Impact Of COVID-19 Lockdown Research Articles

Impact of COVID-19 lockdown on water quality of major rivers in Sri Lanka

ABSTRACT The COVID-19 lockdown resulted in a reduction in human activities, lowering pollution levels in these rivers. Nevertheless, limited research can be found on the impact of COVID-19 on river water quality in Sri Lankan rivers. Therefore, this research was carried out to investigate the water quality index (WQI) of four major rivers (Mahaweli, Nilwala, Kelani, and Kalu) in Sri Lanka in three consecutive time slots spanning from 2019 to 2022 (before, during, and after the lockdown). In-depth WQI analysis has unveiled nuanced dynamics in river health. While the lockdown period contributed to positive alterations in key parameters, subsequent periods demonstrated declining water quality post-lockdown. This decline underscores the direct correlation between human activity and river water quality deterioration. Several parameters showed positive changes during the lockdown, indicating an improvement in river water quality. When comparing the periods before, during, and after the lockdown, pH, colour, turbidity, total iron, sulphate, chloride, total coliform, and E. coli all showed a significant positive impact. However, some parameters, such as fluoride and electrical conductivity (EC), had a neutral effect. This study sheds light on the positive effects of the COVID-19 lockdown on reducing river pollution in Sri Lanka.

Investigating the impact of COVID-19 lockdowns on fragility fracture risk and bone mineral density in a large observational cohort: a cross-sectional study.

Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2 or COVID-19) led to lockdowns predisposing people to sedentary lifestyles and unhealthy behaviours which may have affected bone mineral density (BMD) and fragility fracture risk. However, limited studies describe such an association. We aimed to investigate how COVID-19 lockdowns has affected BMD and fragility fractures in a large cohort. Patients were referred to our DXA scanner from 2004 to 2024 and were subsequently categorized as pre- or post-March 23, 2020 (pre- and post-COVID-19) to allow analysis between the groups. Demographic, BMD and compositional data were compared between the two populations. A multivariate logistic regression modelled the odds of reporting a fracture including hip and non-hip fracture. A multiple linear regression was used to model how the lockdown has affected bone density. All analyses were adjusted for confounders. Of 43799 referrals, 6564 were post-COVID-19. Post-COVID-19 patients had higher non-hip fracture rates (42.0% vs 39.8%), were 3 kg heavier, and had lower left femoral T-scores. Patients referred post-COVID-19 had a statistically significant reduction of -0.23 to their T-score after adjusting for confounders as well as increased risk of getting diagnosed with osteoporosis [odds ratio (OR) 1.49, 95% CI 1.40-1.59]. Patients referred after the pandemic had a reduced odds of any fracture (OR 0.83, 95% CI 0.77-0.88), hip (OR 0.74, 95% CI 0.62-0.88) and non-hip fracture (OR 0.78, 95% CI 0.73-0.83). COVID-19 lockdowns may have negatively affected bone; however, this has not translated to an increased fracture risk in our study. Further research is needed with prospective cohorts to corroborate this risk.

How did COVID-19 lockdown impact the health of older adults in nursing homes? A scoping review

BackgroundThe impact of the COVID-19 pandemic on older adults in nursing homes is significant, with high death rates, disrupted care, isolation measures, and inadequate treatment. Social isolation has increased risks of cognitive disorders, anxiety, and depression. While many studies have examined the pandemic’s effects on nursing home staff and residents’ families, less is known about the health consequences for the residents themselves. This review aims to synthesize literature on the COVID-19 lockdown’s impact on the functional, cognitive, and psycho-emotional states of older adults in nursing homes.MethodsA scoping review was conducted following the Joanna Briggs Institute guidelines and the PRISMA extension for Scoping Reviews (PRISMA-ScR). Four databases were searched: CINAHL, PubMed, Web of Science, and PsycINFO. The eligibility criteria included studies on older adults in nursing homes during the COVID-19 pandemic, with data that could be disaggregated for this population and results on the lockdown’s impact on physical, cognitive, and psycho-emotional levels.ResultsSeventeen articles met the criteria for data extraction The synthesis was categorized into four main areas: functional, cognitive and psycho-emotional status, and isolation measures. Key findings included decreased functional abilities, lower cognitive test scores during the pandemic’s first waves, development of psychological symptoms, and increased negative feelings among residents.ConclusionsHighlighting the consequences of confinement for nursing home residents is essential for updating evidence, developing effective strategies, and establishing protocols to mitigate the impact and prevent health issues in future pandemics.

