scholarly journals The socio-economic patterning of survey participation and non-response error in a multilevel study of food purchasing behaviour: area- and individual-level characteristics

2003 ◽  
Vol 6 (2) ◽  
pp. 181-189 ◽  
Author(s):  
Gavin Turrell ◽  
Carla Patterson ◽  
Brian Oldenburg ◽  
Trish Gould ◽  
Marie-Andree Roy
Keyword(s):  
Population Based ◽  
Response Error ◽  
Food Purchasing ◽  
Small Areas ◽  
Individual Level ◽  
Home Based ◽  
Survey Participation ◽  
Purchasing Behaviour ◽  
Economic Position ◽  
The Relationship

AbstractObjective:To undertake an assessment of survey participation and non-response error in a population-based study that examined the relationship between socio-economic position and food purchasing behaviour.Design and setting:The study was conducted in Brisbane City (Australia) in 2000. The sample was selected using a stratified two-stage cluster design. Respondents were recruited using a range of strategies that attempted to maximise the involvement of persons from disadvantaged backgrounds: respondents were contacted by personal visit and data were collected using home-based face-to-face interviews; multiple call-backs on different days and at different times were used; and a financial gratuity was provided.Participants:Non-institutionalised residents of private dwellings (n = 1003), located in 50 small areas that differed in their socio-economic characteristics.Results:Rates of survey participation – measured by non-contacts, exclusions, dropped cases, response rates and completions – were similar across areas, suggesting that residents of socio-economically advantaged and disadvantaged areas were equally likely to be recruited. Individual-level analysis, however, showed that respondents and non-respondents differed significantly in their sociodemographic and food purchasing characteristics: non-respondents were older, less educated and exhibited different purchasing behaviours. Misclassification bias probably accounted for the inconsistent pattern of association between the area- and individual-level results. Estimates of bias due to non-response indicated that although respondents and non-respondents were qualitatively different, the magnitude of error associated with this differential was minimal.Conclusions:Socio-economic position measured at the individual level is a strong and consistent predictor of survey non-participation. Future studies that set out to examine the relationship between socio-economic position and diet need to adopt sampling strategies and data collection methods that maximise the likelihood of recruiting participants from all points on the socio-economic spectrum, and particularly persons from disadvantaged backgrounds. Study designs that are not sensitive to the difficulties associated with recruiting a socio-economically representative sample are likely to produce biased estimates (underestimates) of socio-economic differences in the dietary outcome being investigated.

scholarly journals Measuring socio-economic position in dietary research: is choice of socio-economic indicator important?

2003 ◽  
Vol 6 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Gavin Turrell ◽  
Belinda Hewitt ◽  
Carla Patterson ◽  
Brian Oldenburg
Keyword(s):  
Household Income ◽  
Fruits And Vegetables ◽  
Social Process ◽  
Economic Indicator ◽  
Food Purchasing ◽  
Small Areas ◽  
Disadvantaged Groups ◽  
Composite Indices ◽  
Purchasing Behaviour ◽  
Economic Position

AbstractObjectives:To examine the association between socio-economic position (SEP) and diet, by assessing the unadjusted and simultaneously adjusted (independent) contributions of education, occupation and household income to food purchasing behaviourDesign:The sample was randomly selected using a stratified two-stage cluster design, and the response rate was 66.4%. Data were collected by face-to-face interview. Food purchasing was examined on the basis of three composite indices that reflected a household's choice of grocery items (including meat and chicken), fruit and vegetablesSetting:Brisbane City, Australia, 2000Participants:Non-institutionalised residents of private dwellings (n = 1003), located in 50 small areas (Census Collectors Districts)Results:When shopping, respondents in lower socio-economic groups were less likely to purchase grocery foods that were high in fibre and low in fat, salt and sugar. Disadvantaged groups purchased fewer types of fresh fruits and vegetables, and less often, than their counterparts from more advantaged backgrounds. When the relationship between SEP and food purchasing was examined using each indicator separately, education and household income made an unadjusted contribution to purchasing behaviour for all three food indices; however, occupation was significantly related only with the purchase of grocery foods. When education and occupation were simultaneously adjusted for each other, the socio-economic patterning with food purchase remained largely unchanged, although the strength of the associations was attenuated. When household income was introduced into the analysis, the association between education, occupation and food purchasing behaviour was diminished or became non-significant; income, however, showed a strong, graded association with food choiceConclusions:The food purchasing behaviours of socio-economically disadvantaged groups were least in accord with dietary guideline recommendations, and hence are more consistent with greater risk for the development of diet-related disease. The use of separate indicators for education, occupation and household income each adds something unique to our understanding of how socio-economic position is related to diet: each indicator reflects a different underlying social process and hence they are not interchangeable, and do not serve as adequate proxies for one another

scholarly journals A multilevel study of area socio-economic status and food purchasing behaviour

2009 ◽  
Vol 12 (11) ◽  
pp. 2074-2083 ◽  
Author(s):  
Gavin Turrell ◽  
Rebecca Bentley ◽  
Lyndal R Thomas ◽  
Damien Jolley ◽  
SV Subramanian ◽  
...  
Keyword(s):  
Economic Status ◽  
Mail Survey ◽  
Household Composition ◽  
Multilevel Regression ◽  
Food Purchasing ◽  
Small Areas ◽  
Individual Level ◽  
Socio Economic Status ◽  
Dietary Guideline ◽  
Purchasing Behaviour

