Building forward better—An exploration of nutrition practices, food choice, and coping behaviors among Kenyan adolescents during COVID-19: Experiences and program implications

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Study Justification:
– The study aimed to examine the impact of the COVID-19 pandemic on adolescent nutrition practices and related behaviors in Nairobi and Uasin Gishu Counties, Kenya.
– It sought to understand how the pandemic affected food choices, coping strategies, and physical activity among adolescents.
– The study aimed to provide insights into the challenges faced by adolescents and identify program implications to improve their nutrition and well-being.
Study Highlights:
– Adolescents tended to avoid junk foods and prioritize “immune boosting, protective” foods during the pandemic.
– Widespread unemployment and reduced parental income made certain foods unaffordable for families, leading to skipping meals and reduced food variety.
– Adolescents employed strategies such as working in the informal sector and selling personal items to support their families during food insecurity.
– School closures during the pandemic likely contributed to decreased physical activity among adolescents.
– Programs should capitalize on the healthy mindset brought on by the pandemic and strengthen social protection measures and agricultural initiatives to address rising food insecurity.
– Building practical life skills among adolescents to encourage healthy nutrition actions is crucial for recovery from the pandemic.
Recommendations for Lay Readers and Policy Makers:
– Strengthen and target social protection measures and agricultural initiatives to support vulnerable families with adolescents and mitigate the effects of food insecurity.
– Develop programs that build on the healthy mindset brought on by the pandemic to promote nutritious food choices among adolescents.
– Implement practical life skills training to empower adolescents to make healthy nutrition decisions.
– Address the impact of school closures on physical activity by promoting alternative forms of exercise and recreational activities.
– Collaborate with government officials, implementing partners, and community stakeholders to ensure effective implementation of recommended interventions.
Key Role Players:
– Government officials from the Ministry of Health, Ministry of Agriculture, and Ministry of Education.
– Implementing partners working on nutrition, agriculture, and education programs.
– Community health volunteers and health facility providers.
– Non-governmental organizations (NGOs) working on adolescent health and nutrition.
– Academic researchers and experts in nutrition and public health.
Cost Items for Planning Recommendations:
– Budget for social protection measures, including cash transfers and food assistance programs.
– Funding for agricultural initiatives, such as promoting sustainable farming practices and providing agricultural inputs to vulnerable families.
– Resources for developing and implementing practical life skills training programs for adolescents.
– Investment in alternative forms of physical activity, such as sports equipment and recreational facilities.
– Funding for research and monitoring to evaluate the effectiveness of interventions and make necessary adjustments.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on qualitative data collected through focus group discussions, interviews, and key informant interviews. While these methods provide valuable insights and perspectives, they may not be generalizable to the larger population. To improve the strength of the evidence, the study could consider incorporating quantitative data collection methods, such as surveys, to provide a more comprehensive understanding of the impact of the COVID-19 pandemic on adolescent nutrition practices. Additionally, the study could include a larger sample size and ensure diversity in terms of socioeconomic status and geographic location to enhance the representativeness of the findings.

This implementation research study sought to examine the impact of the COVID-19 pandemic on adolescent nutrition practices and related behaviors in Nairobi and Uasin Gishu Counties, Kenya. Eight focus group discussions (FGDs) were conducted with adolescents 10–19 years of age, in-depth interviews with 10 health facility providers, and a combination of FGDs (n-4) and key informant interviews with government stakeholder and implementing partners (n = 9). During the pandemic, adolescents tended to avoid commonly consumed junk foods, in favor of “immune boosting, protective” foods. Widespread unemployment and reductions in parental income rendered some food items such as meat, eggs, and fruits unaffordable for families of adolescents. Adolescents relayed experiences of skipping meals and reducing the amount and variety of foods consumed. Adolescents also described employing strategies such as working in the informal sector and selling personal items to support families financially, in response to rising food insecurity. School closures mandated during the pandemic likely contributed to reductions in overall physical activity. To improve the diets of adolescents, programs should build on the healthy mindset brought on by the pandemic, while strengthening, targeting, and improving access to social protection measures and agricultural initiatives for vulnerable families with adolescents to cushion them from rising food insecurity as an effect of COVID-19. Building practical adolescent life skills to encourage healthy nutrition actions will also be key to building forward from the COVID-19 pandemic in Kenya.