Comparative Assessment of the Impact of COVID-19 Lockdown on Air Quality: A Multinational Study of SARS-CoV-2 Hotspots.

In response to the global COVID-19 pandemic, nations implemented lockdown measures to contain the virus. This study assessed air pollution levels during and after lockdowns, focusing on the following heavily affected locations: Oulu and Helsinki in Finland, Paris in France, Madrid in Spain, Milan in Italy, and Wuhan in China. Air Quality Index (AQI) data from these locations over two years were analyzed to understand the effects of lockdowns. The study compared COVID-19 lockdowns in these six cities with SARS-CoV-2 measurements using statistical methods. Variations in outdoor pollutants were evaluated through tests, revealing significant differences. Parametric analyses and regression were employed to study the impacts of lockdown measures on pollution and their relationships. The study comprehensively analyzed the effects of COVID-19 lockdowns on air quality, identifying differences, quantifying changes, and exploring patterns in each city. Pollutant correlations varied among cities during the lockdowns. Regression analysis highlighted the impact of independent variables on pollutants. Decreases in NO2 were observed in Helsinki, Madrid, Oulu, Paris, and Milan, reflecting reduced traffic and industrial activities. Reductions in PM2.5 and PM10 were noted in these cities and in Wuhan, except for O3 levels, which increased. The reduction in human activities improved air quality, particularly for NO2 and PM10. Regional variations underscore the need for tailored interventions. The study observed a substantial decrease in both PM2.5 and NO2 levels during the COVID-19 lockdowns, indicating a direct correlation between reduced human activities, such as transportation and industrial operations, and improved air quality. This underscores the potential impact of environmental measures and suggests the need for sustainable practices to mitigate urban pollution.

Impact of COVID-19 lockdown on sleep patterns and the related problems among nursing students.

To evaluate the impact of the COVID-19 lockdown on sleep patterns and quality among nursing students in our college. A cross-sectional study was carried out. A total of 302 nursing students aged 18-25 years, representing both genders and various academic levels, participated in this study. A pre-validated, self-administered questionnaire was used to assess sleep quality during COVID-19 and it was distributed through various social media platforms for data collection. Female students comprised the majority (92.1%) of participants. Of 332 nursing students, 302 completed the questionnaire, yielding a 91% response rate. Statistically significant differences were observed before and during the COVID-19 lockdown regarding the need to sleep after waking, feeling refreshed upon waking, satisfaction with individual sleep patterns and experiencing restless and troubled sleep (p = 0.001). Additionally, approximately one-third of nursing students (32.9%) reported poor sleep quality during the COVID-19 pandemic, with minimal impact on the total sleep hours among the studied cohorts. The COVID-19 pandemic has statistically significant impacted nursing students' sleep quality and levels. Acknowledging these challenges and planning for providing supporting measurements is essential to ensuring that nursing students can maintain their physical and mental health, which is critical for their ability to provide quality healthcare.

