Dataset Information

Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines?

ABSTRACT: BACKGROUND:U.S. Latinos engage in nonleisure-time walking (NLTW) more than other ethno-racial groups. Studies are needed to explore factors associated with NLTW to inform interventions for effective physical activity promotion. PURPOSE:To examine the social-ecological correlates of NLTW among Mexican-origin Latinos. METHODS:Individual, social, and environmental level factors and PA were assessed in a telephone survey completed by 672 Mexican-origin adults randomly sampled in San Diego County. Data were collected in 2006 and analyzed in 2009. RESULTS:Participants were mostly female (71%), with an average age of 39 years. Less than one-third met PA guidelines for NLTW (29%). Structural equation modeling showed that NLTW was positively associated with being female, but negatively associated with living in the U.S. ? 12 years, and being U.S.-born. CONCLUSIONS:In this sample NLTW differed by various indicators of acculturation and gender. These findings might help inform the development of interventions to promote NLTW and thus physical activity in Mexican-origin adults.

SUBMITTER: Martinez SM

PROVIDER: S-EPMC3898633 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines?

Martinez Suzanna M SM Arredondo Elva M EM Roesch Scott S Patrick Kevin K Ayala Guadalupe X GX Elder John P JP

Journal of physical activity & health 20110901 7

<h4>Background</h4>U.S. Latinos engage in nonleisure-time walking (NLTW) more than other ethno-racial groups. Studies are needed to explore factors associated with NLTW to inform interventions for effective physical activity promotion.<h4>Purpose</h4>To examine the social-ecological correlates of NLTW among Mexican-origin Latinos.<h4>Methods</h4>Individual, social, and environmental level factors and PA were assessed in a telephone survey completed by 672 Mexican-origin adults randomly sampled i ...[more]

PMID: 21885880

Similar Datasets

Project description:The Pacific coast tick, Dermacentor occidentalis Marx, is found throughout California and can harbor agents that cause human diseases such as anaplasmosis, ehrlichiosis, tularemia, Rocky Mountain spotted fever and rickettsiosis 364D. Previous studies have demonstrated that nonpathogenic endosymbiotic bacteria can interfere with Rickettsia co-infections in other tick species. We hypothesized that within D. occidentalis ticks, interference may exist between different nonpathogenic endosymbiotic or nonendosymbiotic bacteria and Spotted Fever group Rickettsia (SFGR). Using PCR amplification and sequencing of the rompA gene and intergenic region we identified a cohort of SFGR-infected and non-infected D. occidentalis ticks collected from San Diego County. We then amplified a partial segment of the 16S rRNA gene and used next-generation sequencing to elucidate the microbiomes and levels of co-infection in the ticks. The SFGR R. philipii str. 364D and R. rhipicephali were detected in 2.3% and 8.2% of the ticks, respectively, via rompA sequencing. Interestingly, next generation sequencing revealed an inverse relationship between the number of Francisella-like endosymbiont (FLE) 16S rRNA sequences and Rickettsia 16S rRNA sequences within individual ticks that is consistent with partial interference between FLE and SFGR infecting ticks. After excluding the Rickettsia and FLE endosymbionts from the analysis, there was a small but significant difference in microbial community diversity and a pattern of geographic isolation by distance between collection locales. In addition, male ticks had a greater diversity of bacteria than female ticks and ticks that weren't infected with SFGR had similar microbiomes to canine skin microbiomes. Although experimental studies are required for confirmation, our findings are consistent with the hypothesis that FLEs and, to a lesser extent, other bacteria, interfere with the ability of D. occidentalis to be infected with certain SFGR. The results also raise interesting possibilities about the effects of putative vertebrate hosts on the tick microbiome.

Project description:Large-scale wastewater surveillance has the ability to greatly augment the tracking of infection dynamics especially in communities where the prevalence rates far exceed the testing capacity. However, current methods for viral detection in wastewater are severely lacking in terms of scaling up for high throughput. In the present study, we employed an automated magnetic-bead-based concentration approach for viral detection in sewage that can effectively be scaled up for processing 24 samples in a single 40-min run. The method compared favorably to conventionally used methods for viral wastewater concentrations with higher recovery efficiencies from input sample volumes as low as 10 ml and can enable the processing of over 100 wastewater samples in a day. The sensitivity of the high-throughput protocol was shown to detect 1 asymptomatic individual in a building of 415 residents. Using the high-throughput pipeline, samples from the influent stream of the primary wastewater treatment plant of San Diego County (serving 2.3 million residents) were processed for a period of 13 weeks. Wastewater estimates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral genome copies in raw untreated wastewater correlated strongly with clinically reported cases by the county, and when used alongside past reported case numbers and temporal information in an autoregressive integrated moving average (ARIMA) model enabled prediction of new reported cases up to 3 weeks in advance. Taken together, the results show that the high-throughput surveillance could greatly ameliorate comprehensive community prevalence assessments by providing robust, rapid estimates.IMPORTANCE Wastewater monitoring has a lot of potential for revealing coronavirus disease 2019 (COVID-19) outbreaks before they happen because the virus is found in the wastewater before people have clinical symptoms. However, application of wastewater-based surveillance has been limited by long processing times specifically at the concentration step. Here we introduce a much faster method of processing the samples and show its robustness by demonstrating direct comparisons with existing methods and showing that we can predict cases in San Diego by a week with excellent accuracy, and 3 weeks with fair accuracy, using city sewage. The automated viral concentration method will greatly alleviate the major bottleneck in wastewater processing by reducing the turnaround time during epidemics.

Dataset Information

Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines?

Publications

Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets