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Frequency of family history of acute myocardial infarction in patients with acute myocardial infarction, Am J Cardiol, 80, 122, 10.1016\u002FS0002-9149(97)00304-4\nHippe, 1999, Familial predisposition and susceptibility to the effect of other risk factors for myocardial infarction, J Epidemiol Community Health, 53, 269, 10.1136\u002Fjech.53.5.269\nLeander, 2001, Family history of coronary heart disease, a strong risk factor for myocardial infarction interacting with other cardiovascular risk factors, Epidemiology, 12, 215, 10.1097\u002F00001648-200103000-00014\nTavani, 2001, n-3 polyunsaturated fatty acids, fish, and nonfatal acute myocardial infarction, Circulation, 104, 2269, 10.1161\u002Fhc4401.099450\nBreslow, 1980\nKhoury, 1995, Bias in using family history as a risk factor in case-control studies of disease, Epidemiology, 6, 511, 10.1097\u002F00001648-199509000-00009\nPeyser, 1997, Genetic epidemiology of coronary artery disease, Epidemiol Rev, 19, 80, 10.1093\u002Foxfordjournals.epirev.a017949\nMarian, 1998, Genetic risk factors for myocardial infarction, Curr Opin Cardiol, 13, 171\nManzoli, 2000, Vascular and haemostatic gene polymorphisms associated with non-fatal myocardial infarction, Ital Heart J, 1, 184\nMitchell, 1996, Genetic and environmental contributions to cardiovascular risk factors in Mexic an Americans. 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2020, Internet searches for acute anxiety during the early stages of the COVID-19 pandemic, JAMA Intern. Med., 180, 1706, 10.1001\u002Fjamainternmed.2020.3305\nBaams, 2018, Disparities for LGBTQ and gender nonconforming adolescents, Pediatrics, 141, 10.1542\u002Fpeds.2017-3004\nBlau\nBruine de Bruin, 2021, Age differences in COVID-19 risk perceptions and mental health: evidence from a national US survey conducted in March 2020, J. Gerontol. Ser. B, 76, e24, 10.1093\u002Fgeronb\u002Fgbaa074\nCook, 2014, Assessing racial\u002Fethnic disparities in treatment across episodes of mental health care, Health Serv. Res., 49, 206, 10.1111\u002F1475-6773.12095\nCore Team, 2020\nCzeisler, 2020, Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States, June 24–30, 2020, Morb. Mortal. Wkly Rep. (MMWR), 69, 1049, 10.15585\u002Fmmwr.mm6932a1\nCzeisler, 2021, Mental health during the COVID-19 pandemic: challenges, populations at risk, implications, and opportunities, Am. J. Health Promot., 35, 301, 10.1177\u002F0890117120983982b\nDe Boni, 2020, Depression, anxiety, and lifestyle among essential workers: a web survey from Brazil and Spain during the COVID-19 pandemic, J. Med. Internet Res., 22, 10.2196\u002F22835\nDuan, 2020, An investigation of mental health status of children and adolescents in China during the outbreak of COVID-19, J. Affect. Disord., 275, 112, 10.1016\u002Fj.jad.2020.06.029\nDuan, 2020, An investigation of mental health status of children and adolescents in China during the outbreak of COVID-19, J. Affect. Disord., 275, 112, 10.1016\u002Fj.jad.2020.06.029\nDubey, 2020, Children of frontline coronavirus disease-2019 warriors: our observations, J. Pediatr., 224, 188, 10.1016\u002Fj.jpeds.2020.05.026\nElfelt\nElfelt\nEttman, 2020, Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic, JAMA Netw. Open, 3, e2019686, 10.1001\u002Fjamanetworkopen.2020.19686\nFish, 2020, “I’m kinda stuck at home with unsupportive parents right now”: LGBTQ youths’ experiences with COVID-19 and the importance of online support, J. Adolesc. Health, 67, 450, 10.1016\u002Fj.jadohealth.2020.06.002\nGolberstein, 2020, Coronavirus disease 2019 (COVID-19) and mental health for children and adolescents, JAMA Pediatr., 174, 819, 10.1001\u002Fjamapediatrics.2020.1456\nGunnell, 2018, Adolescent mental health in crisis, BMJ, 361\nHalford, 2020, Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic, PLoS One, 15, 10.1371\u002Fjournal.pone.0236777\nHalford, 2020, Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic, PLoS