Assignment Prompt & Instructions
Please see attached
**files (2)**
– ## Assessment40604.docx
– ## Assessment1-1.Attempt1.docx.pdf
**## Assessment40604.docx**
For this assessment, you will conclude the clinical learning activity you began in Assessment 1.
**Please see attached**
You will resume the role of a community nurse tasked with addressing the specific health concern in your community. This time, you will present, via educational outreach, the hypothetical health promotion plan you developed in Assessment 1 to your fictitious audience. In this hypothetical scenario, you will simulate the presentation as though it would be live and face-to-face. You must determine an effective teaching strategy, communicate the plan with professionalism and cultural sensitivity, evaluate the objectives of the plan, revise the plan as applicable, and propose improvement for future educational sessions. To engage your audience, you decide to
**Develop a PowerPoint presentation with voice-over and speaker notes with script to communicate your plan.**
Complete the following:
·
**Prepare a 10–12 slide PowerPoint presentation with a voice-over and detailed speaker notes and script** that reflects your hypothetical presentation. This presentation is the implementation of the plan you created in Assessment 1. The speaker notes should be well organized. Be sure to include a transcript of the voice-over (please refer to the PowerPoint tutorial). The transcript can be submitted on a separate Word document.
· Simulate the hypothetical face-to-face educational session addressing the health concern and health goals of your selected community individual or group.
· Imagine collaborating with the hypothetical participant(s) in setting goals for the session, evaluating session outcomes, and suggesting possible revisions to improve future sessions.
Supporting Evidence
Support your plan with at least three professional or scholarly references, published within the last 5 years, which may include peer-reviewed articles, course study resources, and Healthy People 2030 resources.
**## Assessment1-1.Attempt1.docx.pdf**
1
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
September ,2026
2
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
Adult obesity remains a leading community health concern because it increases chronic
disease risk and reduces quality of life (Office of Disease Prevention and Health Promotion
[ODPHP], n.d.-a). This hypothetical plan describes a 60-minute face-to-face session for
community-dwelling working-age adults in Columbus, Ohio. The plan examines the issue, finds
a vulnerable population, maps social factors, and establishes collaborative SMART objectives to
be achieved in the subsequent educational session.
Analysis of the Health Concern
Adults with a body mass index (BMI) of 30 kg/m² or higher are classified as having
obesity (Emmerich et al., 2024). Obesity increases the risk of type 2 diabetes, cardiovascular
disease, stroke, some types of cancer, and decreased quality of life (ODPHP, n.d.-a). Healthy
People 2030 goal NWS-03 targets to decrease adult obesity to 36.0% (ODPHP, n.d.-b). The most
recent age-adjusted estimate is 40.2% in 2021-2023, and the change is not significant (ODPHP,
n.d.-b). August 2021 to August 2023 National Health and Nutrition Examination Survey data
show 40.3% of adults with obesity, 46.4% of adults ages 40–59, and 9.4% with severe obesity
(Emmerich et al., 2024).
The maps of the 2024 Behavioral Risk Factor Surveillance System indicate that all
reporting states are at 25% or more (Centers for Disease Control and Prevention [CDC], 2025).
The Midwest leads at 35.9%, and Ohio remains at or above 35% (CDC, 2025). In most states,
Black and Hispanic adults have a higher rate of obesity compared to White and Asian adults and
decreases with education (CDC, 2025). Clinicians are supposed to provide or make referrals to
3
adults with a BMI of 30 and above to intensive, multicomponent behavioral interventions (U.S.
Preventive Services Task Force [USPSTF], 2018). These programs result in an average weight
loss of 1.56 kg among lower-income adults, with the greatest weight loss due to incentives and
feedback (Li et al., 2024).
This plan assumes attendees are contemplating change, will report usual intake and
activity honestly, and will accept four-week follow-up. It assumes beverages, walking, and
home-food changes can start without medication. Uncertainty remains: BMI imperfectly marks
risk across groups, stigma can reduce attendance, and shift work plus food cost limit what one
hour can change. Expected outcomes are skills and a first supported attempt, not a large
immediate BMI drop.
Target Population, Scenario, and Predisposing Factors
The session is a 60-minute evening class at the Linden Community Recreation Center in
Columbus, Ohio. After recruiting them by use of flyers, church bulletins, and two local work
sites, eight community-dwelling adults will be invited. None of them reside in a hospital, assisted
living, nursing home, or other institution.
The sample consists of five females and three males aged 36-56 years. There are four
non-Hispanic Black, two non-Hispanic White, and two Hispanic. Six evening or rotating shifts in
warehousing, food service, or retail. Education ranges from a high school diploma to some
college, and income is about $32,000–$54,000. Five have school-going children. It covers both
Medicaid and high-deductible plans. BMI values range from 31 to 39. Daily sodas, late takeout,
and fewer than 60 minutes of planned activity per week are common.
