scholarly journals Assessing dietary intake: Who, what and why of under-reporting

1998 ◽  
Vol 11 (2) ◽  
pp. 231-253 ◽  
Author(s):  
Jennie Macdiarmid ◽  
John Blundell
Keyword(s):  
Dietary Intake ◽  
Dietary Fat ◽  
Fruits And Vegetables ◽  
Multidisciplinary Approach ◽  
Research Area ◽  
Poor Quality ◽  
Dietary Intakes ◽  
Quality Of Data ◽  
Positive Health

AbstractUnder-reporting of food intake is one of the fundamental obstacles preventing the collection of accurate habitual dietary intake data. The prevalence of under-reporting in large nutritional surveys ranges from 18 to 54% of the whole sample, but can be as high as 70% in particular subgroups. This wide variation between studies is partly due to different criteria used to identify under-reporters and also to non-uniformity of under-reporting across populations. The most consistent differences found are between men and women and between groups differing in body mass index. Women are more likely to under-report than men, and under-reporting is more common among overweight and obese individuals. Other associated characteristics, for which there is less consistent evidence, include age, smoking habits, level of education, social class, physical activity and dietary restraint.Determining whether under-reporting is specific to macronutrients or food is problematic, as most methods identify only low energy intakes. Studies that have attempted to measure under-reporting specific to macronutrients express nutrients as percentage of energy and have tended to find carbohydrate under-reported and protein over-reported. However, care must be taken when interpreting these results, especially when data are expressed as percentages. A logical conclusion is that food items with a negative health image (e.g. cakes, sweets, confectionery) are more likely to be under-reported, whereas those with a positive health image are more likely to be over-reported (e.g. fruits and vegetables). This also suggests that dietary fat is likely to be under-reported.However, it is necessary to distinguish between under-reporting and genuine under-eating for the duration of data collection. The key to understanding this problem, but one that has been widely neglected, concerns the processes that cause people to under-report their food intakes. The little work that has been done has simply confirmed the complexity of this issue. The importance of obtaining accurate estimates of habitual dietary intakes so as to assess health correlates of food consumption can be contrasted with the poor quality of data collected. This phenomenon should be considered a priority research area. Moreover, misreporting is not simply a nutritionist's problem, but requires a multidisciplinary approach (including psychology, sociology and physiology) to advance the understanding of under-reporting in dietary intake studies.

Poor Quality of Data in Africa: What Are the Issues?

2018 ◽  
Vol 46 (6) ◽  
pp. 851-877 ◽  
Author(s):  
Abel Kinyondo ◽  
Riccardo Pelizzo
Keyword(s):  
Poor Quality ◽  
Quality Of Data

scholarly journals NUMERICAL EVALUATION OF TUNNEL PORTAL SLOPE STABILITY AT BAGONG DAM SITE, EAST JAVA, INDONESIA

2020 ◽  
Vol 5 (1) ◽  
pp. 40
Author(s):  
Irien Akinina Fatkhiandari ◽  
I Gde Budi Indrawan, Dr.
Keyword(s):  
Slope Stability ◽  
Research Area ◽  
Poor Quality ◽  
Geological Mapping ◽  
Residual Soil ◽  
Volcanic Breccia ◽  
Earthquake Load ◽  
Dam Site ◽  
Tunnel Portal

Geometries of excavated tunnel portal slopes at Bagong Dam site was initially designed without taking into account earthquake load. The excavated slope designs also assumed the rocks consisting the slopes were homogenous. The purpose of this research was to evaluate stability of the excavated tunnel inlet and outlet slopes at the Bagong Dam site under static and earthquake loads using finite element method. Stability of the natural slopes was also analyzed for comparison. The numerical static and pseudostatic analyses of slope stability were carried out using RS2 software (Rocscience, Inc.). Input data used in the numerical analyses were obtained from engineering geological mapping, rock core analyses, and laboratory tests. Seismic coefficient applied in the pseudostatic slope stability analyses was determined following guideline described in Indonesian National Standard. The engineering geological mapping and evaluation of rock cores indicated that the inlet tunnel slope consisted of four types of materials, namely residual soil, poor quality of volcanic breccia, very poor quality of volcanic breccia, and good quality of volcanic breccia. The outlet portal slope consisted of six types of materials, namely residual soil, very poor quality of limestone, poor quality of limestone, very poor quality of volcanic breccia, poor quality breccia, and good quality breccia. Based on the secondary elastic wave velocity (Vs) values, the rock masses in the research area were classified as hard rock (SA). Seismic analyses based on the earthquake hazard source map with 10% probability of exceedance in 50 years provided by the National Earthquake Center (2017) indicated that the PGA and the corresponding amplification factor FPGA in the research area were 0.3 and 0.8, respectively. The calculated seismic coefficient for the pseudostatic slope stability analyses was 0.12. The numerical analysis results showed that, in general, earthquake load reduced critical Strength Reduction Factor (SRF) values of the slopes. However, the natural and excavated tunnel portal slopes were relatively stable under static and earthquake loads. The natural slope at the tunnel inlet with a 40° inclination had critical SRF value of 4.0, while that of at the tunnel outlet with a 51° inclination had critical SRF value of 2.6. Under static load, the excavated slopes at the tunnel inlet and outlet having a 45° inclination had critical SRF values of 2.4 and 5.0, respectively. Under earthquake load, the excavated slopes at the tunnel inlet and outlet had critical SRF values of 2.3 and 3.5, respectively.

