This statistic presents the results of a survey conducted to find out people's perceptions about a country's brand, based on several factors such as awareness, visitation and advocacy. When asked how they would rate Brazil's quality of life, ** percent of respondents stated the South American country had good health and education systems.

As of 2023, e-government was the aspect of digital quality recording the highest score in Brazil, amounting to roughly 0.16. By contrast, internet affordability recorded the lowest score, just around 0.02.

Objective: to analyze the association of depression levels with aspects of Quality of Life (QoL) in elderly users of Primary Health Care (PHC) in Brazil and Portugal. Methods: cross-sectional study, carried out with elderly people from PHC in Brazil and Portugal, between 2017 and 2018. We obtained a non-random sample of participants and selected for convenience. The Medical Outcomes Short-Form Health QoL (SF-36) instruments were used to measure QOL and the Beck Inventory to assess depression. We regrouped the variables of depression levels into “Absent/Mild” and “Moderate/Severe” and tested the crossing between them and the categorical variables of QOL “Better QoL” and “Worse QoL. Results: the total sample consisted of 150 participants (Brazil n= 100 and Portugal n= 50). In the association analysis between the variables of each group (Brazil and Portugal), we identified, in the Absent/Mild depression subcategory (n=129), the prediction for Better QoL in Portugal in the Functional Aspect domains (p-value =0.027/OR= 2.768), Physical Aspect (p-value <0.001/OR= 5.864) and in the Physical Health dimension (p-value=0.002/OR= 3.752). The binary logistic regression analysis highlighted the Physical Aspect domain, with R²=0.165 (p-value <0.001) and the Physical Health dimension, with R²=0.109 (p-value= 0.002). Conclusions: we concluded that there was an association between better assessments of physical and functional aspects of QoL with lower levels of depression, in which those related to physical health and functionality stood out. Portugal presented better QOL assessments compared to Brazil.

In December 2023, 74 percent of the population surveyed said that Brazil was a good country to live in. In contrast, only eight percent of respondents declared that it was a bad country to reside in.

ABSTRACT Introduction There are many determinants that compromise the health and quality of life of resident physicians. Knowledge about the residents’ quality of life subsidize actions to improve personal and professional quality of life of these individuals and thus ensure improvement in the quality of care provided to patients. Objective To evaluate the quality of life of Brazilian orthopedic residents and the factors that influence it. Method This is a descriptive, cross-sectional and quantitative study conducted through a self-answered questionnaire to assess the quality of life of orthopedic residents in Brazil. The WHOQOL-abbreviated quality of life questionnaire and a demographic questionnaire were used. Results A total of 250 third-year orthopedic residents participated in this study. The variables that positively influenced the quality of life were: being well-organized for studying, studying 01 h or more per day, having access to the scientific database and speaking a foreign language, having a good quality of sleep, having a good evaluation of one’s residency and residency performance and having chosen one’s sub-specialty in orthopedic. It was also observed in this study that the residents were distributed in three groups with different quality of life degrees (with significant difference between them): Degree III > Degree II > Degree I. The individuals in the group of Degree three, who showed higher scores in all domains (71.7 to 81.1), mostly comprehends those who have already chosen the sub-specialty in orthopedic, have an excellent/good quality of sleep and evaluate their performance in the medical residency as good. Conclusion Orthopedic residents perceive their QoL as being good to excellent, but residents with poor sleep quality, those who have not chosen a subspecialty, who study less than an hour per day, have poor academic performance, and poor residency evaluation, have a worse perception of their QoL. These issues should be the targeted areas for specific interventions aiming to achieve a higher level of QoL.

This dataset contains anonymized data collected from a cross-sectional study conducted in Tocantinópolis, Brazil, focusing on the functional capacity and health-related quality of life (HRQoL) of adults living with type 2 diabetes mellitus (T2DM). Instruments applied include the WHOQOL-bref and the International Physical Activity Questionnaire (IPAQ). Data were gathered as part of doctoral research in Public Health and are intended to support open scientific discussion and reproducibility.

