| Course | NR 441 Community Health Nursing - Global |
|---|---|
| Week | 5 |
| Paper type | Social determinants analysis |
| Length | About 1,170 words, 6 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | RN-to-BSN |
| Updated | October 2026 |
Free sample paper for NR 441 Week 5
Kidney Failure in the Sugarcane Lowlands of El Salvador: A Determinants Analysis of Chronic Kidney Disease of Nontraditional Cause
Student Name
College of Nursing, Chamberlain University
NR 441: Community Health Nursing - Global
Instructor Name
Month Day, Year
Kidney Failure in the Sugarcane Lowlands of El Salvador: A Determinants Analysis of Chronic Kidney Disease of Nontraditional Cause
The Condition and Why It Stands Out
In El Salvador, kidney disease was the third leading cause of death in 2019 in the World Health Organization's Global Health Estimates, with about 3,800 deaths, a crude rate of about 61 per 100,000 and roughly 10 of every 100 deaths in the country (World Health Organization, 2024). In the United States, by comparison, the crude rate in the same estimates was about 28 per 100,000. Much of El Salvador's excess comes from a form of chronic kidney disease that does not follow the usual pattern. It affects young and middle-aged men, often without diabetes or high blood pressure, and it concentrates in hot, low-lying agricultural communities along the Pacific coast. It is called chronic kidney disease of nontraditional or unknown cause, or Mesoamerican nephropathy when it occurs in Central America (Johnson et al., 2019). Clinically, it is a slowly progressive tubulointerstitial disease that is often discovered late, when a man in his thirties or forties presents with fatigue and an already failing kidney.
This analysis leaves the clinic at that point and follows the condition backward into the conditions that produce it, using the social determinants model of Dahlgren and Whitehead (1991), which arranges determinants in layers: individual factors at the center, then lifestyle, social and community networks, living and working conditions, and finally broad socioeconomic, cultural and environmental conditions.
Individual and Lifestyle Factors
At the center of the model, the individual factors are notable mostly for what is absent. Many affected men have no diabetes and no long history of high blood pressure, the two causes that account for most kidney failure in the United States (Johnson et al., 2019). Lifestyle factors proposed in the region include drinking sugary rehydration drinks or sodas during work, which may add a fructose load to a kidney already under heat stress, and the use of anti-inflammatory pain medicines for the aches of manual labor. These are plausible contributors but carry weaker evidence than the working conditions described next, and they are best understood as ways the work itself reaches the kidney rather than as independent personal choices.
Living and Working Conditions: Heat and Labor
The strongest link in the chain is occupational heat stress. Sugarcane cutting in El Salvador's coastal lowlands is manual work done in temperatures that commonly exceed 30 degrees Celsius, paid by the amount cut, with long hours in full sun. In a cross-shift study of sugarcane cutters in El Salvador, García-Trabanino et al. (2015) measured kidney function and hydration at the start and end of work shifts and found signs of dehydration and falling kidney function across a single shift, with some workers showing changes consistent with acute kidney injury. Repeated injuries of this kind, day after day and harvest after harvest, are the leading explanation for how a working man's kidneys fail by middle age (Johnson et al., 2019). Payment by volume is part of this link: it rewards working through the hottest hours without breaks for water or shade.
The link is well evidenced for El Salvador itself, which matters. Much of the research on this disease comes from Nicaragua and Costa Rica, and evidence from a neighboring country should be marked as imported rather than assumed to apply. The cross-shift study was conducted among Salvadoran workers, which makes this the firmest link in the chain.
Community Conditions: Who Lives Where the Disease Is
The community layer is documented by a population survey. In the Nefrolempa study, researchers examined 775 residents of the Bajo Lempa region, a low-lying agricultural area near the Lempa River, representing most of the resident population. Chronic kidney disease was found in 17.9 of every 100 people, in 25.7 of every 100 men and 11.8 of every 100 women, and most men worked in agriculture (Orantes et al., 2011). The difference between men and women is itself evidence: men in this community do the field work, so a disease driven by conditions of work would be expected to fall more heavily on them. The study also found widespread contact with agricultural chemicals, which remains a debated contributor; the evidence for heat stress is stronger, and the role of agrochemicals is not settled. That uncertainty is a weak link in the chain and is labeled here as one.
