Dietary Patterns and Determinants of Changing Diets in Bangladesh from 1985 to 2010

Commonly consumed processed packaged foods in Bangladesh are unhealthy and their nutrient contents are not in conformity with the label declaration

The present study was undertaken to identify the major nutrient content in processed foods commonly consumed in Bangladesh, their label conformity healthiness, and percent daily nutrient contribution. Twenty-four nationally representative composite samples were analyzed using AOAC and other standard methods. Results were compared with label information using a restrictive approach and EU tolerance guidelines. The healthiness of the products was evaluated in terms of the Health Star Rating (HSR) scheme and the UK traffic light labeling system. Among the analyzed samples, fried pulse, chanachur, lozenge, and fried peas had the highest amount of protein, fat, carbohydrates, and dietary fiber, respectively. Biscuits and milk chocolate had high levels of trans fatty acids (TFA) and saturated fatty acids (SFA). It was observed that around half of the products lacked information about saturated fatty acid (46%), followed by total dietary fiber and trans-fat (38% each). Other information was missing in one-fifth of the products, namely protein (17%), total fat (17%), available carbohydrate (17%), energy (17%), sugar (21%), and salt (21%). Label compliance analysis according to the restrictive approach revealed that none of the products accurately reported the salt, sugar, saturated fat, and trans fat content on the label. According to the EU tolerance guideline, approximately half of the products had protein (58%), fat (54%), and carbohydrate (42%) levels that fell within the EU tolerance limit. However, only around one-third of the samples had sugar (21%), salt (38%), and saturated fat (33%) levels that met the EU tolerance limit. In terms of healthiness analysis, according to the HSR, the range of stars was between 0.5 and 2.5 of the foods where fried peas got the highest rating (2.5 stars), while in terms of the UK traffic light system, none of the samples got all green signals. The lozenge got green lights for fat, SFA, and salt contents. It was also found that consumption of 100 g of fried peas or pulse would exceed the acceptable daily limit of salt, sugar, and SFA compared to the daily maximum allowable intake for the 2000 kcal diet recommended by the WHO. However, according to the serving size, biscuits were major contributors of TFA, sugar, and SFA, whereas fried pulse was a key contributor of sodium/salt. Proper regulatory actions should be introduced to promote healthy processed foods with user-friendly front-of-the-pack labeling and monitor their quality to prevent non-communicable diseases (NCDs).

Impact of a Homestead Food Production Program on Dietary Diversity: Seasonal and Annual Results from the Cluster-Randomized FAARM Trial in Sylhet, Bangladesh

BACKGROUND

Rice-predominant diets are common in Bangladesh, leading to widespread nutritional deficiencies. The Food and Agricultural Approaches to Reducing Malnutrition (FAARM) cluster-randomized controlled trial in rural Sylhet, Bangladesh evaluated a homestead food production intervention implemented 2015-2018 through Helen Keller International, aiming to improve child growth.

OBJECTIVES

We estimated the intervention's impact on women's and children's dietary diversity, a secondary trial objective.

METHODS

We collected dietary diversity throughout the trial (March 2015 to June 2020) at multiple times each year using standard, United Nations-endorsed, self-reported measures for women (10-food group scale) and children (7-food group scale). We included 28,282 observations of 2701 women (out of 2705 enrolled) and 17,445 observations of their 3257 children (aged 6-37 mo) in 96 settlements, 48 of which received the intervention. We estimated the intervention's impact on dietary diversity by year of intervention, overall periods following the start of the intervention, and seasonally, using multilevel regression with the control group as the counterfactual, controlling for seasonality, baseline dietary diversity, and clustering by settlement and repeated measures.

RESULTS

At baseline, approximately one-third of women and children consumed a minimally diverse diet. Over the entire intervention and postintervention period, women's and children's odds of consuming a minimally diverse diet nearly doubled (odds ratio [OR] 1.8, P < 0.001, for both). This benefit was barely present in the first year, increased in the second, and peaked in the last intervention year (OR 2.4 for women, OR 2.5 for children, both P < 0.001) before settling at around double the odds in postintervention years (P < 0.001). Dietary improvement was observed throughout the year for both women and children with incremental increases in nearly all food groups.

