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Journal articles on the topic 'Demographic and social correlates'

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Published: 10 December 2022
Last updated: 28 January 2023

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1

Wright, StuartA. "Demographic and social correlates of NIMBY." Journal of Hazardous Materials 28, no. 1-2 (September 1991): 200. http://dx.doi.org/10.1016/0304-3894(91)87030-6.

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2

PERUGA, A., D. D. CELENTANO, and V. NAVARRO. "Social, demographic and attitudinal correlates of AIDS." European Journal of Public Health 3, no. 1 (1993): 8–13. http://dx.doi.org/10.1093/eurpub/3.1.8.

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3

Feigelman, William, John McIntosh, Julie Cerel, David Brent, and Nina J. Gutin. "Identifying the Social Demographic Correlates of Suicide Bereavement." Archives of Suicide Research 23, no. 2 (July 12, 2018): 273–88. http://dx.doi.org/10.1080/13811118.2018.1456384.

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4

KEIL, JULIAN E., HILDEGARD R. MARICQ, MARTIN C. WEINRICH, ANDREW R. McGREGOR, and FRANCOISE DIAT. "Demographic, Social and Clinical Correlates of Raynaud Phenomenon." International Journal of Epidemiology 20, no. 1 (1991): 221–24. http://dx.doi.org/10.1093/ije/20.1.221.

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5

Freeman, Mark A. "Demographic Correlates of Individualism and Collectivism." Journal of Cross-Cultural Psychology 28, no. 3 (May 1997): 321–41. http://dx.doi.org/10.1177/0022022197283007.

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6

Montgomery, Ann Elizabeth, Jack Tsai, and John R. Blosnich. "Demographic Correlates of Veterans’ Adverse Social Determinants of Health." American Journal of Preventive Medicine 59, no. 6 (December 2020): 828–36. http://dx.doi.org/10.1016/j.amepre.2020.05.024.

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7

Jogdande, Amit J., and Anurag Gupta. "Social anxiety disorder in medical students: socio-demographic correlates." International Journal Of Community Medicine And Public Health 4, no. 9 (August 23, 2017): 3293. http://dx.doi.org/10.18203/2394-6040.ijcmph20173831.

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Background: The aims and objectives were to find types of social anxiety disorders among MBBS students; to study association of socio demographic factors and social anxiety disorder among MBBS students. Methods: This cross sectional study was conducted on 150 medical students of 2nd and 3rd year who were willing to participate. Students were asked to fill pretested structured pro-forma, maintaining all the privacy. The social phobia inventory (SPIN) questionnaire was used to diagnose SAD. Mild social anxiety is considered as normal. Analysis was done using the SPSS Version 20. Results: Out of 150 medical students, mostly (54%) were not having SAD and 46% of students who were having SAD. 27% of students were having mild SAD and 19% of students were having significant SAD. Mild social anxiety is considered as normal. Factors as gender, score in 10th standard, score in 12th standard, mother’s education, student’s residence after age of 18 years, student’s either of parents are dead or alive, were found to be significantly associated with SAD. After applying multiple logistic regression it was found that Gender (female), <75% in 10thStd, <75% in 12thStd and Mothers education <12th standard were found to be significantly associated with SAD in students. Conclusions: Out of 150 medical students, 19% of students were having significant SAD. Gender (female), <75% in 10thStd, <75% in 12thStd and Mothers education <12th standard were found to be significantly associated with SAD in students.
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8

B, Raut Nitin. "Socio-Demographic and Health Related Correlates of Loneliness in Elderly." Journal of Medical Science And clinical Research 04, no. 11 (November 13, 2016): 13834–46. http://dx.doi.org/10.18535/jmscr/v4i11.55.

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9

Taris, Toon W., Ilona Van Beek, and Wilmar B. Schaufeli. "Demographic and Occupational Correlates of Workaholism." Psychological Reports 110, no. 2 (April 2012): 547–54. http://dx.doi.org/10.2466/03.09.17.pr0.110.2.547-554.

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Drawing on a convenience sample of 9,160 Dutch employees, the present study examined whether commonly held ideas about the associations between demographic, professional, and occupational characteristics and workaholism would be observed. For example, it is sometimes assumed that managers are more likely to display workaholic tendencies than others. Analysis of variance was used to relate workaholism scores (measured as the combination of working excessively and working compulsively) to participant age, sex, employment status (self-employed or not), profession, and occupational sector. Relatively high average scores on workaholism were obtained by workers in the agriculture, construction, communication, consultancy, and commerce/trade sectors, as well as managers and higher professionals. Low scores were found for those in the public administration and services industry sectors, and for nurses, social workers, and paramedics. The other characteristics were not or only weakly related to workaholism.
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10

Driver, Edwin D., and Aloo E. Driver. "Social and Demographic Correlates of Consanguineous Marriages in South India." Journal of Comparative Family Studies 19, no. 2 (August 1988): 229–44. http://dx.doi.org/10.3138/jcfs.19.2.229.

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11

Manton, Kenneth G. "Epidemiological, Demographic, and Social Correlates of Disability among the Elderly." Milbank Quarterly 67 (1989): 13. http://dx.doi.org/10.2307/3350235.

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12

Dzúrová, Dagmar, Lado Ruzicka, and Eva Dragomirecká. "Demographic and Social Correlates of Suicide in the Czech Republic." Czech Sociological Review 42, no. 3 (June 1, 2006): 557–72. http://dx.doi.org/10.13060/00380288.2006.42.3.05.

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13

Unger, Jennifer B., and Gregory B. Molina. "Contraceptive use among latina women: social, cultural, and demographic correlates." Women's Health Issues 8, no. 6 (November 1998): 359–69. http://dx.doi.org/10.1016/s1049-3867(98)00030-9.

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14

Shaikh, Kashem. "The social and demographic correlates of divorce in rural Bangladesh." Asia-Pacific Population Journal 13, no. 3 (July 17, 1998): 1–11. http://dx.doi.org/10.18356/6332c99d-en.

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15

Güzel, Hande, and Sharon Glazer. "Demographic Correlates of Acculturation and Sociocultural Adaptation." Journal of International Students 9, no. 4 (November 15, 2019): 1074–94. http://dx.doi.org/10.32674/jis.v10i1.614.

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A cross-sectional survey study of international (n=207) and domestic (n=173) students revealed, as expected, that international students had higher acculturative stress than domestic students, but this difference did not vary by marital status or length of stay. Also, women from high Uncertainty Avoidance (UA) and high Power Distance (PD) countries (vs. low UA and high PD countries) had greater social interaction acculturative stress (e.g., difficulty making friends). Thus, cultural background plays an important role in students’ adaptation and university counselors might need to collaborate with academic staff to help international students adjust. Female students from high UA and high PD countries may be especially in need of assistance to cope with acculturative stress.
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16

Seeman, Mary V. "Clinical and Demographic Correlates of Neuroleptic Response." Canadian Journal of Psychiatry 30, no. 4 (June 1985): 243–45. http://dx.doi.org/10.1177/070674378503000404.

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This paper presents evidence that the positive symptoms of schizophrenia respond best to neuroleptics, as do patients with hyperdopaminergic activity (high blink rates, low prolactin levels). Those schizophrenics with defect states, intellectual and neurological impairment, brain atrophy, neuropsychological impairment, and poor school and social premorbid adjustment do not respond as well to dopamine blockers. It has been suggested that this group of schizophrenics do not suffer from a dopamine disturbance. There is also evidence for the relatively superior response of women, especially premenopausal women. This may be due to several factors but appears to be related to estrogen levels, especially since psychotic symptoms appear, in some women, premenstrually and post-partum, when estrogen levels drop. There is now substantial evidence that estrogens antagonize dopamine in the brain.
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17

Leavy, Richard L., and Eve M. Adams. "Feminism as a Correlate of Self-Esteem, Self-Acceptance, and Social Support Among Lesbians." Psychology of Women Quarterly 10, no. 4 (December 1986): 321–26. http://dx.doi.org/10.1111/j.1471-6402.1986.tb00757.x.

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In this study it was hypothesized that, among lesbians, agreement with feminist ideology and participation in feminist activities would correlate positively with self-esteem, self-acceptance, and social support. Demographic variables were also examined as correlates. Respondents were contacted through 11 lesbian, gay, and feminist organizations and establishments and asked to complete a research questionnaire. One-hundred-twenty-three usable questionnaires were returned. Age and current involvement in a lesbian relationship were significantly related to self-esteem, self-acceptance, and social support. Participation in feminist activities also correlated with self-acceptance. The results give tentative, but important, information useful in understanding the correlates of self-esteem and support among lesbians.
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18

Heaven, Patrick C. L. "The Paradox of Socialism: Demographic Correlates of Social and Economic Beliefs." Journal of Social Psychology 132, no. 3 (June 1, 1992): 289–97. http://dx.doi.org/10.1080/00224545.1992.9924703.

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19

HODGKINS, BENJAMIN J., EDWARD MANRING, and MARGARET A. MEYERS. "Demographic, Social and Stress Correlates of Hypertension Among the Urban Poor." Family Practice 7, no. 4 (1990): 261–66. http://dx.doi.org/10.1093/fampra/7.4.261.

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20

Poyrazli, Senel, Philip R. Kavanaugh, Adria Baker, and Nada Al-Timimi. "Social Support and Demographic Correlates of Acculturative Stress in International Students." Journal of College Counseling 7, no. 1 (March 2004): 73–82. http://dx.doi.org/10.1002/j.2161-1882.2004.tb00261.x.

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21

Tzeng, Oliver C. S., Rebecca L. Robinson, and Henry C. Karlson. "Demographic Correlates and Judicial Determinations of Child Sexual Abuse Offenses." Journal of Social Distress and the Homeless 8, no. 2 (January 1999): 55–77. http://dx.doi.org/10.1023/a:1021330326366.

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22

Tucker, M. Belinda, and Robert Joseph Taylor. "Demographic Correlates of Relationship Status among Black Americans." Journal of Marriage and the Family 51, no. 3 (August 1989): 655. http://dx.doi.org/10.2307/352165.

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23

Mohsin, Zehra, Sarah Shahed, and Talat Sohail. "Correlates of Professional Quality of Life in Nurses." Annals of King Edward Medical University 23, no. 4 (March 2, 2018): 463–67. http://dx.doi.org/10.21649/akemu.v23i4.2222.

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To look into the correlation between demographic variables, perceived social support and professional quality of lifeof nurses in public hospitals. A sample of 160 nurses of age (M=33.48, SD=9.18) was selected from public hospitals of Lahore. The nurses completed a demographic information form, MultidimensionalScale of Perceived Social Supportand Professional Quality of Life Scale. The data were analyzed using SPSS version 20. Two demographic variables, age and experience had significant positive correlation with compassion fatigue, r =.252, n=160, p <.01 and r =.256, n=160, p <.01 respectively. Other demographicvariables i.e. working hours and monthly income had no significant relationship with the subscales of Professional Quality of Life (compassion satisfaction, compassion fatigue and burnout). Perceived Social Support had a significant correlation with compassion satisfaction, r=.222, n=160, p<.01. It was concluded that the relationship between age, experience and compassion fatigue of nurses was significantly positive. The greater the age and experience of the nurses the more likely they are to have compassion fatigue. Perceived Social Support was related with compassion satisfaction which suggests that nurses’ perception of social support can increase their compassion satisfaction.
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24

Zeidner, Moshe, and Mordechai Shechter. "Psychological responses to air pollution: Some personality and demographic correlates." Journal of Environmental Psychology 8, no. 3 (September 1988): 191–208. http://dx.doi.org/10.1016/s0272-4944(88)80009-4.

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25

Dewangan, Roshan Lal, Promila Singh, Tanmay Mahapatra, and Sanchita Mahapatra. "Demographic and Clinical Correlates of Social Cognition in Schizophrenia: Observation from India." Indian Journal of Psychological Medicine 40, no. 2 (March 2018): 143–55. http://dx.doi.org/10.4103/ijpsym.ijpsym_156_17.

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26

Du, Wenjuan, Jiayi Zhou, Jianjian Liu, Xuhao Yang, Hanxu Wang, Meikun He, Zongfu Mao, and Xiaojun Liu. "Social-Demographic Correlates of the Mental Health Conditions among the Chinese Elderly." Sustainability 11, no. 24 (December 12, 2019): 7114. http://dx.doi.org/10.3390/su11247114.

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Studies on psychological problems among the elderly were mainly conducted in developed countries, which may not fit China under the context of the dramatic changes of social environment. This study aims to assess the status and social-demographic determinants of the mental health among the Chinese elderly. The Chinese version of the Symptom Checklist-90-R (SCL-90-R) was used to measure participants’ mental health. A logistic model was established to identify the main socio-demographic factors associated with the overall detection rate of SCL-90-R. The overall positive detection rate of SCL-90-R was 23.6%, and the four symptoms with the highest positive detection rate were somatization (39.5%), obsessive-compulsive disorder (28.1%), other poor mental health symptoms (mainly sleep and diet problems) (25.7%), and depression (25.1%). The results showed those aged 75–79 (OR = 0.640, 95% CI 0.452 to 0.905) and 80 or above (OR = 0.430, 95% CI 0.302 to 0.613), those received 0 (OR = 0.224, 95% CI 0.162 to 0.310) or 1–5 years of education (OR = 0.591, 95% CI 0.449 to 0.776), those were living with spouse only (OR = 0.817, 95% CI 0.563 to 0.997) and with multiple generations (OR = 0.689, 95% CI 0.472 to 0.950), those holding a non-agricultural household registration (OR = 0.727, 95% CI 0.537 to 0.984), and those with an better higher household income were less likely to be positive in overall mental health symptoms. Mental health was shown to be better among those with more advanced ages (≥75), lower levels of schooling (≤5), normal body mass index, higher household incomes, and those who are married and live with their spouse or multiple generations, and those who came from city and currently live in the county.
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27

Brown, R. Khari, Robert Joseph Taylor, and Linda M. Chatters. "Race/Ethnic and Social-Demographic Correlates of Religious Non-Involvement in America." Journal of Black Studies 46, no. 4 (March 19, 2015): 335–62. http://dx.doi.org/10.1177/0021934715573168.

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28

Astone, Nan Marie, Cheryl Alexander, Alain Joffe, and Norma Kanarek. "The Social and Demographic Correlates of Smoking Among Young Adults in Maryland." American Journal of Preventive Medicine 13, no. 6 (November 1997): 25–29. http://dx.doi.org/10.1016/s0749-3797(18)30090-4.

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29

Kim, Young Bum, and Seung Hee Lee. "Gender Differences in Correlates of Loneliness among Community-Dwelling Older Koreans." International Journal of Environmental Research and Public Health 19, no. 12 (June 15, 2022): 7334. http://dx.doi.org/10.3390/ijerph19127334.

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Background: Despite a relatively large number of studies exploring late-life loneliness, few studies have compared gender differences in the correlates of loneliness of older adults. Thus, we examined the gender differences in correlates of loneliness among community-dwelling older adults. Methods: This study was a secondary analysis of data from a parent study conducted among community-dwelling Koreans 65 years of age or older. Loneliness was measured by the 20-item Revised University of California Los Angeles Loneliness Scale. As potential correlates, demographic, health-related, and social variables were included. Multivariate hierarchical regression analyses were performed separately by gender. Results: Men were more likely to be lonely than women, after controlling for demographic, health-related, and social variables. A social network of family ties and being married were found to be inversely correlated with loneliness in men but not in women. A social network of friendship ties and participation in a variety of community activities were inversely correlated with loneliness in both men and women. Conclusions: A social network of family ties and being married may help reduce late-life loneliness, particularly among men. This study highlights the importance of considering gender differences in the design of strategies for preventing and alleviating late-life loneliness.
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30

Peralta, Miguel, João Martins, Dartagnan Pinto Guedes, Hugo Sarmento, and Adilson Marques. "Socio-demographic correlates of physical activity among European older people." European Journal of Ageing 15, no. 1 (April 28, 2017): 5–13. http://dx.doi.org/10.1007/s10433-017-0430-7.

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31

Vidyasagar, Dr. "Socio-demographic correlates of HIV-TB Co-infected Patients Attending ART Centre of Jharkhand." Journal of Medical Science And clinical Research 05, no. 05 (May 6, 2017): 21427–30. http://dx.doi.org/10.18535/jmscr/v5i5.35.

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32

Zeidner, Moshe. "Some demographic and health correlates of trait anger in Israeli adults." Journal of Research in Personality 24, no. 1 (March 1990): 1–15. http://dx.doi.org/10.1016/0092-6566(90)90002-n.

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33

Ghubash, R., E. Hamdi, and P. Bebbington. "The Dubai Community Psychiatric Survey: I. Prevalence and socio-demographic correlates." Social Psychiatry and Psychiatric Epidemiology 27, no. 2 (1992): 53–61. http://dx.doi.org/10.1007/bf00788506.

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34

Kawakami, N., T. Haratani, T. Hemmi, and S. Araki. "Prevalence and demographic correlates of alcohol-related problems in Japanese employees." Social Psychiatry and Psychiatric Epidemiology 27, no. 4 (1992): 198–202. http://dx.doi.org/10.1007/bf00789006.

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35

Abou-Saleh, M. T., R. Ghubash, and T. K. Daradkeh. "Al Ain Community Psychiatric Survey. I. Prevalence and socio-demographic correlates." Social Psychiatry and Psychiatric Epidemiology 36, no. 1 (March 12, 2001): 20–28. http://dx.doi.org/10.1007/s001270050286.

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36

Soohinda, Geeta, and Harshavardhan Sampath. "Social Phobia Among School Students Prevalence, Demographic Correlates and Socio a cademic Impairment." Journal of Indian Association for Child and Adolescent Mental Health 12, no. 3 (July 2016): 211–29. http://dx.doi.org/10.1177/0973134220160302.

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37

Erevik, E. K., T. Torsheim, Ø. Vedaa, C. S. Andreassen, and S. Pallesen. "Alcohol Use Among Business Students: Demographic, Personality, and Social Correlates of Increased Consumption." Scandinavian Journal of Educational Research 62, no. 6 (May 2, 2017): 900–910. http://dx.doi.org/10.1080/00313831.2017.1307277.

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38

Ouali, U., R. Jomli, R. Nefzi, H. Ouertani, and F. Nacef. "Social stigma in severe mental illness in Tunisia: Clinical and socio-demographic correlates." European Psychiatry 41, S1 (April 2017): S577. http://dx.doi.org/10.1016/j.eurpsy.2017.01.861.

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IntroductionMental patients generally internalize some of the negative conceptions about how most people view them: they might be considered incompetent or untrustworthy or believe that people would not want to hire, or marry someone with mental illness. A lot of research on stigma has been conducted in western countries; however, little is still known on the situation in Arab-Muslim societies.ObjectivesTo evaluate social stigma as viewed by patients suffering from severe mental illness (SMI)MethodsThis is a cross-sectional study on clinically stabilized patients with schizophrenia and Bipolar Disorder (BD) according to DSM IV, who were interviewed in our out-patients clinic with the help of a semi-structured questionnaire, containing 8 opinions on the social inclusion and stigmatization of psychiatric patients, with special reference to the local cultural context (e.g.: “It is better to hide mental illness in order to preserve the reputation of my family”)ResultsWe included 104 patients, 51% with schizophrenia and 49% with BD. Mean age was 38.4 years (18–74 years); 59.6% were males. Overall social stigma scores were high. Social stigma in patients was correlated with gender, age, place of residence and diagnosis. Patients with BD showed significantly less social stigma than patients with schizophrenia.ConclusionOur results show the need for a better understanding of this phenomenon in patients with SMI, but also within Tunisian society, in order to elaborate anti stigma strategies adapted to the local context.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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39

Stockdale, Margaret S., Hayley L. Dawson-Owens, and Lynda M. Sagrestano. "Social, Attitudinal, and Demographic Correlates of Adolescent vs College-age Tobacco Use Initiation." American Journal of Health Behavior 29, no. 4 (July 1, 2005): 311–23. http://dx.doi.org/10.5993/ajhb.29.4.3.

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40

Hu, Wei Ming, Xu Yuan Yin, Xiao Li Yin, Zhen Hua Zhu, Lu Yang Guan, Wen Long Hou, Guang Zhong Yin, et al. "Prevalence, social-demographic and cognitive correlates of depression in Chinese psychiatric medical staff." Journal of Affective Disorders 263 (February 2020): 60–63. http://dx.doi.org/10.1016/j.jad.2019.11.133.

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41

Khan, Zubeda. "Selected Correlates of Morbidity in Pakistan." Pakistan Development Review 31, no. 4II (December 1, 1992): 1037–49. http://dx.doi.org/10.30541/v31i4iipp.1037-1049.

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The study of morbidity from the point of view of demographic analysis refers to the incidence and prevalence of sickness in the population during a certain reference period. Morbidity being the state of condition from which people may return to normal health or, subject to the seriousness of illness, may in some cases die. Though from the point of view of medical discipline any deviation from normal health i.e. a state of complete physical, mental and social well-being, is of direct concern for research. The morbidity statistics for which data have become available for a national level statistical or demographic analysis, refers to inability to perform the usual daily routine, inability to take normal food and requiring bed rest for a specific period of time.
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42

Pathak, Pooja. "Social and Environmental Correlates of Obesity in Medical Students of UPUMS Saifai: A Cross-sectional Study." International Journal of Healthcare Education & Medical Informatics 08, no. 01 (September 19, 2021): 8–11. http://dx.doi.org/10.24321/2455.9199.202107.

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Background: Overweight and obesity are defined as abnormal or excessive fat accumulation that presents a risk to health. Medical students are more prone to gain excess weight due to long study hours and unhealthy food habits. Aim and Objective: The aim of the study was to find out the prevalence and social and environmental correlates of obesity among undergraduate students of a medical college of a rural area in central Uttar Pradesh, India. Methodology: A cross-sectional study was conducted in one of the medical colleges of central Uttar Pradesh, India. Data were collected on socio-demographic and behavioural factors, and anthropometric assessments were carried out using standard equipment and procedures. Results: The proportion of overweight/obesity was 15.6%. Fast food consumption, per capita income and hypertension were found to have statistically significant association with overweight/ obesity.
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43

Singh, Kamlesh, and Mahima Raina. "Demographic Correlates and Validation of PERMA and WEMWBS Scales in Indian Adolescents." Child Indicators Research 13, no. 4 (June 25, 2019): 1175–86. http://dx.doi.org/10.1007/s12187-019-09655-1.

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44

Sayi, Takudzwa S., and Amson Sibanda. "Correlates of Child Marriage in Zimbabwe." Journal of Family Issues 39, no. 8 (January 31, 2018): 2366–88. http://dx.doi.org/10.1177/0192513x18755198.

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In countries where child marriage remains widespread, concerted efforts are underway to eliminate it, but overall progress remains uneven and slow. One in three Zimbabwean girls marries by age 18. To inform the country’s efforts to reduce child marriage, data from 5,542 women aged 20 to 24 years in the 2005-2006, 2010-2011, and 2015 Zimbabwe Demographic and Health Surveys are used to examine individual-, household-, and cluster-level correlates. Cumulative incidence functions first document changes over time, and multilevel models are used to explore correlates. Although prevalence is high, younger cohorts were less likely to marry young. A woman’s education, wealth quintile, religion, and provincial residence correlated with marrying as a child. Cluster-level female schooling, number of children ever born, and proportions using contraceptives were also correlated with child marriage. Efforts should promote socioeconomic well-being and target cultural practices promoting the practice. Interventions targeting at-risk women should complement universal approaches to combating child marriage.
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45

Kwan, Y. K., and W. C. Ip. "Adolescent Health in Hong Kong: Disturbing Socio-Demographic Correlates." Social Indicators Research 91, no. 2 (July 1, 2008): 259–68. http://dx.doi.org/10.1007/s11205-008-9281-0.

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46

Markowitz, David M., and Paul Slovic. "Social, psychological, and demographic characteristics of dehumanization toward immigrants." Proceedings of the National Academy of Sciences 117, no. 17 (April 16, 2020): 9260–69. http://dx.doi.org/10.1073/pnas.1921790117.

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This study extends the current body of work on dehumanization by evaluating the social, psychological, and demographic correlates of blatant disregard for immigrants. Participants (n = 468) were randomly assigned to read a scenario where 1) an immigrant or 2) an immigrant and their child were caught illegally crossing the southern border of the United States, and then rated how long they should spend in jail if convicted. Participants reported that they would sentence the immigrant to more jail time than the immigrant and child. Those who sent immigrants to jail for more time also viewed them as socially distant and less human, described immigration in impersonal terms, and endorsed other social harms unrelated to immigration (e.g., the death penalty for convicted murderers). Crucially, endorsed social harms accounted for explained variance beyond simply holding conservative views. We position these data within the current literature on dehumanization theory and immigration issues.
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47

Gray, Joshua C., Natasha A. Schvey, and Marian Tanofsky-Kraff. "Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study." Psychological Medicine 50, no. 9 (July 10, 2019): 1539–47. http://dx.doi.org/10.1017/s0033291719001545.

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AbstractBackgroundPrevious research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m2) in a nationally representative sample of youth.MethodsMultiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the associations of both fixed (e.g. demographics) and potentially modifiable (e.g. psychological/behavioral) variables with BMI in a diverse representative sample of youth. The primary analyses consisted of 9–10 year olds divided into a training (n = 2724) and test (n = 1123) sets. Secondary analyses were conducted by sex, ethnicity, and race.ResultsThe full sample model captured 12% of the variance in both the training and test sets, suggesting good generalizability. Stimulant medications and demographic factors were most strongly associated with BMI. Lower attention problems and matrix reasoning (i.e. nonverbal abstract problem solving and inductive reasoning) and higher social problems and screen time were robust positive correlates in the primary analyses and in analyses separated by sex.ConclusionsBeyond demographics and stimulant use, this study highlights abstract reasoning as an important cognitive variable and reaffirms social problems and screen time as significant correlates of BMI and as modifiable therapeutic targets. Prospective data are needed to understand the predictive power of these variables for BMI gain.
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48

Bogg, Tim, and Elizabeth Milad. "Demographic, personality, and social cognition correlates of coronavirus guideline adherence in a U.S. sample." Health Psychology 39, no. 12 (December 2020): 1026–36. http://dx.doi.org/10.1037/hea0000891.

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49

Celedonia, Karen L., Michael L. Wilson, Hanan A. El Gammal, and Abeer M. Hagras. "Physical fighting among Egyptian adolescents: social and demographic correlates among a nationally representative sample." PeerJ 1 (August 13, 2013): e125. http://dx.doi.org/10.7717/peerj.125.

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50

Seabra, André F., Denisa Mendonça, Martine Thomis, Robert M. Malina, and José Maia. "Demographic And Social-cultural Correlates Of Physical Activity In Portuguese Adolescents 10-18 Years." Medicine & Science in Sports & Exercise 41 (May 2009): 179. http://dx.doi.org/10.1249/01.mss.0000354197.36192.0c.

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