4
Tanya R. is a 47-year-old married non-Hispanic Black warehouse associate and mother
of two who earns about $41,000. Her last BMI was 34.8 kg/m². Fasting glucose last year was in
the prediabetes range, and her mother has type 2 diabetes. She does not eat breakfast, consumes a
few sodas during working days, orders carryout most evenings, and has never maintained a food
diary.
This group is predisposed to obesity because rates peak in midlife and among adults
without a bachelor’s degree (Emmerich et al., 2024). In most states that report, obesity is at 35%
or more prevalent in Black adults (CDC, 2025). The adult rate is higher than the NWS-03 target
in Ohio (CDC, 2025). Healthy habits and intensive treatment are limited by shift work, low
access to evening groceries, the density of carryout, caregiving, and high deductibles (USPSTF,
2018). A recreation center class can access those workers who do not visit a primary-care weight
visit frequently.
Sociogram Considerations and Learning Needs
A sociogram will map ties that sustain energy-dense eating and inactivity and ties that
could support change. Respondents will identify who they will eat with, who would not welcome
change, and who would assist them in walking, cooking, or avoiding sugary beverages. Arrows
will indicate influence to enable the nurse to recognize stars, isolates, and the work-versus-home
split.
Some of the risk ties are overtime to dinner, colleagues who share carryout, children who
like packaged foods, local soda stores, and family members who consider second helpings as a
sign of hospitality. Family history includes Tanya’s mother with diabetes. Protective
5
relationships consist of a walking spouse, a teen who is ready to pack lunches, the center
coordinator, and a primary-care nurse.
Participants know excess weight raises diabetes risk but cannot explain BMI categories or
the 5%–7% prevention threshold (ODPHP, n.d.-a). They have not been practicing label reading
and step goals and are unaware that there are local track hours and Diabetes Prevention Program
cohorts. The session will educate on energy balance, compare carryout with packed lunch,
practice a brief walk, finish the sociogram, and establish a single collaborative goal.
Current Behaviors, Session Expectations, and Collaborative SMART Goals
The current behaviors are daily sodas, frequent carryout, missed breakfast, minimal
planned activity, and no log. The expectations include full attendance, truthful reporting,
sociogram work, one teach-back, and at least one personal goal. Supports include plain-language
visuals, a lunch comparison, a short track walk, printed logs, and a two-minute private goal talk.
Agreed-upon goals matter because change lasts longer when participants help define
success (MacLeod, 2012). MacLeod suggests specific, measurable, achievable, relevant, and
time-bound objectives, which are also engaging and rewarding. The cooperation between the
desire to cook at home and the fear of rejected food or lost time of walking appears. Shared goals
are the evaluation criteria for Assessment 4. Working with Tanya and the group produced the
following SMART goals. By the end of the 60-minute session, each participant will state their
current BMI category and list three personal triggers with one realistic substitute for each, shown
on a worksheet and confirmed by teach-back.
6
1. Within seven days, at least six of eight participants will complete a three-day food-and-
step log and identify one 30-minute walking block on four workdays, confirmed by
follow-up contact.
2. Within four weeks, each participant will replace sugar-sweetened beverages on at least
five days each week and accumulate at least 150 minutes of moderate activity or 8,000
steps on at least four days each week or will record a barrier and a revised plan.
These goals follow assessment, counseling, skill practice, and self-monitoring (USPSTF,
2018). They remain realistic because similar behavioral programs produce modest, measurable
change (Li et al., 2024). The same goals will be used to evaluate the later educational session.
7
References
Centers for Disease Control and Prevention. (2025). Adult obesity prevalence maps. U.S.
Department of Health and Human Services. https://www.cdc.gov/obesity/data-and-
statistics/adult-obesity-prevalence-maps.html
Emmerich, S. D., Fryar, C. D., Stierman, B., & Ogden, C. L. (2024). Obesity and severe obesity
prevalence in adults: United States, August 2021–August 2023 (NCHS Data Brief No.
508). National Center for Health Statistics. https://doi.org/10.15620/cdc/159281
Li, P., Huang, Y., & Wong, A. (2024). Behavioural strategies to reduce obesity among lower
socio-economic adults living in high-income countries: A Grades of Recommendation,
Assessment, Development and Evaluation-assessed systematic review and meta-analysis
of randomised controlled trials. British Journal of Nutrition, 131(3), 544–552.
https://doi.org/10.1017/S0007114523001940
MacLeod, L. (2012). Making SMART goals smarter. Physician Executive, 38(2), 68–72.