Impact of COVID-19 Lockdown on Air Pollutant Emissions in Port Regions. Scoping Review

Impact of COVID-19 Lockdown on Air Pollutant Emissions in Port Regions. Scoping Review

The Impact of Covid-19 lockdowns on Particulate Matter (PM2.5) Pollution in Addis Ababa

The Impact of Covid-19 lockdowns on Particulate Matter (PM2.5) Pollution in Addis Ababa

Impact of COVID-19 Lockdown: Stratified Livelihoods in Nepal a Sociological Analysis

Purpose: The COVID-19 pandemic prompted the government of Nepal to institute a series of lockdowns from March 24, 2020, significantly affecting the livelihoods of its citizens. This study explores stratified livelihoods during Pandemic lockdowns in Nepal and of these measures, uncovering nuanced and diverse experiences across different strata of Nepali society. Design/Methodology/Approach: Therefore, utilizing a qualitative research approach, the study employs primary and secondary data collection methods, such as observations and case studies, and analyses the data through content analysis techniques. Findings/Results: The findings reveal a spectrum of impacts, ranging from individuals finding solace and familial bonding during the lockdown—equating it to a period of celebration to those experiencing severe hardships. These hardships included undertaking long-distance travel on foot without adequate sustenance and facing limited access to medical care. The diverse experiences observed align, to some extent, with the theoretical frameworks of Marx and Weber, showcasing the varied socio-economic repercussions of the lockdown measures. Originality/Value: This research sheds light on the complex dynamics of pandemic interventions on livelihoods within the Nepali context. It provides valuable insights to understand and mitigate the multifaceted impacts of such measures on various societal layers.

Impact of COVID-19 Lockdown on NO2 Pollution and the Associated Health Burden in China: A Comparison of Different Approaches.

So far, a large number of studies have quantified the effect of COVID-19 lockdown measures on air quality in different countries worldwide. However, few studies have compared the influence of different approaches on the estimation results. The present study aimed to utilize a random forest machine learning approach as well as a difference-to-difference approach to explore the effect of lockdown policy on nitrogen dioxide (NO2) concentration during COVID-19 outbreak period in mainland China. Datasets from 2017 to 2019 were adopted to establish the random forest models, which were then applied to predict the NO2 concentrations in 2020, representing a scenario without the lockdown effect. The results showed that random forest models achieved remarkable predictive accuracy for predicting NO2 concentrations, with index of agreement values ranging between 0.34 and 0.76. Compared with the modelled NO2 concentrations, on average, the observed NO2 concentrations decreased by approximately 16 µg/m3 in the lockdown period in 2020. The difference-to-difference approach tended to underestimate the influence of COVID-19 lockdown measures. Due to the improvement of NO2 pollution, around 3722 non-accidental premature deaths were avoided in the studied population. The presented machine learning modelling framework has a great potential to be transferred to other short-term events with abrupt pollutant emission changes.

Effect of COVID-19 lockdowns on maxillofacial fractures in New Zealand: a retrospective study

Introduction: The New Zealand Accidents Compensation Corporation received 28,901 new claims for maxillofacial fractures between January 2018 and December 2021, at an annual cost of NZ$70–80 million. We have previously reported interpersonal violence as the most common cause of maxillofacial fractures disproportionately affecting young Māori males. This study provides an update on the incidence and cause of maxillofacial fractures with a specific review of the impact of COVID-19 lockdowns. Methods: Patients referred to the Wellington Regional Plastic, Maxillofacial and Burns Unit from 1 January 2018 to 31 December 2021 were identified from our maxillofacial fracture database. Age, ethnicity, gender, cause of injury, risk factors, and fracture pattern and management were analysed. Results: Out of 1281 patients identified, 75.2 per cent were male, most commonly (38.7%) aged 16–30 years. Interpersonal violence, falls and sports accounted for 37.6 per cent, 24.9 per cent, and 24.0 per cent of all maxillofacial fractures, respectively. Māori (22.0%) and New Zealand Europeans (55.7%) were the two largest groups, most commonly affected by interpersonal violence and falls, respectively. There was a relative increase in referral rates for females and for those older than 60 years (1.78 per 10 person-days versus 0.014 per 10 person-days and 4.2 per 10 person-days versus 1.8 per 10 person-days, respectively) and a decrease in the rates of interpersonal violence and sports related referrals (1.2 per 10 person-days versus 3.4 per 10 person-days and 0.41 per 10 person-days versus 2.19 per 10 person-days, respectively) during COVID-19 lockdowns, compared with outside lockdown. Conclusions: Interpersonal violence remains the main cause of maxillofacial fractures. There is a need for a national prevention strategy to reduce this. During COVID-19 lockdowns, there was a relative increase in the referral rates of females aged 60 years and over. Both sports and interpersonal violence showed significantly reduced referral rates during lockdowns, while falls, road traffic accidents and other were referred at a similar rate as out of lockdown.

