Validation of the 2 × 24 h recall method and a 7-d web-based food diary against doubly labelled water in Danish adults.

The European Food Safety Authority has suggested that EU countries implement the 2 × 24 h diet recall (2 × 24 h DR) method and physical activity (PA) measurements for national dietary surveys. Since 2000, Denmark has used 7 d food diaries (7 d FD) with PA questionnaires and measurements. The accuracy of the reported energy intakes (EI) from the two diet methods, pedometer-determined step counts and self-reported time spent in moderate-to-vigorous PA (MVPA) were compared with total energy expenditure measured by the doubly labelled water (TEEDLW) technique and with PA energy expenditure (PAEE), respectively. The study involved fifty-two male and sixty-eight female volunteers aged 18-60 years who were randomly assigned to start with either the 24 h DR or the web-based 7 d FD, and wore a pedometer for the first 7 d and filled in a step diary. The mean TEEDLW (11·5 MJ/d) was greater than the mean reported EI for the 7 d FD (9·5 MJ/d (P < 0·01)) but the same as the 2 × 24 h DR (11·5 MJ/d). The proportion of under-reporters was 34 % (7 d FD) and 4 % (2 × 24 h DR). Most participants preferred the 7 d DR as it was more flexible, despite altering their eating habits. Pearson's correlation between steps corrected for cycling and PAEE was r = 0·44, P < 0·01. Spearman's correlation for self-reported hours spent in MVPA and PAEE was r = 0·58, P < 0·01. The 2 × 24 h DR performs better than the existing 7 d FD method. Pedometer-determined steps and self-reported MVPA are good predictors of PAEE in adult Danes.

Accuracy of self-reported private health insurance coverage.

Studies on health insurance coverage often rely on measures self-reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of self-reported private health insurance (PHI) coverage in survey data. We find that 11.86% of individuals misreport their PHI coverage status, with 11.57% of true PHI holders reporting that they are uninsured and 12.37% of true non-insured persons self-identifying as insured. Our results show reporting errors are systematically correlated with individual and household characteristics. Our evidence on the determinants of errors is supportive of common reasons for misreporting. We directly investigate biases in the determinants of PHI enrollment using survey data. We find that, as compared to administrative data, survey data depict a quantitatively different picture of PHI enrollment determinants, especially those capturing age, gender, language proficiency, labor force status, disability status, number of children in the household, or household income. We also show that PHI coverage misreporting is subsequently associated with misreporting of reasons for purchasing PHI, type of cover and length of cover.

Misreporting of height and weight by primary school children in Japan: a cross-sectional study on individual and environmental determinants.

BACKGROUND: Appropriate body constitution during childhood is important for future health. However, it has been suggested that thinness is increasing among adolescent girls and boys in Japan. Since misreporting of height/weight may be a possible reflection of the child's ideal body image, we investigated the magnitude and direction of height/weight misreporting and its determinants among Japanese young adolescents. METHODS: A total of 1019 children in public primary schools were included in the analysis. Both measured and self-reported values of height/weight were obtained. Misreporting of height/weight was calculated by subtracting the measured value from the self-reported value. The association between misreporting and several variables such as the BMI z-score of individuals and body constitution of surrounding children was explored by multivariate linear mixed models. RESULTS: As BMI z-score increased, 'overreporting' of height by boys and 'underreporting' of height by girls became larger (p = 0.06 in boys, p = 0.02 in girls). Both boys and girls with a larger body size tended to underreport their weight (p < 0.01 in boys, p < 0.01 in girls). Boys who belonged to a school with a larger average BMI z-score were more likely to overreport their weight. This tendency was not observed for girls. CONCLUSIONS: Self-reported height/weight was generally accurate in Japanese primary school children. However, even primary school children misreported their height/weight intentionally like adults, possibly due to social pressure to lose weight or that not to stand out. Thus, health education about appropriate body constitution should be provided from the beginning of adolescence, particularly for girls.

On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net primary production.