Consensus from key government, partner organization, and academic stakeholders in the country, through various national technical working groups (i.e., MIYCN Technical Working Group, Research Technical Working Group; Ministry of Health, Kenya), was garnered to determine criteria for study site selection. Criteria for study site inclusion were as follows: (1) counties with the highest COVID‐19 burden based on MOH data on COVID‐19 infections/cases; (2) one urban and one rural county; (3) one county which experienced at least one government lockdown versus. one county that did not experience a lockdown during the course of COVID‐19 pandemic; and (4) counties which included persons of low socioeconomic status who resided in informal settlements were selected in consultation with the government officials, and Ministry of Health country data. Ultimately, Nairobi and Uasin Gishu counties had the highest burden of COVID‐19 cases in Kenya (Ministry of Health (MoH), Kenya, 2021) and met study criteria for selection. In Nairobi County, urban Embakasi East and Kibra subcounties are comprised of informal settlements in the country. Kibra subcounty had the third highest number of COVID‐19 infections in the county, which was notable. In Uasin Gishu County, rural Ainabkoi, and Turbo subcounties, accounted for almost half of the COVID‐19 infections within a county which had not experienced a mandated COVID‐19 lockdown. Fieldwork occurred between August and September 2021, and country caseloads of COVID‐19, per available Ministry of Health data were 36,479 and 10,331 for August and September, respectively (Ministry of Health – Republic of Kenya, 2022). Data collection for adolescents was part of a larger implementation research study collecting qualitative information from pregnant and lactating women on dietary intake, access, and use of health services, while also examining perspectives from health workers, community health volunteers, and food vendors on effects on the health and food systems (Ahoya et al., 2022). While study participants were part of this larger implementation research study, adolescent boys and girls were selected as an independent sample via opportunistic purposeful sampling (Patton, 1990). Data were largely collected in‐person with adolescents, with some virtual data collection for stakeholders, due to the COVID‐19 pandemic. Inclusion criteria for study participation included adolescent boys and girls 10–19 years of age, residents of study sites for at least a 3‐year period, and nonpregnant and/or non‐lactating individuals (i.e., adolescent girls only). Within each study site, local community health volunteers associated with the nearest health facility offering maternal, newborn, and child health services supported the identification of adolescents for study enrollment. In‐depth interviews (IDIs) with facility health workers and key informant interviews (KIIs) and small focus group discussions (FGDs) with key stakeholders (i.e., national and county government officials and key focal points from implementing partner organizations) explored topics such as integration of adolescent nutrition into health services, adolescent food choice and consumption, related adolescent behaviors in response to food insecurity and school closures, and physical activity during the COVID‐19 pandemic. FGDs with adolescents explored the following topics: effect of the pandemic on beliefs and perceptions of foods, decisions around food choice, school attendance, physical activity, and coping strategies during the pandemic. Eight face‐to‐face FGDs were conducted with 54 adolescents, 10–19 years of age, and IDIs with 10 facility health workers (i.e., 6 in‐person and 4 virtual). Virtual data collection, using the Zoom platform, was used for all 18 stakeholders, which was comprised of national and county government officials and implementing partners (except 2 in‐person FGDs, see Table 1). Four small FGDs were carried out with nine county/subcounty stakeholders working on maternal, adolescent, infant, and young child nutrition (MAIYCN) programs, KIIs with national‐level government nutrition officials (n = 4), and KIIs with government officials and implementing partners working in adolescent programming at national and subnational levels (i.e., county and subcounty) (n = 5). COVID‐19 precautions were also followed during face‐to‐face data collection—including donning of face masks during interviews and FGDs, use of hand sanitizers and handwashing with water and soap, as available, and social distancing of 3 m between interviewer and study participant(s). Characteristics of study participants, by methodology and study site, Nairobi and Uasin Gishu Counties Local ethical approval was obtained from the Institutional Ethics Review Committee of Masinde Muliro University of Science and Technology, Kenya, and country‐based research license was obtained from National Commission for Science Technology and Innovation. Verbal informed consent was obtained from study participants. Trained interviewers audio recorded all IDIs and FGDs, which were translated and transcribed verbatim from Swahili into English. The quality of transcriptions was checked for accuracy and completeness against the audio recordings by the Kenyan research team members, alongside local trained transcribers. The researchers (JK, CG, BA , and LR) conducted a preliminary review of the data by reading a subset of the transcripts to create an initial codebook that included major themes and subthemes that emerged from the data. The researchers (JK, CG, BA, and LR) then coded a subset of the transcripts and discussed, and a consensus was reached among research team members regarding any discrepancies in coding. The codebook was further refined and used for coding (see Supplementary File S1). Once coding was complete, researchers looked independently at a subset of transcripts for verification of the themes in the codebook and to confirm any additional emerging concepts. Transcripts were further reviewed and triangulated with corresponding field data collection forms. All transcripts were coded using Dedoose online software. Each subtheme was then summarized, and illustrative quotes were selected (see Table 2). Summary of dominant themes by study participant group, Nairobi (NC) and Uasin Gishu (UGC) Counties R3: “In the morning, black tea with mandazis in case its available. If it’s not, we take it with leftovers from the previous night. Lunch is uncertain. We may or may not eat. Then supper, we take whatever is available and life continues.” R4: “In the morning, we take tea with bread then skip lunch and wait for supper to take ugali with kale mixed with avocado….and then wait for the following day [to eat].” R6: “In the morning, we usually wake up to take tea with 2 mandazis. Then lunch, it’s by chance. We may or may not eat. Then supper, we take what’s available… although mostly it’s served in low quantity to be enough for my small siblings and I.” R7: “Whatever is there is what we take, whether it’s in low or high quantity.”—Adolescent FGD Nairobi County “You see, as before, we [would] wake up around 6 a.m… You see, we would run up to around 8 a.m. But with corona… I don’t remember that last day I did that.”—Adolescent FGD Nairobi County “Boys here love playing football, but now getting an opportunity to play isn’t easy – not unless you play it at your home compound with a few of your friends. But before corona, we could go to play at the community ground. But now since the pandemic, we no longer play there because of restrictions on social gatherings.”—Adolescent FGD Nairobi County “[My parents] lost their jobs, and they were forced to wash clothes for households to get [money].”—Adolescent FGD, Nairobi County “Let me use myself as an example… I sold like my phone, I sold some of my shoes, my trouser … because during that time my parent had nothing completely, he had even come to stay home… so when I sold those things I bought vegetables, sugar, tea leaves… and I told her not to panic because we don’t have… the little that we get is what we will eat.”—Adolescent FGD, Uasin Gishu County

