Dietary quality indices vary with sociodemographic variables and anthropometric status among Mexican adults: a cross-sectional study. Results from the 2006 National Health and Nutrition Survey

Ponce, Xochitl Inostroza; Rodríguez‐Ramírez, Sonia; Mundo‐Rosas, Verónica; Shamah, Teresa; Barquera, Sı́món; Cossío, Teresa González de

doi:10.1017/s1368980013002462

Cited by 22 publications

(27 citation statements)

References 45 publications

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“…Previous research has shown that dietary quality is affected not only by gender, but also by education, occupation, and income level [29,46]. In our study, we also found that the DQD scores were associated with these factors.…”

Section: Discussionsupporting

confidence: 83%

“…Previous research has also shown that 68.9% of older Chinese have an over-intake of cereal, with 25.6% of older people consuming an extreme surplus of cereals according to the China Health and Nutrition Study [28]. Energy consumption has decreased with the introduction of a modern lifestyle; dietary guidelines from most countries have either recommended decreasing the total amount of cereal or increasing whole grains [29,30,31,32]. However, dietary behaviors are difficult to change in a short time.…”

Section: Discussionmentioning

confidence: 99%

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Does the Dietary Pattern of Shanghai Residents Change across Seasons and Area of Residence: Assessing Dietary Quality Using the Chinese Diet Balance Index (DBI)

Zang

Zhu

et al. 2017

Nutrients

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Background: Few studies have applied the Chinese Diet Balance Index (DBI) in evaluating dietary quality across seasons. Method: The Shanghai Diet and Health Survey (SDHS) included 1680 participants from all districts of Shanghai from 2012 to 2013. Dietary data were obtained using three-day 24-h recall in spring, summer, fall, and winter. Higher bound score (HBS), lower bound score (LBS) and diet quality distance (DQD) were calculated according to compliance with the dietary guidelines and based on the recommendations for consumption within the main food groups. HBS, LBS, and DQD represent over-intake, under-intake, and overall imbalance of the diet, respectively. Results: 836 males and 844 females were included. The HBS indicated that 10.08%, 11.84%, 10.31%, and 12.73% people have moderate or high levels of over-intake of food in spring, summer, fall, and winter, respectively; and 74.04%, 37.61%, 53.09%, and 42.72% people have moderate or high levels of deficit food intake for each of the four seasons. The mean HBS and LBS among the four seasons were statistically significant difference (p < 0.001). The mean (SD) DQD was 43.27 (10.21), 35.67 (9.71), 39.19 (9.36), and 36.84 (9.45) in each season. A multivariable model showed statistically significant differences in DQD according to age, gender, occupational status, education, smoking, drinking status, season, and residency (p < 0.001). Conclusion: An unbalanced diet is common among people living in Shanghai. Seasonality and area of residence were found to be two significant predictors. Strengthening the accessibility and the supply of food across seasons and regions should be considered.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Does the Dietary Pattern of Shanghai Residents Change across Seasons and Area of Residence: Assessing Dietary Quality Using the Chinese Diet Balance Index (DBI)

Zang

Zhu

et al. 2017

Nutrients

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“…Although their conclusion was that (as for high-income countries) higher SEP individuals had higher quality diets overall, this was a reflection of the superior micronutrient content and diversity of their diets, even though they simultaneously consumed more energy, cholesterol, and saturated fats and fewer fibres [72]. The stage of transition to a more BWestern^diet pattern had an important influence on diet composition relative to SEP.…”

Section: Maternal Dietmentioning

confidence: 92%

A Review of the Relationship Between Socioeconomic Position and the Early-Life Predictors of Obesity

et al. 2015

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A range of important early-life predictors of later obesity have been identified. Children of lower socioeconomic position (SEP) have a steeper weight gain trajectory from birth with a strong socioeconomic gradient in child and adult obesity prevalence. An assessment of the association between SEP and the early-life predictors of obesity has been lacking. The review involved a two-stage process: Part 1, using previously published systematic reviews, we developed a list of the potentially modifiable determinants of obesity observable in the pre-natal, peri-natal or post-natal (pre-school) periods; and part 2, conducting a literature review of evidence for socioeconomic patterning in the determinants identified in part 1. Strong evidence was found for an inverse relationship between SEP and (1) pre-natal risk factors (pre-pregnancy maternal body mass index (BMI), diabetes and pre-pregnancy diet), (2) antenatal/peri natal risk factors (smoking during pregnancy and low birth weight) and (3) early-life nutrition (including breastfeeding initiation and duration, early introduction of solids, maternal and infant diet quality, and some aspects of the home food environment), and television viewing in young children. Less strong evidence (because of a lack of studies for some factors) was found for paternal BMI, maternal weight gain during pregnancy, child sleep duration, high birth weight and lack of physical activity in young children. A strong socioeconomic gradient exists for the majority of the early-life predictors of obesity suggesting that the die is cast very early in life (even pre-conception). Lifestyle interventions targeting disadvantaged women at or before child-bearing age may therefore be particularly important in reducing inequality. Given the likely challenges of reaching this target population, it may be that during pregnancy and their child's early years are more feasible windows for engagement.

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“…In the southern region, for example, coverage of antihypertensive drugs should be expanded to reduce the high prevalence of adults with hypertension who are not undergoing this treatment [71]. On the other hand, the higher prevalence of hypercholesterolemia observed in this study is coupled with low-quality diets with greater energy density in the northern region [85,86]. This could be mitigated by improving the food environment, dietary recommendations, and increasing availability of and adherence to lipid-lowering treatment in this country area.…”

Section: Discussionmentioning

confidence: 85%

Attributable burden and expenditure of cardiovascular diseases and associated risk factors in Mexico and other selected mega-countries

Mendoza-Herrera

Pedroza-Tobías

Hernández-Alcaraz

et al. 2019

Preprint

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Background Cardiovascular diseases (CVD) represent a health and economic threat globally. This paper aims to describe this problem in Mexico and other selected mega-countries through a review of published literature and the exploration of secondary datasets. Method Mega-countries with low (Nigeria), middle (India), high (China/Brazil/Mexico), and very high (the U.S./Japan) human development index (HDI) were included. The review was divided into two topics: prevalence of dyslipidemia and CVD economic impact. Search, screening, and filtering processes were conducted in electronic databases using MeSH terms by one trained researcher. Inclusion and exclusion criteria were considered for eligibility. Methods and results were reported according to the PRISMA statement. Information from datasets on epidemiologic CVD indicators was also extracted. Results Thirty-two studies were eligible. Heterogeneity in economic data and limited nationwide information on dyslipidemias prevalence in some countries were found. Hypertriglyceridemia and hypercholesterolemia were higher in Mexico compared to other countries. Dietary risk factors have a higher contribution on cardiovascular mortality in developing countries: e.g. 8.1-13.8% Mexico, 11.3-13.0% India vs. 0.078-8.9% Japan, 6.5-10.7% the U.S. Probability of dying prematurely from CVD in 2016 was higher in lower HDI countries: 23.3-22.5% (low-middle), 17.0-15.7% (high), and 14.6-8.4% (very high). From 1990-2016, a greater decrease in cardiovascular mortality in developed countries was registered (-56.8% Japan/-11.1% India). In 2015, an expenditure of USD-PPP $11.2 billion due to hypertension, myocardial infarction, atrial fibrillation, and heart failure was reported in Mexico (4% from public health expenditure). CVD ranked first in health care expenditures in almost all these nations and this economic burden is expected to remain significant by 2030, especially in the most populated or developed countries. Conclusions The higher burden of CVD and its significant economic impact, coupled with poor clinical practice and epidemiological surveillance, represents a greater challenge for Mexico and other developing mega-countries. Thus, governments and academia should secure resources to assure an optimal monitoring of cardiovascular risk factors. Educational models and medical practice must be improved to optimize the diagnosis of CVD and the prescription and adherence of their pharmacological and lifestyle treatments. Long-term benefits are expected from strengthening strategies to modify the food system.

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Dietary quality indices vary with sociodemographic variables and anthropometric status among Mexican adults: a cross-sectional study. Results from the 2006 National Health and Nutrition Survey

Cited by 22 publications

References 45 publications

Does the Dietary Pattern of Shanghai Residents Change across Seasons and Area of Residence: Assessing Dietary Quality Using the Chinese Diet Balance Index (DBI)

Does the Dietary Pattern of Shanghai Residents Change across Seasons and Area of Residence: Assessing Dietary Quality Using the Chinese Diet Balance Index (DBI)

A Review of the Relationship Between Socioeconomic Position and the Early-Life Predictors of Obesity

Attributable burden and expenditure of cardiovascular diseases and associated risk factors in Mexico and other selected mega-countries

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