PUBH 1000 Week 5 Problem Profile Example

Course	PUBH 1000 Foundations of Public Health
Week	Week 5
Paper type	Problem profile
Length	About 690 words, 5 pages
Format	APA 7 student paper
School	Walden University
Program	BS in Public Health
Updated	October 2026

Free sample paper for PUBH 1000 Week 5

One Adult in Five Reports No Leisure-Time Physical Activity: A Problem Profile of Physical Inactivity Among Adults in Lancaster County, Nebraska, Bounded Before the First Number and Sourced Sentence by Sentence

Student Name

Walden University

PUBH 1000: Foundations of Public Health

Instructor Name

Month Day, Year

What this page is doingThe title gives the headline figure and the place, then promises the two habits the profile keeps: defining the population first and sourcing every fact.

The Population

This profile describes adults aged 18 and older living in Lancaster County, Nebraska, a county of about 327,000 residents that includes the city of Lincoln. About 254,000 of those residents are adults (Centers for Disease Control and Prevention [CDC], 2025a). The problem is physical inactivity, measured here as reporting no exercise or physical activity outside of work during the previous month. The profile covers the county's adults as a population; it does not describe or advise any individual.

What this page is doingDefining who is counted before giving any figure means every later number has a clear denominator.

How the Problem Is Measured

The figures come from PLACES, a CDC project that produces local estimates for counties and census tracts using answers from a large national telephone survey of adults run by CDC and the states (Greenlund et al., 2022). The survey asks whether, during the past month, the respondent participated in any physical activities or exercises such as running, gardening or walking for exercise, outside of their regular job. A person who answers no is counted as inactive. Because few survey respondents live in any single county, PLACES estimates are produced by statistical models that combine survey answers with population characteristics. They are estimates with uncertainty, not counts.

How Large Is the Problem?

In the 2025 release, based on 2023 survey data, an estimated 20.2% of adults in Lancaster County reported no leisure-time physical activity, with a 95% confidence interval from 17.3% to 23.4% (CDC, 2025a). Applied to about 254,000 adults, that is roughly 51,000 people. The estimate is the lowest among Nebraska's 93 counties in the same release; the neighboring urban counties of Sarpy and Douglas had estimates of 21.3% and 22.1%, while some rural counties exceeded 30%.

Table 1

Selected Adult Health Estimates, Lancaster County, Nebraska, 2023 Survey Data

Measure	Crude prevalence	95% confidence interval \|
No leisure-time physical activity	20.2%	17.3% to 23.4% \|
Obesity	34.4%	31.0% to 37.8% \|
Diagnosed diabetes	9.6%	8.4% to 11.0% \|
High blood pressure	30.0%	27.6% to 32.4% \|

Note. Model-based estimates from the PLACES 2025 release, county data (CDC, 2025a).

Why It Matters

A county with the lowest inactivity estimate in its state still has about one adult in five reporting no activity outside work. Federal activity guidelines set a weekly target for adults of 150 minutes or more of moderate effort, and they note that some activity is better than none (Piercy et al., 2018). The same guidelines summarize evidence linking regular activity to lower risk of heart disease, type 2 diabetes and several cancers. The county's estimates for obesity, diabetes and high blood pressure, shown in Table 1, describe conditions that physical activity can help prevent or manage, though the table does not show that inactivity caused them.

Where Within the County

The county average hides wide differences. In the PLACES census tract file for the same release, estimates for Lancaster County tracts ranged from about 14% to 32%, leaving aside one tract with only about 200 residents, whose estimate is too unstable to use (CDC, 2025b). A tract with 32% inactivity has more than twice the share of a tract with 14%. The tract file does not explain the difference, and this profile does not guess. Describing where the problem is concentrated is the first step; explaining why belongs to later analysis.

What this page is doingRefusing to explain the tract differences before analysis keeps the profile descriptive, as the assignment requires.

What the Data Cannot Show

Three limits apply. First, the measure is self-reported and covers leisure time only, so a warehouse worker who walks all shift but does not exercise afterward is counted as inactive. Second, the estimates are modeled, so small differences between counties or tracts may not be real. Third, the survey reaches adults by telephone and may underrepresent some groups, such as people without stable housing.

Summary

An estimated 20.2% of Lancaster County adults, roughly 51,000 people, reported no leisure-time physical activity in 2023 survey data. The figure is low for Nebraska but still substantial, and it varies more than twofold across the county's census tracts. The profile identifies where the problem is concentrated and leaves causes and responses to later work.

References

Centers for Disease Control and Prevention. (2025a). PLACES: Local data for better health, county data, 2025 release [Data set]. https://data.cdc.gov/resource/swc5-untb

Centers for Disease Control and Prevention. (2025b). PLACES: Local data for better health, census tract data, 2025 release [Data set]. https://data.cdc.gov/resource/cwsq-ngmh

Greenlund, K. J., Lu, H., Wang, Y., Matthews, K. A., LeClercq, J. M., Lee, B., & Carlson, S. A. (2022). PLACES: Local data for better health. Preventing Chronic Disease, 19, E31. https://doi.org/10.5888/pcd19.210459

Piercy, K. L., Troiano, R. P., Ballard, R. M., Carlson, S. A., Fulton, J. E., Galuska, D. A., George, S. M., & Olson, R. D. (2018). The physical activity guidelines for Americans. JAMA, 320(19), 2020-2028. https://doi.org/10.1001/jama.2018.14854

What the PUBH 1000 Week 5 instructions ask for

Problem profile assignments ask students to describe one health problem in one population using credible data. Instructors look for a clearly bounded population, a precise definition of the problem and figures that name their source, with uncertainty where available. Many prompts ask why the problem matters and how it varies within the population, and they caution against slipping into advice to individuals. A profile of two to three pages with a data table is typical. Students should explain how the data were produced, especially for modeled or survey estimates, and state what the data cannot show. Sources commonly include CDC data products, state and county health reports and national guidelines.

Inside the PUBH 1000 Week 5 example

The profile opens by defining the population: adults in Lancaster County, Nebraska, with counts. A measurement section explains how PLACES produces county and tract estimates from a national survey and what counts as inactive. A size section gives the county estimate with its confidence interval, converts it to an approximate number of people and compares it with other Nebraska counties. Table 1 lists four adult estimates with intervals. A section explains why inactivity matters using national guidelines. A section on variation within the county reports the tract range and declines to explain it. A limits section and a summary close the profile.

PUBH 1000 Week 5 rubric: what earns full marks

Problem profiles are graded on population definition, data quality, accuracy and restraint. The sample defines its population before the first number, which instructors treat as a basic requirement. Data credit comes from a current, named source with confidence intervals and an explanation of how the estimates were produced. Accuracy is shown in correct conversion from percentage to an approximate count. Describing within-county variation, while refusing to guess at causes, demonstrates restraint graders value in a descriptive assignment. Linking the problem to guidelines explains why it matters without turning into advice. Limits are specific to the measure. Tables and references complete the evaluation. Profiles that mix sources without naming them, or that tell readers to exercise, lose marks. Comparing the county with others in its state gives the figure context without overstating it.

PUBH 1000 Week 5 help: mistakes that cost marks

Define the group first: who, where and when. Use one main data source and name it every time you use a figure. Give confidence intervals when the source provides them. Explain how the data were produced, especially if estimates are modeled. Show how the problem varies within your population, but do not guess why. Explain why the problem matters with a credible source, and avoid advice to individuals. List limits that apply to your measure. Send the county you are studying and a first profile drafted from public data is free. Round counts derived from percentages, such as about 51,000, so readers do not mistake an estimate for an exact tally. Note the survey year beside every estimate.

Get a PUBH 1000 Week 5 example written to your instructions

Hand over your Week 5 prompt, the rubric from your classroom, and whichever health problem the section set, and the profile arrives built on that problem. The first custom sample is free, back in 24-48 hours. A profile pitched at a state or at the whole country swaps sources and keeps the same citation-per-sentence discipline.

More PUBH 1000 papers and BS in Public Health samples

PUBH 1000 Week 5 questions, answered

Where can I find a free PUBH 1000 Week 5 sample paper?

The full Week 5 problem profile is posted above, describing adult physical inactivity in Lancaster County, Nebraska, with CDC PLACES estimates and a data table.

What is CDC PLACES?

A CDC project that produces model-based estimates of health measures for counties, cities and census tracts, using national survey data combined with population characteristics.

How is physical inactivity measured in national surveys?

Adults are asked whether they took part in any physical activity or exercise outside their regular job in the past month; those who answer no are counted as inactive.

Why give a confidence interval with a county estimate?

Because the estimate is uncertain. The interval shows the range within which the true value plausibly lies.

Should a problem profile include recommendations?

Usually not. A profile describes the size and distribution of a problem; responses come in later assignments.