CONCLUSIONS

The nutrition-sensitive agriculture intervention successfully increased dietary diversity in women and children, and these impacts persisted after the project closed, including during the early COVID 19 lockdown period. This trial was registered at clinicaltrials.gov as NCT02505711.

Nutritional value of the marine fish in Bangladesh and their potential to address malnutrition: A review

Marine fish are good source of essential macro- and micronutrients and major food items in coastal areas in Bangladesh. However, there is no review that details the nutritional value of marine fish in Bangladesh. Therefore, this review focuses on the nutrient composition of marine fish in Bangladesh and how the marine fish can address common nutrient deficiencies among women and children. Nutrient composition data was collected through literature searching in databases and source, including PubMed, Web of Science, Google Scholar, ScienceDirect, WorldFish, and Bangladesh-based database Banglajol. Calculation was carried out to present how one serving marine fish could potentially meet the daily requirement of protein, iron, zinc, calcium, vitamin A, and docosahexaenoic acid (DHA) for pregnant and lactating women and children aged 6-23 months. A total of 97 entries covering nutrient composition analysis of 67 individual fish species were extracted from 12 articles published between 1993 and 2020. Included articles contained analysis of proximate composition, vitamins, minerals, fatty acids, and amino acid. Twelve minerals and nine vitamins were analyzed and reported. The average energy, protein, fat, and ash content per 100 g edible raw marine fish was 343.58 kJ, 16.76 g, 4.16 g, and 2.22 g, respectively. According to available data, marine fish are good sources of protein, zinc, calcium, and DHA. Pelagic small fish, which are mainly captured by artisanal small-scale fishers, had more nutritional value than other categories of fish. Furthermore, marine small fish were found more nutritious than commonly consumed freshwater fish types in Bangladesh, including major carps, introduced carps, and tilapia. Therefore, the study concludes that marine fish have high potential to address malnutrition in Bangladesh. There was scarcity of literature regarding the nutrient composition of marine fish in Bangladesh and in South Asia as a whole, so more comprehensive quality research in this area is recommended.

Impact of a livelihood promotion program on income generation and food consumption among ultra-poor households in rural Bangladesh

Background

Bangladesh has achieved notable economic progress in recent decades while economic inequality increased. Special attention is warranted on the ultra-poor population of the country. An 18 month-long economic development program, designed based on an ultra-poor graduation approach, was implemented to alleviate poverty and improve child nutrition in rural Bangladesh.

Objective

The study examined the impact of livelihood components of an economic development program on outcomes related to poultry/crop production, consumption, and income generation among the ultra-poor throughout quarterly follow-ups.

Methods

This secondary data analysis used the monitoring records of 2960 poor or ultra-poor households receiving assets of (1) 9–26 ducks (n = 2125), (2) 11 chickens (n = 872), and/or (3) vegetable seeds (n = 2407). Data measuring the production of assets, income generation, and consumption of assets were collected quarterly throughout 2019. To examine a one-year-long trend in participation, production, income generation, and consumption of assets, a one-way analysis of variance was conducted across the follow-ups. Additional analyses of annual income and consumption comparing duck and chicken groups were performed using linear regression models.

Results

The number of poultry assets per household decreased between the April– June and July–Sep follow-ups, while consumption of poultry and vegetable assets increased during the monsoon season (p < 0.001 for all). The vegetable production reflected seasonal fluctuations, where the lowest production and income were reported during the monsoon and pre-monsoon seasons. We observed increasing voluntary adoption of poultry farming among the non-asset group for both duck and chicken over the follow-ups (p < 0.001 for all). The households provided with duck assets gained a greater mean annual income compared to the households provided with chicken assets.

Conclusions

Our findings highlight opportunities for strengthening the ultra-poor graduation approach on livelihood promotion in future scale-up in rural Bangladesh.

Trends and Inequities in Food, Energy, Protein, Fat, and Carbohydrate Intakes in Rural Bangladesh

BACKGROUND

Tracking dietary changes can inform strategies to improve nutrition, yet there is limited evidence on food consumption patterns and how disparities in food and nutrient intakes have changed in Bangladesh.

