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1.
BMC Womens Health ; 22(1): 67, 2022 03 12.
Artigo em Inglês | MEDLINE | ID: mdl-35279158

RESUMO

BACKGROUND: Internal migration, a consequence of the demographic transition towards urbanization driven by globalization, represents a particular public health challenge. Change in residence from one sociocultural geographic context to another, with not only economic implications, but also changes in women's long-established relationships of family interdependence, influences gender relations and can influence Intimate Partner Violence (IPV) against women. Different migratory trajectories may be related to IPV. The aim of this study was to identify the association between internal migration and physical and/or sexual violence against women in the last 12 months. METHODS: A secondary analytical cross-sectional analysis of the publicly accessible 2015-2017 Demographic and Family Health Survey (DHS) was performed. The outcome variable was reported physical and/or sexual violence inflicted by the partner (IPV) during the last 12 months. Exposure variable was internal migration, operationalized from three questions: current place of residence, principal place of residence before 12 years of age and number of years of residence in the current place. Migrants were classified as those who reported having lived for 5 years or more in the current location and were categorized as rural-rural migrants, urban-urban migrants, urban-rural migrants and rural-urban migrants, recent migrants and nonmigrants those who resided in the same place all their lives. To identify the association between internal migration and physical violence, a generalized linear model (GLM) of the family and the log Poisson link log option was used, and the results are presented as prevalence ratios (PRs). A crude model and a model adjusted for confounding variables were performed. RESULTS: Rural-urban migrant women had a 15.0% higher probability of experiencing IPV than nonmigrant women (PRa 1.15, 95% CI 1.03-1.29, p = 0.015), while the probability of experiencing IPV in the last 12 months for urban-rural, rural-rural,urban-urban migrantand recent migrant women was not significantly different from that of nonmigrant women. CONCLUSION: Rural-urban migration among women of childbearing age is a factor associated with a higher probability of IPV in the last 12 months. The identification of women with this rural-urban migration pattern could help prioritize those that may experience a greater probability of physical and/or sexual violence in Peru, it must be studied if this pattern is the same in other countries.


Assuntos
Violência por Parceiro Íntimo , Estudos Transversais , Feminino , Humanos , Lactente , Peru/epidemiologia , Dinâmica Populacional , Prevalência , Fatores de Risco , Parceiros Sexuais
2.
J Migr Health ; 3: 100015, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34095890

RESUMO

INTRODUCTION: There is a paucity of information about the association between acculturation and alcohol consumption in rural-to-urban migrants who move to urban environments usually characterized by a higher prevalence of alcohol consumption than their rural places of origin. OBJECTIVES: To evaluate the cross-sectional association between surrogates of acculturation and alcohol consumption in Peruvian rural-to-urban migrants; to explore the effects of sex and age at migration on these associations; and to explore this association longitudinally. METHODS: Data from the PERU MIGRANT Study, which evaluated a cohort of Peruvian rural-to-urban migrants from 2007 to 2012, were analyzed. Four acculturation surrogates were evaluated: language preference on the radio, language spoken at home, Spanish proficiency, and length of residence in urban area. Alcohol consumption was defined as having consumed alcohol in the last year at the time of the baseline survey, while onset of alcohol consumption was defined as having consumed alcohol in the last year at the follow-up survey. Poisson regressions with robust variance were performed to estimate crude and adjusted prevalence ratios (PR) and relative risks (RR) with a 95% confidence interval (95% CI) to cross-sectional and longitudinal analyses respectively. RESULTS: Data from 567 rural-to-urban migrants, mean age 47.6 years (SD ±11.5), 52% females, was included in the study. Crude cross-sectional analyses showed an association between acculturation surrogates and alcohol consumption, but these were not observed in adjusted regressions. In the sex-stratified analyses, only women showed an association between Spanish proficiency and alcohol consumption, where those with higher language proficiency had a 22% higher prevalence of alcohol consumption (PR: 1.22, 95% CI: 1.04-1.43). Analyses stratified by age at migration showed no association between acculturation surrogates and alcohol consumption. On the longitudinal analyses, acculturation surrogates were not associated with the onset of alcohol consumption. CONCLUSIONS: No association between acculturation surrogates and alcohol consumption in cross-sectional and longitudinal analyses were found. The only exception was observed in female migrants according to their Spanish proficiency and alcohol consumption .

