Physician Characteristics Associated With Sugar-Sweetened Beverage Counseling Practices

VanFrank, Brenna; Park, Sohyun; Foltz, Jennifer L.; McGuire, Lisa C.; Harris, Diane M.

doi:10.1177/0890117116680472

Cited by 7 publications

(8 citation statements)

References 43 publications

(55 reference statements)

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“…The outcomes of interest were consumption of plain water (tap water, bottled water, and total plain water) and SSBs and survey questions were modified from previous studies. 20,27,31,32 Plain water intake was determined by the following 2 questions: (1) “On average, about how many cups of tap water do you drink each day? (8 oz.…”

Section: Methodsmentioning

confidence: 99%

Factors Related to Water Filter Use for Drinking Tap Water at Home and Its Association With Consuming Plain Water and Sugar-Sweetened Beverages Among U.S. Adults

et al. 2022

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Objective: To examine factors associated with water filter use (WFU) for drinking tap water at home and its association with consuming plain water and sugar-sweetened beverages (SSBs). Design: Quantitative, cross-sectional study. Setting: The 2018 SummerStyles survey data. Subjects: U.S. adults (≥18 years; N=4,042). Measures: Outcomes were intake of plain water (tap/bottled water) and SSBs. Exposure was WFU (yes, no, not drinking tap water at home). Covariates included sociodemographics, weight status, Census regions, and home ownership status. Analysis: We used multivariable logistic regressions to estimate adjusted odds ratios (AOR) and 95% confidence interval (CI) for consuming tap water, bottled water, or total plain water >3 cups/day (vs. ≤3 cups) and SSBs ≥1 time/day (vs. <1 time) by WFU. Results: Overall, 36% of adults reported using a filter for drinking tap water at home; 14% did not drink tap water at home. Hispanics had significantly higher odds of using a water filter (AOR=1.50, 95%CI=1.14–1.98) vs. non-Hispanic White. Factors significantly associated with lower odds of WFU were lower education (AOR=0.69, 95%CI=0.55–0.86 for ≤high school; AOR=0.78, 95%CI=0.64–0.95 for some college, vs. college graduate), not being married (AOR=0.81, 95%CI=0.66–0.98, vs. married/domestic partnership) and lower household income (AOR=0.68, 95%CI=0.68–0.90 for <$35,000, vs. ≥$100,000). Using a water filter was associated with higher odds of drinking >3 cups/day of tap water (AOR=1.33, 95%CI=1.13–1.56) and lower odds of SSBs ≥1 time/day (AOR=0.76, 95%CI=0.62–0.92). Not drinking tap water at home was associated with higher odds of drinking >3 cups/day bottled water (AOR=3.46, 95%CI=2.70–4.44). Conclusions: WFU was associated with higher tap water intake and lower SSB intake among U.S. adults. WFU was higher among Hispanics, but lower among those with lower education and income and not married adults. While WFU was associated with healthful beverage habits, additional considerations for WFU may include source water quality, oral health, cost, and proper use.

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Section: Methodsmentioning

confidence: 99%

Factors Related to Water Filter Use for Drinking Tap Water at Home and Its Association With Consuming Plain Water and Sugar-Sweetened Beverages Among U.S. Adults

et al. 2022

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“…Clinician characteristics included clinician age (<45 or ≥45 years), gender (male and female), and race/ethnicity (non-Hispanic white, non-Hispanic Asian, and other). Age categories were determined by prior studies (29, 30) and respondent distribution. Clinical practice characteristics were comprised of practice location Census region (Northeast, South, Midwest, West), medical specialty (family practice, internal medicine, pediatrics, nurse practitioner), primary work setting (inpatient, individual outpatient, or group outpatient), teaching hospital privileges (yes or no), and number of well-child visits per week (<5, 5–14, or ≥15 visits, reported as a continuous variable, and categories were determined by distribution of the data).…”

