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1. Introduction
Chronic diseases in adults such as hypertension [1], type 2 diabetes (T2D) [2], renal disease, and musculoskeletal conditions are the most common and high morbidity or comorbidity that represents a significant public health problem in adulthood’s last decades, which determines the health status in the elderly, along with pharmacotherapy as the primary control and management treatment through different daily oral drug classes use [3].
Mexican current clinical practice guidelines agree with international guidelines for hypertension [4] and recommend initial pharmacologic treatment with angiotensin-converting enzyme inhibitors (ACE-I), angiotensin II receptor blockers (ARB II), calcium channel blockers (CCB), thiazide diuretics (TD), and beta-blockers (BB) are now recommended under specific indications as a combined therapy. On the other hand, clinical guidelines for pharmacologic treatment in type 2 diabetes [5] recommend metformin (biguanide) as first-line pharmacological treatment, followed by a second-line drug such as sulfonylureas, glucagon-like peptide (GLP-1) receptor agonists, sodium-glucose cotransporter-2 (SGLT2) inhibitors, and dipeptidyl peptidase 4 (DPP-4) inhibitors, among others. Pharmacologic treatment for both diseases can be prescribed as monotherapy (use of only one drug) or combined therapy (dual pill or two classes of drugs on individual use).
However, since the mid-2000s, blood pressure control and glycemic management treatment have considerably changed in medical institutions around the world [6–9], particularly in Mexico, due to the availability of drugs in medical institutions [10, 11]. For hypertension, ACE-I, ARB II, and BB are now the most common drugs used as initial drug treatment, leaving the use of TD as part of dual pills; also, for T2D, metformin took relevance and became the most antidiabetic drug used as a first-line drug, with the recent introduction to the institutional catalog of new kinds of antidiabetics as pioglitazone and sitagliptin.
Furthermore, half of the adult population reported having suffered a musculoskeletal condition in recent years [12], besides a high prevalence of self-medication [13] with nonsteroidal anti-inflammatory drugs (NSAIDs). In addition, the medical prescription for pain relief as an analgesic has increased in the last decades [14, 15], such as acetaminophen, ibuprofen, salicylic acid, and naproxen are the most common drugs used, with or without knowledge of side effects or interactions [16, 17].
Given these changes in the pharmacotherapy approaches, it is essential to examine the temporal trends to provide information about care patterns, drug disuse described as noneffective, frequent side effects caused or determinant of chronic health status in response to changes in drug utilization, and identify potential improvement areas, like the adoption of recent specific drug indications adequate to each patient on daily practice medicine for avoiding polypharmacy in adults.
1.1. Aim of the Study
We aimed to investigate prevalence trends in the use of antihypertensive and antidiabetic drugs in diagnosed participants and NSAIDs in all adult participants using data from the Health Workers Cohort Study.
2. Materials and Methods
2.1. Data Source
We used data from the Health Workers Cohort Study (HWCS) [18]. The HWCS is a prospective open cohort study composed of employees from the Mexican Institute of Social Security (IMSS) (acronym in Spanish) and their families in Cuernavaca. IMSS is one of Mexico’s three leading public healthcare institutions, providing healthcare to around 70 million adults [19]. The cohort is occupationally diverse, including physicians, nurses and nurse assistants, social workers, management, administration, and cleaning personnel; these employees and their families had medical insurance and prescription drug coverage by the same institution. The Ethics Committee of the IMSS approved the study protocol; every participant provided informed consent. The HWCS had three data collection assessments: 2004–2006, 2010–2013, and 2017-2018.
2.2. Study Population
We analyzed data from the three assessments of the HWCS participants aged ≥18 years and older; from the baseline assessment, we included 9,522 adult participants; the second assessment of the cohort included 2,075 participants, and the third assessment included 1,299 participants.
2.3. Measurements
The participants completed an extensive self-administered questionnaire in the presence of a health expert for clarification, providing detailed information about their demographics, health status, and lifestyle. Available data included the birth date, education, marital and employment status, family medical history, prior chronic illness diagnoses, medication regular utilization, diet, physical activity, smoking and alcohol consumption, social support, and quality of life [20, 21]. Participants also reported information about the diagnosis year and several chronic conditions diagnosed by a physician, such as T2D, hypertension, dyslipidemia, cardiovascular diseases, and respiratory diseases, among many others.
The commonly prescribed medications used to treat hypertension and T2D regularly were the exposure to interest. The questionnaire applied to the entire sample (same questionnaire in the three assessments) included a single-item question aiming to evaluate the common drug utilization prevalence, where the question was: “Which drugs do you take? (Mark the drugs that you usually take at least twice a week)” and the response options included none, acetaminophen, NSAIDs, thiazide diuretics, beta-blockers, calcium channel blockers, and others antihypertensive drugs, acetylsalicylic acid, hypolipemic, hormonal, anxiolytics, antidiabetic (metformin), antidepressants drugs, among others. Antihypertensive drugs were classified into five major categories: ACE-I (e.g., captopril and enalapril), ARBs (e.g., losartan and candesartan), CCB (e.g., amlodipine and nifedipine), TD (e.g., chlortalidone and hydrochlorothiazide), and beta-blockers (e.g., metoprolol and propranolol), the example drugs in parenthesis were the most specific drug used for each category. We only had metformin, glibenclamide, and sitagliptin information regarding antidiabetic drugs.