Office of Disease Prevention and Health Promotion. (n.d.-a). Overweight and obesity. Healthy
People 2030. U.S. Department of Health and Human Services.
https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity
Office of Disease Prevention and Health Promotion. (n.d.-b). Reduce the proportion of adults
with obesity (NWS-03). Healthy People 2030. U.S. Department of Health and Human
Services. https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03
U.S. Preventive Services Task Force. (2018). Behavioral weight loss interventions to prevent
obesity-related morbidity and mortality in adults: US Preventive Services Task Force
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://doi.org/10.15620/cdc/159281](https://doi.org/10.15620/cdc/159281)
[https://doi.org/10.1017/S0007114523001940](https://doi.org/10.1017/S0007114523001940)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
8
recommendation statement. JAMA, 320(11), 1163–1171.
https://doi.org/10.1001/jama.2018.13022
[https://doi.org/10.1001/jama.2018.13022](https://doi.org/10.1001/jama.2018.13022)
**## Assessment1-1.Attempt1.docx.pdf**
1
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
September ,2026
2
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
Adult obesity remains a leading community health concern because it increases chronic
disease risk and reduces quality of life (Office of Disease Prevention and Health Promotion
[ODPHP], n.d.-a). This hypothetical plan describes a 60-minute face-to-face session for
community-dwelling working-age adults in Columbus, Ohio. The plan examines the issue, finds
a vulnerable population, maps social factors, and establishes collaborative SMART objectives to
be achieved in the subsequent educational session.
Analysis of the Health Concern
Adults with a body mass index (BMI) of 30 kg/m² or higher are classified as having
obesity (Emmerich et al., 2024). Obesity increases the risk of type 2 diabetes, cardiovascular
disease, stroke, some types of cancer, and decreased quality of life (ODPHP, n.d.-a). Healthy
People 2030 goal NWS-03 targets to decrease adult obesity to 36.0% (ODPHP, n.d.-b). The most
recent age-adjusted estimate is 40.2% in 2021-2023, and the change is not significant (ODPHP,
n.d.-b). August 2021 to August 2023 National Health and Nutrition Examination Survey data
show 40.3% of adults with obesity, 46.4% of adults ages 40–59, and 9.4% with severe obesity
(Emmerich et al., 2024).
The maps of the 2024 Behavioral Risk Factor Surveillance System indicate that all
reporting states are at 25% or more (Centers for Disease Control and Prevention [CDC], 2025).
The Midwest leads at 35.9%, and Ohio remains at or above 35% (CDC, 2025). In most states,
Black and Hispanic adults have a higher rate of obesity compared to White and Asian adults and
decreases with education (CDC, 2025). Clinicians are supposed to provide or make referrals to
3
adults with a BMI of 30 and above to intensive, multicomponent behavioral interventions (U.S.
Preventive Services Task Force [USPSTF], 2018). These programs result in an average weight
loss of 1.56 kg among lower-income adults, with the greatest weight loss due to incentives and
feedback (Li et al., 2024).
This plan assumes attendees are contemplating change, will report usual intake and
activity honestly, and will accept four-week follow-up. It assumes beverages, walking, and
home-food changes can start without medication. Uncertainty remains: BMI imperfectly marks
risk across groups, stigma can reduce attendance, and shift work plus food cost limit what one
hour can change. Expected outcomes are skills and a first supported attempt, not a large
immediate BMI drop.
Target Population, Scenario, and Predisposing Factors
The session is a 60-minute evening class at the Linden Community Recreation Center in
Columbus, Ohio. After recruiting them by use of flyers, church bulletins, and two local work
sites, eight community-dwelling adults will be invited. None of them reside in a hospital, assisted
living, nursing home, or other institution.
The sample consists of five females and three males aged 36-56 years. There are four
non-Hispanic Black, two non-Hispanic White, and two Hispanic. Six evening or rotating shifts in
warehousing, food service, or retail. Education ranges from a high school diploma to some
college, and income is about $32,000–$54,000. Five have school-going children. It covers both
Medicaid and high-deductible plans. BMI values range from 31 to 39. Daily sodas, late takeout,
and fewer than 60 minutes of planned activity per week are common.
4
Tanya R. is a 47-year-old married non-Hispanic Black warehouse associate and mother
of two who earns about $41,000. Her last BMI was 34.8 kg/m². Fasting glucose last year was in
the prediabetes range, and her mother has type 2 diabetes. She does not eat breakfast, consumes a
few sodas during working days, orders carryout most evenings, and has never maintained a food
diary.
This group is predisposed to obesity because rates peak in midlife and among adults
without a bachelor’s degree (Emmerich et al., 2024). In most states that report, obesity is at 35%
or more prevalent in Black adults (CDC, 2025). The adult rate is higher than the NWS-03 target
in Ohio (CDC, 2025). Healthy habits and intensive treatment are limited by shift work, low
access to evening groceries, the density of carryout, caregiving, and high deductibles (USPSTF,
2018). A recreation center class can access those workers who do not visit a primary-care weight
visit frequently.
Sociogram Considerations and Learning Needs
A sociogram will map ties that sustain energy-dense eating and inactivity and ties that
could support change. Respondents will identify who they will eat with, who would not welcome
change, and who would assist them in walking, cooking, or avoiding sugary beverages. Arrows
will indicate influence to enable the nurse to recognize stars, isolates, and the work-versus-home
split.
