the basis for managerial recommendations. Hospital managers can use the resources validated by this study to improve their own operations and improve the likelihood of success implementing HMS. Future research projects may identify other possible factors important for HMS implementation success to improve the model proposed here. Originality/value – HMS is a very widely used and an important system for hospitals, but has been neglected in research. This is one of the first rigorous studies of HMS, and the results provide new practical insights for hospital administrators.


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