Preventing Chronic Disease最新文献

Purpose and objectives: Although progress has been made in scaling up the National Diabetes Prevention Program Lifestyle Change Program (National DPP LCP), innovative engagement strategies are needed.

Intervention approach: This implementation evaluation leveraged and combined technology, behavior change theory, and community-based participatory design approaches to develop, deploy, and evaluate a 6-month, bilingual, tailored text message-delivered program (bRIght communities) to increase 1) readiness to engage in key behaviors for diabetes prevention, 2) engagement in services that address health-related social needs to reduce barriers to participation, and 3) readiness to enroll in the National DPP LCP.

Evaluation methods: We implemented a statewide, multichannel recruitment strategy from May through October 2022 and recruited 432 community members (62.3% White, 26.0% Hispanic, 6.2% Black) who received up to 6 months of tailored text messages. Six months postenrollment, 273 participants completed an online follow-up survey. Among those who did not complete the survey, responses from the last texting session were used for pre/post comparisons.

Results: Matched pre/post analyses (using t tests and McNemar tests) indicated that bRIght communities had a significant impact on daily consumption of fruits and vegetables (d = 0.43); weekly physical activity minutes (d = 0.48); resilience (d = 0.26); food insecurity (P < .001); transportation concerns (P < .001); and perceptions of feeling unsafe exercising in one's neighborhood (P < .001). Nearly 68% of participants with or at risk for prediabetes were in the precontemplation stage for enrolling in the National DPP. Overall, 30.3% of participants in bRIght communities moved forward at least 1 stage of change.

Implications for public health: Interactive, theoretically driven tailored text messaging represents a promising approach to increasing awareness of prediabetes risk, readiness to enroll in the National DPP LCP, participant engagement, and health behavior change. Providing links to existing geographically matched community resources reduced health-related social needs that can present barriers to participating in the National DPP LCP. The results also provide insights to inform the design and development of other population-based tailored text-delivered interventions.

National prevalence of diabetes distress is unknown among US adults. This cross-sectional study examined the prevalence among US adults with diabetes using 2021 National Health Interview Survey data. Multivariable multinomial logistic regressions were used to estimate adjusted prevalence and prevalence ratios for diabetes distress. Adjusted prevalence of moderate and severe diabetes distress was 24.3% (95% CI, 22.5%-26.1%) and 6.6% (95% CI, 5.6%-7.8%), respectively. Prevalence was higher among people aged 18 to 64 years, women, and those with lower incomes. Findings highlight the importance of examining economic and social factors and integrating diabetes distress screening into diabetes management and services.

Introduction: The association between various disparity factors and cardiovascular disease (CVD) prevalence among older US adults with diabetes has not been comprehensively explored. We examined disparities in CVD prevalence among Medicare beneficiaries with diabetes.

Methods: Data were from the 2015-2019 Medicare Current Beneficiary Survey. Diabetes and CVD conditions - myocardial infarction (MI), stroke, and heart failure - were self-reported. We estimated the adjusted prevalence ratios (APRs) of CVD by race and ethnicity, education, income-to-poverty ratio (IPR), urbanicity, food insecurity, and social vulnerability using logistic regressions that controlled for these factors as well as age and sex.

Results: Annually, an estimated 9.2 million Medicare beneficiaries aged 65 years or older had diabetes. Among them, 16.7% had MI, 13.7% had stroke, and 12.5% had heart failure. Beneficiaries who were food insecure, socially vulnerable, with an IPR less than or equal to 135%, and residing in rural areas had a higher crude CVD prevalence. After controlling for other factors, low IPR and food insecurity were linked to a higher prevalence of CVD. Hispanic beneficiaries had lower stroke and heart failure prevalence than non-Hispanic (NH) White and NH Black beneficiaries. NH Black beneficiaries had lower MI prevalence but higher heart failure prevalence compared with NH White beneficiaries. Female respondents with an IPR less than or equal to 135% had higher MI and stroke prevalence; this was not seen in male respondents.

Conclusion: Low IPR and food insecurity were associated with higher MI, stroke, and heart failure prevalence among Medicare beneficiaries with diabetes. Our findings can inform targeted interventions to reduce CVD disparities in these populations.

Introduction: Compared with White Americans, American Indian adults have disproportionately high depression rates. Previous studies in non-American Indian populations report depression as common among people with uncontrolled hypertension, potentially interfering with blood pressure control. Few studies have examined the association of depressive symptoms with hypertension development among American Indians despite that population's high burden of depression and hypertension. We examined the association of depressive symptoms with incident hypertension in a large cohort of American Indians.

Methods: We studied 1,408 American Indian participants in the Strong Heart Family Study, a longitudinal, ongoing, epidemiologic study assessing cardiovascular disease and its risk factors among American Indian populations. Depressive symptoms were assessed by using the Center for Epidemiological Studies-Depression (CES-D) scale, 2001-2003. At each study examination in 2001-2003 and 2007-2009, blood pressure was measured 3 times. The average of the last 2 measurements taken at baseline and follow-up examinations was used for analyses. Incident hypertension was defined as systolic blood pressure ≥140 mm Hg, diastolic blood pressure of ≥90 mm Hg, or use of hypertension medications at follow-up. To account for within-family correlation, we used generalized estimating equations to examine the association of depressive symptoms with incident hypertension.

Results: During follow-up, 257 participants developed hypertension. Participants with symptoms consistent with depression (CES-D ≥16) at baseline had 54% higher odds of developing hypertension during follow-up (OR = 1.54; 95% CI, 1.06-2.23) compared with those without depression (CES-D <16) at baseline after adjustment for other risk factors.

Conclusion: These data suggest that participants who experienced symptoms consistent with depression were at increased odds of incident hypertension.

Introduction: We assessed state-level disparities in diabetes prevalence among adults in rural and urban areas in the United States.

Methods: We estimated state-specific diabetes prevalence in rural and urban areas in 41 states with applicable data from the 2021 Behavioral Risk Factor Surveillance System. Rural areas were defined based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme. We estimated diabetes odds ratios (ORs) in rural versus urban areas in each state by using logistic regressions adjusted for sociodemographic characteristics and obesity status. Analyses were conducted in 2023.

Results: In rural areas, diabetes prevalence was 14.3%, ranging from 8.4% in Colorado to 21.3% in North Carolina. In urban areas, the prevalence was 11.2%, ranging from 6.9% in Colorado to 15.5% in West Virginia. Unadjusted diabetes ORs in rural versus urban areas were significant (P < .05) and greater than 1 for 19 states. After adjusting for age, sex, race, and ethnicity, the ORs were significant and greater than 1 for 7 states (Florida, Illinois, Kentucky, Maryland, North Carolina, Oregon, and Virginia). With additional adjustment for education, income, and obesity status, diabetes ORs in rural versus urban areas remained significant and greater than 1 for 2 states (North Carolina and Oregon).

Conclusion: Our findings reveal significant geographic disparities in diabetes prevalence between rural and urban areas in 19 states. The differences in most states may have been explained by rural-urban differences in sociodemographic characteristics and obesity rates. Our findings could inform decision makers to identify effective ways to reduce rural-urban disparities within states.

Introduction: Men in racial and ethnic minority groups are less likely than non-Hispanic White men to participate in programs designed to improve health, despite having a higher prevalence of type 2 diabetes. We sought to understand 1) the interests and preferences of racial and ethnic minority men, with or at risk for type 2 diabetes, in programs designed to improve health and 2) factors that influence participation and health practices.

Methods: We designed a 43-question web-based survey on facilitators and barriers to participation in a healthy living program. The survey was administered from August 27, 2019, through September 3, 2019. Our analytic sample consisted of 1,506 men at risk for or diagnosed with type 2 diabetes in racial and ethnic minority groups. We conducted descriptive and regression analyses of survey data.