Some of the risk ties are overtime to dinner, colleagues who share carryout, children who
like packaged foods, local soda stores, and family members who consider second helpings as a
sign of hospitality. Family history includes Tanya’s mother with diabetes. Protective
5
relationships consist of a walking spouse, a teen who is ready to pack lunches, the center
coordinator, and a primary-care nurse.
Participants know excess weight raises diabetes risk but cannot explain BMI categories or
the 5%–7% prevention threshold (ODPHP, n.d.-a). They have not been practicing label reading
and step goals and are unaware that there are local track hours and Diabetes Prevention Program
cohorts. The session will educate on energy balance, compare carryout with packed lunch,
practice a brief walk, finish the sociogram, and establish a single collaborative goal.
Current Behaviors, Session Expectations, and Collaborative SMART Goals
The current behaviors are daily sodas, frequent carryout, missed breakfast, minimal
planned activity, and no log. The expectations include full attendance, truthful reporting,
sociogram work, one teach-back, and at least one personal goal. Supports include plain-language
visuals, a lunch comparison, a short track walk, printed logs, and a two-minute private goal talk.
Agreed-upon goals matter because change lasts longer when participants help define
success (MacLeod, 2012). MacLeod suggests specific, measurable, achievable, relevant, and
time-bound objectives, which are also engaging and rewarding. The cooperation between the
desire to cook at home and the fear of rejected food or lost time of walking appears. Shared goals
are the evaluation criteria for Assessment 4. Working with Tanya and the group produced the
following SMART goals. By the end of the 60-minute session, each participant will state their
current BMI category and list three personal triggers with one realistic substitute for each, shown
on a worksheet and confirmed by teach-back.
6
1. Within seven days, at least six of eight participants will complete a three-day food-and-
step log and identify one 30-minute walking block on four workdays, confirmed by
follow-up contact.
2. Within four weeks, each participant will replace sugar-sweetened beverages on at least
five days each week and accumulate at least 150 minutes of moderate activity or 8,000
steps on at least four days each week or will record a barrier and a revised plan.
These goals follow assessment, counseling, skill practice, and self-monitoring (USPSTF,
2018). They remain realistic because similar behavioral programs produce modest, measurable
change (Li et al., 2024). The same goals will be used to evaluate the later educational session.
7
References
Centers for Disease Control and Prevention. (2025). Adult obesity prevalence maps. U.S.
Department of Health and Human Services. https://www.cdc.gov/obesity/data-and-
statistics/adult-obesity-prevalence-maps.html
Emmerich, S. D., Fryar, C. D., Stierman, B., & Ogden, C. L. (2024). Obesity and severe obesity
prevalence in adults: United States, August 2021–August 2023 (NCHS Data Brief No.
508). National Center for Health Statistics. https://doi.org/10.15620/cdc/159281
Li, P., Huang, Y., & Wong, A. (2024). Behavioural strategies to reduce obesity among lower
socio-economic adults living in high-income countries: A Grades of Recommendation,
Assessment, Development and Evaluation-assessed systematic review and meta-analysis
of randomised controlled trials. British Journal of Nutrition, 131(3), 544–552.
https://doi.org/10.1017/S0007114523001940
MacLeod, L. (2012). Making SMART goals smarter. Physician Executive, 38(2), 68–72.
Office of Disease Prevention and Health Promotion. (n.d.-a). Overweight and obesity. Healthy
People 2030. U.S. Department of Health and Human Services.
https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity
Office of Disease Prevention and Health Promotion. (n.d.-b). Reduce the proportion of adults
with obesity (NWS-03). Healthy People 2030. U.S. Department of Health and Human
Services. https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03
U.S. Preventive Services Task Force. (2018). Behavioral weight loss interventions to prevent
obesity-related morbidity and mortality in adults: US Preventive Services Task Force
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://doi.org/10.15620/cdc/159281](https://doi.org/10.15620/cdc/159281)
[https://doi.org/10.1017/S0007114523001940](https://doi.org/10.1017/S0007114523001940)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
8
recommendation statement. JAMA, 320(11), 1163–1171.
https://doi.org/10.1001/jama.2018.13022
[https://doi.org/10.1001/jama.2018.13022](https://doi.org/10.1001/jama.2018.13022)
**## Assessment40604.docx**
For this assessment, you will conclude the clinical learning activity you began in Assessment 1.
**Please see attached**
You will resume the role of a community nurse tasked with addressing the specific health concern in your community. This time, you will present, via educational outreach, the hypothetical health promotion plan you developed in Assessment 1 to your fictitious audience. In this hypothetical scenario, you will simulate the presentation as though it would be live and face-to-face. You must determine an effective teaching strategy, communicate the plan with professionalism and cultural sensitivity, evaluate the objectives of the plan, revise the plan as applicable, and propose improvement for future educational sessions. To engage your audience, you decide to
**Develop a PowerPoint presentation with voice-over and speaker notes with script to communicate your plan.**
Complete the following:
·
**Prepare a 10–12 slide PowerPoint presentation with a voice-over and detailed speaker notes and script** that reflects your hypothetical presentation. This presentation is the implementation of the plan you created in Assessment 1. The speaker notes should be well organized. Be sure to include a transcript of the voice-over (please refer to the PowerPoint tutorial). The transcript can be submitted on a separate Word document.
