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OBJECTIVE: The present study examines characteristics of those who benefited from a dietary Fe intervention comprised of salt double-fortified with iodine and Fe (DFS). DESIGN: Data from a randomized controlled trial were analysed to identify predictors of improved Fe status and resolution of Fe deficiency (serum ferritin (sFt) < 12 µg/l) and low body Fe (body Fe (BI) < 0·0 mg/kg) using non-parametric estimations and binomial regression models. SETTING: A tea estate in West Bengal, India. PARTICIPANTS: Female tea pluckers, aged 18-55 years. RESULTS: Consuming DFS significantly (P = 0·01) predicted resolution of Fe deficiency (relative risk (RR) = 2·31) and of low BI (RR = 2·78) compared with consuming iodized salt. Baseline sFt (ß = -0·32 (se 0·03), P < 0·001) and treatment group (ß = 0·13 (se 0·03), P < 0·001) significantly predicted change in sFt. The interaction of baseline BI with treatment group (ß = -0·11 (se 0·06), P = 0·08) predicted the change in BI. DFS did not significantly predict change in Hb and marginally predicted resolution of anaemia (Hb < 120 g/l). CONCLUSIONS: Baseline Fe status, as assessed by sFt and BI, and consumption of DFS predict change in Fe status and resolution of Fe deficiency and low BI. Anaemia prevalence and Hb level, although simple and inexpensive to measure, may not be adequate to predict resolution of Fe deficiency in response to an intervention of DFS in similar populations with high prevalence of Fe deficiency and multiple nutritional causes of anaemia. These findings will guide appropriate targeting of future interventions.

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INTRODUCTION: Tobacco use in Samoa has been described over time by age, sex and education, but little work exists on other sociodemographic factors associated with tobacco use. We describe current smoking and daily tobacco use in adults from Samoa, with a focus on sex and age stratified analyses of the influence of occupation, education, census region, household asset ownership and alcohol use in order to help develop potential targeted interventions. METHODS: In 2010, a nationwide survey of 3745 adults aged 25-65 years from 33 villages was completed in Samoa. Current smoking status, daily tobacco use, as well as current alcohol use, and a variety of sociodemographic factors were assessed by interview. Bivariate and multivariable models, and sex and age group stratified analyses, were performed to determine different patterns of correlates. RESULTS: More than half of all men (51.3%) and 21.8% of women were current tobacco smokers. Men and women smoked on average 10.9 and 8.7 cigarettes/day, respectively. Twenty per cent of men consumed ≥20 cigarettes/day. In men, being married, a subsistence-farmer/laborer, an alcohol user, and having low household assets, were independently associated with being a tobacco smoker (all p<0.01). Among women, not completing secondary education, being 25-34 years, residing in urban Apia, and being an alcohol user, were independently associated with being a tobacco smoker (all p<0.01). CONCLUSIONS: Tobacco use in Samoa remains high and correlates of smoking suggest that interventions for cessation need to be developed within the contexts of sex, age, education, and household socioeconomic status.

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BACKGROUND: Fine-scale targeting of interventions is increasingly important where epidemiological disease profiles depict high geographical stratifications. This study verified correlations between household biomass and mosquito house-entry using experimental hut studies, and then demonstrated how geographical foci of mosquito biting risk can be readily identified based on spatial distributions of household occupancies in villages. METHODS: A controlled 4 × 4 Latin square experiment was conducted in rural Tanzania, in which no, one, three or six adult male volunteers slept under intact bed nets, in experimental huts. Mosquitoes entering the huts were caught using exit interception traps on eaves and windows. Separately, monthly mosquito collections were conducted in 96 randomly selected households in three villages using CDC light traps between March-2012 and November-2013. The number of people sleeping in the houses and other household and environmental characteristics were recorded. ArcGIS 10 (ESRI-USA) spatial analyst tool, Gi* Ord Statistic was used to analyse clustering of vector densities and household occupancy. RESULTS: The densities of all mosquito genera increased in huts with one, three or six volunteers, relative to huts with no volunteers, and direct linear correlations within tested ranges (P < 0.001). Significant geographical clustering of indoor densities of malaria vectors, Anopheles arabiensis and Anopheles funestus, but not Culex or Mansonia species occurred in locations where households with highest occupancy were also most clustered (Gi* P ≤ 0.05, and Gi* Z-score ≥ 1.96). CONCLUSIONS: This study demonstrates strong correlations between household occupancy and malaria vector densities in households, but also spatial correlations of these variables within and between villages in rural southeastern Tanzania. Fine-scale clustering of indoor densities of vectors within and between villages occurs in locations where houses with highest occupancy are also clustered. The study indicates potential for using household census data to preliminarily identify households with greatest Anopheles mosquito biting risk.

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