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Objectives: Abdominal obesity (AO) has become a public health issue due to its impact on health, society and the economy. The relationship between socioeconomic disparities and the prevalence of AO has yet to be studied in Peru. Thus, our aim was to analyze the socioeconomic inequalities in AO distribution defined using the International Diabetes Federation (IDF) cut-off points in Peruvian adults in 2018-2019., Methods: This was a cross-sectional study using data from the 2018-2019 Demographic and Family Health Survey (ENDES) of Peru. We analyzed a representative sample of 62,138 adults over 18 years of age of both sexes from urban and rural areas. Subjects were grouped into quintiles of the wealth to calculate a concentration curve and the Erreygers Concentration Index (ECI) in order to measure the inequality of AO distribution. Finally, we performed a decomposition analysis to evaluate the major determinants of inequalities., Results: The prevalence of AO among Peruvian adults was 73.8%, being higher among women than men (85.1% and 61.1% respectively, p < 0.001). Socioeconomic inequality in AO was more prominent among men (ECI = 0.342, standard error (SE) = 0.0065 vs. ECI = 0.082, SE = 0.0043). The factors that contributed most to inequality in the prevalence of AO for both sexes were having the highest wealth index (men 37.2%, women 45.6%, p < 0.001), a higher education (men 34.4%, women 41.4%, p < 0.001) and living in an urban setting (men 22.0%, women 57.5%, p < 0.001)., Conclusions: In Peru the wealthy concentrate a greater percentage of AO. The inequality gap is greater among men, although AO is more prevalent among women. The variables that most contributed to inequality were the wealth index, educational level and area of residence. There is a need for effective individual and community interventions to reduce these inequalities., Competing Interests: The authors have declared that no competing interests exist.

Objective: This study aims to identify factors associated with excessive screen time among preschoolers in Lima, Peru. Methods: Cross‐sectional analysis from a 2019 panel study in Lima, Peru, was conducted focusing on women, aged 18 and above, who are mothers of 3‐ to 5‐year‐olds in mid‐high and mid‐low districts. There were two outcome variables: excessive TV and excessive electronic devices screen time, defined as ≥ 1 h of screen exposure for each one. Explored factors included the mother's age, education and wealth index and the children's age, sex, physical activity, day care attendance and ultra‐processed food consumption. Crude (cPR) and adjusted prevalence ratios (aPR) were estimated for the association between associated factors and excessive screen time using the GLM Poisson of with a logarithmic link. Results: Excessive TV screen time and electronic devices prevalence was 74% and 36.9%, respectively. For TV screen time, a high wealth index (aPR 1.13; 95%CI: 1.03–1.23) and children's age (aPR 1.18; 95%CI: 1.08–1.29 for 4 years, PR = 1.17; 95%CI: 1.07–1.28 for 5 years) were significant. For electronic devices, significant associations included mothers with more than 3 children (aPR 0.77; 95%CI: 0.62–0.96), being single (aPR 1.27; 95%CI: 1.01–1.58) and a high wealth index (aPR 1.38; 95%CI: 1.13–1.68). Furthermore, significant associations were found between excessive electronic device screen time and consumption of candies and chocolates (aPR 1.38; 95%CI: 1.08–1.77). Conclusions: Seven out of 10 preschool children exceeded the recommended television screen time. Certain characteristics of the children, their mothers and the family's socio‐economic situation are related to excessive television screen time and excessive electronic device screen time. [ABSTRACT FROM AUTHOR]

Background: Oral diseases pose a significant public health challenge among Peruvian children. However, oral health services utilization among them is marked by inequalities, which may have been exacerbated by the COVID-19 pandemic. The objective was to compare the frequency, inequalities, determinants of inequality, and spatial distribution in oral health services utilization in Peruvian children under 12 years of age in 2017 and 2021. Methods: Comparative secondary data analysis from the Demographic and Family Health Survey (ENDES) for the years 2017 (38,787 minors) and 2021 (36,729 minors). Age-adjusted prevalence ratios (PR) with 95% confidence intervals (CI) were calculated to assess the change in oral health services utilization in the last 12 months between the years 2017 and 2021, stratifying by demographic and socioeconomic covariates. Inequality was assessed by decomposing the Erreygers Concentration Index (ECI) and calculating the percentage contribution to inequality of the independent variables. Spatial analysis was performed using spatial autocorrelation methods, Hot Spot Analysis, Cluster and Outlier analysis, Inverse Distance Weighting, ordinary Kriging, and Kulldorff analysis. Results: The probability of Peruvian children under 12 years of age using oral health services in the last 12 months was reduced by 45% in 2021 compared to 2017. The ECI identified a significant reduction in oral health services utilization inequalities at the national level (Diff: -0.0963; p < 0.001). The main contributor to inequality was higher tutor education level (55.2% in 2017 and 82.7% in 2021). In the comparison of spatial distribution, there was a greater dispersion of the conglomerates in which the use of oral health services is concentrated in 2021. Conclusions: The frequency of oral health services utilization in the Peruvian children under 12 years of age was halved between 2017 and 2021. This problem is transversal to the entire population at the demographic and socioeconomic level. The key factor contributing to inequalities in the utilization of oral health services was the higher educational attainment of caregivers or guardians. Despite the improvement observed in inequalities and spatial distribution of the concentration of oral health services utilization, it is necessary to keep monitoring these patterns to guide decision-making. [ABSTRACT FROM AUTHOR]