OBJECTIVES

We assessed trends and adequacies in energy and macronutrient intakes and evaluated changes in inequities by age group, sex, and expenditure quintile.

METHODS

We used panel data from the 2011 and 2018 Bangladesh Integrated Household Survey (n = 20,339 and 19,818 household members aged ≥2 y, respectively). Dietary intakes were collected using 24-h recall and food-weighing methods. Changes in energy and macronutrient intakes were assessed using generalized linear models and adjusted Wald tests. Inequities in outcomes were examined by age group, sex, and expenditure quintile using the Slope Index of Inequality and Concentration Index.

RESULTS

Between 2011 and 2018, dietary diversity improved across sex and age groups (30-46% in children, 60-65% in adolescents, 37-87% in adults), but diets remain imbalanced with ∼70% of energy coming from carbohydrates. There were declines in intakes of energy (3-8%), protein (3-9%), and carbohydrate (9-16%) for all age groups (except children aged 2-5 y), but an increase in fat intake (57-68% in children and 22-40% in adults). Insufficient intake remained high for protein (>50% among adults) and fat (>80%), whereas excessive carbohydrate intake was >70%. Insufficient energy, protein, and fat intakes, and excessive carbohydrate intakes, were more prevalent among poor households across survey years. Inequity gaps decreased for insufficient energy intake in most age groups, remained stable for insufficient protein intake, and increased for insufficient fat and excessive carbohydrate intakes.

CONCLUSIONS

Despite improvements in dietary diversity, diets remain imbalanced and inequities in insufficient energy, protein, and fat intakes persist. Our findings call for coherent sets of policies and investments toward a well-functioning food system and social protection to promote healthier, more equitable diets in rural Bangladesh.

Differential Overlap in Human and Animal Fecal Microbiomes and Resistomes in Rural versus Urban Bangladesh

While the development of antibiotic resistance in animal gut microbiomes and subsequent transmission to humans has been demonstrated in intensive farming environments and high-income countries, evidence of zoonotic exchange of antibiotic resistance in LMIC communities is lacking. This research provides genomic evidence of overlap of antibiotic resistance genes between humans and animals, especially in urban communities, and highlights chickens as important reservoirs of antibiotic resistance.

Spatial Differences in Diet Quality and Economic Vulnerability to Food Insecurity in Bangladesh: Results from the 2016 Household Income and Expenditure Survey

The study explored the spatial differences in diet quality and economic vulnerability to food insecurity with the association of sociodemographic characteristics at the household level in Bangladesh. This study was a secondary data analysis of Household Income and Expenditure Survey (HIES) data of 2016. Both statistical and spatial analyses were applied while assessing diet qualities in terms of the household dietary diversity score (HDDS), percentage of food energy from staples (PFES), and percentage of expenditure on food (PEF) as an indicator of the economic vulnerability to food insecurity (EVFI). The study’s findings revealed that the quality of people’s diets worsened as they moved from urban to rural area, and EVFI increased as they moved from the center to the periphery of the country. Nationally, the average HDDS was about 6.3, and the average PFES per household per day was about 70.4%. The spatial distribution of HDDS and PFES showed that rural regions in terms of settlements and the north, northwest and southeast regions had mostly low diet diversity. Besides, the average PEF per household per day was about 54%, with the highest in Mymensingh (57.4%) and the lowest in Dhaka division (50.2%). The average PEF in the households illustrated was highest in rural (55.2%) and lowest in the city (45.7%). Overall, based on the PEF at the sub-district level, the medium level of vulnerability comprised the highest share (69%) in Bangladesh. Age, gender, literacy, educational qualification and religion of the household’s head along with the number of earners, monthly income, area of settlements and divisions were significantly correlated with HDDS, PFES and EVFI. The study findings suggest that targeted interventions, including access to education, women empowerment and employment generation programs should be implemented in peripheral areas (north, northwest and southeast) to increase diet quality and minimize economic vulnerability to achieve sustainable food and nutrition security in Bangladesh.