One, 15, 10.1371\u002Fjournal.pone.0236777\nHardin, 2005, Generalized estimating equations (GEE)\nHøjsgaard, 2006, The R Package geepack for generalized estimating equations, J. Stat. Softw., 15, 1\nHolmes, 2020, Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science, Lancet Psychiatry, 7, 547, 10.1016\u002FS2215-0366(20)30168-1\nHorigian, 2020, Loneliness, mental health, and substance use among US young adults during COVID-19, J. Psychoactive Drugs, 1\nIob, 2020, Abuse, self-harm and suicidal ideation in the UK during the COVID-19 pandemic, Br. J. Psychiatr., 217, 543, 10.1192\u002Fbjp.2020.130\nIob, 2020, Levels of severity of depressive symptoms among at-risk groups in the UK during the COVID-19 pandemic, JAMA Netw. Open, 3, e2026064, 10.1001\u002Fjamanetworkopen.2020.26064\nKang, 2020, Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak – a cross-sectional study, Brain Behav. Immun., 87, 11, 10.1016\u002Fj.bbi.2020.03.028\nKantamneni, 2020, The impact of the COVID-19 pandemic on marginalized populations in the United States: a research agenda, J. Vocat. Behav., 119, 103439, 10.1016\u002Fj.jvb.2020.103439\nKillgore, 2020, Loneliness: a signature mental health concern in the era of COVID-19, Psychiatry Res., 290, 113117, 10.1016\u002Fj.psychres.2020.113117\nLai, 2020, Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019, JAMA Netw. Open, 3, e203976, 10.1001\u002Fjamanetworkopen.2020.3976\nLai, 2020, Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019, JAMA Netw. Open, 3, e203976, 10.1001\u002Fjamanetworkopen.2020.3976\nLarsen, 2019, Geospatial suicide clusters and emergency responses: an analysis of text messages to a crisis service, 6109\nLeeb, 2020, Mental health–related emergency department visits among children aged\u003C 18 years during the COVID-19 pandemic—United States, January 1–October 17, 2020, Morb. Mortal. Wkly Rep., 69, 1675, 10.15585\u002Fmmwr.mm6945a3\nLüdecke\nMagnavita, 2021, SARS\u002FMERS\u002FSARS-CoV-2 outbreaks and Burnout Syndrome among healthcare workers. An umbrella systematic review, Int. J. Environ. Res. Public Health, 18, 4361, 10.3390\u002Fijerph18084361\nMcCormack, 2020, Economic vulnerability of households with essential workers, JAMA, 324, 388, 10.1001\u002Fjama.2020.11366\nMcGinty, 2020, Psychological distress and loneliness reported by US adults in 2018 and April 2020, JAMA, 324, 93, 10.1001\u002Fjama.2020.9740\nMcNicholas, 2020\nMurphy, 2020\nNorredam, 2018, Incidence of psychiatric disorders among accompanied and unaccompanied asylum-seeking children in Denmark: a nation-wide register-based cohort study, Eur. Child Adolesc. Psychiatry, 27, 439, 10.1007\u002Fs00787-018-1122-3\nPatrick, 2020, Well-being of parents and children during the COVID-19 pandemic: a national survey, Pediatrics, 146, 10.1542\u002Fpeds.2020-016824\nPower, 2020, The COVID-19 pandemic has increased the care burden of women and families, sustainability: science, Pract. Policy, 16, 67\nRossi, 2020, Mental health outcomes among front and second line health workers associated with the COVID-19 pandemic in Italy, MedRxiv\nRunkle, 2020, Quasi-experimental evaluation of text-based crisis patterns in youth following hurricane Florence in the Carolinas, 2018, Sci. Total Environ.\nRussell, 2020, Initial challenges of caregiving during COVID-19: caregiver burden, mental health, and the parent–child relationship, Child Psychiatry Hum. Dev., 51, 671, 10.1007\u002Fs10578-020-01037-x\nSon, 2020, Effects of COVID-19 on college students’ mental health in the United States: interview survey study, J. Med. Internet Res., 22, 10.2196\u002F21279\nSpoorthy, 2020, Mental health problems faced by healthcare workers due to the COVID-19 pandemic–A review, Asian J. Psychiatr., 51, 102119, 10.1016\u002Fj.ajp.2020.102119\nSrivastava, 2020, Gender and sexual identities predicting patterns of co-occurring health risks among sexual minority youth: a latent class analysis approach, Prev. Sci., 21, 908, 