COVID-19 lockdown impact on air quality and associated health benefit in two contrasting urban cities in Eastern Indo Gangetic Plain

A key challenge in controlling deteriorating urban air quality is a lack of clear understanding of the regional emissions characteristics and their impact on human health. COVID-19 lockdown provided an opportunity to enhance understanding of background air quality. Towards this, we studied the effect of the lockdown on air pollutants level and associated health benefits in two contrasting urban cities of Eastern IGP, Asansol (industrial) and Kolkata (metropolitan), by analyzing data from 2019 to 2021. The outcomes revealed that the level of exceedance of air pollutants is usually higher in Asansol but significantly decreased in both cities during the lockdown period. Particle concentrations were reduced by 50–70 % compared to Pre-Lockdown and by 20–35 % against the same period in 2019. Kolkata witnessed a higher reduction in PM levels than Asansol. Diurnal variation comparison showed a higher reduction of particle levels during lockdown in the morning at Asansol while in the evening at Kolkata. The health benefits associated with the reduction in PM2.5 concentration were quantified using the BenMAP-CE model, which revealed that improving air quality, like during the lockdown period, would save annually 0.46 and 2.91 deaths per 100,000 persons in Asansol and Kolkata, respectively. Altogether, this study's outcomes provide essential insights to policymakers for regional factors associated to varying air quality and health benefits associated to improvement in air quality.

Impact of COVID-19 lockdown on children with neurodevelopmental disorders

Impact of COVID-19 lockdown on children with neurodevelopmental disorders

A causal machine-learning framework for studying policy impact on air pollution: A case-study in COVID-19 lockdowns.

When studying the impact of policy interventions or natural experiments on air pollution, such as new environmental policies and opening or closing an industrial facility, careful statistical analysis is needed to separate causal changes from other confounding factors. Using COVID-19 lockdowns as a case-study, we present a comprehensive framework for estimating and validating causal changes from such perturbations. We propose using flexible machine learning-based comparative interrupted time series (CITS) models for estimating such a causal effect. We outline the assumptions required to identify causal effects, showing that many common methods rely on strong assumptions that are relaxed by machine learning models. For empirical validation, we also propose a simple diagnostic criterion, guarding against false effects in baseline years when there was no intervention. The framework is applied to study the impact of COVID-19 lockdowns on NO2 in the eastern US. The machine learning approaches guard against false effects better than common methods and suggest decreases in NO2 in Boston, New York City, Baltimore, and Washington D.C. The study showcases the importance of our validation framework in selecting a suitable method and the utility of a machine learning based CITS model for studying causal changes in air pollution time series.

A Comparitive Study of Physical Activity, Academic Performance and Stress Level Among Pharmacy and Non-Pharmacy Students - Before, During and After Covid19 Lockdown

Aims and Objectives: To compare the impact of COVID19 lockdown on physical activity, academic performance and stress levels among Pharmacy and Non-Pharmacy students in 3 timeframes- before, during and after lockdown. Methods: This is a Cross-sectional retrospective study conducted for a period of 6 months. The data was collected both online and offline. All college going students who had attended regular offline classes before lockdown were included. A total of 880 students were included in the study. A self-prepared questionnaire was used to collect data. The association was calculated using Chi-square test and p-value of less than or equal to 0.05 was fixed as level of significance. Results: Analysing the data from 880 students, we found that while non-pharmacy students exercise regularly (67% vs 55.7%), they also spend more time (>8 hours/day) using electronic gadgets (62.9% vs 51.8%). Sleep duration was less, 4-6 hours/day for all students after lockdown (80%), due to sudden overload of class work. Both groups reported difficulty in online learning due to network issues, unfamiliarity with online classes, difficulty in notes taking and unavailability of book resources. Stress levels were high for all, but pharmacy students showed higher anxiety about academics and future careers, while non-pharmacy students reported greater stress in interpersonal relationships. Conclusion: We thus conclude that Pharmacy students might benefit from targeted workshops on exam anxiety and future career planning, while Non-Pharmacy students might benefit from support groups or workshops on building positive interpersonal relationships. Both categories of students may benefit from counseling regarding time management, effective phone usage and the importance of 7-8 hours sleep at night.