3.
BMC Psychol ; 4: 22, 2016 May 04.
Artigo em Inglês | MEDLINE | ID: mdl-27142187

RESUMO

BACKGROUND: Positive mental health (PMH) is much more than the absence of mental illnesses. For example, PMH explains that to be happy or resilient can drive us to live a full life, giving us a perception of well-being and robustness against everyday problems. Moreover, PMH can help people to avoid risky behaviours like tobacco consumption (TC). Our hypothesis was that PMH is negatively associated with TC, and this association differs across rural, urban and migrant populations. METHODS: A cross-sectional study was conducted using the PERU MIGRANT Study's dataset, including rural population from the Peruvian highlands (n = 201), urban population from the capital city Lima (n = 199) and migrants who were born in highlands but had to migrated because of terrorism (n = 589). We used an adapted version of the 12-item Global Health Questionnaire to measure PMH. The outcome was TC, measured as lifetime and recent TC. Log-Poisson robust regression, performed with a Maximum Likelihood method, was used to estimate crude prevalence ratios (PR) and 95 % confidence intervals (95%CI), adjusted by sex, age, family income and education which were the confounders. The modelling procedure included the use of LR Test, Akaike information criteria (AIC) and Bayesian information criteria (BIC). RESULTS: Cumulative occurrence of tobacco use (lifetime TC) was 61.7 % in the rural group, 78 % in the urban group and 76.2 % in rural-to-urban migrants. Recent TC was 35.3 % in the rural group, 30.7 % in the urban group and 20.5 % in rural-to-urban migrants. After adjusting for confounders, there was evidence of a negative association between PMH and lifetime TC in the rural group (PR = 0.93; 95%CI: 0.87-0.99), and a positive association between PMH and recent TC in migrants (PR = 1.1; 95%CI: 1.0-1.3). CONCLUSIONS: PMH was negatively associated with TC in rural participants only. Urbans exhibited just a similar trend, while migrants exhibited the opposite one. This evidence represents the first step in the route of knowing the potential of PMH for fighting against TC. For rural populations, this study supplies new information that could support decisions about prevention programmes and psychotherapy for smoking cessation. However, more research in the topic is needed.


Assuntos
Saúde Mental , Uso de Tabaco/psicologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Teorema de Bayes , Estudos Transversais , Estudos Epidemiológicos , Feminino , Humanos , Funções Verossimilhança , Masculino , Pessoa de Meia-Idade , Satisfação Pessoal , Peru , Prevalência , Fatores de Risco , População Rural/estatística & dados numéricos , Fatores Socioeconômicos , Inquéritos e Questionários , Migrantes/psicologia , População Urbana/estatística & dados numéricos
4.
Public Health Nutr ; 19(7): 1270-8, 2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-26365215

RESUMO

OBJECTIVE: To evaluate the association between length of residence in an urban area and obesity among Peruvian rural-to-urban migrants. DESIGN: Cross-sectional database analysis of the migrant group from the PERU MIGRANT Study (2007). Exposure was length of urban residence, analysed as both a continuous (10-year units) and a categorical variable. Four skinfold site measurements (biceps, triceps, subscapular and suprailiac) were used to calculate body fat percentage and obesity (body fat percentage >25% males, >33% females). We used Poisson generalized linear models to estimate adjusted prevalence ratios and 95 % confidence intervals. Multicollinearity between age and length of urban residence was assessed using conditional numbers and correlation tests. SETTING: A peri-urban shantytown in the south of Lima, Peru. SUBJECTS: Rural-to-urban migrants (n 526) living in Lima. RESULTS: Multivariable analyses showed that for each 10-year unit increase in residence in an urban area, rural-to-urban migrants had, on average, a 12 % (95 % CI 6, 18 %) higher prevalence of obesity. This association was also present when length of urban residence was analysed in categories. Sensitivity analyses, conducted with non-migrant groups, showed no evidence of an association between 10-year age units and obesity in rural (P=0·159) or urban populations (P=0·078). High correlation and a large conditional number between age and length of urban residence were found, suggesting a strong collinearity between both variables. CONCLUSIONS: Longer lengths of urban residence are related to increased obesity in rural-to-urban migrant populations; therefore, interventions to prevent obesity in urban areas may benefit from targeting migrant groups.


Assuntos
Obesidade/epidemiologia , Características de Residência , População Rural , População Urbana , Tecido Adiposo/metabolismo , Adolescente , Adulto , Idoso , Criança , Pré-Escolar , Estudos Transversais , Feminino , Humanos , Lactente , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Peru/epidemiologia , Prevalência , Fatores de Risco , Sensibilidade e Especificidade , Fatores Socioeconômicos , Fatores de Tempo , Migrantes , Adulto Jovem
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