10.1007\u002Fs11121-020-01137-z\nStijelja, 2020, COVID-19 and psychological distress—changes in internet searches for mental health issues in New York during the pandemic, JAMA Intern. Med., 180, 1703, 10.1001\u002Fjamainternmed.2020.3271\nSugg, 2019, Crisis support-seeking behavior and temperature in the United States: is there an association in young adults and adolescents?, Sci. Total Environ., 10.1016\u002Fj.scitotenv.2019.02.434\nTang, 2020, Mental health and its correlates among children and adolescents during COVID-19 school closure: the importance of parent-child discussion, J. Affect. 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Transm. Dis., 38, 919, 10.1097\u002FOLQ.0b013e31822545d9\nBankole, 1999, Determinants of trends in condom use in the United States, 1988–1995, Fam. Plan. Perspect., 31, 264, 10.2307\u002F2991536\nBotman, 2000, Design and estimation for the national health interview, 1995–2004, Vital Health Stat., 2, 130:1\nBouvard, 2009, A review of human carcinogens–part B: biological agents, Lancet Oncol., 10, 321, 10.1016\u002FS1470-2045(09)70096-8\nBrouwer, 2015, Trends in HPV cervical and seroprevalence and associations between oral and genital infection and serum antibodies in NHANES 2003–2012, BMC Infect. Dis., 15, 575, 10.1186\u002Fs12879-015-1314-0\nBrouwer, 2015, Transmission heterogeneity and autoinoculation in a multisite infection model of HPV, Math. Biosci., 270, 115, 10.1016\u002Fj.mbs.2015.10.012\nBrouwer, 2018, Case studies of gastric, lung, and oral cancer connect etiologic agent prevalence to cancer incidence, Cancer Res., 78, 3386, 10.1158\u002F0008-5472.CAN-17-3467\nCatania, 1999, National trends in condom use among at-risk heterosexuals in the United States, J. Acquir. Immune Defic. Syndr., 27, 176, 10.1097\u002F00126334-200106010-00013\nCenters for Disease Control and Prevention\nChaturvedi, 2014, High-risk oral human papillomavirus load in the US population, National Health and Nutrition Examination Survey 2009–2010, J. Infect. Dis., 210, 441, 10.1093\u002Finfdis\u002Fjiu116\nChaturvedi, 2015, NHANES 2009–2012 findings: association of sexual behaviors with higher prevalence of oral oncogenic human papillomavirus infections in U.S. men, Cancer Res., 75, 2468, 10.1158\u002F0008-5472.CAN-14-2843\nChaturvedi, 2018, Effect of prophylactic human papillomavirus (HPV) vaccination on oral HPV infections among young adults in the United States, J. Clin. Oncol., 36, 262, 10.1200\u002FJCO.2017.75.0141\nColón-López, 2012, HPV awareness and willingness to HPV vaccination among high-risk men attending an STI clinic in Puerto Rico, P. R. Health Sci. J., 31, 227\nDunne, 2007, Prevalence of HPV infection among females in the United States, JAMA, 297, 813, 10.1001\u002Fjama.297.8.813\nDunne, 2011, Human papillomavirus (HPV) 6, 11, 16, and 18 prevalence among females in the United States–National Health and Nutrition Examination Survey, 2003–2006: opportunity to measure HPV vaccine impact?, J. Infect. 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Head Neck Surg., 8895, 1\nKreimer, 2014, Prospects for prevention of HPV-driven oropharynx cancer, Oral Oncol., 50, 555, 10.1016\u002Fj.oraloncology.2013.06.007\nKreimer, 2013, Incidence and clearance of oral human papillomavirus infection in men: the HIM cohort study, Lancet, 6736, 1\nLazcano-Ponce, 2001, Epidemiology of HPV infection among Mexican women with normal cervical cytology, Int. J. Cancer, 91, 412, 10.1002\u002F1097-0215(20010201)91:3\u003C412::AID-IJC1071>3.0.CO;2-M\nLewis, 2018, Prevalence of genital human papillomavirus among sexually experienced males and females aged 14–59 years, United States, 2013–2014, J. Infect. Dis., 217, 869, 10.1093\u002Finfdis\u002Fjix655\nLiu, 2015, Trends and patterns of sexual behaviors among adolescents and adults aged 14 to 59 years, United States, Sex. Transm. Dis., 42, 20, 10.1097\u002FOLQ.0000000000000231\nLiu, 2016, Seroprevalence of 9 human papillomavirus types in the United