After answering the questionnaire, participants were scheduled for an appointment within three months to take anthropometric and laboratory measurements. Body weight (kg) was measured with calibrated electronic scales (Tanita BC-533®) with a precision of 0.2 kg, with the participant wearing minimum clothing and no shoes. Height (mt) was measured using a conventional stadiometer (SECA 213®) with a precision of 1 mm, with the participants standing barefoot with their shoulders in a normal position. Body mass index (BMI, kg/m2) was calculated as weight in kilograms divided by the square of height in meters.
2.4. Statistical Analysis
We calculated the frequency and proportion of each characteristic of the study population (socio-demographic, job status, anthropometrics) and medical history, the prevalence of hypertension, T2D, and musculoskeletal disorders, among other comorbidities, for the three assessments, and percentages comparison to baseline assessment were conducted by Fisher’s exact test.
For the conducted prevalence trends analysis, we included participants with self-reported hypertension diagnosed by a physician or antihypertensive drug use, those with self-reported T2D diagnosed by a physician or antidiabetic drugs, and those with self-reported NSAID use. Over the three assessments, we estimated the prevalence and 95% interval confidence of using antihypertensives, antidiabetics, and NSAID drugs. Comparison to baseline assessment was conducted by Fisher’s exact test for each difference in antihypertensive, antidiabetic, and NSAID drug proportions [8]. A two-sided
3. Results
Table 1 presents the cohort characteristics in 2004–2006, 2010–2013, and 2017-2018. The proportion of participants aged ≥60 years increased from 2004 through 2018 and reached 40%, as expected in an adult cohort study. Women proportion was higher than men in the three assessments (69.5% in 2004, 51.2% in 2010, and 75.2% in 2017,
Table 1
Cohort sociodemographic and clinical characteristics across the three assessments.
Characteristic | 2004–2006 N = 9,522 | 2010–2013 N = 2,975 | 2017-2018 N = 1,299 | ||
Gender | |||||
Female | 6,615 (69.5) | 1524 (51.2) | 0.0001 | 977 (75.2) | 0.0001 |
Male | 2,907 (30.5) | 1451 (48.8) | 322 (24.8) | ||
Age categories | |||||
18–40 yr | 4,324 (45.4) | 888 (30.9) | 0.0001 | 224 (17.3) | 0.0001 |
41–60 yr | 3,912 (41.1) | 1,392 (48.5) | 555 (42.9) | ||
61–80 yr | 1,222 (12.8) | 557 (19.4) | 482 (37.2) | ||
>81 yr | 64 (0.7) | 35 (1.2) | 34 (2.6) | ||
Education degree | |||||
Elementary school or below | 2194 (23.0) | 610 (20.5) | 0.0001 | 290 (22.3) | 0.02 |
High school/technical trainee | 1556 (16.3) | 436 (14.6) | 249 (19.1) | ||
Bachelor of above | 3884 (40.8) | 838 (28.2) | 486 (37.4) | ||
Data not available | 1888 (19.9) | 1091 (36.7) | 274 (21.2) | ||
Job title | |||||
Physician | 151 (1.6) | 53 (1.8) | 0.0001 | 25 (1.9) | 0.0001 |
Nurse | 465 (4.9) | 76 (2.6) | 34 (2.6) | ||
Administrative | 930 (9.8) | 125 (4.2) | 53 (4.0) | ||
BMI categories (kg/m2) | |||||
Healthy weight (min—24.9) | 3496 (38.8) | 969 (35.9) | 0.016 | 429 (33.6) | 0.0001 |
Overweight (25.0–29.9) | 3766 (41.8) | 1160 (42.9) | 517 (40.4) | ||
Obesity (30.0—max) | 1756 (19.4) | 572 (21.2) | 332 (26) | ||
Comorbidities | |||||
Hypertension | 1882 (19.8) | 725 (24.4) | 0.0001 | 394 (30.3) | 0.0001 |
No treatment | 884 (47.0) | 171 (23.6) | 0.0001 | 55 (14.0) | 0.0001 |
Medication treatment | 998 (53.0) | 554 (76.4) | 339 (86.0) | ||
Type 2 diabetes | 668 (7.0) | 325 (10.9) | 0.0001 | 167 (12.8) | 0.0001 |
No treatment | 309 (46.3) | 73 (22.5) | 0.0001 | 74 (19.0) | 0.0001 |
Medication treatment | 359 (53.7) | 252 (77.5) | 317 (81.0) | ||
Musculoskeletal disorders | 5362 (56.3) | 1559 (52.4) | 0.0001 | 688 (52.9) | 0.15 |
Medication pain treatment | 1931 (36.0) | 647 (41.5) | 0.0001 | 327 (47.5) | 0.0001 |
Chronic renal disease | 75 (0.8) | 16 (0.5) | 0.098 | 7 (0.5) | 0.21 |
BMI, body mass index. Variables showed as frequencies (Percentage). Comparison to baseline characteristics (2010 and 2017 vs 2004) were compared using Fisher’s exact test.
3.1. Trends in Antihypertensive Drugs
From 9,522, 2,975, and 1,299 participants of the HWCS in 2004, 2010, and 2017, respectively, the change in self-reported hypertension prevalence was from 1,882 (19.8%) to 725 (24.4%) and 394 (30.3%) (
Of these patients, the proportion who referred no medical treatment during the following time decreased from 46.9% in 2006 to 23.6% in 2013, and 14% in 2018,
Beta-blockers and ARB II utilization increased during the fourteen years (26.6% to 74.6%
Table 2
Percentage and 95% CI of utilization of each drug across the three assessments.