With rapid economic growth and urbanization, self-sufficiency in crop production has become central to China's agriculture policy. Accurate crop production statistics are essential for research, monitoring, and planning. Although researchers agree that China's statistical authority has considerably modernized over time, China's economic statistics have still been viewed as unreliable and often overstated to meet growth targets at different administrative levels. Recent increases in crop production reported by national statistics have also come under increasing scrutiny. This paper investigates crop production data quality from a planetary boundary perspective-comparing net primary production (NPP) harvested obtained from national statistics with satellite-driven NPP estimates that are supported by detailed observation of land cover, combined with observations on physical factors that limit plant growth. This approach provides a powerful means to check the plausibility of China's grain production statistics at different administrative levels that can generate insights about their discrepancies and can contribute to improved crop production measurements. We find some evidence of potential misreporting problems from the lower administration level where the risk of manipulation of statistics is higher. We also find problems from provincial-level major grain producers. These values can also affect the national totals. Although the numbers are affected by large uncertainties, we find that improving the spatial resolution of key agricultural parameters can greatly improve the reliability of the indicator that in turn can help improve data quality. More reliable production data will be vital for relevant research and provide better insights into food security problems, the carbon cycle, and sustainable development.

Demographic and psychosocial correlates of measurement error and reactivity bias in a four-day image-based mobile food record among adults with overweight and obesity.

Improving dietary reporting among people living with obesity is challenging as many factors influence reporting accuracy. Reactive reporting may occur in response to dietary recording but little is known about how image-based methods influence this process. Using a 4-day image-based mobile food record (mFRTM), this study aimed to identify demographic and psychosocial correlates of measurement error and reactivity bias, among adults with BMI 25-40kg/m2. Participants (n=155, aged 18-65y) completed psychosocial questionnaires, and kept a 4-day mFRTM. Energy expenditure (EE) was estimated using ≥4 days of hip-worn accelerometer data, and energy intake (EI) was measured using mFRTM. Energy intake: energy expenditure ratios were calculated, and participants in the highest tertile were considered to have Plausible Intakes. Negative changes in EI according to regression slopes indicated Reactive Reporting. Mean EI was 72% (SD=21) of estimated EE. Among participants with Plausible Intakes, mean EI was 96% (SD=13) of estimated EE. Higher BMI (OR 0.81, 95%CI 0.72-0.92) and greater need for social approval (OR 0.31, 95% CI 0.10-0.96), were associated with lower likelihood of Plausible Intakes. Estimated EI decreased by 3% per day of recording (IQR -14%,6%) among all participants. The EI of Reactive Reporters (n=52) decreased by 17%/day (IQR -23%,-13%). A history of weight loss (>10kg) (OR 3.4, 95% CI 1.5-7.8), and higher percentage of daily energy from protein (OR 1.1, 95%CI 1.0-1.2) were associated with greater odds of Reactive Reporting. Identification of reactivity to measurement, as well as Plausible Intakes, is recommended in community-dwelling studies to highlight and address sources of bias.

A comparison of the remote food photography method and the automated self-administered 24-h dietary assessment tool for measuring full-day dietary intake among school-age children.

The limitations of self-report measures of dietary intake are well-known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self-Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in two, 3-d dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake between assessments, and between each assessment method and the Estimated Energy Requirement (EER). Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (P = 0·0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (P = 0·008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = -148 kcal, P = 0·09). Median satisfaction and ease of use scores were five out of six for both methods. A higher proportion of parents reported that the ASA24 was more time-consuming than the RFPM (74·4 % v. 25·6 %, P = 0·002). Utilisation of both methods is warranted given their high satisfaction among parents.

COVID-19 deaths in the USA: Benford's law and under-reporting.

BACKGROUND: I use Benford's law to assess whether there is misreporting of coronavirus disease of 2019 (COVID-19) deaths in the USA. METHODS: I use three statistics to determine whether the reported deaths for US states are consistent with Benford's law, where the probability of smaller digits is greater than the probability of larger digits. RESULTS: My findings indicate that there is under-reporting of COVID-19 deaths in the USA, although the evidence for and the extent of under-reporting does depend on the statistic one uses to assess conformity with Benford's law. CONCLUSIONS: Benford's law is a useful diagnostic tool for verifying data and can be used before a more detailed audit or resource intensive investigation.