AbstractObjectiveThe present study examined the association between area socio-economic status (SES) and food purchasing behaviour.DesignData were collected by mail survey (64·2 % response rate). Area SES was indicated by the proportion of households in each area earning less than $AUS 400 per week, and individual-level socio-economic position was measured using education, occupation and household income. Food purchasing was measured on the basis of compliance with dietary guideline recommendations (for grocery foods) and variety of fruit and vegetable purchase. Multilevel regression analysis examined the association between area SES and food purchase after adjustment for individual-level demographic (age, sex, household composition) and socio-economic factors.SettingMelbourne city, Australia, 2003.SubjectsResidents of 2564 households located in fifty small areas.ResultsResidents of low-SES areas were significantly less likely than their counterparts in advantaged areas to purchase grocery foods that were high in fibre and low in fat, salt and sugar; and they purchased a smaller variety of fruits. There was no evidence of an association between area SES and vegetable variety.ConclusionsIn Melbourne, area SES was associated with some food purchasing behaviours independent of individual-level factors, suggesting that areas in this city may be differentiated on the basis of food availability, accessibility and affordability, making the purchase of some types of foods more difficult in disadvantaged areas.

scholarly journals The Effect of Surrounding Greenness on Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort in Taiwan

2020 ◽  
Vol 18 (1) ◽  
pp. 267
Author(s):  
Hui-Ju Tsai ◽  
Chia-Ying Li ◽  
Wen-Chi Pan ◽  
Tsung-Chieh Yao ◽  
Huey-Jen Su ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Population Based ◽  
Research Database ◽  
Individual Level ◽  
The Relationship

This study determines whether surrounding greenness is associated with the incidence of type 2 diabetes Mellitus (T2DM) in Taiwan. A retrospective cohort study determines the relationship between surrounding greenness and the incidence of T2DM during the study period of 2001–2012 using data from the National Health Insurance Research Database. The satellite-derived normalized difference vegetation index (NDVI) from the global MODIS database in the NASA Earth Observing System is used to assess greenness. Cox proportional hazard models are used to determine the relationship between exposure to surrounding greenness and the incidence of T2DM, with adjustment for potential confounders. A total of 429,504 subjects, including 40,479 subjects who developed T2DM, were identified during the study period. There is an inverse relationship between exposure to surrounding greenness and the incidence of T2DM after adjustment for individual-level covariates, comorbidities, and the region-level covariates (adjusted HR = 0.81, 95% CI: 0.79–0.82). For the general population of Taiwan, greater exposure to surrounding greenness is associated with a lower incidence of T2DM.

scholarly journals Effect of socioeconomic status on risk of COVID-19: a population-based case-control study

2021 ◽  
Author(s):  
Hüseyin Küçükali ◽  
Osman Hayran ◽  
Şeyda İleri ◽  
Berkay Kurt ◽  
Fatmanur Kuru ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Case Control Study ◽  
Population Based ◽  
Case Control ◽  
Age And Gender ◽  
Individual Level ◽  
Significant Difference ◽  
And Gender ◽  
The Relationship ◽  
Control Study

Abstract Most of the studies investigating the relationship between socioeconomic status and the occurrence of COVID-19 have limitations due to their ecological design. To investigate the relationship between socioeconomic status and individual-level risk of developing COVID-19, we conducted a population-based, age and gender matched, case-control study in a district of Istanbul. The case group was defined as all confirmed COVID-19 cases (n=232) in the district in a week of August 2020. The control group was matched with cases in terms of age and gender and selected randomly from the directory of the same primary care provider in the district in a 1:1 ratio. The socioeconomic status was measured by the Turkish Socioeconomic Status Index which considers its three dimensions: education, occupation, and income. 168 cases (72.4% response) and 168 controls are included in the study. The mean socioeconomic status score is 70.28±7.09 for cases and 69.25±7.46 for controls (p=0.201). 15.2% (n=25) of cases and 22.4% (n=37) of controls is in lower socioeconomic status group (p=0.091). The analysis did not reveal a statistically significant difference between study groups. Socioeconomic status may not a significant predictor of COVID-19 occurrence at the individual-level. The disease seems to be a common threat to all individuals.

scholarly journals COVID-19′s First Wave: Examination of Impact on Food Purchasing Behaviour in the Eurozone

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1179
Author(s):  
Belén Gutiérrez-Villar ◽  
Rosa Melero-Bolaños ◽  
Mariano Carbonero-Ruz
Keyword(s):  
Negative Impact ◽  
Food Prices ◽  
Correlation Index ◽  
Death Rates ◽  
Food Purchasing ◽  
Purchasing Behaviour ◽  
Two Phases ◽  
The Relationship ◽  
Research Period

COVID-19 has had a negative impact on the living conditions of people in all countries worldwide. With a devastating economic crisis where many families are finding it difficult to pay bills and make ends meet, increases in prices of food basket staples can be very worrying. This study examines the relationship between the incidence of the pandemic during the first wave in 16 Eurozone countries with the variation experienced in food prices. We analysed the harmonised index of consumer food prices (included in HICP) and the classification of the degree of pandemic impact by country, the latter established with the index of deaths provided by the Johns Hopkins Center. The procedure used compared actual food prices during the first wave (March to June 2020) with those foreseeable in the absence of the pandemic. Time series analysis was used, dividing the research period into two phases. In both phases, the Holt–Winters model was applied for estimation and subsequent prediction. After a contrast using Kendall’s tau correlation index, it was concluded that in the countries with the highest death rates during the first wave, there was a higher increase in food prices than in the least affected countries of the Eurozone.

The relationship between aviators' home-based stress to work stress and self-perceived performance.

2000 ◽  
Author(s):  
Edna R. Fiedler ◽  
Pam Della Rocco ◽  
David J. Schroeder ◽  
Kiet T. Nguyen
Keyword(s):  
Work Stress ◽  
Perceived Performance ◽  
Home Based ◽  
The Relationship
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