Socioeconomic inequalities in food purchasing practices and expenditure patterns: Results from a cross-sectional household survey in western Kenya.

Introduction: Socioeconomic inequalities contribute to poor health. Inequitable access to diverse and healthy foods can be a risk factor for non-communicable diseases, especially in individuals of low socioeconomic status. We examined the extent of socioeconomic inequalities in food purchasing practices, expenditure, and consumption in a resource-poor setting in Kenya. Methods: We conducted a secondary analysis of baseline cross-sectional data from a natural experimental study with a sample size of 512 individuals from 376 households in western Kenya. Data were collected on household food sources, expenditure and food consumption. Household socioeconomic status (SES) was assessed using the multiple correspondence analysis (MCA) model. Concentration indices (Ci) and multivariable linear regression models were used to establish socioeconomic inequalities. Results: About half (47.9%) of individuals achieved a minimum level of dietary diversity with the majority coming from wealthier households. The two most consumed food groups were grains and roots (97.5%, n = 499) and dark green leafy vegetables (73.8%, n = 378), but these did not vary by SES. The consumption of dark green leafy vegetables was similar across wealth quantiles (Ci = 0.014, p = 0.314). Overall, the wealthier households spent significantly more money on food purchases with a median of USD 50 (IQR = 60) in a month compared to the poorest who spent a median of USD 40 (IQR = 40). Of all the sources of food, the highest amount was spent at open-air markets median of USD 20 (IQR = 30) and the expenditure did not vary significantly by SES (Ci = 0.4, p = 0.684). The higher the socioeconomic status the higher the total amount spent on food purchases. In multivariable regression analysis, household SES was a significant determinant of food expenditure [Adjusted coefficient = 6.09 (95%confidence interval CI = 2.19, 9.99)]. Conclusion: Wealthier households spent more money on food compared to the poorest households, especially on buying food at supermarkets. Individuals from the poorest households were dominant in eating grains and roots and less likely to consume a variety of food groups, including pulses, dairy, eggs and fruits, and vegetables. Individuals from the poorest households were also less likely to achieve adequate dietary diversity. Deliberate policies on diet and nutrition are required to address socioeconomic inequalities in food purchasing practices.

The Relationship of the COVID-19 pandemic with the Incidence and Management of Upper Limb Fractures: Double-Centre Study.

Background: The COVID-19 pandemic brought about the placement of severe social restrictions in the United Kingdom, limiting activity and impacting public behavior. Limited studies have been published on the relationship of the coronavirus pandemic with the presentation and management of upper limb fractures. The aims of this study were first to assess the change in the incidence of upper limb fractures at key points during the COVID-19 pandemic such as the enactment and lifting of lockdowns, and second to evaluate the relationship between local COVID-19 burden and measures of service efficiency across our trust. Methods: We undertook a retrospective analysis of all upper limb fracture referrals, admissions, and surgical procedures from the 1st of March 2020 to the 28th of February 2021. Changes in upper limb fracture incidence were mapped to significant changes in social restrictions. Measurements of service efficiency including time from admission to theatre and length of stay for admitted upper limb fracture patients were mapped to local COVID-19 burden. Subgroup analysis was undertaken to compare across age groups, including the pediatric population, all adults, and the elderly. Results: The study involved 1251, 659, and 641 patients with upper limb fracture referrals, admissions, and procedures across the trust, respectively. Referrals (n=128) and procedures (n=72) both peaked in August 2020. Admissions peaked in both May and December 2020 (63 for both). Admissions and procedures both demonstrated a decrease in March and April 2020 compared to the rest of the study period (40 and 38 admissions, as well as 48 and 29 procedures respectively). Across the cohort, referrals and admissions did not demonstrate a statistically significant relationship with the relaxing of social restrictions (P=0.504). There were statistically significant differences among referrals, admissions, and procedures when stratifying patients by age (p =<0.001). Length of stay demonstrated an inverse relationship with COVID-19 burden throughout the study period, with the shortest average length of stay recorded in months with the highest number of local COVID-19 cases. The average time from injury occurrence to theatre increased during the winter months (P=0.001). Conclusion: There is a relationship between changes in social restrictions and the incidence of upper limb fractures. These changes also had differing impacts on upper limb fracture rates when stratifying by patient age groups. The orthopedic service demonstrated adaptability in response to the local COVID-19 burden, and further research is needed to determine what effect this had on clinical outcomes.

