The health of Navajo women: findings from the Navajo Health and Nutrition Survey, 1991-1992

Psychosocial interventions for supporting women to stop smoking in pregnancy

BACKGROUND

Tobacco smoking remains one of the few preventable factors associated with complications in pregnancy, and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and is increasing in low- to middle-income countries.

OBJECTIVES

To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes.

SEARCH METHODS

In this sixth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (13 November 2015), checked reference lists of retrieved studies and contacted trial authors.

SELECTION CRITERIA

Randomised controlled trials, cluster-randomised trials, and quasi-randomised controlled trials of psychosocial smoking cessation interventions during pregnancy.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, with meta-regression conducted in STATA 14.

MAIN RESULTS

The overall quality of evidence was moderate to high, with reductions in confidence due to imprecision and heterogeneity for some outcomes. One hundred and two trials with 120 intervention arms (studies) were included, with 88 trials (involving over 28,000 women) providing data on smoking abstinence in late pregnancy. Interventions were categorised as counselling, health education, feedback, incentives, social support, exercise and dissemination.In separate comparisons, there is high-quality evidence that counselling increased smoking cessation in late pregnancy compared with usual care (30 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.73) and less intensive interventions (18 studies; average RR 1.25, 95% CI 1.07 to 1.47). There was uncertainty whether counselling increased the chance of smoking cessation when provided as one component of a broader maternal health intervention or comparing one type of counselling with another. In studies comparing counselling and usual care (largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy. However, a clear effect was seen in smoking abstinence at zero to five months postpartum (11 studies; average RR 1.59, 95% CI 1.26 to 2.01) and 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), with a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77). In other comparisons, the effect was unclear for most secondary outcomes, but sample sizes were small.Evidence suggests a borderline effect of health education compared with usual care (five studies; average RR 1.59, 95% CI 0.99 to 2.55), but the quality was downgraded to moderate as the effect was unclear when compared with less intensive interventions (four studies; average RR 1.20, 95% CI 0.85 to 1.70), alternative interventions (one study; RR 1.88, 95% CI 0.19 to 18.60), or when smoking cessation health education was provided as one component of a broader maternal health intervention.There was evidence feedback increased smoking cessation when compared with usual care and provided in conjunction with other strategies, such as counselling (average RR 4.39, 95% CI 1.89 to 10.21), but the confidence in the quality of evidence was downgraded to moderate as this was based on only two studies and the effect was uncertain when feedback was compared to less intensive interventions (three studies; average RR 1.29, 95% CI 0.75 to 2.20).High-quality evidence suggests incentive-based interventions are effective when compared with an alternative (non-contingent incentive) intervention (four studies; RR 2.36, 95% CI 1.36 to 4.09). However pooled effects were not calculable for comparisons with usual care or less intensive interventions (substantial heterogeneity, I2 = 93%).High-quality evidence suggests the effect is unclear in social support interventions provided by peers (six studies; average RR 1.42, 95% CI 0.98 to 2.07), in a single trial of support provided by partners, or when social support for smoking cessation was provided as part of a broader intervention to improve maternal health.The effect was unclear in single interventions of exercise compared to usual care (RR 1.20, 95% CI 0.72 to 2.01) and dissemination of counselling (RR 1.63, 95% CI 0.62 to 4.32).Importantly, high-quality evidence from pooled results demonstrated that women who received psychosocial interventions had a 17% reduction in infants born with low birthweight, a significantly higher mean birthweight (mean difference (MD) 55.60 g, 95% CI 29.82 to 81.38 g higher) and a 22% reduction in neonatal intensive care admissions. However the difference in preterm births and stillbirths was unclear. There did not appear to be adverse psychological effects from the interventions.The intensity of support women received in both the intervention and comparison groups has increased over time, with higher-intensity interventions more likely to have higher-intensity comparisons, potentially explaining why no clear differences were seen with increasing intervention intensity in meta-regression analyses. Among meta-regression analyses: studies classified as having 'unclear' implementation and unequal baseline characteristics were less effective than other studies. There was no clear difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however there was uncertainty in the effectiveness of counselling in four dissemination trials where the focus on the intervention was at an organisational level. The pooled effects were similar in interventions provided for women classified as having predominantly low socio-economic status, compared to other women. The effect was significant in interventions among women from ethnic minority groups; however not among indigenous women. There were similar effect sizes in trials with biochemically validated smoking abstinence and those with self-reported abstinence. It was unclear whether incorporating use of self-help manuals or telephone support increased the effectiveness of interventions.

