| Course | N489 Community Health Nursing I |
|---|---|
| Module | Module 2 |
| Paper type | Epidemiology paper |
| Length | About 1,055 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Pre-licensure BSN |
| Updated | September 2026 |
Free sample paper for N489 Module 2
From 26.8% to 35,500 Adults: Prevalence, Adjusted Rates and Incidence Using Pueblo County's Own Numbers
Student Name
Pre-licensure BSN Program, Aspen University
N489: Community Health Nursing I
Instructor Name
Month Day, Year
From 26.8% to 35,500 Adults: Prevalence, Adjusted Rates and Incidence Using Pueblo County's Own Numbers
Epidemiology gives community health nurses a way to describe how much of a health problem exists, who has it and whether it is changing. This paper applies basic epidemiologic measures to real data for Pueblo County, Colorado, focusing on adult physical inactivity and related conditions. It explains prevalence, crude and age-adjusted rates, confidence intervals and incidence, and it shows what each means for planning. County figures come from the 2025 PLACES release and the 2020-2024 American Community Survey; the incidence example uses a practice data set, labeled as such, because incidence data for this measure are not published at the county level.
Prevalence
Prevalence measures what share of a population has a condition at one point or period in time. In the PLACES estimates, the crude prevalence of no leisure-time physical activity among Pueblo County adults in 2023 was 26.8% (Centers for Disease Control and Prevention [CDC], 2025). The American Community Survey counts 132,452 adults aged 18 and older in the county (U.S. Census Bureau, 2025). Multiplying gives an estimate of about 35,500 adults who report no physical activity in their free time. Turning a percentage into a count matters for planning: a walking program for 200 people reaches well under 1% of the adults it is meant to help.
Crude and Age-Adjusted Rates
A crude rate describes the population as it is. An age-adjusted rate recalculates the rate as if the population had a standard age structure, which allows fair comparison between places with different age mixes. Pueblo County's figures show the difference clearly.
| Measure | Crude | Age-adjusted |
|---|---|---|
| No leisure-time physical activity | 26.8% | 25.7% |
| Diagnosed diabetes | 12.3% | 10.4% |
| High blood pressure | 32.2% | 28.1% |
| Coronary heart disease | 6.9% | 5.5% |
Reading the Difference
In every row, the crude rate is higher than the age-adjusted rate, because Pueblo County is older than the standard population and older adults have more diabetes, high blood pressure and heart disease. The crude rates tell the nurse how much disease the county actually has to care for. The age-adjusted rates tell the nurse whether the county is unusual after allowing for its age. For inactivity, the two differ by only about one percentage point, which suggests the county's high inactivity is not explained by age alone. This matters for planning because it means activity programs cannot simply target the oldest residents; working-age adults in the county are also less active than their neighbors elsewhere.
Confidence Intervals
PLACES estimates are modeled, not counted, so each comes with a 95% confidence interval. For inactivity, Pueblo's interval runs from 22.6% to 31.6%, El Paso County's from 15.9% to 22.1% and Denver County's from 14.2% to 20.3% (CDC, 2025). Pueblo's interval does not overlap Denver's and barely touches El Paso's upper limit, so the difference is unlikely to be chance. A nurse presenting data to a community group should mention the interval, since a single number can suggest more precision than exists.
Comparing Places Fairly
Fair comparison needs the same measure, the same year and, where ages differ, age-adjusted rates. Using age-adjusted values, Pueblo's inactivity is 25.7% against El Paso's 18.9% and Denver's 17.5%. Pueblo ranks fourth highest of Colorado's 64 counties on the crude measure. Setting the county beside the national 21.8% goal also calls for caution, because the national objective uses a different survey (Office of Disease Prevention and Health Promotion [ODPHP], n.d.).
Estimating Related Burdens
The same method can estimate the burden of conditions linked to inactivity. Applying Pueblo County's crude prevalence estimates to its 132,452 adults gives roughly 42,600 adults with high blood pressure, 42,500 with obesity and 16,300 with diagnosed diabetes (Centers for Disease Control and Prevention [CDC], 2025; U.S. Census Bureau, 2025). These counts overlap, since many adults have more than one condition, so they cannot be added together. They do show why a program that raises activity could affect several conditions at once, which strengthens the case for investing in it.
Incidence
Incidence counts how many people newly develop a condition among those who were free of it, over a stated period. It requires following people who do not have the condition at the start. County incidence of inactivity is not published, so the example uses a practice data set, invented for teaching: a clinic follows 400 adults aged 50 to 64 who were active at a first visit. Over two years, 48 become inactive. The cumulative incidence is 48 divided by 400, or 12% over two years. If the group together contributed 760 person-years of follow-up, because some left the clinic early, the incidence rate is 48 per 760 person-years, or about 6.3 per 100 person-years. The two measures answer different questions: cumulative incidence tells the clinic what share of its group became inactive, while the rate adjusts for people followed for different lengths of time.