Dietary assessment toolkits: an overview.

OBJECTIVE: A wide variety of methods are available to assess dietary intake, each one with different strengths and weaknesses. Researchers face multiple challenges when diet and nutrition need to be accurately assessed, particularly in the selection of the most appropriate dietary assessment method for their study. The goal of the current collaborative work is to present a collection of available resources for dietary assessment implementation.Design/Setting/ParticipantsAs a follow-up to the 9th International Conference on Diet and Physical Activity Methods held in 2015, developers of dietary assessment toolkits agreed to collaborate in the preparation of the present paper, which provides an overview of each toolkit. The toolkits presented include: the Diet, Anthropometry and Physical Activity Measurement Toolkit (DAPA; UK); the National Cancer Institute's (NCI) Dietary Assessment Primer (USA); the Nutritools website (UK); the Australasian Child and Adolescent Obesity Research Network (ACAORN) method selector (Australia); and the Danone Dietary Assessment Toolkit (DanoneDAT; France). An at-a-glance summary of features and comparison of the toolkits is provided. RESULTS: The present review contains general background on dietary assessment, along with a summary of each of the included toolkits, a feature comparison table and direct links to each toolkit, all of which are freely available online. CONCLUSIONS: This overview of dietary assessment toolkits provides comprehensive information to aid users in the selection and implementation of the most appropriate dietary assessment method, or combination of methods, with the goal of collecting the highest-quality dietary data possible.

Refractive error and presbyopia among adults in Fiji.

PURPOSE: To characterize refractive error, presbyopia and their correction among adults aged ≥ 40 years in Fiji, and contribute to a regional overview of these conditions. METHODS: A population-based cross-sectional survey using multistage cluster random sampling. Presenting distance and near vision were measured and dilated slitlamp examination performed. RESULTS: The survey achieved 73.0% participation (n=1381). Presenting binocular distance vision ≥ 6/18 was achieved by 1223 participants. Another 79 had vision impaired by refractive error. Three of these were blind. At threshold 6/18, 204 participants had refractive error. Among these, 125 had spectacle-corrected presenting vision ≥ 6/18 ("met refractive error need"); 79 presented wearing no (n=74) or under-correcting (n=5) distance spectacles ("unmet refractive error need"). Presenting binocular near vision ≥ N8 was achieved by 833 participants. At threshold N8, 811 participants had presbyopia. Among these, 336 attained N8 with presenting near spectacles ("met presbyopia need"); 475 presented with no (n=402) or under-correcting (n=73) near spectacles ("unmet presbyopia need"). Rural residence was predictive of unmet refractive error (p=0.040) and presbyopia (p=0.016) need. Gender and household income source were not. Ethnicity-gender-age-domicile-adjusted to the Fiji population aged ≥ 40 years, "met refractive error need" was 10.3% (95% confidence interval [CI] 8.7-11.9%), "unmet refractive error need" was 4.8% (95%CI 3.6-5.9%), "refractive error correction coverage" was 68.3% (95%CI 54.4-82.2%),"met presbyopia need" was 24.6% (95%CI 22.4-26.9%), "unmet presbyopia need" was 33.8% (95%CI 31.3-36.3%), and "presbyopia correction coverage" was 42.2% (95%CI 37.6-46.8%). CONCLUSION: Fiji refraction and dispensing services should encourage uptake by rural dwellers and promote presbyopia correction. Lack of comparable data from neighbouring countries prevents a regional overview.