Information Cleansing and Processing

2010 ◽  
pp. 84-96
Author(s):  
Manjunath Ramachandra
Keyword(s):  
Supply Chain ◽  
Data Acquisition ◽  
Poor Quality ◽  
Quality Of Data ◽  
Data Cleansing

The data gathered from the sources are often noisy Poor quality of data results in business losses that keep increasing down the supply chain. The end customer finds it absolutely useless and misguiding. So, cleansing of data is to be performed immediately and automatically after the data acquisition. This chapter provides the different techniques for data cleansing and processing to achieve the same.

scholarly journals Eating location is associated with the nutritional quality of the diet in Norwegian adults

2013 ◽  
Vol 17 (4) ◽  
pp. 915-923 ◽  
Author(s):  
Jannicke B Myhre ◽  
Elin B Løken ◽  
Margareta Wandel ◽  
Lene F Andersen
Keyword(s):  
Dietary Intake ◽  
Fast Food ◽  
Nutritional Quality ◽  
Dietary Intakes ◽  
Sugar Sweetened Beverages ◽  
Cross Sectional ◽  
Sweetened Beverages ◽  
Private Households ◽  
At Home

AbstractObjectiveTo study the association between dinner eating location and the nutritional quality of the specific dinner meal and the whole-day dietary intake and to compare the diets of those consuming ≥25 % of energy out of home and at school/work (SOH; substantial out-of-home eaters) with those consuming <25 % of energy out (NSOH; non-substantial out-of-home eaters).DesignCross-sectional dietary survey using two non-consecutive 24 h recalls. Recorded eating locations were at home, other private households, work/school, restaurant/cafeteria/fast-food outlet and travel/meeting.SettingNationwide, Norway (2010–2011).SubjectsAdults aged 18–70 years (n 1746).ResultsDinners at restaurants and other private households were higher in energy than home dinners (P < 0·01). Restaurant dinners contained less fibre (g/MJ; P < 0·01) and had a higher percentage of alcohol consumers (P < 0·05), while dinners at other private households had a higher percentage of energy from sugar (P < 0·001) and a higher percentage of consumers of sugar-sweetened beverages (P < 0·05) than home dinners. Most differences between dinners consumed at different eating locations were also observed in dietary intakes for the whole day. SOH-eaters had a higher energy intake (P < 0·01), a higher percentage of energy from sugar (P < 0·01) and a lower fibre intake (P < 0·01) than NSOH-eaters. The percentages of consumers of alcohol and sugar-sweetened beverages were higher (P < 0·01) among SOH-eaters.ConclusionsDinner eating location was significantly associated with the nutritional quality of the diet, both for the specific dinner meal and for whole-day intake. Our data generally point to healthier dinners being consumed at home. SOH-eaters had a less favourable dietary intake than NSOH-eaters.

Quality of data on intra-EU trade in goods

2019 ◽  
Vol 64 (6) ◽  
pp. 5-15
Author(s):  
Iwona Markowicz ◽  
Paweł Baran
Keyword(s):  
Poor Quality ◽  
Study Data ◽  
Quality Of Data ◽  
Member States ◽  
Eu Member States ◽  
Country Level ◽  
The Poor ◽  
Made In