ABSTRACT Objective This study aimed to establish the utility values of different health states associated with diabetic retinopathy in a Brazilian sample to provide input to model-based economic evaluations. Subjects and methods This cross-sectional study was performed in a sample of patients with type 2 diabetes mellitus (T2D) who underwent teleophthalmology screening at a primary care service from 2014 to 2016. Five diabetic retinopathy health states were defined: absent, non-sight-threatening, sight-threatening, and bilateral blindness. Utility values were estimated using the Brazilian EuroQol five dimensions (EQ-5D) tariffs. Descriptive statistics were calculated. Analysis of covariance was performed to adjust the utility values for potential confounders. Results The study included 206 patients. The mean (± standard deviation [SD]) utility value was 0.765 ± 0.19 (95% confidence interval [CI], 0.740–0.790). The adjusted mean utility value was 0.748 (95% CI, 0.698–0.798) in patients without diabetic retinopathy, 0.752 (95% CI, 0.679–0.825) in those with non-sight-threatening state, 0.628 (95% CI, 0.521–0.736) in those with sight-threatening state, and 0.355 (95% CI, 0.105–0.606) in those with bilateral blindness. A significant utility decrement was found between patients without diabetic retinopathy and those with a sight-threatening health state (0.748 vs. 0.628, respectively, p = 0.04). Conclusions The findings suggest that a later diabetic retinopathy health state is associated with a decrement in utility value compared with the absence of retinopathy in patients with T2D. The results may be useful as preliminary input to model-based economic evaluations. Further research is needed to investigate the impact of diabetic retinopathy on health-related quality of life in a sample more representative of the Brazilian population.

BackgroundFew studies have evaluated the association between quality of life (QoL) and functional activity limitations (FAL) of leprosy patients as determined by the Screening of Activity Limitation and Safety Awareness scale (SALSA).AimTo identify the association between FALs and the QoL of patients during and post leprosy treatment.Materials and MethodsCross-sectional survey of 104 patients with leprosy followed in specialist reference centres in Sergipe, Brazil, between June and October 2014. QoL was evaluated using the World Health Organization-QoL-BREF (WHOQoL-BREF) questionnaire. The SALSA scale was used to measure FALs.ResultsLow SALSA scores were present in 76% of patients. QoL scores were lower for the physical and environmental domains, with median (interquartile range (IQR)) scores of 53.6 (32.1–67.9) and 53.1 (46.9–64.8), respectively. There was a statistical association between increasing SALSA scores and lower QoL as measured by the WHOQoL-BREF.ConclusionFunctional limitations are associated with lower QoL in leprosy patients, especially in the physical and environmental WHOQoL-BREF domains.

ABSTRACT Objective To investigate the family quality of life (FQoL) among Brazilian families who have children with moderate intellectual disability (ID). Methods A cross-sectional study was carried out with 50 families who have children with moderate DI from São Carlos, São Paulo, Brazil. Data were collected by questionnaires including sociodemographic information, Barthel and Lawton & Brody functional indexes, and the Beach Center Family Quality of Life Scale. Results The domains “family interaction” (r = 0.870; p < 0.001) and “parenting” (r = 0.845; p < 0.001) were more strongly correlated with the total FQoL. There were no differences in the distribution of FQoL according to the sociodemographic variables investigated. A moderate (r = 0.326) and significant (p = 0.021) correlation was observed between the Lawton and Brody functional index and the FQoL. The adjusted linear regression model explained 10.6% of the variability found in the FQoL (p = 0.021) and showed that the increase of one point in the Lawton and Brody index represented an increase of 0.092 in the FQoL. Conclusion The FQoL of the families investigated is below other international samples. Clinical actions that strengthen dialogue and family cohesion, and the construction of an individualized therapeutic plan can be effective ways to help these families.

Abstract

This study is the result of the socio-demographic and labor analysis of refugee residents in Brazil and represents a milestone in the production of knowledge about the integration of this population into the country. The study shows that most of the interviewees maintain close ties with family, friends and entities located in the countries of origin and, at the same time, demonstrate great knowledge of the Brazilian culture and want to become Brazilian citizens. Nevertheless, they pointed out obstacles to integration, including discriminatory acts. Several factors explain the vulnerability of the refugee population in Brazil: labor market, low wages or insufficient income, difficulty in recognizing diplomas and accessing public or banking services. All these factors, common to a large part of the Brazilian population, have a more striking impact on the quality of life of the refugee population.