AUTHORS' CONCLUSIONS

Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy and the proportion of infants born low birthweight. Counselling, feedback and incentives appear to be effective, however the characteristics and context of the interventions should be carefully considered. The effect of health education and social support is less clear. New trials have been published during the preparation of this review and will be included in the next update.

Strengthening breast and cervical cancer control through partnerships: American Indian and Alaska Native Women and the National Breast and Cervical Cancer Early Detection Program

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) has played a critical role in providing cancer screening services to American Indian and Alaska Native (AI/ANs) women and strengthening tribal screening capacity. Since 1991, the NBCCEDP has funded states, tribal nations, and tribal organizations to develop and implement organized screening programs. The ultimate goal is to deliver breast and cervical cancer screening to women who do not have health insurance and cannot afford to pay for these services. The delivery of clinical services is supported through complementary program efforts such as professional development, public education and outreach, and patient navigation. This article seeks to describe the growth of NBCCEDP's tribal commitment and the unique history and aspects of serving the AI/AN population. The article describes: 1) how this program has demonstrated success in improving screening of AI/AN women; 2) innovative partnerships with the Indian Health Service, state programs, and other organizations that have improved tribal public health infrastructure; and 3) the evolution of Centers for Disease Control and Prevention work with tribal communities.

Psychosocial interventions for supporting women to stop smoking in pregnancy

BACKGROUND

Tobacco smoking in pregnancy remains one of the few preventable factors associated with complications in pregnancy, stillbirth, low birthweight and preterm birth and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and increasing in low- to middle-income countries.

OBJECTIVES

To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes.

SEARCH METHODS

In this fifth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (1 March 2013), checked reference lists of retrieved studies and contacted trial authors to locate additional unpublished data.

SELECTION CRITERIA

Randomised controlled trials, cluster-randomised trials, randomised cross-over trials, and quasi-randomised controlled trials (with allocation by maternal birth date or hospital record number) of psychosocial smoking cessation interventions during pregnancy.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, and subgroup analyses and sensitivity analysis were conducted in SPSS.