Official statistics on trade in goods between EU member states are collect-ed on country-level and then aggregated by Eurostat. Methodology of data collecting differs slightly between member states(e.g. various statistical thresholds and coverage), including differences in exchange rates as well as undeclared or late-declared transac-tions, errors in classification of goods and other mistakes. It often involves incomparability of mirror data (nominally concerning the same transactions recorded in statistics of both dispatcher and receiver countries). A huge part of these differences can be explained with the variable quality of data resources in the Eurostat database. In the study data quality on intra-EU trade in goods for 2017 was compared between Poland and neigh-bouring EU countries, i.e.:Germany, Czech Republic, Slovakia, Lithuania,and other Baltic states–Latvia and Estonia. The additional aim was to indicate the directions hav-ing the greatestinfluence on the observed differences in mirror data. The results of the study indicate that the declarations made in Estonia affect the poor quality of data on trade in goods between the countries mentioned above to the greatest extent.

scholarly journals Do Dutch nutrition and dietetics students meet nutritional requirements during education?

2013 ◽  
Vol 17 (6) ◽  
pp. 1237-1244 ◽  
Author(s):  
Joke J van der Kruk ◽  
Harriët Jager-Wittenaar ◽  
Roos MB Nieweg ◽  
Cees P van der Schans
Keyword(s):  
Vitamin D ◽  
Dietary Intake ◽  
Fruits And Vegetables ◽  
Longitudinal Research ◽  
First Year ◽  
Dietary Intakes ◽  
Cross Sectional ◽  
First Year Students ◽  
Dietary Record ◽  
Nutrition And Dietetics

AbstractObjectivesTo compare the dietary intakes of Dutch nutrition and dietetics students with the Dutch RDA and the Dutch National Food Consumption Survey (DNFCS), and to assess whether dietary intake changes during education.DesignCross-sectional and longitudinal research (2004–2010).SettingData collection by 7 d dietary record and questionnaire.SubjectsDutch nutrition and dietetics students.ResultsThree hundred and fifty-two first-year and 216 fourth-year students were included. One hundred and thirty-three students in three cohorts were assessed twice. Of first-year students, >80 % met the RDA for all macronutrients. Of these students only 37 % met the RDA for fibre and in 43 % intake of saturated fat was too high. Fourth-year students more often met the RDA for fruits (55 %) and vegetables (74 %) compared with first-year students (32 % and 40 %, respectively). Intake of fruits and vegetables of both first- and fourth-year students was much higher than that of DNFCS participants (where 2 % and 7 %, respectively, met the corresponding RDA). Only <25 % of fourth-year students met the RDA for Fe, Se and vitamin D. In the cohorts, dietary intake for all macronutrients stabilised from the first to the fourth year (>80 %). Intakes of dietary fibre, Ca, Mg, Se, riboflavin, niacin, fruits, vegetables and fish improved significantly during education.ConclusionsDietary intake of nutrition and dietetics students is much better than that of DNFCS participants and improved during education. However, there is still a gap between actual dietary intake and the RDA, especially for Fe, Se and vitamin D.

scholarly journals Creating Informative Data Warehouses: Exploring Data and Information Quality through Data Mining

10.28945/2584 ◽  
2002 ◽  
Author(s):  
Herna L. Viktor ◽  
Wayne Motha
Keyword(s):  
Data Mining ◽  
Information Quality ◽  
Data Warehousing ◽  
Poor Quality ◽  
Quality Data ◽  
Data Warehouses ◽  
Quality Of Data ◽  
Poor Quality Data ◽  
Daunting Task

Increasingly, large organizations are engaging in data warehousing projects in order to achieve a competitive advantage through the exploration of the information as contained therein. It is therefore paramount to ensure that the data warehouse includes high quality data. However, practitioners agree that the improvement of the quality of data in an organization is a daunting task. This is especially evident in data warehousing projects, which are often initiated “after the fact”. The slightest suspicion of poor quality data often hinders managers from reaching decisions, when they waste hours in discussions to determine what portion of the data should be trusted. Augmenting data warehousing with data mining methods offers a mechanism to explore these vast repositories, enabling decision makers to assess the quality of their data and to unlock a wealth of new knowledge. These methods can be effectively used with inconsistent, noisy and incomplete data that are commonplace in data warehouses.

scholarly journals Effect of birth of child in the household on changes over 7 years in dietary intake and weight of adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Caroline Méjean ◽  
Pascaline Rollet ◽  
Wendy Si Hassen ◽  
Christine Tichit ◽  
Aurélie Lampuré ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Repeated Measures ◽  
Fruits And Vegetables ◽  
Saturated Fatty Acids ◽  
Processed Meat ◽  
Life Transition ◽  
Dietary Intakes ◽  
First Child ◽  
The Impact