Despite the fact that vaccination coverage against COVID-19 has made great progress in Peru, there is still a quarter of the population that has not been fully vaccinated. This study aims to determine the factors associated with complete vaccination in Peruvian adults. An analysis of the National Household Survey 2022 in Peru was performed. Prevalence ratios with their 95% confidence intervals (95% CI) were estimated to assess the factors associated with vaccination with three or more doses of the COVID-19 vaccine. A total of 58,471 participants were included in the study and 75.8% of the surveyed population were found to have received full vaccination. Significant differences in complete coverage were observed according to sex, age, educational level, ethnicity, poverty status, and geographic location. In the adjusted analysis, individuals aged 60 years or older, those with higher educational attainment, the non-poor, and those living in urban areas were more likely to be fully vaccinated. Native individuals and people who live in households without media are less likely to be fully covered. These results highlight the importance of considering demographic and socioeconomic factors when analyzing COVID-19 vaccination coverage. Additional strategies are needed to address vaccination gaps and ensure better vaccination coverage. [ABSTRACT FROM AUTHOR]

To determine the socioeconomic and demographic factors associated with the influence of the nutritional traffic light (NTL) on the decision to purchase processed foods using information from the National Health and Nutrition Survey (ENSANUT) 2018 of Ecuador, a cross-sectional and analytical study based on a secondary analysis of the information from the ENSANUT 2018 was performed. We collected data from 25,932 participants 18 years of age or older who knew or had seen the NTL, and for whom complete information on the variables of interest for the study was available. The "Influence of the NTL on the purchase decision of processed foods" was the outcome variable of the study. Generalized linear models of the Poisson family, with log link, were used to assess the association between socioeconomic factors and outcome, using crude (PR) and adjusted (aPR) prevalence ratios, with 95% confidence intervals (CI) and a p-value < 0.05. Participants who understood the NTL (aPR: 2.49; 95% CI: 2.19–2.83), with a higher educational level (aPR: 1.33; 95% CI: 1.09–1.61), women (aPR 1.06; 95% CI: 1.01–1.10), and who had a partner (aPR 1.09; 95% CI: 1.04–1.14) were more likely to be influenced by the NTL when deciding to purchase processed foods, compared to people who did not understand the NTL, who had no educational level or who only attended a literacy center, were men, and those without a partner. The inhabitants of the coastal region (aPR: 0.92; 95% CI: 0.88–0.97), the Amazon (aPR 0.93; 95% CI: 0.88–0.98), and the insular region (aPR 0.76; 95% CI: 0.68–0.84) had few probabilities of being influenced by the NTL in the decision to purchase processed foods, in comparison with the residents of the highlands. Similarly, compared to non-poor people, poor people had a lower probability of being influenced by the NTL (aPR 0.89; 95% CI: 0.82–0.97). Factors associated with the influence of NTL on the decision to purchase processed foods were identified. It is recommended to reformulate and focus awareness strategies for using the NTL to purchase processed foods by taking into account the associated factors. [ABSTRACT FROM AUTHOR]