Misperceiving and misreporting input quality: Implications for input use and productivity.

Farmers in developing countries routinely misperceive or misreport input quality for various reasons, which introduces substantial measurement error in farm survey data. In this paper, we motivate and illustrate, both analytically and empirically, the inferential and behavioral implications of misperception and misreporting using a unique crop variety identification data from Nigeria. Using a non-parametric framework for testing the presence of measurement error, we show that crop variety misclassification in our data is mostly driven by misperception. We then demonstrate the inferential challenges of treating misperception as misreporting and vice versa. Finally, we show that misperception induces crowding-in(out) of complementary agricultural inputs but these misperception-driven input allocations may not necessarily be yield-enhancing. As such, rectifying misperception by addressing agricultural input market imperfections may improve farmers' investment choices and productivity outcomes.

Data misreporting during the COVID19 crisis: The role of political institutions.

We use Benford's law of first digits to determine whether there is evidence of data misreporting in the total COVID19 reported cases across countries. We try to model the differences in the Mean Absolute Deviation of actual data from those predicted by Benford's law to indicate the factors that lead to data misreporting using regression analysis. Using the Instrumental Variable model of Lewbel (2012) and Settler Mortality as an external instrument for democracy, we show that autocratic countries are more likely to misreport the COVID19 cases.

Cardiometabolic Risk is Positively Associated with Underreporting and Inversely Associated with Overreporting of Energy Intake Among European Adolescents: The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) Study.

BACKGROUND: Dietary misreporting is the main limitation of dietary assessments and has been associated with BMI during youth. However there are no prior studies assessing misreporting and cardiometabolic risks (CMRs) in adolescence. OBJECTIVES: To examine the associations between dietary misreporting and CMR factors in adolescents and to assess the potential bias in the association between CMR and energy intake (EI) driven by dietary misreporting. METHODS: Two 24-hour dietary recalls were obtained from 1512 European adolescents (54.8% girls) aged 12.5-17.5 years. Physical activity was measured by accelerometry. Cut-offs suggested by Huang were applied to identify misreporters. Height, waist circumference (WC), the sum of 4 skinfold thicknesses, diastolic blood pressure (DBP), systolic blood pressure (SBP), and cardiorespiratory fitness (CRF) measurements were taken and serum triglycerides and total-/high-density lipoprotein cholesterol ratio were analyzed. A sex- and age-specific clustered CMR score (n = 364) was computed. Associations were investigated by multilevel regression analyses adjusting for age, sex, center, socioeconomic status, and physical activity. RESULTS: Underreporting (24.8% adolescents) was significantly (P < 0.05) associated with a higher WC, waist-to-height ratio (WHeR), and sum of skinfold thickness, whereas overreporting (23.4% adolescents) was significantly associated with a lower WC, WHeR, sum of skinfold thickness, and SBP. Associations between CMR factors and EI were significantly affected by misreporting, considering various approaches. Significant, positive associations became inverse after adjusting for misreporting for WC and WHeR. The opposite was true for the sum of skinfold thickness, SBP, and CMR score. The associations between EI and DBP and CRF did not remain significant after adjusting for misreporting. CONCLUSIONS: CMR factors differed among misreporting groups, and both abdominal and total fat mass indicators were more strongly associated with all forms of misreporting than was BMI. Moreover, misreporting seems to bias EI and CMR associations in adolescents. Therefore, energy misreporting should be taken into account when examining diet-CMR associations.

Inaccurate Ethnicity and Race Classification of Hispanics Following Trauma Admission.

