Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study

Spatial clustering of overweight/obesity among women in India: Insights from the latest National Family Health Survey

BACKGROUND

Overweight/obesity has become global health concern with increasing prevalence. This study examined district-level disparities and spatial clustering of overweight/obesity among women of reproductive age (WRA) in India using the latest National Family Health Survey-5 (2019-2021) data.

METHOD

Information of 623,656 women aged 15 to 49 from the NFHS-5 (2019-2021) were analysed in this study. The outcome variable was BMI as classified by the world health organisation (WHO). Utilising Global Moran's I, Anselin's Local Moran's I, and spatial regression models spatial clustering and associated factors were analysed.

RESULT

The study found that 24% (95% CI: 23.8-24.3) of WRA in India were overweight/obese in 2019-21. The prevalence was greatest in Punjab (41%) and lowest in Meghalaya (11%). Additionally, the Global Moran's I value for the outcome variable was 0.73, indicating a positive spatial autocorrelation in the overweight/obesity. Districts of Tamil Nadu, Andhra Pradesh, Karnataka, Kerala, Telangana, Punjab, Himachal Pradesh, Jammu & Kashmir, Haryana, and Delhi were hotspots of overweight/obesity. Several factors of overweight/obesity among WRA were identified, including place of residence (β: 0.034, p: 0.011), parity (β: 0.322, p: 0.002), social group (β: -0.031, p: 0.016), religion (β: -0.044, p: <0.001), household wealth status (β: 0.184, p: <0.001), mass-media exposure (β: 0.056, p: 0.031), and diabetes (β: 0.680, p: <0.001).

CONCLUSION

The study emphasizes the importance of targeted interventions and region-specific strategies, while also stressing the need to address associated factors to develop effective public health initiatives aimed at reducing overweight/obesity prevalence among WRA in India.

The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China

BACKGROUND

This study aimed to examine the prevalence and associated factors of malnutrition in older community-dwellers and explore the interaction between associated factors.

METHODS

A total of 474,467 older community-dwellers aged 65 or above were selected in Guangzhou, China. We used a two-step methodology to detect the associated factors of malnutrition and constructed logistic regression models to explore the influencing factors and interactive effects on three patterns of malnutrition.

RESULTS

The prevalence of malnutrition was 22.28%. Older adults with both hypertension and diabetes (RERI = 0.13), both meat or fish diet and hypertension (RERI = 0.79), and both meat or fish diet and diabetes (RERI = 0.81) had positive additive interaction effects on the risk of obesity, whereas those on a vegetarian diet with hypertension (RERI = -0.25) or diabetes (RERI = -0.19) had negative additive interaction effects. Moreover, the interactions of physical activity with a meat or fish diet (RERI = -0.84) or dyslipidemia (RERI = -0.09) could lower the risk of obesity.

CONCLUSIONS

Malnutrition was influenced by different health factors, and there were interactions between these influencing factors. Pertinent dietary instruction should be given according to different nutritional status indexes and the prevalence of metabolic diseases to avoid the occurrences of malnutrition among older adults.

Spatial distribution and associated factors of co-occurrence of overweight/obesity and Anemia among women in the reproductive age in sub-Saharan Africa: A multilevel analysis, DHS 2016-2021

BACKGROUND

Overweight/obesity is one of the major public health problems that affect both developed and developing nations. The co-occurrence of overweight/obesity and anemia is thought to be largely preventable if detected early. To date, no spatial analyses have been performed to identify areas of hotspots for the co-occurrence of overweight/obesity and anemia among reproductive women in sub-Saharan Africa. Therefore, this study aimed to assess the spatial distribution and associated factors of the co-occurrence of overweight/obesity and anemia among women of reproductive age.

METHODS

Data for the study were drawn from the Demographic and Health Survey, a nationally representative cross-sectional survey conducted in the era of Sustainable Development Goals, in which the World Health Assembly decided and planned to cease all forms of malnutrition by 2030. Seventeen sub-Saharan African countries and a total weighted sample of 108,161 reproductive women (15-49 years) were included in our study. The data extraction, recoding and analysis were done using STATA V.17. For the spatial analysis (autocorrelation, hot-spot and interpolation), ArcGIS version 10.7 software, and for the SaTScan analysis, SaTScan version 10.1 software was used. Descriptive statistics were presented using frequency tables and percentages. We employed multilevel logistic regression to investigate associated factors. In the multivariable analysis, variables with a p-value of ≤0.05 are considered as a significant factor associated with co-occurrence of overweight/obesity and anemia among women aged 15-49 years.