The Impact of COVID-19 Lockdowns on Adult Mental Health

Background Lockdowns and restrictions were introduced worldwide by governments in 2020 and 2021 in a bid to contain the spread of COVID-19. Lockdowns restricted the movement of people, whereby they could only leave their homes for essential reasons. There is yet to be a systematic review that integrates existing quantitative literature on the impact of lockdowns on mental health globally. Aim The purpose of the current study was to assess and synthesise current quantitative research on the global impact of COVID-19 lockdowns and isolation restrictions on adult mental wellbeing. The target group was adults aged 18 years and over internationally. Method Findings from 16 quantitative cross-sectional surveys and questionnaire studies from peer-reviewed journals were synthesised in this systematic literature review. Results Themes that emerged from the findings included increased depression, anxiety symptoms, and stress, and reduced social interaction and sleep quality. Conclusion The impact of COVID-19 lockdowns on mental health was evident through the shared experiences of insomnia, loneliness, physiological changes, and reduced sleep quality. An increased prevalence of depression, anxiety, and stress symptoms was common in younger adults and more so in women than men.

Unveiling the lockdown effects: exploring behavior, dietary habits and weight changes in rural Egypt during COVID-19 lockdown: a cross-sectional retrospective study

BackgroundThe COVID-19 lockdown significantly impacted dietary habits and body weights globally, particularly in Egypt, where 57.03% of the population resides in rural areas, despite lack of information. The study examines the impact of COVID-19 lockdown on the weight changes of the rural Egyptian population through behavioral, physical, and dietary changes.MethodsA cross-sectional online survey using Microsoft Forms was distributed in Delta regions in Egypt. The questionnaire used a modified version of the validated 14- items PREDIMED MedDiet Adherence Screener (MEDAS). The first part of the questionnaire addressed sociodemographic variables whereas the second one included questions related to dietary, behavioral and weight changes of participants. These changes were statistically tested for significance in relation to BMI, gender, home living, current job and family history of obesity.ResultsA total of 306 participated in the study (70% females, 13% obese, 95% living with family, 56% university students, and 36% with family history of obesity). Obese showed a significant increase in sweet intake whereas underweight and normal weight people displayed a significant decrease in eating desire. Both females and males showed significant increase in consumption of fruits and vegetables with significant decrease in soft drink. However, women showed a significant decrease in sport activity relative to men. Participants living with family showed an increase in sweet intake while those living alone explored an increase in meal frequency. Employers revealed a significant decrease in sport activities and people with family history of obesity reported more sleeping times than those without family history of obesity.ConclusionDuring Covid-19 quarantine, Egyptians’ eating habits improved, but daily routines were disrupted. Raising awareness about obesity and providing guidance on maintaining activity, energy, and mood is crucial for future quarantine situations.