The Association Between Bangladeshi Adults' Demographics, Personal Beliefs, and Nutrition Literacy: Evidence From a Cross-Sectional Survey

Background

Poverty and health illiteracy, combined with inappropriate systems to track disease and infection rates, contribute to children-and-mothers' poor adherence to nutrient-rich foods intake in Bangladesh. Although risk factors for child and pregnant women malnutrition have been explored, the relationship between Bangladeshi adults' nutrition literacy and their demographics and personal beliefs remains unknown. The purpose of this study was to examine the association between adults' nutrition literacy, demographics and personal beliefs in a large sample of Bangladeshi adults.

Methods

Four hundred adults from two districts (Dhaka and Chattogram) of Bangladesh participated in a cross-sectional survey. Data were collected by interviews using a structured questionnaire containing the Nutrition Literacy Scale. Multiple linear regression models were employed to analyze associations between nutrition literacy and related factors.

Results

The mean nutrition literacy score was 21.6 (SD: 3.7; range: 11-32) on a scale of 32. Multiple linear regression revealed that being a businessman (β = 1.66, p = 0.013) or private employee (β = 1.08, p = 0.030), having a higher family income (β = 1.17, p = 0.009), and a higher educational level were positively associated with higher nutrition literacy scores compared to their counterparts. Participants who had ever completed a nutrition-related course (β = 4.95, p < 0.001), and who perceived themselves as having a need for accessing nutrition-related information were positively associated with the higher nutrition literacy compared to their counterparts.

Conclusion

Findings from this study suggest the need for an integrated response plan involving educational interventions and accessible dietary plans targeting adult populations to enhance their nutritional literacy.

Dietary Intake of Adult Residents in Luxembourg Taking Part in Two Cross-Sectional Studies-ORISCAV-LUX (2007-2008) and ORISCAV-LUX 2 (2016-2017)

Background: A balanced diet is an important lifestyle component and has been associated with a reduced risk of chronic diseases. Objectives: To assess dietary intake of adult residents in Luxembourg taking part in two population-based cross-sectional studies (ORISCAV-LUX, 2007–2008 and ORISCAV-LUX 2, 2016–2017). Methods: Dietary intake of the study participants (1242 in 2007/08 and 1326 in 2016/17), 25–69 years old, were evaluated using food-frequency questionnaires (134 items in 2007/2008 and 174 items in 2016/2017) according to the French ANSES-CIQUAL food composition database. Both food-group- and nutrient-based analyses were conducted. Results: Dietary patterns in ORISCAV-LUX 2, 2016–2017, were characterized by an increase in the estimated marginal means (EMM) of the intake of energy, total fat, saturated fatty acids, alcohol, and decreased EMM of total carbohydrates, magnesium, and calcium compared to 2007/08. We also observed an increased EMM of the intake of protein-rich food items and ready-to-eat foods/fast foods, together with a decreased intake of grains, dairy products, and vegetables (all p-values <0.05, linear mixed models). The intake of most micronutrients was stable or slightly increased in ORISCAV-LUX 2 vs. ORISCAV-LUX, except for the drop in magnesium and calcium, and generally met recommendations, in particular, EFSA population reference intakes (PRI), except for vitamin D. Conclusions: Though most micronutrient recommendations were met, nutrient consumption in terms of high energy, total fat, and sodium, as well as low carbohydrates, were not aligned with recommendations for balanced eating.

Demographic and socio-economic shifts partly explain the Martinican nutrition transition: an analysis of 10-year health and dietary changes (2003-2013) using decomposition models

OBJECTIVE

The Caribbean has seen a dramatic shift in the obesity and chronic disease prevalence over the past decades, suggesting a nutrition transition. Simultaneously, Martinique has faced a demographic transition marked by significant population ageing. We aimed to differentiate the contribution of changes in health status and dietary intakes due to shifts in demographic and socio-economic characteristics (DSEC) from that due to unobserved factors.

DESIGN

Two cross-sectional surveys conducted in 2003 (n 743) and 2013 (n 573) on representative samples were used. Dietary intakes were estimated by 24-h recalls. The contribution of changes in health status and dietary intakes due to shifts in observed DSEC was differentiated from that due to unobserved factors over a 10-year interval, using Oaxaca-Blinder decomposition models.