Prevalence and Incidence Together
A condition's prevalence rises when new cases keep appearing, and it also rises when existing cases last longer, so both forces show up in the same figure. Inactivity that begins with a new injury or a job loss and continues for years raises prevalence even if incidence is steady. For planning, prevalence tells the nurse how many people need help now, while incidence tells the nurse whether prevention is working to stop new cases. A program aimed at people approaching retirement, for example, would try to lower incidence in that group.
What the Numbers Mean for Nursing
Epidemiology turns a vague impression, that people in Pueblo are less active, into measured statements a planning group can use: about one adult in four reports no leisure activity, roughly 35,500 people, a rate well above nearby counties even after adjusting for age. These numbers justify attention and funding, and they set a baseline for evaluation. Public health nursing texts stress that nurses must be able to read and explain such data to partners and residents (Stanhope & Lancaster, 2020).
Conclusion
Applied to Pueblo County, basic epidemiology shows a large and real burden of inactivity: 26.8% of adults, about 35,500 people, higher than neighboring counties after age adjustment and with confidence intervals that support the difference. Incidence, taught here with practice data, adds the question of how many new cases arise. Together, these measures give the community health nurse a baseline for the plans that follow.
References
Centers for Disease Control and Prevention. (2025). PLACES: Local data for better health, county data, 2025 release [Data set]. https://data.cdc.gov/d/swc5-untb
Office of Disease Prevention and Health Promotion. (n.d.). Reduce the proportion of adults who do no physical activity in their free time (PA-01). Healthy People 2030. https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/physical-activity/reduce-proportion-adults-who-do-no-physical-activity-their-free-time-pa-01
Stanhope, M., & Lancaster, J. (2020). Public health nursing: Population-centered health care in the community (10th ed.). Elsevier.
U.S. Census Bureau. (2025). American Community Survey 5-year estimates, 2020-2024 [Data set]. https://data.census.gov
Reading the N489 Module 2 assignment instructions
Epidemiologic concepts are named in Aspen's N489 description, and the example was built around that wording since the module's own directions reach only students in the class. An epidemiology assignment typically asks you to define measures such as rates, incidence and prevalence, calculate them with local data and interpret what they mean for a community. Some instructors provide data; others ask you to find county or state figures. Check whether crude and age-adjusted rates must both be discussed, whether confidence intervals are expected, whether invented practice data are allowed for measures your source does not publish, and how calculations should be shown. Label any practice numbers clearly. Ask as well whether your instructor wants the calculations written out step by step.
How the N489 Module 2 example is put together
The paper holds about 1,035 words in eleven sections and one rate table. The introduction names the measures and sources. Prevalence is explained and converted into a count. The table compares crude and age-adjusted rates for four measures, and a section reads the differences. Confidence intervals and fair comparison between counties follow. A section estimates related disease burdens while warning against adding them. Incidence is taught with a labeled practice data set, and a section explains how prevalence and incidence relate. The paper closes with what the numbers mean for nursing and a short conclusion that restates the baseline. Each measure is defined before it is calculated.
Where the marks sit in the N489 Module 2 rubric
Epidemiology papers are usually graded on correct definitions, accurate calculations, sound interpretation and honest handling of data limits. Definitions are correct and brief. Calculations are shown and accurate, from the inactive count to the incidence rate, and a margin note credits turning prevalence into a count for planning. Interpretation goes beyond numbers, explaining what the crude and adjusted rates mean for the county. Limits are handled honestly, with confidence intervals reported and practice data labeled, which a second note highlights. A third note praises the warning against summing overlapping burdens. Rates laid out in one table, and every data source dated in the reference list, secure what remains. Keeping every figure tied to one county also makes the paper easy to follow.
N489 Module 2 help: mistakes that cost marks
The most frequent error is reporting a percentage without saying what population and year it describes. State both. Students also compare crude rates across places with different age structures, which can mislead. Use age-adjusted rates for comparison. Another common mistake is presenting invented numbers as real data. If a measure is not published for your area, use a practice data set and label it plainly. Some papers add up the counts for several conditions, double-counting people with more than one. Say they overlap. Finally, report confidence intervals, since modeled estimates can look more precise than they are. Show each calculation so a reader can check it.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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N489 Module 2 questions, answered
What does N489 Module 2 usually ask for?
Aspen's N489 description includes applying epidemiologic concepts, so calculating and interpreting rates, incidence and prevalence with local data is a typical assignment. Check your classroom for the prompt.
What is the difference between crude and age-adjusted rates?
A crude rate describes the population as it is; an age-adjusted rate recalculates it as if the population had a standard age structure, allowing fair comparison between places.
Can I make up data for an incidence calculation?
Only if you clearly label it as a practice data set. Never present invented numbers as real county or state data.
Where can I find a free N489 Module 2 sample paper?
The county epidemiology paper is printed above in full, from the inactive count to the practice incidence set, and no fee applies. It is the second N489 sample.
How do I calculate incidence for N489 Module 2?
For cumulative incidence, set the new cases against everyone at risk when follow-up began; for a rate, set them against the total person-time observed.