Global health benefits of shipping emission reduction in early 2020

The impact of COVID-19 lockdown on the absolute concentration of air pollutant has been widely investigated, whereas the impact of lockdown on global shipping-related air pollutants still remained poorly understood because the contribution of individual source cannot be observed directly. In our study, we employed an efficient chemical transport model (GEOS-Chem) to quantify the shipping-related PM2.5, NO2, and O3 levels in early 2019 and 2020, and assessed the impact of COVID-19 lockdown on global shipping-related air pollutants and health effects. The result suggested that shipping-related global PM2.5, NO2, and O3 levels reduced by 14%, 85%, and 1%, respectively. Furthermore, the decreasing ratios of air pollutants in difference regions often suffered from large spatial discrepancy. PM2.5 and NO2 levels in China, India, Europe, and the United States decreased by 6.5% (NO2: 9%), 7.4% (8%), 11% (8.6%), and 15% (10%), which could be caused by dense shipping activities during the non-lockdown period. For O3 concentrations, the shipping-related concentrations in China, India, Europe, and the United States showed 0.7%, −12.9%, 16.6%, and −4.8% during lockdown period, respectively. The relatively slight O3 reduction might be linked with more significant decrease of NOx emission than VOCs. The changes of air pollutant concentrations inevitably led to the variations of health benefits. Globally, the all-cause mortalities caused by shipping-related PM2.5 exposures reached 40,464 (95% CI: 26,546, 54,382) and 39,035 (95% CI: 25,135, 52,935) cases in early 2019 and 2020, respectively. The combined health benefits of PM2.5, NO2, and O3 linked with shipping emission reduction in China, India, Europe, and the United States reached 476 (95% CI: 131, 822), 3341 (95% CI: 3,177, 3505), 2194 (95% CI: −970, 5358), and 311 (95% CI: 242, 379), respectively. Our study confirms the potentially considerable effects of shipping emission on multiple air pollutants and health impacts, which could provide valuable information for air quality management.

The impact of COVID-19 lockdown on physical activity and sedentary behaviour in secondary school teachers: a prospective cohort study

BackgroundMid-March 2020, Belgium went in lockdown to combat the COVID-19-pandemic. Having to provide school-based day care and adapt to online teaching, while all social, cultural and sports events and activities were cancelled, secondary school teachers’ physical activity (PA) and sedentary behaviour (SB) may have been affected considerably. This study investigates the impact of the first Belgian lockdown on PA and SB in Flemish secondary school teachers.MethodsThis prospective cohort study was conducted throughout the 2019–2020 school year. PA and SB measured in March/April 2020 were compared with a pre-lockdown measurement in January/February 2020. Other pre-lockdown measurements (September/October 2019 and November/December 2019) and one other during-lockdown measurement (May/June 2020) allowed us to control for confounding. Validated questionnaires were used to assess participants’ PA and SB. Generalized linear mixed models were applied in R.ResultsAmong 624 participants (77·2% females, 43·3 ± 10·3 years), increases were observed for total PA (+ 108 min/week; p = 0·047), moderate PA (+ 217 min/week; p = 0·001), domestic and garden PA (+ 308 min/week; p < 0·0001) and leisure-time PA (+ 131 min/week; p < 0·0001), whereas work-related PA (-289 min/week; p < 0·0001) and active transportation (-38 min/week; p =0·005) decreased. No differences were observed for walking (p = 1·0) and vigorous PA (p = 0·570). Increases were found for total SB (+ 972 min/week; p < 0·0001), work-related SB (+ 662 min/week; p < 0·0001) and leisure-time SB (+ 592 min/week; p = 0·0004), whereas transport-related SB (-290 min/week; p < 0·0001) decreased.ConclusionDuring the lockdown, we found in our sample that Flemish secondary school teachers showed an increase in SB that was 9 times as high as their PA increase. As a government, education network or school, it is crucial to sensitize, promote, and facilitate sufficient MVPA and/or walking, but likewise to discourage SB during pandemic-induced lockdowns.