MAIN RESULTS

Eighty-six trials were included in this updated review, with 77 trials (involving over 29,000 women) providing data on smoking abstinence in late pregnancy.In separate comparisons, counselling interventions demonstrated a significant effect compared with usual care (27 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.75), and a borderline effect compared with less intensive interventions (16 studies; average RR 1.35, 95% CI 1.00 to 1.82). However, a significant effect was only seen in subsets where counselling was provided in conjunction with other strategies. It was unclear whether any type of counselling strategy is more effective than others (one study; RR 1.15, 95% CI 0.86 to 1.53). In studies comparing counselling and usual care (the largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy (eight studies; average RR 1.06, 95% CI 0.93 to 1.21). However, a clear effect was seen in smoking abstinence at zero to five months postpartum (10 studies; average RR 1.76, 95% CI 1.05 to 2.95), a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77), and a significant effect at 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), but not in the longer term. In other comparisons, the effect was not significantly different from the null effect for most secondary outcomes, but sample sizes were small.Incentive-based interventions had the largest effect size compared with a less intensive intervention (one study; RR 3.64, 95% CI 1.84 to 7.23) and an alternative intervention (one study; RR 4.05, 95% CI 1.48 to 11.11).Feedback interventions demonstrated a significant effect only when compared with usual care and provided in conjunction with other strategies, such as counselling (two studies; average RR 4.39, 95% CI 1.89 to 10.21), but the effect was unclear when compared with a less intensive intervention (two studies; average RR 1.19, 95% CI 0.45 to 3.12).The effect of health education was unclear when compared with usual care (three studies; average RR 1.51, 95% CI 0.64 to 3.59) or less intensive interventions (two studies; average RR 1.50, 95% CI 0.97 to 2.31).Social support interventions appeared effective when provided by peers (five studies; average RR 1.49, 95% CI 1.01 to 2.19), but the effect was unclear in a single trial of support provided by partners.The effects were mixed where the smoking interventions were provided as part of broader interventions to improve maternal health, rather than targeted smoking cessation interventions.Subgroup analyses on primary outcome for all studies showed the intensity of interventions and comparisons has increased over time, with higher intensity interventions more likely to have higher intensity comparisons. While there was no significant difference, trials where the comparison group received usual care had the largest pooled effect size (37 studies; average RR 1.34, 95% CI 1.25 to 1.44), with lower effect sizes when the comparison group received less intensive interventions (30 studies; average RR 1.20, 95% CI 1.08 to 1.31), or alternative interventions (two studies; average RR 1.26, 95% CI 0.98 to 1.53). More recent studies included in this update had a lower effect size (20 studies; average RR 1.26, 95% CI 1.00 to 1.59), I(2)= 3%, compared to those in the previous version of the review (50 studies; average RR 1.50, 95% CI 1.30 to 1.73). There were similar effect sizes in trials with biochemically validated smoking abstinence (49 studies; average RR 1.43, 95% CI 1.22 to 1.67) and those with self-reported abstinence (20 studies; average RR 1.48, 95% CI 1.17 to 1.87). There was no significant difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however the effect was unclear in three dissemination trials of counselling interventions where the focus on the intervention was at an organisational level (average RR 0.96, 95% CI 0.37 to 2.50). The pooled effects were similar in interventions provided for women with predominantly low socio-economic status (44 studies; average RR 1.41, 95% CI 1.19 to 1.66), compared to other women (26 studies; average RR 1.47, 95% CI 1.21 to 1.79); though the effect was unclear in interventions among women from ethnic minority groups (five studies; average RR 1.08, 95% CI 0.83 to 1.40) and aboriginal women (two studies; average RR 0.40, 95% CI 0.06 to 2.67). Importantly, pooled results demonstrated that women who received psychosocial interventions had an 18% reduction in preterm births (14 studies; average RR 0.82, 95% CI 0.70 to 0.96), and infants born with low birthweight (14 studies; average RR 0.82, 95% CI 0.71 to 0.94). There did not appear to be any adverse effects from the psychosocial interventions, and three studies measured an improvement in women's psychological wellbeing.

AUTHORS' CONCLUSIONS

Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy, and reduce low birthweight and preterm births.

Associations among body mass index, waist circumference, and health indicators in American Indian and Alaska Native adults

PURPOSE

Little is known about obesity-related health issues among American Indian and Alaska Native (AIAN) populations.

APPROACH

A large cohort of AIAN people was assembled to evaluate factors associated with health.

SETTING

The study was conducted in Alaska and on the Navajo Nation.

PARTICIPANTS

A total of 11,293 AIAN people were included.

METHODS

We present data for body mass index (BMI, kg/m2) and waist circumference (cm) to evaluate obesity-related health factors.

RESULTS

Overall, 32.4% of the population were overweight (BMI 25-29.9 kg/m2), 47.1% were obese (BMI > or = 30 kg/m2), and 21.4% were very obese (BMI, > or = 35 kg/m2). A waist circumference greater than 102 cm for men and greater than 88 cm for women was observed for 41.7% of men and 78.3% of women. Obese people were more likely to perceive their health as fair/poor than nonobese participants (prevalence ratio [PR], 1.91; 95% CI, 1.71-2.14). Participants younger than 30 years were three times more likely to perceive their health as being fair or poor when their BMI results were 35 or greater compared with those whose BMI results were less than 25 kg/m2. A larger BMI was associated with having multiple medical conditions, fewer hours of vigorous activity, and more hours of television watching.