BACKGROUND: Race and ethnicity are associated with disparate trauma outcomes. This study seeks to characterize accuracy of trauma registry classification of patient race and ethnicity and to identify factors associated with misclassification. METHODS: A prospective observational study of patients admitted to an urban Level 1 trauma center was conducted over a 6-mo period. Race and ethnicity data recorded in the trauma registry were compared to patients' self-identifying data obtained through in-person interviews. Logistic regression determined rates of discordant race and ethnicity between trauma registry and patient self-identification processes, and identified factors independently associated with misclassification. RESULTS: A total of 444 patients were recruited. 98 (22%) self-identified as Hispanic/Latino. 45 patients self-identifying as Hispanic (45.9%) had inaccurately recorded ethnicity in the trauma registry. There was an increased odds of ethnicity misclassification in younger patients (OR 0.97, P < 0.01) and Spanish-only speakers (OR 11.80, P < 0.001). A decreased odds was found in males (OR 0.43, P < 0.05). No factors increased odds of racial misclassification, while dual English/Spanish speakers (OR 0.05, P < 0.01) wereas found to have decreased odds. Neither ethnicity nor race misclassification was associated with clinical variables. New racial self-identification was observed with 75% of patients who self-identified ethnically as Hispanic also self-identifying racially as Hispanic. CONCLUSIONS: Hispanic trauma patients have racial and ethnic misclassifications regardless of clinical status. Racial and ethnic identification is not sufficiently captured by current standardized questionnaires. Accuracy of hospital level racial data is important for local and national policies to address trauma disparities.

Identification of psychological correlates of dietary misreporting under laboratory and free-living environments.

Errors inherent in self-reported measures of energy intake (EI) are substantial and well documented, but correlates of misreporting remain unclear. Therefore, potential predictors of misreporting were examined. In Study One, fifty-nine individuals (BMI = 26·1 (sd 3·8) kg/m2, age = 42·7 (sd 13·6) years, females = 29) completed a 14-d stay in a residential feeding behaviour suite where eating behaviour was continuously monitored. In Study Two, 182 individuals (BMI = 25·7 (sd 3·9) kg/m2, age = 42·4 (sd 12·2) years, females = 96) completed two consecutive days in a residential feeding suite and five consecutive days at home. Misreporting was directly quantified by comparing covertly measured laboratory weighed intakes (LWI) with self-reported EI (weighed dietary record (WDR), 24-h recall, 7-d diet history, FFQ). Personal (age, sex and %body fat) and psychological traits (personality, social desirability, body image, intelligence quotient and eating behaviour) were used as predictors of misreporting. In Study One, those with lower psychoticism (P = 0·009), openness to experience (P = 0·006) and higher agreeableness (P = 0·038) reduced EI on days participants knew EI was being measured to a greater extent than on covert days. Isolated associations existed between personality traits (psychoticism and openness to experience), eating behaviour (emotional eating) and differences between the LWI and self-reported EI, but these were inconsistent between dietary assessment techniques and typically became non-significant after accounting for multiplicity of comparisons. In Study Two, sex was associated with differences between LWI and the WDR (P = 0·009), 24-h recall (P = 0·002) and diet history (P = 0·050) in the laboratory, but not home environment. Personal and psychological correlates of misreporting identified displayed no clear pattern across studies or dietary assessment techniques and had little utility in predicting misreporting.

Energy misreporting is more prevalent for those of lower socio-economic status and is associated with lower reported intake of discretionary foods.

The role of socio-economic status (SES) on the misreporting of food and energy intakes is not well understood with disagreement in the literature. The aim of this study was to examine the associations between low energy reporting, dietary quality and SES in a representative sample of adults. Dietary data were collected using 2 d of 24-h recalls for 6114 adults aged 19 years and over, participating in the Australian National Nutrition and Physical Activity Survey 2011-2012. Low energy reporters (LER) and plausible reporters (PR) were identified. Discretionary food intake was used as a proxy indicator of diet quality. SES was determined using area-level SES and educational attainment. Regression analysis was applied to examine the effects of LER and SES on diet quality, adjusting for potential confounders. LER was more common in populations of lower SES than higher SES (area-level OR 1·46 (95 % CI 1·06, 2·00); education OR 1·64 (95 % CI 1·28, 2·09). LER and SES were independently associated with diet quality, with LER reporting lower percentage energy from discretionary foods compared with PR (27·4 v. 34·2, P < 0·001), and those of lower area-level SES and education reporting lower diet quality compared with those of higher SES (33·7 v. 31·2, P < 0·001; and 33·5 v. 29·6, P < 0·001, respectively). No interaction effect was found between LER and SES, indicating percentage energy in discretionary foods was not differentially misreported across the SES areas (0·3078) or education (P = 0·7078). In conclusion, LER and higher SES were associated with better diet quality.