Median Breslow thickness during, post and pre-COVID-19 lockdown and correlation with socioeconomic factors.

e21574 Background: Access to routine cancer care during COVID-19 pandemic was greatly affected. The impact of this on melanoma care is unknown. Breslow thickness (BT) was seen to decrease and then increase during and post-COVID-19 lockdown in Italy. Here, we aim to study the impact of COVID-19 lockdown on melanoma care in the United States. Methods: Patients diagnosed with cutaneous melanoma (CM) pre (September 15th 2019-March 14th 2020), during (March 15th-June 14th 2020), and post-lockdown (June 15th-December 14th 2020) were retrospectively studied using Metropolitan Detroit Cancer Surveillance System (MDCSS) database. Patients without an identifiable primary lesion, or with ocular, mucosal, or acral melanoma were excluded. Demographic and clinical characteristics were reviewed. The primary endpoint was median BT during and post vs pre-lockdown. Fisher's exact and Kruskal-Wallis tests were performed for categorical and continuous variables, respectively, to compare groups. Interaction in subgroup analyses was assessed using likelihood ratio tests. Linear regression analyses were performed with Box-Cox transformed BT. Cox proportional hazards regression analyses were performed for overall survival. Covariates for multivariable analysis were selected using LASSO-based penalized regression models. Results: 802 patients were included (pre N = 347, during N = 87, post N = 368). Patients diagnosed with CM post-lockdown were younger (age &lt; 50 years pre = 14%, during = 13%, post = 23%). More patients diagnosed pre-lockdown carried government-issued insurance (pre = 48%, during = 39%, post = 38%). No difference (diff) in median BT was seen between periods (median = 0.6mm for pre, during, and pos). Married status was associated with a lower BT vs unmarried (diff = -0.19, 95% CI -0.36 to -0.014, p = 0.034) and higher census tract poverty level was associated with a higher BT (5%-10% diff = 0.17, 95% CI 0.004 to 0.33, p = 0.045; 10%-100% diff = 0.27, 95% CI 0.093 to 0.45, p = 0.003) vs 0-5% poverty on univariable analysis. Male gender was associated with a lower BT on multivariable analysis (diff = -0.12, 95% CI -0.20 to -0.04, p = 0.005) and lower risk of death on univariable analysis (HR = 0.50, 95% CI 0.31 to 0.82, p = 0.006). Conclusions: We found no difference in median BT during and post- vs pre-lockdown. We also identified at-risk populations (female, unmarried, and living in greater poverty areas) who could benefit from proactive melanoma care. Time to surgery from initial diagnosis during and post vs pre-lockdown would be of interest to study further.

Impact of Covid-19 lockdowns on the anthropometric development in primary school children in the Rhein-Neckar Region, Germany

BackgroundPublished data suggests that lockdowns during the COVID-19 pandemic may have negatively affected children’s weight development. This study aims to assess the prevalence of overweight and obesity after the COVID-19 lockdowns as well as anthropometric development among primary school children in the Rhein-Neckar Region, Germany.MethodsIn this cross-sectional study, schools were selected in cooperation with the local health authority to include different socioeconomic backgrounds. Participation was voluntary at school and individual level, requiring written informed consent from legal guardians. Study visits in schools were conducted between October 2021 and July 2022. Anthropometric data from nationally recommended medical examinations at 4 years (U8) and 5 years (U9), data on nutrition, physical activity, and socioeconomic data was collected using questionnaires. zBMI and weight category were calculated based on German reference data.Results256 children with a mean age of 8.0 years (7.1–9.3 years) were included in the study. Most participants were from households with an above average income. 5.1% of the children were overweight, 4.7% were obese, 15.6% were underweight, and 74.6% were normal weight with a mean zBMI of -0.25 (SD 1.10), which is significantly lower than the mean zBMI of the German reference population (p < 0.001). No significant changes in zBMI were observed between U8 and U9 (p = 0.16). The mean zBMI decreased by 0.17 (SD 0.72) between U9 and the study visit (p = 0.02). A zBMI decrease of 0.5 was documented for the subgroup of overweight and obese children (p = 0.028) as well as a decrease of 0.23 (SD 0.63) for the normal-weight children subgroup (p < 0.001).ConclusionsContrary to previous reports mean zBMI decreased significantly in the children studied. No significant changes in zBMI were observed between U8 and U9 examinations, which supports the hypothesis that the decrease in zBMI could be attributed to lockdown measures. The study was registered at clinicaltrials.gov on September 21st 2021 under the registration number NCT05077059.