Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
PLoS One ; 16(10): e0246725, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34699530

RESUMEN

BACKGROUND: Stunting, an indicator of restricted linear growth, has become a primary measure of childhood undernutrition due to its persistent high prevalence globally, and importance for health and development. Although the etiology is recognized as complex, most analyses have focused on social and biomedical determinants, with limited attention on psychological factors affecting care and nurturing in the home. We assessed whether the psychological distress of parents is related to child linear growth and stunting, and documented the associated risk factors, and examined the relationship between parental distress and behavioral and other risk factors for stunting. METHODS: We used data from the Indonesia National Health Survey 2013, including 46,315 children 6-59 months of age. Multivariate linear, logistic, and multilevel multinomial logistic regression, using survey weights, were used to assess the relationship between parental distress, as assessed by the WHO Self Reporting Questionnaire (SRQ20), with height-for-age z score (HAZ), stunting, and behavioral and other risk factors for stunting. RESULTS: Maternal, paternal and parental distress (i.e. both maternal and paternal distress) were associated with reduced linear growth of the children by 0.086 (95% CI -0.17, -0.00), 0.11 (95% CI -0.24, -0.02) and 0.19 (95% CI -0.37, -0.00) HAZ-scores, respectively. Maternal and paternal distress increased the risk of mild stunting (HAZ <-1) by 33% (95% CI 1.17,1.50) and 37% (95% CI 1.18,1.60), and the risk of moderate stunting (HAZ <-2) by 25% (95% CI 1.10,1.43) and 28% (95% CI 1.08,1.51]), respectively. Parental stress increased the risk of moderate stunting by 40% (95% CI 1.06,1.85). Amongst specific groups of risk factors, the proportion of HAZ-score lost was associated with socioeconomic factors (30.3%) including, low wealth, low maternal occupational status, low maternal education, rural residence, and low paternal occupational status; physiological factors (15.5%) including low maternal height, low maternal mid-upper arm circumference, being male, low paternal height; behavioral factors (8.9%) including open garbage disposal, paternal smoking, not using iodized salt; and experiencing at least one infectious diseases episode (1.1%). CONCLUSIONS: Maternal, paternal and parental stress were associated with reduced linear growth of children. These findings highlight the complex etiology of stunting and suggest nutritional and other biomedical interventions are insufficient, and that promotion of mental and behavioral health programs for parents must be pursued as part of a comprehensive strategy to enhance child growth and development, i.e. improved caretaker capacity, integrated community development, improved parenting skills, as well as reduced gender discrimination, and domestic violence.


Asunto(s)
Estatura/fisiología , Padres/psicología , Preescolar , Estudios Transversales , Escolaridad , Femenino , Trastornos del Crecimiento/psicología , Encuestas Epidemiológicas , Humanos , Indonesia , Lactante , Masculino , Estado Nutricional/fisiología , Prevalencia , Distrés Psicológico , Factores de Riesgo , Población Rural , Factores Socioeconómicos
2.
Food Nutr Bull ; 42(1_suppl): S72-S91, 2021 06.
Artículo en Inglés | MEDLINE | ID: mdl-34282658

RESUMEN

BACKGROUND: Adolescent overweight and obesity (AOO) is a global public health problem and risk for noncommunicable diseases. Understanding context-specific risks is crucial for interventions. OBJECTIVE: Determine the prevalence of AOO in the Indonesian National Health Survey (INHS) 2013, assess the 5-year trend from 2013 to 2018, and identify risks. METHODS: We selected adolescents aged 10 to 19 years (n = 174 290) from the INHS 2013 and used hierarchical logistic regression to identify gender-specific risks for those aged 15 to 19 years (n = 77 534). Change in AOO was assessed by comparison to INHS 2018 reports. RESULTS: The national AOO prevalence increased over 5 years by 48% in young adolescents (13-15 years) and 85% in older ones (16-18 years). High prevalence areas included the urban location of Jakarta (20.9%) and the remote rural region of Papua (19.4%). Overall, AOO risks were being sedentary, male, lower education, married, younger adolescent, and school enrollment, with urban residence and higher wealth being persistent risks for all analyses. Data for depressive symptoms were available for older adolescents whose additional risks were being sedentary, depressive symptoms, and high-fat diet. Male risks were being sedentary and lower education, and female risks were being married, depressive symptoms, high-fat intake, and lower education. Higher intake of fruits and vegetables and fewer sweets did not protect against AOO if a high-fat diet was consumed. CONCLUSIONS: Adolescent overweight and obesity in Indonesia is rapidly increasing, especially in older adolescents and males, and with gender-specific risks. Customized multisectoral interventions to identify strategies for lifestyle change are urgently needed.


