Sex Differences in Dietary Patterns of Adults and Their Associations with the Double Burden of Malnutrition: A Population-Based National Survey in the Philippines

Rural-urban migration dynamics and double burden of malnutrition among women across 29 low and middle income countries

The double burden of malnutrition (DBM) is a significant public health issue in low- and middle-income countries (LMICs), resulting from complex socioeconomic, demographic and nutrition transitions. This study examined the association between internal migration and DBM among women across LMICs, focusing on direction, recency, and age at migration. Using the latest Demographic and Health Survey (2010-2023), data on body mass index, migration status, and covariates were extracted from 232,449 women aged 15-49 years in 29 countries. Migration status was categorised as urban non-migrants, rural non-migrants, urban-to-rural, or rural-to-urban based on prior and current residences. Recency and age at migration were categorised as recent/non-recent (within the last five years or earlier) and childhood/adulthood (before or after age 19). Multinomial multivariable logistic regressions were used to estimate odds ratio for each migrant groups relative to urban and rural non-migrants, respectively. Further analyses examined the association between DBM and recency, and age at migration, among migrants. Overall, 32.1 % of women were overweight/obese while 9.7 % were underweight. Urban-to-rural migrants accounted for 9.5 % of the sample, and rural-to-urban migrants constituted 7.0 %. Rural-to-urban migrants had 21.0 % higher odds of being overweight/obese (95 % CI: 1.15-1.29) compared to rural non-migrants. Urban-to-rural migrants showed 9.0 % lower odds of being underweight (95 % CI: 0.85-0.99) compared to urban non-migrants. Among migrants, recency of migration and age at migration were found to be significantly associated with DBM. This study emphasises the need for targeted public health strategies to enhance immediate and distal determinants of DBM in urban and rural settings in LMICs.

Relative validity of an intelligent ordering system to estimate dietary intake among university students from a medical school in Shanghai, China

BACKGROUND

Dietary assessment methods have limitations in capturing real-time eating behaviour accurately. Equipped with automated dietary-data-collection capabilities, the "intelligent ordering system" (IOS) has potential applicability in obtaining long-term consecutive, relatively detailed on-campus dietary records among university students with little resource consumption. We investigated (1) the relative validity of IOS-derived nutrient/food intakes compared to those from the 7-day food diary (7DFD); (2) whether including a supplemental food frequency questionnaire (SFFQ) improves IOS accuracy; and (3) sex differences in IOS dietary intake estimation.

METHODS

Medical students (n = 221; age = 22.2 ± 2.4 years; 38.5% male and 61.5% female) completed the 7DFD and SFFQ. During the consecutive 7-day survey period, students weighed and photographed each meal before and after consumption. Then, students reviewed their 3-month diet and completed the SFFQ, which includes eight underprovided school-canteen food items (e.g., dairy, fruits, nuts). Meanwhile, 9385 IOS dietary data entries were collected. We used Spearman coefficients and linear regression models to estimate the associations among the different dietary intake assessment methods. Individual- and group-level agreement was assessed using the Wilcoxon signed-rank test, cross-classification, and Bland‒Altman analysis.

RESULTS

IOS mean daily energy, protein, fat, and carbohydrate intake estimations were significantly lower (-15-20%) than those of the 7DFD. The correlation coefficients varied from 0.52 (for added sugar) to 0.88 (for soybeans and nuts), with fruits (0.37) and dairy products (0.29) showing weaker correlations. Sixty-two (milk and dairy products) to 97% (soybeans and nuts) of participants were classified into the same or adjacent dietary intake distribution quartile using both methods. The energy and macronutrient intake differences between the IOS + SFFQ and 7DFD groups decreased substantially. The separate fruit intake measurements from each assessment method did not significantly differ from each other (p > 0.05). IOS and IOS + SFFQ regression models generally yielded higher R2 values for males than for females.

CONCLUSION

Despite estimation differences, the IOS can be reliable for medical student dietary habit assessment. The SFFQ is useful for measuring consumption of foods that are typically unavailable in school cafeterias, improving the overall dietary evaluation accuracy. The IOS assessment was more accurate for males than for females.

Metabolic syndromes increase significantly with the accumulation of bad dietary habits

BACKGROUND

The association between dietary habits and metabolic syndrome (MetS) has not been well documented, due to the complexity and individualization of dietary culture in the Chinese population.

OBJECTIVE

To construct a composite score from various bad dietary habits and to evaluate their comprehensive association with the prevalence of MetS and its components among Chinese men and women across various age groups.

SETTING

Serial cross-sectional studies.

METHODS

Twenty-three dietary habits were assessed through face-to-face interviews with 98,838 males and 83,099 females in health check-up programs from 2015 to 2021, among which eighteen bad dietary habits were observed to be associated independently with total MetS. The total score of bad dietary habits was composed of four categories via variable clustering analysis, including irregular dietary habits, unhealthy dietary flavors, unbalanced dietary structure, and high-fat diet. The 2016 Chinese guideline for the management of dyslipidemia in adults was used to define MetS.

RESULTS

Men had a higher score of bad dietary habits than women (9.63 ± 3.11 vs. 8.37 ± 3.23), which decreased significantly with increasing age in both males and females (Pinteraction<0.01). The prevalence of total MetS increased significantly with the cumulative score of bad dietary habits in both males (highest quintile vs. lowest quintile: OR, 1.90; 95% confidence interval [CI], 1.80-2.00; Plinear<0.01) and females (OR, 2.23; 95% CI, 2.02-2.46; Plinear<0.01) after adjusted for age, education, smoking status, alcohol consumption, and physical activities. These linear trends were also observed for each MetS component (all Plinear<0.01). The role of irregular dietary habits and high-fat diet on MetS prevalence are much higher in males than in females, while unhealthy dietary flavors and unbalanced dietary structure had a greater influence on females.

CONCLUSIONS

The accumulation of bad dietary habits contributes to the MetS developments. Thus, individualized lifestyle interventions are needed to correct bad dietary habits with regard to gender differences.

Dietary Patterns and Nutritional Value in Non-Communicable Diseases

Non-communicable diseases (NCDs) constitute the leading cause of mortality worldwide, with the four major contributors being cardiovascular diseases (CVDs), cancers, respiratory diseases, and diabetes [...].

Burden and trends of stroke attributable to dietary risk factors from 1990 to 2019 in the Belt and Road Initiative countries: an analysis from the global burden of disease study 2019

Objectives

This study aimed to compare the burden and trends of stroke attributed to dietary risk factors in the Belt and Road ("B&R") countries from 1990 to 2019.

Methods

The 2019 Global Burden of Disease (GBD) Study was used to gather information on the burden of stroke attributable to dietary risk factors. Numbers and age-standardized rates (ASRs) of deaths, disability-adjusted life years (DALYs) were determined in 1990 and 2019 among the "B&R" countries. The average annual percent change (AAPC) was used to analyze the temporal trends of diet-induced stroke DALYs from 1990 to 2019 and in the final decade (2010-2019) by Joinpoint regression analysis.

Results

In 2019, the absolute number of stroke deaths and DALYs attributable to dietary risk factors were 671,872 cases (95% UI 436,354-937,093) and 1.67 million cases (95% UI 1.15-2.24) in China. We found geographical differences in mortality and DALYs of diet-attributable stroke among member countries, with Bulgaria, Hungary and Serbia being the three highest countries in 1990, Bulgaria, North Macedonia and Montenegro in Central Asia in 2019. The ASRs of diet-induced stroke mortality and DALYs were generally declining in most member states from 1990 to 2019, however, the corresponding metrics in Mongolia remained high. The fastest decline in ASR of mortality and DALYs for diet-induced stroke was seen in Estonia, Eastern Europe, with AAPC values of -7.09% (95%CI: -7.72, -6.46%) and - 6.62% (95%CI: -7.20, -6.03%), respectively. We noted a substantial downward trend in ASR of mortality and DALYs from diet-induced stroke changes in the final decade (2010-2019) for most member states. The ASR of DALYs for diet-induced stroke decreased greater in females than in males. For those aged 50-74, the DALYs for stroke due to dietary risk factors in all other member countries of the "B&R" showed a decreasing trend, except for the Philippines, which rose (AAPC = 2.13, 95%CI: 1.40-2.87%) and Turkmenistan, which remained stable (AAPC = 0.05, 95%CI: -0.43-0.33%).

Conclusion

The burden of diet-induced stroke varies substantially across "B&R" countries and threaten public health, relevant evidence-based policies and interventions should be adopted to address the future burden of stroke in "B&R" countries through extensive collaboration.