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Mobile Health Clinics: Implementing mobile health clinics that can travel to remote areas or informal settlements, where access to healthcare facilities may be limited. These clinics can provide essential maternal health services, including prenatal care, vaccinations, and postnatal care.

2. Telemedicine: Utilizing telemedicine platforms to provide virtual consultations and follow-ups for pregnant women. This can help overcome barriers such as transportation and distance, allowing women to access healthcare services from the comfort of their homes.

3. Community Health Workers: Training and deploying community health workers who can provide maternal health education, support, and referrals within their communities. These workers can bridge the gap between healthcare facilities and the community, ensuring that pregnant women receive the necessary care and information.

4. Maternal Health Vouchers: Introducing voucher programs that provide pregnant women with subsidized or free access to essential maternal health services. These vouchers can be distributed to vulnerable populations, ensuring that cost is not a barrier to accessing quality care.

5. Public-Private Partnerships: Collaborating with private healthcare providers to expand access to maternal health services. This can involve establishing partnerships to provide affordable or subsidized services, leveraging the existing infrastructure and resources of private facilities.

6. Health Information Systems: Implementing robust health information systems that can track and monitor maternal health indicators. This data can help identify gaps in access and quality of care, enabling targeted interventions and resource allocation.

7. Maternal Health Education: Developing and implementing comprehensive maternal health education programs that target both adolescents and adults. These programs can focus on promoting healthy nutrition practices, proper antenatal care, and the importance of skilled birth attendance.

8. Maternal Health Financing: Exploring innovative financing mechanisms, such as microinsurance or community-based health financing, to ensure that pregnant women have financial protection and can afford the necessary maternal health services.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
Based on the provided description, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthen and expand social protection measures: Implement programs that provide financial support to vulnerable families with adolescents to mitigate the impact of rising food insecurity. This can include cash transfers, food vouchers, or subsidies for essential food items.

2. Enhance agricultural initiatives: Support and promote agricultural programs that focus on sustainable food production and income generation for vulnerable families. This can include training on farming techniques, provision of seeds and tools, and access to markets for selling agricultural products.

3. Integrate adolescent nutrition into health services: Ensure that health facilities and providers are equipped to address the nutritional needs of adolescents. This can involve training health workers on adolescent nutrition, incorporating nutrition counseling into routine health visits, and providing access to nutritious food supplements.

4. Promote healthy nutrition behaviors: Develop and implement educational programs that target adolescents and their families to promote healthy food choices and behaviors. This can include nutrition education sessions, cooking demonstrations, and the dissemination of educational materials on healthy eating.

5. Foster practical life skills: Provide adolescents with the necessary skills to make informed decisions about their nutrition and overall health. This can include life skills training on budgeting, meal planning, and cooking, as well as promoting physical activity and healthy coping strategies.

By implementing these recommendations, it is possible to improve access to maternal health by addressing the nutritional needs of adolescents, promoting healthy behaviors, and providing support to vulnerable families during times of crisis such as the COVID-19 pandemic.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthen social protection measures: Implement programs that provide financial support to vulnerable families with adolescents, specifically targeting maternal health needs. This could include cash transfer programs or vouchers for essential maternal health services.

2. Improve access to agricultural initiatives: Support initiatives that promote sustainable agriculture and food production, particularly in rural areas. This can help increase the availability and affordability of nutritious foods for families, including pregnant and lactating women.

3. Enhance integration of adolescent nutrition into health services: Develop and implement strategies to integrate nutrition education and counseling into existing maternal health services. This can help raise awareness about the importance of healthy nutrition during pregnancy and lactation, and provide guidance on making nutritious food choices.

4. Build practical adolescent life skills: Implement programs that focus on equipping adolescents with practical skills related to nutrition, such as meal planning, cooking, and budgeting. These skills can empower adolescents to make healthier food choices and cope with food insecurity.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could involve the following steps:

1. Define indicators: Identify specific indicators that can measure the impact of the recommendations, such as the percentage of vulnerable families receiving social protection support, the increase in agricultural productivity, the number of health facilities offering integrated nutrition services, and the improvement in adolescent nutrition knowledge and behaviors.

2. Collect baseline data: Gather data on the current status of access to maternal health services, agricultural initiatives, and adolescent nutrition practices. This can include surveys, interviews, and existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified indicators and their interrelationships. This model should consider factors such as population demographics, geographic distribution, and resource availability.

4. Input intervention scenarios: Input different scenarios into the simulation model to represent the implementation of the recommendations. This can involve adjusting variables such as the coverage and effectiveness of social protection measures, the scale of agricultural initiatives, and the extent of integration of nutrition services.

5. Run simulations: Run the simulation model using the baseline data and intervention scenarios to project the potential impact of the recommendations on improving access to maternal health. This can provide estimates of key outcomes, such as the increase in the number of families receiving support, the improvement in food availability and affordability, and the change in adolescent nutrition behaviors.

6. Analyze results: Analyze the simulation results to assess the potential impact of the recommendations. This can involve comparing different scenarios, identifying key drivers of change, and evaluating the feasibility and cost-effectiveness of the interventions.

7. Refine and iterate: Based on the analysis, refine the simulation model and intervention scenarios as needed. Iterate the process to further explore and optimize the potential impact of the recommendations on improving access to maternal health.

It’s important to note that the methodology described above is a general framework and can be adapted and customized based on the specific context and data availability.

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