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1.
Prev Med ; 41(3-4): 800-6, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-16061280

RESUMO

BACKGROUND: Rapid health and nutrition transitional changes are resulting in greater prominence of non-communicable disease (NCD) in Latin America, particularly among the poor. OBJECTIVE: The study aims to examine the extent to which NCD pxfsrevails in Peru and the socioeconomic status (SES) as a risk factor. DESIGN: Between 1998 and 2000, health surveys and clinical assessments were completed on 2337 adults in six cities, 18 to 60 years of age. Stratified by social class, multi-staged random sampling was used. Anthropometric data, blood pressure and serum samples were collected. RESULTS: Adjusting for age, hypertension, low HDL cholesterol, high total cholesterol and diabetes was found in 47%, 40%, 21% and 17% of women and in 44%, 38%, 27% and 19% of men, respectively. Over one quarter of the population exhibited multiple risk factors, not including overweight and obesity. Across all study sites, lowest SES revealed highest burden of NCD and appeared as an independent risk factor for associated NCD indicators. CONCLUSION: The high prevalence of NCD in urban areas of Peru is not only associated with excess body weight, but also with poverty itself. The greater burden of NCD in the poorest areas of society requires a better understanding of causal determinants and may have implications in terms of public health policies and interventions.


Assuntos
Indicadores Básicos de Saúde , Pobreza , População Urbana , Adolescente , Adulto , Estudos Transversais , Feminino , Inquéritos Epidemiológicos , Humanos , Masculino , Pessoa de Meia-Idade , Peru/epidemiologia , Classe Social
2.
Prev Med ; 37(5): 396-405, 2003 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-14572424

RESUMO

BACKGROUND: Overweight and obesity have reached epidemic proportions in Latin America. OBJECTIVE: The purpose of this study was to explore social and behavioral factors associated with obesity in Peruvian cities. DESIGN: Between 1998 and 2000 health examination surveys were conducted among adults in 1176 families identified in six cities. Stratified by social class, multistaged random sampling was used. Using body mass index (weight (kg)/height (m)(2)), men and women were classified into normal weight (BMI <25), overweight (BMI 25-29), or obese (BMI > or =30); abdominal circumference (> or =94 cm in men and > or =84 cm in women) further identified morbidity risk. Several demographic, social, and behavioral variables were collected following standardized procedures. RESULTS: Adjusting for age, 37% of women were categorized as normal weight, 40% overweight, and 23% obese; corresponding figures for men were 40, 44, and 16%. More developed cities, e.g., Lima, Arequipa, and Ica, had the largest prevalence of overweight and obesity for both men and women. Adjusted logistic models showed that BMI > or =25 was positively correlated with age; whereas, education was negatively associated, only among women. Other significant associated factors of overweight included city of residence, television viewing > or =4 h daily in women, and underestimation of body weight status. CONCLUSIONS: The study showed elevated rates of overweight across the income level spectrum. Factors such as urban development stage, income, education, and gender posed differential relationships with the risk of overweight and must be considered in designing future public health interventions. Underestimation of body weight status and sedentary behavior may also constitute specific areas of intervention.


Assuntos
Família , Estilo de Vida , Obesidade/epidemiologia , Obesidade/etiologia , Classe Social , Saúde da População Urbana/estatística & dados numéricos , Adulto , Atitude Frente a Saúde , Escolaridade , Família/psicologia , Feminino , Comportamentos Relacionados com a Saúde , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Modelos Logísticos , Masculino , Análise Multivariada , Inquéritos Nutricionais , Obesidade/diagnóstico , Obesidade/psicologia , Peru/epidemiologia , Prevalência , Características de Residência/estatística & dados numéricos , Fatores de Risco , Distribuição por Sexo , Fatores Socioeconômicos , Inquéritos e Questionários , Televisão
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