Section: Methodsmentioning

confidence: 99%

Referrals and Management Strategies for Pediatric Obesity—DocStyles Survey 2017

et al. 2018

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Background: Childhood obesity care management options can be delivered in community-, clinic-, and hospital-settings. The referral practices of clinicians to these various settings have not previously been characterized beyond the local level. This study describes the management strategies and referral practices of clinicians caring for pediatric patients with obesity and associated clinician characteristics in a geographically diverse sample.Methods: This cross-sectional study used data from the DocStyles 2017 panel-based survey of 891 clinicians who see pediatric patients. We used multivariable logistic regression to estimate associations between the demographic and practice characteristics of clinicians and types of referrals for the purposes of pediatric weight management.Results: About half of surveyed clinicians (54%) referred <25% of their pediatric patients with obesity for the purposes of weight management. Only 15% referred most (≥75%) of their pediatric patients with obesity for weight management. Referral types included clinical referrals, behavioral referrals, and weight management program (WMP) referrals. Within these categories, the percentage referrals ranged from 19% for behavioral/mental health professionals to 72% for registered dieticians. Among the significant associations, female clinicians had higher odds of referral to community and clinical WMP; practices in the Northeast had higher odds of referral to subspecialists, dieticians, mental health professionals, and clinical WMP; and clinics having ≥15 well child visits per week were associated with higher odds of referral to subspecialists, mental health professionals, and health educators. Not having an affiliation with teaching hospitals and serving low-income patients were associated with lower odds of referral to mental health professionals, and community and clinical WMP. Compared to pediatricians, family practitioners, internists, and nurse practitioners had higher odds of providing referrals to mental health professionals and to health educators.Conclusion: This study helps characterize the current landscape of referral practices and management strategies of clinicians who care for pediatric patients with obesity. Our data provide insight into the clinician, clinical practice, and reported patient characteristics associated with childhood obesity referral types. Understanding referral patterns and management strategies may help improve care for children with obesity and their families.

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“…3 A study conducted in 2016 found that 98.5% of physicians counsel patients on sugar-sweetened beverage consumption, primarily when the patients were already overweight or obese. 18 However, our results indicate such counseling may be needed regardless of BMI and may be indicated for reduction of cardiovascular risk independent of weight. 10 Our study supports that assessment of SSB intake and the mitigation of consumption along with promotion of healthy eating patterns is critical in the underserved rural population.…”

Section: Discussionmentioning

confidence: 75%

Sugar-Sweetened Beverage Intake in a Rural Family Medicine Clinic

2019

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Background: Sugar-sweetened beverages (SSBs) are a major source of calories, and are associated with adverse health outcomes. Because the majority of studies are undertaken in urban areas, the rural intake of SSB presents a significant gap in current knowledge. The objective of our study was to assess SSB intake in a rural primary care clinic. Methods: The Beverage Intake Questionnaire is a 15-item self-reported questionnaire and has been extensively validated to assess habitual SSB consumption. The survey was administered to adult primary care clinic patients presenting for routine care over a 6-week period at a clinic in a rural central Nebraska community (population < 1,000). Results: Survey participants (n ‫؍‬ 121) were primarily white with an average age of 61 years (SD ‫؍‬ 18.0) and an average body mass index (BMI) of 29.9 kg/m 2 (SD ‫؍‬ 7.5). Participants consumed an average of 1.05 SSBs per day (SD ‫؍‬ 1.3), and 33.5% of respondents consumed one or more SSBs per day. The average daily caloric intake from SSBs was 153 Kilocalories (Kcals) compared the national average intake of 145 Kcals. The most commonly consumed caloric beverages, based on Kilocalories consumed, were 100% juice and regular soda. SSB consumption was not related to with BMI. Discussion: In a rural primary care clinic, the daily consumption of SSB by patients was found to be a noteworthy source of calories, with no significant difference in consumption across BMI categories. Mitigation of SSB consumption by rural primary care clinicians is imperative for optimizing health.

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Physician Characteristics Associated With Sugar-Sweetened Beverage Counseling Practices

Cited by 7 publications

References 43 publications

Factors Related to Water Filter Use for Drinking Tap Water at Home and Its Association With Consuming Plain Water and Sugar-Sweetened Beverages Among U.S. Adults

Factors Related to Water Filter Use for Drinking Tap Water at Home and Its Association With Consuming Plain Water and Sugar-Sweetened Beverages Among U.S. Adults

Referrals and Management Strategies for Pediatric Obesity—DocStyles Survey 2017

Sugar-Sweetened Beverage Intake in a Rural Family Medicine Clinic

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