Predictors Of Health Behaviors Research Articles

Personal Resources and Expectations and Health Behaviors Among Solid Organ Transplant Recipients—A Multicenter Study

BackgroundThe long-term success of organ transplantation (Tx) depends on the transplant recipient's ability to self-manage symptoms, treatment, lifestyle changes, and psychosocial consequences. Health behavior (HB) determinants include personality traits such as optimism, self-efficacy, and health locus of control. PurposeAssessing the relationship between personal resources and expectations and health behaviors of organ transplant recipients. Material and methodsThe study was conducted between 01/04/2018 and 30/10/2019 at 3 transplant centers in Poland. The study group consisted of 243 Tx recipients of kidney, heart, liver, and lung. The Health Behavior Inventory, Multidimensional Health Locus of Control Scale (MHLC), General Self-Efficacy Scale, Dispositional Optimism Scale, and Hospital Anxiety and Depression Scale were used to collect data. FindingsThe study group had medium levels of dispositional optimism (mean 15) and high levels of self-efficacy (mean 30.18). The MHLC scale was dominated by a belief in the influence of others and an internal locus of control over one's health. The respondents presented a high level of HB (mean 92.09). A positive relationship was found between personal resources (self-efficacy and optimism), MHLC and HB. The presence of depression and anxiety negatively affected personal resources and internal locus of health control and HB in terms of a positive mental attitude. Type of Tx differentiated internal locus of health control and HB. Predictors of HB were dispositional optimism, self-efficacy, influence of others with health locus of control, symptoms of depression, age and time since transplantation-explaining between 6.1% and 14.5% of health behavior categories. ConclusionsTo improve health practices among organ recipients, strengthening their personal resources is recommended. It is necessary to form an internal locus of control for adherence to positive HB.

Predicting health behaviors during the COVID-19 pandemic: A longitudinal study.

We investigated the social, emotional, and cognitive predictors of adherence to four health behaviors (handwashing, mask wearing, social contact limitations, and physical distancing) during one critical phase of the COVID-19 pandemic. We collected data (N = 5803, mean age = 53; 57% women) in Belgium at five time points between April and July 2021, a time during which infections evolved from high (third wave of the pandemic) to low numbers of COVID-19 cases. The results show that the social, emotional, and cognitive predictors achieved high levels of explained variance (R2 > .60). In particular, the central components of behavioral change (attitudes, intentions, control, habits, norms, and risk) were the strongest and most consistent predictors of health behaviors over time. Likewise, autonomous motivation and empathetic emotions (e.g., attentive, compassionate) had a positive impact on health behavior adherence, whereas it was the opposite for lively emotions (e.g., active, enthusiastic). These results offer policymakers actionable insights into the most potent and stable factors associated with health behaviors, equipping them with effective strategies to curtail the spread of future infectious diseases.

Intention to vaccinate for Lyme disease using the Health Belief Model.

Lyme disease (LD) cases in the United States are estimated to be approaching 500,000 annually. Protective measures, such as repellent use and wearing protective clothing are recommended by public health officials. However, no protective measure has been proven to be consistently effective, partly because they require consistent and persistent behaviour change. While safe and effective vaccines are in development, it is unclear what factors influence the intention to vaccinate against LD. This study uses the Health Belief Model (HBM) framework to determine key drivers associated with vaccine intention. The HBM is widely applied in public health research and uses the following constructs: perceived susceptibility and severity of disease, perceived benefits and barriers to disease prevention, and cues to action for disease prevention to predict health behaviours. To date, the HBM framework has not been applied to vaccination intention for LD. Data were collected from 874 adults and 834 caregivers of children residing in US states endemic to LD. Sampling adults and caregivers allows us to explore how the intention to vaccinate differs among those at-risk. Estimates from structural equation modelling (SEM) show that the HBM constructs explain much of the variation in intention to vaccinate against LD. Both adult and caregiver intentions to vaccinate are positively influenced by cues to action, perceived susceptibility of LD, and perceived benefits to vaccination. However, there is variation in the influence of constructs across the samples. Caregiver's intention to vaccinate is positively influenced by the perceived severity of LD and negatively influenced by safety concerns about the vaccine, whereas adult intention is negatively influenced by perceived barriers to vaccination. A strong relationship of cues to action on vaccine intention in samples of adults and caregivers suggests the importance of a recommendation from a healthcare provider or the Centers for Disease Control and Prevention (CDC).

Pap smear test: Knowledge, Attitude and practice among the female nursing and paramedical staffs of Maternity and Child Hospital, Al Ahsa, Saudi Arabia

Background: A Pap smear test is a microscopic examination of uterine cervix which can detect the precancerous changes in the cervix (cervical dysplasia). Presence of human papilloma virus (HPV) and presence of precancerous changes in the cervical cells confirms the diagnosis. So early detection of HPV (causative factor) and precancerous changes in the cervix (cervical dysplasia) can help in early treatment of cervical cancer and complete cure. Being asymptomatic at presentation it is important to screen all the women at risk of getting cervical cancer for early diagnosis and its secondary prevention. Knowledge is one of the important determinants predicting health behaviors and an effective factor in performing screening methods in the population. However, acquiring knowledge only is not adequate and success of a prevention programme depends on the positive preventive attitude and correct practice of the population. The present study was done to assess the knowledge, attitude and practice of the healthcare workers at MCH hospital, Al Ahsa Saudi Arabia towards the Pap smear screening test. Results: A total of 217 out of 258 staffs responded the online questionnaires making the response rate of 85%. The mean age of the participants was 32. 83 ± 7. 20 Std. Dev. (Range 21-61 years). Majority of the participants (N= 180, 82. 9%) were married. Seventy percent of the participants (N=152) were staff nurse. Sixty four percent of the participants were graduate (N=139). The mean knowledge of the participants was 6. 31 ± 3. 24 Std. Dev. (Range: 2 -10). More than fifty percent of the participant (N=109) did not have good knowledge about Pap smear test. The mean of positive attitude score was 3. 56 ±1. 19 Std. Dev. (Range: 00-5). Fifty eight percent of the participant (N=128) had positive attitude towards Pap smear test. The mean of practice score was 2. 21 ±1. 00 Std. Dev. (Range: 00 – 4). Sixty eight percent of the participants (N=191) did not have good practice towards Pap smear test. The attitude of staff nurses was significantly positive (p=0. 024) than those of other medical staffs. The practice of the nursing staffs towards the Pap smear test was significantly negative (P=0. 000) than those of other medical staff. There were no significant difference in the knowledge, attitude and practice score between different age groups and marital status of the participants. Conclusion: This study has demonstrated a moderate level of knowledge and attitude among the paramedical and nursing staffs of Maternity and Child Hospital towards Pap smear screening test. However good knowledge and attitude did not translate into good practice in most of them especially among the nursing staffs. The rate of uptake for Pap smear test was low. The major reason for low uptake of Pap smear screening among the respondents include, no recommendation by any doctors, embarrassment, lack of knowledge about the Pap smear, lack of time and fear of the test result.

Which predicts worker’s health behavior more strongly in the COVID-19 pandemic, anticipated regret or risk perception?

This study aims to determine the predictive power of risk perception and anticipated regret on health behavior under uncertainty in the context of the COVID-19 pandemic. The research was conducted utilizing a predictive-correlational design and survey method to 224 Indonesian (156 women, 68 men; Mage = 37 years old). Multiple linear regression analysis demonstrated that risk perception has greater weight than anticipated regret in predicting health behavior. Additionally, mediation analysis showed that risk perception can partially mediate the prediction relationship between anticipated regret and health behavior.

College Students' Day-to-Day Maladaptive Drinking Responses to Stress Severity and Stressor-Related Guilt and Anger.

Stress is a common part of college students' daily lives that may influence their physical activity (PA) and alcohol use. Understanding features of daily stress processes that predict health behaviors could help identify targets for just-in-time interventions. This study used intensive longitudinal data to examine whether prior day stress processes predict current day PA or alcohol use. Participants (N=58, Mage=20.5, 59% women, 70% White) were 18-to-25-year-old students who engaged in binge drinking at least twice monthly and used cannabis or tobacco in the past year. They wore activity (activPAL4) and alcohol (Secure Continuous Remote Alcohol Monitor) monitors for 11 days to assess daily PA (e.g., step counts) and alcohol use (e.g., drinking day), and completed daily surveys about yesterday's stress, including number of stressors (i.e., frequency), stressor intensity (i.e., severity), and frequency of affective states (e.g., guilt). Multilevel models examined prior day stress predicting current day PA or alcohol use. Participants had higher odds of current day drinking (odds ratio=1.21) and greater area under the curve (B=0.08) when they experienced greater than usual stress severity the prior day. Participants had higher current day peak transdermal alcohol concentration (B=0.12) and area under the curve (B=0.11) when they more frequently experienced guilt due to stressors the prior day. College students' unhealthy response of increasing alcohol use due to stress could adversely impact health outcomes. There is a critical need for interventions addressing students' ability to effectively manage and respond to the stress-inducing, daily demands of student life.

Apathy as a determinant of health behaviors in older adults: Implications for dementia risk reduction.

Long-term improvements in physical inactivity and other behavioral risk factors are integral to dementia risk reduction; however, sustained behavior change is challenging. Apathy, depression, and fatigue may impact engagement in health behaviors, but their presentation overlaps. This study investigates whether these symptoms are differentially associated with multiple health behaviors. In 1037 community-dwelling older adults without dementia (aged 70-90, 55% women), regression analyses examined apathy, depression, and fatigue as predictors of health behaviors (physical activity, diet, alcohol, smoking) and a behavioral risk index. Apathy was associated with reduced physical activity and alcohol use, and one or multiple behavioral risk factors. No or inconsistent relations were found between depression or fatigue and health behaviors. Apathy is relevant to multiple health behaviors and should be considered when designing health promotion for older adults, including interventions for dementia risk reduction. Findings highlight the importance of distinguishing apathy from comorbid symptoms. Novel theory-based perspective on behavioural risk factors for dementia.Higher apathy predicted less physical activity and alcohol use, and increased odds of lifestyle risk factors.Depressive symptoms were not associated with any health behavior.Apathy may be a determinant of multiple health behaviors in older adults, distinct from depression and fatigue.Considering apathy in precision prevention of dementia appears warranted.

Self-efficacy, Optimism and Social Support as Predictors of Health Behaviors in Young Adults

Self-efficacy, Optimism and Social Support as Predictors of Health Behaviors in Young Adults

Individual risk preference as a predictor of health behaviour: evidence from the use of condoms against HIV/AIDS in Ghana

BackgroundIt is evident that public health education interventions to promote the use of condoms against HIV infections in Ghana have yielded modest results. However, existing studies in the field of sexual and reproductive health in Ghana have failed to account for differences in risk preferences of individuals. This study fills the gap by investigating how individuals' risk preferences predict their behaviour toward using condoms against HIV in Ghana.MethodConceptually, the study followed the Grossman health capital theoretical model for risk preference and health behaviour nexus. Data were obtained from the most recent Ghana Living Standards Survey Round 7 (GLSS 7), conducted in 2017. Using data from GLSS 7, a probit regression model was estimated to show how the risk preferences of individuals that did not abstain from sex predicted their use of condoms against HIV. To ensure robustness, two scenarios of declared risk preferences were used to predict the use of condom behaviour against HIV.ResultsProbit regression estimation shows that the risk preferences of individuals that did not abstain from sex significantly predicted their use of condoms against HIV in Ghana. Even though the study found that the predicted probability of using a condom reduces among risk-averse individuals that do not abstain from sex, not using a condom against HIV was found to be worse among risk lovers.ConclusionThe study provides empirical evidence that public health education against HIV/AIDS in Ghana cannot continue to ignore the risk preference of individuals. The results of this study have immediate implications, first for a comprehensive and continuous measurement of risk preferences among Ghanaians in major household surveys going forward. At the moment, the latest round of the GLSS is just about the only household survey in Ghana that has attempted to collect some data on individual time and risk preferences using only hypothetical monetary rewards. Second is the immediate consideration of individual risk preferences in public health education campaigns against HIV/AIDS in Ghana.

Executive Functions and Public Health: A Narrative Review.

Executive functions (EFs) skills are necessary for regulating the thoughts, emotions, and actions which are associated with many aspects of daily functioning. Executive dysfunction (EDFs) is present in a wide range of mental disorders. New study indicates that EFs may predict health behavior and make it easier to engage in a variety of healthy activities. In this narrative review, EFs and public health are briefly discussed. In general, 133 articles met the inclusion criteria (published 2018-2023) which were reviewed. EFs affect the mental and physical health. Besides individual problems, people with mental problems have heavy costs to society. Mental health cannot be considered separately from general health. Consequently, preventive and therapeutic approaches to mental health should be considered not only at the level of the whole society, but also at the global level.

The Relationship between Drunkorexia, Alcohol, and Blackouts Among College Students: An Exploratory Study.

College drinkers commonly report blacking out (i.e., alcohol-induced amnesia), and those who drink with the intention to blackout are at risk for harmful consequences. Drunkorexia (i.e., restriction of calories on planned drinking days) is a high-risk behavior potentially associated with blacking out. Informed by the Theory of Planned Behavior (TPB), this study explores blackout experiences and intentions to blackout association with drunkorexia. College students (n=2335) who primarily identified as female and White participated via an online survey. Participants received a $3 coupon for completion of the study. Consistent with the literature, 40% and 60.7% participants reported experiencing blackouts and drunkorexia respectively in the last year. Informed by the TPB, a structural equation model assessed if more frequency blackout experiences (IV) related to drunkorexia behaviors (DV1) and alcohol behaviors (DV2), and if there was a significant indirect effect through blackout intention. The model fit the data well (CFI=.98, TLI=.95) and suggests that more frequent blackout experiences relate to more drunkorexia experiences (R2=.04) and higher levels of alcohol consumption (R2=.44). In addition, the relationship between blackout experiences and drunkorexia flows through intentions to blackout (i.e., a significant indirect effect). Findings are consistent with TPB, which suggests intentions predict health behavior. Future interventions should consider modifying intentions and other possible TPB constructs to minimize high risk alcohol consumption and drunkorexia behaviors.

Conspiracy beliefs predicting health behaviors: an integration of the theory of planned behavior and health belief model

Conspiracy beliefs predicting health behaviors: an integration of the theory of planned behavior and health belief model

The clustering of multiple health and lifestyle behaviors among Swedish adolescents: a person-oriented analysis.

Knowledge of the distribution, prevalence, and clustering of multiple health and lifestyle related behaviors (HLBs) among adolescents can inform the development of effective health-promoting policies and interventions. We assessed the clustering of multiple HLBs among 11, 13 and 15-year-old Swedish adolescents and examined the socioeconomic and demographic correlates for the identified clusters. We used data from the 2017/2018 Swedish Health Behaviour in School-aged children (HBSC) study to conduct sex and age-stratified latent class analysis (LCA). The LCA was based on five HLBs: eating behavior and habits (EBH), physical activity (PA), tobacco usage (TU), alcohol consumption (AC) and sleeping habits and patterns (SHPs). Multinomial logistic regression models were used to assess the associations between the identified clusters and the socioeconomic and demographic characteristics of adolescents and their parents. Health behaviors varied by sex and age. Four distinct clusters were identified based on sex: cluster 1 (Mixed eating behaviors and habits, physical activity and low alcohol consumption), cluster 2 (Healthy lifestyle behaviors), cluster 3 (Unhealthy lifestyle behaviors), and cluster 4 (Breakfast, low alcohol consumption and tobacco usage). In the age-stratified analyzes, three clusters were identified: cluster 1 (Unhealthy lifestyle behaviors), cluster 2 (Moderately healthy lifestyle behaviors) and cluster 3 (Healthy lifestyle behaviors). The multinomial analysis showed that sex, age, family situation and perceived family wealth were strong predictors of health behaviors. Unhealthy behaviors were most commonly associated with socioeconomic disadvantage, having a migrant background, and living in reconstructed families or single-parent households. Health behaviors vary significantly based on socioeconomic and demographic circumstances. Targeted policies and intervention programs are necessary to improve HLBs among vulnerable and at-risk adolescents.

Assessing the incremental value of intellectual humility and cognitive reflection in predicting trust in science

BackgroundPrevious studies show that trust in science is an important predictor of health behavior. While it varies significantly in the population, the factors explaining this variability are not fully understood. In the present study, we first aimed to investigate the role of previously documented predictors of trust in science, specifically education, political conservatism, religiousness, conspiracy ideation, and openness to experience. Second, we aimed to investigate the incremental value of two novel predictors - intellectual humility and cognitive reflection. MethodAn adult sample from the United States (N = 705) completed an online questionnaire containing basic demographic questions and measures of trust in science and the proposed predictors. FindingsThe results showed that political conservatism, religiousness, conspiracy ideation, and openness to experience significantly contributed to trust in science, while education did not. Furthermore, after controlling for these factors, an aspect of intellectual humility, openness to revising one's viewpoint, emerged as one of the key predictors of trust in science. ConclusionOur study provides a better understanding of factors contributing to trust in science and highlights a novel malleable factor that could be addressed with future interventions.

Effects of personal and interpersonal factors on changes of food choices and physical activity among college students.

Health behaviors developed in the college years tend to persist in adulthood. However, distinct changing patterns of food choices and physical activity (PA) and their predictors are still less clear among college students. The current study sought to explore changes of food choices and PA, as well as the effects of personal and interpersonal factors. Two-wave longitudinal data was collected from a sample of 431 Chinese college students (Mean baseline age = 19.15 ± 0.61 years; 45.7% male). A validated self-reported food frequency questionnaire was used to assess the frequency of food choices. The Chinese revised version of physical activity rating scale was used to assess physical activity. Latent profile analysis, latent transition analysis, and multinomial logistic regression analysis were used to analyze the data. Two profiles of food choices, i.e., Avoiding staples (5.1% at Time 1) and Varied diet (94.9% at Time 1), were identified at both timepoints. 90.9% remained the same profiles over time, 63.6% participants in the Avoiding staples profile shifted to the Varied diet profile, and only 6.3% of those in the Varied diet profile shifted to the Avoiding staples profile. Negative body shape-related belief was related to the translation from the Varied diet profile to the Avoiding staples profile. Further, four profiles of PA, i.e., Inactives (51.0% at Time 1), Low activies (26.0% at Time 1), Moderate activies (15.3% at Time 1), and Activies (7.7% at Time 1), were identified at both timepoints. 50.8% remained the same profiles over time, 38.6% Inactivies shifted to the other profiles, and 48.5% Activies shifted to the other profiles over time. Participants with higher self-efficacy showed an increase in PA over time, and those with lower self-efficacy and lower peer support showed a decrease in PA over time. Overall, most of college students remained the same food choices profiles, and body shape-related belief contributed to changes in food choices profiles. About half of college students experienced changes in PA, and the predictors of such changes were peer support and self-efficacy. The findings extend the understanding of the personal and interpersonal predictors of health behaviors among college students from a dynamic perspective.

Seeing COVID‐19 is believing: Direct and indirect experiences with COVID‐19 predict health behaviors through conspiracy beliefs and risk perception

AbstractWhen people are confronted with research that contradicts their own personal experiences, they tend to deny the science. Using a secondary multinational data set collected during the early stages of the coronavirus disease 2019 (COVID‐19) pandemic (N = 46,490), we tested this “seeing is believing” effect as it relates to the link between direct and indirect personal experience with COVID‐19 and public health behaviors (PHBs) through COVID‐19 conspiracy beliefs and perceived risk of infection. Indirect experience with COVID‐19 was associated with lower endorsement of COVID‐19 conspiracy beliefs, which negatively predicted risk perception of infection, and, in turn, positively predicted PHBs. However, direct experience positively predicted COVID‐19 conspiracy beliefs, while it negatively predicted perceived risk. Moreover, while indirect experience positively predicted PHBs, direct experience largely negatively predicted PHBs. Implications of these findings as it relates to the “seeing is believing” effect are discussed.

The light triad moral dimension and resilience as predictors of health behaviors among COVID-19 convalescents

Research on the frequency of health-related behaviors performed by people after COVID-19 and its relationship with personal resources, personality traits and positive orientation to other people are intended to shed new light on the situation of convalescents after suffering from the disease. The purpose of this thesis was to identify and determine the relationship between moral dimension of the Light Triad, resilience and health behaviors among COVID-19 convalescents. The study involved 204 people aged 18 to 75 years who reported having COVID-19 disease. Each respondent was asked to complete an identical set of survey tools, which consisted of: survey information, metrics and three tools to determine the level of surveyed variables. These were the Brief Resilience Scale (BRS), the Light Triad Scale (LTS) and the Health Behaviors Inventory (IZZ). Studies have shown that there are statistically significant associations between resilience, the Light Triad and health behaviors among COVID-19 convalescents. Resilience and the Light Triad have been found to be predictors of health behaviors in the COVID-19 recovery group, which means that individuals who treat adversity as developmental challenges and are positively oriented towards other people in the face of the SARS-CoV-2 coronavirus disease show a higher level of health behaviors after the disease.

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation

BackgroundNon-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This paper aims to study the influencing factors of tobacco control intention and behavior of non-smoking college students in China by combining the UTAUT and e-HL.MethodsBased on the stratified sampling method, 625 college students from 12 universities were selected. Data were collected using a self-made questionnaire designed based on the UTAUT and e-health literacy scales. Data were analyzed by SPSS 22 and AMOS 26, including descriptive statistics, one-way variance analysis and structural equation model analysis.ResultsThe results of one-way variance analysis showed that there were significant differences in the score of non-smoking college students’ tobacco control intention or behavior by hometowns, monthly living expenses, and parents' smoking history. Performance expectancy, effort expectancy, social influence had direct positive effects on behavioral intention. Facilitating condition, behavioral intention had direct positive impacts on use behavior and e-HL had an indirect positive impact on use behavior.ConclusionsThe combination of the UTAUT and e-HL can be used as an appropriate framework to predict the influencing factors of non-smoking college students' intention and behavior of tobacco control. Improving performance expectancy, effort expectancy, and e-HL among non-smoking college students, creating positive social environments, and providing facilitating condition are key aspects of increasing their tobacco control intention and behavior. It is also beneficial to promote the implementation of smoke-free campus and smoke-free family projects.

Can the capabilities, opportunities and motivations model predict health behavior 1 year later?

The capabilities (C), opportunities (O) and motivations (M) model of behavior (B) change (COM-B) is designed to capture the key features of numerous models of behavior change, but little is known about its predictive validity. The present study tests the predictive validity of COM-B prospectively in the domain of attending hearing screening. 6,000 adults, representative of the U.K. population (e.g., 52.6% women) who one year earlier had reported COM with respect to attending hearing screening, were contacted again to complete an online survey with respect to their actual attendance. Data were analyzed descriptively, and with logistic regression to examine the influence of sociodemographic variables and COM on attendance at hearing screening. Respondents reported being highly capable of attending hearing screening (Ms > 7.98 on a 0-10 scale), but much lower levels of automatic (M = 4.21 on a 0-10 scale) and reflective (M = 5.21 on a 0-10 scale) motivations. Logistic regression analyses showed that men and older people were more likely to have their hearing checked but that hearing difficulty was the dominant determinant of attending hearing screening. Controlling for these sociodemographic and clinical variables, opportunities and motivations (but not capabilities) were also significantly associated with behavior. The COM-B model was predictive of attending hearing screening over a one-year period, which potentially makes it valuable for understanding health behavior change. Interventions for improving uptake in hearing screening that goes beyond increasing knowledge and skills (capabilities) are required to increase attendance at hearing screening. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Strategy for Prevention of Type 2 Diabetes Mellitus in Guyana: The Guyana Diabetes Risk Score

Background: Type 2 Diabetes Mellitus (T2DM) imposes an enormous and mounting burden on global public health systems, especially in developing countries such as Guyana. However, primary prevention of type 2 diabetes can be achieved through organized lifestyle intervention programs for weight loss, increased physical activity and dietary restrictions. Therefore, there is a need to develop local risk stratification tools tailored to the local population to identify high-risk individuals who may benefit from these interventions. Objectives: This study proposes implementing a program for the primary prevention of T2DM in high-risk adults (18 – 55 years) in Guyana. The main objective is to identify adults at high-risk for developing type 2 diabetes mellitus using a Diabetic Risk Score and to enroll the participants in a lifestyle intervention program. Methods: The health belief model is a theoretical framework that guides health promotion programs by predicting health behaviours. A health promotion campaign will target high-risk adults at local healthcare facilities and across Guyana through television, radio and social media adverts. The health promotion adverts will inform and educate the target population to complete the Guyana Diabetic Risk Score questionnaire. If the score on the Guyana Diabetic Risk Score questionnaire exceeds 50, the participants will be enrolled in a lifestyle intervention program, 'Healthy Me'. Results and Discussion: Minor changes in lifestyle, such as a healthy diet, increased physical activity, and healthy body weight, can reduce diabetes in high-risk adults by over 50%. Conclusions: The Guyana Diabetes Risk Score is a low-cost, non-invasive, practical tool to identify individuals at high risk for T2DM in Guyana. Keywords: Type 2 Diabetes Mellitus, T2DM, Guyana Diabetes Risk Score.