RESULTS

The overall co-occurrence of overweight/obesity and anemia among women in sub-Saharan Africa was 12% (95%CI: 9-14%). The spatial analysis revealed that the co-occurrence of overweight/obesity and anemia among women significantly varied across sub-Saharan Africa. (Global Moran's I = 0.583163, p<0.001). In the spatial window, the primary-cluster was located in Liberia, Guinea, Gambia, Sira Leon, Mauritania, Mali, Cameron and Nigeria with a Log-Likelihood Ratio (LRR) of 1687.30, and Relative Risk (RR) of 2.58 at a p-value < 0.001. In multilevel analysis, women aged 25-34 years (AOR = 1.91, 95%CI: 1.78, 2.04), women aged 35-49 years (AOR = 2.96, 95% CI: 2.76, 3.17), married (AOR = 1.36, 95% CI: 1.27, 1.46), widowed (AOR = 1.22, 95%CI: 1.06, 1.40), divorced (AOR = 1.36, 95% CI: 1.23, 1.50), media exposure (AOR = 1.31, 95%CI: 1.23, 1.39), middle income (AOR = 1.19, 95%CI: 1.11, 1.28), high income/rich (AOR = 1.36, 95%CI: 1.26, 1.46), not working (AOR = 1.13, 95% CI:1.07, 1.19), traditional contraceptive utilization (AOR = 1.39, 95%CI: 1.23, 1.58) and no contraceptive use (AOR = 1.27, 95%CI: 1.20, 1.56), and no health insurance coverage (AOR = 1.36, 95%CI: 1.25, 1.49), were individual level significant variables. From community-level variables urban residence (AOR = 1.61, 95%CI: 1.50, 1.73), lower middle-income country (AOR = 2.50, 95%CI: 2.34, 2.66) and upper middle-income country (AOR = 2.87, 95%CI: 2.47, 3.34), were significantly associated with higher odds of co-occurrence of overweight/ obesity and anemia.

CONCLUSION AND RECOMMENDATIONS

The spatial distribution of the co-occurrence of overweight/obesity and anemia was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the co-occurrence of overweight/obesity and anemia. Therefore, public health programmers and other stalk holders who are involved in maternal healthcare should work together and give priority to hotspot areas of co-occurrence in sub-Saharan Africa.

Prevalence and factors associated with the coexistence of overweight/obesity and anaemia among women of reproductive age in Guinea

OBJECTIVE

To determine the prevalence and associated factors of the coexistence of overweight or obesity (OWOB) and anaemia among non-pregnant Guinean women aged 15-49 years.

DESIGN

The analysis was performed using data from the 2018 Guinean Demographic and Health Survey. Multivariate logistic regression was used to identify factors associated with the coexistence of OWOB and anaemia (OWOB + anaemia) among non-pregnant Guinean women.

SETTING

Guinea.

PARTICIPANTS

A total of 4783 non-pregnant women aged 15-49 years with valid data on the nutritional status (BMI and Hb level) were included in the analysis.

RESULTS

The prevalence of coexistence of OWOB and anaemia among non-pregnant women was 11·16 % (95% CI: 10·05, 12·37). The following variables were associated with OWOB + anaemia in multivariate models (adjusted OR (AOR) 95% CI): higher wealth index (AOR = 4·69; 95% CI: 2·62, 8·39), middle wealth index (AOR = 1·96; 95% CI: 1·31, 2·93), four or more antenatal visits (AOR = 1·62; CI: 1·16, 2·28), having four or more children (AOR = 2·47; 95% CI: 1·37, 4·43) and the rural areas (AOR = 0·59; 95% CI: 0·37, 0·95).