Drug | 2004–2006 | 2010–2013 | 2017-2018 | |||
Percentage | CI 95% | Percentage | CI 95% | Percentage | CI 95% | |
Antihypertensive | ||||||
ACE-I | 44.8% | 41.7–47.9 | 38.1% | 34.1–42.2 | 23.0% | 18.8–27.8 |
ARB II | 8.0% | 6.5–9.9 | 15.5% | 12.7–18.8 | 22.7% | 18.5–27.5 |
CCB | 23.2% | 20.7–26.0 | 15.3% | 12.6–18.6 | 4.7% | 2.9–7.6 |
B-blocker | 26.7% | 23.9–29.5 | 55.4% | 51.2–59.5 | 74.6% | 69.7–79.0 |
TD | 35.0% | 32.0–38.0 | 22.9% | 19.6–26.6 | 19.5% | 15.6–24.1 |
Antidiabetic | ||||||
Metformin | 9.5% | 6.8–13.0 | 74.2% | 68.4–79.3 | 83.9% | 79.4–87.6 |
Glibenclamide | 97.8% | 95.6–98.9 | 52.0% | 45.8–58.1 | 21.1% | 16.9–26.0 |
Sitagliptin | 0.9% | 0.3–2.9 | ||||
NSAIDs | ||||||
Anti-inflammatories | 16.0% | 15.3–16.7 | 17.0% | 15.7–18.4 | 13.9% | 12.1–15.9 |
Acetylsalicylic acid | 14.1% | 13.4–14.8 | 12.9% | 11.8–14.2 | 12.2% | 10.5–14.1 |
Acetaminophen | 2.9% | 2.6–3.3 | 2.2% | 1.7–2.7 | 1.8% | 1.2–2.7 |
ACE-I, angiotensin-converting enzyme inhibitor; ARB II, angiotensin II receptor blockers; CCB, calcium channel blockers; B-blocker, beta-blockers; TD, thiazide diuretics; NSAID, nonsteroidal anti-inflammatory drug. Estimates of proportions, standard errors, and 95% CI were made by the values in each drug category.
[figure(s) omitted; refer to PDF]
3.2. Trends in Antidiabetic Drugs
The change in self-reported T2D prevalence was 668 (7.0%), 325 (10.9%), and 167 (12.8%) in participants of the HWCS in 2004, 2010, and 2017 (
The use of any glucose-lowering medication increased by 27.3 (percentage points) from 2004 to 2018 (
We observed a complete change in antidiabetic drug utilization trend during the study period characterized by a dramatic increase in the use of metformin (9.5% to 84%,
[figure(s) omitted; refer to PDF]
3.3. Trends in Nonsteroidal Anti-Inflammatory Drugs
The overall percentage of people who reported musculoskeletal pain decreased from 2004 to 2010 (56.3% to 52.4%,
From 2004 to 2010, the use of one or more anti-inflammatory drugs (naproxen, ibuprofen, or diclofenac) slightly increased; then from 2010 to 2018, decreased from 17% to 14% in all participants (
[figure(s) omitted; refer to PDF]
Among those regular NSAID users, the prevalence of reported self-medication practice decreased from 13.3% in 2006 to 8.24% in 2018.
4. Discussion
Our study showed changes in the prevalence trends in utilizing antihypertensive, antidiabetic, and NSAID through 14 years of study follow-up in HWCS adult participants. Independent of their health condition, we indeed observed an increase in common utilization of drugs in participants with a chronic disease.
In this study, the punctual prevalence of hypertension in the period study (2004–2006, 2010–2013, and 2017-2018) increased from 20% to 30%, following continuous results from the National Health and Nutrition Surveys of Mexico [10, 22]. The utilization of pharmaceutical treatment increased over 14 years among hypertensive participants. ACE-I, beta-blockers, and ARB II represent the most prevalent types of antihypertensive used in Mexican participants; these findings are congruent with previous studies and US [9], Japan [8, 23], Germany [24] findings, and market analysis [25]; although TD has been persistently used for the effectiveness on blood pressure control by reducing sodium and fluid retention; however, side effects are frequently presented at higher doses [26], even than they are essential as part of dual-pills polytherapy [27]; CCB plays a role in blood pressure too; however, it showed an important decreased in utilization from 23.2% to 4.7%.
The proportion of hypertensive patients treated with polytherapy was higher in 2013 than in 2006 and 2018 assessments (52.2%, 30.3%, and 47.5%, respectively), higher than reported by Chinese (24%) [28], lower than the US (56%–64.6%) [27, 29, 30], during approximately the same period.
Moreover, the burden of type 2 diabetes is still growing in Mexico, and the prevalence of T2D has constantly increased from 2000 to 2018, from 7.4% to 17%, with corresponding state-level variance [2, 31, 32]. Our results showed a similar positive trend (7% in 2004 to 12.8% in 2018). Although it is essential to see that among diabetic participants, the use of lower-glucose drugs increased by 27.4 percentage points, concerning the two most commonly used drugs (glibenclamide and metformin) here and around the world [32, 33], trends completely reversed through the years, the evidence has shown this change in other countries [6, 34, 35].
Nevertheless, we would like to discuss some crucial aspects of the health systems in Mexico. There are three major health systems: IMSS, which provides health care to 51% of the Mexican population; the Minister of Health; and the Institute of Security of Social Services for Employers (ISSSTE, Spanish acronymous). Public healthcare institutions purchase medications for their services and do not charge patients per product or event, but the availability and medication supply have been affected in the last few years [36–38]. Also, Mexico has one of the largest markets of pharmaceuticals in Latin America of patent medicines and generic drugs [39], and all kinds of antihypertensive, antidiabetic, and NSAID drugs are available for free, which means a prescription is not necessary; if any drug is not available at the institutional pharmacy, patients can quickly get it at any pharmaceutical dispensary [11].