Results: Most men (59%) were interested in participating in a healthy living program and/or program elements such as incentives (67%), male-specific health topics (57%), and the inclusion of family (63%). Flexibility was important, since "exercising when it is convenient for me" was the most frequently selected facilitator of physical activity and "the hours were inconvenient" was identified as a challenge in previous programs. Men in this survey were significantly more likely to be interested in participating in a health improvement program for several reasons, including if they were physically active 150 minutes or more per week (vs not) (adjusted odds ratio [AOR] = 2.2; 95% CI, 1.6-3.0) and had previously been in a healthy living program (vs not) (AOR = 1.5; 95% CI, 1.1-2.1).

Conclusion: Our findings can be useful for recruiting and retaining racial and ethnic minority men with or at risk for type 2 diabetes in programs designed to improve health and ultimately reduce disparities in the prevalence of diabetes.

Introduction: Food policy councils (FPCs) are frequently used to facilitate change in food systems at the local, state, and regional levels, or in tribal nations. The objective of this study was to describe the prevalence of food policy councils and similar coalitions among US municipalities and their associations with healthy food access policies.

Methods: We used data from the 2021 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living, administered to municipal officials from May through September 2021. We used logistic regression models to examine associations between 1) having an FPC and 2) FPC membership composition and healthy food access policies. We grouped policies into 4 categories based on topic modules in the survey instrument: supporting new or existing food stores to sell healthy foods, financial or electronic benefits transfer (EBT) supports, transportation-related supports for accessing locations to purchase food, and consideration of local food supports in community planning.

Results: Municipalities with FPCs (27.6%) had significantly higher odds than municipalities without FPCs of having policies supporting access to food retail stores (adjusted odds ratio [AOR] = 1.5; 95% CI, 1.2-1.9), access to farmers markets (AOR = 2.2; 95% CI, 1.7-2.7), access to transportation supports (AOR = 2.2; 95% CI, 1.8-2.8), and objectives in community planning documents (AOR = 2.0; 95% CI, 1.6-2.5). Among municipalities with FPCs, those with a health/public health representative (42.1%) or a community representative (65.1%) were more likely to report having any healthy food access policies.

Conclusion: This study emphasized the positive association between FPCs and healthy food access policies. This study also highlights the potential importance of FPC membership composition, including health/public health and community representatives.

Introduction: Physical inactivity is a major health risk factor for multiple chronic diseases and early death. Despite evidence supporting diet and physical activity behavioral counseling interventions, physical inactivity is rarely measured or managed in primary care. A need exists to fully explore and demonstrate the value of screening patients for physical inactivity. This study aimed to 1) compare health profiles of patients screened for inactivity versus patients not screened for inactivity, and 2) compare health profiles of inactive, insufficiently active, and active patients as measured by the Exercise Vital Sign screener.

Methods: The study sample comprised adult patients attending a well visit from November 1, 2017, through December 1, 2022, at a large midwestern university hospital. We extracted data from electronic medical records on exercise behavior reported by patients using the Exercise Vital Sign (EVS) questionnaire. We extracted data on demographics characteristics, resting pulse, encounters, and disease diagnoses from PCORnet Common Data Model (version 6.1). We used the Elixhauser Comorbidity Index to determine disease burden. We compared patients with complete and valid EVS values (n =7,261) with patients not screened for inactivity (n = 33,445). We conducted further comparisons between screened patients reporting 0 minutes (inactive), 1 to 149 minutes (insufficiently active), or ≥150 minutes (active) minutes per week of moderate-vigorous physical activity.

Results: Patients screened for inactivity had significantly lower rates of several comorbid conditions, including obesity (P < .001), diabetes (P < .001), and hypertension (P < .001) when compared with unscreened patients. Compared with insufficiently active and inactive patients, active patients had a lower risk of 19 inactivity-related comorbid conditions including obesity (P < .001), depression (P < .001), hypertension (P < .001), diabetes (P < .001), and valvular disease (P < .001).

Conclusion: These findings suggest inactive and insufficiently active patients are at increased risk for multiple inactivity-related chronic conditions. These findings further support existing recommendations that inactive patients receive or be referred to evidence-based lifestyle behavioral counseling programs.