Broad Conditions: Climate, Economy and Seasonal Work
The outer layer of the model contains conditions no clinic can change. Glaser et al. (2016) argue that rising temperatures are making heat stress nephropathy more common in hot agricultural regions, which would place climate change among the causes of the disease. The regional economy matters too: sugarcane and other export crops provide seasonal work for men with few alternatives, and seasonal contracts with payment by volume shift the risk of heat onto the worker. These are not determinants a nurse can alter, but they explain why the disease persists even when workers know the risk: the alternative to cutting cane may be no income at all during the harvest months.
Distance as a Clinical Fact
The final link is access, and it decides whether a man with early kidney disease is found in time. Early chronic kidney disease has no symptoms, so it is detected only by testing blood creatinine or urine protein. In rural coastal communities, that testing requires reaching a health unit with laboratory capacity, which for many families means travel that costs a day's wages during the harvest. Once kidneys fail, dialysis and transplantation are concentrated in a small number of hospitals, and the Nefrolempa authors note that the patients reaching dialysis from the region were predominantly male agricultural workers under 60 (Orantes et al., 2011). For a family that depends on one man's seasonal wage, the cost of a trip to a city for dialysis three times a week is not twenty minutes; it is a household's income.
What the Chain Supports and Where It Stops
The chain supports a clear ordering by contribution. Occupational heat stress and dehydration, organized by the way cane cutting is paid, are the best evidenced and most modifiable determinants. Community concentration among agricultural men confirms the pattern. Climate and the export economy make the exposure larger and harder to escape. Access to testing and dialysis determines who survives once disease has developed. The chain stops at agrochemicals, where the evidence remains contested, and it stops at genetics, which has been proposed but not established. A nursing intervention built on this analysis would therefore aim first at the working day, water, rest and shade during harvest shifts, together with early kidney function screening for field workers, rather than at the causes that are still in dispute.
References
Dahlgren, G., & Whitehead, M. (1991). Policies and strategies to promote social equity in health. Institute for Futures Studies.
García-Trabanino, R., Jarquín, E., Wesseling, C., Johnson, R. J., González-Quiroz, M., Weiss, I., Glaser, J., Vindell, J. J., Stockfelt, L., Roncal, C., Harra, T., & Barregard, L. (2015). Heat stress, dehydration, and kidney function in sugarcane cutters in El Salvador: A cross-shift study of workers at risk of Mesoamerican nephropathy. Environmental Research, 142, 746-755. https://doi.org/10.1016/j.envres.2015.07.007
Glaser, J., Lemery, J., Rajagopalan, B., Diaz, H. F., García-Trabanino, R., Taduri, G., Madero, M., Amarasinghe, M., Abraham, G., Anutrakulchai, S., Jha, V., Stenvinkel, P., Roncal-Jimenez, C., Lanaspa, M. A., Correa-Rotter, R., Sheikh-Hamad, D., Burdmann, E. A., Andres-Hernando, A., Milagres, T., . . . Johnson, R. J. (2016). Climate change and the emergent epidemic of CKD from heat stress in rural communities: The case for heat stress nephropathy. Clinical Journal of the American Society of Nephrology, 11(8), 1472-1483. https://doi.org/10.2215/CJN.13841215
Johnson, R. J., Wesseling, C., & Newman, L. S. (2019). Chronic kidney disease of unknown cause in agricultural communities. New England Journal of Medicine, 380(19), 1843-1852. https://doi.org/10.1056/NEJMra1813869
Orantes, C. M., Herrera, R., Almaguer, M., Brizuela, E. G., Hernández, C. E., Bayarre, H., Amaya, J. C., Calero, D. J., Orellana, P., Colindres, R. M., Velázquez, M. E., Núñez, S. G., Contreras, V. M., & Castro, B. E. (2011). Chronic kidney disease and associated risk factors in the Bajo Lempa region of El Salvador: Nefrolempa study, 2009. MEDICC Review, 13(4), 14-22. https://doi.org/10.37757/MR2011V13.N4.5
World Health Organization. (2024). Global health estimates 2021: Deaths by cause, age, sex, by country and by region, 2000-2021 [Data set]. https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates
What the NR 441 Week 5 assignment asks for
The Week 5 analysis has you examine how social determinants shape a health problem in a global setting. Typical requirements are a defined condition and setting, a determinants framework, analysis of factors at each level with evidence, the role of access to care, conclusions about which factors matter most and APA. Narrow to one condition in one country and one kind of place. Keep clinical detail brief. Name your framework and its layers. Support each link in the chain with evidence, and say whether it comes from the country itself or a neighbor. Treat distance and cost as clinical facts. Order the determinants by how much each contributes and how firm the evidence is, and stop where the evidence stops.