Asunto(s)
Obesidad Infantil , Adolescente , Anciano , Índice de Masa Corporal , Conducta Alimentaria , Humanos , Estilo de Vida , Sobrepeso/epidemiología , Prevalencia , Verduras
3.
Midwifery ; 69: 163-171, 2019 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-30522038

RESUMEN

OBJECTIVES: Suboptimal breastfeeding contributes to morbidity and mortality in children. Studies in high-income countries (HICs) show that exclusive-breastfeeding (EBF) is associated with longer breastfeeding duration. The aim of this study was to determine whether maternal reports of EBF at six months are associated with longer duration of breastfeeding during the first two years of life in a low and middle-income country (LMIC) setting, and to identify determinants of breastfeeding duration. METHODS: This prospective cohort includes data from an EBF promotion program in Demak District, Central Java Province, Indonesia, with a non-randomized pretest-posttest control group. Mothers and infants were followed through 26 months postnatal age. Data were analyzed using Cox proportional hazard regression with time to cessation of EBF as the outcome. RESULTS: A total of 147 families were included in the study. Longer EBF duration was not associated with prolonged duration of breastfeeding. Longer breastfeeding duration was associated with mothers who disagreed with a statement of being ashamed to breastfeed (HR 0.035, 95%CI 0.003,0.44). Risk factors for shorter breastfeeding duration included mothers' plan to breastfeed for less than 24 months (HR 4.28 95%CI 1.91,9.60), mothers' belief that breastfeeding less than 24 months was the norm (HR 2.98 95%CI 1.31,6.77) and exposure to EBF promotion (HR:4.09 95%CI 2.14,7.82). CONCLUSIONS: In a LMIC community where long breastfeeding duration is common, EBF is not associated with breastfeeding duration. However, modifiable behavioral factors were significant predictors of breastfeeding duration. We therefore recommend that prolonged breastfeeding duration can be achieved through programs that improve breastfeeding behavior.


Asunto(s)
Actitud Frente a la Salud , Lactancia Materna/estadística & datos numéricos , Factores de Tiempo , Lactancia Materna/métodos , Estudios de Cohortes , Femenino , Humanos , Renta/estadística & datos numéricos , Indonesia , Madres/psicología , Madres/estadística & datos numéricos , Embarazo , Estudios Prospectivos
4.
Lancet ; 393(10166): 75-102, 2019 01 05.
Artículo en Inglés | MEDLINE | ID: mdl-30579611

RESUMEN

Indonesia is a rapidly growing middle-income country with 262 million inhabitants from more than 300 ethnic and 730 language groups spread over 17 744 islands, and presents unique challenges for health systems and universal health coverage (UHC). From 1960 to 2001, the centralised health system of Indonesia made gains as medical care infrastructure grew from virtually no primary health centres to 20 900 centres. Life expectancy improved from 48 to 69 years, infant mortality decreased from 76 deaths per 1000 livebirths to 23 per 1000, and the total fertility rate decreased from 5·61 to 2·11. However, gains across the country were starkly uneven with major health gaps, such as the stagnant maternal mortality of around 300 deaths per 100 000 livebirths, and minimal change in neonatal mortality. The centralised one size fits all approach did not address the complexity and diversity in population density and dispersion across islands, diets, diseases, local living styles, health beliefs, human development, and community participation. Decentralisation of governance to 354 districts in 2001, and currently 514 districts, further increased health system heterogeneity and exacerbated equity gaps. The novel UHC system introduced in 2014 focused on accommodating diversity with flexible and adaptive implementation features and quick evidence-driven decisions based on changing needs. The UHC system grew rapidly and covers 203 million people, the largest single-payer scheme in the world, and has improved health equity and service access. With early success, challenges have emerged, such as the so-called missing-middle group, a term used to designate the smaller number of people who have enrolled in UHC in wealth quintiles Q2-Q3 than in other quintiles, and the low UHC coverage of children from birth to age 4 years. Moreover, high costs for non-communicable diseases warrant new features for prevention and promotion of healthy lifestyles, and investment in a robust integrated digital health-information system for front-line health workers is crucial for impact and sustainability. This Review describes the innovative UHC initiative of Indonesia along with the future roadmap required to meet sustainable development goals by 2030.


Asunto(s)
Reforma de la Atención de Salud/tendencias , Cobertura Universal del Seguro de Salud/tendencias , Atención a la Salud/tendencias , Desarrollo Económico/tendencias , Estado de Salud , Humanos , Indonesia , Esperanza de Vida/tendencias , Factores Socioeconómicos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA