Why do children under 5 years go to the GP in Lambeth: a cross-sectional study.

OBJECTIVES: This study identifies the most common recorded reason for attendance to primary care for children under 5 years old, including a breakdown via age, ethnicity, deprivation quintile and sex. DESIGN: Cross-sectional. SETTING: 39 of 40 general practices in Lambeth, London, UK. PARTICIPANTS: 22 189 children under 5 years who had attended primary care between the 1 April 2017 and 31 March 2020 and had not opted out of anonymous data sharing within Lambeth DataNet. OUTCOME MEASURE: The primary objective was to identify the most frequently recorded complaint in general practice for children under 5 years old. The secondary objective was to understand how presenting complaint differs by age, ethnicity, sex and deprivation level. The third objective was to create a multivariate logistic regression with frequent attendance as the outcome variable. RESULTS: Nine conditions formed over 50% of all patient interactions: the most common reason was upper respiratory tract infections (14%), followed by eczema (8%) and cough (7%). While there was some variation by ethnicity and age, these nine conditions remained dominant. Children living in the most deprived area are more likely to be frequent attenders than children living in the least deprived area (adjusted OR (AOR) 1.27 (95% CI 1.14 to 1.41)). Children of Indian (AOR 1.47 (1.04 to 2.08)), Bangladeshi (AOR 2.70 (1.95 to 3.74)) and other white (AOR 1.18 (1.04 to 1.34)) ethnicities were more likely to be frequent attenders, compared with those of white British ethnicity. CONCLUSIONS: Most reasons for attendance for children under 5 years to primary care are for acute, self-limiting conditions. Some of these could potentially be managed by increasing access to community care services, such as pharmacies. By focusing on the influence of the broader determinants of health as to why particular groups are more likely to attend, health promotion efforts have the opportunity to reduce barriers to healthcare and improve outcomes.

Dietary patterns in North and South India: a comparison with EAT-Lancet dietary recommendations.

BACKGROUND: Environmentally sustainable diets are represented in the EAT-Lancet recommendations developed by the Lancet Commission on Planetary Health in 2019. Very few studies have compared Indian diets with the EAT-Lancet recommendations. The present study performed such a comparison using primary dietary consumption data from adults in north and south India. METHODS: Data from 8762 adults (52.4 ± 11.7 years) residing in Sonipat and Vizag India were collected on sociodemographic characteristics, wealth index (household assets) and dietary intake (food frequency questionnaire: nine food groups). The quantity consumed and energy from each food group was compared with the EAT-Lancet recommendations. We investigated the likelihood of deficit or excess in consumption compared to the EAT-Lancet recommendations by different sociodemographic factors. RESULTS: Half of the participants were women and half resided in rural areas. Vegetables and fruits were consumed in lower quantity, whereas dairy and added fats were consumed in higher quantity than recommended by the EAT-Lancet recommendations. For whole grains, female gender and poorest wealth index were the factors associated with deficit or no consumption, whereas, for vegetables and fruits, it was poorest wealth index and residence in rural areas (p < 0.05, all). Rural residence and poorest wealth index were associated with excess consumption of dairy and added fats (p < 0.05, all). CONCLUSIONS: The diets of the study participants were mainly plant-based, and high in dairy but lacking in nutrient-rich foods such as vegetables and fruits. Appropriate policy actions for making healthy sustainable diets and micronutrient-rich foods available and affordable to all with a particular focus on the poor and rural populations are warranted.

Agricultural and Socioeconomic Factors Associated with Farmer Household Dietary Diversity in India: A Comparative Study of Visakhapatnam and Sonipat.

Using primary data from 479 farmer households, this study examined the associations between agricultural and socioeconomic factors and farmer household dietary diversity in Visakhapatnam and Sonipat. Cropping intensity was positively associated with farmers' household dietary diversity score (HDDS), suggesting that higher cropping intensity may expand the gross cropped area and improve food security among subsistence farmers. Distance to food markets was also significantly associated with farmer HDDS, which suggests that market integration with rural households can improve farmer HDDS in Visakhapatnam. In Sonipat, wealth index had a positive association with farmer HDDS, targeting the income pathway by improving farmer HDDS in this region. Considering the relative contribution of these factors, distance to food markets, cropping intensity, and crop diversity were the three most important factors affecting farmer HDDS in Visakhapatnam, whereas wealth index, cropping intensity, and distance to food markets emerged as the top three important factors contributing to farmer HDDS in Sonipat. Our study concludes that the associations between agricultural and socioeconomic factors and farmer HDDS are complex but context- and location-specific; therefore, considering the site- and context-specific circumstances, different connections to HDDS in India can be found to better support policy priorities on the ground.