CONCLUSIONS

Given the high rates of obesity in AIAN populations and the association of obesity with other health conditions, it is important to reduce obesity among AIAN people.

Non-cigarette tobacco use among women and adverse pregnancy outcomes

Although cigarette smoking remains the most prevalent form of tobacco use in girls and in women of reproductive age globally, use of non-cigarette forms of tobacco is prevalent or gaining in popularity in many parts of the world, especially in low- and middle-income countries. Sparse but growing evidence suggests that the use of some non-cigarette tobacco products during pregnancy increases the risk of adverse pregnancy outcomes. In this paper we review the literature on the prevalence of non-cigarette tobacco product use in pregnant women and in women of reproductive age in high-, middle-, and low-income countries and the evidence that maternal use of these products during pregnancy has adverse health effects. In addition, we communicate findings from an international group of perinatal and tobacco experts that was convened to establish research priorities concerning the use of non-cigarette tobacco products during pregnancy. The working group concluded that attempts to develop a public health response to non-cigarette tobacco use in women are hindered by a lack of data on the epidemiology of use in many parts of the world and by our limited understanding of the type and magnitude of the health effects of these products. We highlight research gaps and provide recommendations for a global research agenda.

Prevalence and predictors of cancer screening among American Indian and Alaska native people: the EARTH study

PURPOSE

The purpose of this study was to examine the prevalence rates for cervical, breast, and colorectal cancer screening among American Indian and Alaska Native people living in Alaska and in the Southwest US, and to investigate predictive factors associated with receiving each of the cancer screening tests.

METHODS

We used the Education and Research Towards Health (EARTH) Study to measure self-reported cancer screening prevalence rates among 11,358 study participants enrolled in 2004-2007. We used prevalence odds ratios to examine demographic, lifestyle and medical factors associated with receiving age- and sex-appropriate cancer screening tests.

RESULTS

The prevalence rates of all the screening tests were higher in Alaska than in the Southwest. Pap test in the past 3 years was reported by 75.1% of women in Alaska and 64.6% of women in the Southwest. Mammography in the past 2 years was reported by 64.6% of women aged 40 years and older in Alaska and 44.0% of those in the Southwest. Colonoscopy or sigmoidoscopy in the past 5 years was reported by 41.1% of study participants aged 50 years and older in Alaska and by 11.7% of those in the Southwest US. Multivariate analysis found that location (Alaska versus the Southwest), higher educational status, income and the presence of one or more chronic medical condition predicted each of the three screening tests. Additional predictors of Pap test were age (women aged 25-39 years more likely to be screened than older or younger women), marital status (ever married more likely to be screened), and language spoken at home (speakers of American Indian Alaska Native language only less likely to be screened). Additional predictors of mammography were age (women aged 50 years and older were more likely to be screened than those aged 40-49 years), positive family history of breast cancer, use of smokeless tobacco (never users more likely to be screened), and urban/rural residency (urban residents more likely to be screened). Additional predictors of colonoscopy/sigmoidoscopy were age (men and women aged 60 years and older slightly more likely to be screened than those aged 50-59 years), family history of any cancer, family history of colorectal cancer, former smoking, language spoken at home (speakers of American Indian Alaska Native language less likely to be screened), and urban/rural residence (urban residents more likely to be screened).

CONCLUSION

Programs to improve screening among American Indian and Alaska Native people should include efforts to reach individuals of lower socioeconomic status and who do not have regular contact with the medical care system. Special attention should be made to identify and provide needed services to those who live in rural areas, and to those living in the Southwest US.

