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The study aimed to investigate the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake.

Multi-stage random sampling approach was used to select 321 household members drawn from a total of 80 households. A combination of descriptive and inferential statistics was applied in analysing the data.

The study revealed that household income, dependency ratio, education and gender of household head, among others, are factors that would significantly influence per capita daily calorie and protein intake of households. Protein-energy malnutrition is more of inadequate calorie than protein intake. There was confirmatory evidence of inadequate consumption of calorie among pre-school and school age children, while adult male members seemed to consume the above requirements with the possibility of being at the risk of obesity. Though children were undernourished, they are unlikely to be marasmic.

The study examined the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake. Socio-economic factors influencing per capita calorie and protein intakes as well as the possible risks of protein-energy malnutrition among household members were also examined. The patterns of intake of calorie and protein consumption among household members indicated the possibility of over-nutrition and under-nutrition coexisting among members of the households with over-nutrition and potential risks of obesity in adult males and under-nutrition among pre-school and school age children.

The purpose of this paper is to use data from the 1991 to 2009 China Health and Nutrition Survey (CHNS) to analyze how income in China is related to calorie intake.

The paper employs a variety of parametric, nonparametric, and semiparametric methods for cross-sectional and panel data, and estimates calorie-income elasticities for adults aged 18-60.

The calorie-income elasticities are generally small, ranging from −0.031 to 0.022. In addition, the results show no clear nonlinearity, regardless of whether parametric, nonparametric, or semiparametric approaches are used.

Using a wealth of estimation techniques, including parametric, nonparametric, and semiparametric approaches, this paper addresses some of the main methodological challenges encountered in estimating calorie-income elasticities. The magnitudes of calorie-income elasticities have policy implications especially with regards to the effectiveness of income-mediated policies aimed at combating food insecurity in China.

Food fortification with common kitchen ingredients has been suggested to improve nutritional intake. The purpose of this paper was to systematically review the efficacy of food fortification on calorie and protein intake among older adults.

A systematic search was conducted using Boolean search logic and seven research databases to identify interventions using fortified foods to increase calorie and protein intake among older adults. Ten studies published in English since 1996 were eligible for inclusion. Study quality was evaluated using an adapted Modified Jadad Questionnaire.

Food fortification was associated with increased calorie intake in eight studies, increased protein intake in five studies, and increased body weight in three studies. However, studies were limited by lack of rigor in methodology and small sample sizes.

Food fortification may improve calorie and protein intake, but results are limited by study weaknesses. Additionally, it is unclear whether improved intake results in improved clinical outcomes.

This study estimates the income elasticities of calorie, macronutrients (carbohydrate, protein and fat) and key micronutrients including cholesterol, vitamin A, vitamin C, sodium, potassium, calcium, iron, zinc and insoluble fiber separately for urban and rural adults aged 18–60, using China Health and Nutrition Survey data set from 2004 to 2011.

A semiparametric model, a two-way fixed-effects model and a quantile regression approach are employed to estimate nutrient–income elasticities.

The income elasticities of calorie, protein, fat, cholesterol and calcium are in the range of 0.059–0.076, 0.059–0.076, 0.090–0.112, 0.134–0.230, 0.183–0.344 and 0.058–0.105, respectively. The income elasticity of each of the other nutrients is less than 0.1. The income elasticities of calorie and the majority of nutrients included are larger for rural residents than for urban residents and for low-income groups than for medium- and high-income groups. Overall, in spite of having a relatively small impact, income growth is shown to still have an impact on improving the nutritional status of Chinese adults.

This study estimates nutrient–income elasticities separately for urban and rural adults, expanding the scope of the study regarding the impact of income on the nutritional status in China. Moreover, this study uses a pooled sample generated from the personal food consumption records covering foods consumed at home and away from home during 2004–2011, which is thus likely to more comprehensively reveal the causal relationship between income growth and changes in the nutritional status in China.

This study aimed to determine the relationship between calorie and macronutrients intake and the growth status of Aboriginal children based on gender and age group.

This was a cross-sectional study participated by 85 school-aged Aboriginal children at Labu, Negeri Sembilan. The dietary intake and socioeconomic status data were collected from the parents using an interviewer administrated structured-questionnaire and 24-hour dietary recall. WHO AnthroPlus software was used to determine the z-score of weight for age (WAZ), height for age (HAZ) and body mass index (BMI) for age (BAZ).