Analysis unit

Individual

Sampling procedure

For the realization of the field work, a sample design was elaborated to take into account the intentional sampling by quotas, to estimate proportions of sociodemographic variables, with a total of 500 interviews being established. This sample was applied in 14 cities, distributed in eight Federation Units which concentrate 94% of refugees under the protection of the Brazilian government. The allocation of the number of interviews in each of the states took into account their relative share in the total sample.

Mode of data collection

Face-to-face [f2f]

Objective: to analyze the association of depression levels with aspects of Quality of Life (QoL) in elderly users of Primary Health Care (PHC) in Brazil and Portugal. Methods: cross-sectional study, carried out with elderly people from PHC in Brazil and Portugal, between 2017 and 2018. We obtained a non-random sample of participants and selected for convenience. The Medical Outcomes Short-Form Health QoL (SF-36) instruments were used to measure QOL and the Beck Inventory to assess depression. We regrouped the variables of depression levels into “Absent/Mild” and “Moderate/Severe” and tested the crossing between them and the categorical variables of QOL “Better QoL” and “Worse QoL. Results: the total sample consisted of 150 participants (Brazil n= 100 and Portugal n= 50). In the association analysis between the variables of each group (Brazil and Portugal), we identified, in the Absent/Mild depression subcategory (n=129), the prediction for Better QoL in Portugal in the Functional Aspect domains (p-value =0.027/OR= 2.768), Physical Aspect (p-value <0.001/OR= 5.864) and in the Physical Health dimension (p-value=0.002/OR= 3.752). The binary logistic regression analysis highlighted the Physical Aspect domain, with R²=0.165 (p-value <0.001) and the Physical Health dimension, with R²=0.109 (p-value= 0.002). Conclusions: we concluded that there was an association between better assessments of physical and functional aspects of QoL with lower levels of depression, in which those related to physical health and functionality stood out. Portugal presented better QOL assessments compared to Brazil.

The size of the Brazil Artificial Organs & Bionic Implants market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 11.69% during the forecast period.Modern advanced medical technologies that replace, supplement, or augment malfunctioning organs and limbs are made up of artificial organs and bionic implants. Artificial organs - made up of mechanical devices with all possible functions of natural organs; for example, artificial heart, kidney, and liver-bionic implants are electronic apparatuses that can be embedded in the human body, such as cochlear implant for hearing loss or amputees prosthetic limb.Factors driving this market of artificial organs and bionic implants in Brazil are a surging aging population, high prevalence of chronic diseases, and increasing healthcare expenditures. With a strong infrastructure for health care and heightened awareness towards advanced medical technology, Brazil is a strong market that is witnessing growth. Even though the market is still in its infancy, great breakthroughs in medical research and technology are in store for the future. Continued investment in healthcare infrastructure and technological innovation by Brazil will increase the demand for artificial organs and bionic implants, thereby improving the quality of life for many Brazilians. Key drivers for this market are: , Increasing Organ Failure Owing to Aging and Age-related disorders; Increasing Accidents and Injuries Leading to Amputations. Potential restraints include: , Fear of Device Malfunction and its Consequences. Notable trends are: Cardiac Bionics Segment is Expected to Have a Highest Growth Rate in the Forecast Period.

OBJECTIVE: To identify factors associated with quality of life of elderly attending a Health Unit in Ceilandia, Federal District, Brazil. METHOD: Quantitative approach with descriptive cross-sectional design conducted with 277 elderly through interviews to investigate demographic, socioeconomic, and clinical variables and application of the WHOQOL-bref, with descriptive statistical analysis. RESULTS: The elderly showed better quality of life in the domain "social relations", followed by "psychological", "physical" and finally "environment". CONCLUSIONS: Factors significantly associated with quality of life in this study were: disease, smoking, physical activity, visual and history of falls. The problems / barriers known in this study can guide the health professionals who work at primary health care. The targeted assistance may enable a trusting relationship between the health professional and the elderly as well as help them to solve the problems / barriers that affect their quality of life.

In Brazil Adult Diaper Market, The growing focus on dignity, hygiene, and quality of life among elderly citizens, combined with a rising incidence of chronic health issues such as diabe

Abstract

The purpose of the Ageing, Wellbeing and Development Project (Brazza2) was to investigate the impact on poverty and vulnerability within beneficiary households in Brazil and South Africa of grants, social pensions and the like. The survey aimed to help researchers interrogate the extent to which social assistance was enhancing quality of life, and whether income from old-age pensions and other social grants enhanced the material and perceived well-being of social pensioners and members of households.The study also inquired into perceptions of fortune and misfortune, to provide clues to the role of social assistance in boosting poorer households' resilience and their independence from the State.