SETTING

Martinique, French region in the Caribbean.

PARTICIPANTS

Martinican adults (≥16 years).

RESULTS

Over the study period, health status deteriorated, partly owing to shifts in DSEC, explaining 62 % of the change in the prevalence of hypertension (+13 percentage points (pp)) and 48 % of waist circumference change (+3 cm). Diet quality decreased (mean adequacy ratio -2pp and mean excess ratio + 2 pp) and energy supplied by ultra-processed food increased (+4 pp). Shifts in DSEC marginally explained some changes in dietary intakes (e.g. increased diet quality), while the changes that remained unexplained were of opposite sign, with decreased diet quality, lower fruits, tubers and fish intakes and higher energy provided by ultra-processed foods.

CONCLUSION

Explained dietary changes were of opposite sign to nutrition transition conceptual framework, probably because unobserved drivers are in play, such as food price trends or supermarkets spread.

Characteristics of Distinct Dietary Patterns in Rural Bangladesh: Nutrient Adequacy and Vulnerability to Shocks

Food security in Bangladesh has improved in recent years, but the country is now facing a double burden of malnutrition while also being highly vulnerable to climate change. Little is known about how this may affect food supply to different sectors of the population. To inform this, we used a national dietary survey of 800 rural households to define dietary patterns using latent class analysis. Nutrient adequacy of dietary patterns and their potential vulnerability to climate shocks (based on diversity of calorie sources) were assessed. We fitted mixed effects logistic regression models to identify factors associated with dietary patterns. Four dietary patterns were identified: rice and low diversity; wheat and high diversity; pulses and vegetables; meat and fish. The wheat and high diversity and meat and fish patterns tended to be consumed by households with higher levels of wealth and education, while the rice and low diversity pattern was consumed by households with lower levels of wealth and education. The pulses and vegetables pattern was consumed by households of intermediate socio-economic status. While energy intake was high, fat and protein intake were suboptimal for all patterns except for the wheat and high diversity pattern. All patterns had fruit and vegetable intake below the WHO recommendation. The wheat and high diversity pattern was least vulnerable to shocks, while the rice and low diversity pattern was the most vulnerable, relying mainly on single cereal staples. The diets showed "double vulnerability" where the nutrient inadequate patterns were also those most vulnerable to shocks.

Divergence and agreement on nutrient intake between the two food composition tables of Bangladesh

In Bangladesh, two food composition tables (FCTs) were published over two consecutive years, in 2012 and in 2013. When different databases are used to calculate nutrient intakes, assessment of divergence and agreements is required. This study aimed to compare the differences in nutrient intakes, to assess the similarities in nutrient intakes between the two FCTs, and to explore the factors that cause the difference in nutrient intakes, if any. A total sample of 40 households was taken from the Household Income Expenditure Survey of 2010. Adult male equivalent (AME) units were used to estimate weighted average intake. Weighted k statistics were used to assess agreements between the two FCTs. Although median intake of energy and energy-yielding nutrients (protein, fats, and carbohydrates) were found statistically significant between the two databases, the differences were not large enough to have practical significance. Excellent agreements were found in energy and carbohydrates with good for fats and fair for protein. However, statistically significant median percent differences were seen in beta carotene (441%), vitamin B6 (153%), and folate (129%), vitamin C (106%), zinc (101%), and iron (41%) intakes. For thiamin, iron, calcium, and phosphorous, more than 50% of the subjects were found in the same quintile, whereas nine out of 15 vitamins and minerals were misclassified into the opposite quintiles (≥10%). Fair agreements were found for most of the micronutrients. Variations in analytical methods and sources of nutrient information were the main contributing factors for actual differences. FCT data should be interpreted with caution, especially for micronutrients.

Sociodemographic and Regional Determinants of Dietary Patterns in Russia

An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25-64 years old from a Russian multicenter study of "Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation" conducted in 2013-2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as "Rational", "Salt", "Meat", and "Mixed"; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.