· Simulate the hypothetical face-to-face educational session addressing the health concern and health goals of your selected community individual or group.
· Imagine collaborating with the hypothetical participant(s) in setting goals for the session, evaluating session outcomes, and suggesting possible revisions to improve future sessions.
Supporting Evidence
Support your plan with at least three professional or scholarly references, published within the last 5 years, which may include peer-reviewed articles, course study resources, and Healthy People 2030 resources.
**## Assessment1-1.Attempt1.docx.pdf**
1
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
September ,2026
2
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
Adult obesity remains a leading community health concern because it increases chronic
disease risk and reduces quality of life (Office of Disease Prevention and Health Promotion
[ODPHP], n.d.-a). This hypothetical plan describes a 60-minute face-to-face session for
community-dwelling working-age adults in Columbus, Ohio. The plan examines the issue, finds
a vulnerable population, maps social factors, and establishes collaborative SMART objectives to
be achieved in the subsequent educational session.
Analysis of the Health Concern
Adults with a body mass index (BMI) of 30 kg/m² or higher are classified as having
obesity (Emmerich et al., 2024). Obesity increases the risk of type 2 diabetes, cardiovascular
disease, stroke, some types of cancer, and decreased quality of life (ODPHP, n.d.-a). Healthy
People 2030 goal NWS-03 targets to decrease adult obesity to 36.0% (ODPHP, n.d.-b). The most
recent age-adjusted estimate is 40.2% in 2021-2023, and the change is not significant (ODPHP,
n.d.-b). August 2021 to August 2023 National Health and Nutrition Examination Survey data
show 40.3% of adults with obesity, 46.4% of adults ages 40–59, and 9.4% with severe obesity
(Emmerich et al., 2024).
The maps of the 2024 Behavioral Risk Factor Surveillance System indicate that all
reporting states are at 25% or more (Centers for Disease Control and Prevention [CDC], 2025).
The Midwest leads at 35.9%, and Ohio remains at or above 35% (CDC, 2025). In most states,
Black and Hispanic adults have a higher rate of obesity compared to White and Asian adults and
decreases with education (CDC, 2025). Clinicians are supposed to provide or make referrals to
3
adults with a BMI of 30 and above to intensive, multicomponent behavioral interventions (U.S.
Preventive Services Task Force [USPSTF], 2018). These programs result in an average weight
loss of 1.56 kg among lower-income adults, with the greatest weight loss due to incentives and
feedback (Li et al., 2024).
This plan assumes attendees are contemplating change, will report usual intake and
activity honestly, and will accept four-week follow-up. It assumes beverages, walking, and
home-food changes can start without medication. Uncertainty remains: BMI imperfectly marks
risk across groups, stigma can reduce attendance, and shift work plus food cost limit what one
hour can change. Expected outcomes are skills and a first supported attempt, not a large
immediate BMI drop.
Target Population, Scenario, and Predisposing Factors
The session is a 60-minute evening class at the Linden Community Recreation Center in
Columbus, Ohio. After recruiting them by use of flyers, church bulletins, and two local work
sites, eight community-dwelling adults will be invited. None of them reside in a hospital, assisted
living, nursing home, or other institution.
The sample consists of five females and three males aged 36-56 years. There are four
non-Hispanic Black, two non-Hispanic White, and two Hispanic. Six evening or rotating shifts in
warehousing, food service, or retail. Education ranges from a high school diploma to some
college, and income is about $32,000–$54,000. Five have school-going children. It covers both
Medicaid and high-deductible plans. BMI values range from 31 to 39. Daily sodas, late takeout,
and fewer than 60 minutes of planned activity per week are common.
4
Tanya R. is a 47-year-old married non-Hispanic Black warehouse associate and mother
of two who earns about $41,000. Her last BMI was 34.8 kg/m². Fasting glucose last year was in
the prediabetes range, and her mother has type 2 diabetes. She does not eat breakfast, consumes a
few sodas during working days, orders carryout most evenings, and has never maintained a food
diary.
This group is predisposed to obesity because rates peak in midlife and among adults
without a bachelor’s degree (Emmerich et al., 2024). In most states that report, obesity is at 35%
or more prevalent in Black adults (CDC, 2025). The adult rate is higher than the NWS-03 target
in Ohio (CDC, 2025). Healthy habits and intensive treatment are limited by shift work, low
access to evening groceries, the density of carryout, caregiving, and high deductibles (USPSTF,
2018). A recreation center class can access those workers who do not visit a primary-care weight
visit frequently.
Sociogram Considerations and Learning Needs
A sociogram will map ties that sustain energy-dense eating and inactivity and ties that
could support change. Respondents will identify who they will eat with, who would not welcome
change, and who would assist them in walking, cooking, or avoiding sugary beverages. Arrows
will indicate influence to enable the nurse to recognize stars, isolates, and the work-versus-home
split.
