Urbanization in Peru is inversely associated with double burden of malnutrition: Pooled analysis of 92,841 mother-child pairs.

OBJECTIVE: This study assessed the relationship between urbanization and the double burden of malnutrition (DBM) in Peru. METHODS: A cross-sectional analysis of the Demographic and Health Survey (2009 to 2016) was conducted. A DBM "case" comprised a child with undernutrition and a mother with overweight/obesity. For urbanization, three indicators were used: an eight-category variable based on district-level population density (inhabitants/km2 ), a dichotomous urban/rural variable, and place of residence (countryside, towns, small cities, or capital/large cities). RESULTS: The prevalence of DBM was lower in urban than in rural areas (prevalence ratio [PR] 0.70; 95% CI: 0.65-0.75), and compared with the countryside, DBM was less prevalent in towns (PR 0.75; 95% CI: 0.69-0.82), small cities (PR 0.73; 95% CI: 0.67-0.79), and capital/large cities (PR 0.53; 95% CI: 0.46-0.61). Using population density, the adjusted prevalence of DBM was 9.7% (95% CI: 9.4%-10.1%) in low-density settings (1 to 500 inhabitants/km2 ), 5.9% (95% CI: 4.9%-6.8%) in mid-urbanized settings (1,001 to 2,500 inhabitants/km2 ), 5.8% (95% CI: 4.5%-7.1%) in more densely populated settings (7,501 to 10,000 inhabitants/km2 ), and 5.5% (95% CI: 4.1%-7.0%) in high-density settings (>15,000 inhabitants/km2 ). CONCLUSIONS: The prevalence of DBM is higher in the least-urbanized settings such as rural and peri-urban areas, particularly those under 2,500 inhabitants/km2 .

Trends and patterns of the double burden of malnutrition (DBM) in Peru: a pooled analysis of 129,159 mother-child dyads.

BACKGROUND: This study aims to evaluate trends of DBM in Peru over the last 20 years. METHODS: Using individual-level data collected in nationally representative household surveys from Peru between 1996 and 2017, we analysed trends in the prevalence and patterning of the DBM. We classified the nutritional status of children and their mothers as undernourished (either underweight, stunted or wasted for children), normal, overweight or obese. Children classified as experiencing the DBM were those undernourished and living with an overweight or obese mother. We also fitted logistic regression models to evaluate the probability of children having an overweight/obese mother across subgroups of socioeconomic status, place of residence and education. RESULTS: The overall percentage of children experiencing the DBM in 2016 was 7%, and constitutes ~203,600 children (90% of whom were stunted). Between 1996 and 2016, undernourished children have seen the largest relative increase in the risk of having an overweight mother (31% vs. 37%) or obese mother (6% vs. 17%); however, due to the substantial decrease in the absolute number of undernourished children, the DBM has not grown. Moreover, all children, irrespective of their own nutritional status, are now more likely to live with an overweight or obese mother, a consistent pattern across wealth, location and education subgroups, and all regions of Peru. CONCLUSIONS: DBM prevalence in Peru has decreased, although the number of DBM cases is estimated to be above 200,000. In addition, all children are now more likely to live with overweight or obese mothers. The basic pattern has shifted from one of undernourished children whose mothers have a 'normal' BMI, to one where now most children have a 'normal' or healthy anthropometric status, but whose mothers are overweight or obese. This suggest that Peru is on the cusp of a major public health challenge requiring significant action.

Housing, sanitation and living conditions affecting SARS-CoV-2 prevention interventions in 54 African countries.

The feasibility of non-pharmacological public health interventions (NPIs) such as physical distancing or isolation at home to prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in low-resource countries is unknown. Household survey data from 54 African countries were used to investigate the feasibility of SARS-CoV-2 NPIs in low-resource settings. Across the 54 countries, approximately 718 million people lived in households with ⩾6 individuals at home (median percentage of at-risk households 56% (95% confidence interval (CI), 51% to 60%)). Approximately 283 million people lived in households where ⩾3 people slept in a single room (median percentage of at-risk households 15% (95% CI, 13% to 19%)). An estimated 890 million Africans lack on-site water (71% (95% CI, 62% to 80%)), while 700 million people lacked in-home soap/washing facilities (56% (95% CI, 42% to 73%)). The median percentage of people without a refrigerator in the home was 79% (95% CI, 67% to 88%), while 45% (95% CI, 39% to 52%) shared toilet facilities with other households. Individuals in low-resource settings have substantial obstacles to implementing NPIs for mitigating SARS-CoV-2 transmission. These populations urgently need to be prioritised for coronavirus disease 2019 vaccination to prevent disease and to contain the global pandemic.

Savings ownership and the use of maternal health services in Indonesia.