Objective: To estimate the prevalence and socio-economic inequalities in adequate consumption of fruits and vegetables in Peru between 2014 and 2019.Design: Analytical cross-sectional study. The outcome variable was adequate consumption of fruits and vegetables, defined as the consumption of five or more servings of fruits and vegetables per d (yes/no). We used concentration curves and Erreygers concentration index to describe socio-economic inequalities and a microeconometric approach to determine the contribution of each variable to inequality.Setting: Peru.Participants: Data from Peruvians aged 18 years or older collected by the Demographic and Family Health Survey.Results: The prevalence of adequate fruit and vegetable consumption did not change between 2014 (10·7 %; 95 % CI (10·0, 11·4)) and 2019 (11 %; 95 % CI (10·4, 11·7)). We found socio-economic inequalities in the adequate consumption of fruits and vegetables, with wealthier individuals having a higher prevalence of adequate consumption compared to poorer individuals in 2014 (19·2 % v. 3·5 %) and 2019 (18·6 % v. 4·7 %). The decomposition analysis found that education, urban areas and being wealthy were the main factors associated with socio-economic inequality in adequate fruit and vegetable consumption, being structural problems of society.Conclusion: Despite the current regulations on healthy eating in Peru, adequate consumption of fruits and vegetables remains low, and there are socio-economic inequalities between the poorest and wealthiest individuals. Our findings suggest that more efforts are needed to increase the intake and assess the disparities in adequate fruit and vegetable consumption. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the prevalence, associated factors and socioeconomic inequalities in chronic disease relapses (CDR) during 2020 in Peru. Methods: A secondary analysis was made of the National Household Survey on Living Conditions and Poverty (ENAHO) 2020. Participants older than 18 years who suffered from a chronic disease and with information about the occurrence of a CDR in the last 4 weeks prior to the survey were included. Adjusted prevalence ratios (aPRs) were estimated to determine the associated factors. Socioeconomic inequality in CDR was estimated using concentration curves (CC) and the Erreygers concentration index (ECI). Results: Data from 38,662 participants were analyzed; the prevalence of CDR in the last 4 weeks prior to the survey was 16.5% (95% CI: 15.8–17.2). Being female (aPR 1.29; 95% CI: 1.21–1.37), with regards to being male; being 30–39 (aPR 1.22; 95% CI: 1.05–1.42), 40–49 (aPR 1.29; 95% CI: 1.12–1.48), 50–59 (aPR 1.60; 95% CI: 1.41–1.82), and 60 years or older (aPR 1.80; 95% CI: 1.58–2.04), compared to 18–29; reaching up to primary (aPR 1.18; 95% CI: 1.07–1.31), or secondary education (aPR 1.13; 95% CI: 1.02–1.24), in contrast to tertiary education; presenting some physical, psychological or cognitive limitation (aPR 1.33; 95% CI: 1.21–1.46), with respect to experiencing no limitations; and being affiliated to a health insurance (aPR 1.18; CI 95%: 1.09–1.29), opposed to not having health insurance; were associated with a higher probability of CDR. Residing in the natural region of the coastal area (aPR 0.83; 95% CI: 0.74–0.92) was associated with a lower probability of relapse compared to residing in the jungle area. In people with limitations and residents of the jungle areas, the prevalence of CDR was concentrated in those with higher per capita spending. Conclusions: Approximately 1 in 6 Peruvians with chronic diseases had a relapse within the last 4 weeks prior to the survey of 2020 and certain geographic and sociodemographic factors were found to be associated with CDR. It was also found that a higher concentration of CDR was observed in the population with the highest per capita spending with some limitations, as well as in residents of the jungle, implying the need for appropriate policy interventions that address CDR with a special focus on these populations. [ABSTRACT FROM AUTHOR]

This study analyzes the factors associated with eye care service utilization among Peruvians 50 years of age and older, measured as self-reporting of having undergone examination of visual acuity during the last 12 months. A secondary analysis of the 2019 Demographic and Family Health Survey (ENDES, for its acronym in Spanish) database was carried out. We estimated the weighted proportion of adults 50 years of age and older that reported having undergone a visual acuity examination in the previous 12 months and the frequency according to the variables of interest. Crude (PR) and adjusted prevalence ratios (aPR) of eye care service utilization were constructed using generalized linear models. Approximately 28.8% of Peruvians 50 years of age and older underwent a visual acuity examination in the previous 12 months. Having a higher education (aPR = 1.79; 95% CI: 1.33–2.40), health insurance such as EsSalud (aPR = 1.54; 95% CI: 1.28–1.87), a previous diagnosis of cataracts (aPR = 1.86; 95% CI: 1.67–2.09) and being part of the richest wealth quintile (aPR = 2.36; 95% CI: 1.74–3.20) were associated with greater utilization of eye care services, while living in the jungle was associated with a lower likelihood of utilization of these services. The unequal distribution of health resources within the territory and socioeconomic gaps among the population could explain our findings. Further efforts are needed to fulfill the eye health needs of the Peruvian population. [ABSTRACT FROM AUTHOR]

