Using an introduced index to assess the association between food diversity and metabolic syndrome and its components in Chinese adults

The association of the healthy food diversity index with the risk of non-alcoholic fatty liver disease among the adult population

BACKGROUND AND AIM

Dietary diversity index is a useful evaluation index for examining the role of dietary pattern in predicting chronic diseases risk, including non-alcoholic fatty liver disease(NAFLD). In the present study, we aimed to examine the possible association of dietary diversity using US Healthy Food Diversity(US HFD) index and the NAFLD risk in Iranian adults.

METHODS

A total of 675 individuals (225 patients with NAFLD and 450 controls) aged 20-60 years were recruited for the current case-control study. Data on dietary intakes were determined using a validated food frequency questionnaire, and dietary diversity was calculated using the US HFD index. In patients with NAFLD, an ultrasound scan of the liver was used to detect NAFLD. Logistic regression models were used to estimate the odds ratios(ORs) and 95 % confidence interval(CI) of NAFLD across tertiles of the US HFD index.

RESULTS

Mean ± SD age of the study population were 38.13 ± 8.85 years. The median (interquartile) score of the US HFD index in patients with NAFLD and healthy subjects was 0.08(0.07-0.09) and 0.09(0.08-0.10), respectively. In the age and sex-adjusted model, the odds of NAFLD were considerably reduced across tertiles of the US HFD index (OR:0.48; 95%CI:0.32-0.72, Ptrend<0.001). Also, in the final model, after adjusting for age, sex, waist-to-hip ratio, smoking, physical activity, marital status, socioeconomic status, and energy intake, the odds of NAFLD were significantly reduced across tertiles US HFD index (OR:0.55; 95%CI:0.31-0.97, Ptrend<0.001). Furthermore, for each SD increase in the US HFD index, the odds of NAFLD are reduced by 23 % (OR:0.77;95%CI:0.60-0.97,P-Value<0.001).

CONCLUSIONS

Our findings revealed that greater adherence to dietary pattern with a high US HFD score, defined by higher intakes of fruits, vegetables, whole grains, legumes, nuts, low-fat dairy, seeds, soya products, and plant oils may be related to reducing the odds of NAFLD.

Most Commonly-Consumed Food Items by Food Group, and by Province, in China: Implications for Diet Quality Monitoring

Dietary quality is of great significance to human health at all country income levels. However, low-cost and simple methods for population-level assessment and monitoring of diet quality are scarce. Within these contexts, our study aimed to identify the sentinel foods nationally and by province of 29 food groups to adapt the diet quality questionnaire (DQQ) for China, and validate the effectiveness of the DQQ using data from the China Health and Nutrition Survey (CHNS). The DQQ is a rapid dietary assessment tool with qualitative and quantitative analysis to determine appropriate sentinel foods to represent each of 29 food groups. Dietary data of 13,076 participants aged 15 years or older were obtained from wave 2011 of CHNS, and each food and non-alcoholic beverage was grouped into 29 food groups of the DQQ. The data were analyzed to determine the most commonly consumed food items in each food group, nationally and in each province. Key informant interviews of 25 individuals familiar with diets in diverse provinces were also conducted to identify food items that may be more common in specific provinces. China's DQQ was finalized based on identification of sentinel foods from the key informant interviews, and initial national results of the quantitative data. Consumption of sentinel foods accounted for over 95% of people who consumed any food item in each food group, at national levels and in all provinces for almost all food groups, indicating the reliability of the sentinel food approach. Food-group consumption data can be obtained through DQQ to analyze dietary diversity as well as compliance with WHO global dietary guidance on healthy diets, providing a low-burden, food-group-based and simple method for China to evaluate diet quality at the whole population level.

Large mid-upper arm circumference is associated with reduced insulin resistance independent of BMI and waist circumference: A cross-sectional study in the Chinese population

BACKGROUND

Body mass index (BMI) is a common indicator in clinical practice, but it is not sufficient to predict insulin resistance (IR). Other anthropometric methods supplement BMI in the assessment of body composition, which can be predicted more accurately. This cross-sectional study aimed to evaluate the association between mid-upper arm circumference (MUAC), triceps skinfold (TSF) thickness, mid-arm muscle circumference (MAMC) and IR in Chinese adults.

METHODS

This cross-sectional study analyzed data from the 2009 China Health and Nutrition Survey database. The study population was divided into four groups according to the MUAC quartiles, and the homeostasis mode assessment was used to evaluate the degree of IR. Logistic regression analysis was performed to calculate odds ratios (ORs) with 95% confidence intervals (CIs), with adjustments for multiple covariates. Subgroup analyses stratified by age, sex, BMI, waist circumference (WC), smoking status, and alcohol consumption were performed.

RESULTS

In total, 8,070 participants were included in the analysis. As MUAC increased, BMI, TSF thickness, MAMC, and the proportion of IR tended to increase. However, we found that there was a significant negative association between MUAC and MAMC and IR in the logistic regression analysis, independent of BMI and WC, the ORs for the highest quartiles compared with the lowest quartiles were 0.662 (95%CI: 0.540-0.811) and 0.723 (95%CI: 0.609-0.860), respectively. There was no significant association was observed between the TSF thickness and IR (OR=1.035 [95%CI: 0.870-1.231]). The inverse associations were more pronounced among participants with lower BMI and WC. No significant age-specific differences were observed (P-heterogeneity > 0.05).

CONCLUSIONS

After adjusting for BMI and WC, MUAC was negatively associated with IR in Chinese adults, and the association between MUAC and IR was derived from arm muscle instead of subcutaneous fat. MUAC could be an additional predictor of IR besides BMI and WC in clinical practice.

A Systematic Review of Diet Quality Index and Obesity among Chinese Adults

Diet quality scores are designed mainly based on Western-style dietary patterns. They were demonstrated to be good indicators of obesity in developed but not developing countries. Several diet quality scores were developed based on the Chinese dietary guidelines, yet no systematic review exists regarding how they were related to obesity. We searched research articles published between 2000 and 2021 in PubMed, CINAHL, and Scopus databases. Both cross-sectional and prospective studies that examined the relationship between a diet quality score and weight, body mass index, obesity, or waist circumference conducted in a Chinese population were selected. From the 602 articles searched, 20 articles were selected (12 are cross-sectional studies and 8 are prospective cohort studies). The relationship between internationally used scores and obesity was inconsistent among studies. Scores tailored to the Chinese diet demonstrated a strong relationship with both being underweight and obesity. The heterogeneity of the populations and the major nutrition transition in China may partially explain the discrepancies among studies. In conclusion, diet quality scores tailored to the Chinese diet may be associated with both undernutrition and overnutrition, as well as being underweight and obesity outcomes.

Assessing the Nutrient Adequacy in China's Food Supply from 1965 to 2018

Nutritional intake has important impacts on human health. A sufficient supply of nutrients is required to ensure high-level nutrition in a population. Assessment of nutrient supply adequacy can help to develop evidence-based policies and thereby promote public health. This study estimates the supply adequacy of nutrients in China's food system from 1965 to 2018 at the national level, aiming to reveal whether the supply of nutrients meets the demand. The results show that the nutrient supply in China's food system has experienced a sharp increase in the past five decades, and the deficiency in nutrient supply has been greatly mitigated. Although most nutrients such as potassium are already sufficiently supplied in China's current food system, some nutrients, especially calcium and zinc, still need a further enlarged supply to improve the nutrition condition of the Chinese population. Besides encouraging a healthy diet, supply-side regulation, e.g., fortification and enrichment, is also needed to improve nutrient availability. This study helps people better understand the development and current situation of nutrient adequacy in China's food supply, thereby providing information and implications for policymakers.

Multiple indicators of household dietary diversity in rural China: Effects of income and dietary knowledge

OBJECTIVE

The aim of this study was to examine the association among family income, dietary knowledge, their interaction, and the multiple household dietary diversity indices (HDDIs), including dietary diversity score (DDS), entropy index (EI), Shannon equitability index (SEI), Herfindahl index (HI), and Simpson index (SI).

METHODS

Based on 24-h dietary recall data collected from 1076 rural households in three provinces of Central China, we calculated HDDIs and compared them according to different levels of income and dietary knowledge. A set of multivariate linear regression were further established and estimated to examine the association among family income, dietary knowledge, and household dietary diversity.

RESULTS

Although the calculation formulas are different, the distributions of the five diversity indices, namely, DDS, EI, SEI, HI, and SI are similar. Family income and dietary knowledge were significantly and positively correlated with various HDDIs (P < 0.01) in addition to HI. Specifically, with a 1-unit (10 000 yuan [US $1545]) income increase, the DDIs respectively changed by 1.70% (DDS), 1.23% (EI), 0.92% (SEI), -0.62% (HI, reverse), and 0.45% (SI). With a 1-point dietary knowledge score increase, the DDIs changed by 0.91% (DDS), 1.33% (EI), 1.29% (SEI), -1.19% (HI, reverse), and 0.81% (SI). The interaction effect of income and dietary knowledge on HDDIs were significantly and negatively correlated with various HDDIs (P < 0.05) in addition to HI.