Snacking Behavior and Association with Metabolic Risk Factors in Adults from North and South India.

BACKGROUND: Snacks are increasingly contributing to daily diets around the world. Studies from high-income countries have demonstrated the link between snack consumption and metabolic risk factors, but there are very few studies from low- and middle-income countries. OBJECTIVES: The objective of this study was to assess snack behavior and its associations with metabolic risk factors in Indian adults. METHODS: Adults from the UDAY study (October 2018-February 2019, n = 8762) from rural and urban Sonipat (North) and Vizag (South) India were studied for snack consumption (food frequency questionnaire), demographic factors, including age, sex, etc. and metabolic risk factors, including BMI, waist circumference, fat percentage, plasma glucose, and blood pressure. We compared snack consumption by categories of sociodemographic factors (Mann-Whitney U test, Kruskal-Wallis test) and studied the likelihood for metabolic risk (logistic regression analysis). RESULTS: Half of the study participants were women and resided in rural locations. Savory snacks were the most preferred; 50% of the participants consumed them 3-5 times/wk. Participants preferred to purchase out-of-home prepared snacks and eat them at home (86.6%) while watching television (69.4%) or with family/friends (49.3%). The reasons for snacking were hunger, craving, liking, and availability. Snack consumption was higher in Vizag (56.6%) than in Sonipat (43.4%), among women (55.5%) than men (44.5%), and the wealthiest; it was similar in rural-urban locations. Frequent consumers of snacks had 2 times higher likelihood for having obesity (OR: 2.22; 95% CI: 1.51, 3.27) central obesity (OR: 2.35; 95% CI: 1.60, 3.45), and higher fat percentage (OR: 1.92; 95% CI: 1.31, 2.82) and higher fasting glucose levels (r=0.12 (0.07-0.18) than consumers who consumed snacks rarely (all P ≤ 0.05). CONCLUSIONS: Snack (savory and sweet) consumption was high among adults from sexes in both urban and rural locations of north and south India. This was associated with higher risk of obesity. There is a need to improve the food environment by promoting policies for ensuring healthier food options to reduce snacking and associated metabolic risk.

Food insecurity and its determinants among adults in North and South India.

BACKGROUND: Food insecurity is a major public health problem worldwide. In India, there are limited food insecurity assessment studies using a conventionally accepted method like the Food Insecurity Experience Scale (FIES), developed by the Food and Agricultural Organization (FAO). This study aims to measure food insecurity using the FIES and explore its determinants and association with body mass index (BMI) among Indian adults.  METHODS: In a cross-sectional study, we used FIES to measure food security in a sample of 9005 adults residing in North and South India. Using questionnaires, socio-demographic factors, dietary intake and food security data were collected. The dietary diversity scores (FAO-IDDS) and food insecurity scores (FAO-FIES) were calculated. Body size was measured and BMI was calculated.  RESULTS: The mean age of the study participants was 52.4 years (± 11.7); half were women and half resided in rural areas. Around 10% of the participants reported having experienced (mild or moderate or severe) food insecurity between October 2018 and February 2019. Dietary diversity (measured by FAO's Individual Dietary Diversity Scores, IDDS) was low and half of the participants consumed ≤ 3 food groups/day. The mean BMI was 24.7 kg/m2. In the multivariate analysis, a lower IDDS and BMI were associated with a higher FIES. The place of residence, gender and wealth index were important determinants of FIES, with those residing in South India, women and those belonging to the poorest wealth index reporting higher food insecurity. CONCLUSION: Food security is understudied in India. Our study adds important evidence to the literature. Despite having marginal food insecurity, high prevalence of low diet quality, especially among women, is disconcerting. Similar studies at the national level are warranted to determine the food insecurity situation comprehensively in India and plan appropriate policy actions to address it effectively, to attain the key Sustainable Development Goals (SDG).

The global spectrum of plant form and function: enhanced species-level trait dataset.

Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.

Acknowledge the Elephant in the Room: The Role of Power Dynamics in Transforming Food Systems Comment on "What Opportunities Exist for Making the Food Supply Nutrition Friendly? A Policy Space Analysis in Mexico".