States, 2005–2006, J. Infect. Dis., 213, 191, 10.1093\u002Finfdis\u002Fjiv403\nMarkowitz, 2009, Seroprevalence of human papillomavirus types 6, 11, 16, and 18 in the United States: National Health and Nutrition Examination Survey 2003–2004, J. Infect. Dis., 200, 1059, 10.1086\u002F604729\nMarkowitz, 2013, Reduction in human papillomavirus (HPV) prevalence among young women following HPV vaccine introduction in the United States, National Health and Nutrition Examination Surveys, 2003–2010, J. Infect. Dis., 208, 385, 10.1093\u002Finfdis\u002Fjit192\nMarkowitz, 2016, Prevalence of HPV after introduction of the vaccination program in the United States, Pediatrics, 137, 1, 10.1542\u002Fpeds.2015-1968\nMcQuillan, 2017, Prevalence of HPV in adults aged 18–69: United States, 2011–2014, NCHS Data Brief, 280\nMolano, 2002, Prevalence and determinants of HPV infection among Colombian women with normal cytology, Br. J. Cancer, 87, 324, 10.1038\u002Fsj.bjc.6600442\nMolano, 2003, Determinants of clearance of human papillomavirus infections in Colombian women with normal cytology: a population-based, 5-year follow-up study, Am. J. Epidemiol., 158, 486, 10.1093\u002Faje\u002Fkwg171\nMoscicki, 2012, Updating the natural history of human papillomavirus and anogenital cancers, Vaccine, 30, F24, 10.1016\u002Fj.vaccine.2012.05.089\nMuñoz, 2003, Epidemiologic classification of human papillomavirus types associated with cervical cancer, N. Engl. J. Med., 348, 518, 10.1056\u002FNEJMoa021641\nNational Center for Health Statistics, 2013, National Health and Nutrition Examination Survey: analytic guidelines, 1999–2010, Vital Health Statistics, 2\nNunes, 2017, Concordance of beta-papillomavirus across anogenital and oral anatomic sites of men: the HIM Study, Virology, 510, 55, 10.1016\u002Fj.virol.2017.07.006\nParker, 2017\nPatel, 2017, Concordance of penile and oral human papillomavirus infections among men in the United States, J. Infect. Dis., 215, 1207, 10.1093\u002Finfdis\u002Fjix116\nReiter, 2016, HPV infection among a population-based sample of sexual minority women from USA, Sex. Transm. Infect., 1\nRoche Molecular Systems, Inc\nRyser, 2017, Modeling of US human papillomavirus (HPV) seroprevalence by age and sexual behavior indicates an increasing trend of HPV infection following the sexual revolution, J. Infect. Dis., 216, 604, 10.1093\u002Finfdis\u002Fjix333\nSaraiya, 2015, US assessment of HPV types in cancers: implications for current and 9-valent HPV vaccines, J. Natl. Cancer Inst., 107, 10.1093\u002Fjnci\u002Fdjv086\nSatterwhite, 2013, Sexually transmitted infections among US women and men: prevalence and incidence estimates, 2008, Sex. Transm. Dis., 40, 187, 10.1097\u002FOLQ.0b013e318286bb53\nSmelov, 2018, Beta and gamma human papillomaviruses in anal and genital sites among men: prevalence and determinants, Sci. Rep., 8, 1, 10.1038\u002Fs41598-018-26589-w\nSonawane, 2017, Oral human papillomavirus infection: differences in prevalence between sexes and concordance with genital human papillomavirus infection, NHANES 2011 to 2014, Ann. Intern. Med., 167, 714, 10.7326\u002FM17-1363\nSonenstein, 1989, Sexual activity, condom use and AIDS awareness among adolescent males, Fam. Plan. 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The National AIDS Behavioral Surveys, JAMA, 270, 1576, 10.1001\u002Fjama.1993.03510130082035\nBerrios, 1992, HIV antibody testing in young, urban adults, Arch Intern Med, 152, 397, 10.1001\u002Farchinte.1992.00400140135029\n1998, MMWR, 47, 1086\nJeannin, 1994, HIV testing in Switzerland, AIDS, 8, 1599, 10.1097\u002F00002030-199411000-00012\nnHouston, 1998, Factors associated with HIV testing among Canadians: results of a population-based survey, Int J STD AIDS, 9, 341, 10.1258\u002F0956462981922377\nSamet, 1997, Factors associated with HIV testing among sexually active adolescents: a Massachusetts survey, Pediatrics, 100, 371, 10.1542\u002Fpeds.100.3.371\nJohnson, 1994\nPuro, 1998, Temporal