In Mexico and other countries, the use and prescription of older classes of drugs such as sulfonylureas (glibenclamide specific) as monotherapy remained for decades [40–42], until we observed its evident decline. Suboptimal treatment should contribute to worsening diabetes control across generations. It was only in the half/final years of the 2000’s decade that metformin took relevance in T2D treatment as a first-line treatment according to guidelines recommendation and until these days [43, 44].
Furthermore, in recent years, we observed that the use of newer second-line glucose-lowering medications, like DPP4-inhibitor (sitagliptin and linagliptin), which were included in 2015 to the national formulary coverage by the health institutional lists, among other classes like SGLT2 inhibitors and GLP-1 receptor analogs [45], their availability had increased in public health institutions but is still low overall for access and high cost. These similar trends have been shown in many countries like Colombia [46], US [7, 47], Korea [48], and Taiwan [49], among others. Even with the essential benefits of intensive T2D treatment to glucose control in these patients, monotherapy has been the most prevalent election treatment (92.7% in 2006, 73.4% in 2013, and 94% in 2018) in our study.
On the other hand, more than 50% of the cohort participants reported some musculoskeletal disorders and pain as the primary symptom, very similar to those shown by a Finnish cohort [12], according to the study time. Among 30% to 40% of the participants, reported taking common anti-inflammatory drugs (especially NSAIDs such as ibuprofen, naproxen, or diclofenac) prescribed by their physician or self-medicating for pain, similar to those reported by Ussai et al. [50]. These drugs as an anti-inflammatory or analgesic indication, are worldwide used by the adult population [14, 51–53], despite the common comorbidities existing in adult population [15, 54], the risk for polypharmacy [17], and drug-drug interactions [55].
The prescribed NSAIDs increased from 2004 to 2018 in our cohort (45.6% to 49.3%), higher than reported in the US [56]. However, we must take into account that, besides using NSAIDs for pain treatment, it has several different medical indications and easy access by free sale in Mexico, and acetaminophen is considered safe in most patients and remains constant in our time study.
For this study, 14 years of data were available, all collected rigorously and systematically by trained personnel who used standardized protocols. The list of drugs reported by the participants agreed with the national formulary coverage available at the IMSS.
Some limitations of this study need to be emphasized; the number of participants enrolled in each assessment decreased because of the focus on worksite available to following and monetary resources; these could lead to selection bias with overrepresentation of participants with some chronic disease diagnosis, limiting the external validity of the prevalence showed; also, we could not correlate drug self-report use with specific physician prescription of medical record history of participants; furthermore, we did not collect information on precise daily dose and medication adherence; drug utilization was self-reported, and patients’ health literacy could impact their recognition of the drugs which can lead to underestimation of the drugs’ utilization and misclassification. Access to these essential drugs depends on institutional pharmacy supply and entire filled prescriptions. However, these drugs are free to buy in Mexico, and many generic presentations are available.
5. Conclusions
The present study showed that the proportion of participants with hypertension using beta-blockers and ARB II increased. In contrast, TD and CCB utilization decreased during the follow-up time. As shown in other countries, the primary drug used as monotherapy for T2D has wholly changed. The use of NSAID in the study population remained constant across the three assessments without considering comorbidities, polytherapy, and age. In Mexico, given the fractional structure of the health system plus private medical attention, different studies made by some institutions like ours contribute to the knowledge of the pharmacoepidemiology of commonly used drugs for chronic diseases in the Mexican adult population; the integration of all this information could support changes in public policies for monitoring and regulation of drugs utilization.
Ethical Approval
The corresponding Institutional Review Boards approved the study protocol, questionnaires, procedures, and informed consent forms of all participating institutions: the Mexican Social Security Institute (12CEI 09 006 14), the National Institute of Public Health (13CEI 17 007 36), and the Autonomous University of the Mexico State (1233008X0236).
Consent
All participants gave written informed consent to enroll in the study, and all methods were carried out following relevant guidelines and regulations.
Disclosure
This study has already been published as a preprint [57]. None of the funders was involved in the design, implementation, analysis, and interpretation of the data.
Authors’ Contributions
JOM processed and analyzed the data, wrote and prepared the figures and tables, and finalized the manuscript. AM and RSS provided advice on the analysis and critically reviewed the manuscript. KGC, PRP, JS, and ESM contributed to the study’s design and helped to write the manuscript. All authors have read and approved the final manuscript.
Acknowledgments
The Health Workers Cohort Study was supported by the following grants from the National Council of Science and Technology (abbreviated CONACYT): 7876, 87783, 262233, 26267M, SALUD-2010-01-139796, SALUD-2011-01-161930, and CB-2013-01-221628. It was also supported by the following grant from the National Institutes of Health: NIH/NCI K07CA197179.
Glossary
Abbreviations
T2D:Type 2 diabetes
ACE-I:Angiotensin-converting enzyme inhibitors
ARB II:Angiotensin II receptor blockers
CCB:Calcium channel blockers
BB:Beta-blockers
TD:Thiazide diuretics
NSAID:Nonsteroidal anti-inflammatory drugs
HWCS:Health Workers Cohort Study
IMSS:Mexican Institute of Social Security
ISSSTE:Institute of Security of Social Services for Employers
GLP-1:Glucagon-like peptide 1 receptor agonist
SGLT2:Sodium-glucose cotransporter 2 inhibitors
BMI:Body mass index
DPP-4:Dipeptidyl peptidase 4 inhibitors.