The mean fat intake was significantly higher among younger children (i.e. 7–9 years old) as compared to elder children (i.e. 10–12 years old) (40.7 ± 17.3 g vs 32.0 ± 13.8 g; t = 2.496, p = 0.015) but not for the mean intake of calorie (1816.1 ± 979.9 kcal vs 1566.3 ± 808.7 kcal; t = 1.248, p = 0.216), protein (50.13 ± 20.08 g vs 44.94 ± 16.45 g; t = 1.269, p = 0.208) and carbohydrates (198.0 ± 63.0 g vs 190.8 ± 66.1 g; t = 0.513, p = 0.609). The majority of the respondents did not meet recommended nutrient intake (RNI) for the calorie (65.9%) and fat (75.3%). A significantly higher proportion of elder children did not meet RNI for fat as compared to younger children (88.8% vs 65.3%; X² = 6.21, p = 0.021). The HAZ showed that 28.2% (n = 24) of the Aboriginal children were stunted, while WAZ showed that 14.8% (n = 9) of the Aboriginal students were underweight, and 8.2% of them were overweight. Based on BAZ classification, 15.4% (n = 6) of boys and 2.2% (n = 1) of girls were overweight. There is no significant correlation between calories and macronutrients and growth status of the children.

Although the under-nutrition status among Aboriginal children is still a highlighted issue, the few over-nutrition statuses among Aborigines should be taken into count, especially in term of energy and macronutrient intake.

The purpose of this paper is to investigate the relationship between maternal, household and socio-economic characteristics and household food security in Aceh Province, Indonesia.

The data used are cross-section, secondary data from the Economic Census of Indonesia in 2016 (BPS, 2016) from 23 districts/cities. The central message of the present empirical analysis is that relatively simple indicators perform well in locating food security.

The analysis proves that mother’s age has a significant effect on average calorie intake at the household level. This may be due to the fact that mother’s age plays an important role in the provision of proper food to her family. Higher-aged mothers can understand better about the food quality and requirement for the family as compared to low-aged mother. Environmental factors like access to safe water and better sanitation facilities within housing premises indirectly enhance the absorptive capacity of available food intake. Thus, environmental factors could play an important role in food security through calorie intake, irrespective of economic status of the household. This analysis further strengthens the earlier findings that higher food intake availability alone may not lead to improved health outcome, unless measures are taken to improve access to safe water and sanitation. The contribution of dependency ratio in per capita calorie intake also appeared to be significant in this study. This shows that high dependency ratio reduces the per capita calorie intake due to a larger share in food items among households.

No previous study has comprehensively studied the relationship between maternal, household, and socio-economic characteristics and household food security, especially in Aceh, Indonesia.

Calorie restricted diets are known to improve health and promote healthy aging. This happens because of controlled inflammation and metabolism in the body. This study aims to evaluate the differences in anthropometric and biochemical parameters in Sprague Dawley (SD) rats because of consumption of a calorie restricted diet.

The study divided SD rats (n = 15) into 3 groups consuming high calorie intake (HCI), medium calorie intake and low calorie intake (LCI). Anthropometric parameters were determined through measurement of abdominal circumference (AC), thoracic circumference (TC), body length and body weight (BW). Biochemical parameters analyzed in this study were fasting blood glucose level and full blood lipid profile. Nutritional status was obtained based on food consumption, energy intake (EI) and food efficiency rate. Measurements were taken for a period of four weeks.

Analysis on anthropometric parameters indicates a significant difference in mean BW between HCI (230.44 ± 1.47 g) and LCI (188.54 ± 1.50 g). There is a significant difference in abdominal TC ratio (p < 0.001; F = 13.599) in the LCI group (1.01 ± 0.00714) compared to the HCI group (1.04 ± 0.00858). Post hoc for nutrition parameters indicates a significant difference in mean EI between HCI (9.71 ± 0.006 kJ) and LCI (3.21 ± 0.001 kJ). There is a significant effect (p < 0.0001; F = 3042872.02) of EI on rats in all three groups. HDL levels were significantly higher (p < 0.0001; F = 1536.89) in the LCI group (68.60 ± 0.55 mg/dL) compared to the HCI group (49.40 ± 0.55 mg/dL). The Pearson’s correlation results show a strong positive correlation in EI with BW (p < 0.01; r = 0.988), AC (p < 0.01; r = 0.970) and body mass index (p < 0.01; r = 0.972).