Health behaviors among American Indian/Alaska Native women, 1998-2000 BRFSS

BACKGROUND AND OBJECTIVE

Minority populations, including American Indians and Alaska Natives (AI/AN), in the United States generally experience a disproportionate share of adverse health outcomes compared with whites. The prevalence of risk behaviors associated with these adverse health outcomes among AI/AN women is not well documented, especially for those who live outside areas serviced by Indian Health Service. We sought to describe the prevalence of selected health risk behaviors among AI/AN women, document the disparities between AI/AN women and all U.S. women, and demonstrate the efforts needed for AI/AN women to reach Healthy People 2010 goals.

METHODS

Age-adjusted prevalence estimates for selected sociodemographic characteristics, current smoking, obesity, lack of leisure time physical activity, and binge drinking were calculated using Behavioral Risk Factor Surveillance System (BRFSS) data from 1998 to 2000, combined. Comparisons were made between prevalence estimates for AI/AN women and all women who participated in the BRFSS and Healthy People 2010 goals.

RESULTS

The prevalences of current smoking (27.8%) and obesity (26.8%) were significantly higher among AI/AN women than among all U.S. women. AI/AN women did not meet Healthy People 2010 goals for current smoking, obesity, leisure time physical activity, or binge drinking.

CONCLUSIONS

These data highlight both disparities in health risk behaviors between AI/AN women and all U.S. women and improvements needed for AI/AN women to meet Healthy People 2010 goals. This project demonstrates the overwhelming need for culturally appropriate and accessible prevention programs to address health risk behaviors associated with the leading causes of death among urbanized AI/AN women.

Screening mammography practice essentials

A successful screening mammography practice has three directives. The first directive is quality mammography interpretation, which results in detection of a high percentage of early stage breast cancers, an acceptable recall rate, and an acceptable biopsy rate and yield. The second directive is providing a cost-efficient service. The third directive is access for as many eligible women as possible. Strategies that have helped improve screening mammography access for underserved women are discussed in this article.

Patterns in cancer incidence among American Indians/Alaska Natives, United States, 1992-1999

OBJECTIVE

Cancer is a major public health concern in American Indian and Alaska Native (AI/AN) communities. However, information on the incidence of cancer is lacking for this group. The purpose of this study is to report cancer incidence patterns for the U.S. AI/AN population.

METHODS

Age-adjusted annual cancer incidence rates for 1992 through 1999 were calculated for 12 Surveillance, Epidemiology and End Results (SEER) areas, representing a sample (42%) of the U.S. AI/AN population. Trends in cancer incidence rates for the AI/AN sample were determined using standard linear regression of log-transformed rates and were compared to those of the U.S. white population.

RESULTS

The top five incident cancers (from highest to lowest) among AI/AN males were prostate, lung and bronchus, colon and rectum, kidney and renal pelvis, and stomach cancers. Among AI/AN women, cancers of the breast, colon and rectum, lung and bronchus, endometrium, and ovary ranked highest. Four sites where cancer incidence rates are greater for AI/ANs than for whites include gallbladder (the AI/AN rate was 4.1 times the rate for white males and 2.6 times the rate for white females), liver and intrahepatic bile duct cancers (1.3 times for males and 2.3 times for females), stomach (1.2 times for males and 1.5 times for females), and kidney and renal pelvis (1.03 times for males and 1.07 times for females). The data show increasing trends for AI/AN males and females and declining trends for white males and females for colorectal, stomach, and pancreatic cancers and leukemia. Similar differences between AI/AN rates and white rates were found for urinary bladder cancers in males and gallbladder cancer in females.

CONCLUSIONS

Analysis of SEER data allowed for the determination of disparities in cancer incidence between a sample of the U.S. AI/AN population and the white population. The findings of this study provide baseline information necessary for developing cancer prevention and intervention strategies specific to the AI/AN population to address these cancer disparities.