In low- and middle-income countries (LMICs), many women of reproductive age experience morbidity and mortality attributable to inadequate access to and use of health services. Access to personal savings has been identified as a potential instrument for empowering women and improving access to and use of health services. Few studies, however, have examined the relation between savings ownership and use of maternal health services. In this study, we used data from the Indonesian Family Life Survey to examine the relation between women's savings ownership and use of maternal health services. To estimate the effect of obtaining savings ownership on our primary outcomes, specifically receipt of antenatal care, delivery in a health facility and delivery assisted by a skilled attendant, we used a propensity score weighted difference-in-differences approach. Our findings showed that acquiring savings ownership increased the proportion of women who reported delivering in a health facility by 22 percentage points [risk difference (RD) = 0.22, 95%CI = 0.08-0.37)] and skilled birth attendance by 14 percentage points (RD = 0.14, 95%CI = 0.03-0.25). Conclusions were qualitatively similar across a range of model specifications used to assess the robustness of our main findings. Results, however, did not suggest that savings ownership increased the receipt of antenatal care, which was nearly universal in the sample. Our findings suggest that under certain conditions, savings ownership may facilitate the use of maternal health services, although further quasi-experimental and experimental research is needed to address threats to internal validity and strengthen causal inference, and to examine the impact of savings ownership across different contexts.

Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys.

BACKGROUND: Rural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration. METHODS: We conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on data collected from women aged 15-49 years. Participants were classified as rural stayers, urban stayers, rural-to-urban migrants, intra-rural migrants, intra-urban migrants, and urban-to-rural migrants. Marginal effects from a logit regression model were used to assess the probabilities of being and becoming obese given both the length of time in current place of residence and women's migration status. RESULTS: Analysis of cross-sectional survey data generated between 2005 and 2012. Data from 94,783 participants was analyzed. Intra-urban migrants and rural-to-urban migrants had the highest rates of obesity (21% in 2012). A steady increase in obesity is observed across all migration statuses. Relative to rural non-migrants, participants exposed to urban environments had greater odds, two- to three-fold higher, of obesity. The intra-rural migrant group also shows higher odds relative to rural stayers (42% higher obesity odds). The length of exposure to urban settings shows a steady effect over time. CONCLUSION: Both exposure to urban environments and migration are associated with higher odds of obesity. Expanding the characterization of within-country migration dynamics provides a better insight into the relationship between duration of exposure to urban settings and obesity.

Examining the changing profile of undernutrition in the context of food price rises and greater inequality.

This paper examines how the profile of undernutrition among children in two African countries (Ethiopia and Nigeria) changed over the period of the 2007/08 food, fuel and financial crisis. Using the Composite Index of Anthropometric Failure (CIAF), an indicator which allows for a comprehensive assessment of undernutrition in young children, we examine what changes occurred in the composition of undernutrition, and how these changes were distributed amongst children in different socio-economic groups. This is important as certain combinations of anthropometric failure (AF), especially the experience of multiple failures (dual and triple combinations of AF) are associated with higher morbidity and mortality risks, and are also related to poverty. Our hypothesis is that increases in food prices during the crisis contributed to an increase in inequality, which may have resulted in concurrent increases in the prevalence of more damaging forms of undernutrition amongst poorer children. While both countries witnessed large increases in food prices, the effects were quite different. Ethiopia managed reduce the prevalence of multiple anthropometric failure between 2005 and 2011 across most groups and regions. By contrast, in Nigeria prevalence increased between 2008 and 2013, and particularly so in the poorer, northern states. The countries studied applied quite different policies in response to food price increases, with the results from Ethiopia demonstrating that protectionist public health and nutrition interventions can mitigate the impacts of price increases on poor children.

Applying the Consensual Method of Estimating Poverty in a Low Income African Setting.

We present the first study of multidimensional poverty in Benin using the consensual or socially perceived necessities approach. There is a remarkable level consensus about what constitutes the necessities of life and an adequate standard of living. Following Townsend's concept of relative deprivation, we show how social consensus provides the basis for a reliable and valid index of multiple deprivation, which can be used to reflect multidimensional poverty. We discuss the issue of adaptive preferences, which has previously been used to criticise the consensual approach, and provide evidence to contest the claim that the poor adjust their aspirations downwards.

Overlooking undernutrition? Using a composite index of anthropometric failure to assess how underweight misses and misleads the assessment of undernutrition in young children.

In light of current international interest in the Millennium Development Goals, this short report examines the suitability of one of the primary indicators being used to assess progress. Using anthropometric data on 46,784 children aged 0-35 months in seven developing countries, we show how the weight for age (underweight) indicator is problematic but not for the reasons conventionally cited. We show that the information it provides about the degree and direction of change in undernutrition over time sometimes contradicts that provided by other conventional indicators. We demonstrate the potential of an alternative indicator, the composite index of anthropometric failure (CIAF), which can be used to show the overall extent of undernutrition among children, and which provides an unequivocal statement on the direction and degree of change in undernutrition over time. Given the fundamental importance of undernutrition to child survival and health, the issues raised will be of interest to and have implications for policy makers and planners alike.

The mortality divide in India: the differential contributions of gender, caste, and standard of living across the life course.