A paradigm shift is required to transform food systems, so they are more equitable, environmentally friendly, and healthy. This requires acknowledging which factors change or maintain the status quo. In this commentary, we reflect upon the Cervantes et al study findings and discuss the role of power dynamics in transforming food systems. This is directly relevant to Mexico in terms of (i) relationships between food system actors; (ii) the role of socio-economic political context; and (iii) opportunities for policy coherence and transformative food systems approaches. We suggest that the power dynamics that drive the food produced, sold, and consumed should be recognised in all (inter)national governance decision-making. The 2021 United Nations Food System Summit - when interest groups were perceived to overly influence the summit proceedings - is an example of how neglecting the role of power dynamics can undermine and slow food system transformation.

The role of dairy in healthy and sustainable food systems: community voices from India.

BACKGROUND: Managing the role of dairy foods in healthy and sustainable food systems is challenging. Milk production is associated with greenhouse gas emissions and milk-based processed foods can be high in fat, sugar and salt; yet, milk production provides income generating opportunities for farmers and dairy foods provide essential nutrients to young children, with a cultural significance in many communities. This is particularly relevant to India, the world's largest producer of milk. The aim of this study was to use Photovoice, a participatory research method, to explore the experiences and perceptions of communities in India on the role of dairy products in local sustainable and healthy food systems. METHODS: Purposive sampling recruited two women's self-help groups in Visakhapatnam, Andhra Pradesh: one in a rural area and one in an urban area. A total of 31 participants (10-17 urban group and 12-14 rural group), produced photographs with captions to represent their views on how dairy was produced, sold, and consumed in their community. A discussion workshop was held in each area, with prompts to consider health and the environment. Workshop transcripts, photographs and captions were analysed qualitatively using thematic analysis. RESULTS: A range of experiences and perceptions were discussed by the two women's self help groups. Participants had an awareness of their local food system and how stages of dairy food supply chains were non-linear and inherently interconnected. Three main themes were identified: 1) Quality and value matters to producers and consumers; 2) The need to adapt to sustain dairy farmer livelihoods in water scarce areas; 3) It's not only about health. CONCLUSIONS: Moderate milk-producing states such as Andhra Pradesh will continue to develop their dairy industry through policy actions. Including communities in policy discussions through innovative methods like Photovoice can help to maximise the positive and minimise the negative role of dairy in evolving local food systems.

Small and slow is safe: On the drought tolerance of tropical tree species.

Understanding how evolutionary history and the coordination between trait trade-off axes shape the drought tolerance of trees is crucial to predict forest dynamics under climate change. Here, we compiled traits related to drought tolerance and the fast-slow and stature-recruitment trade-off axes in 601 tropical woody species to explore their covariations and phylogenetic signals. We found that xylem resistance to embolism (P50) determines the risk of hydraulic failure, while the functional significance of leaf turgor loss point (TLP) relies on its coordination with water use strategies. P50 and TLP exhibit weak phylogenetic signals and substantial variation within genera. TLP is closely associated with the fast-slow trait axis: slow species maintain leaf functioning under higher water stress. P50 is associated with both the fast-slow and stature-recruitment trait axes: slow and small species exhibit more resistant xylem. Lower leaf phosphorus concentration is associated with more resistant xylem, which suggests a (nutrient and drought) stress-tolerance syndrome in the tropics. Overall, our results imply that (1) drought tolerance is under strong selective pressure in tropical forests, and TLP and P50 result from the repeated evolutionary adaptation of closely related taxa, and (2) drought tolerance is coordinated with the ecological strategies governing tropical forest demography. These findings provide a physiological basis to interpret the drought-induced shift toward slow-growing, smaller, denser-wooded trees observed in the tropics, with implications for forest restoration programmes.

A Photovoice Study to Reveal Community Perceptions of Highly Processed Packaged Foods in India.

India is experiencing a nutrition transition, with sales of packaged and processed foods rapidly increasing in recent years. This study sought to understand the views and experiences of self-help groups about highly processed, packaged food in Visakhapatnam, India, using the Photovoice method. Participants were able to record, reflect on and critique their environments through participatory analysis, identifying key themes, and offering a critical lens on their food environment and experiences. On an average eight and 14 members participated in the Photovoice workshops held in urban and rural Visakhapatnam respectively. The key themes emerging from the photos and text data are that participants experienced highly processed packaged foods as being: 1) democratic (easily available and consumed by all, affordable and accessible; 2) convenient (easy to prepare) and 3) unhealthy (for human consumption and for environmental sustainability). These data demonstrate the challenges facing public health nutritionists in wishing to shift dietary behaviors to healthy habits: on the surface participants acknowledged their unhealthy characteristics, however these products may now be embedded in dietary culture. Traditional methods for changing dietary habits may not be able to capture the complexity and systems approach is required to explore the most effective entry points for affecting change.