The effect of different methods to identify, and scenarios used to address energy intake misestimation on dietary patterns derived by cluster analysis.

BACKGROUND: All self-reported dietary intake data are characterized by measurement error, and validation studies indicate that the estimation of energy intake (EI) is particularly affected. METHODS: Using self-reported food frequency and physical activity data from Alberta's Tomorrow Project participants (n = 9847 men 16,241 women), we compared the revised-Goldberg and the predicted total energy expenditure methods in their ability to identify misreporters of EI. We also compared dietary patterns derived by k-means clustering under different scenarios where misreporters are included in the cluster analysis (Inclusion); excluded prior to completing the cluster analysis (ExBefore); excluded after completing the cluster analysis (ExAfter); and finally, excluded before the cluster analysis but added to the ExBefore cluster solution using the nearest neighbor method (InclusionNN). RESULTS: The predicted total energy expenditure method identified a significantly higher proportion of participants as EI misreporters compared to the revised-Goldberg method (50% vs. 47%, p < 0.0001). k-means cluster analysis identified 3 dietary patterns: Healthy, Meats/Pizza and Sweets/Dairy. Among both men and women, participants assigned to dietary patterns changed substantially between ExBefore and ExAfter and also between the Inclusion and InclusionNN scenarios (Hubert and Arabie's adjusted Rand Index, Kappa and Cramer's V statistics < 0.8). CONCLUSIONS: Different scenarios used to account for EI misreporters influenced cluster analysis and hence the composition of the dietary patterns. Continued efforts are needed to explore and validate methods and their ability to identify and mitigate the impact of EI misestimation in nutritional epidemiology.

Misrepresentation and distortion of research in biomedical literature.

Publication in peer-reviewed journals is an essential step in the scientific process. However, publication is not simply the reporting of facts arising from a straightforward analysis thereof. Authors have broad latitude when writing their reports and may be tempted to consciously or unconsciously "spin" their study findings. Spin has been defined as a specific intentional or unintentional reporting that fails to faithfully reflect the nature and range of findings and that could affect the impression the results produce in readers. This article, based on a literature review, reports the various practices of spin from misreporting by "beautification" of methods to misreporting by misinterpreting the results. It provides data on the prevalence of some forms of spin in specific fields and the possible effects of some types of spin on readers' interpretation and research dissemination. We also discuss why researchers would spin their reports and possible ways to avoid it.

A forensic analysis of SARS-CoV-2 cases and COVID-19 mortality misreporting in the Brazilian population.

OBJECTIVE: The study aimed to investigate the misreporting number of positively tested individuals for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) succumbed or not to coronavirus disease 2019 (COVID-19) pandemic in Brazil at the city, state, and national scales using statistical forensic analysis. STUDY DESIGN: This is a register-based study over public health data collected, organized, and maintained by the Ministry of Health covering the Brazilian population. METHODS: We evaluated the Brazilian notifications of positively tested cases for SARS-CoV-2 who have succumbed or not to COVID-19 between February 26th to September 7th of 2020 at the city, state, and national scales for conformity to expected distribution provided by Benford's law (BL). RESULTS: Statistical analyzes demonstrated a significant rejection of SARS-CoV-2 notification cases at the city and the number of deaths by COVID-19 in all regional levels according to the hypothesis of conformity to BL. CONCLUSION: We demonstrated by BL, which has been widely applied to query the quality and reliability of different numerical data sources, the misreporting number of cases and deaths throughout the SARS-CoV-2 pandemic in Brazil. Therefore, we brought to light pieces of evidence that raise questions about the reliability of SARS-CoV-2 data in Brazil. This situation may have led to inconsistencies in public health policy actions, recommendations, and drastic humanitarian, social, and economic consequences such as the intensive unit care overload in some Brazilian regions.