trends in reasons for and results of HIV testing among women in Rome, Italy, Eur J Epidemiol, 14, 433, 10.1023\u002FA:1007422714701\nSpizzichino, 1998, HIV infection among foreign people involved in HIV-related risk activities and attending an HIV reference centre in Rome: the possible role of counselling in reducing risk behavior, AIDS Care, 10, 473, 10.1080\u002F09540129850124000\nGirardi, 1993, Counselling and testing for HIV infection in Rome 1985–1990: analysis of client characteristics and seroprevalence, Eur J Epidemiol, 9, 162, 10.1007\u002FBF00158786\nRenzi, 1999, Sexual behaviors and HIV\u002FAIDS risk in the general population: methodological aspects of a national study within the context of a European Concerted Action, Ann Ig, 11, 83\nHausser, 1991\n1992, Nature, 360, 407, 10.1038\u002F360407a0\n1992, MMWR, 41, 743\nChiaro, 1996, I sondaggi telefonici. 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model for predicting the counseling practices of physicians, J Gen Intern Med, 1, 14, 10.1007\u002FBF02596319\nMann, 1989, Physicians' perceptions of their role in cardiovascular risk reduction, Prev Med, 18, 45, 10.1016\u002F0091-7435(89)90053-4\nOrleans, 1985, Health promotion in primary care: a survey of U.S. family practitioners, Prev Med, 14, 636, 10.1016\u002F0091-7435(85)90083-0\nRosen, 1984, Prevention and health promotion in primary care: baseline results on physicians from the INSURE project on lifecycle preventive health services, Prev Med, 13, 535, 10.1016\u002F0091-7435(84)90022-7\nBandura, 1986\nClark, 1999, Physical activity and its correlates among urban primary care patients aged 55 years and older, J Gerontol B Psychol Sci Soc Sci, 54B, S41, 10.1093\u002Fgeronb\u002F54B.1.S41\nLee, 1997, Active vs. passive methods of recruiting ethnic minority women to a health promotion program, Ann Behav Med, 19, 378, 10.1007\u002FBF02895157\nOrleans, 1999, Rating our progress in population health promotion: report card on six behaviors, Am J Health Promot, 14, 75, 10.4278\u002F0890-1171-14.2.75\nKing, 1998, Physical activity interventions targeting older adults: a critical review and recommendations, Am J Prev Med, 15, 316, 10.1016\u002FS0749-3797(98)00085-3\nMcAuley, 1993, Self-efficacy and the maintenance of exercise participation in older adults, J Behav Med, 16, 103, 10.1007\u002FBF00844757\nSallis, 1992, Explanation of vigorous physical activity during two years using social learning variables, Soc Sci Med, 34, 25, 10.1016\u002F0277-9536(92)90063-V\nSallis, 1989, A multivariate study of determinants of vigorous exercise in a community sample, Prev Med, 18, 20, 10.1016\u002F0091-7435(89)90051-0\nMcDonald, 1999, The Regenstrief medical record system: a quarter century experience, Int J Med Inf, 54, 225, 10.1016\u002FS1386-5056(99)00009-X\n2000\nClark, 1999, Exercise self-efficacy and outcome expectations and their correlates among socioeconomically disadvantaged older adults, Health Educ Behav, 26, 535, 10.1177\u002F109019819902600410\nRetzlaff, 1997, The northwest lipid research clinic fat intake scale: validation and utility, Am J Public Health, 87, 181, 10.2105\u002FAJPH.87.2.181\nGuralnik, 1993, Maintaining mobility in late life: demographic characteristics and chronic conditions, Am J Epidemiol, 137, 845, 10.1093\u002Foxfordjournals.aje.a116746\nWare, 1992, Developing and testing the 20-item short-form health survey: a general population application\n1988\nDamush, 1999, Prevalence and correlates of physician recommendations to exercise among older adults, J Gerontol Med Sci, 54A, M423, 10.1093\u002Fgerona\u002F54.8.M423\nKing, 1996, Cognitive-behavioral mediators of changing multiple behaviors: smoking and a sedentary lifestyle, Prev Med, 25, 684, 10.1006\u002Fpmed.1996.0107\nMarcus, 1999, The efficacy of exercise as an aid for smoking cessation in women, Arch Intern Med, 159, 1229, 10.1001\u002Farchinte.159.11.1229\nJette, 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