Analysis unit

Households and individuals

Universe

South Africa: the survey covered all members of African households in rural Eastern Cape and African and Coloured households in urban Western Cape.

Kind of data

Survey data

Sampling procedure

South Africa: In South Africa, a company called Development Research Africa were commissioned to conduct the data collection. To conduct the sampling for this, they requested a list of EAs from Stats SA that satisfied the following criteria:

1. Predominantly black or coloured EAs
2. Predominantly defined (by Stats SA) as urban (formal or informal) in the Western Cape
3. Predominantly defined (by Statssa) as tribal or semi urban in the Eastern Cape; and
4. Did not contain institutions or farming areas (these EAs were excluded)

These CEAs were sent to DRA in several excel spreadsheets under the following headings for each magisterial district:

1. Geographical areas by population group of head of household for person weighted (African/Black or Coloured)
2. Geographical areas by enumeration area type for person weighted (rural: tribal villages, urban: formal or urban: informal)
3. Geographical areas by age for person weighted (56 years and older)
4. Geographical areas for household weighted (which provided the total number of households per CEA).

These data files were collated and then merged into three separate spreadsheets reflecting the respondent categories. All CEAs containing less than eighty households were deleted to further ensure that institutions or farming areas (as well as urban areas in the Eastern Cape) would not become eligible and also to limit the possibility of selecting CEAs with no eligible respondent households. These three databases became the three sample frames used to select the sample.

All the remaining CEAs were sorted in ascending order. A PSS sampling method was used to select the sample. This means that CEAs with a larger number of households have a greater chance of being selected into the sample. The two CEAs directly below the selected EAs were included as possible substitutions. Once the EA numbers were selected the maps were sourced from Stats SA. Only then could one determine the location of these CEAs. Because of the PPS methodology, EAs from smaller magisterial districts fell short of being selected into the sample whilst larger magisterial districts had more than one EA selected. In the Western Cape, the EAs could relatively easily be found on Cape Town street maps.

Twenty clusters or EAs were selected per respondent category. The target per category was about 333 interviews. It follows that about 17 interviews (333/20=17) had to be done per CEA. The desired number of households that need to be approached in a cluster or EA was the segment size. The segment size was dependent on the percentage of households that contain at least one person aged 55 years and over and on the response rate assumed. The segment size for each of the CEAs in the sample was calculated individually. For example, if 33 persons aged 55 or older resided in the CEA with 120 households and assuming a 95% response rate, 59 households would have to be approached (17/(15/120)*0.95) in the CEA in order to obtain 17 successful interviews per CEA. One limitation to the study here was that this formula does not take into consideration the possibility of two or more persons in this age category residing in a household.

Once the maps were acquired from Stats SA, they were verified and updated by the fieldworker through identifying the EA boundaries and by entering any features or changes to the map. The number of households were then counted and divided into segments with approximately equal number of households. One calculates the number of segments by dividing the segment size (described in the previous paragraph) by the actual number of households found and recorded in the EA. Some EAs may have only one segment (if segment size > total number of households in EA) or may have as many as five or six segments. One segment is then randomly selected. All the households in a particular segment were approached and all target households identified and surveyed. Finally, within the households, the person most knowledgeable about how money is spent in the household was selected as the first respondent. Thereafter all individuals 55 years of age and over were interviewed. The fieldworkers had to make three visits per household where the respondents were not available to maximize the possibility that the interview would be completed with the selected respondent. The project manager monitored the number of completed interviews. In instances where it seemed that the overall target of 333 interviews per respondent category area was unlikely, the fieldworkers had to survey the whole EA.

The twenty randomly-selected EAs in the rural Eastern Cape were located in the former Transkei and Ciskei 'homelands' in the magisterial districts of Zwelitsha, Keiskammahoek, Engcobo, Idutywa, Kentani, Libode, Lusikisiki, Mqanduli, Ngquleni, Nqamakwe, Port St Johns, Qumbu, Cofimvaba, Tabankulu, Tsomo, Willowvale and Lady Frere. The twenty randomly-selected EAs in the Cape Town metropole targeting urban black households were located in the magisterial districts of Goodwood, Wynberg, Mitchell's Plain (which includes the sprawling township of Khayelitsha) and Kuils River. The twenty randomly-selected EAs targeting urban coloured households were located in the same magisterial districts in Cape Town metropole as those targeting urban black households with the addition of Bellville.