Changes in take-home aerated soft drink purchases in urban India after the implementation of Goods and Services Tax (GST): An interrupted time series analysis.

OBJECTIVES: Taxes on sugar-sweetened beverages (SSB) are increasingly being implemented as public health interventions to limit the consumption of sugar and reduce associated health risks. In July 2017, India imposed a new tax rate on aerated (carbonated) drinks as part of the Goods and Services Tax (GST) reform. This study investigates the post-GST changes in the purchase of aerated drinks in urban India. METHODS: An interrupted time series analysis was conducted on state-level monthly take-home purchases of aerated drinks in urban India from January 2013 to June 2018. We assessed changes in the year-on-year growth rate (i.e. percentage change) in aerated drink purchases with controls for contextual variables. RESULTS: We found no evidence of a reduction in state-level monthly take-home aerated drink purchases in urban India following the implementation of GST. Further analysis showed that the year-on-year growth rate in aerated drink purchases increased slightly (0.1 percentage point per month, 95%CI = 0.018, 0.181) after the implementation of GST; however, this trend was temporary and decreased over time (0.008 percentage point per month, 95%CI = -0.015, -0.001). CONCLUSIONS: In India, a country currently with low aerated drink consumption, the implementation of GST was not associated with a reduction in aerated drink purchase in urban settings. Due to the lack of accurate and sufficiently detailed price data, it is not possible to say whether this finding is driven by prices not changing sufficiently. Furthermore, the impact of GST reform on industry practice (reformulation, marketing) and individual behaviour choices (substitution) is unknown and warrants further investigation to understand how such taxes could be implemented to deliver public health benefits.

Moving towards sustainable food systems: A review of Indian food policy budgets.

Moving towards sustainable food systems is a complex problem, which requires high level co-ordination, coherence, and integration of national food policy. The aim of this study is to explore where environmental sustainability is integrated into national food policy in India. A scoping review of food policies was conducted, and findings mapped to ministerial responsibility, estimated budget allocation, and relevant Sustainable Development Goals. Fifty-two policies were identified, under the responsibility of 10 ministries, and with relevance to six Sustainable Development Goals. Content analysis identified references to environmental sustainability were concentrated in policies with the smallest budgetary allocation. Resources together with political will are required to integrate environmental sustainability into food policies and avoid conflicts with more well-established health, societal, and economic priorities.

Co-located Parent Coaching Services Within Pediatric Primary Care: Feasibility and Acceptability.

INTRODUCTION: This project assessed the feasibility and acceptability of Parent Connext, a positive parenting program that integrates screening and co-located parent coaching within pediatric primary care. METHOD: Eleven practices implemented Parent Connext in phases between November 1, 2016, and July 31, 2019. Screening and surveillance for parenting and family psychosocial concerns were performed during patient visits. Providers responded with brief motivational interviewing and referral. Parenting Specialists provided individualized parent coaching to referred caregivers. RESULTS: Screens were completed at 13,346 (65%) targeted visits, with 26% positive for concerns. Parent coaching was provided to 1,301 of 2,711 (48%) referred families (average 2.2 sessions per family). Providers and staff felt significantly more supported, confident, and knowledgeable about addressing parenting and family psychosocial concerns after implementing Parent Connext and felt the program improved their relationships with families and quality of care. DISCUSSION: Co-located parent coaching was found to be a feasible and worthwhile addition to pediatric primary care.

Eradicating the large white butterfly from New Zealand eliminates a threat to endemic Brassicaceae.

In May 2010 the large white butterfly, Pieris brassicae L. (Lepidoptera: Pieridae), was discovered to have established in New Zealand. It is a Palearctic species that-due to its wide host plant range within the Brassicaceae-was regarded as a risk to New Zealand's native brassicas. New Zealand has 83 native species of Brassicaceae including 81 that are endemic, and many are threatened by both habitat loss and herbivory by other organisms. Initially a program was implemented to slow its spread, then an eradication attempt commenced in November 2012. The P. brassicae population was distributed over an area of approximately 100 km2 primarily in urban residential gardens. The eradication attempt involved promoting public engagement and reports of sightings, including offering a bounty for a two week period, systematically searching gardens for P. brassicae and its host plants, removing host plants, ground-based spraying of insecticide to kill eggs and larvae, searching for pupae, capturing adults with nets, and augmenting natural enemy populations. The attempt was supported by research that helped to progressively refine the eradication strategy and evaluate its performance. The last New Zealand detection of P. brassicae occurred on 16 December 2014, the eradication program ceased on 4 June 2016 and P. brassicae was officially declared eradicated from New Zealand on 22 November 2016, 6.5 years after it was first detected and 4 years after the eradication attempt commenced. This is the first species of butterfly ever to have been eradicated worldwide.

