Bhisma Murti
Master’s Program in Public Health, Universitas Sebelas Maret, Indonesia

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Path Analysis: Implementation of Information Motivation Behavioral Skill Model on Tertiary Preventive Behavior in Type II Diabetes Melitus Aktif Cahyaning Tyas; Bhisma Murti; Didik Gunawan Tamtomo
Journal of Health Promotion and Behavior Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.01.01

Abstract

Background: Diabetes Mellitus (DM) is a chronic metabolic disorder characterized by hyperglycemia. Hyperglycemia over a long period of time increases the occurrence of complications. Complications due to type 2 DM can be prevented or delayed by implementing tertiary preventive behavior. This study aims to analyze the influence of the Information Motivation and Behavior Skill Model on tertiary preventive behavior in type 2 DM patients. Subjects and Method: This research with a cross-sectional design was conducted in Boyolali Regency, Central Java from November to December 2023. The research was conducted at 25 posbindu in Ngemplak and Nogosari Districts. The sample size was 200 adults with a diagnosis of type 2 DM who were selected using the stratified random sampling method. The dependent variable is tertiary preventive behavior. The independent variables are information, motivation, behavioral skills, age, gender, education, and employment. Data collection was carried out using questionnaire interviews. Data were analyzed using path analysis in the STATA 13 application. Results: There is a positive relationship between behavioral skills and tertiary preventive behavior (b= 0.16; 95% CI= 0.02 to 0.29; p= 0.023). There is a positive relationship between information and behavioral skills (b= 0.25; 95% CI= 0.13 to 0.38; p<0.001). There is a positive relationship between motivation and behavioral skills (b= 0.38; 95% CI= 0.15 to 0.41; p<0.001). The path analysis model has good model suitability, as indicated by the following suitability indicators: p= 0.244; RMSEA= 0.045; CFI= 0.98; TLI= 0.95; SRMR= 0.032. Conclusion: Tertiary preventive behavior in adult type 2 DM patients is directly influenced by behavioral skills. Tertiary preventive behavior is indirectly influenced by information and motivation. Tertiary preventive behavior in type 2 DM patients increases with good information, strong motivation and good behavioral skills.
Effect of Social Capital on Smoking and Alcohol Consumption Behavior in Adults Maoli Zartika; Bhisma Murti; Argyo Demartoto
Journal of Health Promotion and Behavior Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.02.07

Abstract

Background: Clinical epidemiological studies show that smoking and alcohol are often used together as social activities. Smoking and alcohol consumption are related to the risk of developing non-communicable diseases. According to data from the Indonesian Health Survey (SKI), (2023) the percentage of smokers in Surakarta City is 23.6% and the percentage of alcohol consumption is 1.4%. This study aims to analyze the influence of social capital on smoking behavior and alcohol consumption in adults. Subjects and Method: The research design used is a cross-sectional study. The population in this study is adults aged 19-59 years in the city of Surakarta. Sampling in the study was carried out by the snowball sampling method, then as many as 200 adults domiciled in the city of Surakarta were obtained. The method used in collecting data for this study is a questionnaire. The analysis used in this study is the Structural Equation Model (SEM) to analyze the influence of social capital elements on smoking behavior and alcohol consumption in adults. The dependent variables are smoking habits and alcohol consumption. The independent variable is social capital including 3 elements, namely structural elements, cognitive elements and relational elements. Results: Social capital had a negative effect on smoking behavior (b= -0.80; 95% CI= -0.88 to -0.71; p= 0.001), and social capital has a negative effect on alcohol consumption (b= -0.71; 95% CI= -0.80 to -0.63; p= 0.001). Conclusion: The results of this study show that social capital constructs include structural elements, cognitive elements and relational elements that are high have a lower likelihood of smoking behavior and alcohol consumption in adults.