[1] B. Zhou, "Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants," The Lancet, vol. 398, pp. 957-980, DOI: 10.1016/S0140-6736(21)01330-1, 2021.
[2] R. Rojas-Martínez, A. Basto-Abreu, C. Aguilar-Salinas, E. Zárate-Rojas, S. Villalpando, T. Barrientos-Gutiérrez, "Prevalencia de diabetes por diagnóstico médico previo en México," Salud Publica de Mexico, vol. 60 no. 3, pp. 224-232, DOI: 10.21149/8566, 2018.
[3] American Diabetes Association Professional Practice Committee, "13. Older adults: Standards of medical Care in diabetes—2022," Diabetes Care, vol. 45 no. 1, pp. S195-S207, DOI: 10.2337/dc22-s013, 2022.
[4] T. Unger, C. Borghi, F. Charchar, N. A. Khan, N. R. Poulter, D. Prabhakaran, A. Ramirez, M. Schlaich, G. S. Stergiou, M. Tomaszewski, R. D. Wainford, B. Williams, A. E. Schutte, "2020 international society of hypertension global hypertension practice guidelines," Hypertension, vol. 75 no. 6, pp. 1334-1357, DOI: 10.1161/HYPERTENSIONAHA.120.15026, 2020.
[5] American Diabetes Association Professional Practice Committee, "9. Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes―2022," Diabetes Care, vol. 45 no. 1, pp. S125-S143, DOI: 10.2337/dc22-s009, 2022.
[6] M. Fang, D. Wang, J. Coresh, E. Selvin, "Trends in diabetes treatment and control in U.S. Adults, 1999–2018," New England Journal of Medicine, vol. 384 no. 23, pp. 2219-2228, DOI: 10.1056/nejmsa2032271, 2021.
[7] K. J. Lipska, X. Yao, J. Herrin, R. G. McCoy, J. S. Ross, M. A. Steinman, S. E. Inzucchi, T. M. Gill, H. M. Krumholz, N. D. Shah, "Trends in drug utilization, glycemic control, and rates of severe hypoglycemia, 2006-2013," Diabetes Care, vol. 40 no. 4, pp. 468-475, DOI: 10.2337/dc16-0985, 2017.
[8] L. Ma, R. Han, L. Li, Z. Li, F. Sun, L. Diao, Z. Tang, "Trends in the prevalence of antihypertensive drug treatment in the Beijing Longitudinal Study of Aging," Archives of Gerontology and Geriatrics, vol. 74, pp. 44-48, DOI: 10.1016/j.archger.2017.09.004, 2018.
[9] C. G. Derington, J. B. King, J. S. Herrick, D. Shimbo, I. M. Kronish, J. J. Saseen, P. Muntner, A. E. Moran, A. P. Bress, "Trends in antihypertensive medication monotherapy and combination use among US adults, National Health and Nutrition Examination Survey 2005–2016," Hypertension, vol. 75 no. 4, pp. 973-981, DOI: 10.1161/HYPERTENSIONAHA.119.14360, 2020.
[10] A. Alba-Leonel, A. Carvajal, I. Fierro, F. Castillo-Nájera, O. Campos-Ramos, A. Villa-Romero, J. Molina-Guarneros, "Prescription patterns of antihypertensives in a community health centre in Mexico City: A drug utilization study," Fundamental & Clinical Pharmacology, vol. 30 no. 3, pp. 276-281, DOI: 10.1111/fcp.12179, 2016.
[11] V. J. Wirtz, E. Serván-Mori, I. Heredia-Pi, A. Dreser, L. Avila-Burgos, "Factores asociados con la utilización y el gasto en medicamentos en México," Salud Publica de Mexico, vol. 55 no. 2, pp. S112-S122, DOI: 10.1039/c5dt03705k, 2013.
[12] T. E. Lehti, M. O. Rinkinen, U. Aalto, H. M. Roitto, M. Knuutila, H. Öhman, H. Kautiainen, H. Karppinen, R. Tilvis, T. Strandberg, K. H. Pitkälä, "Prevalence of musculoskeletal pain and analgesic treatment among community-dwelling older adults: changes from 1999 to 2019," Drugs & Aging, vol. 38 no. 10, pp. 931-937, DOI: 10.1007/s40266-021-00888-w, 2021.
[13] D. Bennadi, "Self-medication: a current challenge," Journal of Basic and Clinical Pharmacy, vol. 5 no. 1, pp. 19-23, DOI: 10.4103/0976-0105.128253, 2014.
[14] C. S. Zin, N. I. Mohamed Nazar, N. S. Ab Rahman, N. E. Alias, W. R. Ahmad, N. S. Rani, M. S. Cardosa, K. S. Ng, F. L. Ye, "Trends and patterns of analgesic prescribing in Malaysian public hospitals from 2010 to 2016: tramadol predominately used," Journal of Pain Research, vol. 11, pp. 1959-1966, DOI: 10.2147/JPR.S164774, 2018.
[15] Y. Chen, J. Bedson, R. A. Hayward, K. P. Jordan, "Trends in prescribing of non-steroidal anti-inflammatory drugs in patients with cardiovascular disease: influence of national guidelines in UK primary care," Family Practice, vol. 35 no. 4, pp. 426-432, DOI: 10.1093/fampra/cmx142, 2018.
[16] N. Moore, C. Pollack, P. Butkerait, "Adverse drug reactions and drug-drug interactions with over-the-counter NSAIDs," Therapeutics and Clinical Risk Management, vol. 11, pp. 1061-1075, DOI: 10.2147/TCRM.S79135, 2015.