Background: There is a global concern about the high rates of cesarean birth (CB). This study aimed to investigate the geographic and socioeconomic inequalities in CB rates in the Peruvian population. Methods: We conducted a population‐based study using the Peruvian Demographic and Family Health Surveys (ENDES, the Spanish acronym for Encuesta Demográfica y de Salud Familiar) between 2009 and 2018. ENDES reported data from births registered in the five years preceding survey execution. For the years 2009 (n = 10 289) and 2018 (n = 23 077), we calculated the weighted rates of CB among variables such as natural geographic domain (Coast, Andean, or Amazon), area of residence (rural or urban), wealth index quintile (quintile 1 is poorest, and quintile 5 is richest), and educational level. To assess inequalities, we calculated the concentration index (CIs), the slope index of inequality (SII), and the relative index of inequality (RII). Results: The CB rates by year were 21.4% (95% confidence interval [CI]: 20.0‐22.9) in 2009 and 34.5% (95% CI: 33.4‐35.5) in 2018. Women living in urban and coastal regions and with a higher education level had the highest CB rates. All the CIs were positive, reflecting a prowealthy inequality in CB rates, and both SII and RII were positive, indicating a gap between the use of cesarean in women in the higher wealth quintile compared with those in the lower quintile. Conclusions: Cesarean birth rates have increased by 60% during the last decade in Peru. The richest wealth quintiles had the highest CB rates during the study years, which were well above global recommendations. [ABSTRACT FROM AUTHOR]

The article reports that Peru is a country with notable inequalities regarding healthcare, these are concentrated in isolated geographic zones, and among vulnerable groups. Topics include limitations intrinsic to the health system and socioeconomic inequalities among the population with lack of infrastructure and trained staff to social programs; and nationwide quarantine and the informality of the workforce, which entails more out-of-pocket spending to obtain healthcare.

Objectives: This study was conducted to analyze the inequalities in Papanicolaou test (also referred to as the Pap smear) uptake according to the socio-demographic characteristics of Peruvian women 30 years to 59 years of age using information from the 2015-2017 Demographic and Family Health Survey (ENDES, acronym in Spanish).Methods: This is an analytical, cross-sectional study based on information acquired from the 2015-2017 ENDES surveys. Socio-demographic characteristics were reported using absolute frequencies and weighted proportions with 95% confidence intervals, considering results with a p-value <0.05 as statistically significant. Concentration curves (CCs) and concentration indices (IndCs) were created based on the interaction of the wealth index and uptake of Pap smears, taking into account the different characteristics of the population studied for the measure of inequalities.Results: All the CCs were distributed below the line of equality. Similarly, all the IndCs were higher than zero, indicating inequality in the uptake of Pap smears, favoring those with a higher wealth index. The highest IndC values were obtained from women aged 50-59 (IndC, 0.293), those who lived in the jungle (IndC, 0.230), and those without health insurance (IndC, 0.173).Conclusions: We found socio-demographic inequalities in the uptake of Pap smears in Peru, favoring women with a higher wealth index. More funding is needed to promote cervical cancer screening programs and to create systems that ensure equal access to healthcare in Peru. [ABSTRACT FROM AUTHOR]

Background: Oral health inequalities are profound worldwide. Despite major improvements in oral health, inequalities exist for many racial and ethnic groups, by socioeconomic status, gender, age, and geographic location. Therefore, the purpose of this study was to investigate trends of socio-economic inequalities in access to oral health services in Peru before and after the implementation of Universal Health Assurance (AUS). Methods: Analytical cross-sectional study based on the National Household Survey on Living Conditions and Poverty (ENAHO) 2004, 2008, 2010 and 2017. Two periods were defined before and after the AUS Law (2009). Use of oral health services was the dependent variable, for the general population and according to ages, the area of residence, and natural region. Measurements of inequality in the use of health services were made based on the concentration curves (CC), dominance test and concentration index (CI). Results: We included a number of 85,436 (2004), 88,673 (2008), 87,074 (2010) and 124,142 (2017) participants. The proportion of people who used oral health services was 8.4% (2014), 10.1% (2008), 10.6% (2010) and 10.4% (2017). Use of oral health services showed an increase in different age groups, urban and rural areas, and natural regions of residence during the study period. The CC were distributed below the line of equality, indicating an inequality of use of oral health services, in favor of the richest groups and dominance of the CC in 2017 over the previous years. Changes in the CI were statistically significant for < 5 years and in the rural area, and for the period 2010-2017 they were also significant in the general population, children aged 5-17 years, urban area, and Andean and Jungle regions, which indicates a reduction in the concentration of use of these services in these groups. Conclusions: The use of oral health services in Peru increased and inequality decreased in the period 2004-2017, coinciding with the implementation of the AUS. However, the use of these services continue having a distribution in favor of the richest populations. It requires the introduction of new strategies and oral health programs in the Peruvian population, with the aim of closing the gap currently mediated by the economic possibilities. [ABSTRACT FROM AUTHOR]