Objective The purpose of this study is to examine the association between delivery of healthcare provider’s advice about lifestyle management and lifestyle behavioural change in pre-diabetes management in adults who were overweight or obese.
Design This cross-sectional study included adults with body mass index (BMI) ≥25 kg/m2 and reporting pre-diabetes in USA. Outcomes included the prevalence of receiving provider’s advice on lifestyle management and patterns of practicing lifestyle change. The association between delivery of provider’s advice and lifestyle-related behavioural change in pre-diabetes management was examined.
Setting US Continuous National Health and Nutrition Examination Survey (2013–2018).
Participants A total of 1039 adults with BMI ≥25 kg/m2 reported pre-diabetes.
Results Of eligible adults with pre-diabetes, 76.8% received provider’s advice about lifestyle change. The advice group showed higher proportions of ongoing lifestyle change than no advice group, including weight reduction/control (80.1% vs 70.9%, p=0.018), exercise (70.9% vs 60.9%, p=0.013) and diet modifications (83.8% vs 61.8%, p<0.001). After adjustment, those receiving provider’s advice were more likely to increase exercise (OR 1.63, 95% CI 1.12 to 2.38) and modify diet (OR 3.0, 95% CI 1.82 to 4.96).
Conclusion Over 75% of US adults who were overweight or obese and reported pre-diabetes received healthcare provider’s advice about reducing the risk of diabetes through lifestyle change. Provider’s advice increased the likelihood of lifestyle-related behavioural change to exercise and diet.
- diabetes mellitus
- type 2
- family medicine
- healthy lifestyle
- outcome assessment
- health care
Data availability statement
Data are available in a public, open access repository. NHANES data is available for public use from https://www.cdc.gov/nchs/nhanes/about_nhanes.htm.
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How did US health professionals deliver advice about lifestyle management to adults who were overweight or obese in pre-diabetes management and how did their advice change lifestyle behaviour?
More than 75% of adults who were overweight or obese received a provider’s advice for pre-diabetes management to reduce the risk for diabetes through lifestyle change. Over 70% of those who received lifestyle advice in the study reported that they followed the provider’s advice.
Providers focused on a high-risk population to deliver advice about type 2 diabetes prevention and management through lifestyle change. This focus translated clinical evidence into primary care practice advice giving. However, Hispanics were more likely to receive provider’s advice than non-Hispanic whites. Primary care providers should take the opportunity to understand their patients’ behaviour and identify barriers to pre-diabetes management.
Pre-diabetes increases the risk of developing type 2 diabetes and cardiovascular diseases (CVD).1 More than one-third of US adults have pre-diabetes, although only about 20% are aware that they have pre-diabetes.2 For the 88 million US adults with pre-diabetes, approximately 11% will progress to type 2 diabetes annually.3 Lifestyle interventions, including weight loss, nutrition and physical activity, can effectively prevent or delay the occurrence of diabetes, as evidenced by several large diabetes prevention programmes.4–6 The Diabetes Prevention Programme demonstrated that intensive lifestyle change could reduce the progression from pre-diabetes to type 2 diabetes by 58% over 3 years.4 In the USA, the Diabetes Prevention Programme Outcomes Study showed that long-term lifestyle change reduced the risk for type 2 diabetes by 34% at ten years and 27% at 15 years.7 8
The data showing sustained reductions in progression to type 2 diabetes using lifestyle interventions is compelling. Yet, broad adoption of implementing pre-diabetes treatment guidelines in clinical practice is lacking.9–12 When comparing those who know they have pre-diabetes to those with normal fasting serum glucose, those with pre-diabetes were more likely to report positive behavioural change such as weight control, increased exercise and fat and caloric reduction.13 Yet less than 25% of patients with pre-diabetes reported having received lifestyle change advice during an office visit with their medical providers.9 There is a gap in our knowledge about the associations between the evidence-based practice guideline supporting lifestyle change, physician utilisation of that the guideline to provide advice during office visits and subsequent change in patient behaviour.
Obesity has been identified as a risk factor for diabetes.14 A meta-analysis combining 11 prospective cohort studies found that healthy adults with obesity and unhealthy adults with obesity were 4 times and 8.9 times more likely respectively to develop type 2 diabetes than healthy normal weight adults.15 However, knowledge about the adoption of lifestyle management advice for patients who are overweight or obese in pre-diabetes management is limited. It remains to be determined whether the healthcare provider’s advice about lifestyle management was delivered to this high-risk population as expected. We need more robust information about whether patients with obesity and pre-diabetes follow their provider’s advice regarding lifestyle practices known to mitigate the risk of developing diabetes. Understanding the patterns associated with receiving lifestyle management advice from health professionals and patient behaviour associated with adopting those recommendations could help identify socioeconomic disparities of and barriers to providing patient centric lifestyle interventions that prevent the progression from pre-diabetes to diabetes. This study aimed to (1) examine the prevalence and patterns of receiving a physician or other healthcare provider’s advice to change lifestyle behaviours in adults who were overweight or obese and reported pre-diabetes and (2) assess whether the provider’s advice influenced lifestyle behaviours in this high-risk population.
Study design and data source
This retrospective cross-sectional study accessed the publicly available Continuous National Health and Nutrition Examination Survey (NHANES) data for years 2013–2018.16 NHANES is designed and conducted by the National Center for Health Statistics to assess the health and nutritional status in the US civilian, non-institutionalised population.16 NHANES collects data through interviews and physical examination covering 2 years in a stratified and multistage probability sample.
This study sample was derived by pooling three cycles of the Continuous NHANES data (2013–2014, 2015–2016 and 2017–2018). Participants who met the following criteria were included: (1) aged ≥20 years; (2) told by a doctor or other professional that they had pre-diabetes, impaired fasting glucose, impaired glucose tolerance or borderline diabetes and (3) body mass index (BMI) ≥25 kg/m2. Participants excluded from the study sample met these criteria: (1) pregnant; (2) told by a doctor or other health professional that they have diabetes or (3) had missing responses to the questions examined in this study. The participants with missing responses accounted for 1% of the study sample.
The study sample was divided into two groups: (1) providers’ advice group (ie, the participants were told by a doctor or other health professional to control or lose weight, increase physical activity or exercise or reduce the amount of fat or calories in diet) and (2) no-advice group (ie, the participants were not told to change their lifestyle by losing weight, exercise and through diet).
The primary outcome was the participants’ lifestyle behaviour, as measured by the responses to survey questions regarding whether participants changed their lifestyle by controlling or losing weight, increasing physical activity or exercise, or reducing the amount of fat or calories in the diet, respectively. The patterns of providers’ advice and participants’ behaviour of lifestyle change were described.
Characteristics of study sample
The study assessed BMI, age, race, gender, education, income, health insurance, access to healthcare, activity limitation, family history of diabetes and history of CVDs to reflect the characteristics of the study sample. These variables were also included in the regression analysis as covariates for adjustment.
Overweight was defined by BMI (25–29.9 kg/m2) and obesity was defined by BMI ≥30 kg/m2.17 The definitions of the following variables were from NHANES documentations.16 Family income level was measured by the NHANES family monthly poverty level index variable that is a ratio of the monthly family income to the US federal poverty line adjusted to account for family size. Access to healthcare was measured by the response to the NHANES survey question, ‘Is there a place that you usually go when you are sick or need advice about health?’ Activity limitation was defined as participant-reported limitations caused by long-term physical, mental or emotional problems or illness. History of CVD was defined as ‘yes CVD’ when the participants were told by a doctor or other health professional that they had congestive heart failure, coronary heart disease, heart attack, stroke, hypertension or hyperlipidaemia.
For the sample of overweight and obese adults with pre-diabetes, this study used χ2 tests to compare characteristics and lifestyle behavioural change between those who received a provider’s advice and those who did not. Multivariable logistic regression was performed to identify significant factors associated with receiving the providers’ advice about lifestyle changes. The dependent variable in this logistic regression was whether receiving providers’ advice (yes vs no). Independent variables were participants’ demographic and health characteristics in table 1. If racial disparity in receiving the provider’s advice was identified in the logistic regression, subgroup analysis was performed to compare advice delivery patterns between different races.
The multivariable logistic regression also examined the effect of the providers’ advice on participants’ practice of lifestyle change. The dependent variables in three logistic regression models were reducing fat or calorie intake (yes vs no), increasing physical activity or exercises (yes vs no) and controlling or losing weight (yes vs no), respectively. The primary independent variable in the three logistic regression models was provider’s advice (yes vs no). Participants’ demographics, insurance status, activity limitation, family history of diabetes and history of CVD were included in the regression as covariates for adjustment.
With the consideration of the complex survey design, sample interview weights were constructed and applied to all analyses to get national estimates for the US population.18 The statistical significance was set at p<0.05. SAS V.9.4 was used for all analyses.
A total of 1039 eligible adults with BMI ≥25 kg/m2 reported pre-diabetes, representing 16.6 million individuals in the USA, and were included in the study sample (figure 1). Of those, 76.8% (n=798) received a providers’ advice and 90% (n=935) reported lifestyle change to reduce the risk for diabetes. In table 1, compared with the no-advice group, participants receiving a provider’s advice for lifestyle modification showed significantly higher proportions in the following characteristics: obesity (76.7% vs 38.9%, p<0.001), having a routine place for healthcare (90.3% vs 76.9%, p=0.01) and reporting activity limitation (32.8% vs 18.6%, p<0.001) and history of CVD (76.9% vs 58.1%, p<0.001).
Figure 2 displays the overall patterns of advice provided by providers and participants’ practice of lifestyle change to reduce diabetes risk. Health professionals provided advice of lifestyle change to 76.8% of adults with BMI ≥25 kg/m2 and reporting pre-diabetes. Nearly 55% of those were advised to change all three aspects of lifestyle: (1) controlling or losing weight, (2) increasing exercise and (3) reducing calorie intake. Advice of changing two aspects of lifestyle was provided to 27% of the adults. Among those receiving advice, 93.2% reported lifestyle change on at least one aspect. Nearly 58% of the adults reported lifestyle change on all three aspects. Over one-third of the adults reported lifestyle change on two aspects.
Table 2 presents significant factors associated with receiving health professional’s advice on lifestyle change in adults with BMI ≥25 kg/m2 and pre-diabetes. Overall, obesity (vs overweight), Hispanic (vs White), access to healthcare and history of CVD increased the likelihood of receiving advice from health professionals on all three aspects of lifestyle change. Participants with activity limitation were two times more likely to be advised to increase exercise. Those with college or above education were 2.4 or 2.5 times more likely to receive advice on weight loss than those with education less than high school. Online supplemental table 1 shows the full results of multivariable logistic regression on likelihood of receiving providers’ advice on lifestyle change. In the subgroup analysis (table 3), compared with non-Hispanic whites, Hispanic Americans showed higher proportions of receiving provider’s advice on diet (66.2% vs 46.1%, p<0.001), exercise (75.6% vs 60.7%, p<0.001) and weight control (61.9% vs 52.3%, p<0.013).
Table 4 shows whether providers’ advice facilitated participants’ practice of lifestyle change. The participants who received lifestyle change advice reported higher proportions of ongoing lifestyle changes than those in the no-advice group, including changes in diet (83.8% vs 61.8%, p<0.001), exercise (70.9% vs 60.9%, p=0.013) and weight reduction/control (80.1% vs 70.9%, p=0.018). After adjusting for participants’ demographic and health characteristics, those in the advice group were more likely to reduce their fat or calorie intake (OR 3.00, 95% CI 1.82 to 4.96) and increase physical activity or exercise (OR 1.63, 95% CI 1.12 to 2.38). The providers’ advice did not affect the participants’ behaviour for weight reduction/control significantly (OR 1.36, 95% CI 0.86 to 2.15). Online supplemental table 2 shows the full results of multivariable logistic regression on the association between providers’ advice and participants’ practice of lifestyle change.
This study reports three major findings. First, more than 75% of adults who were overweight or obese and reported pre-diabetes received a provider’s advice to reduce the risk for diabetes through lifestyle change, much higher than the prevalence (23%) reported in a general pre-diabetes population not limited to overweight or obesity status.9 Second, a disparity between Hispanics and non-Hispanic whites was identified in this study’s population in regard to receiving provider’s advice about lifestyle management. Finally, receiving advice from a provider significantly increased the likelihood of lifestyle change. Over 70% of those who received lifestyle advice in the study reported that they followed the provider’s advice.
Lifestyle interventions have been shown to be effective in reducing the risk of diabetes.4 8 19 20 However, a previous study indicated that less than 25% of a general adult population of pre-diabetes patients received provider’s advice about lifestyle change during office visits.9 This study found a much higher prevalence for receiving lifestyle management from health providers (76.5%) when the population of interest was limited to those who were overweight and obese. The results suggest that the gap between pre-diabetes treatment guidelines and clinical practice was reduced in people who were overweight or obese. Health professionals might pay more attention to reduce the risk of diabetes in a high-risk population. However, in this study, one quarter of adults with a BMI ≥25 kg/m2 and pre-diabetes did not receive provider’s advice about lifestyle change, a finding that becomes more concerning when the prevalence of diabetes screening in ambulatory care is considered. A study using the US National Ambulatory Medical Care Survey from years 2012–2015 reported that fewer than 15% of adults with BMI ≥25 kg/m2 and pre-diabetes indicators were screened for diabetes.10 With the growth of pre-diabetes prevalence in the USA, efforts have been made to increase the awareness of pre-diabetes through treatment guidelines1 and the National Diabetes Education Programme.21 However, screening for pre-diabetes and delivering pre-diabetes management are still a challenge in clinical practice for the entire US population.9 10
This study identified a racial disparity between Hispanics and non-Hispanic whites with pre-diabetes related to receiving provider advice about lifestyle change. Overall, Hispanic Americans were more likely to receive lifestyle management advice from their providers. The subgroup analysis indicated that the biggest difference occurred in the advice on diet change, where 66% of Hispanic adults received advice to reduce fat or calories intake vs 46% of non-Hispanic whites (p<0.001). In the USA, the prevalence of diabetes in Hispanic Americans is 17%, higher than non-Hispanic whites (8%).22 The higher prevalence of diabetes in Hispanic population might make health professionals more likely to address lifestyle change management to this population with high risk of developing diabetes. Research regarding Western diet acculturation and traditional Hispanic food choices may have influenced the increased likelihood to discuss dietary factors with Hispanic patients.23 24 The increased focus on lifestyle advice compared with non-Hispanic white adults may be influenced by provider’s perceptions about reported low levels of physical activity in Hispanic Americans.25
This study found that those receiving the provider’s advice were more likely to report reducing fat or calories intake and increasing exercise than those without provider advice. The results suggest providers advice would influence pre-diabetes lifestyle management. Providers often serve as a major resource to help patients learn about diabetes management.26 Patients may view the communication from their provider as a more trusted, reliable and effective source of information to address their specific health concerns.27 Patients may be more inclined to engage in lifestyle change after getting instructions from their provider than from developing self-awareness about pre-diabetes or knowledge obtained from other sources. However, more studies are needed to examine the long-term effect of health provider’s advice on quality, engagement and outcomes associated with pre-diabetes management in the overweight and obese population.
Whether patients follow a provider’s advice after an office visit is another concern in pre-diabetes management. Adherence to lifestyle change is critical to reduce the risk of type 2 diabetes. The results showed that after receiving a provider’s advice, over 80% of people reported reducing fat or calories intake and controlling or losing weight, and 70% reported increasing physical activity or exercise. The provider’s advice or the person’s perceived diabetes risk could contribute to the lifestyle change behaviour. Abel et al’s study indicated that supportive factors would help patients with pre-diabetes to make dietary changes, such as determination not to develop diabetes, clear information and manageable strategies and supportive relationship.28 Additional nutrition care is important to support dietary change in pre-diabetes management.29 Further studies are needed to examine the long-term adherence to lifestyle management to determine factors that sustain lifestyle change to reduce the risk of diabetes in overweight and obese populations.
This study provides important implications for pre-diabetes management in primary care. Compared with previous research assessing the general adult population, the gap between clinical guidelines regarding lifestyle style change in pre-diabetes treatment and real-world practice was reduced significantly in the overweight and obese population. However, inequitable access to diabetes care presents a major barrier to getting advice about diabetes disease management from a primary care provider.30 Addressing access to care may improve the dissemination of important lifestyle, diet and disease management information to vulnerable populations with type 2 diabetes. Delivering equitable population-based lifestyle interventions remains challenging in preventing and controlling type 2 diabetes. Primary care providers play an essential role in motivating patients to change their lifestyle to manage pre-diabetes. Patient-centred care has been proposed as a successful approach in diabetes management.31 32 Primary care providers should take the opportunity to understand their patients’ behaviour and identify barriers to pre-diabetes management. This would help personalise lifestyle intervention delivery, improve the quality of health advice and achieve desired treatment goals.
First, all eligible respondents included in this study represented US adults who self-reported they were aware of having pre-diabetes. The findings of this study may not be generalised to the US population whose pre-diabetes diagnosis was determined by laboratory test values.33 Second, the results from NHANES data reflected a snapshot in time of participants’ behaviour to prevent or delay type 2 diabetes. It is unknown whether receiving a provider’s advice translated into actual behavioural change or long-term adherence to improved approaches to healthy lifestyle choices. The results should be interpreted with some caution as there may be discrepancies between what the respondent reported versus how well they followed the provider’s advice. Also, this study did not imply any causal relationships between a provider’s lifestyle management advice and adopting all or portions of that advice or between a provider’s advice and successful prevention of pre-diabetes disease progression. Third, the details of providers’ advice, such as duration and intensity, were not available in the NHANES. Variations in delivering lifestyle management advice might exist among the providers; however, this study could not measure the quality of the providers’ advice about lifestyle factors on pre-diabetes management. Additionally, the providers’ specialties were unknown, so the differences in lifestyle management delivery patterns among health providers with various specialties were not examined. Finally, the effects of the providers’ advice on treatment outcomes (eg, glucose control) were not assessed. This study suggests that the providers’ advice increased the likelihood of implementing lifestyle change to manage pre-diabetes; however, further research is needed to compare the health outcomes associated with lifestyle changes in those receiving a provider’s advice vs those who did not receive advice.
Over 75% of US adults with BMI ≥25 and pre-diabetes received advice about reducing the risk of diabetes through lifestyle change from their healthcare provider. This is a much greater percentage of persons to be given advice about pre-diabetes lifestyle approaches to pre-diabetes management than for those with normal weight. Moreover, our findings show that providers focused more on the Hispanic patient population who were overweight or obese than their White counterparts. This finding aligns with the greater risk Hispanic patients have of progressing to diabetes when weight is a factor. There is room for improvement to show equity across all weight categories, as racial backgrounds when giving advice about lifestyle change among adults who are overweight or obese with pre-diabetes. Finally, the results show that healthcare provider’s advice increased the likelihood of lifestyle-related behavioural change to exercise and diet.
Data availability statement
Data are available in a public, open access repository. NHANES data is available for public use from https://www.cdc.gov/nchs/nhanes/about_nhanes.htm.
Patient consent for publication
This study was approved by Institutional Review Boards of Presbyterian College.
The authors wish to acknowledge Mary Hannah’s work to help edit the manuscript.
Contributors MLD-A and JW contributed to the concept of the study. MLD-A, ZKL and JW contributed to the analysis and interpretation of the data. MLD-A and JW contributed to the drafting of the manuscript. All authors contributed to the critical revision of the manuscript and approved the final version for publication and took responsibility for the accuracy and integrity of the study. JW is responsible for the overall content as the guarantor.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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