Estimation of older-adult mortality from information distorted by systematic age misreporting.

Testing theories about human senescence and longevity demands accurate information on older-adult mortality; this is rare in low- to middle-income countries where raw data may be distorted by defective completeness and systematic age misreporting. For this reason, such populations are frequently excluded from empirical tests of mortality and longevity theories, thus limiting their reach, as they reflect only a small and selected human mortality experience. In this paper we formulate an integrated method to compute estimates of older-adult mortality when vital registration and population counts are defective due to inaccurate coverage and/or systematic age misreporting. The procedure is validated with a simulation study that identifies a strategy to compute adjustments, which, under some assumptions, performs quite well. While the paper focuses on Latin American and Caribbean countries, the method is quite general and, with additional information and some model reformulation, could be applied to other populations with similar problems.

A Bayesian hierarchical approach to quantifying stakeholder attitudes toward conservation in the presence of reporting error.

Stakeholder support is vital for achieving conservation success, yet there are few reliable mechanisms to monitor stakeholder attitudes toward conservation. Approaches used to assess attitudes rarely account for bias arising from reporting error, which can lead to falsely reporting a positive attitude toward conservation (false-positive error) or not reporting a positive attitude when the respondent has a positive attitude toward conservation (false-negative error). Borrowing from developments in applied conservation science, we used a Bayesian hierarchical model to quantify stakeholder attitudes as the probability of having a positive attitude toward wildlife notionally (or in abstract terms) and at localized scales while accounting for reporting error. We compared estimates from our model, Likert scores, and naïve estimates (i.e., proportion of respondents reporting a positive attitude in at least 1 question that was only susceptible to false-negative error) with true stakeholder attitudes through simulations. We then applied the model in a survey of tea estate staff on their attitudes toward Asian elephants (Elephas maximus) in the Kaziranga-Karbi Anglong landscape of northeast India. In simulations, Bayesian model estimates of stakeholder attitudes toward wildlife were less biased than naïve estimates or Likert scores. After accounting for reporting errors, we estimated the probability of having a positive attitude toward elephants notionally as 0.85 in the Kaziranga landscape, whereas the proportion of respondents who had positive attitudes toward elephants at a localized scale was 0.50. In comparison, without accounting for reporting errors, naïve estimates of proportions of respondents with positive attitudes toward elephants were 0.69 and 0.23 notionally and at local scales, respectively. False (positive and negative) reporting probabilities were consistently not 0 (0.22-0.68). Regular and reliable assessment of stakeholder attitudes-combined with inference on drivers of positive attitudes-can help assess the success of initiatives aimed at facilitating human behavioral change and inform conservation decision making.