[17] D. Mino-León, M. E. Galván-Plata, J. C. Anda-Garay, M. E. Noyola-García, D. Cooper, "Prescripción inapropiada en adultos mayores: revisión de la literatura y alertas de seguridad," Revista Medica del Instituto Mexicano del Seguro Social, vol. 56 no. 1, pp. S71-S81, 2018.
[18] E. Denova-Gutiérrez, Y. N. Flores, K. Gallegos-Carrillo, P. Ramírez-Palacios, B. Rivera-Paredez, P. Muñoz-Aguirre, R. Velázquez-Cruz, L. Torres-Ibarra, J. Meneses-León, P. Méndez-Hernández, R. Hernández-López, E. Salazar-Martínez, J. O. Talavera, J. Tamayo, S. Castañón, I. Osuna-Ramírez, L. León-Maldonado, M. Flores, N. Macías, D. Antúnez, G. Huitrón-Bravo, J. Salmerón, "Health workers cohort study: methods and study design," Salud Publica de Mexico, vol. 58 no. 6,DOI: 10.21149/spm.v58i6.8299, 2016.
[19] T. Shamah-Levy, E. Vielma-Orozco, O. Heredia-Hernández, M. Romero-Martínez, J. Mojica-Cuevas, L. Cuevas-Nasu, J. A. Santaella-Castell, J. Rivera-Dommarco, "Encuesta Nacional de Salud y Nutricion 2018-19; Resultado Nacionales," 2020. https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/ensanut_2018_informe_final.pdf
[20] M. A. Martínez-González, C. López-Fontana, J. J. Varo, A. Sánchez-Villegas, J. A. Martinez, "Validation of the Spanish version of the physical activity questionnaire used in the nurses’ health study and the health professionals’ follow-up study," Public Health Nutrition, vol. 8 no. 7, pp. 920-927, DOI: 10.1079/phn2005745, 2005.
[21] L. M. Sánchez-Romero, F. Canto-Osorio, R. González-Morales, M. A. Colchero, S.-W. Ng, P. Ramírez-Palacios, J. Salmerón, T. Barrientos-Gutiérrez, "Association between tax on sugar-sweetened beverages and soft drink consumption in adults in Mexico: open cohort longitudinal analysis of Health Workers Cohort Study," BMJ, vol. 369,DOI: 10.1136/bmj.m1311, 2020.
[22] I. Campos-Nonato, L. Hernández-Barrera, A. Pedroza-Tobías, C. Medina, S. Barquera, "Hipertensión arterial en adultos mexicanos: prevalencia, diagnóstico y tipo de tratamiento. Ensanut MC 2016," Salud Publica de Mexico, vol. 60 no. 3, pp. 233-243, DOI: 10.21149/8813, 2018.
[23] T. Kohro, T. Yamazaki, H. Sato, K. Ohe, R. Nagai, "The impact of a change in hypertension management guidelines on diuretic use in Japan: trends in antihypertensive drug prescriptions from 2005 to 2011," Hypertension Research, vol. 36 no. 6, pp. 559-563, DOI: 10.1038/hr.2012.216, 2013.
[24] G. Sarganas, H. Knopf, D. Grams, H. K. Neuhauser, "Trends in antihypertensive medication use and blood pressure control among adults with hypertension in Germany," American Journal of Hypertension, vol. 29 no. 1, pp. 104-113, DOI: 10.1093/ajh/hpv067, 2016.
[25] M. A. Ali, S. Rizvi, B. A. Syed, "Trends in the market for antihypertensive drugs," Nature Reviews Drug Discovery, vol. 16 no. 5, pp. 309-310, DOI: 10.1038/nrd.2016.262, 2017.
[26] M. Altagracia-Martínez, J. Kravzov-Jinich, M. D. Guadarrama-Atrizco, C. Rubio-Poo, A. I. Wertheimer, "Consumption and costs of antihypertensive drugs in Mexico: are diuretic agents a standing technological trajectory?," Research in Social and Administrative Pharmacy, vol. 2 no. 1, pp. 22-37, DOI: 10.1016/j.sapharm.2005.10.001, 2006.
[27] A. Y. Hwang, C. Dave, S. M. Smith, "Trends in antihypertensive medication use among US patients with resistant hypertension, 2008 to 2014," Hypertension, vol. 68 no. 6, pp. 1349-1354, DOI: 10.1161/HYPERTENSIONAHA.116.08128, 2016.
[28] M. C. S. Wong, W. W. S. Tam, C. S. K. Cheung, E. L. H. Tong, A. C. H. Sek, N. T. Cheung, B. P. Y. Yan, C.-M. Yu, S. M. Griffiths, "Antihypertensive prescriptions over a 10-year period in a large Chinese population," American Journal of Hypertension, vol. 26 no. 7, pp. 931-938, DOI: 10.1093/ajh/hpt049, 2013.
[29] J. R. Banegas, B. Navarro-Vidal, L. M. Ruilope, J. J. De la Cruz, E. López-García, F. Rodríguez-Artalejo, A. Graciani, "Trends in hypertension control among the older population of Spain from 2000 to 2001 to 2008 to 2010: role of frequency and intensity of drug treatment," Circulation: Cardiovascular Quality and Outcomes, vol. 8 no. 1, pp. 67-76, DOI: 10.1161/CIRCOUTCOMES.114.001191, 2015.
[30] D. Santos, M. S. Dhamoon, "Trends in antihypertensive medication use among individuals with a history of stroke and hypertension, 2005 to 2016," JAMA Neurology, vol. 77 no. 11, pp. 1382-1389, DOI: 10.1001/jamaneurol.2020.2499, 2020.