The 2002 sample design prescribed that all households selected in the last stage, in the EA segment, had to be interviewed. As a result, a larger sample size was achieved in 2002 than the originally planned sample of 1000 interviews. A total of 1111 interviews was realised in 2002: 374 in rural black households, 324 in urban black households and 413 in urban coloured households.

Approximately 79% of households included in the 2009 survey were the same ones that participated in the earlier 2002 wave. A significantly higher proportion of rural black (94%) households than urban black (72%) and urban coloured (71%) ones were traced. A household that could not be traced was replaced by another older household in the same enumerator area. An estimated 69% of the 4199 household members enumerated in 2002 were traced to 2009. In total, 1286 individuals could not be traced. In this group 18% were reportedly temporarily absent, 55% had moved away permanently, and 27% (or 346 individuals) had died. This paper is based on information supplied by a total of 1059 households in the 2009 survey: 362 rural black households, 299 urban black households, and 398 urban coloured households.

Brazil: Note that some of the information on sampling for the following section was taken from a document originally written in Portuguese and translated using Google translate. The original document is available with this dataset and is titled: "Benefícios Não-Contributivos e o Combate à Pobreza de Idosos no Brasil"

The approach taken in Brazil was similar to the one taken in South Africa, as the territorial expansiveness made it difficult to obtain a nationally representative sample of with a relatively small number of households. The alternative was to seek to expand the regional coverage as far as possible within the research budget. Two large regions were selected for field research. The first was the metropolitan area of Rio de Janeiro, in which the population of Rio de Janeiro state is most heavily concentrated. This is one of the most developed states in the country. Four counties were chosen within the metropolitan area. Three neighboring counties, Duke Caxias, Nova Iguaçu and São João de Meriti, were also selected. To represent the elderly population of the poorest regions of the country, a state in the Northeast was selected. Three possibilities were considered: Bahia, Pernambuco and Ceara. These have the the largest populations in the Northeast. The state of Bahia was chosen because of its proximity to Rio de Janeiro (making it more affordable to process the data). Of the major cities of Bahia, Ilheus was chosen as it had a more rural population, which the study aimed to capture.

The sample target was defined at around a thousand households with at least one person aged 60 or over in the household. Aiming to diversifying the population surveyed, the sample was divided into four groups, each with about one fourth of the sample. Thus, the state of Rio de January was half of the sample, and the rest distributed in the three counties in the Rio de Janeiro metropolitan area. The other half was divided in two, half being in the urban, and the other rural, in the municipality of Ilheus.

To select of households within each municipality the Brazilian 2000 Census data was used. Sectors with low income and high population of elderly, maximizing the probability of finding elderly not receiving contributory benefits, were chosen. The criteria used were:

1. At least 100

Replications materials for "The Dynamics of Partisan Identification when Party Brands Change: The Case of the Workers Party in Brazil" "Two-City, Six-Wave Panel Survey, Brazil" (2002, 2004, 2006). Sample: Representative samples of (1) Caxias do Sul, Rio Grande do Sul and (2) Juiz de Fora, Minas Gerais. Topic areas: Neighborhood quality of life, worst problems, economic assessments, political participation, media and campaign attention, civil society and neighborhood involvement, political discussion frequency, trust in government and institutions, vote choice, core values, interpersonal persuasion, feeling thermometers of groups and politicians, party identification, ideology, candidate trait assessments, candidate ideological and issues placement, issues self-placement, evaluation of Lula's government, political knowledge, discussant name generator. Sample size: About 25,000 interviews. Special features: Interviews with named political discussants, 100 interviews per neighborhood.