Low calorie diet has been proven to affect anthropometric development and has shown improvements in biochemical parameters of the rats. This may result in healthy aging which could prevent later-life diseases.

The COVID-19 pandemic has profound implications on the food and nutritional security of millions of households. The study assessed the impacts of the COVID-19 pandemic on diet diversity, calorie consumption and intake of essential nutrients based on the gender of the households.

Mixed-design ANOVA and logistic regression were used to analyze the collected data from 260 female- and 463 male-headed households through an online survey in Pakistan.

The outcomes revealed that the diet diversity of female households was affected more due to the COVID-19 compared to male households. The decline in daily nutrients' (protein, phosphorus, zinc, iron and iodine) intake during the COVID-19 was also greater for female-headed households than male-headed households. The share of all food groups in daily calorie and nutrient provision decreased significantly during the COVID-19 for both types of households. The share of meat and meat products declined more for female-headed households compared to male-headed households. The share of perishable commodities in calorie provision to female and male households decreased 2% during the COVID-19 compared to the normal period. Small- and medium-sized female and male households were less likely to experience worsened diet diversity than large-sized households during the COVID-19. Low-income compared to medium- and high-income female and male households were more likely to report declined food diversity during the COVID-19.

The data used in this study were collected through an online survey due to public health measures imposed in the country.

Despite the emergence of literature on the implications of the pandemic on food security, the studies related to the gender-based impacts of COVID-19 on diet diversity and nutritional intakes of necessary nutrients are still non-existent. The current study will add to the literature by filling this gap.

While the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is to provide new insights into the non-market outcomes by exploring how education influences the food consumption choices of households and how these effects vary across different socio-economic groups using household-level calorie consumption data from Sri Lanka.

This study uses two waves of Household Income and Expenditure Surveys – 2006/2007 and 2016. The methods adopted in analysing the data were descriptive statistics and the OLS regression model.

The empirical results show that educated poor households pay less per calorie compared to non-educated poor households, highlighting the role of education in improving the ability to make better food choices and manage household budgets more economically.

This study informs policy-makers of the importance of education for formulating food and nutritional policies, which aim to raise the standard of living of resource-poor and vulnerable households in Sri Lanka as well as other developing countries with similar socio-economic conditions.

To the best of the authors' knowledge, this study is the first to explore the impact of education on the calorie consumption behaviour of people in the Sri Lankan context using nationwide household surveys.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2022-0007

The purpose of this study is to explore the association between intake of different types of dietary fats with breast cancer (BC) risk in Iranian women.

A total of 540 women (180 women with BC and 360 healthy women) were recruited from Shohadaye Tajrish hospital, Tehran, Iran. Data on anthropometric measurements, physical activity, smoking and alcohol consumption were collected. The food frequency questionnaire was used to assess the intake of fatty acids including saturated fatty acids, mono unsaturated fatty acids, poly unsaturated fatty acids, macronutrients, total fat, cholesterol, and calorie.

The cases had significantly higher BMI (29.19 ± 3.2 vs 27.27 kg/m2 ± 2.8) and higher intake of calorie (2737 ± 925 vs 2315 ± 1066 kcal/d, P = 0.01), carbohydrate (402 ± 125 vs 312 ± 170 kcal/d, P = 0.01) and ω−6 fatty acids (5.45 ± 6.9 vs 3.39 ± 0.59 g/d, P = 0.001) compared to the control group . Higher consumption of ω−6 fatty acids was related with higher risk of BC (OR = 5.429, CI95%:2.5–11.79, P = 0.001) The association between BC and intake of omega-6 fatty acids remained significant after adjustments for age, BMI, for using alcohol drinks, smoking, physical activity, calorie intake, protein intake and carbohydrate intake.

There are insufficient studies to investigate the association of different types of fatty acids with BC. This study found that higher omega-6 fatty acids intake was associated with increased risk of BC in women.