CONCLUSIONS

The present findings indicated that with an increase in income and dietary knowledge, rural residents in China would consume more diversified foods. There was a substitution effect of family income and dietary knowledge on HDDIs; that is, with an increase in family income, the effect of dietary knowledge on HDDIs would decrease. The findings of this study contributed to a better understanding of issues related to the dietary diversity of rural residents in China in the context of rising income and residents' increasing dietary knowledge.

Association Between Diet Quality and Prevalence of Obesity, Dyslipidemia, and Insulin Resistance Among Filipino Immigrant Women in Korea: The Filipino Women's Diet and Health Study

Objectives: Diet quality may be a key modifiable factor for the prevention of non-communicable disease. We aimed to investigate the association between diet quality and prevalence of obesity, dyslipidemia, and insulin resistance among Filipino immigrant women in Korea.

Methods: A total of 413 participants from the 2014–2016 baseline population of the Filipino Women's Diet and Health Study (FiLWHEL) were examined. Individual dietary intakes were evaluated through 24-h recalls and then converted into two dietary quality assessments: Minimum Dietary Diversity for Women (MDD-W) developed by the Food and Agriculture Organization (FAO) and the Data Derived Inflammation Index (DDII) originally developed by our group. Fasting blood levels of triglycerides, high-density lipoprotein cholesterols, glucose, and insulin were measured. We used logistic regression models for odds ratios (ORs) with 95% confidence intervals (CIs).

Results: We found a statistically significant association between MDD-W scores and decreased prevalence of abdominal obesity; ORs (95% CIs) of the 3rd vs. 1st tertiles were 0.58 (0.36–0.94; p for trend = 0.029). Increased DDII was associated with elevated prevalence of dyslipidemia and insulin resistance; ORs (95% CIs) of the 5th vs. 1–3rd quintiles were 6.44 (2.56–16.20) for triglycerides (TG), 3.90 (1.92–7.90) for low-density lipoprotein (LDL) cholesterol, 3.36 (1.81–6.24) for total cholesterol (TC), 6.25 (2.53–15.41) for abnormal TG/HDL ratios, 3.59 (1.96–6.59) for HbA1c, 2.61 (1.11–6.17) for fasting blood glucose levels, 9.67 (4.16–22.48) for insulin levels, and 9.73 (4.46–21.25) for homeostasis model assessment of insulin resistance (HOMA-IR) (p for trend <0.001 for all, except 0.033 for fasting blood glucose).

Conclusions: Greater dietary diversity was inversely associated with the prevalence of abdominal obesity in Filipino immigrant women. Proinflammatory scores based on diet and lifestyle factors were associated with an increased prevalence of dyslipidemia and insulin resistance. Further, epidemiological studies on the relationship between dietary acculturation and chronic disease are warranted.

Aspects of Dietary Diversity Differ in Their Association with Atherosclerotic Cardiovascular Risk in a Racially Diverse US Adult Population

The study objectives were to measure dietary diversity (DD) of an urban US population and to determine if associations of 10 year atherosclerotic cardiovascular (ASCVD) risk with DD were independent of dietary quality. Participants were drawn from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study, wave 4 (n = 2066, 1259 African Americans (AA), 807 Whites (W). Three DD measures were derived from 2 days of 24 h recall data collected with the USDA automated-multiple-pass-method. Count was based on consumption of at least half an equivalent of food from 21 subgroups. Evenness was calculated using Berry Index (BI) and BI-adjusted by food health values. Dissimilarity was calculated by Mahalanobis Distance. Diet quality was assessed by Mean Nutrient Adequacy (MAR) and DASH scores. Associations of DD and quality with ASCVD risk, calculated using 2013 American College of Cardiology and American Heart Association guidelines, were assessed with multivariable regression. Covariates included income, education, food security, and energy/kg weight. Count and MAR were positively associated whereas dissimilarity was negatively associated with ASCVD risk. There was no evidence that evenness contributed to cardiovascular health. The findings suggest more diversity in food attributes and diets rich in micronutrients rather than increased count support cardiovascular health.