CONTEXT AND OBJECTIVE The Nonarthritic Hip Score (NAHS) is a clinical evaluation questionnaire that was developed in the English language to evaluate hip function in young and physically active patients. The aims of this study were to translate this questionnaire into the Brazilian Portuguese language, to adapt it to Brazilian culture and to validate it. DESIGN AND SETTING Cohort study conducted between 2008 and 2010, at Universidade do Estado do Rio de Janeiro (UERJ). METHODS Questions about physical activities and household chores were modified to better fit Brazilian culture. Reproducibility, internal consistency and validity (correlations with the Algofunctional Lequesne Index and the Western Ontario and McMaster Universities Arthritis Index [WOMAC]) were tested. The NAHS-Brazil, Lequesne and WOMAC questionnaires were applied to 64 young and physically active patients (mean age, 40.9 years; 31 women). RESULTS The intraclass correlation coefficient (which measures reproducibility) was 0.837 (P < 0.001). Bland-Altman plots revealed a mean error in the difference between the two measurements of 0.42. The internal consistency was confirmed through a Cronbach alpha of 0.944. The validity between NAHS-Brazil and Lequesne and between NAHS-Brazil and WOMAC showed high correlations, r = 0.7340 and r = 0.9073, respectively. NAHS-Brazil showed good validity with no floor or ceiling effects. CONCLUSION The NAHS was translated into the Brazilian Portuguese language and was cross-culturally adapted to Brazilian culture. It was shown to be a useful tool in clinical practice for assessing the quality of life of young and physically active patients with hip pain.

OBJECTIVE: To evaluate the dimensions of health-related quality of life in older adults and its relationship with organizational religious affiliation (ORA), non-organizational religious affiliation (NORA) and intrinsic religiosity (IR). METHOD: Cross-sectional study with quantitative approach, with a random sample of 82 elderly enrolled in the Family Health Strategy in Capoeiruçu, Cachoeira-BA, Brazil. RESULTS: The female dominated with 61.4%. The mean age was (71 ± 9.39). In the eight dimensions of quality of life, the score ranged from 64.3 to 77.3. ORA was 74.4%; NORA was 89.1. For questions about IR: feel the presence of God, act according to their beliefs and if they strive to live the religion in all aspects of life, percentages of 95%, 90.2% and 84.2% were respectively found. Using the chi-square test, it was found that the dimension "limitations due to emotional problems" received the greatest influence of ORA (X2= 11.539; p= 0.001; Cramer's V= 0.372), NORA (X2= 7.949; p= 0.005; Cramer's V= 0.309) and IR (X2= 5.126; p= 0.05; Cramer's V= 0.249). It was also found a positive influence on the limitations due to physical, bodily pain, general health, mental and social health. No association was found between religiosity and "functional capacity" and "vitality" dimensions. CONCLUSIONS: It is inferred that there is a positive association between religiosity in its three dimensions (ORA, NORA and IR) and health-related quality of life for the elderly.

As of 2020, 33 percent of Brazilians who emigrated to the United Kingdom did so in search of a better quality of life. Lack of job opportunities in Brazil was the reason for 19 percent of respondents, while 16 percent moved to the UK to join partners or family members.

Abstract The aim of this study was to evaluate the influence of the Brazilian School Health Program (SHP) on dental clinical disorders such as caries, gingivitis, and dental trauma as well as on the oral-health-related quality of life (OHRQoL) of adolescents in Nova Friburgo, RJ, Brazil. The study consisted of a non-probabilistic (convenience) sample comprising 319 12-year-old adolescents, both participants and non-participants of the SHP, for at least two years. Socio-demographic and OHRQoL questionnaires (CPQ11-14, the Child Perceptions Questionnaire) were applied as well as clinical examinations for caries, periodontal disease, and dental trauma following the World Health Organization (WHO) criteria by calibrated researchers. Mann-Whitney, chi-square tests, and multiple logistic regression models were used for the data analysis. Statistically significant differences were observed between the groups covered and not covered by the SHP for gingivitis (p = 0.0373) and OHRQoL on the social welfare subscale (p = 0.0265) and total scale (p = 0.0449) of CPQ11-14. Multivariate analysis showed that female adolescents were 1.74 times more likely to present a lower OHRQoL (OR = 1.74, 95%IC = 1.10–2.77, p = 0.0183) than males. In addition, non-SHP subjects were 1.56 times more likely to have poor OHRQoL (OR = 1.56, 95%IC = 0.94–2.59, p = 0.0873) than program participants. In conclusion, SHP positively influenced the OHRQoL of adolescents. However, follow-up studies are needed to verify the continued effectiveness of this Brazilian SHP in improving the oral health levels and quality of life of adolescents.