Purchase trends of processed foods and beverages in urban India.

•Unique dataset allows analysis of urban Indian shopping habits of processed foods.•Beyond staples, purchases of processed foods and beverages for home use are low.•Fastest rate of growth seen in sweet and salty snacks, and edible oil purchases.•Highest volume of processed foods and beverages purchased by Delhi population.•Large variations across states in level and trends of purchases over time.

A method for reconstructing temporal changes in vegetation functional trait composition using Holocene pollen assemblages.

Methods of reconstructing changes in plant traits over long time scales are needed to understand the impact of changing environmental conditions on ecosystem processes and services. Although Holocene pollen have been extensively used to provide records of vegetation history, few studies have adopted a functional trait approach that is pertinent to changes in ecosystem processes. Here, for woody and herbaceous fen peatland communities, we use modern pollen and vegetation data combined with pollen records from Holocene deposits to reconstruct vegetation functional dynamics. The six traits chosen (measures of leaf area-to-mass ratio and leaf nutrient content) are known to modulate species' fitness and to vary with changes in ecosystem processes. We fitted linear mixed effects models between community weighted mean (CWM) trait values of the modern pollen and vegetation to determine whether traits assigned to pollen types could be used to reconstruct traits found in the vegetation from pollen assemblages. We used relative pollen productivity (RPP) correction factors in an attempt to improve this relationship. For traits showing the best fit between modern pollen and vegetation, we applied the model to dated Holocene pollen sequences from Fenland and Romney Marsh in eastern and southern England and reconstructed temporal changes in trait composition. RPP adjustment did not improve the linear relationship between modern pollen and vegetation. Leaf nutrient traits (leaf C and N) were generally more predictable from pollen data than mass-area traits. We show that inferences about biomass accumulation and decomposition rates can be made using Holocene trait reconstructions. While it is possible to reconstruct community-level trends for some leaf traits from pollen assemblages preserved in sedimentary archives in wetlands, we show the importance of testing methods in modern systems first and encourage further development of this approach to address issues concerning the pollen-plant abundance relationship and pollen source area.

Loss of LDAH associated with prostate cancer and hearing loss.

Great strides in gene discovery have been made using a multitude of methods to associate phenotypes with genetic variants, but there still remains a substantial gap between observed symptoms and identified genetic defects. Herein, we use the convergence of various genetic and genomic techniques to investigate the underpinnings of a constellation of phenotypes that include prostate cancer (PCa) and sensorineural hearing loss (SNHL) in a human subject. Through interrogation of the subject's de novo, germline, balanced chromosomal translocation, we first identify a correlation between his disorders and a poorly annotated gene known as lipid droplet associated hydrolase (LDAH). Using data repositories of both germline and somatic variants, we identify convergent genomic evidence that substantiates a correlation between loss of LDAH and PCa. This correlation is validated through both in vitro and in vivo models that show loss of LDAH results in increased risk of PCa and, to a lesser extent, SNHL. By leveraging convergent evidence in emerging genomic data, we hypothesize that loss of LDAH is involved in PCa and other phenotypes observed in support of a genotype-phenotype association in an n-of-one human subject.

Mapping local and global variability in plant trait distributions.

Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been limited to grouping related species into plant functional types (PFTs), with all trait variation in a PFT collapsed into a single mean value that is applied globally. Using the largest global plant trait database and state of the art Bayesian modeling, we created fine-grained global maps of plant trait distributions that can be applied to Earth system models. Focusing on a set of plant traits closely coupled to photosynthesis and foliar respiration-specific leaf area (SLA) and dry mass-based concentrations of leaf nitrogen ([Formula: see text]) and phosphorus ([Formula: see text]), we characterize how traits vary within and among over 50,000 [Formula: see text]-km cells across the entire vegetated land surface. We do this in several ways-without defining the PFT of each grid cell and using 4 or 14 PFTs; each model's predictions are evaluated against out-of-sample data. This endeavor advances prior trait mapping by generating global maps that preserve variability across scales by using modern Bayesian spatial statistical modeling in combination with a database over three times larger than that in previous analyses. Our maps reveal that the most diverse grid cells possess trait variability close to the range of global PFT means.