Some of the risk ties are overtime to dinner, colleagues who share carryout, children who
like packaged foods, local soda stores, and family members who consider second helpings as a
sign of hospitality. Family history includes Tanya’s mother with diabetes. Protective
5
relationships consist of a walking spouse, a teen who is ready to pack lunches, the center
coordinator, and a primary-care nurse.
Participants know excess weight raises diabetes risk but cannot explain BMI categories or
the 5%–7% prevention threshold (ODPHP, n.d.-a). They have not been practicing label reading
and step goals and are unaware that there are local track hours and Diabetes Prevention Program
cohorts. The session will educate on energy balance, compare carryout with packed lunch,
practice a brief walk, finish the sociogram, and establish a single collaborative goal.
Current Behaviors, Session Expectations, and Collaborative SMART Goals
The current behaviors are daily sodas, frequent carryout, missed breakfast, minimal
planned activity, and no log. The expectations include full attendance, truthful reporting,
sociogram work, one teach-back, and at least one personal goal. Supports include plain-language
visuals, a lunch comparison, a short track walk, printed logs, and a two-minute private goal talk.
Agreed-upon goals matter because change lasts longer when participants help define
success (MacLeod, 2012). MacLeod suggests specific, measurable, achievable, relevant, and
time-bound objectives, which are also engaging and rewarding. The cooperation between the
desire to cook at home and the fear of rejected food or lost time of walking appears. Shared goals
are the evaluation criteria for Assessment 4. Working with Tanya and the group produced the
following SMART goals. By the end of the 60-minute session, each participant will state their
current BMI category and list three personal triggers with one realistic substitute for each, shown
on a worksheet and confirmed by teach-back.
6
1. Within seven days, at least six of eight participants will complete a three-day food-and-
step log and identify one 30-minute walking block on four workdays, confirmed by
follow-up contact.
2. Within four weeks, each participant will replace sugar-sweetened beverages on at least
five days each week and accumulate at least 150 minutes of moderate activity or 8,000
steps on at least four days each week or will record a barrier and a revised plan.
These goals follow assessment, counseling, skill practice, and self-monitoring (USPSTF,
2018). They remain realistic because similar behavioral programs produce modest, measurable
change (Li et al., 2024). The same goals will be used to evaluate the later educational session.
7
References
Centers for Disease Control and Prevention. (2025). Adult obesity prevalence maps. U.S.
Department of Health and Human Services. https://www.cdc.gov/obesity/data-and-
statistics/adult-obesity-prevalence-maps.html
Emmerich, S. D., Fryar, C. D., Stierman, B., & Ogden, C. L. (2024). Obesity and severe obesity
prevalence in adults: United States, August 2021–August 2023 (NCHS Data Brief No.
508). National Center for Health Statistics. https://doi.org/10.15620/cdc/159281
Li, P., Huang, Y., & Wong, A. (2024). Behavioural strategies to reduce obesity among lower
socio-economic adults living in high-income countries: A Grades of Recommendation,
Assessment, Development and Evaluation-assessed systematic review and meta-analysis
of randomised controlled trials. British Journal of Nutrition, 131(3), 544–552.
https://doi.org/10.1017/S0007114523001940
MacLeod, L. (2012). Making SMART goals smarter. Physician Executive, 38(2), 68–72.
Office of Disease Prevention and Health Promotion. (n.d.-a). Overweight and obesity. Healthy
People 2030. U.S. Department of Health and Human Services.
https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity
Office of Disease Prevention and Health Promotion. (n.d.-b). Reduce the proportion of adults
with obesity (NWS-03). Healthy People 2030. U.S. Department of Health and Human
Services. https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03
U.S. Preventive Services Task Force. (2018). Behavioral weight loss interventions to prevent
obesity-related morbidity and mortality in adults: US Preventive Services Task Force
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://doi.org/10.15620/cdc/159281](https://doi.org/10.15620/cdc/159281)
[https://doi.org/10.1017/S0007114523001940](https://doi.org/10.1017/S0007114523001940)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
8
recommendation statement. JAMA, 320(11), 1163–1171.
https://doi.org/10.1001/jama.2018.13022
[https://doi.org/10.1001/jama.2018.13022](https://doi.org/10.1001/jama.2018.13022)
**## Assessment40604.docx**
For this assessment, you will conclude the clinical learning activity you began in Assessment 1.