CONCLUSION

The current study's findings reveal that OWOB + anaemia concerned one-tenth of non-pregnant women. Associated factors were household wealth index, multiparity, antenatal visits and rural areas. Thus, there is a need to design specific interventions to prevent the double burden of malnutrition among women of reproductive age. Interventions should include promoting physical exercise, family planning, healthy eating and raising awareness of behavioural change.

Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey

According to the National Family Health Survey of 2021, about 57% of women aged 15-49 in India currently suffer from anemia, marking a significant increase from the 53% recorded in 2016. Similarly, a study conducted in southern India reported a 32.60% prevalence of preeclampsia. Several community-based initiatives have been launched in India to address these public health challenges. However, these interventions have yet to achieve the desired results. Could the challenges faced by traditional healthcare interventions be overcome through a technological leap? This study assesses pregnant mothers' perceptions regarding mobile health interventions for managing anemia and preeclampsia. Additionally, the study captures their health awareness and knowledge. We conducted a survey with 131 pregnant mothers in three underserved villages in Jharkhand, India. Statistical analysis was conducted using the SEMinR package in R (Version 2023.06.0), utilizing the non-parametric partial least squares-structural equation modeling. We found that every household had at least one smartphone, with the respondents being the primary users. The main uses of smartphones were for calling, messaging, and social media. A total of 61% of respondents showed interest in a nutrition and pregnancy app, while 23.66% were uncertain. Regarding nutritional knowledge during pregnancy, 68.7% reported having some knowledge, but only 11.45% claimed comprehensive knowledge. There was a considerable knowledge gap regarding the critical nutrients needed during pregnancy and the foods recommended for a healthy pregnancy diet. Awareness of pregnancy-related conditions such as anemia and preeclampsia was low, with most respondents unsure of these conditions' primary causes, impacts, and symptoms. This study serves as a critical step towards leveraging technology to enhance public health outcomes in low-resource settings. With the accessibility of mobile devices and an apparent willingness to utilize mHealth apps, compounded by the pressing need for improved maternal health, the impetus for action is indisputable. It is incumbent upon us to seize this opportunity, ensuring that the potential of technology is fully realized and not squandered, thus circumventing the risk of a burgeoning digital divide.

Intraindividual double burden of malnutrition among women (15-49 years) in India, Myanmar, and Nepal: evidence from the recent Demographic and Health Surveys

BACKGROUND

There is a concurrent increase in anaemia and overweight/obesity among women in the South and South East Asia regions. Despite these, studies on the co-existence of anaemia and overweight/obesity in these countries are abysmally limited. This secondary analysis sought to estimate the burden of the intraindividual double burden of malnutrition (IDBM), i.e., co-existence of anaemia and overweight/obesity among women of reproductive age (15-49 years) in India, Myanmar, and Nepal, and explore the impact of socio-demographic and economic factors on this health outcome.

METHODS

A secondary analysis of the Demographic and Health Surveys (DHS) of India (2019-2021), Myanmar (2015-2016), and Nepal (2016) was conducted. A descriptive analysis of the health outcomes and the risk factors was done with frequencies and percentages. The association between selected socio-demographic (women's age, education status, number of children and place of residence) and economic (occupation status, and wealth quintile) variables with IDBM was found with binary logistic regression analysis.

RESULTS

Around one in ten women of reproductive age group in India and Myanmar had IDBM. In Nepal, it occurs in one in nearly 15 women. Maternal age, education, household wealth, number of children, place of residence, and occupation were found to be significant predictors of IDBM.

CONCLUSION

There is a high prevalence of IDBM in South Asian women and it varies substantially across different socio-demographic and economic predictors. Sufficient evidence from prospective studies is needed to establish causal association and also to implement need-based prevention and curative strategies.

The co-occurrence of overweight/obesity and anaemia among adult women, adolescent girls and children living in fifty-two low- and middle-income countries

OBJECTIVE

To investigate the magnitude and distribution of concurrent overweight/obesity and anaemia among adult women, adolescent girls and children living in low- and middle-income countries (LMIC).

DESIGN

We selected the most recent Demographic and Health Surveys with anthropometric and Hb level measures. Prevalence estimates and 95 % CI of concurrent overweight/obesity and anaemia were calculated for every country, overall and stratified by household wealth quintile, education level, area of residence and sex (for children only). Regional and overall pooled prevalences were estimated using a random-effects model. We measured gaps, expressed in percentage points, to display inequalities in the distribution of the double burden of malnutrition (DBM).

SETTING

Nationally representative surveys from fifty-two LMIC.

PARTICIPANTS

Adult women (n 825 769) aged 20-49 years, adolescent girls (n 192 631) aged 15-19 years and children (n 391 963) aged 6-59 months.

RESULTS

The pooled prevalence of concurrent overweight/obesity and anaemia was 12·4 % (95 % CI 11·1, 13·7) among adult women, 4·5 % (95 % CI 4·0, 5·0) among adolescent girls and 3·0 % (95 % CI 2·7, 3·3) among children. Overall, the DBM followed an inverse social gradient, with a higher prevalence among the richest quintile, most educated groups and in urban areas; however, important variations exist. The largest inequality gaps were observed among adult women in Yemen by household wealth (24·0 percentage-points) and in Niger by education level (19·6 percentage-points) and area of residence (11·9 percentage-points). Differences were predominantly significant among adult women, but less among girls and children.

CONCLUSIONS

Context-specific, multifaceted, responses with an equity lens are needed to reduce all forms of malnutrition.

Prevalence and Determinants of the Co-Occurrence of Overweight or Obesity and Micronutrient Deficiencies among Adults in the Philippines: Results from a National Representative Survey

The double burden of malnutrition (DBM) affects many low- and middle-income countries. However, few studies have examined DBM at the individual level, or undernutrition and overnutrition co-occurring within the same person. This study aims to investigate the prevalence and determinants of DBM among adults in the Philippines. Data from the 2013 National Nutrition Survey were used. The sample size in the analysis was 17,010 adults aged ≥20 years old, after excluding pregnant and lactating women. DBM was defined as the co-occurrence of overweight/obesity and anemia (definition #1), overweight/obesity and anemia or vitamin A deficiency (definition #2), and overweight/obesity and anemia or vitamin A deficiency or iodine insufficiency (definition #3). Anthropometric measurements and biochemical markers were used for DBM assessment. Data were analyzed using descriptive statistics, the chi-square test, and logistic regression by R software. Results showed that definition #3 is the predominant type of DBM (7.0%) in the general population, whereas the prevalence of DBM has increased to 23.7% in overweight/obese persons. Sex, age, educational attainment, marital status, household size, wealth quintile, and smoking status were the determinants of DBM. This study revealed that Filipino adults experience malnutrition critically and must be addressed through food and nutrition interventions.

The prevalence and correlates of the double burden of malnutrition among women in Ghana

Anaemia and underweight or overweight/obesity are major public health problems driving maternal and child mortality in low- and middle-income countries. While the burden of these conditions is recognised, the evidence for the co-occurrence of these conditions is fragmented and mixed, especially at the individual level. Further, many studies have focused on families and communities. The different pathways for the occurrence of anaemia and BMI challenges indicate that an individual can potentially live with both conditions and suffer the complications. This study examined the prevalence and factors associated with the co-occurrence of anaemia and BMI challenges among a cohort of women in Ghana. Data from the 2014 Ghana Demographic and Health Survey were used. The sample size was 4 337 women aged 15-49 years who were not pregnant during the survey. Women who suffered simultaneously from underweight or overweight/obesity and anaemia were considered as having the double burden of malnutrition. The data were analysed using descriptive statistics, Chi-square test and logistic regression in STATA. One-fifth of the participants were overweight (21%), 4% were underweight and about one-tenth were obese (12%). The prevalence of anaemia was 41%. Only one in three women had normal weight and was not anaemic (34%). About 14% of the women experienced the double burden of malnutrition. Being overweight and anaemic (57%) was the most common form of this double burden. Age, marital status, parity, and wealth were t key risk factors associated with the double burden of malnutrition. The findings from this study show that women experience multiple nutritional challenges concurrently and that only a few women had healthy nutritional status. This information is particularly important and can be introduced into health education programmes to help address misconceptions about body weight and health.