[31] J. A. Seiglie, R. R. Franco, V. J. Wirtz, J. B. Meigs, M. A. Mendoza, J. J. Miranda, H. Gómez-Dantés, R. Lozano, D. J. Wexler, E. Serván-Mori, "Regional and state-level patterns of type 2 diabetes prevalence in Mexico over the last three decades," Diabetes Research and Clinical Practice, vol. 177,DOI: 10.1016/j.diabres.2021.108927, 2021.
[32] R. Meza, T. Barrientos-Gutierrez, R. Rojas-Martinez, N. Reynoso-Noverón, L. S. Palacio-Mejia, E. Lazcano-Ponce, M. Hernández-Ávila, "Burden of type 2 diabetes in Mexico: past, current and future prevalence and incidence rates," Preventive Medicine, vol. 81, pp. 445-450, DOI: 10.1016/j.ypmed.2015.10.015, 2015.
[33] H. J. Shin, S. Schneeweiss, R. J. Glynn, E. Patorno, "Trends in first-line glucose-lowering drug use in adults with type 2 diabetes in light of emerging evidence for SGLT-2i and GLP-1RA," Diabetes Care, vol. 44 no. 8, pp. 1774-1782, DOI: 10.2337/dc20-2926, 2021.
[34] S. Wilkinson, I. Douglas, H. Stirnadel-Farrant, D. Fogarty, A. Pokrajac, L. Smeeth, L. Tomlinson, "Changing use of antidiabetic drugs in the UK: trends in prescribing 2000-2017," BMJ Open, vol. 8 no. 7,DOI: 10.1136/bmjopen-2018-022768, 2018.
[35] M. Sharma, I. Nazareth, I. Petersen, "Trends in incidence, prevalence and prescribing in type 2 diabetes mellitus between 2000 and 2013 in primary care: a retrospective cohort study," BMJ Open, vol. 6 no. 1,DOI: 10.1136/bmjopen-2015-010210, 2016.
[36] D. Agren, "Lack of medicines in Mexico," The Lancet, vol. 398, pp. 289-290, DOI: 10.1016/S0140-6736(21)01656-1, 2021.
[37] E. Servan-Mori, I. Heredia-Pi, J. Montañez-Hernandez, L. Avila-Burgos, V. J. Wirtz, "Access to medicines by Seguro Popular beneficiaries: pending tasks towards universal health coverage," PLoS One, vol. 10 no. 9,DOI: 10.1371/journal.pone.0136823, 2015.
[38] V. J. Wirtz, W. A. Kaplan, G. F. Kwan, R. O. Laing, "Access to medications for cardiovascular diseases in low- and middle-income countries," Circulation, vol. 133 no. 21, pp. 2076-2085, DOI: 10.1161/CIRCULATIONAHA.115.008722, 2016.
[39] P. Camposeco, "Mexico-healthcare products & services," 2013. https://www.trade.gov/country-commercial-guides/mexico-healthcare-products-services
[40] J. Alegre-Díaz, W. Herrington, M. López-Cervantes, L. Gnatiuc, R. Ramirez, M. Hill, C. Baigent, M. I. McCarthy, S. Lewington, R. Collins, G. Whitlock, R. Tapia-Conyer, R. Peto, P. Kuri-Morales, J. R. Emberson, "Diabetes and cause-specific mortality in Mexico city," New England Journal of Medicine, vol. 375 no. 20, pp. 1961-1971, DOI: 10.1056/nejmoa1605368, 2016.
[41] D. Mino-León, A. Figueras, D. Amato, J. R. Laporte, "Treatment of type 2 diabetes in primary health care: a drug utilization study," The Annals of Pharmacotherapy, vol. 39 no. 3, pp. 441-445, DOI: 10.1345/aph.1E273, 2005.
[42] T. Walley, D. Hughes, H. Kendall, "Trends and influences on use of antidiabetic drugs in England, 1992-2003," Pharmacoepidemiology and Drug Safety, vol. 14 no. 11, pp. 769-773, DOI: 10.1002/pds.1089, 2005.
[43] J. Flory, K. Lipska, "Metformin in 2019," JAMA, the Journal of the American Medical Association, vol. 321 no. 19, pp. 1926-1927, DOI: 10.1001/jama.2019.3805, 2019.
[44] J. Moon, S. S. Kumar, G. G. Graham, M. T. Baysari, K. M. Williams, W. Chen, A. Viardot, J. R. Greenfield, R. O. Day, "Trends in metformin utilisation and dose appropriateness in Australia," European Journal of Clinical Pharmacology, vol. 72 no. 12, pp. 1489-1496, DOI: 10.1007/s00228-016-2117-y, 2016.
[45] Comisión Interinstitucional del Cuadro Básico de Insumos del Sector Salud, "Cuadro básico y catálogo de Medicamentos, edición 2015," 2016. https://www.dof.gob.mx/nota_detalle.php?codigo=5424007&fecha=29/01/2016#gsc.tab=0
[46] N. C. Barengo, S. Camacho, P. A. López, P. A. Camacho, A. A. García, J. A. Hincapié, A. Maceneth, P. López-Jaramillo, "Patrones de prescripción de medicamentos para la diabetes mellitus tipo 2 en cinco departamentos de Colombia, en 2014," Revista Facultad Nacional de Salud Pública, vol. 36 no. 2, pp. 58-65, DOI: 10.17533/udea.rfnsp.v36n2a08, 2018.
