Identifying Excessive Intake of Oil and Salt to Prevent and Control Hypertension: A Latent Class Analysis

被引:4
作者
He, Lu [1 ]
Yan, Yan [1 ]
Wang, Yuxiao [2 ]
Sun, Yudan [3 ]
La, Yuanyuan [1 ]
Liu, Jie [1 ]
Cai, Yutong [1 ]
Cao, Xi [1 ]
Feng, Qilong [4 ]
机构
[1] Shanxi Med Univ, Sch Publ Hlth, Dept Social Med, Taiyuan, Peoples R China
[2] Shanxi Med Univ, Sch Management, Dept Hlth Econ, Taiyuan, Peoples R China
[3] Shanxi Med Univ, Hosp 1, Taiyuan, Peoples R China
[4] Shanxi Med Univ, Dept Physiol, Key Lab Cellular Physiol, Minist Educ, Taiyuan, Peoples R China
关键词
hypertension; health behavior; latent class analysis (LCA); oil and salt in hypertension; public health; BLOOD-PRESSURE; METABOLIC SYNDROME; RISK-FACTORS; DIETARY; PREVALENCE; HEALTH; CHINA; NUTRACEUTICALS; METAANALYSIS; SMOKING;
D O I
10.3389/fcvm.2022.782639
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionTo identify health hazard behaviors and provide a basis for targeted management and intervention for patients with hypertension, we classified their health-related behaviors. MethodsA multi-stage random sampling method was used to conduct an on-site questionnaire survey among residents aged >= 15 years in a certain urban area of Taiyuan City, Shanxi Province, China. A latent class analysis was used to classify the lifestyle behaviors of patients with hypertension. The lifestyle behavior characteristics of different types of patients with hypertension and their awareness of hypertension were assessed. ResultsThe prevalence of hypertension in Taiyuan City was 19.5%. Patients with hypertension were classified into three clusters according to their lifestyle patterns: smoking and drinking (13.35%), excessive edible oil and salt intake (68.27%), and healthy behavior (18.38%). Comparing the three latent classes of lifestyle, the distribution of age, sex, marital status, and education level was different (P < 0.05). The awareness of hypertension and the rate of control among the three classes were also different (P < 0.05). ConclusionThe lifestyle behaviors of patients with hypertension have evident classification characteristics. Approximately two-thirds of the patients with hypertension have an excessive intake of oil and salt. Therefore, targeted and precise intervention measures should be taken to control the intake of oil and salt in this cohort.
引用
收藏
页数:10
相关论文
共 50 条
[41]   Identifying Patterns of Social and Economic Hardship Among Structurally Vulnerable Women: A Latent Class Analysis of HIV/STI Risk [J].
Brantley, Meredith L. ;
Kerrigan, Deanna ;
German, Danielle ;
Lim, Sahnah ;
Sherman, Susan G. .
AIDS AND BEHAVIOR, 2017, 21 (10) :3047-3056
[42]   Weight Control Patterns, Substance Use, and Mental Health in Korean Adolescents: A Latent Class Analysis [J].
Lee, Serim ;
Yoon, Jiyoung ;
Chun, Jongserl .
INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, 2024,
[43]   Developmental typology of trajectories to nighttime bladder control: Epidemiologic application of longitudinal latent class analysis [J].
Croudace, TJ ;
Jarvelin, MR ;
Wadsworth, MEJ ;
Jones, PB .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 157 (09) :834-842
[44]   Are Informing Knowledge and Supportive Attitude Enough for Tobacco Control? A Latent Class Analysis of Cigarette Smoking Patterns among Medical Teachers in China [J].
Niu, Lu ;
Luo, Dan ;
Silenzio, Vincent M. B. ;
Xiao, Shuiyuan ;
Tian, Yongquan .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2015, 12 (10) :12030-12042
[45]   Identifying co-occurrence and clustering of chronic diseases using latent class analysis: cross-sectional findings from SAGE South Africa Wave 2 [J].
Chidumwa, Glory ;
Maposa, Innocent ;
Corso, Barbara ;
Minicuci, Nadia ;
Kowal, Paul ;
Micklesfield, Lisa K. ;
Ware, Lisa Jayne .
BMJ OPEN, 2021, 11 (01)
[46]   Work-related burnout among personnel at a university hospital: identifying quantitative and qualitative differences using latent class analysis [J].
Besse, Christine Sarah ;
Bonsack, Charles ;
Gilles, Ingrid ;
Golay, Philippe .
JOURNAL OF MENTAL HEALTH, 2021, 30 (03) :388-399
[47]   Identifying child protection workers at risk for secondary traumatization: A latent class analysis of the Professional Quality of Life Scale-5 [J].
Vang, Maria L. ;
Pihl-Thingvad, Jesper ;
Shevlin, Mark .
JOURNAL OF TRAUMATIC STRESS, 2022, 35 (06) :1608-1619
[48]   Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis Implications for Clinical Practice [J].
Rinehart, Deborah J. ;
Oronce, Carlos ;
Durfee, Michael J. ;
Ranby, Krista W. ;
Batal, Holly A. ;
Hanratty, Rebecca ;
Vogel, Jody ;
Johnson, Tracy L. .
MEDICAL CARE, 2018, 56 (01) :E1-E9
[49]   The Contribution of Maternal and Paternal Self-Control to Child and Adolescent Self-Control: a Latent Class Analysis of Intergenerational Transmission [J].
Bolger, Michelle A. ;
Meldrum, Ryan Charles ;
Barnes, J. C. .
JOURNAL OF DEVELOPMENTAL AND LIFE-COURSE CRIMINOLOGY, 2018, 4 (03) :251-275
[50]   Identifying and Predicting Subgroups of Veterans With Mild Traumatic Brain Injury Based on Distinct Configurations of Postconcussive Symptom Endorsement: A Latent Class Analysis [J].
Kinney, Adam R. ;
Schneider, Alexandra L. ;
King, Samuel E. ;
Yan, Xiang-Dong ;
Forster, Jeri E. ;
Bahraini, Nazanin H. ;
Brenner, Lisa A. .
JOURNAL OF HEAD TRAUMA REHABILITATION, 2024, 39 (04) :247-257