**Please see attached**
You will resume the role of a community nurse tasked with addressing the specific health concern in your community. This time, you will present, via educational outreach, the hypothetical health promotion plan you developed in Assessment 1 to your fictitious audience. In this hypothetical scenario, you will simulate the presentation as though it would be live and face-to-face. You must determine an effective teaching strategy, communicate the plan with professionalism and cultural sensitivity, evaluate the objectives of the plan, revise the plan as applicable, and propose improvement for future educational sessions. To engage your audience, you decide to
**Develop a PowerPoint presentation with voice-over and speaker notes with script to communicate your plan.**
Complete the following:
·
**Prepare a 10–12 slide PowerPoint presentation with a voice-over and detailed speaker notes and script** that reflects your hypothetical presentation. This presentation is the implementation of the plan you created in Assessment 1. The speaker notes should be well organized. Be sure to include a transcript of the voice-over (please refer to the PowerPoint tutorial). The transcript can be submitted on a separate Word document.
· Simulate the hypothetical face-to-face educational session addressing the health concern and health goals of your selected community individual or group.
· Imagine collaborating with the hypothetical participant(s) in setting goals for the session, evaluating session outcomes, and suggesting possible revisions to improve future sessions.
Supporting Evidence
Support your plan with at least three professional or scholarly references, published within the last 5 years, which may include peer-reviewed articles, course study resources, and Healthy People 2030 resources.
**## Assessment1-1.Attempt1.docx.pdf**
1
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
September ,2026
2
Health Promotion Plan: Adult Obesity in a Columbus, Ohio Community Group
Adult obesity remains a leading community health concern because it increases chronic
disease risk and reduces quality of life (Office of Disease Prevention and Health Promotion
[ODPHP], n.d.-a). This hypothetical plan describes a 60-minute face-to-face session for
community-dwelling working-age adults in Columbus, Ohio. The plan examines the issue, finds
a vulnerable population, maps social factors, and establishes collaborative SMART objectives to
be achieved in the subsequent educational session.
Analysis of the Health Concern
Adults with a body mass index (BMI) of 30 kg/m² or higher are classified as having
obesity (Emmerich et al., 2024). Obesity increases the risk of type 2 diabetes, cardiovascular
disease, stroke, some types of cancer, and decreased quality of life (ODPHP, n.d.-a). Healthy
People 2030 goal NWS-03 targets to decrease adult obesity to 36.0% (ODPHP, n.d.-b). The most
recent age-adjusted estimate is 40.2% in 2021-2023, and the change is not significant (ODPHP,
n.d.-b). August 2021 to August 2023 National Health and Nutrition Examination Survey data
show 40.3% of adults with obesity, 46.4% of adults ages 40–59, and 9.4% with severe obesity
(Emmerich et al., 2024).
The maps of the 2024 Behavioral Risk Factor Surveillance System indicate that all
reporting states are at 25% or more (Centers for Disease Control and Prevention [CDC], 2025).
The Midwest leads at 35.9%, and Ohio remains at or above 35% (CDC, 2025). In most states,
Black and Hispanic adults have a higher rate of obesity compared to White and Asian adults and
decreases with education (CDC, 2025). Clinicians are supposed to provide or make referrals to
3
adults with a BMI of 30 and above to intensive, multicomponent behavioral interventions (U.S.
Preventive Services Task Force [USPSTF], 2018). These programs result in an average weight
loss of 1.56 kg among lower-income adults, with the greatest weight loss due to incentives and
feedback (Li et al., 2024).
This plan assumes attendees are contemplating change, will report usual intake and
activity honestly, and will accept four-week follow-up. It assumes beverages, walking, and
home-food changes can start without medication. Uncertainty remains: BMI imperfectly marks
risk across groups, stigma can reduce attendance, and shift work plus food cost limit what one
hour can change. Expected outcomes are skills and a first supported attempt, not a large
immediate BMI drop.
Target Population, Scenario, and Predisposing Factors
The session is a 60-minute evening class at the Linden Community Recreation Center in
Columbus, Ohio. After recruiting them by use of flyers, church bulletins, and two local work
sites, eight community-dwelling adults will be invited. None of them reside in a hospital, assisted
living, nursing home, or other institution.
The sample consists of five females and three males aged 36-56 years. There are four
non-Hispanic Black, two non-Hispanic White, and two Hispanic. Six evening or rotating shifts in
warehousing, food service, or retail. Education ranges from a high school diploma to some
college, and income is about $32,000–$54,000. Five have school-going children. It covers both
Medicaid and high-deductible plans. BMI values range from 31 to 39. Daily sodas, late takeout,
and fewer than 60 minutes of planned activity per week are common.
4
Tanya R. is a 47-year-old married non-Hispanic Black warehouse associate and mother
of two who earns about $41,000. Her last BMI was 34.8 kg/m². Fasting glucose last year was in
the prediabetes range, and her mother has type 2 diabetes. She does not eat breakfast, consumes a
few sodas during working days, orders carryout most evenings, and has never maintained a food
diary.
This group is predisposed to obesity because rates peak in midlife and among adults
without a bachelor’s degree (Emmerich et al., 2024). In most states that report, obesity is at 35%
or more prevalent in Black adults (CDC, 2025). The adult rate is higher than the NWS-03 target
in Ohio (CDC, 2025). Healthy habits and intensive treatment are limited by shift work, low
access to evening groceries, the density of carryout, caregiving, and high deductibles (USPSTF,
2018). A recreation center class can access those workers who do not visit a primary-care weight
visit frequently.
