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1.
BMC Public Health ; 23(1): 1666, 2023 08 30.
Artigo em Inglês | MEDLINE | ID: mdl-37649005

RESUMO

BACKGROUND: Sedentary lifestyle and unhealthy diet combined with overweight are risk factors for type 2 diabetes (T2D). Lifestyle interventions with weight-loss are effective in T2D-prevention, but unsuccessful completion and chronic stress may hinder efficacy. Determinants of chronic stress and premature cessation at the start of the 3-year PREVIEW study were examined. METHODS: Baseline Quality of Life (QoL), social support, primary care utilization, and mood were examined as predictors of intervention cessation and chronic stress for participants aged 25 to 70 with prediabetes (n = 2,220). Moderating effects of sex and socio-economic status (SES) and independence of predictor variables of BMI were tested. RESULTS: Participants with children, women, and higher SES quitted intervention earlier than those without children, lower SES, and men. Lower QoL, lack of family support, and primary care utilization were associated with cessation. Lower QoL and higher mood disturbances were associated with chronic stress. Predictor variables were independent (p ≤ .001) from BMI, but moderated by sex and SES. CONCLUSIONS: Policy-based strategy in public health should consider how preventive interventions may better accommodate different individual states and life situations, which could influence intervention completion. Intervention designs should enable in-built flexibility in delivery enabling response to individual needs. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01777893.


Assuntos
Diabetes Mellitus Tipo 2 , Qualidade de Vida , Criança , Feminino , Humanos , Masculino , Diabetes Mellitus Tipo 2/prevenção & controle , Fatores Econômicos , Estilo de Vida , Atenção Primária à Saúde
2.
J Obes ; 2013: 512914, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23762538

RESUMO

PURPOSE: It is unclear whether sociocultural and socioeconomic factors are directly linked to type 2 diabetes risk in overweight/obese ethnic minority children and adolescents. This study examines the relationships between sociocultural orientation, household social position, and type 2 diabetes risk in overweight/obese African-American (n = 43) and Latino-American (n = 113) children and adolescents. METHODS: Sociocultural orientation was assessed using the Acculturation, Habits, and Interests Multicultural Scale for Adolescents (AHIMSA) questionnaire. Household social position was calculated using the Hollingshead Two-Factor Index of Social Position. Insulin sensitivity (SI), acute insulin response (AIRG) and disposition index (DI) were derived from a frequently sampled intravenous glucose tolerance test (FSIGT). The relationships between AHIMSA subscales (i.e., integration, assimilation, separation, and marginalization), household social position and FSIGT parameters were assessed using multiple linear regression. RESULTS: For African-Americans, integration (integrating their family's culture with those of mainstream white-American culture) was positively associated with AIRG (ß = 0.27 ± 0.09, r = 0.48, P < 0.01) and DI (ß = 0.28 ± 0.09, r = 0.55, P < 0.01). For Latino-Americans, household social position was inversely associated with AIRG (ß = -0.010 ± 0.004, r = -0.19, P = 0.02) and DI (ß = -20.44 ± 7.50, r = -0.27, P < 0.01). CONCLUSIONS: Sociocultural orientation and household social position play distinct and opposing roles in shaping type 2 diabetes risk in African-American and Latino-American children and adolescents.


Assuntos
Negro ou Afro-Americano/estatística & dados numéricos , Diabetes Mellitus Tipo 2/etnologia , Hispânico ou Latino/estatística & dados numéricos , Obesidade Infantil/etnologia , Fatores Socioeconômicos , Adolescente , Fatores Etários , Análise de Variância , Distribuição de Qui-Quadrado , Criança , Características Culturais , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/diagnóstico , Características da Família/etnologia , Feminino , Conhecimentos, Atitudes e Prática em Saúde/etnologia , Inquéritos Epidemiológicos , Humanos , Modelos Lineares , Masculino , Obesidade Infantil/sangue , Obesidade Infantil/diagnóstico , Prognóstico , Medição de Risco , Fatores de Risco , Inquéritos e Questionários , Estados Unidos/epidemiologia
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