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The consequences of starting smoking by age 18 are significant. Early smoking initiation is associated with higher tobacco dependence, increased difficulty in smoking cessation and more negative health outcomes. The purpose of this study is to examine how closely smoking initiation in a well-defined population of American Indians (AI) resembles a group of Non-Hispanic white (NHW) populations born over an 80 year period. We obtained data on age of smoking initiation among 7,073 AIs who were members of 13 tribes in Arizona, Oklahoma and North and South Dakota from the 1988 Strong Heart Study (SHS) and the 2001 Strong Heart Family Study (SHFS) and 19,747 NHW participants in the 2003 National Health Interview Survey. The participants were born as early as 1904 and as late as 1985. We classified participants according to birth cohort by decade, sex, and for AIs, according to location. We estimated the cumulative incidence of smoking initiation by age 18 in each sex and birth cohort group in both AIs and NHWs and used Cox regression to estimate hazard ratios for the association of birth cohort, sex and region with the age at smoking initiation. We found that the cumulative incidence of smoking initiation by age 18 was higher in males than females in all SHS regions and in NHWs (p < 0.001). Our results show regional variation of age of initiation significant in the SHS (p < 0.001). Our data showed that not all AIs (in this sample) showed similar trends toward increased earlier smoking. For instance, Oklahoma SHS male participants born in the 1980s initiated smoking before age 18 less often than those born before 1920 by a ratio of 0.7. The results showed significant variation in age of initiation across sex, birth cohort, and location. Our preliminary analyses suggest that AI smoking trends are not uniform across region or gender but are likely shaped by local context. If tobacco prevention and control programs depend in part on addressing the origin of AI smoking it may be helpful to increase the awareness in regional differences.

American Indians have one of the lowest colorectal cancer (CRC) screening rates for any racial/ethnic group in the U.S., yet reasons for their low screening participation are poorly understood. We examine whether tribal language use is associated with knowledge and use of CRC screening in a community-based sample of American Indians. Using logistic regression to estimate the association between tribal language use and CRC test knowledge and receipt we found participants speaking primarily English were no more aware of CRC screening tests than those speaking primarily a tribal language (OR = 1.16 [0.29, 4.63]). Participants who spoke only a tribal language at home (OR = 1.09 [0.30, 4.00]) and those who spoke both a tribal language and English (OR = 1.74 [0.62, 4.88]) also showed comparable odds of receipt of CRC screening. Study findings failed to support the concept that use of a tribal language is a barrier to CRC screening among American Indians.

Purpose: With a sample of American Indian adults, we estimated the prevalence of adult caregiving, assessed the demographic and cultural profile of caregivers, and examined the association between cultural factors and being a caregiver. This is the first such study conducted with American Indians., Design and Methods: Data came from a cross-sectional study of 5,207 American Indian adults residing on 2 closely related Lakota Sioux reservations in the Northern Plains and one American Indian community in the Southwest. Cultural factors included measures of cultural identity and traditional healing practices., Results: Seventeen percent of our sample reported being caregivers. In both the Northern Plains and Southwest, caregiving was positively correlated with younger age, being a woman, larger household size, attending and participating in Native events, and endorsement of traditional healing practices. In both regions, attendance and participation in Native events and engagement in traditional healing practices were associated with increased odds of caregiving after adjusting for covariates. Only in the Northern Plains did we find that speaking some Native language at home was associated with increased odds of being a caregiver. Examination of interaction terms indicated some sex differences in the association between cultural factors and caregiving in the Northern Plains but not in the Southwest., Implications: Our findings indicate that greater cultural identity and engagement in traditional healing practices are related to caregiving in American Indian populations. Caregiving research, intervention efforts, and caregiving programs and services in Native communities should pay special attention to the dynamics of culture and caregiving.

Background: The health benefits of an active lifestyle are well established. However, Americans in general and American Indians specifically are not sufficiently active to achieve these health benefits., Purpose: This study presents the descriptive epidemiology of physical activity in a community-based sample of American-Indian adults., Methods: Data came from Education and Research Towards Health (EARTH), a cross-sectional study conducted between December 2003 and April 2006 of 5207 American-Indian adults in South Dakota and Arizona. Physical activity was assessed using a culturally tailored, computer-assisted instrument. Both type and intensity of activities were measured; minutes per week averaged over the past year was the primary outcome. Individuals were categorized as being sufficiently active, not sufficiently active, or inactive using a cut point of more or less than 150 minutes/week. Information on age, gender, and BMI was also collected., Results: More than one third of participants were not sufficiently active (<150 minutes/week) and 18% reported no leisure-time activity. Sufficient activity was less often reported by women than men (41% vs 56%) and by participants from the Southwest than those from the Northern Plains (44% vs 50%). Of all activity categories, the most time was spent on household activities among all participants. There were clear trends in physical (in)activity across BMI strata; time spent in sedentary activities increased while leisure-time activity decreased with BMI., Conclusions: American-Indian adults in this cohort exhibited levels of physical (in)activity similar to those of other racial/ethnic groups in the U.S., suggesting a need for specific interventions to increase activity levels across the population.

Objectives: To better understand patterns of initiation among American Indians we examined age-related patterns of smoking initiation during adolescence and young adulthood in 2 American Indian tribes., Methods: We used log-rank comparison and a Cox proportional hazard regression model to analyze data from a population-based study of Southwest and Northern Plains American Indians aged 18 to 95 years who initiated smoking by age 18 years or younger., Results: The cumulative incidence of smoking initiation was much higher among the Northern Plains Indians (47%) than among the Southwest Indians (28%; P < .01). In the Southwest, men were more likely than women to initiate smoking at a younger age (P < .01); there was no such difference in the Northern Plains sample. Northern Plains men and women in more recent birth cohorts initiated smoking at an earlier age than did those born in older birth cohorts. Southwest men and women differed in the pattern of smoking initiation across birth cohorts as evidenced by the significant test for interaction (P = .01)., Conclusion: Our findings underscore the need to implement tobacco prevention and control measures within American Indian communities.

Emergency medical services (EMS) system managers face difficult problems when determining the need for system expansion and unit deployment. Information relevant to the decision is often limited and frequently not in a usable format. This lack of usable information often results in decisions that create less-than-optimal EMS systems. A constant search for greater efficiency prompted the development of a computer simulation model to analyze the current EMS system operated by the Tucson Fire Department and to provide statistical information on the effects of potential vehicle base locations on system performance. The simulation model generates data that reflect a variety of parameters necessary in base location analysis. Included in the performance statistics for each unit and for the entire system are indicators of unit use rates, minimum and maximum response times, and proportion of calls reached within the critical response time of eight minutes or less. The model has been carefully validated and used in unit redeployment and unit activation in Tucson, Arizona.

This paper describes our experiences in developing a simulation model for evaluating a set of emergency response vehicle base locations. The project was undertaken jointly by the University of Arizona and the Tucson Fire Department. The issues of model development, data collection, model validation, and experimentation are discussed. The critical nature of the problem and the clients' lack of experience with mathematical models, made model validation the major step in gaining user acceptance. We show that looking solely at standard performance statistics such as the calls successfully serviced, may lead to the acceptance of an invalid model. We also show that the high level of detail used in many simulation models for evaluating base locations is unnecessary in the current case. An analysis evaluating two alternative sets of locations for the Tucson system is discussed.