PURPOSE: The purpose of this study was to examine the relationship between stage of change for smoking cessation and stage of change for (1) fruit and vegetable consumption and (2) physical activity. DESIGN: The data come from a cross-sectional telephone survey administered to a stratified random sample of health plan members (n = 9675). SETTING: This study was conducted at a mixed-model health plan with approximately 1 million adult members. SUBJECTS: Respondents were adults age 18 and older, who were randomly selected from five health plan product groups: commercial fully insured, commercial self-insured, two publicly subsidized plans, and Medicare supplemental insurance. Response rates ranged from 74.7% to 90.1% across these groups. MEASURES: The assessment included demographics and stage of change for smoking cessation, physical activity, and fruit and vegetable intake. Bivariate relationships among variables were analyzed with the use of contingency tables. Ordered logistic regression was used to examine the effects of stage of change for fruit and vegetable consumption and physical activity on stage of change for smoking while controlling for other factors. RESULTS: Stage of change for smoking is more clearly related to stage of change for fruit and vegetable consumption (chi2 = 161.3, p < .001; Cramer's V = .11, p < .001) than to stage of change for physical activity (chi2 = 89. 7, p < .001; Cramer's V = .08, p < .001). However, stage of change for fruit and vegetable consumption and physical activity are not strong predictors of stage of change for smoking. CONCLUSIONS: This study indicates that stage of change for both fruit and vegetable consumption and physical activity are independent constructs from stage of change for smoking cessation.
PURPOSE: The purpose of this study was to examine the relationship between stage of change for smoking cessation and stage of change for (1) fruit and vegetable consumption and (2) physical activity. DESIGN: The data come from a cross-sectional telephone survey administered to a stratified random sample of health plan members (n = 9675). SETTING: This study was conducted at a mixed-model health plan with approximately 1 million adult members. SUBJECTS: Respondents were adults age 18 and older, who were randomly selected from five health plan product groups: commercial fully insured, commercial self-insured, two publicly subsidized plans, and Medicare supplemental insurance. Response rates ranged from 74.7% to 90.1% across these groups. MEASURES: The assessment included demographics and stage of change for smoking cessation, physical activity, and fruit and vegetable intake. Bivariate relationships among variables were analyzed with the use of contingency tables. Ordered logistic regression was used to examine the effects of stage of change for fruit and vegetable consumption and physical activity on stage of change for smoking while controlling for other factors. RESULTS: Stage of change for smoking is more clearly related to stage of change for fruit and vegetable consumption (chi2 = 161.3, p < .001; Cramer's V = .11, p < .001) than to stage of change for physical activity (chi2 = 89. 7, p < .001; Cramer's V = .08, p < .001). However, stage of change for fruit and vegetable consumption and physical activity are not strong predictors of stage of change for smoking. CONCLUSIONS: This study indicates that stage of change for both fruit and vegetable consumption and physical activity are independent constructs from stage of change for smoking cessation.
Authors: Nor Baizura Md Yusop; Zalilah Mohd Shariff; Ting Tzer Hwu; Ruzita Abd Talib; Nicola Spurrier Journal: BMC Public Health Date: 2018-03-01 Impact factor: 3.295
Authors: Seung Hee Choi; Joanne M Pohl; Jeffrey E Terrell; Richard W Redman; Sonia A Duffy Journal: Workplace Health Saf Date: 2013-08-23 Impact factor: 1.413
Authors: Andrew Rundle; John Richie; Karen Steindorf; Marco Peluso; Kim Overvad; Ole Raaschou-Nielsen; Francoise Clavel-Chapelon; Jacob P Linseisen; Heiner Boeing; Antonia Trichopoulou; Domenico Palli; Vittorio Krogh; Rosario Tumino; Salvatore Panico; Hendrik B Bueno-De-Mesquita; Petra H Peeters; Eiliv Lund; Carlos A Gonzalez; Carmen Martinez; Miren Dorronsoro; Aurelio Barricarte; M Jose Tormo; Josèr Quiros; Antonio Agudo; Goran Berglund; Bengt Jarvholm; Sheila Bingham; Timothy J Key; Emmanuelle Gormally; Rodolfo Saracci; Rudolf Kaaks; Elio Riboli; Paolo Vineis Journal: Biomarkers Date: 2010-02 Impact factor: 2.658
Authors: Amy E Harley; Carol M Devine; Binta Beard; Anne M Stoddard; Mary K Hunt; Glorian Sorensen Journal: Prev Chronic Dis Date: 2010-04-15 Impact factor: 2.830
Authors: Jennis Freyer-Adam; Filipa Krolo; Anika Tiede; Christian Goeze; Kornelia Sadewasser; Marie Spielmann; Kristian Krause; Ulrich John Journal: BMJ Open Date: 2022-09-19 Impact factor: 3.006