How the NR 441 Week 5 example is put together
The first section reports kidney disease as El Salvador's third leading cause of death in 2019 and describes the young agricultural men affected without diabetes or hypertension. It introduces Dahlgren and Whitehead's model. The individual section notes what is missing. The working conditions section describes manual cane cutting in heat above 30 degrees Celsius and cites García-Trabanino and colleagues' study of workers in El Salvador, separating local from imported evidence. The community section reports Orantes and colleagues' Nefrolempa study of 775 residents. The broad conditions section covers climate and pay structures, citing Glaser and colleagues. The access section counts lost wages and trips needed for a creatinine test. The closing orders the chain and notes Johnson and colleagues' review.
Reading the NR 441 Week 5 grading rubric
Determinants analysis rubrics usually reward a focused condition and setting, correct use of a framework, evidence at each level, attention to access, prioritization of determinants and APA. Most of the grade sits in the evidence for each link, so the paper supports the heat stress link with research from El Salvador and labeling which links rest on neighboring countries. Focus is credited for one condition in one kind of place. The framework scores because each layer of Dahlgren and Whitehead's model is used. Access earns points by being counted in lost wages and trips. Prioritization is met by ordering determinants by contribution and evidence. Stopping where evidence stops shows the discipline graders reward. Six references complete APA.
NR 441 Week 5 help from the desk
The costliest failure on this paper is a chain asserted rather than evidenced, with poverty named as the cause of everything and no mechanism shown. Another is spending pages on clinical detail, which belongs in another course. Students also borrow evidence from other countries without saying so, treat access as a passing remark or list determinants without ranking them. Dahlgren and Whitehead's model is the usual framework, though others are allowed. Evidence from a neighboring country is acceptable when labeled. If your condition or country is different, send them and an NR 441 determinants analysis can be built link by link with sourced evidence.
Get a NR 441 Week 5 example written to your instructions
Send the assignment file, the framework your section requires and the condition if one was set, and a custom NR 441 Week 5 analysis is written to it and returned inside 24 to 48 hours, the first one free. If your classroom supplies a case scenario, send that too and the example works from its details rather than a convenient country.
More NR 441 papers and RN-to-BSN samples
- NR 441 Week 1: Global Health Missing Step Post
- NR 441 Week 2: Rwanda Country Health Profile
- NR 441 Week 3: Global Burden of Disease Brief
- NR 441 Week 4: Neonatal Mortality System Comparison
- NR 441 Week 6: Program Critique
- NR 441 Week 7: Intervention Proposal
- NR 441 Week 8: Reflection
- NR 442 Week 5: Epidemiology Write-up
- NR 439 Week 5: Silicone Foam Dressing Evidence Matrix
- NR 446 Week 5: Interprofessional Team Analysis
- NR 436 Week 5: Carbon Monoxide Teaching Plan
NR 441 Week 5 questions, answered
Which framework do these papers use?
Whichever the section names, and there is usually one specified in the assignment file. Where the choice is open, any established social determinants model works provided the paper commits to it and organizes itself by its layers. The mark is not for choosing well but for using it consistently, so a model referenced once and then ignored scores below a simpler one carried the whole way.
How much clinical detail belongs in this paper?
Two or three sentences at the start, enough that a reader outside nursing understands what the condition does to a person. After that the assignment concerns the conditions producing cases, not their management. Papers written by working nurses tend to overshoot here, because clinical description is the comfortable ground, while the points sit in the analysis rows instead.
Can I use evidence from a different country?
Yes, with the transfer made explicit. Say what the source country shares with yours on that specific determinant and what it does not, then treat the borrowed finding as supporting the link rather than establishing it. Silent transfer is the version costing marks, because a grader cannot tell whether the writer even noticed the study came from somewhere else.
Where can I find a free NR 441 Week 5 sample paper?
The complete Week 5 determinants analysis of kidney disease in El Salvador's sugarcane lowlands, with the model, each evidenced link, the access section, the ordered chain and six references, can be read here.
What is the strongest determinant in the NR 441 Week 5 analysis?
Occupational heat stress and dehydration in manual sugarcane cutting, organized by how the work is paid, which has evidence from El Salvador itself and can be changed.