Disparities in screening mammography. Current status, interventions and implications

OBJECTIVE

This paper describes trends in screening mammography utilization over the past decade and assesses the remaining disparities in mammography use among medically underserved women. We also describe the barriers to mammography and report effective interventions to enhance utilization.

DESIGN

We reviewed medline and other databases as well as relevant bibliographies.

MAIN RESULTS

The United States has dramatically improved its use of screening mammography over the past decade, with increased rates observed in every demographic group. Disparities in screening mammography are decreasing among medically underserved populations but still persist among racial/ethnic minorities and low-income women. Additionally, uninsured women and those with no usual care have the lowest rates of reported mammogram use. However, despite apparent increases in mammogram utilization, there is growing evidence that limitations in the national survey databases lead to overestimations of mammogram use, particularly among low-income racial and ethnic minorities.

CONCLUSIONS

The United States may be farther from its national goals of screening mammography, particularly among underserved women, than current data suggests. We should continue to support those interventions that increase mammography use among the medically underserved by addressing the barriers such as cost, language and acculturation limitations, deficits in knowledge and cultural beliefs, literacy and health system barriers such as insurance and having a source regular of medical care. Addressing disparities in the diagnostic and cancer treatment process should also be a priority in order to affect significant change in health outcomes among the underserved.

Weight-loss practices, nutrition beliefs, and weight-loss program preferences of urban American Indian women

OBJECTIVE

To describe health beliefs, weight concern, dieting practices, and weight-loss program preferences of American Indian women residing in an urban setting.

DESIGN

Face-to-face interviews using a semistructured questionnaire were conducted and height and weight were measured.

SUBJECTS/SETTING

Subjects were 203 American Indian adult women in an urban community setting.

STATISTICAL ANALYSIS

Frequency distributions and chi 2 analysis were performed using the Statistical Analysis System software.

RESULTS

About two-thirds of the subjects were overweight. Most women were concerned about obesity and reported attempting to manage their weight. Healthful weight-loss practices (e.g., eating more fruits and vegetables, increasing physical activity) were used most frequently. However, unhealthful practices, such as skipping meals/fasting, using laxatives/diuretics, and self-induced vomiting were also mentioned. Regular bingeing was reported by 10% of respondents.

APPLICATIONS

Weight-management intervention efforts should focus on helping clients modify their diet and physical activity patterns. Low-cost programs offered in convenient locations would attract more participants, as would the provision of child care. Education about the dangers and ineffectiveness of unhealthful weight-loss practices will be necessary, given the high rates of such behaviors in this population.

The accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease in the general population: a critical review

OBJECTIVE

To critically review the literature concerning the accuracy of self-reported health behaviors and risk factors relating to cancer and cardiovascular disease among the general population.

METHOD

A literature search was conducted on three major health research databases: MEDLINE, HealthPLAN, and PsychLit. The bibliographies of located articles were also checked for additional relevant references. Studies meeting the following five inclusion criteria were included in the review: They were investigating the accuracy of self-report among the general population, as opposed to among clinical populations. They employed an adequate and appropriate gold standard. At least 70% of respondents consented to validation, where validation imposed minimal demands on the respondent; and 60% consent to validation was considered acceptable where validation imposed a greater burden. They had a sample size capable of estimating sensitivity and specificity rates with 95% confidence intervals of width +/-10%. The time lag between collection of the self-report and validation data for physical measures did not exceed one month.

RESULTS

Twenty-four of 66 identified studies met all the inclusion criteria described above. In the vast majority, self-report data consistently underestimated the proportion of individuals considered "at-risk." Similarly, community prevalences of risk factors were considerably higher according to gold standard data sources than they were according to self-report data.

CONCLUSIONS

This review casts serious doubts on the wisdom of relying exclusively on self-reported health information. It suggests that caution should be exercised both when trying to identify at-risk individuals and when estimating the prevalence of risk factors among the general population. The review also suggests a number of ways in which the accuracy of individuals' self-reported health information can be maximized.