AbstractIntroductionOver the life course, transitions such as parenthood are described in sociological studies as periods of change in attitudes and health practices. The presence of children has been shown to modify adult dietary practices and daily timing of eating occasions, and that the arrival of a child in the household is perceived by parents to be related to changes in their dietary behaviors. Nevertheless, no epidemiological study has evaluated the impact by a longitudinal approach. The objective of our study was to assess the effect of the birth of a first child in a household on dietary intake and weight of adults over a 7-year follow-up period.Materials and MethodsThis study was conducted in 3955 adults included in the NutriNet-Santé cohort study between 2009 and 2010. At baseline and every year, dietary intakes were assessed using 24 h records. In this sample, 185 individuals experienced the birth of a first child in their household during the 7 years of follow-up. Changes in weight, assessed by self-administered questionnaire each year, were analyzed only in women (n = 115). Repeated measures of dietary intake and weight were analysed using mixed models adjusted for sex, age, education level and energy with random effects of time and period (before and after birth of the child) to assess changes following the life event.ResultsThe birth of a first child in the household was associated with a decrease in the score of adherence to French recommendations (PNNS score, β [95% CI] = -0.45 [-0.74; -0.16]), in intakes of fruits and vegetables, meat and processed meat, and vitamin C (respectively, β = -0.30 [-0.43; -0.17]); β = -0.20 [-0.32; -0.17]); β = -0.54 [0.88; -0.19])). The birth of a first child in the household was also associated with an increase in intakes of saturated fatty acids and sodium (respectively, β = 1.49 [0.51, 2.45]); β = 0.31 [0.20; 0.43])). The birth of a first child was associated with weight gain in women (β = 1.70 [1.07, 2.33]).ConclusionOur study has shown that the birth of a first child in the household was associated with rather unhealthy dietary changes. These results could be used to guide public health interventions by focusing on this specific life transition.

Associations between digital health intervention engagement and dietary intake: A Systematic Review (Preprint)

2020 ◽  
Author(s):  
Tessa Delaney ◽  
Matthew Mclaughlin ◽  
Alix Hall ◽  
Sze Lin Yoong ◽  
Alison Brown ◽  
...  
Keyword(s):  
Systematic Review ◽  
Dietary Intake ◽  
Subjective Experience ◽  
Vegetable Intake ◽  
Digital Health ◽  
Poor Quality ◽  
Fruit And Vegetable Intake ◽  
Fruit And Vegetable ◽  
Vote Counting

BACKGROUND There has been a proliferation of digital health interventions (DHIs) targeting dietary intake. Despite their potential, the effectiveness of such interventions are thought to be dependent, in part, on user engagement. However, the relationship between engagement and the effectiveness of dietary DHIs is not well understood. OBJECTIVE As such, the aim of this systematic review is to describe the association between DHI engagement (both usage and subjective experience) and dietary intake. METHODS A comprehensive search for peer-reviewed literature was undertaken in four electronic databases (EMBASE, MEDLINE, PsychINFO, Scopus) from inception to December 2019. A hand search of targeted journals, grey literature searches and a search of relevant references of similar reviews was also conducted. Studies were eligible if they examined a quantitative association between objective measures of engagement with a DHI (subjective experience or usage) and measures of dietary intake in adults (aged ≥18 years). Authors single screened studies, with a pair of review authors assessing quality of studies and extracting relevant data. Narrative syntheses using vote counting was undertaken to explore to relationship between measures of engagement and dietary intake. RESULTS The search resulted in 10,653 citations, of which seven studies (from nine articles) were included in the review. The majority of studies (n=5) included usage measures of engagement rather than subjective experience (n=2). Logins were the most commonly reported usage measure (n=5 studies), and fruit and vegetable intake was the most common measure of dietary intake (n=4 studies). The heterogeneity of engagement and dietary intake measures limited the use of meta-analytic techniques, however narrative review (vote counting) found mixed evidence of an association with usage measures (5 of 12 associations indicating a positive relationship, 7 were inconclusive). No evidence regarding an association with subjective experience was found (0 of 2 associations were inconclusive). The majority of included studies (n=5) were rated poor quality according to the Newcastle Ottawa Scale. CONCLUSIONS The findings provide some evidence supporting an association between measures of usage and fruit and vegetable intake, however this was inconsistent. No evidence was found regarding an association with subjective experience. Given the limited number of studies included in the review and poor quality of available evidence further research examining the association between DHI engagement and dietary intake using consistent measures, with an additional focus on subjective experience is warranted. CLINICALTRIAL CRD42018112189

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