Una Estrategia de Jerarquía Bayesiana para Cuantificar las Actitudes de Grupos de Interés hacia la Conservación en Presencia de Errores de Información Resumen El apoyo de los grupos de interés es vital para alcanzar el éxito en la conservación, sin embargo, existen pocos mecanismos confiables para monitorear la actitud de los grupos de interés hacia la conservación. Las estrategias que se usan para valorar las actitudes de los grupos de interés pocas veces toman en cuenta el sesgo que surge de errores en la información, lo cual puede resultar en un falso reporte de actitudes positivas hacia la conservación (error falso positivo) o en que no se reporte una actitud positiva cuando el respondiente tiene una actitud positiva hacia la conservación (error falso negativo). Usamos un modelo de jerarquía bayesiana, construido a partir del desarrollo aplicado en la ciencia de la conservación, para cuantificar las actitudes de los grupos de interés como la probabilidad de tener, teóricamente (o en términos abstractos) y a escalas locales, una actitud positiva hacia la vida silvestre mientras se compensa el error de información. Comparamos mediante simulaciones las estimaciones de nuestro modelo, los puntajes de Likert y las estimaciones ingenuas (es decir, la proporción de los respondientes que reportaron una actitud positiva en al menos una pregunta que se encontraba solamente susceptible al error falso negativo) con las verdaderas actitudes de los grupos de interés. Después aplicamos el modelo al censo realizado al personal de una finca de té sobre sus actitudes hacia los elefantes asiáticos (Elephas maximus) en el paisaje de Kaziranga-Karbi Anglong al noreste de la India. En las simulaciones, las estimaciones de las actitudes de los grupos de interés hacia la vida silvestre generados por el modelo bayesiano estuvieron menos sesgados que las estimaciones ingenuas o los puntajes de Likert. Después de considerar los errores de información, estimamos una probabilidad de 0.85 de que los respondientes teóricamente tuvieran una actitud positiva ante los elefantes en el paisaje de Kaziranga, mientras que la proporción de respondientes con actitudes positivas hacia los elefantes a escalas locales fue de 0.50. Como contraste, sin considerar los errores de información, las estimaciones ingenuas de la proporción de los respondientes con actitud positiva hacia los elefantes fueron de 0.69 y 0.23 teóricamente y a escalas locales, respectivamente. El reporte de falsos (positivos y negativos) en las probabilidades constantemente no fue 0 (0.22 - 0.68). La valoración regular y confiable de las actitudes de los grupos de interés - combinada con la inferencia sobre los conductores de estas actitudes positivas - puede ayudar a evaluar el éxito de las iniciativas enfocadas en facilitar cambios en el comportamiento humano y en informar a las decisiones de conservación.

Characterizing energy intake misreporting and its effects on intake estimations, in the Portuguese adult population.

OBJECTIVE: The aim of the current study was to evaluate energy intake misreporting prevalence, its associated factors and its effects on nutrient intake, in the Portuguese population aged from 18 to 84 years. DESIGN: Cross-sectional study. SETTING: Portugal. SUBJECTS: Adults participants from the National Food, Nutrition and Physical Activity Survey, IAN-AF, 2015-2016, who provided two complete 24 h dietary recall and complete covariate information. RESULTS: Under, plausible and over-reporters were identified according to the Goldberg method. Total misreporting prevalence was 29·9 %, being 28·5 % of under-reporting and 1·4 % of over-reporting. The current study found higher odds of being classified as an under-reporter especially in participants with higher BMI and in those who self-reported health perception status as non-favourable. Energy intake estimation increases by 853.5 kJ/d (204 kcal/d) when misreporters are excluded, and the same tendency is observed for macro and micronutrients. It is worth mentioning that the prevalence of inadequacy for protein intake decreases by about 5 % when considering plausible reporters. CONCLUSIONS: The exclusion of misreporters has a small impact on the crude energy and nutrient estimates as well as on assessing the contribution of nutrients to total energy intake. However, a moderate impact was observed in the estimation of nutrient inadequacy prevalence.

Variations in sex ratios estimated from census and survey data in Zambia, 1969-2014.

The sex ratio question has been an area of growing interest in population dynamics, especially in developing countries with respect to the issue of missing women, but few studies have examined this in sub-Saharan Africa. Both at birth and in the general population, sex ratios follow an expected demographic pattern in the absence of the interference of historical events affecting either males or females in a population. In Zambia, an unexpected demographic pattern of sex ratios is exhibited in census and survey data. This study used data from censuses and surveys conducted from 1969 to 2014 to examine variations in sex ratios in the Zambian population. It was found that sex ratio imbalances were largely due to data deficiencies due to age misreporting and under-enumeration. A consistent under-enumeration of young adult males in the 20-34 years age group was found. A systematic pattern of high sex ratios, above 100, for ages 40+ was found, represented by synthetic cohorts traceable from the 1969 census, progressing to the 2000 census and phased out in the 2010 census. Extremely high adult male mortality was found in 2010 in the 35-59 years age group, primarily attributable to HIV/AIDS. Understanding the demographic pattern of sex ratios in a population is relevant for policies to improve the quality of data collection systems, and socioeconomic development planning, for the young age group population, which is prone under-enumeration.