OBJECTIVES: We investigated the contributions of gender, caste, and standard of living to inequalities in mortality across the life course in India. METHODS: We conducted a multilevel cross-sectional analysis of individual mortality, using the 1998-1999 Indian National Family Health Survey data for 529321 individuals from 26 states. RESULTS: Substantial mortality differentials were observed between the lowest and highest standard-of-living quintiles across all age groups, ranging from an odds ratio (OR) of 4.61 (95% confidence interval [CI]=2.98, 7.13) in the age group 2 to 5 years to an OR of 1.97 (95% CI=1.68, 2.32) in the age group 45 to 64 years. Excess mortality for girls was evident only for the age group 2 to 5 years (OR=1.33, 95% CI=1.13, 1.58). Substantial caste differentials were observed at the beginning and end stages of life. Area variation in mortality is partially a result of the compositional effects of household standard of living and caste. CONCLUSIONS: The mortality burden, across the life course in India, falls disproportionately on economically disadvantaged and lower-caste groups. Residual state-level variation in mortality suggests an underlying ecology to the mortality divide in India.

Role of socioeconomic markers and state prohibition policy in predicting alcohol consumption among men and women in India: a multilevel statistical analysis.

OBJECTIVE: To investigate the independent contribution of individual socioeconomic markers and state prohibition policy on alcohol consumption among men and women in India. METHODS: The study used a multilevel cross-sectional analysis of alcohol consumption from the 1998-1999 Indian national family health survey of 301 984 adult individuals in 92 447 households in 3215 villages in 440 districts in 26 states, stratified by sex. FINDINGS: Men with no education were more likely to consume alcohol that those with a post graduate education (OR, 2.28; 95% CI, 2.08-2.50). Unlike men, women showed a U-shaped association between education and alcohol consumption. Men and women living in households at the lowest standard-of-living quintile were more likely to consume alcohol (OR, 1.92; 95% CI, 1.81-2.03, and OR, 2.72, 95% CI, 2.18-3.39), respectively, than those classified as living in the top quintile. Members of scheduled tribes and castes and other backward classes were more likely to consume alcohol than members of other caste groups. There was no difference in alcohol consumption between men from states that were not under prohibition (OR, 1.36; 95% CI 0.69-2.03) and those that were. By contrast, states not under prohibition has higher alcohol use by women (OR, 3.04, 95% CI, 1.59-4.48) than those under partial or complete prohibition. CONCLUSION: Caste, education and standard of living independently influence alcohol use in India. Prohibition policies appear to have little effect on alcohol use by men, but may reduce the proportion of women who consume alcohol. The socioeconomic patterning of health behaviours is likely to feed substantially into inequalities in health outcomes. Further investigation is required to understand how social and cultural factors in more localized contexts (e.g. districts) influence alcohol consumption.

Poverty, child undernutrition and morbidity: new evidence from India.

Undernutrition continues to be a primary cause of ill-health and premature mortality among children in developing countries. This paper examines how the prevalence of undernutrition in children is measured and argues that the standard indices of stunting, wasting and underweight may each be underestimating the scale of the problem. This has important implications for policy-makers, planners and organizations seeking to meet international development targets. Using anthropometric data on 24 396 children in India, we constructed an alternative composite index of anthropometric failure (CIAF) and compared it with conventional indices. The CIAF examines the relationship between distinct subgroups of anthropometric failure, poverty and morbidity, showing that children with multiple anthropometric failures are at a greater risk of morbidity and are more likely to come from poorer households. While recognizing that stunting, wasting and underweight reflect distinct biological processes of clear importance, the CIAF is the only measure that provides a single, aggregated figure of the number of undernourished children in a population.

Patterns and distribution of tobacco consumption in India: cross sectional multilevel evidence from the 1998-9 national family health survey.

OBJECTIVE: To investigate the demographic, socioeconomic, and geographical distribution of tobacco consumption in India. DESIGN: Multilevel cross sectional analysis of the 1998-9 Indian national family health survey of 301 984 individuals in 92 447 households in 3215 villages in 440 districts in 26 states. SETTING: Indian states. PARTICIPANTS: 301 984 adults (> or = 18 years). MAIN OUTCOME MEASURES: Dichotomous variable for smoking and chewing tobacco for each respondent (1 if yes, 0 if no) as well as a combined measure of whether an individual smokes, chews tobacco, or both. RESULTS: Smoking and chewing tobacco are systematically associated with socioeconomic markers at the individual and household level. Individuals with no education are 2.69 times more likely to smoke and chew tobacco than those with postgraduate education. Households belonging to the lowest fifth of a standard of living index were 2.54 times more likely to consume tobacco than those in the highest fifth. Scheduled tribes (odds ratio 1.23, 95% confidence interval 1.18 to 1.29) and scheduled castes (1.19, 1.16 to 1.23) were more likely to consume tobacco than other caste groups. The socioeconomic differences are more marked for smoking than for chewing tobacco. Socioeconomic markers and demographic characteristics of individuals and households do not account fully for the differences at the level of state, district, and village in smoking and chewing tobacco, with state accounting for the bulk of the variation in tobacco consumption. CONCLUSION: The distribution of tobacco consumption is likely to maintain, and perhaps increase, the current considerable socioeconomic differentials in health in India. Interventions aimed at influencing change in tobacco consumption should consider the socioeconomic and geographical determinants of people's susceptibility to consume tobacco.