Sociogram Considerations and Learning Needs
A sociogram will map ties that sustain energy-dense eating and inactivity and ties that
could support change. Respondents will identify who they will eat with, who would not welcome
change, and who would assist them in walking, cooking, or avoiding sugary beverages. Arrows
will indicate influence to enable the nurse to recognize stars, isolates, and the work-versus-home
split.
Some of the risk ties are overtime to dinner, colleagues who share carryout, children who
like packaged foods, local soda stores, and family members who consider second helpings as a
sign of hospitality. Family history includes Tanya’s mother with diabetes. Protective
5
relationships consist of a walking spouse, a teen who is ready to pack lunches, the center
coordinator, and a primary-care nurse.
Participants know excess weight raises diabetes risk but cannot explain BMI categories or
the 5%–7% prevention threshold (ODPHP, n.d.-a). They have not been practicing label reading
and step goals and are unaware that there are local track hours and Diabetes Prevention Program
cohorts. The session will educate on energy balance, compare carryout with packed lunch,
practice a brief walk, finish the sociogram, and establish a single collaborative goal.
Current Behaviors, Session Expectations, and Collaborative SMART Goals
The current behaviors are daily sodas, frequent carryout, missed breakfast, minimal
planned activity, and no log. The expectations include full attendance, truthful reporting,
sociogram work, one teach-back, and at least one personal goal. Supports include plain-language
visuals, a lunch comparison, a short track walk, printed logs, and a two-minute private goal talk.
Agreed-upon goals matter because change lasts longer when participants help define
success (MacLeod, 2012). MacLeod suggests specific, measurable, achievable, relevant, and
time-bound objectives, which are also engaging and rewarding. The cooperation between the
desire to cook at home and the fear of rejected food or lost time of walking appears. Shared goals
are the evaluation criteria for Assessment 4. Working with Tanya and the group produced the
following SMART goals. By the end of the 60-minute session, each participant will state their
current BMI category and list three personal triggers with one realistic substitute for each, shown
on a worksheet and confirmed by teach-back.
6
1. Within seven days, at least six of eight participants will complete a three-day food-and-
step log and identify one 30-minute walking block on four workdays, confirmed by
follow-up contact.
2. Within four weeks, each participant will replace sugar-sweetened beverages on at least
five days each week and accumulate at least 150 minutes of moderate activity or 8,000
steps on at least four days each week or will record a barrier and a revised plan.
These goals follow assessment, counseling, skill practice, and self-monitoring (USPSTF,
2018). They remain realistic because similar behavioral programs produce modest, measurable
change (Li et al., 2024). The same goals will be used to evaluate the later educational session.
7
References
Centers for Disease Control and Prevention. (2025). Adult obesity prevalence maps. U.S.
Department of Health and Human Services. https://www.cdc.gov/obesity/data-and-
statistics/adult-obesity-prevalence-maps.html
Emmerich, S. D., Fryar, C. D., Stierman, B., & Ogden, C. L. (2024). Obesity and severe obesity
prevalence in adults: United States, August 2021–August 2023 (NCHS Data Brief No.
508). National Center for Health Statistics. https://doi.org/10.15620/cdc/159281
Li, P., Huang, Y., & Wong, A. (2024). Behavioural strategies to reduce obesity among lower
socio-economic adults living in high-income countries: A Grades of Recommendation,
Assessment, Development and Evaluation-assessed systematic review and meta-analysis
of randomised controlled trials. British Journal of Nutrition, 131(3), 544–552.
https://doi.org/10.1017/S0007114523001940
MacLeod, L. (2012). Making SMART goals smarter. Physician Executive, 38(2), 68–72.
Office of Disease Prevention and Health Promotion. (n.d.-a). Overweight and obesity. Healthy
People 2030. U.S. Department of Health and Human Services.
https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity
Office of Disease Prevention and Health Promotion. (n.d.-b). Reduce the proportion of adults
with obesity (NWS-03). Healthy People 2030. U.S. Department of Health and Human
Services. https://odphp.health.gov/healthypeople/objectives-and-data/browse-
objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03
U.S. Preventive Services Task Force. (2018). Behavioral weight loss interventions to prevent
obesity-related morbidity and mortality in adults: US Preventive Services Task Force
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html](https://www.cdc.gov/obesity/data-and-statistics/adult-obesity-prevalence-maps.html)
[https://doi.org/10.15620/cdc/159281](https://doi.org/10.15620/cdc/159281)
[https://doi.org/10.1017/S0007114523001940](https://doi.org/10.1017/S0007114523001940)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
[https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03](https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03)
8
recommendation statement. JAMA, 320(11), 1163–1171.
https://doi.org/10.1001/jama.2018.13022
[https://doi.org/10.1001/jama.2018.13022](https://doi.org/10.1001/jama.2018.13022)