[47] B. E. Landon, A. M. Zaslavsky, J. Souza, J. Z. Ayanian, "Trends in diabetes treatment and monitoring among medicare beneficiaries," Journal of General Internal Medicine, vol. 33 no. 4, pp. 471-480, DOI: 10.1007/s11606-018-4310-4, 2018.
[48] S.-H. Ko, D.-J. Kim, J.-H. Park, C.-Y. Park, C. H. Jung, H.-S. Kwon, J.-Y. Park, K.-H. Song, K. Han, K.-U. Lee, K.-S. Ko, "Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013," Medicine (Baltimore), vol. 95 no. 27,DOI: 10.1097/md.0000000000004018, 2016.
[49] H. T. Ou, K. C. Chang, Y. M. Liu, J. S. Wu, "Recent trends in the use of antidiabetic medications from 2008 to 2013: a nationwide population-based study from Taiwan," Journal of Diabetes, vol. 9 no. 3, pp. 256-266, DOI: 10.1111/1753-0407.12408, 2017.
[50] S. Ussai, L. Miceli, F. E. Pisa, R. Bednarova, A. Giordano, G. Della Rocca, R. Petelin, "Impact of potential inappropriate NSAIDs use in chronic pain," Drug Design, Development and Therapy, vol. 9, pp. 2073-2077, DOI: 10.2147/DDDT.S80686, 2015.
[51] J. M. Castel, J. R. Laporte, V. Reggi, J. Aguirre, P. M. de Buschiazzo, H. L. Coelho, M. D. C. D. Batista, M. L. Carvalho, R. E. Righi, J. C. Prieto, J. Fuentes, A. Chaves, R. Mendieta, J. Orozco, "Multicenter study on self-medication and self-prescription in six Latin American countries ∗," Clinical Pharmacology & Therapeutics, vol. 61 no. 4, pp. 488-493, DOI: 10.1016/s0009-9236(97)90199-5, 1997.
[52] S. Rozenfeld, M. J. M. Fonseca, F. A. Acurcio, "Drug utilization and polypharmacy among the elderly: a survey in Rio de Janeiro City, Brazil," Revista Panamericana de Salud Públic, vol. 23 no. 1, pp. 34-43, DOI: 10.1590/S1020-49892008000100005, 2008.
[53] A. Inotai, B. Hankó, Á Mészáros, "Trends in the non-steroidal anti-inflammatory drug market in six Central–Eastern European countries based on retail information," Pharmacoepidemiology and Drug Safety, vol. 19 no. 2, pp. 183-190, DOI: 10.1002/pds.1893, 2010.
[54] D. M. Nash, M. Markle-Reid, K. S. Brimble, E. McArthur, P. S. Roshanov, J. C. Fink, M. A. Weir, A. X. Garg, "Non-steroidal anti-inflammatory drug use and risk of acute kidney injury and hyperkalemia in older adults: a population-based study," Nephrology Dialysis Transplantation, vol. 34 no. 7, pp. 1145-1154, DOI: 10.1093/ndt/gfz062, 2019.
[55] A. Y. Hwang, S. M. Smith, "US trends in prescription non-steroidal anti-inflammatory drug use among patients with cardiovascular disease, 1988–2016," Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, vol. 41 no. 3, pp. 247-256, DOI: 10.1002/phar.2488, 2021.
[56] Z. Wang, T. Bhattacharyya, "Trends of non-union and prescriptions for non-steroidal anti-inflammatory drugs in the United States, 1993-2012," Acta Orthopaedica, vol. 86 no. 5, pp. 632-637, DOI: 10.3109/17453674.2015.1028860, 2015.
[57] J. Ortega-Montiel, A. Montoya, R. Soria-Saucedo, K. Gallegos-Carrillo, P. Ramirez-Palacios, J. Salmerón, E. Salazar-Martínez, Trends of Antihypertensive, Antidiabetic, and Non-steroidal Anti-inflammatory Drugs Use Among the Health Workers Cohort Study, Mexico 2004 to 2018, 2022.
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Abstract
Background. Hypertension and type 2 diabetes (T2D) are the most prevalent noncommunicable diseases in Mexico and worldwide. According to international practice management guidelines, the principal chronic management therapy is daily oral medication. Aim. We aim to describe the trends of antihypertensive, antidiabetic, and nonsteroidal anti-inflammatory (NSAID) drugs use among the Mexican adult population from 2004–2018. Methods. We analyzed data from the Health Workers Cohort Study (HWCS) for males and females aged >18 years. We calculated the prevalence of chronic diseases and utilization for every kind of antihypertensive, antidiabetic, and NSAIDs (measured by self-reported utilization) at baseline and two follow-ups (2004, 2010, and 2017). Trends were analyzed using Fisher’s exact test. Results. Hypertension prevalence increased from 19.8 to 30.3%, higher than T2D prevalence from 7.0 to 12.8% through fourteen years of follow-up. Like the self-reported dual therapy, the proportion of patients using beta-blockers and angiotensin II receptor blockers increased. Regarding T2D, the prevalence of metformin utilization increased to 83.9%. The utilization of common NSAIDs, mainly for muscular pain, remained around 13 to 16%. Conclusions. Our findings showed a changing prevalence of drug utilization for hypertension and T2D between 2004 and 2018 and consistent use of NSAIDs in the adult Mexican population.
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Details







1 Population Health Research Centre, National Institute of Public Health, Cuernavaca, Mexico
2 Carlos Slim Foundation, Mexico City, Mexico
3 Higher University of San Andres, La Paz, Bolivia
4 Epidemiology and Health Services Research Unit, Mexican Institute of Social Security, Cuernavaca, Mexico
5 Research Centre in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico